50+ AWS (Amazon Web Services) Jobs in India

Senior Full Stack Developer

Location: India, Remote

Employment Type: Contract

Department: Engineering

About Us

OpenAssets is building open standards for the next generation of capital markets, providing the trusted foundation for real-world asset tokenization and digital currencies.

We design regulatory-conscious solutions for alternative asset digitization and loyalty programs, enabling organizations to create secure, scalable digital assets and personalized engagement experiences.

Join OpenAssets and help shape the future of digital finance!

Overview

OpenAssets is seeking a Senior Full-Stack Developer to own end-to-end delivery across our multi-tenant platform. This is a hands-on engineering role spanning the full MERN stack: MongoDB schemas, Node.js services, and React.js operator and investor interfaces with working knowledge of EVM-based blockchain systems to support on-chain integrations.

The ideal candidate brings deep experience designing and shipping production systems end-to-end, optimizing backend and frontend performance, integrating with EVM blockchains, and mentoring engineers in a distributed, fast-moving environment.

What You'll Do

• Design, develop, and maintain full-stack web applications across the MERN stack: MongoDB, Express.js, React.js, and Node.js using TypeScript on both client and server
• Build and maintain RESTful APIs with consistent error handling, pagination, versioning, and authentication
• Model, index, and optimize MongoDB schemas using compound indexes, aggregation pipelines, and transactions on replica sets
• Develop responsive React.js user interfaces using modern patterns including hooks, state management, and component-level testing
• Implement authentication and authorization using JWT and role-based access control with secure middleware patterns and OWASP-aligned input validation
• Integrate with EVM-based blockchain systems (Ethereum, Polygon, Arbitrum, Base), including wallet interactions, transaction lifecycle handling, and on-chain/off-chain reconciliation
• Deploy and operate services on AWS using Docker and CI/CD pipelines, with structured logging, monitoring, and on-call participation
• Write automated tests (unit, integration, end-to-end) using Jest, Mocha, Supertest, or similar frameworks
• Conduct code reviews, mentor mid-level engineers, and contribute to engineering documentation and best practices
• Collaborate with product, design, and engineering leadership across time zones to scope features, define API contracts, and deliver end-to-end

Qualifications & Experience

• 8+ years of full-stack development experience
• Strong expertise in MongoDB, Express.js, React.js, Node.js, and TypeScript across both client and server
• Experience designing and operating RESTful APIs and frontend integrations at scale
• Hands-on experience with MongoDB data modeling, compound indexes, aggregation pipelines, and replica-set transactions
• Proficiency in:
• JWT/OAuth-based authentication and role-based access control
• Secure middleware patterns and OWASP-aligned input validation
• Pagination, query optimization, and performance tuning
• Experience integrating with EVM-based blockchain systems (Ethereum, Polygon, Arbitrum, Base), including wallet interactions, transaction lifecycle handling, and on-chain/off-chain reconciliation
• Hands-on experience with AWS infrastructure (EC2, ECS, Lambda, S3, CloudWatch, IAM)
• Familiarity with Docker, GitHub Actions, and modern CI/CD workflows
• Experience writing automated tests across unit, integration, and end-to-end layers using Jest, Mocha, Supertest, Playwright, or Cypress
• Solid understanding of backend and frontend security practices
• Strong ownership mindset and accountability
• Ability to drive technical execution independently and mentor mid-level engineers
• English fluency

Nice to Have

• Fintech, capital markets, or payments experience 
• MongoDB Atlas certification or replica-set tuning expertise
• EVM developer tooling (ethers.js, Hardhat, Foundry)
• Tokenized securities or on-chain asset issuance
• Multi-tenant SaaS architecture
• Event-driven systems (Kafka, SQS, BullMQ)
• GraphQL
• Performance engineering (keyset pagination, caching, Redis) 
• Distributed tracing (OpenTelemetry)
• Infrastructure as code (Terraform, Pulumi, CDK)
• Open-source contributions or technical writing
• CS-related Bachelor's degree
• AWS certifications
• Prior remote-first startup experience.

We are committed to providing equal opportunity for qualified applicants to contract positions, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. This is a contract opportunity, not a direct employment role.

Senior DevOps Engineer

Location: India, Remote

Type: Contract

Department: Engineering

About Us

OpenAssets is building open standards for the next generation of capital markets, providing the trusted foundation for real-world asset tokenization and digital currencies.

We specialize in alternative asset digitization, offering regulatory-conscious tools to design, issue, and manage digital assets in complex financial environments. We also develop loyalty solutions that turn customer engagement into programmable digital assets, helping brands create personalized experiences that drive growth.

OpenAssets operates at the intersection of finance, technology, and regulation focused on building secure, scalable, and open infrastructure for the future of digital markets. Join OpenAssets and be part of shaping the future of digital finance!

Overview

We are seeking a Senior DevOps Engineer to lead the evolution of our cloud infrastructure and deployment ecosystems.

This role acts as the foundation of our engineering reliability, bridging the gap between high-performance blockchain development and robust, secure cloud operations. You will be responsible for architecting scalable AWS environments, automating mission-critical CI/CD pipelines, and ensuring the absolute integrity of our security and observability frameworks.

What You’ll Do

Cloud Infrastructure & Architecture

• Design, provision, and maintain OpenAssets’ AWS infrastructure: including EC2, ECS/Fargate, Lambda, S3, RDS, VPC, IAM, CloudFront, SQS, ElastiCache, and CloudWatch.
• Architect for high availability, fault tolerance, and cost efficiency across production and non-production environments.
• Manage networking, security groups, subnets, load balancers, and access controls to ensure a secure and well-segmented cloud environment.
• Scale infrastructure dynamically to handle platform growth, partner onboarding, and peak load events.
• Deploy, configure, and manage blockchain node infrastructure supporting on-chain integrations and smart contract interactions.

CI/CD & Automation

• Implement and maintain CI/CD pipelines using GitHub Actions and/or AWS CodeBuild for frontend, backend, and smart contract deployments.
• Manage infrastructure as code using Terraform (or OpenTofu) and/or CloudFormation to ensure reproducible, auditable environments.
• Automate build, test, and deployment processes to minimize manual effort and reduce release risk.
• Develop and maintain automation scripts in Python and Bash for operational and provisioning workflows.
• Administer and scale Kubernetes clusters (EKS) for deploying services and blockchain node infrastructure.

Security & Compliance

• Implement and enforce security best practices across infrastructure: TLS, VPNs, IAM roles, private key management, secrets management, and patch management.
• Work with the CISO to conduct infrastructure security audits and maintain compliance with data handling, uptime, and audit logging requirements.
• Manage secrets and environment configuration securely using AWS Secrets Manager or HashiCorp Vault.
• Ensure encryption at rest and in transit across all critical data stores and communication channels.
• Apply knowledge of blockchain security, including consensus mechanisms, smart contract interactions, and Layer 2 infrastructure, to harden on-chain components.

Observability & Incident Response

• Set up and maintain monitoring, alerting, and dashboards for key platform metrics using CloudWatch, Prometheus, Grafana, or equivalent.
• Establish structured logging and distributed tracing practices (OpenTelemetry or similar) across services.
• Lead incident response for production issues, triaging, communicating, resolving, and writing blameless postmortems.
• Design, implement, and regularly test backup and disaster recovery strategies to minimize data loss and downtime.

Collaboration & Enablement

• Support engineering teams in troubleshooting environment-specific issues across development, staging, and production.
• Document infrastructure architecture, runbooks, and operational procedures — keeping them current and actionable.
• Train developers on deployment tooling, CI/CD workflows, and on-call processes.
• Evaluate and introduce new tooling and practices to improve DevOps maturity across the organization.

Qualifications & Experience

• 5+ years of experience in DevOps, SRE, or cloud infrastructure engineering.
• Deep hands-on expertise with AWS: EC2, ECS/Fargate, Lambda, RDS, S3, VPC, IAM, CloudWatch, SQS, CloudFront, and ElastiCache.
• Strong experience with infrastructure as code using Terraform, OpenTofu, and/or CloudFormation.
• Proficiency with containerization and orchestration (Docker, Kubernetes / EKS).
• Experience designing and maintaining CI/CD pipelines using GitHub Actions, AWS CodeBuild, GitLab CI, or similar.
• Solid Linux systems administration and scripting skills (Bash, Python).
• Strong understanding of cloud networking and security: TLS, VPCs, security groups, IAM, private key management, secrets management.
• Experience with monitoring and observability tooling: CloudWatch, Prometheus, Grafana, ELK stack, or equivalent.
• Familiarity with distributed tracing (OpenTelemetry, Jaeger, or similar).
• Working knowledge of blockchain technologies: consensus mechanisms, smart contract infrastructure, or Layer 2 scaling solutions.
• Calm, systematic problem-solving approach to production incidents and outages.
• Strong communication skills, able to explain infrastructure concerns clearly to both technical and non-technical stakeholders.
• Fluid in English

Nice to Have

• AWS certifications (Solutions Architect, DevOps Engineer Professional, or equivalent).
• Experience deploying and operating blockchain node infrastructure (Ethereum, Polygon, or similar).
• Background in fintech, capital markets, payments, or regulated infrastructure environments.
• Experience with security frameworks and compliance standards (SOC 2, ISO 27001).
• Multi-tenant SaaS infrastructure experience.
• Experience with event-driven architectures (Kafka, SQS, BullMQ).
• Cost optimization practices: reserved instances, Savings Plans, right-sizing.
• Infrastructure as code with Pulumi or CDK.
• Open-source contributions or technical writing.

We are committed to providing equal opportunity for qualified applicants to contract positions, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. This is a contract opportunity, not a direct employment role.

Blockchain Developer

Location: India, Remote

Employment Type: Full-Time / Contract

Department: Engineering

About Us

OpenAssets is building open standards for the next generation of capital markets, providing the trusted foundation for real-world asset tokenization and digital currencies.

We specialize in alternative asset digitization, offering regulatory-conscious tools to design, issue, and manage digital assets in complex financial environments. We also develop loyalty solutions that turn customer engagement into programmable digital assets, helping brands create personalized experiences that drive growth.

OpenAssets operates at the intersection of finance, technology, and regulation focused on building secure, scalable, and open infrastructure for the future of digital markets. Join OpenAssets and be part of shaping the future of digital finance!

Overview

We are seeking a Blockchain Developer to lead the technical implementation of our Web3 infrastructure. In this role, you will be responsible for the end-to-end lifecycle of smart contracts and their integration into our broader financial ecosystem. You will act as a technical authority on blockchain security, scalability, and architecture, ensuring our platform meets the rigorous demands of institutional digital finance.

What You’ll Do

Smart Contract & Blockchain Development

• Design, develop, test, and deploy smart contracts and blockchain applications.
• Build and maintain secure, scalable backend services for blockchain products.
• Develop and maintain cross-platform applications that integrate with on-chain infrastructure.
• Integrate wallets, payment systems, and blockchain APIs with existing systems.
• Optimize for gas efficiency, transaction latency, reliability, and scalability.

Security & Quality

• Implement and uphold best practices for blockchain security and smart contract auditing.
• Review smart contracts and backend code for security vulnerabilities and performance issues.
• Support audits, security reviews, and production releases.
• Maintain high test coverage and disciplined release processes.

Collaboration & Communication

• Collaborate with product and engineering teams to define and deliver technical requirements.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.
• Mentor junior engineers and contribute to a strong engineering culture.
• Stay current with emerging blockchain technologies, DeFi, and Web3 infrastructure trends.

Qualifications & Experience

• Experience: 3+ years of software engineering experience with at least 3+ years of hands-on blockchain/Web3 development.
• Blockchain Core: Strong experience with Solidity and EVM-compatible chains (Ethereum, Polygon, and others).
• Production Deployment: Proven track record building, testing, deploying, and maintaining smart contracts in production.
• Deep Technical Knowledge: Solid understanding of blockchain architecture, including consensus mechanisms, gas optimization, wallet flows, token standards, and transaction lifecycles.
• Full-Stack Proficiency: Good understanding of the MERN stack (MongoDB, Express.js, React, Node.js) and how full-stack applications integrate with blockchain infrastructure.
• Backend Expertise: Proficiency in Node.js and TypeScript with experience building RESTful backend applications.
• Testing & Tooling: Experience with smart contract and backend testing frameworks (e.g., Foundry, Hardhat, Mocha, Jest) and Web3 libraries like Ethers.js or Web3.js.
• Cloud Infrastructure: Hands-on experience with AWS, including deploying, managing, and scaling services like EC2, S3, Lambda, and RDS.
• Databases & DevOps: Comfortable with relational (PostgreSQL) and non-relational (MongoDB) databases, Git, and collaborative development workflows.
• Soft Skills: Strong communication skills in English with the ability to articulate technical concepts to diverse stakeholders.

Nice to Have

• Familiarity with the Move language (Sui, Aptos).
• Experience with smart contract audit tooling such as Slither, Mythril, or Manticore.
• Exposure to RWA tokenization, DeFi, stablecoins, NFTs, staking, or bridging protocols.
• Professional background in fintech, payments, or regulated blockchain use cases.

We are committed to providing equal opportunity for qualified applicants to contract positions, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. This is a contract opportunity, not a direct employment role.

Software Engineer – EdTech (PHP)

Experience: 3+ Years

Work Mode: Permanent Work From Home

Role Summary

We are seeking a highly skilled software developer with strong experience in EdTech platforms and education ERP systems. The ideal candidate will have expertise in core PHP/Laravel and database technologies, with hands-on experience in building and scaling education-focused modules such as LMS, online examination systems, admissions, and fee management.

This role focuses on developing scalable, secure, and high-performance solutions for schools, colleges, and online learning platforms.

Key Responsibilities

• Design, develop, and maintain Education ERP and EdTech platform modules.
• Build and enhance systems for LMS (Learning Management System), online exams, admissions, fee management, HR, and finance.
• Develop and optimize REST APIs/GraphQL services for seamless integration with web and mobile platforms.
• Ensure high performance, scalability, and security for large-scale student and institutional data.
• Work closely with product, QA, and implementation teams to deliver EdTech features.
• Conduct code reviews, maintain coding standards, and mentor junior developers.
• Continuously improve platform capabilities based on EdTech trends and user needs.

Required Skills & Qualifications

• Strong expertise in Core PHP (Laravel Framework).
• Solid experience with MySQL, MongoDB, PostgreSQL (database design & optimization).
• Understanding of EdTech workflows like student lifecycle, course management, and assessments.
• Frontend basics: JavaScript, jQuery, HTML, CSS (React/Vue is a plus).
• Experience with REST APIs, GraphQL, and third-party integrations (payment gateways, SMS, and email services).
• Familiarity with Git/GitHub, Docker, and CI/CD pipelines.
• Knowledge of cloud platforms (AWS, Azure, GCP) is an advantage.
• Minimum 3+ years of development experience, with at least 2 years in education ERP/EdTech systems.

Preferred Experience

• Prior experience working in EdTech companies or education ERP platforms.
• Deep understanding of LMS, online examination systems, admissions, fees, HR, and finance modules.
• Experience handling high-traffic educational platforms (e.g., exam portals, live classes, student dashboards).
• Exposure to scalable architecture for large student/user bases.

We are seeking a highly skilled software developer with proven experience in developing and scaling education ERP solutions. The ideal candidate should have strong expertise in Node.js or PHP (Laravel), MySQL, and MongoDB, along with hands-on experience in implementing ERP modules such as HR, Exams, Inventory, Learning Management System (LMS), Admissions, Fee Management, and Finance.

Key Responsibilities

Design, develop, and maintain scalable Education ERP modules.

Work on end-to-end ERP features, including HR, exams, inventory, LMS, admissions, fees, and finance.

Build and optimize REST APIs/GraphQL services and ensure seamless integrations.

Optimize system performance, scalability, and security for high-volume ERP usage.

Conduct code reviews, enforce coding standards, and mentor junior developers.

Stay updated with emerging technologies and recommend improvements for ERP solutions.

Required Skills & Qualifications

Strong expertise in Node.js and PHP (Laravel, Core PHP).

Proficiency with MySQL, MongoDB, and PostgreSQL (database design & optimization).

Frontend knowledge: JavaScript, jQuery, HTML, CSS (React/Vue preferred).

Experience with REST APIs, GraphQL, and third-party integrations (payment gateways, SMS, and email).

Hands-on with Git/GitHub, Docker, and CI/CD pipelines.

Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

3+ years of professional development experience, with a minimum of 2 years in ERP systems.

Preferred Experience

Prior work in the education ERP domain.

Deep knowledge of HR, Exam, Inventory, LMS, Admissions, Fees & Finance modules.

Exposure to high-traffic enterprise applications.

Strong leadership, mentoring, and problem-solving abilities

Benefit:

Permanent Work From Home

Job Title : Agentic AI Architect

Experience : 5+ Years

Location : Hyderabad (Work From Office)

Employment Type : Contract to Hire

Job Summary :

We are seeking an experienced Agentic AI Architect to design, develop, and deploy enterprise-grade AI solutions.

The ideal candidate should have hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and modern AI frameworks, with a strong focus on building scalable and production-ready AI applications.

Mandatory Skills :

Generative AI, Agentic AI, Python, LLMs, RAG, Prompt Engineering, LangChain, LlamaIndex, OpenAI, Hugging Face, AWS/Azure/GCP, MLOps/LLMOps, APIs, Microservices.

Key Responsibilities :

• Design and architect scalable enterprise AI solutions using Agentic AI and Generative AI technologies.
• Develop AI applications leveraging Python, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or similar.
• Integrate AI models with enterprise applications using APIs and microservices.
• Deploy, monitor, and optimize AI applications using MLOps/LLMOps best practices.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI solutions on cloud platforms.

Required Skills :

• 5+ years of experience in AI/ML, software engineering, or enterprise AI solution development.
• Strong hands-on experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Proficiency in Python for developing AI-powered applications and intelligent agents.
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines and Prompt Engineering techniques.
• Hands-on expertise with AI frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or equivalent.
• Experience designing and integrating REST APIs and microservices-based architectures.
• Good knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with MLOps/LLMOps tools for model deployment, monitoring, and lifecycle management.
• Strong understanding of scalable, secure, and production-ready AI solution architecture.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

• Experience with vector databases and AI orchestration frameworks.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of cloud-native architecture and distributed systems.
• Experience working on enterprise AI transformation projects.

Job Summary

We are looking for an experienced AI Data Architect to design and build an enterprise AI-ready data platform that serves as the single source of truth for AI applications, including RAG, Agentic AI, Conversational AI, ML models, and analytics.

Key Responsibilities

• Design enterprise AI data platform and Lakehouse architecture.
• Build batch & real-time data pipelines.
• Develop semantic models, knowledge graphs, and vector databases.
• Architect RAG and LLMOps infrastructure.
• Implement data governance, security, and AI observability.
• Modernize legacy data platforms to cloud-native architectures.

Required Skills

• Python, SQL, PySpark
• Databricks, Delta Lake, Snowflake
• Kafka, Spark Structured Streaming
• AWS / Azure
• LangChain, LlamaIndex
• OpenAI, Claude, Bedrock
• Pinecone, FAISS, ChromaDB, Neo4j
• MLflow, Docker, Kubernetes, Terraform
• FastAPI, GitHub Actions, Jenkins
• Data Governance, RBAC, CI/CD

Requirements

• 12+ years in Data Engineering/Data Architecture.
• Experience with AI/ML, RAG, LLMOps, and enterprise AI platforms.
• Strong expertise in Lakehouse, Data Mesh, Cloud, and Vector Databases.
• Hands-on experience with enterprise-scale AI data architecture and governance. 

Platform Engineering Lead (For client company)

Location: Pune, India

Experience: 7+ years 

What Success Looks Like

• Engineering teams ship faster with confidence and built-in guardrails.
• Cloud cost, security, and reliability are predictable, measurable, and well-managed.
• CI/CD pipelines are trusted, standardized, and production-ready.
• Platform decisions reduce cognitive load instead of introducing unnecessary process. 

Scope & Expectations

This is a hands-on leadership role combining architecture and implementation.

You will:

• Build, not just review.
• Own the platform roadmap—not just infrastructure tickets.
• Act as a force multiplier for product engineering teams rather than becoming a bottleneck.
• Drive platform strategy while remaining deeply involved in execution.

Key Responsibilities

Platform & Cloud Architecture

• Own Zoop's platform and cloud architecture across GCP and AWS.
• Design reusable, opinionated platform patterns instead of one-off infrastructure.
• Build and evolve Zoop's Internal Developer Platform (IDP), including:
• Self-service environments
• Golden paths (paved roads)
• Standardized templates
• Built-in engineering guardrails
• Lead Kubernetes and cloud-native adoption at scale.
• Drive infrastructure automation using Terraform, Pulumi, or similar Infrastructure-as-Code (IaC) tools.

CI/CD, Reliability & Developer Experience

• Establish robust CI/CD practices with quality gates and production readiness.
• Improve deployment safety through automation and testing.
• Define and monitor:
• Golden Signals
• SLIs
• SLOs
• Incident response processes
• Reduce operational toil and improve developer productivity.
• Make observability a first-class capability using cost-efficient monitoring systems.
• Build an observability platform that multiple engineering teams can easily integrate into their applications.

Security, Privacy & Compliance

• Build security-by-default into infrastructure and deployment pipelines.
• Lead implementation and continuous compliance for:
• DPDP Act (India)
• ISO 27001:2022
• SOC 2 Type II
• Implement:
• Zero Trust architecture
• Least-privilege access
• Secure data isolation

FinOps & Cloud Optimization

• Make cloud costs transparent and accountable across engineering teams.
• Establish FinOps practices including:
• Budgets
• Cost alerts
• Optimization routines
• Drive build-vs-buy decisions using clear ROI analysis.

AI, Data & MLOps Foundations

• Build secure and scalable foundations for AI and MLOps workloads.
• Define guardrails for AI systems and sensitive data handling.

Leadership & Collaboration

• Partner closely with engineering teams to align infrastructure strategy with product goals.
• Mentor engineers and guide teams through technical change.
• Balance long-term platform initiatives with practical execution.

What We're Looking For

Experience

• 7+ years of experience building and operating production infrastructure.
• Experience scaling engineering platforms in high-growth or regulated companies.
• Strong hands-on expertise in:
• Kubernetes and the cloud-native ecosystem
• Service Mesh technologies
• Policy Engines
• GCP, AWS (Azure exposure is a plus)
• Terraform and Infrastructure as Code

Engineering & Operations

• Strong understanding of SDLC and modern CI/CD systems (Jenkins, GitOps, etc.).
• Experience with observability tools such as:
• Grafana
• Prometheus
• New Relic
• Comfortable reading and contributing to production systems written in:
• Go
• Python
• Node.js

Security & Compliance

• Practical experience implementing ISO 27001 and SOC 2 controls.
• Strong understanding of:
• Data protection
• Privacy
• Identity and access management
• Security best practices

Mindset

We're looking for someone who is:

• Action-oriented with sound engineering judgment.
• Analytical, cost-conscious, and reliability-focused.
• Collaborative, calm under pressure, and open to feedback.
• Comfortable challenging decisions and explaining trade-offs when necessary.

Nice to Have

• Experience in fintech, identity, or other regulated industries.
• Built Internal Developer Platforms (IDPs) or shared infrastructure tooling.
• Contributions to open-source projects.

5 -10 years of professional software development experience.

 Experience in any backend tech like Java/Golang/Python/Nodejs/Ruby and Frontend Tech like Reactjs/Angular/Vuejs

with strong working knowledge of frontend/backend frameworks.

 Strong understanding of software architecture, design patterns, and principles

(e.g., SOLID, microservices, event-driven architectures)

 Experience with AI tools, frameworks, platforms, and their application in software delivery

 Experience with cloud platforms (especially AWS services), containerization and orchestration (Docker, Kubernetes)

 Hands-on experience with CI/CD pipelines and automated testing frameworks

 Familiarity with databases (SQL and NoSQL) and data modelling

 Fluency with XP practices: TDD, pair programming, continuous integration,

refactoring

 Working knowledge of security principles (secrets management, least privilege)

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Title: Software Developer

Experience: 4–6 Years

Location: Pune / 3 days' work from Office.

Employment Type: Full-Time

Job Summary

We are looking for a highly skilled Java Developer with strong experience in Java application development, Kubernetes, and CI/CD pipelines. The ideal candidate should have hands-on experience in building scalable backend applications, working with microservices architecture, and deploying applications in containerized cloud environments.

Key Responsibilities

• Design, develop, test, and maintain scalable Java-based applications.
• Develop RESTful APIs and microservices using Java frameworks.
• Build and deploy containerized applications using Docker and Kubernetes.
• Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment.
• Collaborate with DevOps, QA, and product teams to ensure smooth software delivery.
• Monitor application performance and troubleshoot production issues.
• Write clean, maintainable, and reusable code following coding standards and best practices.
• Participate in code reviews, technical discussions, and architecture decisions.
• Optimize application performance, security, and scalability.

Required Skills

• Strong experience in Java development
• Hands-on experience with Spring / Spring Boot
• Good understanding of Microservices Architecture
• Strong knowledge of Kubernetes (K8s) and container orchestration
• Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Bamboo
• Experience with Docker / Containerization
• Strong knowledge of REST APIs
• Good understanding of SQL / Databases
• Experience with Git version control
• Strong debugging and problem-solving skills

Good to Have

• Cloud platform exposure: AWS / Azure / GCP
• Monitoring tools: Grafana, Prometheus, Datadog
• Messaging systems: Kafka / RabbitMQ
• Scripting knowledge: Shell / Python
• Exposure to Agile / Scrum environment

Preferred Background

• Experience working in BFSI, FinTech, Credit Risk, Lending, or Enterprise Product Development environments.
• Ability to work independently and mentor junior developers.

Work Model: Hybrid (3–4 days from Pune office)

AWS Cloud Infrastructure & Snowflake Platform Engineer

Experience: 5+ Years

Employment: Direct Employment with Haparz

Location: Bangalore

About the Role

We are seeking an experienced AWS Cloud Infrastructure & Snowflake Platform Engineer to build and manage secure cloud environments supporting enterprise AI/GenAI initiatives. This role focuses on AWS infrastructure, cloud security, platform engineering, and Snowflake administration rather than data engineering or ETL development.

The ideal candidate should have strong expertise in designing scalable AWS infrastructure, implementing Infrastructure as Code, administering Snowflake platforms, and collaborating with security teams to build enterprise-grade cloud foundations.

Roles & Responsibilities

• Design and implement secure AWS infrastructure following enterprise architecture standards.
• Build and maintain AWS landing zones, multi-account environments, networking, IAM, and cloud governance.
• Configure and manage AWS networking components including VPC, Transit Gateway, PrivateLink, security groups, routing, and connectivity.
• Implement cloud security using IAM, KMS, encryption, identity federation, and security best practices.
• Administer Snowflake platform including role hierarchy, RBAC, warehouses, resource monitors, masking policies, row access policies, and network policies.
• Build reusable Infrastructure as Code using Terraform and CloudFormation.
• Automate infrastructure deployment using CI/CD pipelines and GitHub Actions.
• Partner with cloud security, infrastructure, and architecture teams to ensure platform compliance.
• Enable AI/GenAI engineering teams with secure platform components and governed environments.
• Configure and support AWS Bedrock and Snowflake Cortex platforms where applicable.
• Conduct infrastructure code reviews and promote environments through controlled deployment processes.
• Monitor cloud platform availability, security, performance, and operational health.
• Troubleshoot infrastructure, networking, IAM, and Snowflake administration issues.
• Continuously improve cloud governance, automation, and platform reliability.

What Makes an Ideal Candidate

Candidates should have practical experience with:

AWS Infrastructure

• VPC
• IAM
• KMS
• ECS/EKS
• Transit Gateway
• PrivateLink
• S3
• Lambda
• Multi-account AWS environments
• Landing Zones

Snowflake Administration

• RBAC
• Warehouse management
• Resource Monitors
• Network Policies
• Masking Policies
• Row Access Policies
• User & Role Administration

Infrastructure Automation

• Terraform
• CloudFormation
• GitHub Actions
• AWS CodePipeline

Nice to Have

• AWS Bedrock
• Snowflake Cortex
• AI Platform Enablement
• Financial Services domain
• Cloud Security

Core skills:

• Strong problem-solving abilities

• Proficiency in data structures, algorithms, and coding

• Expertise in low-level design and high-level design

• Competence in SQL and NoSQL databases

• Capability to conduct code and design reviews

• Proficiency in computer science fundamentals

• Knowledge of deployment and production environments

Core Experience:

• 3+ years of hands-on development experience with a focus on coding and deployment.

• Demonstrated strong problem-solving skills with about 3+ years of

practical experience in implementing algorithms.

• Good experience in managing both SQL and NoSQL databases

• 3+ years of experience in low-level and high-level design, along with

engagement in code reviews and a solid understanding of computer

science fundamentals

• Good experience in Java and Spring boot

About ZYSYGY

ZYSYGY is building Germany's zero-fee payment network. Merchants pay zero transaction fees. We route payments directly over SEPA Instant, bypassing Visa, Mastercard, and the entire card network chain. No hardware. No card reader. Just a phone.

We are building the first company to combine a fully software-based merchant POS with a consumer super-app for everyday financial life: payments, transport, utilities, government services, all in one place. Think what UPI did for India. We are doing it for Germany, from the ground up, on banking rails.

Role Overview

You will join the core engineering team as a founding engineer. You will own the backend payment engine end to end: transaction flows, wallet management, SEPA Instant settlement, KYB/KYC integration, recurring mandates, refund logic, and the compliance export layer (DATEV, Kassenbuch, GoBD, fiskaltrust). On mobile, you will contribute to the React Native consumer and merchant apps alongside our mobile engineer.

You will own what you build from development through deployment, monitoring, and production reliability. The architecture decisions you make in the first six months will run in production for years.

What you will do

Design and build the backend payment engine: transaction flows, wallet management, SEPA Instant settlement, offline payment authorization, and recurring mandate billing.

Own KYB/KYC integration and the compliance export layer: DATEV, Kassenbuch, GoBD, and fiskaltrust for KassenSichV.

Build REST APIs for financial-grade reliability and high-throughput transaction processing, including full R-transaction handling and reconciliation pipelines.

Contribute to the React Native consumer and merchant mobile apps alongside our mobile engineer.

Own the full lifecycle of what you build, from development through deployment, monitoring, and continuous improvement.

Integrate AI tooling into your development workflow as a matter of course: code generation, automated testing, and intelligent review.

Who you are

Meaningful hands-on experience building payment systems, fintech infrastructure, or financial APIs.

You have designed a ledger. You understand double-entry bookkeeping, immutable transaction records, and why you never update a financial row.

You have solved the partial failure. Money left one wallet and did not arrive in the other. You know how to detect it, resolve it, and make sure it does not happen again.

You understand idempotency at a design level. You have built systems that survive client retries, duplicate webhooks, and network drops without double-charging anyone.

You have built or reasoned about reconciliation: detecting discrepancies between your internal ledger and an external settlement file, and resolving them reliably at scale.

You understand KYC and KYB state machines, what happens when verification status changes mid-transaction, and what a regulator expects from your audit trail.

You are comfortable with SQL databases and own the full lifecycle of your code from development through deployment.

You can communicate technical decisions clearly to non-technical stakeholders. At this stage of the company, that matters.

You are a continuous learner. Payments infrastructure is a deep domain and you treat it that way.

You are comfortable with ambiguity and early-stage risk. There is no playbook yet. You will help write it.

Strong academic background preferred. Demonstrated engineering ability matters more than institution.

Relocation

Relocation to Munich, Germany, is on the table for the right candidate, including visa support.

Connect with the Founder

You can also connect with me on LinkedIn at www.linkedin.com/in/shabbir-maimoon

Job Title : Alteryx Developer

Experience : 5+ Years (Senior profiles with 8 to 12+ years preferred)

Location : Remote

Employment Type : Contract

Job Summary :

We are looking for an experienced Alteryx Developer to design, develop, and optimize enterprise ETL workflows, data transformation processes, and workflow automation solutions. The ideal candidate should have strong expertise in Alteryx Designer, Alteryx Server, SQL, ETL development, and enterprise data integration.

Mandatory Skills :

Alteryx Designer, Alteryx Server, ETL Development, Workflow Automation, SQL, Data Transformation, Data Migration, SQL Server/Oracle/MySQL/PostgreSQL, API Integration, Azure/AWS, Git.

Key Responsibilities :

• Design and develop scalable Alteryx workflows and ETL pipelines.
• Build reusable macros, analytic apps, and automated workflows.
• Perform data extraction, transformation, validation, and migration.
• Integrate data from databases, APIs, cloud platforms, and flat files.
• Manage Alteryx Server, workflow scheduling, deployment, and production support.
• Optimize workflow performance and ensure data quality.
• Collaborate with business and analytics teams to deliver data solutions.

Required Skills :

• Hands-on experience with Alteryx Designer and Alteryx Server.
• Strong expertise in ETL development, workflow automation, and data transformation.
• Proficiency in SQL with experience working on large datasets.
• Experience with SQL Server, Oracle, MySQL, or PostgreSQL.
• Knowledge of data migration, data validation, and data cleansing.
• Experience integrating data through APIs, cloud platforms, and flat files.
• Hands-on experience with Git and version control.
• Exposure to Azure or AWS cloud platforms.
• Strong analytical, troubleshooting, and performance optimization skills.

Good to Have :

• Python or Java
• Power BI, Tableau, or Spotfire
• Data Warehousing & Data Modeling
• CI/CD, Agile/Scrum
• Alteryx Designer Core Certification

Software Development Engineer (Associate/Intern)

Location: Remote (India preferred) | Type: Full-time | Compensation: Competitive salary + early-stage stock options

🧠 About Alpha

Modern revenue teams juggle 10+ point-solutions. Alpha unifies them into an agent-powered platform that plans, executes, and optimises GTM campaigns—so every touch happens on the right channel, at the right time, with the right context.

Alpha is building the world’s most intuitive AI stack for revenue teams —to engage, convert & scale revenue with an AI powered GTM team. l

Our mission is to make AI not just accessible, but dependable and truly useful.

We’re early, funded, and building with urgency. Join us to help define what work looks like when AI works for you.

🔧 What You’ll Do

You’ll lead the development of our AI GTM platform and underlying AI agents to power seamless multi-channel GTMs.

This is a hybrid UX-engineering role: you’ll translate high-level user journeys into interfaces that feel clear, powerful, and trustworthy.

Your responsibilities:

• Design & implement end-to-end features across React-TS/Next.js, Node.js, Postgres, Redis, and NestJs micro-services for LLM agents.
• Build & document scalable GraphQL / REST APIs that expose our data model (Company, Person, Campaign, Sequence, Asset, ActivityRecord, InferenceSnippet).
• Integrate third-party APIs (CRM, email, ads, CMS) and maintain data sync reliability > 98 %.
• Implement the dynamic agent flow builder with configurable steps, HITL checkpoints, and audit trails.
• Instrument product analytics, error tracking, and CI pipelines for fast feedback and safe releases.
• Work directly with the founder on product scoping, technical roadmap, and hiring pipeline.

✅ What We’re Looking For

• 1–3 years experience building polished web apps (React, Vue, or similar)
• Strong eye for design fidelity, UX decisions, and motion
• Experience integrating frontend with backend APIs and managing state
• Experience with visual builders, workflow editors, or schema UIs is a big plus
• You love taking complex systems and making them feel simple

💎 What You’ll Get

• Competitive salary + high-leverage early equity
• Ownership of user experience at the most critical phase
• A tight feedback loop with real users from Day 1
• Freedom to shape UI decisions, patterns, and performance for the long haul

We are seeking a Technology Solutions Engineer with 3–5 years of hands-on software development experience who is passionate about exploring new technologies and solving business problems through rapid prototyping. The role focuses on evaluating technology solutions, building proof-of-concept (POC) applications, validating third-party integrations, and assessing the technical feasibility of business requirements before production implementation.

Responsibilities:

• Understand business requirements and convert them into technical solution options.
• Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
• Develop POCs and prototypes to validate technical feasibility.
• Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
• Perform technical, scalability, security, and cost feasibility assessments.
• Prepare solution comparison reports, architecture diagrams, and technical recommendations.
• Collaborate with business users, vendors, and engineering teams during evaluations.
• Identify technical risks, assumptions, and implementation dependencies.
• Support engineering teams in transitioning successful POCs into production.
• Maintain clear technical documentation.

Criteria:

·      Bachelor's degree in Computer Science, Information Technology, or a related field.

·      3–5 years of hands-on experience in software development, integration engineering, or solution engineering.

·      Strong coding skills in Python, Node.js, Java, or C#.

·      Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.

·      Hands-on exposure to AWS or another major cloud platform.

·      Experience with Git, Docker, and SQL databases.

·      Excellent analytical, troubleshooting, and communication skills

·      Comfortable collaborating across product, engineering, and business teams

·      Excellent communication, problem-solving, and stakeholder management skills.

Preferred Skills

• Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
• Experience evaluating third-party enterprise software.
• Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.
• Ability to create architecture diagrams and technical proposals.

What Makes You Successful

• Quickly builds functional POCs to validate ideas.
• Can independently evaluate multiple technical approaches.
• Balances technical quality, implementation effort, and business value.
• Communicates findings clearly to technical and non-technical stakeholders.

🚀 We're Hiring | Site Reliability Engineer (SRE)

📍 Location: Hyderabad (Hybrid)

💼 Experience: 4–6 Years

P99Soft is looking for a skilled Site Reliability Engineer (SRE) to join our engineering team. If you're passionate about building highly available, scalable cloud infrastructure and driving automation across modern DevOps environments, we'd love to hear from you.

Key Responsibilities

- Design, implement, maintain, monitor, and support backend servers and microservices infrastructure.

- Build and maintain automation tools for development, testing, operations, and IT infrastructure.

- Participate in 24/7 on-call support for production incidents (PagerDuty).

- Collaborate with cross-functional teams to ensure seamless deployments and operational excellence.

- Define and improve SRE processes across development, testing, releases, and support.

- Troubleshoot complex infrastructure and production issues.

- Drive infrastructure automation and continuous process improvements.

Implement security best practices, vulnerability assessments, and risk management.

- Perform incident management and root cause analysis (RCA).

- Monitor system health, customer experience, and operational KPIs.

Required Skills

- Cloud Platforms: AWS, GCP

- Containerization & Orchestration: Docker, Kubernetes, Rancher, Amazon EKS, Amazon ECS, GKE, Elastic Beanstalk, Google App Engine

- Infrastructure as Code (IaC): Terraform, AWS CloudFormation, GCP Deployment Manager, Ansible

- Monitoring & Observability: Prometheus, Datadog, Alertmanager, Thanos, AWS CloudWatch

- CI/CD: GitLab CI/CD, Jenkins

- Scripting: Python, Golang

- Version Control: GitLab, Perforce, Subversion

- Operating Systems: Ubuntu, CentOS, Amazon Linux, Red Hat Enterprise Linux

If you have hands-on experience managing cloud-native infrastructure, Kubernetes environments, DevOps automation, and production operations, we'd love to connect with you.

📩 Share your resume:

Know someone who would be a great fit? Feel free to like, share, or tag them in the comments.

#Hiring #SiteReliabilityEngineer #SRE #CloudEngineer #DevOps #AWS #GCP #Kubernetes #Docker #Terraform #Jenkins #GitLab #Python #Golang #Infrastructure #CloudComputing #HyderabadJobs #HybridJobs #TechJobs #P99Soft

🚀 We’re Hiring: Sr. PHP Developer | Server Engineer | P99Soft Pvt Ltd

📍 Location: Hyderabad (Hybrid)

🕒 Experience: 5+ Years

💡 About the Role

We are looking for a Sr. PHP Developer / Server Engineer with strong backend expertise to design and build scalable, high-performance game services.

You will own systems end-to-end — from development to deployment and live operations — ensuring performance, security, and reliability of large-scale game systems.

🔧 Key Responsibilities

Design, build & run scalable backend game services (end-to-end ownership)

Collaborate with designers, client engineers & production teams

Build secure systems and prevent cheating risks

Develop automated testing, deployment & live operations pipelines

Monitor performance, cost & optimize server infrastructure

Design data transformation layers & scalable APIs

Work on release management and live game operations

🧠 Required Skills

Strong PHP (mandatory)

6+ years backend development experience

Cloud platforms (AWS / GCP)

Redis & caching systems

Database design (MySQL, PostgreSQL, NoSQL like DynamoDB/Couchbase)

API design & cross-team collaboration

Experience with scalable distributed systems

⭐ Good to Have

Java experience

Game backend / gaming domain exposure

Experience in performance tuning & debugging

Cloud-based game services experience

Strong analytical & problem-solving skills

Passion for gaming

Senior Backend Engineer

Node.js, System Design & Production Platforms

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior Backend Engineer to own the backend architecture of a complex production AI platform on a dedicated client engagement: API design and data modelling, multi-tenancy, orchestration of long-running agent workloads, and the services that manage user projects and generated output.

We are open to full stack engineers whose primary strength and interest is backend. If you have shipped full stack work but the backend is where you do your deepest engineering, you are a fit for this role.

The mandatory requirement for this role is hands-on production experience as a senior backend engineer building complex, scalable systems in Node.js, with end-to-end ownership of architecture, data, and operations on at least one live platform.

The role is hands-on and architectural.

Expect to design system architecture, lead a small group of backend engineers, build the hardest parts yourself, set engineering standards, and partner closely with frontend, AI, and DevOps engineers.

A typical week includes an architecture decision on a new service, hands-on implementation of a critical path, a code review with mid-level engineers, and a working session with the AI engineer on an integration contract.

Responsibilities:

System Architecture

Own the backend architecture across engagements.

Make and document decisions on service boundaries, data models, API contracts, deployment topology, and trade-offs.

Hands-on Backend Delivery

Lead by example on complex modules, performance-critical paths, and high-risk areas using Node.js (Express, NestJS, Fastify) with TypeScript.

Pick up Python (FastAPI) where engagements require it.

Database Design and Performance

Drive PostgreSQL schema design, indexing, query optimisation, migrations, and capacity planning.

Set the data-modelling standard across the pod.

Caching, Queues, and Workflows

Design caching (Redis), event-driven patterns (Kafka, RabbitMQ, SQS, NATS), and long-running workflow orchestration (Temporal, BullMQ, Celery, or equivalent).

Handle retries, idempotency, and failure recovery.

Multi-Tenancy and Platform Patterns

Design and implement multi-tenant data isolation, RBAC, audit logging, and resource quotas appropriate to enterprise-grade products.

API and Integration Design

Set the standard for REST, GraphQL, and gRPC contracts.

Drive versioning, authentication (OAuth, JWT, SSO), security by default, and developer ergonomics.

Observability and Operations

Instrument services with OpenTelemetry, Prometheus, and Grafana.

Define SLOs, lead incident response, and write postmortems.

Code Quality and Mentorship

Run code reviews, define conventions, mentor mid-level engineers, and raise the engineering bar.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day.

Set the team standard for prompts, patterns, AI-assisted review, and validation of AI-generated backend code.

Client Engagement

Represent Unico Connect in technical conversations with customers.

Defend architectural decisions, communicate trade-offs, and manage scope.

Requirements:

Hands-on Production Experience as a Senior or Lead Backend Engineer in Node.js (Mandatory)

Must have personally built and shipped complex production systems in Node.js, owning architecture, data, and operations on at least one live engagement.

Full stack engineers whose deepest work is on the backend qualify.

POCs and internal tools alone do not qualify.

5+ Years of Professional Backend Engineering Experience

With at least 1 to 2 years in a senior or lead role with direct responsibility for technical decisions and team output.

Deep Node.js and TypeScript Proficiency

Strong with Express, NestJS, or Fastify.

Comfort with async patterns, streams, worker threads, and performance profiling.

Python as a Strong Plus

Hands-on production experience with FastAPI, Django, or Flask is a meaningful advantage.

Willingness and demonstrated ability to pick up Python as engagements demand is required.

PostgreSQL Depth

Schema design, normalisation, indexing, query performance, migrations, and at least one production system where you owned the data model end to end.

Caching and Event-Driven Architecture

Hands-on with Redis (or equivalent) and message queues or event-driven patterns (RabbitMQ, SQS, Kafka, NATS).

AWS Depth

Hands-on production experience with EC2, S3, RDS, IAM, VPC, ECR, and at least one of EKS, ECS, or Lambda.

Comfort owning deployment, monitoring, and cost.

System Design and End-to-End Ownership

Able to take an ambiguous problem, break it into components, evaluate alternatives, produce an architecture that holds up under review and load, plan execution, and ship with limited supervision.

AI-Assisted Engineering Experience

Daily use of Claude, Cursor, Copilot, or equivalent.

Strong discipline for reviewing and validating AI-generated backend code.

Excellent Written and Spoken English

Experience working directly with international clients.

Confident defending architectural choices in writing and in review.

Nice to Have:

• Workflow orchestration (Temporal, Airflow)
• GraphQL (Apollo, gRPC)
• Sandboxed execution environments
• Multi-tenant SaaS experience
• OpenTelemetry instrumentation
• Prior agency or consulting experience

Senior Generative AI Engineer

Employment Type: Permanent with VDart Digital

Work Location: Marathalli, Bengaluru

Job Description

We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.

This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.

Key Responsibilities

• Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
• Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
• Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
• Develop scalable AI services and APIs using Python and FastAPI.
• Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
• Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
• Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
• Implement CI/CD pipelines and automated deployment processes for AI workloads.
• Monitor model performance, latency, reliability, and operational efficiency in production environments.
• Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
• Evaluate and adopt emerging Generative AI tools, frameworks, and models.

Required Skills

Generative AI & LLM Expertise

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Production-level experience building and deploying GenAI applications.
• Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
• Experience with AI agents, autonomous workflows, and multi-agent architectures.
• Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.

RAG & Vector Databases

• Strong experience implementing RAG pipelines and semantic retrieval systems.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.

Python & AI Development

• Strong proficiency in Python.
• Experience with FastAPI for AI service and API development.
• Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.

Cloud & Production Deployment

• Mandatory production experience on at least one cloud platform:
• Microsoft Azure
• Experience deploying scalable AI applications in enterprise production environments.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
• Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.

Engineering & Operational Excellence

• Strong understanding of software engineering best practices.
• Experience with Git, version control, automated testing, and release management.
• Experience building secure, scalable, and high-performance AI solutions.
• Ability to troubleshoot production AI systems and optimize performance.

Preferred Skills

• Experience with AI observability and evaluation frameworks.
• Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
• Experience with enterprise AI governance and responsible AI practices.
• Knowledge of distributed AI systems and scalable inference architectures.
• Familiarity with AI security and compliance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5–8 years of overall software engineering experience.
• Minimum 5+ years of hands-on experience in Generative AI and LLM-based application development,
• Proven track record of delivering enterprise-scale AI solutions in production environments.
• Strong communication and stakeholder management skills.

We’re looking for a hands-on builder who can thrive in a fast-paced startup environment. You’ll own features end-to-end, from designing architecture to writing clean, reusable code, testing, deploying, and iterating fast.

What you’ll do

• Build and scale web + mobile applications using Python (Django) and React Native/React.
• Design, develop, and deploy cloud-native solutions using AWS services.
• Work with both SQL and NoSQL databases (PostgreSQL, DynamoDB).
• Ensure applications are secure, scalable, and performance-optimized.
• Collaborate closely with product, design, and business teams to ship features at lightning speed.
• Take ownership of problems - from brainstorming and architecture to debugging in production.
• Bring startup energy: move fast, learn fast, and don’t be afraid to get your hands dirty.

What we’re looking for

• 1-3 years of experience in full-stack development.
• Strong experience in Python (Django).
• Proficiency in React Native/React, with solid knowledge of JavaScript.
• Experience with AWS services (serverless, EC2, S3, etc.).
• Experience with docker or kubernetes.
• Hands-on with databases: PostgreSQL, DynamoDB.
• Strong understanding of data structures, design patterns, and microservices architecture.
• Proficiency with Git and version control workflows.
• A product-first mindset, balancing code quality with speed of execution.
• Great communication skills, detail-oriented, and a true team player.
• Bonus - If you are an AI native developer and try to solve problems using AI

We are looking for an Engineering Lead to own the entire technology stack — from onboarding and underwriting to disbursals, repayments, and collections — and to build the engineering function into something genuinely AI-native. 

What You'll Own 

● Full tech stack: backend, frontend, infrastructure, integrations, and data pipelines 

● Real-time underwriting and decisioning systems 

● LOS/LMS architecture — onboarding, disbursals, repayments, and collections

● Integrations with bureaus, KYC providers, account aggregators, and payment gateways 

● Reconciliation systems — disbursement, repayment, and NACH reconciliation end-to-end 

● AWS infrastructure: scaling, reliability, uptime, and cloud cost ownership ● Data infrastructure for the credit and risk team — feature pipelines, model serving, experiment infrastructure 

● Engineering leadership: hiring, sprint planning, code reviews, and execution standards 

● Compliance systems: RBI guidelines, DPDP, KYC/AML, e-NACH, e-sign 

AI-Native Engineering 

This is a core part of the role, not a bonus. You will build a machine-readable knowledge base of the entire codebase — architecture, data models, service contracts, coding standards, decision history — so that AI agents working on code have the context to produce accurate, consistent output. You will build skills for code review, developer onboarding, and recurring engineering workflows. You will build a code review pipeline where agents do the first pass on every pull request. The knowledge base and the skills improve over time as the team grows and the product evolves. 

What We're Looking For 

● 7+ years in software engineering, with at least 2 years leading teams or architecture

● Strong hands-on experience with Python, Django, and React Native

● Deep expertise in AWS and cloud-native architecture 

● Experience with both SQL and NoSQL databases 

● Strong understanding of distributed systems, microservices, and API design

● Experience owning reconciliation or payment flow infrastructure in a lending or payments context

● Prior experience in fintech / NBFC / digital lending — mandatory

● Strong understanding of the full loan lifecycle — mandatory 

● You have used LLMs seriously as engineering tools and have strong opinions about what makes AI-assisted development produce good output versus mediocre output 

Bonus: Kubernetes / Kafka, AI/ML-driven underwriting, Account Aggregator framework, e-NACH / e-Sign / Video KYC integrations 

What Success Looks Like 

● scales with strong uptime, performance, and reliability

● Reconciliation runs cleanly — no financial discrepancies surface late ● A new engineer joins and is writing standard, correct code within their first week

● The credit team is never blocked on an engineering dependency 

● Engineering health metrics are tracked and visibly improving 

● AI agents are doing the structured first pass on code reviews, and the system gets smarter over time 

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment. We're seeking an experienced Backend Software Engineer to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic.

Responsibilities:

● Design, develop, and deploy backend systems, including APIs, databases, and server-side logic

● Write clean, efficient, and well-documented code that adheres to industry standards and best practices

● Participate in code reviews and contribute to the improvement of the codebase

● Debug and resolve issues in the existing codebase

● Develop and execute unit tests to ensure high code quality

● Work with DevOps engineers to ensure seamless deployment of software changes

● Monitor application performance, identify bottlenecks, and optimize systems for better scalability and efficiency

● Stay up-to-date with industry trends and emerging technologies; advocate for best practices and new ideas within the team

● Collaborate with cross-functional teams to identify and prioritize project requirements

Requirements:

● At least 4+ years of experience building scalable and reliable backend systems

● Strong expertise in NodeJS/NestJS, Express, PostgreSQL

● Experience with microservices architecture and distributed systems

● Proficiency in database design (SQL and NoSQL)

● Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines

● Deep understanding of design patterns, data structures, and algorithms

● Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes

● Exceptional communication and leadership skills

● Strong understanding of object-oriented programming principles and design patterns

● Familiarity with automated testing frameworks and methodologies

● Excellent problem-solving skills and attention to detail

● Strong communication skills and ability to effectively lead and maintain a collaborative team environmen

● Ready to be a tech-agnostic engineer and comfortable to shift on any tech stack (Java, Node, Python etc)

● Comfortable working with AI (Claude code, Cursor etc)

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

NonStop io is seeking a proficient Java Developer to join our dynamic team. In this role, you will contribute to designing, developing, and maintaining high-quality Java-based applications. You will work closely with cross-functional teams, ensuring the delivery of robust and scalable software solutions.

Responsibilities:

• Develop and Maintain: Write clean, efficient, and maintainable code for Java-based applications
• Collaborate: Work with cross-functional teams to gather requirements and translate them into technical solutions
• Code Reviews: Participate in code reviews to maintain high-quality standards
• Troubleshooting: Debug and resolve application issues in a timely manner
• Testing: Develop and execute unit and integration tests to ensure software reliability
• Optimize: Identify and address performance bottlenecks to enhance application performance

Qualifications & Skills:

• Strong knowledge of Java, Spring Framework (Spring Boot, Spring MVC), and Hibernate/JPA
• Experience with microservices architecture, distributed systems, and complex system design
• Familiarity with RESTful APIs and web services
• Proficiency in working with relational databases like MySQL or PostgreSQL
• Experience with build tools like Maven or Gradle
• Understanding of version control systems, especially Git
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Understanding of AWS environments and cloud-based application deployment
• Experience working with CI/CD pipelines and DevOps practices
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work effectively in a collaborative team environment 

Why Join Us?

• Opportunity to work on cutting-edge technology products
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you

Tech Stack

Frontend: React.js, TypeScript, Next.js, React Native, Redux, GraphQL, Tailwind CSS

Backend & Infra: Java (Spring Boot), Microservices, AWS ECS, Redis, ScyllaDB, MongoDB,

GraphQL, AWS Lambda, MySQL, Aurora

Event Driven & AI: SQS, Kinesis, Claude, Cursor, LangChain

Observability: Prometheus, Grafana, CloudWatch, Sentry

Engineering Excellence: JVM tuning, GC profiling, Circuit Breakers, Async Tracing

We’re hiring an experienced Full Stack Engineer (React + Java) with 5–10 years of

experience to design, build, and scale real-time web applications for our global B2B

hotel marketplace.

You’ll work across the stack—from building intuitive, data-driven UIs to

high-performance backend services that power our distribution engine.

Responsibilities

● Build and maintain end-to-end features spanning React.js frontends and Java

(Spring Boot) microservices and database integrations .

● Develop responsive, performant, and accessible UIs integrated with REST

and GraphQL APIs.

● Design and scale low-latency, high-throughput microservices for real-time

data workflows.

● Implement event-driven systems using Kafka or SQS for asynchronous

communication.

● Collaborate closely with Product, Design, and Architecture teams to translate

business requirements into scalable technical solutions.

● Optimize application performance via caching strategies, async processing,

and database tuning.

● Implement and maintain CI/CD pipelines, test automation, and monitoring

frameworks.

● Leverage AI-assisted tools (Claude, Cursor, etc.) to boost velocity and maintain

code quality.

● Participate in code reviews, design discussions, and architecture decisions.

● Write clean, maintainable code, follow design patterns, maintain high test

coverage, and document key technical decisions.

Requirements

● 6–10 years of full stack development experience with a proven track record in

production systems.

● Strong proficiency in React.js, JavaScript/TypeScript, Redux (or similar state

management) and modern frontend frameworks.

● Solid backend experience with Java, Spring Boot, and Hibernate.

● Database experience with MySQL, MongoDB, or ScyllaDB.

● Hands-on with microservices, AWS (ECS/Lambda), SQS, and GraphQL.

● Familiarity with event-driven architectures and caching layers (Redis) and

asynchronous processing.

● Working knowledge of observability tools (Prometheus, Grafana, CloudWatch,

Sentry).

● Understanding of data structures, algorithms, and system design

fundamentals.

● Passion for clean code, testability, and engineering excellence.

● Strong analytical and communication skills with the ability to collaborate across

Product, Design, and QA teams.

● Comfortable in a remote-first, asynchronous, and ownership-driven culture.

Nice to Have

● Experience with React Native or mobile web frameworks.

● Exposure to Kafka, Kinesis, or other event-streaming platforms.

● Familiarity with CI/CD (GitHub Actions, Docker) and container orchestration

(ECS).

● Experience with AI-assisted development, LLMs, or LangChain pipelines.

● Domain exposure to B2B platforms, travel-tech, or high-scale marketplaces.

● Background in Test-Driven Development (TDD) or Agile methodologies.

Why Join Us?

● Work on mission-critical, high-scale systems used by global hotel brands.

● Build real-time, low-latency products impacting millions of hotel transactions

daily.

● Be part of a remote-first, AI-accelerated engineering culture that values

autonomy and quality.

● Collaborate with senior engineers and architects solving complex distributed

system challenges.

● Competitive compensation with equity participation and career growth

opportunities.

● Learn and work with cutting-edge AI tools—from code generation to

observability automation.

On the Job

● Build and maintain scalable cloud infrastructure on AWS

● Improve CI/CD pipelines, deployment systems, and developer workflows

● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)

● Manage and optimize Kubernetes clusters and containerized workloads

● Improve observability across systems through monitoring, logging, and alerting

● Drive reliability initiatives including incident response, root cause analysis, and operational

improvements

● Collaborate with engineering teams to improve service scalability, performance, and security

● Implement IAM, secrets management, and infrastructure security best practices

● Optimize infrastructure costs and improve resource efficiency

● Actively leverage AI tools and workflows to improve engineering productivity and automation

Must Haves

● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles

● Strong hands-on experience with AWS infrastructure and services

● Good understanding of Kubernetes, Docker, and container orchestration

● Experience with Infrastructure-as-Code tools like Terraform or Pulumi

● Strong scripting/coding skills in Python, Go, or Bash

● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,

etc.)

● Understanding of networking fundamentals, Linux systems, and cloud security practices

● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,

etc.

● Strong debugging and problem-solving skills

● Ability to work independently in a fast-moving environment

Good To Haves

● Experience working in fintech or high-scale startup environments

● Exposure to service mesh, zero-trust security, or secrets management systems

● Experience with multi-cluster Kubernetes environments

● Familiarity with incident management, SLOs, and reliability engineering practices

● Experience building internal developer platforms or automation tooling

Location: Hyderabad / Indore

Experience: 6 - 8+ years

Employment type: Full-time

What we're looking for (must-have):

• 6-8+ years building production software, including a real architecture or principal-engineer chapter where you owned system design end to end.
• Deep MERN expertise — you can architect and go hands-on in Node.js and React without a handoff.
• Strong cloud architecture skills on at least one major provider (AWS / GCP / Azure) — networking, security, scaling, and cost.
• Demonstrated experience designing systems in a regulated or high-stakes domain: healthcare (HIPAA/PHI), payments (PCI-DSS), fintech, or similar.
• The judgment to make irreversible decisions and the communication to bring a team along with you.
• Accountability for the outcome of your architecture in production — not just the diagram.

Nice to have:

• HIPAA / healthcare compliance in production — audit trails, BAA-covered infrastructure, PHI access controls.
• Payment systems experience — Stripe, Braintree, PCI-DSS environments, tokenization, reconciliation.
• Event-driven architecture, microservices, and high-availability system design.
• Experience in a multi-product, consulting, or venture-studio environment where context-switching is the norm.
• An AI-native development practice and opinions on how AI changes architecture and delivery.

The AI Specialist candidate should have the following skills:

Must-have:

• Proficiency in Python and Java
• Experience with LLMs, prompt engineering, and RAG architectures
• Familiarity with AWS cloud platform
• Strong analytical and problem-solving skills
• Ability to communicate complex technical concepts to non-technical stakeholders

Hiring for Lead Python Developer

Exp : 7+ yrs

Edu : BE/B.Tech

Work Location : Bengaluru / Gurugram Hybrid

Skills :

Strong expertise in Python programming. 

Experience with frameworks such as: Django Flask FastAPI 

Strong understanding of: REST APIs Microservices Architecture OOPs Concepts Design Patterns 

Experience with databases: PostgreSQL MySQL MongoDB Redis 

Hands-on experience with: Docker Kubernetes CI/CD Pipelines Git/GitHub/GitLab 

Cloud platform experience: AWS / Azure / GCP 

Knowledge of message brokers: Kafka / RabbitMQ 

Experience with unit testing and automation frameworks. 

Leadership Skills Strong team handling and mentoring experience. 

Ability to drive technical discussions and architecture decisions. 

Excellent stakeholder management and communication skills. 

Experience managing Agile/Scrum teams. 

Preferred Qualifications Bachelor’s/Master’s degree in Computer Science or related field.

 Experience in large-scale enterprise applications.

Exposure to AI/ML integrations is an added advantage. Certifications in cloud or Python technologies are preferred.

We are looking for a hands-on Data Engineer to help build and manage our data platform for reporting, analytics, and future data science use cases.

The role will involve working with SQL, Python, PySpark, AWS, ETL/ELT pipelines, data warehouses, and BI/reporting tools. Our architecture may use technologies such as ClickHouse, Redshift, AWS Glue, Airflow, Step Functions, Lambda, S3, and CDC-based replication tools based on scale, cost, and operational needs.

Key Responsibilities

·     Design, build, and maintain scalable ETL/ELT data pipelines from multiple databases, applications, and external systems.

·     Build raw, cleaned, and business-ready data layers to support reporting, analytics, and future data science use cases.

·     Write efficient SQL, Python, and PySpark jobs for data ingestion, transformation, validation, and processing.

·     Implement workflow orchestration using Apache Airflow, AWS Glue, Step Functions, or similar tools.

·     Work with data warehouses such as ClickHouse, Redshift, Snowflake, BigQuery, or similar.

·     Support cross-service reporting as the architecture moves towards independent microservice databases.

·     Build reusable reporting tables, aggregates, summaries, and basic data marts.

·     Monitor, troubleshoot, and optimize data pipelines, warehouse queries, and processing jobs.

·     Implement data quality checks for freshness, completeness, consistency, duplicates, and reconciliation.

·     Support BI/reporting needs through tools such as Power BI, Metabase, Superset, Redash, or similar.

·     Apply data governance, access control, security, and PII-handling best practices.

·     Collaborate with engineering, DevOps, product, business, finance, risk, and support teams.

Required Skills

·     Strong expertise in SQL for joins, aggregations, window functions, query optimization, and analytical reporting.

·     Hands-on experience with Python for data processing, automation, validation, and scripting.

·     Working experience with PySpark / Apache Spark for processing large datasets.

·     Good understanding of ETL/ELT pipelines, data warehousing, and data modelling concepts.

·     Experience with workflow orchestration using Apache Airflow, AWS Step Functions, AWS Glue, or similar tools.

·     Experience with AWS data services such as S3, Glue, Lambda, Step Functions, Redshift, DMS, CloudWatch, or similar.

·     Experience with any data warehouse such as ClickHouse, Redshift, Snowflake, BigQuery, or similar.

·     Understanding of relational databases, preferably PostgreSQL.

·     Ability to debug data mismatches, failed pipelines, slow queries, and data quality issues.

·     Exposure to BI tools such as Power BI, Metabase, Superset, Redash, or similar.

Good ownership, problem-solving, communication, and collaboration skills.

About the company

The client is the home base for hardware engineers. They give the teams building robots, rockets, medical devices, and the next generation of physical products a single place to move fast without breaking things, turning CAD chaos into a system of record engineers actually love to work in. We're profitable, post-Series A, and growing our Hyderabad engineering team.

About the role

We're looking for a tech lead to set the technical direction for a growing team and raise the bar for everyone around them. This is a hands-on leadership role: you'll still write production code, but your largest impact comes through architecture, mentorship, and the standards you instill. You own outcomes for a team, not just your own commits. 

What you'll do

• Lead the technical direction of a team building across our TypeScript/React + Node.js + AWS stack
• Drive architecture decisions, document tradeoffs, and align the team on a clear technical path Mentor engineers through code review, pairing, and guidance, growing them toward strong production ownership
• Set and uphold standards for code quality, testing, and operational rigor
• Stay hands-on: write production code on the highest-leverage and hardest problems
• Partner with product and leadership to scope work, manage technical risk, and deliver predictably
• Be accountable for the reliability and maturity of the systems your team owns in production

What we're looking for

• Demonstrated technical leadership: you've set direction for a team and elevated those around you
• Strong full-stack proficiency in TypeScript, React, and Node.js, plus solid AWS depth
• A track record of shipping to production and owning systems in operation, and of holding a team to that same standard
• Strong architectural judgment: you decompose ambiguous problems, weigh tradeoffs, and make decisions others can build on
• Excellent communication: you keep your team aligned and stakeholders informed, and you surface risk early
• Comfort leading in a fast-paced, high-ownership early-stage environment 

Why choose us?

• The teams building advanced hardware and the robots, machines, and devices shaping the future run
• Direct access to founders; you'll help shape product and engineering direction, not just execute tickets
• Fast feedback loops: what you build is in front of customers in days, not quarters
• Profitable at Series A, so you get startup upside without the constant fundraising-survival anxiety
• Competitive compensation and meaningful equity
• Bi-yearly appraisal cycles
• Upto 20% Bonus based on performance
• Monthly Swiggy vouchers
• Flexibility with work hours

About the client

The client is the home base for hardware engineers. They give the teams building robots, rockets, medical devices, and the next generation of physical products a single place to move fast without breaking things, turning CAD chaos into a system of record engineers actually love to work in. They are profitable, post-Series A, and growing the Hyderabad engineering team.

About the role

We're looking for a senior full-stack engineer to own significant pieces of our platform end-to-end, from React frontends to Node services on AWS. You'll ship production features, make sound technical decisions, and set a high bar for quality through your own work.

What you'll do

• Design, build, and ship full-stack features across our TypeScript/React frontend and Node.js backend on AWS
• Own systems end-to-end, from implementation through deployment, monitoring, and production hardening
• Write clean, well-tested code and contribute to a strong engineering culture through thorough code review
• Make pragmatic architecture and design decisions, weighing tradeoffs in an ambiguous, fast-moving environment
• Tackle hard problems across data processing, file workflows, and distributed systems at scale
• Collaborate closely with product and the rest of engineering to scope and deliver reliably

What we're looking for

• Strong full-stack proficiency in TypeScript, React, and Node.js
• Solid, practical experience with AWS A track record of shipping features all the way to production and owning them in operation, not just to "done on my machine"
• Good design judgment: you can decompose problems and choose pragmatic solutions
• Proactive, clear communication; you surface blockers early and keep stakeholders informed
• Comfort with the fast pace, breadth, and high ownership of an early-stage environment Build hardware faster. better. together. ·

Why choose us?

• The teams building advanced hardware and the robots, machines, and devices shaping the future run
• Direct access to founders; you'll help shape product and engineering direction, not just execute tickets
• Fast feedback loops: what you build is in front of customers in days, not quarters
• Profitable at Series A, so you get startup upside without the constant fundraising-survival anxiety
• Competitive compensation and meaningful equity
• Bi-yearly appraisal cycles
• Upto 20% Bonus based on performance
• Monthly Swiggy vouchers
• Flexibility with work hours

SENIOR PLATFORM ENGINEER

LOCATION: BENGALURU

It is a leading global sports activity platform with over 5 million

users across 5 countries, that connects players, venues, trainers, and

brands in one full stack ecosystem across 50+ sports. We operate at

the intersection of consumer technology, social networking,

marketplaces & real-world logistics and are building a scalable, multi-

vertical sports-tech venture with a focus on long-term sustainability

and global dominance.

Senior Platform Engineer

The Opportunity: This is a high-ownership, foundational role. You will set the direction for how we

run our systems — incident response, reliability, security, quality and cost — and build the systems

and practices.

Roles and Responsibilities:

● Infrastructure: Be the accountable owner of our Cloud Infra across AWS and GCP —

including ECS, RDS, ElastiCache, networking (VPC), and IAM services

● Observability & SLOs: Define SLIs/SLOs and error budgets and build the metrics, logs, tracing,

and alerting that catch problems before customers do.

● Reliability engineering: Incident management & on-call. Own end to end incident process —

severity levels, paging, an incident bridge, and act as incident commander.

● Cost/FinOps: Own cloud cost — right-sizing, commitments (Savings Plans / RIs), cost-

allocation tagging, and resource lifecycle — balancing efficiency against performance.

● Security: Drive security best practice — least-privilege IAM, MFA/SSO, secrets management

www.playo.co

and rotation, network segmentation, detective controls, and encryption.

Requirements:

● 4 - 6 years experience with end-to-end ownership of production including platform,

infrastructure and SRE responsibilities

● Hands-on depth across AWS - compute, data stores, networking, and IAM, and fluency with

the AWS Well-Architected Framework and its trade-offs.

● Deep observability understanding — SLIs/SLOs/error budgets, metrics/logs/traces, and

alerting that pages on real user-facing symptoms

● Passion for sports and fitness

● Excitement about working in a fast-paced startup environment

Procedure Technologies is hiring for Drover.

Drover is pioneering a precise, cost-effective, and humane virtual fencing solution for livestock management that leverages Electrical Muscle Stimulation (EMS) instead of traditional electric shocks. This enables cattle herding and monitoring through painless muscle cues, providing control without additional fencing.

The system is designed for easy deployment, operates without expensive base stations, and transmits health and location data directly to a cloud backend and mobile app. It offers farmers a streamlined and scalable tool to manage their herds efficiently. This is a key building block to enabling regenerative grazing, a practice that can decrease cattle's carbon footprint by up to 35%.

We are building at the intersection of Climate and AI, and that’s where you come in.

How will you help us achieve it?

As a Mobile Engineer, you will collaborate with the company founders, product team, and API engineers to develop a mobile application to help manage and monitor herds efficiently. You will ideate, design, implement, and maintain the product's mobile app. You will also design the UX and develop the application's front-end interfaces.

In your day-to-day, you will:

• Partner with our product team and farming partners to understand their work so you can build an app that meets their requirements.
• Maintain a high bar of engineering and coding standards.

Key Details

• You can work remotely from anywhere with an overlap of at least four hours with the product team (6 pm to 10 pm IST)
• This role involves participating in calls with US-based stakeholders.
• The compensation comes with a salary and an equity component.

You’ll thrive if you

• Don’t just complete tickets that are assigned to you; think deeply about the product and how you can make it great, then put that into action.
• Enjoy developing 0-1 software products iteratively.
• Are pragmatic and understand trade-offs in software engineering.
• Care about your craft and the mission of the software you are developing.

Requirements

• 4+ years of experience in building mobile apps using React Native.
• Are proficient in the Typescript ecosystem, including monorepos.
• Have a thorough understanding of the interface guidelines for Apple and Android apps.
• Have submitted apps on the App Store and the Play Store.
• Ability to debug and optimize complex systems.
• Excellent communication and collaboration skills.

Bonus points if you have

• Familiarity with our mapping libraries in React Native or Native frameworks.
• Have an understanding of the native iOS and Android ecosystems.
• A good knowledge of UX best practices for SaaS based interfaces & AI.
• Contributed to open-source projects.

Your First Six Months

• You will build a mobile app that will allow farmers to see their farm map with multiple layers and annotations.
• You will be working with various aspects of the map feature.
• Create virtual polygons to plot the region for their farms on the map.
• Annotate the polygons with points of interest.
• Generate heat maps of the farm livestock activity.
• You will integrate with APIs to let farmers view their livestock on the map.

About engineering at Drover

We value:

• High ownership and fast iteration.
• Deep understanding of our tools and systems.
• Continuous improvement, both technically and interpersonal.

Our technology stack:

• Mobile: React Native with TypeScript, React Query, Jest, NativeWind, Sentry.
• NX Monorepo
• API: Express (Koa)
• Infrastructure: AWS, EKS, RDS (Postgres)

Our team

• The Company is funded by Workshop Ventures Partners, a US-based venture studio focused on building great companies in Climate Tech.
• The team consists of the Drover co-founders, Callum Taylor and Sam Aubin, along with founding members from the Workshop Ventures team.

Interview Process:

• Screening: Review of your open source contributions and past projects.
• First Round of Technical Evaluation: Assessing your problem-solving and AI integration skills.
• Technical Evaluation + Cultural Fit: Understanding your alignment with our team.

Position Responsibilities :

Deltek ComputerEase is a cloud-hosted construction ERP serving specialty, general, and service contractors across North America. The platform is delivered as a managed SaaS service on AWS, with every customer session running through a Citrix Virtual Apps environment that our team owns end-to-end. 

We are looking for a Senior DevOps Engineer with deep Citrix expertise to own the delivery, automation, and operational reliability of this platform. This is a senior individual-contributor role for an engineer who can operate independently, set technical direction, and act as the go-to authority for Citrix on the team. You'll keep a multi-tenant production environment running reliably, drive architectural improvements, and raise the bar for how the team automates and operates its infrastructure. 

Deltek is an AI-first company. That means AI is not a side project — it is embedded in how we build, operate, and deliver our products. On this team, you'll use AI-assisted tooling as a standard part of how infrastructure is designed, code is written, incidents are diagnosed, and runbooks are maintained. We expect every engineer to be fluent in AI-assisted workflows and to actively look for opportunities to apply them. 

Qualifications :

Citrix Infrastructure (Primary Focus) 

1. Manage the full Citrix Virtual Apps stack in production: ADC/NetScaler (HA pairs), StoreFront, Delivery Controllers, Virtual Delivery Agents (VDAs), and Citrix Director 
2. Own ADC/NetScaler configuration: Unified Gateway, nFactor multi-factor authentication, ICA proxy, SSL certificate lifecycle, load balancing, and session policies 
3. Manage Machine Catalog and Delivery Group lifecycle using Machine Creation Services (MCS) on AWS, including golden image build and update workflows 
4. Administer StoreFront server groups: upgrades, propagation, subscription sync, and availability 
5. Manage user profile solutions using FSx with cloud file storage; troubleshoot profile issues, slow logons, and session reliability 
6. Own Citrix licensing: maintain license server health and manage the transition to License Activation Service (LAS) 
7. Monitor session health and performance via Citrix Director; serve as the escalation point for Citrix incidents 

Technical Leadership 

• Act as the team's subject-matter authority on Citrix — the person others escalate to for the hardest delivery and session problems 
• Set technical direction for the Citrix and AWS infrastructure: evaluate options, make architectural recommendations, and drive them to implementation 
• Mentor other engineers, review their work, and raise the team's overall capability in Citrix, AWS, and automation 
• Lead post-incident reviews and drive systemic fixes that prevent recurrence rather than one-off patches 
• Influence roadmap and prioritization for infrastructure work in partnership with engineering leadership 
• 8+ years of hands-on Citrix Virtual Apps and Desktops (CVAD) administration in a production environment, including ownership of a production estate at scale 
• 8+ years of AWS infrastructure experience: EC2, RDS, VPC design, Security Groups, IAM, SSM Parameter Store, Secrets Manager 
• Track record of operating independently and owning infrastructure decisions end-to-end with minimal oversight 
• Experience mentoring engineers and influencing technical direction across a team.

Location : Bangalore Remote.

Job Title : Software Development Engineer in Test (SDET)

Experience : 2 to 5 Years

Location : Bangalore

Working Days : 5 Days/Week

Notice Period : Immediate to 15 Days

Interview Process : 1 Internal Round + 2 Client Rounds

Job Summary :

We are looking for a skilled Software Development Engineer in Test (SDET) with strong expertise in Java-based automation testing. The ideal candidate should have hands-on experience in automation frameworks, API testing, debugging, SQL, and cloud technologies while ensuring the delivery of high-quality software applications.

Mandatory Skills :

Java, Selenium, Appium, API Testing, SQL, AWS, Debugging, Cache Memory Concepts (Python is a Plus).

Key Responsibilities :

• Design, develop, and maintain automated test scripts using Java and Selenium/Appium.
• Perform API testing and validate backend services.
• Write and execute SQL queries for data validation and testing.
• Debug application issues and collaborate with development teams to resolve defects.
• Work with AWS environments for testing and deployment validation.
• Validate application performance involving cache memory mechanisms.
• Contribute to improving test automation frameworks and CI/CD processes.

Required Skills :

• Strong proficiency in Java (Mandatory).
• Hands-on experience with Selenium and Appium.
• Strong knowledge of API Testing.
• Good understanding of SQL.
• Experience with AWS.
• Excellent debugging and troubleshooting skills.
• Understanding of cache memory/caching concepts.
• Python knowledge is an added advantage.

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

NonStop io is seeking a proficient .NET Developer to join our growing team. You will be responsible for developing, enhancing, and maintaining scalable applications using .NET technologies. This role involves working on a healthcare-focused product and requires strong problem-solving skills, attention to detail, and a passion for software development.

Responsibilities

• Design, develop, and maintain applications using .NET Core/.NET Framework, C#, and related technologies
• Write clean, scalable, and efficient code while following best practices
• Develop and optimize APIs and microservices
• Work with SQL Server and other databases to ensure high performance and reliability
• Collaborate with cross-functional teams, including UI/UX designers, QA, and DevOps
• Participate in code reviews and provide constructive feedback
• Troubleshoot, debug, and enhance existing applications
• Ensure compliance with security and performance standards, especially for healthcare-related applications

Qualifications & Skills

• Strong experience in .NET Core/.NET Framework and C#
• Proficiency in building RESTful APIs and microservices architecture
• Experience with Entity Framework, LINQ, and SQL Server
• Familiarity with front-end technologies like React, Angular, or Blazor is a plus
• Knowledge of cloud services (Azure/AWS) is a plus
• Experience with version control (Git) and CI/CD pipelines
• Strong understanding of object-oriented programming (OOP) and design patterns
• Prior experience in healthcare tech or working with HIPAA-compliant systems is a plus
• Ready to be a tech-agnostic engineer and comfortable to shift on any tech stack (Java, Node, Python etc)
• Comfortable working with AI (Claude code, Cursor etc)

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethics and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

Job Description

We are looking for a hands-on Technical Lead Engineer (Full Stack) to spearhead the design, development, and delivery of our scalable web platforms and core application ecosystems. In this role, you will bridge the gap between front-end experiences and robust back-end systems. You will lead an agile development team through technical architecture, feature implementation, integration, testing, deployment, and production support.

The ideal candidate has deep technical expertise in both frontend and backend modern frameworks, a passion for system design, and practical experience building secure, scalable, and high-performance distributed web applications.

Key Responsibilities

• Technical Leadership: Lead end-to-end full-stack software development, architectural design, and system evolution.
• Backend Architecture: Design scalable, fault-tolerant backend architectures, optimizing high-volume data ingestion pipelines and processing engines.
• Frontend Excellence: Direct the development of highly responsive, intuitive, and modular user interfaces that ensure a seamless user experience.
• API & Integrations: Architect secure RESTful APIs and integrate external enterprise platforms, third-party microservices, and identity providers.
• Team Mentorship: Mentor developers, run strict code reviews, define engineering best practices, and guide sprint-level execution.
• Data & Messaging: Maintain and optimize relational, NoSQL, and time-series databases alongside message queues for real-time application events.
• Production Ownership: Own technical troubleshooting for live production bottlenecks, system latency issues, and deployment bugs.
• Documentation: Create clean technical documentation, structural architecture diagrams, and system deployment guidelines.

Required Skills

• Experience: 6+ years of software development experience with at least 2+ years leading engineering teams or owning technical delivery.
• Backend Core: Advanced hands-on experience with Java, Spring Boot, Spring Cloud, multithreading, and REST API development.
• Frontend Core: Mastery of modern JavaScript/TypeScript frameworks (such as React, Angular, or Vue.js), HTML5, and responsive CSS architectures.
• Data Platforms: Proficient with relational databases (MySQL, PostgreSQL) and NoSQL/Caching systems (Redis, MongoDB).
• Messaging Systems: Experience implementing asynchronous workflows using message brokers like Kafka or RabbitMQ.
• Design Patterns: Strong grasp of microservices patterns, distributed system caching, load balancing, and failover mechanisms.

Preferred / Nice-to-Have Skills

• Experience deploying workloads to Cloud environments (AWS, Azure, or GCP).
• Familiarity with containerization tools like Docker and orchestration via Kubernetes.
• Hands-on experience setting up continuous integration and automated deployment pipelines (CI/CD).
• Exposure to system observability tools (Prometheus, Grafana, ELK stack).

Education Requirement

• Bachelor's degree in Computer Science, IT, Electronics, Electrical Engineering, or a related field. Candidates with equivalent exceptional hands-on full-stack engineering experience will be highly considered regardless of formal degree background.

We are seeking a seasoned AWS Sales professional to drive enterprise cloud revenue growth, manage strategic customer relationships, and lead large-scale cloud transformation engagements. The role demands strong experience in solution selling and a proven ability to close complex enterprise deals in cloud services.

Key Responsibilities:

• Drive end-to-end sales of Amazon Web Services solutions across enterprise and mid-market customers
• Own revenue targets and consistently achieve/exceed sales quotas
• Identify, qualify, and close large-scale cloud transformation opportunities
• Build and maintain CXO-level relationships across enterprise accounts (CIO, CTO, CDO)
• Lead complex sales cycles including RFPs, proposals, negotiations, and closures
• Collaborate with AWS solution architects and internal technical teams for solution design
• Develop territory plans, account strategies, and pipeline growth initiatives
• Drive adoption across AWS cloud services including compute, storage, networking, security, analytics, and AI/ML
• Work closely with SI/ISV/partner ecosystem for co-selling opportunities
• Monitor industry trends and competitive cloud landscape

Required Skills & Qualifications:

• 10+ years of experience in IT / enterprise technology sales with strong cloud sales exposure
• Prior experience working with AWS or certification in AWS Sales / AWS Partner Network / AWS Partner programs
• Proven track record in selling cloud or infrastructure solutions (AWS / Azure / GCP preferred)
• Strong understanding of cloud architecture, migration strategies, and digital transformation initiatives
• Experience handling large enterprise accounts and complex, multi-stakeholder sales cycles
• Excellent negotiation, communication, and stakeholder management skills
• Strong consultative selling and solution-based sales approach
• Experience working with channel partners, SI partners, and managed service providers

Good to have:

• AWS certifications such as AWS Cloud Practitioner, Solutions Architect, or AWS Sales Accreditation
• Exposure to BFSI, Manufacturing, Retail, Healthcare, or Technology enterprise accounts
• Proven experience in multi-million-dollar deal closures

Key Attributes:

• Strong business acumen and strategic thinking
• Highly target-driven with execution excellence
• Ability to influence senior stakeholders and CXOs
• Self-driven with strong ownership mindset

Tech Lead

Full Stack, Architecture & Client Delivery

📍 Mumbai (On-site) | Full-time | 5-6 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Tech Lead who will own the technical direction of full stack engagements, lead a small pod of engineers, and represent Unico Connect directly in front of customers.

The mandatory requirement for this role is hands-on production experience as a senior or lead engineer building full stack web applications with React on the frontend and either Node.js or Python on the backend.

The role is hands-on.

Expect to spend meaningful time on architecture, complex implementation, and code reviews, while also driving delivery, mentoring a pod of 3 to 6 engineers, running client conversations, and contributing to solutioning on new opportunities.

A typical week includes a design review on a new module, a working session with a client product owner, paired implementation on a complex flow, and pre-sales input on an active opportunity.

Responsibilities:

Solutioning and Architecture

Own end-to-end architecture for client engagements: system design, API contracts, data models, integrations, deployment topology, and trade-off analysis.

Document and defend decisions in writing and in client reviews.

Hands-on Full Stack Delivery

Lead by example on complex modules, performance-critical paths, and high-risk areas of the system using React (with Next.js where relevant) and Node.js (Express, NestJS) or Python (FastAPI, Django, Flask).

Database Design and Performance

Drive PostgreSQL schema design, indexing strategy, query optimisation, migrations, and capacity planning.

Set the standard for data modelling across the pod.

Cloud and Infrastructure

Set up and operate production workloads on AWS, GCP, or Azure.

Make and own decisions on compute, storage, networking, CI/CD pipelines, observability, and cost.

Code Quality and Engineering Standards

Run code reviews, define engineering conventions, and raise the quality bar across the team.

Set the standard for testing, linting, branching, release management, and incident response.

Team Leadership and Mentorship

Lead, mentor, and grow a pod of 3 to 6 engineers.

Plan sprints, unblock the team, run retros, and own delivery commitments.

Client Engagement

Act as the primary technical point of contact for the client.

Run technical discussions, present trade-offs, manage scope and risks, and keep stakeholders informed in writing.

Pre-Sales and Solutioning

Partner with sales and account leadership on new opportunities, including discovery calls, effort estimation, architecture diagrams, and solution write-ups.

AI-Assisted Development

Use Claude, Cursor, and similar tools day to day.

Set the standard for the team on prompts, patterns, AI-assisted code review, and where these tools are and are not appropriate.

AI Feature Delivery

Where an engagement calls for it, design and ship LLM-based features into production, including prompt design, retrieval pipelines, evaluation, observability, and guardrails.

Requirements:

Hands-on Full Stack Production Experience as a Senior or Lead Engineer (Mandatory)

Must have personally built and shipped production web applications using React on the frontend and either Node.js or Python on the backend.

POCs, internal tools, and coursework do not qualify.

5 to 6 Years of Professional Software Engineering Experience

Including at least 1 to 2 years in a tech lead, team lead, or senior engineering role with direct responsibility for technical decisions and team output.

Hands-on Cloud Experience on at Least One of AWS, GCP, or Azure

Including deploying and operating production workloads.

Comfort with at least three of: EC2 or equivalent compute, S3 or equivalent object storage, Lambda or serverless functions, RDS or managed databases, CloudFront or equivalent CDN, IAM, VPC.

Strong Proficiency in JavaScript and TypeScript

With React and Next.js (SSR, SSG, app router) on the frontend, and either Node.js (Express, NestJS) or Python (FastAPI, Django, Flask) on the backend.

API design experience across REST and GraphQL.

Willingness and demonstrated ability to pick up the other backend stack as engagements demand.

Production Experience with Docker, Git-Based Workflows, and CI/CD Pipelines

(GitHub Actions, GitLab CI, CircleCI, or equivalent).

Strong PostgreSQL Skills

Schema design, normalisation, indexing, query performance, migrations, and at least one production system where you owned the data model end-to-end.

Caching and Event-Driven Architecture

Hands-on with Redis (or equivalent) for caching and session management, and message queues or event-driven patterns (RabbitMQ, SQS, Kafka, or NATS) for asynchronous workflows.

AI and LLM Feature Delivery in Production

Experience designing and shipping at least one AI feature to production, covering prompt design, retrieval-augmented generation (RAG), embeddings, evaluation, observability, and guardrails.

POCs and demos do not qualify.

System Design Depth and End-to-End Ownership

Able to take an ambiguous problem, break it into components, evaluate alternatives, produce an architecture that holds up under review and load, plan execution, and ship to production with limited supervision.

Excellent Written and Spoken English

Experience working directly with international clients.

Confident, clear, and firm in stakeholder communication.

Comfortable presenting to senior stakeholders, pushing back where needed, and managing expectations across time zones.

We are looking for an experienced SDE-3 Backend Engineer (Node.js) to lead the backend engineering pod responsible for third-party integrations, observability, and engineering support.

The role requires someone who is technically strong in Node.js, TypeScript, databases, and backend system design, and who can remain hands-on while guiding engineers and working closely with internal teams and external partners.

Key Responsibilities

• Own delivery, quality, and production stability for third-party
• integrations, observability, and engineering support.
• Own technical design, architecture decisions, code reviews, and delivery quality for services owned by the pod.
• Drive strong engineering practices across design reviews, code reviews, testing, documentation, release discipline, and operational readiness.
• Design, build, and maintain scalable backend services and APIs using Node.js and TypeScript.
• Own integrations with banks, payment partners, fintech partners, and other external systems.
• Ensure partner integrations are reliable, secure, well-documented, and easy to support.
• Build monitoring, alerting, dashboards, and visibility across critical services and partner workflows.
• Create and maintain runbooks, SOPs, dashboards, and troubleshooting guides for critical services and partner workflows.
• Drive timely resolution of production issues, partner issues, and internal escalations.
• Perform RCA for incidents and ensure long-term fixes are implemented.
• Mentor junior engineers and improve engineering practices within the pod.

• Strong hands-on experience in Node.js and TypeScript backend development.
• Strong database skills, including schema design, query optimization, indexing, transactions, and performance tuning.
• Strong understanding of building scalable, performant, resilient, and fault-tolerant backend systems.
• Experience with third-party integrations, webhooks, callbacks, retries, timeouts, and error handling.
• Strong debugging and production issue resolution skills.
• Experience with logging, monitoring, alerting, dashboards, and observability tools is preferred.
• Good understanding of secure API design, authentication, authorization, and data protection.
• Exposure to AWS, Docker, Kubernetes, CI/CD, Grafana, Prometheus, ELK, or similar tools.
• Ability to guide and mentor engineers while remaining hands-on.
• Ability to drive delivery, manage technical execution, and ensure quality within the pod.
• Strong communication skills for working with internal teams and external stakeholders.

We're looking for a FinOps Engineer with a DevOps backbone who has an almost

obsessive eye for cost leaks, idle resources, and inefficiencies across our platform. If unused

EBS volumes, oversized instances, or a forgotten dev environment running on weekends

genuinely bother you — you'll fit right in.

This isn't a passive reporting role. You'll be expected to proactively hunt for waste,

propose optimizations, and drive strategic cost conversations with engineering, SRE,

and leadership across Zoop's entire platform — from infrastructure and Kubernetes clusters

to data pipelines and third-party services.

What You'll Own

●​ Continuously audit Zoop's cloud footprint (AWS/Azure/GCP) end-to-end —

compute, storage, networking, databases, observability stack, and SaaS tooling

— and flag every form of waste, big or small.

●​ Proactively propose cost-reduction strategies rather than waiting to be asked

— bring data, options, trade-offs, and a recommendation to the table.

●​ Lead monthly/quarterly cost reviews with engineering and product leadership;

turn billing data into actionable conversations.

●​ Build cost visibility dashboards and chargeback/showback models so every team

at Zoop knows what they're spending and why.

●​ Drive rightsizing, autoscaling tuning, Spot/Reserved Instance/Savings Plan

strategies, and storage tiering across the platform.

●​ Embed cost guardrails into CI/CD pipelines, IaC (Terraform/CloudFormation), and

Kubernetes manifests — catch wasteful resources before they're deployed.

●​ Optimize Kubernetes cost efficiency using tools like Kubecost, OpenCost, or

Karpenter; tune requests/limits, HPA/VPA, and node pools.

●​ Set up automated alerts and anomaly detection for budget breaches, idle

resources, and runaway costs.

●​ Partner with Finance for forecasting, unit economics (cost per user/transaction),

and cloud budget planning.

●​ Evangelize a cost-aware engineering culture — run internal sessions, write

playbooks, and make FinOps a shared responsibility, not a finance afterthought.

Who You Are

●​ Someone with genuine OCD around cost and wastage — you can't sleep

knowing a non-prod cluster ran all weekend at full capacity.

●​ A DevOps practitioner first, who understands why costs happen at the

infrastructure level — not just someone reading billing reports.

●​ Naturally proactive — you don't wait for tickets; you spot patterns, dig in, and

propose changes before anyone asks.

●​ Comfortable challenging engineering decisions diplomatically when they're

expensive, and equally comfortable defending necessary spend to finance.

●​ A clear communicator who can talk to both a senior engineer about Karpenter

configs and a CFO about quarterly burn.

Required Qualifications

●​ 3+ years of hands-on experience in DevOps, Cloud Engineering, SRE, or Cloud

FinOps roles.

●​ Strong working knowledge of at least one major cloud provider (AWS preferred), including native cost tools (Cost Explorer, CUR, Azure Cost Management, or GCP Billing).

●​ Proficiency with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).

●​ Hands-on experience with Docker and Kubernetes (EKS/AKS/GKE).

●​ Scripting in Python, Bash, or Go for automation, reporting, and cost tooling.

●​ Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, ArgoCD).

●​ Solid grasp of cloud pricing models — On-Demand, Reserved Instances, Savings

Plans, Spot/Preemptible, committed-use discounts.

●​ SQL skills for querying billing data (AWS CUR via Athena/Redshift, BigQuery

billing exports).

Nice to Have

●​ FinOps Certified Practitioner (FOCP) certification.

●​ Cloud certifications (AWS, Azure, or GCP).

●​ Experience with FinOps platforms (CloudHealth, Cloudability/Apptio, Spot.io,

Vantage, Kubecost).

●​ Exposure to multi-cloud or hybrid-cloud cost optimization.

●​ Understanding of SaaS unit economics (cost per customer, cost per transaction,

gross margin impact).

Job Description:

1. Develop, and maintain Java applications using Core Java, Spring framework, JDBC, and threading concepts.
2. Strong understanding of the Spring framework and its various modules.
3. Experience with JDBC for database connectivity and manipulation
4. Utilize database management systems to store and retrieve data efficiently.
5. Proficiency in Core Java8 and thorough understanding of threading concepts and concurrent programming.
6. Experience in in working with relational and nosql databases.
7. Basic understanding of cloud platforms such as Azure and GCP and gain experience on DevOps practices is added advantage.
8. Knowledge of containerization technologies (e.g., Docker, Kubernetes)
9. Perform debugging and troubleshooting of applications using log analysis techniques.
10. Understand multi-service flow and integration between components.
11. Handle large-scale data processing tasks efficiently and effectively.
12. Hands on experience using Spark is an added advantage.
13. Good problem-solving and analytical abilities.
14. Collaborate with cross-functional teams to identify and solve complex technical problems.
15. Knowledge of Agile methodologies such as Scrum or Kanban
16. Stay updated with the latest technologies and industry trends to improve development processes continuously and methodologies.

Role : .NET Developer Location – Gurgaon Key Responsibilities What role will you play? In this role, you will collaborate with stakeholders and analysts to define requirements, while working closely with the team on development, testing, and deployment activities. You will support production operations, engage directly with users, and help maintain system stability, using this experience as a key learning opportunity. You will also deliver high-quality platform enhancements, build strong relationships with technical and non-technical stakeholders, and act as a subject matter expert to ensure best practices and professional standards are consistently upheld. • 9–14 years of hands-on experience in C# and .NET full-stack development • Strong extensive experience in financial markets and low-latency, multithreaded systems • Solid expertise in SQL and database design and optimization • Proven experience leading small development teams • Familiarity with message-based integration, including protocols such as FIX • Actively learn and apply financial domain knowledge • for this role we are specifically looking for candidates with strong domain expertise as well. • This is a Front Office Trading Engineering role, so it’s important that the candidate understands key business concepts and nuances, such as sell-side vs buy-side, equities vs derivatives, and instruments like futures, options, and swaps. • Ability to work in an agile environment and handle end-to-end development responsibilities Required Skills & Experience • 3–10 years of professional experience in .NET development • Strong hands-on experience with C#, ASP.NET, and .NET Core • Excellent understanding of data structures, algorithms, and problem-solving techniques • Experience and strong interest in algorithm-driven or computation-intensive applications • Excellent communication skills, with the ability to bridge business language and technical implementation • Proven ability to learn quickly and work effectively in a highly collaborative environment • Strong inclination to work within the financial services domain; experience with repo products, secured funding, or lending is highly regarded

As a DBA Director, you will co-lead our global DBA teams specializing in operational support of such platforms as Oracle, MSSQL, Postgres, MongoDB, Snowflake, and Databricks. As a critical requirement of this position, you will partner across all business units to assist with functional design, validation, and deployment of database solutions and technologies. The DBA Director will also partner closely with the other pillars of the IT organization to create secure automation of manual processes while also ensuring better stability and scalability of our backend database systems and associated processes. This role requires an experienced technically minded leader that is looking to evolve and improve internal teams through continuous skill-building and facilitating camaraderie. This role requires deep technical knowledge of database technologies, processes, as well as knowledge and awareness of DB platforms leveraged by critical systems. The person will report to the Vice President of Enterprise Tools and Middleware.

Responsibilties

• Assist with management of teams consisting of technology professionals who engineer and globally support data services and platforms.
• Participate in continuous improvement and promote team evolution and direction.
• Partner with VP of Enterprise Tools and Middleware to formulate planning and execution designed to create better automation, stability, and enhanced performance of our database platforms.
• Collaborate on a budgetary level by ensuring the organization meets all budget goals in the areas of payrolls and licensing spend.
• Facilitate and create an escalation point for high-severity tickets.
• Create and ensure 24/7 on-call rotations within teams.
• Collaborate with operational stakeholders, including defining requirements, suggesting alternatives, and setting priorities with the team.
• Provide strategic thought leadership and technical guidance across the IT organization support team.
• Be a trusted advisor in both technical and functional areas.
• Build relationships and partner with business stakeholders to understand departmental needs.

Qualifications

• Experienced professional with over 15 years of applicable database support and engineering experience.
• Track record of successfully leading global multi-team organizations.
• Verifiable people management and team building experience.
• Manage and prioritize team leaders as well as team workloads to deliver on committed projects, initiatives, and tickets.
• Demonstrated understanding of ITIL and ITSM; ITSM methodology pertaining to managing incidents, change requirements, and overall reducing risk.
• Proven experience and ability to proactively solve problems and implement solutions to continuously improve.
• Ability to recruit, train and retain high quality talent.
• Proven track record of building strong relationships.
• Experience deploying, optimizing, and supporting DBA processes and platforms.
• Carries a value-driven focus for continual improvement.

Senior Platform & Site Reliability Engineer

Location: Remote Employment Type: Contract

The Role

This role carries full architectural and operational ownership of the platform layer across a growing SaaS portfolio. The Cloud Architect owns AWS infrastructure standards — VPCs, account structures, networking, and compute design. Everything outside that lane is yours: the CI/CD platform, the observability and reliability stack, the event streaming infrastructure, the deployment pipelines, and the incident engineering model.

Architectural decisions are yours to make and defend, standards are yours to define and enforce, and the reliability of 20+ enterprise SaaS products depends on what you and your team build.

This is an AI-native engineering organisation. Where it is practical and safe to do so, you are expected to use automation and AI-assisted tooling to reduce toil — in CI/CD triage, infrastructure provisioning, observability workflows, and acquisition onboarding. The expectation is not to replace engineering judgement with automation, but to free it up for the problems that genuinely require it.

The Scale You Will Operate At

The portfolio consists of 20+ live, enterprise-grade SaaS solutions running concurrently. Each product serves enterprise customers and processes millions to billions of real-time requests. The architecture is serious: event streaming for real-time data pipelines, batch processing workloads running alongside live transaction flows, and multi-tenant enterprise-grade reliability expectations across every product.

You will design and operate the platform infrastructure that underpins all of it — scaling horizontally as each new acquisition joins the portfolio, without proportionally scaling cost, complexity, or headcount.

What You Will Own

Platform Architecture

• Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure
• Define, build, and enforce platform standards across portfolio products
• Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed
• Self-service developer platform so product teams ship without waiting on platform

Event Streaming & Pipeline Infrastructure

• Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines
• Design and maintain batch processing infrastructure alongside live event flows
• Ensure pipeline reliability, throughput, and cost are actively managed at scale

CI/CD & Deployment

• Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products
• Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures
• Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified

Observability & Reliability

• Own the full observability stack: Grafana, Prometheus, and Loki across all products
• SLOs and error budgets defined per product; reliability tracked consistently
• Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen
• Incident response: on-call design, escalation playbooks, post-mortem facilitation
• Automated remediation scoped to safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns; novel or ambiguous failures escalate to a human with full context attached

Acquisition Onboarding

• Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture
• Migration plan and execution for each portfolio company joining the platform — sequenced to avoid disrupting live operations
• Target: full platform integration within a defined window per acquisition

A Note on Automation

Where automation is safe and failure modes are well understood — routine provisioning, known CI/CD failure classes, secrets rotation, cost anomaly flagging — aggressive automation is expected. Where automation would act on ambiguous signals or carry significant blast radius, human judgement stays in the loop. The goal is to reduce toil on solved problems, not to automate decisions that require engineering expertise.

Platform Stack

Area Stack / Standard IaC Terraform OSS / OpenTofu CI/CD GitHub Actions Event Streaming Architecture and tooling chosen for the workload Observability Grafana, Prometheus, Loki Log Management AWS CloudWatch, Grafana Loki Incident Management OpsGenie (startup tier) or Better Uptime Secrets AWS Secrets Manager / HashiCorp Vault OSS Containers ECS (default), EKS only where justified Cost Monitoring AWS Cost Explorer with custom dashboards What We’re Looking For

• 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time
• Strong Terraform depth across multi-environment, multi-account setups
• CI/CD ownership across a multi-product environment with GitHub Actions
• Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management
• Hands-on Grafana, Prometheus, and Loki in production
• AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture
• Acquisition or greenfield platform integration experience strongly preferred

How You Work

• Comfortable operating across multiple products simultaneously — context-switching without dropping standards
• Cost-efficiency instinct — you optimise spend as a habit, not as a project
• You treat automation as a tool for eliminating toil, not a substitute for engineering judgement
• You document decisions, enforce standards through code, and build platforms that other engineers find intuitive to use

Why This Role

The platform function is being built from the ground up. You will have architectural ownership of the entire non-AWS platform layer across a growing portfolio of enterprise SaaS products, with the freedom — and responsibility — to build the reliability and delivery culture of the organisation.

This is not a role that inherits someone else’s decisions and maintains them. Every major architectural choice is still to be made. If you want to build something that lasts and that other engineers depend on, this is the role.

DevOps Engineer

AWS Infrastructure, CI/CD & Production Operations

Mumbai (On-site) | Full-time | 2-4 years

About the role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a DevOps Engineer who will own day-to-day cloud infrastructure, deployment automation, and production operations across active customer engagements.

The mandatory requirement for this role is hands-on production experience on AWS, with infrastructure as code, container orchestration, and CI/CD pipelines owned end to end on at least one live customer workload. The role is hands-on. Expect to operate Kubernetes clusters, build CI/CD pipelines, automate environment provisioning, manage TLS and DNS, set up observability, and partner with backend and AI engineers to ship reliably. A typical week includes a Terraform refactor, a deployment pipeline build for a new service, an incident response on a production cluster, and a cost review.

Responsibilities:

• AWS infrastructure: Design and operate production infrastructure on AWS using EC2, EKS or ECS, S3, RDS, IAM, VPC, CloudFront, and Route53. Own configuration, networking, and cost.
• Infrastructure as code: Write and maintain Terraform or Pulumi modules. Drive consistency across environments and tenants through IaC rather than manual configuration.
• Kubernetes and containers: Operate production EKS clusters. Manage Helm charts, Ingress, autoscaling, secrets, and workload isolation.
• CI/CD pipelines: Build and maintain pipelines using GitHub Actions, GitLab CI, or equivalent. Include automated tests, security scans, and rollback paths.
• TLS, DNS, and CDN automation: Automate domain provisioning, TLS issuance (Let's Encrypt, cert-manager, ACM), and CDN configuration (CloudFront, Cloudflare).
• Observability and incident response: Set up monitoring, logging, and alerting using Prometheus, Grafana, ELK, Loki, or CloudWatch. Lead incident response and write postmortems.
• Secrets and security: Manage secrets through Vault, AWS Secrets Manager, or KMS. Apply least-privilege IAM and review access regularly.
• Cost monitoring: Track and optimise AWS spend across environments. Surface waste and propose remediations.
• 
  

Requirements:

• Hands-on AWS production experience (mandatory). Must have personally operated production workloads on AWS, with responsibility for IaC, deployments, and incident response on at least one live customer or internal-platform deployment. POCs and lab environments do not qualify.
• 2 to 4 years of hands-on DevOps or infrastructure experience. Candidates with slightly less experience but strong demonstrated ownership are welcome to apply.
• AWS depth. Hands-on with EC2, S3, IAM, VPC, EKS or ECS, RDS, CloudFront, and Route53. Working knowledge of CloudWatch and AWS cost tooling.
• Kubernetes in production. Hands-on operation of EKS or equivalent. Comfort with Helm, Ingress controllers, autoscaling, and resource quotas.
• Infrastructure as code. Strong with Terraform (preferred) or Pulumi. Modular code, state management, and review discipline.
• CI/CD pipelines. Production experience with GitHub Actions, GitLab CI, or equivalent. Comfort with multi-environment pipelines and release strategies.
• Scripting and automation. Strong Bash and Python (or Go) for tooling. Linux fluency at the command line.
• Observability stack. Hands-on with Prometheus, Grafana, ELK or Loki, and at least one APM tool (Datadog, New Relic, or equivalent).
• Networking, TLS, and security fundamentals. Comfortable with DNS, TLS certificate lifecycle, VPC peering, and security groups.



Nice to have: multi-tenant SaaS infrastructure experience; service mesh (Istio, Linkerd); GitOps (ArgoCD, Flux); sandboxed execution environments (Firecracker, gVisor); exposure to platform engineering or developer-platform teams.

Company Description

NonStop io Technologies, founded in August 2015, is a Bespoke Engineering Studio specializing in Product Development. With over 80 satisfied clients worldwide, we serve startups and enterprises across prominent technology hubs, including San Francisco, New York, Houston, Seattle, London, Pune, and Tokyo. Our experienced team brings over 10 years of expertise in building web and mobile products across multiple industries. Our work is grounded in empathy, creativity, collaboration, and clean code, striving to build products that matter and foster an environment of accountability and collaboration.

Role Description

This is a full-time hybrid role for a Java Software Engineer, based in Pune. The Java Software Engineer will be responsible for designing, developing, and maintaining software applications. Key responsibilities include working with microservices architecture, implementing and managing the Spring Framework, and programming in Java. Collaboration with cross-functional teams to define, design, and ship new features is also a key aspect of this role.

Responsibilities:

● Develop and Maintain: Write clean, efficient, and maintainable code for Java-based applications 

● Collaborate: Work with cross-functional teams to gather requirements and translate them into technical solutions 

● Code Reviews: Participate in code reviews to maintain high-quality standards 

● Troubleshooting: Debug and resolve application issues in a timely manner 

● Testing: Develop and execute unit and integration tests to ensure software reliability

● Optimize: Identify and address performance bottlenecks to enhance application performance 

Qualifications & Skills:

● Strong knowledge of Java, Spring Framework (Spring Boot, Spring MVC), and Hibernate/JPA 

● Familiarity with RESTful APIs and web services 

● Proficiency in working with relational databases like MySQL or PostgreSQL 

● Practical experience with AWS cloud services and building scalable, microservices-based architectures

● Experience with build tools like Maven or Gradle 

● Understanding of version control systems, especially Git 

● Strong understanding of object-oriented programming principles and design patterns 

● Familiarity with automated testing frameworks and methodologies 

● Excellent problem-solving skills and attention to detail 

● Strong communication skills and ability to work effectively in a collaborative team environment 

Why Join Us? 

● Opportunity to work on cutting-edge technology products 

● A collaborative and learning-driven environment 

● Exposure to AI and software engineering innovations 

● Excellent work ethic and culture 

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you