50+ AWS (Amazon Web Services) Jobs in India

About the company

The client is a US-based cybersecurity startup prevents, detects, and responds to software supply chain attacks by analyzing behavior across the full software development lifecycle for both developers and AI coding agents. They are building a vertical AI agent for supply chain security across three pillars: securing AI agents on developer machines, OSS package security, and CI/CD security, covering the entire agentic pipeline from dev environment to cloud.

About the Job

We are seeking backend engineers to build and maintain the CI/CD security platform's backend systems and components (GitHub Actions). This high-impact role involves setting best practices and owning engineering processes, with contributions used by thousands of developers globally. Our primary languages are Golang and Node.js.

Requirements

• 2–5 years of experience, strong engineering fundamentals (cyber security background not mandatory), AI-native mindset, comfortable with a hands-on zero-to-one environment. We use Golang as our primary language.
• Must-haves: Golang backend programming; AWS/Azure/GCP background; scalable/fault-tolerant system design.
• For all engineering positions, prior early-stage startup experience is a must-have requirement.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid understanding of software development principles, design patterns, and best practices.Expertise in building scalable and fault-tolerant systems.
• Strong collaborative and problem-solving skills.
• Self-motivated, creative thinker with a drive for continuous improvement.
• Experience in a startup or high-impact, outcome-driven environment.

Location

India remote. Candidates should be able to overlap a few hours with Pacific Time (PT) when working on urgent customer issues as required.

Responsibilities

• Design, develop, and maintain robust, scalable software solutions.
• Architect and implement CI/CD components (GitHub Actions).
• Deliver features incrementally in quick iterations.
• Write clean, efficient, and maintainable code following industry best practices.
• Conduct code reviews and provide constructive feedback.
• Troubleshoot and debug complex software issues promptly.

Why Join Us

• The company is at the forefront of supply chain security research and product development. They were the first to detect several major supply chain attacks in 2025 and 2026 such as the axios npm compromise, tj-actions, etc
• Their research and findings are regularly cited by major publications such as Bloomberg, TechCrunch, Hacker News, and Dark Reading. The Cybersecurity and Infrastructure Security Agency (CISA), the primary cybersecurity agency for the US federal government, has published several cybersecurity advisories citing our work
• In addition to having several enterprise customers, we have been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, Datadog, and others.
• Engineers joining now get to work on hard, high-impact problems at the intersection of security, AI, and open source, with meaningful equity upside at an early stage.

We're hiring a Cloud Architect (Contract) to work with our Equity Partners who builds profitable growth by acquiring and operating enterprise software companies. Refining a proprietary operating model across 40+ acquisitions and two decades of hands-on experience, now supercharged by our patented agentic AI platform . In this role, you'll take full architectural control of our CI/CD, observability, and event streaming infrastructure, build the standards every new acquisition plugs into, and use AI-assisted automation to keep 20+ products reliable without proportionally scaling headcount.

Job title: Cloud/Platform Architect (SRE)

Type: Global Remote | Contract

What You Bring

• 8–12 years in platform engineering, DevOps, or SRE, with growing ownership over time
• Deep Terraform experience across multi-account, multi-env setups
• Real production experience with event streaming at scale
• Hands-on Grafana, Prometheus, Loki, and strong AWS depth (ECS, EKS, IAM, VPC, RDS)
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortems
• Bonus: acquisition or greenfield platform-building experience

Roles and Responsibilities

• Own everything outside core AWS infra: CI/CD, observability, event streaming, deployment, incidents
• Define the standards every future acquisition will plug into
• Keep 20+ enterprise products running at serious scale (millions–billions of requests)
• Build self-service tooling so product teams never wait on you
• Use AI/automation to kill toil — not to replace engineering judgement

Ready to build the platform that scales an entire portfolio? — let's connect.

Job Summary

We are seeking a highly skilled AWS Cloud/DevOps Engineer with hands-on experience in Amazon Web Services (AWS), Infrastructure as Code (Terraform), and observability tools such as Splunk, AppDynamics, or Grafana. The ideal candidate will be responsible for designing, deploying, automating, and supporting scalable cloud infrastructure while ensuring reliability, security, and operational efficiency.

Key Responsibilities

• Design, deploy, and manage cloud infrastructure on AWS.
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure provisioning and application deployments.
• Configure and manage monitoring, logging, and alerting using Splunk, AppDynamics, or Grafana.
• Monitor system performance and troubleshoot infrastructure and application issues.
• Implement AWS security best practices, IAM policies, and networking configurations.
• Support and optimize CI/CD pipelines for automated deployments.
• Collaborate with development, security, and operations teams to improve platform reliability.
• Optimize cloud resources for performance, availability, scalability, and cost efficiency.
• Create and maintain technical documentation, operational procedures, and runbooks.

Required Skills

• Strong hands-on experience with Amazon Web Services (AWS).
• Expertise in Terraform for Infrastructure as Code.
• Experience with one or more monitoring/observability tools:
• Splunk
• AppDynamics
• Grafana
• Strong knowledge of AWS services such as:
• EC2
• VPC
• IAM
• S3
• RDS
• CloudWatch
• ELB/ALB
• Auto Scaling
• Route 53
• Experience with Linux administration.
• Proficiency in scripting using Bash, Python, or Shell scripting.
• Experience with Git and version control systems.
• Knowledge of CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or AWS CodePipeline.
• Strong troubleshooting and problem-solving skills.

Preferred Skills

• Experience with Docker and Kubernetes (EKS).
• Knowledge of Prometheus and Grafana-based monitoring.
• Familiarity with Ansible or other configuration management tools.
• Understanding of AWS CloudFormation (preferred but not mandatory).
• AWS Certifications (Associate or Professional) are a plus.

Key Responsibilities

Build and maintain data transformation pipelines using Spark

Develop and optimize large-scale/CPU intensive data processing using Apache Spark

Orchestrate workflows using Airflow

Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

hands-on experience with HBase

Apache Spark

Experience with HBase or similar lakehouse query engines

Airflow 

Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)

Proficiency in Java

Experience with Git-based development and CI/CD

Nice-to-Have Skills

OpenTable format/Iceberg ,Apache Arrow

CDC-based analytics pipelines

Cloud platforms (AWS)

Kubernetes-based data platforms

Job Summary

We are looking for a skilled Windows Administrator with hands-on experience in cloud technologies to manage, maintain, and optimize Windows server environments across on-premises and cloud infrastructure. The ideal candidate should have strong expertise in Windows Server administration, Active Directory, virtualization, cloud platforms, and infrastructure automation.

Key Responsibilities

• Install, configure, and maintain Windows Server environments.
• Manage Active Directory, Group Policy, DNS, DHCP, and IIS.
• Administer Microsoft 365 and Azure Active Directory (Entra ID).
• Deploy, manage, and monitor cloud infrastructure on Microsoft Azure (AWS knowledge is an added advantage).
• Perform server patching, upgrades, and security hardening.
• Monitor server performance, availability, and system health.
• Configure and manage virtual environments using VMware or Hyper-V.
• Implement backup, disaster recovery, and business continuity solutions.
• Troubleshoot Windows OS, server, networking, and cloud-related issues.
• Automate routine administrative tasks using PowerShell.
• Manage storage, file servers, and permissions.
• Collaborate with infrastructure, security, and application teams for project implementation.
• Maintain technical documentation, SOPs, and operational procedures.

Required Skills

• Strong experience with Windows Server 2016/2019/2022.
• Hands-on experience with Active Directory, DNS, DHCP, Group Policy, and IIS.
• Experience with Microsoft Azure, Azure Virtual Machines, Azure Storage, Azure Networking, and Entra ID.
• Knowledge of Microsoft 365 administration.
• Good understanding of VMware or Hyper-V virtualization.
• Experience with PowerShell scripting and automation.
• Knowledge of Windows security, patch management, and endpoint management.
• Understanding of networking concepts (TCP/IP, VPN, Firewall, Load Balancer).
• Familiarity with monitoring tools and backup solutions.

Preferred Skills

• Experience with AWS is an advantage.

About the opportunity:

This role is with Sporty Group. CareersInCloud shares this opportunity to help professionals discover relevant technology careers.

Hiring Company: Sporty Group

Sporty Group is looking for an experienced DevOps Engineer to join its remote engineering team.

This role involves managing AWS cloud infrastructure, Kubernetes environments, CI/CD pipelines, monitoring, automation, and improving system reliability.

Key Responsibilities:

• Manage AWS infrastructure and cloud operations

• Maintain Kubernetes clusters and Docker environments

• Build and improve CI/CD pipelines

• Monitor production systems using Grafana, Prometheus, and CloudWatch

• Troubleshoot Linux, networking, and infrastructure issues

Requirements:

• 3+ years of DevOps experience

• Strong AWS and Kubernetes experience

• Experience with Docker, Linux, CI/CD tools

• Good understanding of cloud infrastructure and automation

Apply here:

https://careersincloud.com/jobs/sporty-group-hiring-devops-engineer-remote-experienced

About the Role

SwitchKart is on a mission to make technology more accessible and more sustainable — we're in the business of recommerce, giving old smartphones a second life, cutting down e-waste, and extending the lifecycle of every device we touch.

We're looking for a Senior Full Stack Developer to help us build and scale the ecosystem of platforms powering this mission — from our procurement app to our retailer app, pricing engines, and warranty systems. You'll take ownership of complex features end-to-end, mentor junior engineers, and make architectural decisions that shape how we grow.

What You'll Do

• Own Features End-to-End: Design, build, and ship full stack features across our procurement, retailer, pricing, and warranty platforms — from database schema to UI polish.

• Drive Architecture: Make key technical decisions on system design, scalability, and code structure as our ecosystem of apps grows.

• Build AI-First: Design and build systems with AI at the core — not bolted on. Think about where AI can automate, assist, or enhance the products you're building from day one.

• Build Scalable Architecture: Build and monitor a highly performant, failure-resistant platform — we take pride in doing this with a small, high-ownership team.

• Automate and Integrate: Develop tools that automate our integration processes and build data pipelines across our app ecosystem.

• Foster Technical Excellence: Champion unit and integration testing and lead meaningful code reviews across the team.

• Prototype and Validate: Create interactive prototypes to prove out technical concepts and participate in pilots for new initiatives.

• Mentor the Team: Guide junior developers through code reviews, pairing, and technical direction.

• Report Upward: Provide regular updates to management on milestones, risks, issues, and mitigation plans.

• Collaborate Cross-Functionally: Work closely with product and design to translate requirements into robust technical solutions across multiple products.

What We're Looking For

Must Have

• 4+ years of full stack development experience

• Strong proficiency in React and Node.js

• Solid experience with PostgreSQL or MySQL — schema design, query optimisation

• Experience designing and scaling production systems

• Experience deploying and managing applications on a cloud platform (AWS/GCP or similar)

• Comfortable owning a feature from concept to deployment

• Strong debugging and problem-solving skills

Good to Have

• Experience mentoring or leading junior engineers

• Track record of driving scalability and time-to-market in past cloud architecture decisions

• Exposure to CI/CD pipelines

• Experience with Docker, NoSQL databases, or distributed caching

• Experience integrating third-party REST/SOAP APIs

• Experience in a fast-moving startup environment

Why SwitchKart

• Real ownership over architecture and technical direction.

• Access to the latest AI coding agents and tools — we invest in keeping our engineers on the cutting edge.

• Work on a genuinely differentiated business with measurable impact.

• Be part of a lean team where your decisions shape the product.

• Opportunity to mentor and grow the engineering team.

Agent Application Engineer (Backend / Agentic AI) — Level 1

About Sentiaflow

Sentiaflow is an AI engineering and IT services company that designs and delivers production-grade agentic AI systems. We work at the point where large language models meet real business operations: data, APIs, permissions, workflow state, human decisions, security, evaluation, and measurable outcomes.

Our initial domain focus is healthcare, particularly clinical trials and related operational workflows. These are environments where an impressive demo is not enough. A system must be dependable, traceable, appropriately controlled, and clear about when a human must make the decision.

We are building a specialised engineering organisation across three disciplines:

• Agent Application Engineering
• Agent Platform & Evaluation Engineering
• Applied AI & Model Engineering

The Role

We are hiring strong backend or application engineers who want to specialise in building agentic AI applications. You do not need to arrive with several years of "agent engineer" experience. We are more interested in whether you have built real software, understand how production systems fail, and can learn to use models inside controlled business workflows.

As a Level 1 Agent Application Engineer, you will implement bounded parts of a production workflow under the guidance of an Agent Captain or senior engineer. Your work will connect models to application services, tools, data sources, and human approval points. You will be expected to make every important step observable, testable, and recoverable.

This is not a prompt-writing position, and it is not a generic chatbot role. It is an application engineering role for systems in which some decisions are probabilistic, while the surrounding controls must remain deterministic.

What You Will Work On

The specific client problem will vary, but typical work may include:

• Converting a clinical-operations signal into a bounded workflow that gathers evidence, analyses likely causes, presents options, and routes a recommendation to an authorised person.
• Building services that extract or structure information from trial documents and pass the result through validation and human review.
• Integrating agent workflows with internal APIs, databases, document systems, notification services, and client platforms.
• Implementing workflow state, recovery behaviour, approval gates, permissions, traceability, and scenario-based evaluations.

The work concerns operational decision support and workflow execution. It does not delegate clinical judgment or patient-care decisions to an autonomous model.

What You Will Be Responsible For

• Translate a clearly scoped business workflow into typed inputs, outputs, states, actions, and escalation paths.
• Build reliable application services and tool integrations using Node.js/TypeScript or Python.
• Use an LLM only where model judgment adds value; implement rules, validation, authorisation, and workflow control in deterministic code.
• Design structured model outputs and validate them before they can affect downstream systems.
• Handle partial data, unavailable tools, duplicate events, retries, time-outs, rate limits, and other normal production failure modes.
• Add logging, traces, metrics, and decision records that make the workflow diagnosable.
• Create tests and evaluation cases that measure whether the complete workflow behaves correctly—not merely whether an answer sounds fluent.
• Protect sensitive information and participate in code, design, failure-analysis, and release-readiness reviews.
• Explain your implementation and its trade-offs clearly to engineers, delivery leads, and client stakeholders.

At Level 1, you will not be expected to define the entire client architecture alone. You will be expected to own your assigned module, ask precise questions, surface risks early, and bring it to a production-ready standard with senior review.

What We Are Looking For

Essential Experience

• Approximately 3–6 years of hands-on backend or application engineering experience.
• Evidence that you have built or materially owned production APIs, services, data flows, integrations, or workflow-heavy applications.
• Strong programming ability in JavaScript/TypeScript, Python, Java, C#, Go, or a comparable backend language. Our preference is Node.js/TypeScript, but engineering depth matters more than language loyalty.
• Practical understanding of API design, databases, asynchronous processing, authentication and authorisation, testing, and deployment.
• Ability to reason clearly about state, retries, idempotency, concurrency, permissions, audit trails, and failure recovery.
• Experience debugging real production behaviour rather than only building greenfield demonstrations.
• Clear written and verbal communication, including the ability to explain technical trade-offs without hiding behind framework terminology.

Useful, but Not Mandatory

• Experience integrating LLM or machine-learning capabilities into an application.
• Experience with event-driven systems, state machines, workflow engines, observability, evaluation harnesses, or production incident analysis.
• Experience in healthcare, life sciences, clinical trials, or another regulated or audit-sensitive environment.

Healthcare or clinical-trials experience is preferred, not required at Level 1. We would rather hire a strong production engineer who can learn the domain than a candidate who knows the vocabulary but cannot build dependable systems.

What Does Not Qualify by Itself

Any of the following may be useful experience, but none is sufficient on its own:

• A chatbot or "chat with your documents" application.
• A RAG demonstration built primarily by connecting frameworks.
• A list of AI tools, model names, courses, certificates, or prompt-engineering techniques.
• An application that works in a demo but has no clear handling of permissions, failures, evaluation, or production operations.

How We Will Assess Fit

Our evaluation is designed to identify engineering judgment without asking you to build unpaid project work. We will focus on:

• A structured discussion of a production system you have worked on.
• Questions grounded in your own CV and claimed experience.
• A realistic workflow scenario covering system boundaries, evidence, controls, failure modes, and testing.
• Backend fundamentals and how you would apply them to an AI-enabled workflow.

You are NOT expected to have built a clinical-trials agent before applying.

What Success Looks Like

Within your first six months, you should be able to:

• Implement a bounded agent-workflow module from an agreed design and take responsibility for its quality.
• Integrate models and tools without allowing probabilistic output to bypass deterministic controls.
• Produce traces, tests, and evaluation evidence that support a release decision.
• Diagnose failures across application, tool, data, and model boundaries with progressively less supervision.
• Explain the workflow to a client or domain stakeholder in clear operational language.

Consistent performance at this level creates a path towards Level 2 — Independent Delivery Engineer, where you own a production workflow end to end, including discovery, architecture, integrations, evaluation, failure handling, and release readiness.

Why You Should Join Us

• Build the real systems behind agentic AI. You will work beyond demos and wrappers on the engineering problems that determine whether an AI workflow can operate in production.
• Develop a scarce, durable specialisation. Sentiaflow offers a defined progression across application engineering, platform and evaluation, and applied AI—not a vague instruction to "learn AI."
• Work on consequential operational problems. Clinical-trials workflows demand evidence, traceability, human accountability, and reliable execution.
• Learn through delivery with experienced review. You will own meaningful engineering work while receiving architectural and domain guidance appropriate to your level.
• Influence how the discipline is built. We are at an early stage, so strong engineers will help shape our methods, reusable assets, quality standards, and engineering culture.

Job Title: Senior Data Engineer

Work Location: Remote / Home Office (US Shift: 6 PM – 3 AM IST)

Employment Type: Full-time, Permanent

Experience Required: 12 - 15 years

About the Role

We are seeking a highly skilled Senior Data Engineer with extensive experience in

designing, building, and optimizing data solutions for the US education industry. The

ideal candidate will have strong expertise in SQL development, data modeling, ETL

processes, and hands-on experience with business intelligence tools such

as Tableau and Power BI.

Key Responsibilities

• Design, develop, and optimize data pipelines, ETL processes, and data

integration workflows across multiple systems.

• Work with stakeholders in the US education domain to understand data

requirements and deliver scalable solutions.

• Develop and maintain complex SQL queries, stored procedures, and

performance-optimized data models.

• Collaborate with data analysts and business teams to build dashboards,

reports, and visualizations in Tableau and Power BI.

• Ensure data quality, governance, and compliance with industry regulations

and institutional reporting requirements.

• Partner with cross-functional teams (Product, Analytics, IT) to support data

driven decision-making.

• Monitor, troubleshoot, and improve data infrastructure and workflows for high

availability and performance.

Required Qualifications

• 12–15 years of professional experience in data engineering, ETL, and database

development.

• Strong expertise in SQL (complex queries, optimization, indexing, stored

procedures).

• Proven experience working with data in the US education industry (student

information systems, enrollment data, compliance reporting, accreditation,

etc.).

• Hands-on expertise with Tableau and Power BI for data visualization and

reporting.

• Solid understanding of data modelling, data warehousing concepts, and BI

best practices.• Experience with cloud data platforms (AWS Redshift, Snowflake, Azure

Synapse, or GCP BigQuery).

• Knowledge of Python, Spark, or other data processing frameworks is a plus.

• Strong problem-solving skills with the ability to translate business requirements

into technical solutions.

Preferred Skills

• Familiarity with IPEDS, state/federal reporting standards, or other US

education regulatory frameworks.

• Exposure to data governance frameworks and master data management.

• Experience in API integrations and handling large-scale structured/unstructured

data.

• Excellent communication skills to work with both technical and non-technical

stakeholders.

Job Title : Senior Software Engineer (Python, Golang, Node.js, Elixir, SQL)

Experience : 5+ Years

Location : Mumbai (Work From Office)

Employment Type : Full Time Opportunity

Job Summary :

We are looking for a Senior Software Engineer with strong backend development experience to build scalable, cloud-native applications and distributed systems.

The ideal candidate should have experience in product-based environments, designing microservices, REST APIs, and customer-facing production applications while collaborating with cross-functional teams.

Mandatory Skills :

Backend Development, Python, Golang, Node.js, Elixir, SQL, Cloud-Native Architecture, REST APIs, Microservices, Distributed Systems, Cloud Platforms, Relational & NoSQL Databases, Platform Engineering, CI/CD, Production Support, System Design

Key Responsibilities :

• Design and develop scalable backend services, REST APIs, and microservices.
• Build and enhance cloud-native, high-performance applications.
• Participate in architecture and system design discussions.
• Collaborate with Product, DevOps, Security, and Data Engineering teams.
• Troubleshoot production issues and optimize application performance.
• Mentor team members and contribute to engineering best practices.

Required Skills :

• 5+ years of software development experience in product-based organizations.
• Strong backend development using Python, Golang, Node.js, Elixir, or similar technologies.
• Experience with REST APIs, Microservices, SQL, and Distributed Systems.
• Strong understanding of cloud platforms and cloud-native architecture.
• Hands-on experience with relational and NoSQL databases.
• Familiarity with CI/CD, monitoring, and DevOps practices.

Preferred Skills :

• Experience building highly scalable distributed systems.
• Strong debugging, troubleshooting, and performance optimization skills.
• Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
• Excellent communication, collaboration, and problem-solving abilities.
• Experience mentoring engineers and leading technical initiatives.

We are seeking a skilled and experienced Senior DevOps Engineer to join our team. As a Senior DevOps Engineer, you will play a crucial role in designing, implementing, and managing our cloud infrastructure on AWS, while utilizing Docker, Kubernetes, Terraform and Argo CD for containerization and deployment. You will collaborate closely with development teams to ensure smooth software releases, scalability, and reliability of our systems. Also, you will be working on Airflow and Spark configurations for Data pipelines.

Responsibilities:

• Design, implement, and maintain scalable and secure cloud infrastructure on AWS, utilizing services such as EC2, S3, VPC, IAM, and Lambda.
• Build, deploy, and manage containerized applications using Docker and Kubernetes.
• Develop and maintain CI/CD pipelines to enable continuous integration, automated testing, and deployment using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Implement and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of AWS resources.
• Monitor and troubleshoot infrastructure and application issues, ensuring high availability, performance, and scalability of the system.
• Collaborate with development teams to ensure smooth and efficient software releases, including version control, branching strategies, and release management.
• Implement and maintain robust security practices, including access control, network security, and data encryption.
• Automate manual tasks and processes using scripting languages (e.g., Python, Bash) and configuration management tools (e.g., Ansible).
• Collaborate with cross-functional teams to gather requirements, provide technical guidance, and implement best practices for infrastructure and deployment processes.
• Stay up-to-date with the latest DevOps tools, technologies, and best practices, and identify opportunities for improvement and optimization in our infrastructure and processes.

Requirements:

• Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
• Proven experience as a DevOps Engineer, with a focus on AWS, Docker, Kubernetes, and Argo CD.
• Strong experience in designing, implementing, and managing cloud infrastructure on AWS, including services like EC2, S3, VPC, IAM, and Lambda.
• Hands-on experience with containerization technologies, specifically Docker and Kubernetes.
• Proficiency in CI/CD pipeline setup and management using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Solid understanding of infrastructure as code (IaC) principles and experience with tools like Terraform or CloudFormation.
• Experience in monitoring and troubleshooting complex infrastructure and application issues.
• Strong scripting and automation skills using languages such as Python, Bash, or PowerShell.
• Excellent problem-solving and analytical skills, with the ability to handle and prioritize multiple tasks in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Qualifications:

• AWS certifications, such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.
• Experience with infrastructure monitoring and logging tools like CloudWatch, ELK stack, or Prometheus/Grafana.
• Knowledge of serverless architectures and experience with AWS Lambda.
• Familiarity with other cloud platforms (e.g., Azure, Google Cloud Platform).
• Understanding of security best practices and experience implementing security measures in cloud infrastructure.

Forward-deployed engineers (FDEs) are Mactores' services layer. You embed with the customer's team, own outcomes from discovery through the production cutover, and personally carry the delivery commitment.

The agent platform we deploy absorbs 60–70% of engagement work, discovery, assessment, design, and testing. You absorb the judgment: target architecture, refactoring trade-offs, model selection, cutover strategy, and the decisions an agent platform cannot make. The agent absorbs scale. You absorb judgment. 

This is not a staff-augmentation seat and not an advisory role. You ship.

What you will do?

• Deliver production agentic AI systems and AWS modernization engagements on committed dates across three pillars: Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps.
• Build and productionize AI agents, orchestration, retrieval pipelines, evaluation harnesses, observability running against real customer data, not demo data.
• Convert existing products into agents: expose product functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Convert existing Business processes into agents: expose process functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Embed directly with customer engineering teams. Run architecture sessions, defend design decisions, and align stakeholders from VP Engineering to CTO.
• Make agent decisions traceable and defensible, validation runs in parallel with live workloads, and outputs hold up to internal audit and regulators (HIPAA, PCI-DSS, FSI-grade governance where the vertical demands it).
• Feed field experience back into the platform and practice: your deployment patterns, integration playbooks, and edge cases shape how we deliver.

What are we looking for?

• Excellent communication skills (English) — verbal and written. Non-negotiable. You will present architecture to customer CTOs, write documents that hold up in audit, and defend judgment calls in the room. If you can build but not explain, this role is not a fit.
• You have shipped production agentic AI systems on AWS. Not POCs, not notebooks — systems running in production for real users. This is the primary qualification. Be prepared to walk through what you shipped, the decisions you made, and what broke.
• Deep understanding of agentic architecture — you can design an agent system from first principles and explain why each component exists:
• Agent design patterns: single-agent vs. multi-agent systems, supervisor/orchestrator patterns, hierarchical agent topologies, planner–executor separation, and when each applies.
• Orchestration: building and operating orchestrator agents that decompose tasks, route work to specialist agents or tools, and manage state across multi-step workflows (LangGraph, Strands Agents, CrewAI, or equivalent).
• Memory: short-term/working memory (context management, conversation state) and long-term memory (episodic and semantic stores, vector- and graph-backed retrieval), and the production trade-offs of each.
• Reflection and self-correction: critique loops, self-evaluation, retry-with-feedback patterns, and evaluation harnesses that catch agent failures before customers do.
• Tool use and function calling: schema design, tool-selection reliability, error handling, and agent-to-agent composition.
• RAG and retrieval pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding agent decisions in customer data.
• Strong AWS production experience: Amazon Bedrock and AWS AI services, plus core platform services (Lambda, API Gateway, DynamoDB, RDS/Aurora, Glue, EMR, Redshift, Kinesis, or similar depending on specialization).
• Solid software engineering fundamentals Python, TypeScript, CI/CD, infrastructure-as-code, testing-driven development discipline.
• Experience with data or application modernization (database migration, legacy refactoring, data platform builds) is a strong plus, since agents run against these workloads.
• Indicative experience: roughly 3–10 years in engineering roles, with agentic AI / GenAI as your current day job. We have demonstrated agent-native expertise over tenure — an engineer with 3–4 years of hands-on agentic AI work typically outperforms a 12-year generalist on this work.

You'll be preferred if you've:

• US English verbal and written fluency 
• Delivery experience in one or more of our verticals: Financial Services, Healthcare & Life Sciences, Internet & Software, Manufacturing, or Telco/Media/Entertainment/Gaming/Sports.
• Model tuning and fine-tuning: systematic prompt engineering and optimization; parameter-efficient fine-tuning (LoRA/QLoRA or similar); instruction tuning; working knowledge of RLHF/DPO; sound judgment on when to fine-tune vs. prompt vs. RAG; and evaluation of tuned models against baselines. Fine-tuning experience on Amazon Bedrock or SageMaker is a plus.
• Experience with compliance-sensitive AI systems (HIPAA, PCI-DSS, SOC 2, data residency).
• Knowledge graph, code-analysis (AST), or CDC/streaming experience (Debezium, Kafka/MSK).
• Solid software engineering fundamentals — Java, C++, Go Lang, .Net, Rust
• Prior customer-facing consulting or forward-deployed experience.
• AWS certifications (Solutions Architect Professional, Machine Learning Specialty, or Data Analytics).

Why This Role?

• You own outcomes, not tickets. FDEs carry the delivery commitment personally — architecture, judgment, and cutover are yours.
• You work agent-native from day one. Our delivery model would not function without agents. You build with the platform, not around it.
• You ship. Engagements measured in weeks to production, legacy retired, outcomes named. No archived pilots.
• You compound. Field delivery informs the Aedeon platform roadmap; the platform's growth expands what you can deliver. Few engineering roles sit in that loop.

Experience: 5+ Years

Location: Bangalore (On-site/Hybrid as applicable)

Budget: Up to 16 LPA

Shift: Till 10:00 PM IST (US customer overlap)

Payroll: Haparz

Job Description

We are looking for an experienced AWS Cloud Engineer with strong expertise in Amazon Neptune to build, enable, and secure cloud services for multiple engineering teams. The role focuses on designing and managing scalable AWS infrastructure while implementing graph database solutions using Amazon Neptune DB and Neptune Analytics. You will work closely with project teams to deliver secure, automated, and production-ready cloud environments.

Roles & Responsibilities

• Design, deploy, and manage Amazon Neptune DB environments for enterprise applications.
• Configure and maintain Neptune Analytics for graph-based workloads and data analysis.
• Build and manage AWS infrastructure using Infrastructure as Code (Terraform).
• Provision and administer Amazon ElastiCache (Redis) clusters for high-performance caching.
• Implement secure, scalable, and highly available AWS cloud infrastructure.
• Develop reusable Terraform modules and automate infrastructure deployments.
• Configure networking, IAM policies, encryption, and security best practices across AWS services.
• Monitor infrastructure performance, troubleshoot production issues, and optimize cloud resources.
• Collaborate with development teams to enable cloud services and improve deployment efficiency.
• Maintain documentation and ensure infrastructure follows organizational standards.

Required Skills

• Hands-on experience with Amazon Neptune DB (Mandatory)
• Experience with Neptune Analytics
• Strong AWS Cloud Infrastructure experience
• Expertise in Terraform
• Experience with Amazon ElastiCache (Redis)
• Good understanding of AWS networking (VPC, Subnets, Security Groups, Route Tables)
• Experience with IAM, KMS, CloudWatch, CloudTrail
• Knowledge of Infrastructure Automation and CI/CD
• Strong troubleshooting and performance tuning skills

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Hiring for Senior Devops Engineer - AWS

Exp : 6 - 8 yrs

Edu : BE/B.Tech

Work Location : Pune WFO

Notice Period : Immediate - 15 days

Skills :

5+ years of hands-on experience in DevOps Engineering and Infrastructure Management.

Exp with AWS Cloud, including EC2, S3, VPC, EKS, Lambda, IAM, CloudWatch, and other core AWS services.

Exp in Terraform for Infrastructure as Code (IaC).

Exp with Kubernetes (EKS) and Helm for container orchestration and deployment.

Good knowledge of Monitoring & Observability tools such as Grafana and Prometheus.

Job Title: Graph Database Engineer (Neo4j / Knowledge Graph)

Experience: 4–8 Years (Preferred)

Key Responsibilities

• Design, develop, and optimize graph database solutions using GraphDB technologies.
• Build, maintain, and query graph data models for enterprise applications.
• Develop and manage Knowledge Graphs to support AI and data-driven use cases.
• Design graph schemas, relationships, and ontologies for efficient data representation.
• Collaborate with AI/ML, data engineering, and application development teams to integrate graph-based solutions.
• Optimize graph queries and ensure high performance, scalability, and reliability.

Required Skills

• Strong hands-on experience with Graph Databases.
• Neo4j experience is highly preferred.
• Proficiency in Cypher query language and graph data modeling.
• Good understanding of graph database architecture, indexing, and performance optimization.
• Experience with REST APIs and integrating graph databases with enterprise applications.
• Familiarity with Java, Python, or similar programming languages.

Preferred Skills

• Experience in building and managing Knowledge Graphs.
• Exposure to AI/ML, Generative AI, or Retrieval-Augmented Generation (RAG) solutions using graph databases.
• Knowledge of semantic technologies such as RDF, SPARQL, or OWL is an added advantage.
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Excellent analytical, problem-solving, and communication skills.

Nice to Have

• Experience with GraphRAG, LLM-based applications, or AI-powered knowledge management systems.
• Understanding of enterprise data integration and ontology design.

Role: Backend Developer (Node.js)

Key Responsibilities

Backend Development

• Build scalable, high-performance backend services and REST APIs using Node.js.
• Develop robust, maintainable, and production-ready applications.

Database Optimization

• Design efficient database schemas.
• Optimize queries, indexing, and overall database performance.
• Work extensively with PostgreSQL or MySQL.

Frontend Collaboration

• Collaborate closely with frontend engineers to integrate APIs.
• Basic understanding of React or Angular is a plus.

System Design

• Participate in both Low-Level Design (LLD) and High-Level Design (HLD) discussions.
• Design systems with scalability, security, and reliability in mind.

Cloud & Infrastructure

• Deploy and manage applications on AWS.
• Utilize Redis for caching and performance optimization.

Code Quality

• Write clean, maintainable, and well-documented code.
• Participate in code reviews and follow engineering best practices.

Testing & Debugging

• Write comprehensive test cases.
• Ensure backward compatibility.
• Debug and resolve issues related to functionality, performance, and scalability.

Required Skills & Experience

Must Have

• 2+ years of backend development experience.
• Strong proficiency in Node.js.
• Experience with PostgreSQL or MySQL.
• Good understanding of REST APIs.
• Experience with AWS cloud services.
• Knowledge of distributed systems and microservices architecture.
• Experience with Redis or similar caching technologies.
• Strong understanding of system design concepts.
• Excellent debugging and problem-solving skills.
• Focus on writing scalable, reliable, and testable code.

Good to Have

• Basic knowledge of React or Angular.
• Experience working in fast-paced startup environments.

Why Join Vahan?

• Unlimited Paid Time Off (PTO)
• Comprehensive Medical Insurance
• Monthly Wellness Leaves
• Competitive Compensation
• Opportunity to work on products impacting millions of users
• Fast-paced, high-growth startup backed by leading investors
• Ownership-driven engineering culture with meaningful technical challenges

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

Job Title : Senior Software Engineer

Experience : 5+ Years

Location : Mumbai (Work from Office)

Notice Period : Immediate to 15 Days

Mandatory Skills :

Platform Engineering, Backend Development, Python/Golang/Node.js/Elixir, Microservices, REST APIs, Cloud-Native Architecture, Distributed Systems, SQL, Cloud Platforms (AWS/Azure/GCP), Product-Based Experience

Role Overview :

We are looking for a Senior Software Engineer with strong backend engineering expertise to design, build, and scale cloud-native platform services. The ideal candidate should have experience working in product-based organizations, building highly scalable distributed systems, and contributing to platform engineering initiatives.

You will work closely with Product, DevOps, Security, and Engineering teams to build reliable, secure, and high-performance backend systems while driving technical excellence across the organization.

Key Responsibilities :

• Design, develop, and enhance core platform modules and shared backend services.
• Build scalable REST APIs, backend services, and data pipelines for high-volume production environments.
• Participate in architecture discussions and contribute to technical design decisions.
• Collaborate with Product, DevOps, Security, and Data Engineering teams to deliver scalable solutions.
• Design systems with a focus on scalability, performance, security, maintainability, and reliability.
• Troubleshoot complex production issues and implement permanent solutions.
• Review code, mentor engineers, and promote engineering best practices.
• Improve platform reliability, observability, and developer productivity.
• Drive continuous improvements in coding standards, architecture, and development processes.

Required Skills & Qualifications :

• 5+ years of software development experience in product-based companies (B2B experience preferred).
• Strong backend development experience using one or more of :
• Python
• Golang
• Node.js
• Elixir
• Hands-on experience with Microservices Architecture.
• Strong understanding of Cloud-Native Application Development.
• Experience designing and developing RESTful APIs and backend services.
• Minimum 3 years of experience working on cloud-based, customer-facing production applications.
• Strong knowledge of Distributed Systems Design.
• Experience with relational and NoSQL databases.
• Good understanding of SQL and data modeling.
• Experience designing reusable platform services consumed by multiple engineering teams.
• Strong product mindset with the ability to balance business requirements and technical excellence.
• Backend-focused engineer with exposure to frontend technologies.

Preferred Skills :

• Experience building highly scalable distributed platforms.
• Strong debugging and performance optimization skills.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
• Excellent analytical, communication, and problem-solving skills.
• Experience mentoring engineers and driving technical initiatives.

Preferred Background :

• Product-Based Organization
• Platform Engineering Team
• FinTech or B2B SaaS products (preferred)

Senior Software Engineer — JavaScript Full-Stack

Experience: 4–6 years Location: Ahmedabad (Work from Office)

About the Role

We're hiring a senior engineer who can own systems end-to-end on live, production JavaScript/TypeScript applications. You'll work across React frontends, Node backends, and the databases behind them — you don't need to be the deepest expert in every layer, but you should be strong across the stack and able to make architectural calls that hold up.

This role involves real client interaction, technical decision-making, and shipping into production — not just executing tickets. You'll also be someone the mid-level and junior engineers learn from.

What You'll Do

• Design, build, and maintain scalable full-stack applications running in production
• Own technical decisions on architecture, data modeling, deployments, and performance trade-offs
• Debug live issues across the stack, identify bottlenecks, and improve performance
• Participate in client conversations: scoping, technical discussions, demos, and updates
• Review code and raise the team's bar — including the judgment to catch when AI-generated code is subtly wrong, overengineered, or a poor fit
• Mentor junior and mid-level engineers and contribute to team engineering standards
• Continuously evaluate and adopt tools and practices that improve delivery
• Work in an Agile / Scrum setup with regular delivery cycles

Must-Have

• 4–6 years building and shipping production JavaScript/TypeScript applications
• Strong full-stack ability — genuinely comfortable owning both React frontends and Node backends; can architect a feature from UI to data layer
• Deep JavaScript and TypeScript — language fundamentals, async patterns, typing discipline, and the ability to teach these to less experienced engineers
• Strong React — advanced hooks, state management, performance optimization, component architecture, and structuring large apps
• Strong Node backend — REST (and ideally some GraphQL or real-time) APIs, auth, error handling, and integrating third-party services; experience with Express, Nest, or similar
• Solid SQL and NoSQL — data modeling across relational and document paradigms; able to pick the right store for the problem and design schemas that hold up under load and change (PostgreSQL, MySQL, MongoDB, or similar)
• Hands-on AWS — deploying and operating applications, comfortable picking up new services, and debugging issues in production cloud environments
• System design fundamentals — caching (Redis/Memcache), queues, REST/API design, and an understanding of scaling and reliability trade-offs
• Track record on live production systems — operating, supporting, and evolving systems, not only greenfield builds or POCs
• Git workflows in a team — branching, reviews, conflict resolution
• Day-to-day use of AI coding tools (Cursor, GitHub Copilot, Claude Code, or similar) and a point of view on where they help vs. hurt
• Strong communication — can explain technical decisions to clients and non-technical stakeholders
• Independence — breaks down ambiguous problems, designs solutions, and ships without hand-holding

Strong Plus (one or more)

Architecture & Scale

• Microservices, API gateways, event-driven patterns
• Caching strategies, queue-based processing, eventual consistency
• Real-time systems (WebSockets, SSE)

Frontend Depth

• Next.js (SSR/SSG), advanced performance work, design systems
• Accessibility and cross-platform/responsive expertise
• React Native

DevOps / Platform

• CI/CD pipelines, Docker, infrastructure-as-code
• Observability and production monitoring

AI Engineering

• LLM-powered features: RAG, agentic workflows, tool use
• Vector databases (Pinecone, Weaviate, Qdrant, pgvector)
• Prompt engineering, evals, and observability for LLM apps

Nice to Have

• Automated testing depth (unit, integration, e2e)
• Security fundamentals: auth flows, secrets management, OWASP basics
• 
  

Job Title: AI & Automation Engineer

Experience: 3–5 Years

Employment Type: Full-time

Location: On-site

About the Role

We are looking for a passionate and hands-on AI & Automation Engineer to build intelligent automation solutions that improve efficiency and drive business scalability. In this role, you will design and develop automated workflows, build web scrapers and data pipelines, integrate AI/LLM APIs, and create smart systems that eliminate repetitive manual processes.

This position is ideal for someone who enjoys solving real-world business problems using automation, scripting, machine learning, and artificial intelligence technologies.

Key Responsibilities

Design, develop, and maintain automation workflows using platforms such as n8n, Make (Integromat), Zapier, and custom scripts.

Build automation solutions using Python and Google Apps Script for Google Workspace applications, including Google Sheets, Docs, Forms, and Gmail.

Develop and maintain web scraping solutions and data extraction pipelines using tools such as BeautifulSoup, Scrapy, Playwright, or Puppeteer, while adhering to ethical and legal guidelines.

Apply AI and Machine Learning techniques for classification, prediction, data enrichment, document processing, and content generation.

Integrate LLM APIs such as OpenAI, Anthropic Claude, and other AI services into internal tools and automated workflows.

Develop integrations between SaaS platforms, CRMs, databases, spreadsheets, and third-party APIs.

Analyze existing business processes and design end-to-end automation solutions that improve operational efficiency.

Design, manage, and optimize SQL/NoSQL databases supporting automation workflows.

Monitor, troubleshoot, and maintain automation systems to ensure high reliability, scalability, and performance.

Implement proper logging, error handling, monitoring, and documentation for all automation solutions.

Collaborate with cross-functional teams to identify automation opportunities and deliver scalable AI-powered solutions.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Information Technology, B.E., B.Tech, BCA, MCA, or equivalent practical experience.

3–5 years of experience in automation engineering, scripting, AI integration, or related technical roles.

Strong proficiency in Python and/or Google Apps Script.

Hands-on experience with automation platforms such as n8n, Make (Integromat), Zapier, or similar tools.

Experience developing web scrapers using BeautifulSoup, Scrapy, Playwright, Puppeteer, or equivalent frameworks.

Practical experience integrating AI/LLM APIs into business applications.

Good understanding of Machine Learning fundamentals and AI-powered automation.

Strong knowledge of REST APIs, JSON, Webhooks, Authentication, and API integrations.

Experience working with SQL and NoSQL databases.

Strong analytical, debugging, and problem-solving abilities.

Ability to design scalable automation systems from scratch with minimal supervision.

Preferred Skills

Experience with Scikit-learn, TensorFlow, or PyTorch.

Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), and AI Agents.

Experience with Prompt Engineering and Agentic AI Workflows.

Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Experience with Docker, serverless architectures, and cloud-based deployments.

Basic front-end development skills (HTML, CSS, JavaScript) for building internal dashboards and tools.

What We're Looking For

Strong passion for automation and AI technologies.

A builder mindset with the ability to transform manual processes into intelligent automated systems.

Excellent problem-solving and logical thinking skills.

Self-motivated, detail-oriented, and eager to learn emerging AI technologies.

Strong communication and collaboration skills.

Ability to work independently while contributing effectively within a team.

Why Join Us?

Work on cutting-edge AI and automation projects.

Build intelligent systems that have a direct business impact.

Opportunity to experiment with the latest AI technologies and LLMs.

Collaborative environment with continuous learning and growth opportunities.

Exposure to modern automation platforms, cloud technologies, and scalable AI solutions.

Job title: Chief Agentic Quality Architect

Type: Full-Time | Contract

Location: Remote

Role Overview

Equity Partners builds profitable growth by acquiring and operating enterprise software companies — refining a proprietary operating model across 40+ acquisitions and two decades of hands-on experience, now supercharged by our patented agentic AI platform. We're hiring a Chief Agentic Quality Architect to lead the transition from traditional scripted testing to an AI-augmented quality ecosystem. In this role, you'll audit and rebuild our quality engineering foundations, deploy agentic automation across critical business flows, and build the guardrails needed to keep AI-generated code production-ready.

Key Skills

• 10+ years in QA automation engineering, SDET, or test architecture roles
• Expert-level proficiency in Playwright, Cypress, or Selenium
• Hands-on experience using LLMs (Claude, GPT-4, etc.) and agentic frameworks to generate code or automate workflows
• Deep understanding of integrating quality gates into AWS-based CI/CD pipelines or similar environments
• Architectural mindset, with the ability to design "Behavioral Snapshots" to safeguard critical business logic during rapid transformation

Responsibilities

• Conduct a comprehensive audit of the existing test estate across unit, integration, API, UI, sanity, and regression layers, producing a Current State & Gap Coverage Report
• Architect and own a phased quality engineering roadmap across two-week, one-month, and three-month delivery horizons
• Deploy agentic test generation — transforming business requirements into executable Playwright/Cypress scripts, generating synthetic test data, and implementing self-healing automation
• Design regression strategies and quality gates specifically tuned to catch hallucinations and logic errors in AI-generated code
• Build, mentor, and upskill a specialist QA team fluent in AI-assisted testing and agentic automation frameworks

If you're ready to rewrite the rules of quality for an AI-native world, we want you leading the charge.

Job Description for Business Development Executive 

Job Title: Business Development Executive 

Company: Mydbops  

Location: Bangalore

About Us:

Mydbops helps fast-growing teams and unicorns run mission-critical databases with speed, scale, and reliability. Trusted by 800+ clients, including 30+ unicorns, we optimize and manage systems like MySQL, PostgreSQL, MongoDB, MariaDB, TiDB, and Cassandra, powering 10B+ transactions daily across industries such as fintech, SaaS, healthcare, logistics, and e-commerce.

With 10 years of deep expertise, we build automation tools, lead complex migrations, and solve high-impact performance and database challenges. We are ISO and PCI-DSS certified, combining engineering excellence with enterprise-grade security and compliance.

Role Overview:

As a Business Development Executive, you will be responsible for generating leads, building client relationships, and supporting the sales team in achieving business goals. If you are a fresh graduate or have less than 1 year of experience and are eager to start your career in sales, we encourage you to apply.

Key Responsibilities:

• Assist in identifying new business opportunities and generating leads.
• Engage with clients through calls, emails, and CRM tools.
• Build and maintain strong customer relationships.
• Collaborate with the sales and marketing team to create proposals and presentations.
• Understand Mydbops' database services and solutions to communicate value to clients.
• Support senior sales staff with day-to-day activities.
• Handle customer queries and follow up with potential clients.
• Learn and apply sales techniques to achieve targets.

Qualifications:

• Basic knowledge of CRM tools and sales processes (training will be provided).
• Ability to work in a team and adapt to fast-paced environments.
• Willingness to learn and grow in the sales field.
• Bachelor's or Master’s degree in Business, Marketing, or a related field.
• 0-1 years of experience is required in the field. 

Skills required:

• Communication Skills - Clear and persuasive speaking and writing. 
• Active Listening – Understanding customer needs by listening carefully. 
• Customer Relationship Management (CRM) – Basic knowledge of CRM tools. 
• Negotiation Skills – Ability to find a win-win in discussions.
•  Problem-Solving – Handling customer objections and concerns effectively. 
• Product Knowledge – Understanding the product/service to explain its value. 
• Time Management – Prioritizing tasks efficiently. 
• Adaptability – Adjusting to customer behaviour and market changes.
•  Teamwork – Collaborating with others in sales and other departments.
•  Basic Analytical Skills – Interpreting data to understand trends and customer 

Why Join Us:

• Opportunity to work in a dynamic and growing industry.
• Learning and development opportunities to enhance your career.
• A collaborative work environment with a supportive team.

Job Details:

• Job Type: Full-time
• Work Days - Monday to Friday 
• General Shift - 9:30 AM to 6:30 PM
• Work Mode - Work from Office

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.

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

● Familiarity with Mirth Connect for building, managing, and supporting integrations 

● 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

● 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 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

We are looking for a skilled Java Full Stack Developer with 5+ years of experience in designing and developing scalable web applications. The ideal candidate should have strong expertise in Java, Spring Boot, Angular, and AWS, along with experience building RESTful APIs and cloud-based applications.

Key Responsibilities

• Develop and maintain scalable backend services using Java 8/11/17 and Spring Boot.
• Build responsive front-end applications using Angular.
• Design and develop RESTful APIs and integrate with third-party services.
• Deploy and manage applications on AWS.
• Work with relational databases and write optimized SQL queries.
• Collaborate with cross-functional teams in an Agile environment.
• Write clean, maintainable, and testable code.
• Troubleshoot, debug, and optimize application performance.

Required Skills

• 5+ years of experience in Java development.
• Strong experience with Java, Spring Boot, and Microservices.
• Hands-on experience with Angular (v10+).
• Experience with AWS services (EC2, S3, RDS, Lambda, ECS/EKS, CloudWatch, IAM, etc.).
• Strong knowledge of REST APIs.
• Experience with SQL (MySQL/PostgreSQL) and ORM frameworks such as Hibernate/JPA.
• Knowledge of Git, Maven/Gradle, and CI/CD pipelines.
• Familiarity with Docker and Kubernetes is a plus.
• Good understanding of Agile/Scrum methodologies.

Employment Type: Full-time

Job Summary

Responsibilities

Systems Thinking & Architecture

•      Maintain a holistic view of the full technology stack, including how services, data layers, APIs, and infrastructure interact

•      Identify architectural risks, bottlenecks, and opportunities for improvement before they become problems

•      Contribute to and document architectural decisions that guide the team over time

Feature Ownership

•      Own features and feature groups from discovery through delivery and ongoing monitoring

•      Break down complex features into well-scoped engineering stories with clear acceptance criteria

•      Help developers understand their individual parts and how each part fits into the larger whole

Design & Implementation

•      Design and implement new components across the stack: backend services, APIs, frontends, mobile, and data layers

•      Refactor and improve existing components for clarity, performance, and long-term maintainability

•      Apply appropriate design patterns and keep solutions as simple as the problem allows

Code Quality

•      Conduct thorough, constructive code reviews that improve quality and spread knowledge across the team

•      Hold the team to high standards for test coverage, observability, and documentation

•      Champion coding standards and contribute actively to engineering guidelines

Mentorship & Team Growth

•      Coach and mentor junior and mid-level engineers through pairing, reviews, and direct feedback

•      Create a supportive learning environment where engineers grow in capability and confidence

•      Contribute to team processes, retrospectives, and a culture of continuous improvement

Principal Architect.

Architecture: Microservices, Event-Driven, Serverless, Service Mesh, Multi-tenancy, API Gateway.

DevOps/IaC: Terraform, Kubernetes (EKS/AKS/GKE), Helm, Jenkins/GitHub Actions, ArgoCD, MLOps.

Monitoring/Performance: OpenTelemetry, Datadog/New Relic, Chaos Engineering, Load Testing (k6/JMeter).

Networking/Security: VPC, Zero Trust, IAM, WAF, OAuth2/OIDC, DevSecOps.

We are seeking a Java Engineer (6- 10 year's experience) in Bangalore/Gurgaon to drive modernization of enterprise financial platforms. You will lead cloud migration (AWS), integrate AI, and develop high-performance backend systems focusing on cleared derivatives, risk management, and margin optimization.

•Experience: 6 to 10 Years

•Location: Bangalore / Gurgaon

•Mode of Work: Full-Time

•Key Responsibilities

Backend Development: Build high-performance, low-latency services using Java 8/11/17+ and Spring Boot.

•Cloud Migration: Execute on premises to AWS cloud migration initiatives.

•Derivatives Focus: Implement complex business logic for cleared derivatives, covering trade matching and regulatory reporting.

•AI Integration: Implement AI pipelines for automated financial data processing.

•Architecture: Utilize AWS services (Lambda, ECS, S3, RDS, Kafka).

Required Technical Skills

•Java & Spring: Advanced Core Java, Spring Boot, Spring Security, JPA/Hibernate.

•AWS: Strong experience in AWS cloud infrastructure and security.

•Databases: Expert-level SQL (Oracle/PostgreSQL).

•DevOps: Experience with Docker, Kubernetes, and migration patterns.

Must-Have Qualifications

•Domain expertise in Cleared Derivatives (Futures & Options, Clearing Houses).

•Experience designing scalable microservices.

Nice-to-Have Skills

•Experience with Generative AI or Agent builders.

•Knowledge of Infrastructure as Code (Terraform).

Soft Skills

•Strong analytical, problem-solving, and communication skills.

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.

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)

Basic event feed backend structure

2. Media item status model

3. Redis cache workflow for event feed

4. Basic Fast Lane upload processing flow

5. trigger_type and highlight_triggers backend structure

6. One sample admin-triggered workflow, for example goal or full-time

7. Status transition from provisional_ready to ready / pending_review / blocked

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

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)