1,067 Docker Jobs in India

Job Description – Java Full Stack + DevOps Engineer

Position

Java Full Stack + DevOps Engineer

Hiring Requirement

HR: Gangadharam

Experience

8+ Years

Location

Bangalore & Hyderabad

Role Overview

We are looking for an experienced Java Full Stack + DevOps Engineer with strong expertise in Java, React or Angular, DevOps, Virtual Machines, Docker, and Kubernetes.

The ideal candidate should have strong hands-on experience in Java application development along with frontend technologies and containerization/deployment practices.

Mandatory Skills

• Java – Strong hands-on experience
• React or Angular – Frontend development experience
• DevOps – Good understanding of CI/CD and deployment practices
• Virtual Machines (VM)
• Docker
• Kubernetes

Key Responsibilities

• Design, develop, and maintain scalable applications using Java.
• Develop and integrate frontend applications using React or Angular.
• Work closely with DevOps teams to build and maintain CI/CD pipelines.
• Deploy and manage applications in Virtual Machine environments.
• Containerize applications using Docker.
• Deploy, manage, and troubleshoot applications using Kubernetes.
• Work on application performance, scalability, availability, and reliability.
• Collaborate with cross-functional teams including developers, DevOps engineers, and architects.
• Troubleshoot production and deployment-related issues.
• Follow best practices for coding, containerization, deployment, and application security.

Candidate Requirements

• 8+ years of IT experience with strong Java development experience.
• Hands-on experience in React or Angular.
• Strong understanding of DevOps concepts and practices.
• Experience working with VMs, Docker, and Kubernetes.
• Good understanding of application deployment and container orchestration.
• Strong communication and problem-solving skills.

Job Details

HR: Gangadharam

Role: Java Full Stack + DevOps Engineer

Experience: 8+ Years

Location: Bangalore & Hyderabad

Key Skills: Java + React/Angular + DevOps + VM + Docker + Kubernetes

About Solutionara

Solutionara is a U.S.-based IT Consulting and Technology Services firm with a Global Delivery Center (GDC) in Noida, India. We are a fast-scaling firm that works with high ownership, lean teams and disciplined execution, and we are evolving toward an AI-enabled delivery model focused on enterprise integration, digital transformation and scalable technology solutions for global clients.

Role Overview

As a PHP Developer – Pimcore & Symfony, you will design, develop, enhance and support enterprise applications and digital experience solutions using Pimcore, Symfony and PHP. You will customize Pimcore, build integrations and APIs, work with complex product and digital asset data, and collaborate with Solution Architects, Tech Leads, PMs, QA and DevOps in a client-focused consulting environment.

Location: Noida, Sector 62 (Full-time, On-site)

Experience: 3–6 years

Key Responsibilities

Pimcore Development

• Design, develop, customize and maintain enterprise solutions using Pimcore.
• Configure and extend Data Objects, Assets, Documents, Class Definitions, Relations and Workflows.
• Develop PIM and DAM capabilities for complex product information and digital assets.
• Build custom Pimcore bundles, services, event listeners and extensions.
• Develop product-data models, classifications, attributes, validation rules and workflows; support bulk import/export and data synchronization.
• Work with Pimcore DataHub, REST APIs and GraphQL; integrate Pimcore with ERP, CRM, eCommerce, marketplaces and third-party platforms.

PHP & Symfony Development

• Build scalable backend applications and services using PHP 8+ and Symfony.
• Apply strong OOP, MVC, design patterns and clean-code principles.
• Build and consume RESTful APIs; work with Composer, dependency injection, Symfony services, events and console commands.
• Optimize application performance, database queries, caching and backend processing.

Data & Integration

• Work with MySQL/MariaDB and relational data models.
• Develop integrations for product, customer, asset and reference data across enterprise systems.
• Implement data validation, transformation, mapping, error handling and reconciliation; troubleshoot data-quality issues.

Quality, Delivery & Collaboration

• Participate in Agile/Scrum ceremonies – sprint planning, estimation, stand-ups and retrospectives.
• Perform unit testing, debugging, peer code reviews and root-cause analysis.
• Support deployments, production troubleshooting and post-release activities.
• Follow secure coding, version control and documentation best practices.
• Contribute to technical design discussions and guide junior developers where appropriate.

AI-Enabled Engineering

AI is part of how we build. You should be comfortable using AI-assisted development tools to improve coding, testing, debugging, documentation, code reviews and productivity – while reviewing and validating AI-generated output before it reaches production.

Required Qualifications

• 3–6 years of professional PHP development experience.
• Hands-on development experience with Pimcore (Data Objects, Assets, Documents, Class Definitions).
• Strong experience with Symfony and PHP 8+.
• Experience developing or supporting PIM and/or DAM solutions.
• Strong understanding of OOP, MVC, design patterns and clean coding.
• Experience building RESTful APIs and integrating enterprise systems.
• Strong SQL skills with MySQL or MariaDB; experience with Git.
• Experience debugging application and integration issues in Agile environments.

Preferred Skills

• Pimcore: Workflows, DataHub, GraphQL, Import/Export, product-data modeling.
• Backend: Composer, JSON, OAuth/JWT, queues/background processing.
• Frontend exposure: JavaScript, HTML5, CSS3, Bootstrap/Tailwind, Twig, React or Vue.js.
• Database & caching: PostgreSQL, Redis.
• DevOps: Docker, Linux, Apache/Nginx, CI/CD pipelines.
• Cloud: AWS, Azure or GCP.
• Experience in IT consulting/technology services, eCommerce, CMS, enterprise integrations or multi-client environments.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.

IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.

AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine strong software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

• Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
• Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
• Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
• Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
• Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
• Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
• Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
• Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
• Lead technical discussions and design reviews with US client stakeholders.
• Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications

• 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
• Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
• Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
• Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
• Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
• Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
• Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
• Excellent written and spoken English, documentation, and stakeholder management skills.
• Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

• Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Azure AI Search or equivalent retrieval tools.
• LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
• Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
• Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
• Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

• Designing secure, scalable, production-ready AI solutions rather than demos or conceptual presentations.
• Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
• Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
• Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

• Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
• Working schedule: 3:00 PM – 12:00 AM IST.
• Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

• Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
• Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
• Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
• Lead a technical design review with US client stakeholders.
• Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

• Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
• Proficiency in IaC tools such as Terraform and/or CloudFormation.
• Solid scripting skills in Python, Bash, or equivalent for automation tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
• Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
• Strong troubleshooting mindset and experience resolving production-level issues.
• Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

• AWS certifications (e.g., SysOps Administrator).
• Experience with containerization (Docker, Kubernetes/EKS/ECS).
• Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
• CI/CD pipeline, infra pipelines.
• AWS services like compute, network, storage, security.
• Migration experience like Discovery/Assessments, TA, Infra Design.

Role Overview

We are looking for an experienced Technical Lead with strong full-stack development expertise and proven team leadership skills to drive technical delivery, architecture, and application development.

Key Responsibilities

• Lead and mentor the development team.
• Design scalable application architectures and REST APIs.
• Drive hands-on development, code reviews, and technical decision-making.
• Manage task allocation, delivery timelines, and code quality.
• Collaborate with cross-functional teams to deliver business solutions.

Required Skills

• Strong hands-on experience in React.js, Node.js, Angular, PostgreSQL, and Docker.
• Expertise in REST APIs, application architecture, and database optimization.
• Minimum 5 years of team-handling experience.
• Strong problem-solving, communication, and leadership skills.

Preferred: Experience in manufacturing digital transformation, MES, ERP, Industry 4.0, or shop-floor digitization.

Experience: 8 – 12 Years 

Location: Mumbai 

Role and Responsibilities: 

1. Responsible and accountable for all sales and service management functions ensuring that they are delivered in line with standard and operating model 

2. Provide leadership, ownership, and accountability for the developed application (supporting Sales & Service Delivery) and ensuring that the operating model is implemented and continually improved upon 

3. Develop, implement, monitor and report SLAs that are aligned to industry standards and best practices 

4. Responsible to drive integration amongst the teams from other support functions and sales for smooth delivery of accounts 

5. Responsible to coach the junior members of the teams. Provides guidance to resolve any issues in a time bound manner. Java Spring Boot: Spring Boot Data, Spring Boot Integration, Spring Boot Messaging, Spring Boot Web, Spring Boot Security, and Spring Boot AOP., MySQL, REST API, SOAP APIs, JavaScript, Angular, Tomcat, Drools, ELK, Docker, Kubernetes, MongoDBMobile Tech Lead React Native & Flutter, NodeJs Restful web services SQL and Databases HTML, CSS, JavaScriptUI UX Tech Lead HTML5, CSS3, Javascript, JQuery and Bootstrap to integrate and maintain front-end code. 

6. Responsive design principles and frameworks Web (W3), mobile and Google best practices/Standards cross browser/device testing and semantic markup Report Lead Power BI, Advanced Excel, Macros DevOps LeadDevOps engineer, Agile principles, Java, bash scripting, JBoss, Wildfly, tomcat, apache 

Must have: 

1. To develop, test and implement new software programs 

2. To ensure the software database is designed and updated 

3. To test and recommend software improvements 

4. To install, customize and integrate the commercial software packages independently 

5. Chatbot development 6. AI experience 

Technical Support Engineer: Application Maintenance

Company: Gemba ConnectExperience: 1–4 yearsOpenings: 2Location: [City / Hybrid]Type: Full-time

About the role

Gemba Connect builds and runs business applications (ERP, WMS, manufacturing and packaging) for clients across Worls . We're starting a new Maintenance Team to keep these applications reliable. In this role you will fix production issues, maintain code across several applications and review code before release.

What you'll do

• Respond to production incidents, find the root cause and ship fixes quickly

• Fix bugs and improve performance in Java/Spring Boot and React applications

• Review merge requests for code quality, security and performance

• Monitor application health and help prevent repeat issues

Required skills

• 1–4 years of hands-on development or production support experience.

• Java + Spring Boot (REST APIs, JPA/Hibernate, Spring Security/JWT): able to read and debug unfamiliar code quickly.

• JavaScript/TypeScript with React or Next.js.

• SQL (preferably MS SQL / Azure SQL): writing queries, reading execution plans, adding indexes.

• Git workflows: branching, merge requests, resolving conflicts.

• Basic Linux and command-line skills.

• Good debugging skills with logs and stack traces.

• Clear written communication, especially for incident updates and review comments.

Good to have

• Docker, Kubernetes or any cloud platform (Azure preferred)

• CI/CD tools like Jenkins or GitLab

• Monitoring tools like Grafana

Why join us

• Hands-on experience with production systems for real clients

• Work across many technologies: backend, frontend, cloud and DevOps

• A new team, so your work will shape how it's built

Job Summary

We are looking for an experienced Senior .NET Developer with strong hands-on expertise in .NET 8, .NET Core, C#, ASP.NET Web API, SQL Server, and Angular 15+. The ideal candidate should have experience developing scalable web applications, designing RESTful APIs, working with cloud platforms, and implementing CI/CD pipelines and infrastructure automation.

Mandatory Skills

• Strong hands-on experience with .NET 8, .NET Core, C#, and .NET Framework.
• Experience in developing and maintaining Web APIs and RESTful APIs.
• Strong knowledge of SQL Server, database design, and query optimization.
• Hands-on experience with Angular 15+.
• Experience with Docker and containerized applications.
• Working experience with at least one cloud platform: GCP, Azure, or PCF.
• Experience with CI/CD pipelines and deployment automation.
• Knowledge of Terraform for infrastructure as code.
• Experience with unit testing frameworks such as MSTest or xUnit.

Key Responsibilities

• Design, develop, test, and maintain scalable applications using .NET technologies.
• Build and integrate RESTful APIs and backend services.
• Develop responsive front-end applications using Angular 15+.
• Work with SQL Server for database development, optimization, and performance tuning.
• Deploy and manage applications using Docker and cloud platforms.
• Implement and maintain CI/CD pipelines for automated builds, testing, and deployments.
• Use Terraform to automate infrastructure provisioning and configuration.
• Write unit tests using MSTest or xUnit to ensure code quality and reliability.
• Troubleshoot technical issues, optimize application performance, and ensure security best practices.
• Collaborate with cross-functional teams, participate in code reviews, and contribute to technical design discussions.

Required Qualifications

• 6–12 years of experience in .NET application development.
• Strong problem-solving, analytical, and debugging skills.
• Good understanding of software development best practices and design principles.
• Ability to work independently and collaboratively in an Agile environment.

Job Summary

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

Key Responsibilities

• Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
• Handle production incidents, troubleshoot issues, and perform root cause analysis.
• Manage and automate infrastructure deployment and operational tasks.
• Work with CI/CD pipelines and container orchestration platforms.
• Implement monitoring, alerting, and observability solutions.
• Collaborate with development and operations teams to improve system reliability.
• Support cloud infrastructure, Linux environments, and production deployments.
• Identify recurring issues and implement preventive measures to reduce downtime.

We are looking for a Backend Engineer (SDE 2) to build scalable backend systems for EV charging infrastructure and energy management platforms. The role focuses on developing high-performance APIs, event-driven systems, and data pipelines that process EV telemetry, charging sessions, and energy analytics.

What You'll Own

- Design and develop scalable backend services and RESTful/WebSocket APIs.

- Build microservices using Go.

- Design and optimize databases for high-volume telemetry and charging-session data.

- Build event-driven systems and data pipelines using Kafka or similar messaging systems.

- Work on real-time and batch processing workflows for telemetry, energy metrics, and analytics.

- Improve application reliability, performance, monitoring, and observability.

- Deploy and operate services using Docker and Kubernetes.

- Participate in system design, architecture discussions, code reviews, testing, and technical documentation.

- Mentor and support junior engineers when required.

Required Qualifications

- 3 - 5+ years of backend development experience building scalable APIs and microservices.

- Strong proficiency in Golang.

- Strong understanding of PostgreSQL, MongoDB, or other relational/NoSQL databases.

- Experience with query optimization, indexing, schema design, partitioning, or replication.

- Experience building event-driven or distributed systems using Kafka or similar messaging systems.

- Familiarity with GCP or other cloud platforms.

- Experience with Docker and Kubernetes.

- Experience with monitoring and observability tools such as Grafana, Kibana, or ELK.

- Strong understanding of system design, scalability, and performance optimization.

- Experience writing clean, maintainable, testable code with unit and integration tests.

Nice to Have

- Experience working with EV charging, energy management, mobility, or IoT platforms.

- Experience processing high-volume telemetry or time-series data.

- Experience with real-time data processing and analytics pipelines.

- Experience with WebSockets or other real-time communication protocols.

- Experience with CI/CD and production infrastructure.

- Experience working with distributed systems at scale.

Why Join Us

- Build backend infrastructure powering EV charging and energy platforms.

- Work on distributed systems, real-time data, and high-volume telemetry.

- Solve challenging problems around scalability, reliability, and performance.

- Take meaningful ownership of production systems and technical decisions.

Fifteen professional sports teams use our product every day. You would be the engineer who owns it.

Pixology is an AI-native platform for the sponsorship economy. Sports teams use us to turn their sponsorship inventory and a brand's objectives into visual concepts, tailored pitches and the films that win deals. Work that used to take a designer two weeks now takes hours.

We are live with fifteen teams across nine leagues, including clubs in the NFL, MLB, NBA, NHL and MLS. Three founders, out of MIT. You would be our first engineering hire in India.

THE HONEST VERSION OF THIS JOB

Our CTO built this platform largely with AI coding tools. It works. Real customers, real usage, real revenue. It also has the shape you would expect from that: patterns that differ between files, test coverage that is thin in places, and decisions nobody wrote down.

You are not joining to maintain somebody's tidy codebase. You are joining to take ownership of a working product that needs a proper engineer's hands on it, and then to build the next two years of it.

If that reads as a problem, this is not your role. If you have inherited a system before and found the archaeology satisfying, keep reading.

WHAT YOU WILL OWN

The whole stack. Frontend, backend services, database, API integrations. There is nobody else to hand a ticket to.

Applied AI. Generative models that turn sponsorship inventory and brand context into visual concepts and pitch material. Production AI, not a demo.

Evaluation infrastructure. Harnesses and regression tests that let us compare models, validate prompt changes, and track output quality, latency and inference cost. This barely exists today and it matters more every month.

The media pipeline. Timeline-based video editing. Clip trimming and sequencing, transitions, audio synchronisation, rendering and export. Genuinely hard engineering, and the part customers notice most.

Shipping. Design, build, test, deploy. Customer bugs come to you.

WHAT WE ARE LOOKING FOR

Around five years building production software, with real ownership of something live.

Strong across the stack, with a view on where logic belongs rather than just the ability to write both halves.

You have inherited a codebase you did not write and made it better without rewriting it.

Working knowledge of LLM APIs and the practical tradeoffs: cost, latency, reliability, evaluation.

You debug well. Given an unfamiliar system and a failing case, you find the cause rather than the symptom.

Nice to have: media processing (FFmpeg, rendering pipelines), computer vision, evaluation tooling, early-stage experience, any interest in sport.

COMPENSATION AND SETUP

40 to 50 LPA, all cash. No equity, and we would rather say so now than in your third interview. We have taken the view that we would rather pay you properly today than hand you a number on a slide that may be worth nothing in four years.

Hybrid. At least one day a week together in our Basavanagudi office, the rest is yours. If you live in South Bengaluru, you never touch the Outer Ring Road.

HOW TO APPLY

No CV screen. Answer these two questions and we will read every one.

1. Describe a codebase you inherited that you did not respect. What did you change first, and what did you deliberately leave alone?
2. Tell us about a production bug where the cause was not where you first looked. How did you find it?

We are looking for a hands-on Engineering Lead who can own backend engineering, DevOps, and delivery management.

This is not a coordination-only role. You will contribute technically while establishing the processes, accountability, and

operating rhythm needed for predictable delivery. You will manage multiple engineers and effectively use AI coding

agents and automation tools to improve the team's output without compromising quality.

Key Responsibilities

• Own the architecture, development, deployment, and reliability of our backend systems.

• Lead engineers through clear goals, task breakdowns, ownership, reviews, and regular feedback.

• Establish a process-oriented delivery system covering planning, estimation, execution, testing, release, and

retrospectives.

• Translate product requirements into technical plans, milestones, dependencies, and measurable deliverables.

• Track execution proactively, identify delivery risks early, and communicate status clearly.

• Remain hands-on with critical development, debugging, architecture, code reviews, and production issues.

• Own CI/CD, infrastructure, observability, deployment practices, and operational readiness.

• Improve engineering quality through coding standards, automated testing, documentation, and review processes.

• Delegate work effectively across team members according to their strengths and development needs.

• Use AI coding agents and engineering automation to parallelise suitable work, while reviewing and validating all

outputs.

• Build a culture of accountability in which work has clear owners, acceptance criteria, deadlines, and definitions of

done.

• Collaborate closely with product and business stakeholders to balance speed, scope, quality, and technical debt.

What We Are Looking For

• 6+ years of backend engineering experience.

• At least 2 years of experience leading or managing an engineering team.

• Strong hands-on backend development experience with Python, FastAPI, Django + Django REST Framework, and

PostgreSQL.

• Practical experience with cloud infrastructure (AWS), DevOps, CI/CD, containers (Docker), monitoring, and

production operations.

• Experience working in a mature, process-oriented engineering environment.

• Demonstrated ability to improve delivery predictability and engineering throughput.

• Strong understanding of agile planning, estimation, sprint execution, incident management, and retrospectives.

• Ability to manage multiple people and concurrent streams of work.

• Experience reviewing architecture, pull requests, test plans, and production-readiness requirements.

• Strong written and verbal communication skills.

• Ability to give direct, constructive feedback and hold team members accountable.

• Sound judgement about when to build, delegate, automate, or reduce scope.

Tech Stack

Must-have: Python, FastAPI, Django + Django REST Framework, PostgreSQL, SQLAlchemy (async) + asyncpg, Pydantic,

REST API design + JWT authentication, Docker, AWS (ECS, ALB, ECR, CloudWatch, S3, Secrets Manager), Git.

Strongly preferred: Redis, Elasticsearch / OpenSearch, WebSockets, Payment gateways (Razorpay / Cashfree), Third-

party / ERP integrations, CI/CD (AWS CodeBuild or GitHub Actions).

Nice-to-have: Frappe / ERPNext + MariaDB, Microservices architecture, PostHog / CleverTap / Firebase, B2B e-commerce

or order management experience.

AI-Assisted Engineering

The ideal candidate should be comfortable incorporating AI into the software-development lifecycle. This includes:

• Breaking work into tasks that can be delegated safely to coding agents.

• Running multiple human and agent-led workstreams concurrently.

• Providing agents with clear context, constraints, and acceptance criteria.

• Reviewing generated code for correctness, security, maintainability, and architectural fit.

• Using automation to accelerate testing, documentation, refactoring, and operational workflows.

• Measuring whether AI tooling produces genuine delivery improvements.

We do not expect blind reliance on generated output. The Engineering Lead remains accountable for the quality and

correctness of everything shipped by the team.

Success in the First 90 Days

• Understand the existing architecture, infrastructure, team capabilities, and delivery bottlenecks.

• Take ownership of backend and DevOps execution.

• Introduce a consistent planning, tracking, review, and release cadence.

• Establish visibility into ownership, progress, dependencies, and delivery risks.

• Improve CI/CD, testing, monitoring, and production-readiness practices.

• Create an effective delegation model across engineers and AI agents.

• Deliver at least one meaningful product or platform milestone predictably from planning through production.

Nice to Have

• Experience scaling an early-stage or growing engineering team.

• Experience hiring, mentoring, and performance-managing engineers.

• Experience with infrastructure as code, security practices, and cloud-cost optimisation.

• Experience managing migrations, reliability improvements, or legacy-system modernisation.

• Previous experience introducing AI-assisted development workflows into an engineering team.

Who Will Succeed in This Role

You are likely to succeed if you are equally comfortable discussing architecture, reviewing code, resolving a production incident, planning a release, and having an accountability conversation with an engineer. You bring structure without creating unnecessary bureaucracy and know how to turn product priorities into consistent, high-quality delivery.

Job Description

The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.

Responsibilities

• Support onboarding and technical discussions with development teams.
• Provide technical guidance and documentation.
• Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
• Improve platform code, processes and documentation.
• Provide production infrastructure/operations support, including on-call support.
• Research product requirements and new technology rollouts.

Core Mandatory Skills

Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

We are looking for a Senior Full-Stack Developer with strong experience in modern web and mobile application development.

Requirements:

* 4+ years of full-stack development experience

* Strong Node.js, TypeScript and React.js

* Hands-on React Native experience

* Strong PostgreSQL, Redis and REST API knowledge

* Experience with WebSockets and real-time systems

* Good knowledge of AWS, Docker and CI/CD

* Experience with third-party API integrations

* Strong understanding of scalable architecture and application security

* Experience with GPS/geolocation or real-time applications is a plus

* Strong problem-solving and debugging skills

* Ability to work independently and deliver within tight timelines

* Experience taking applications from development to production

Preferred: Experience in taxi, logistics, delivery, marketplace or booking platforms.

**Please apply directly through our careers page**

Who We're Looking For

We are looking for engineers who share our passion for technology and rise to meet hard technical challenges. Individual contributors who thrive in a collaborative culture and a strong technical environment — self-starting, dynamic, and quick to pick up new technologies in order to deliver working solutions with minimal direction.

This is a backend-heavy full-stack role: you should be an engineer who is at home in distributed, server-side systems first, with the range to also work competently across the stack when a feature calls for it.

What You'll Do

We are seeking a Full-Stack Software Engineer to work closely with the architecture team on enhancements to Provenir's cloud-native, microservices-based decisioning engine (rules/graph-based execution).

This role requires deep, hands-on backend expertise and extends into full ownership of features end to end — from service design through UI integration and deployment.

• Design, build, and evolve microservices for Provenir's decisioning engine using Core Java and Spring Boot.

• Design and implement synchronous and asynchronous REST APIs that power decisioning workflows across the platform.

• Apply multi-threading and performance-tuning techniques to keep high-throughput decisioning services fast and reliable at scale.

• Build and maintain event-driven integrations using Kafka and ActiveMQ (or equivalent message queuing technologies) to support distributed, asynchronous processing.

• Model and manage data across relational and NoSQL stores (MySQL, MongoDB) using ORM tools such as Hibernate, Ebeans, or OpenJPA.

• Practice test-driven development, writing and maintaining unit tests as a core part of the delivery process.

• Containerize and deploy services with Docker and Kubernetes, working within a single-region, multi-AZ

AWS deployment architecture, and contribute to CI/CD pipelines (Git, GitHub Actions, Jenkins, Terraform, Datadog).

• Own features across the full SDLC — design, testing, implementation, deployment, and maintenance — in partnership with the architecture team.

• Build and maintain Angular or React or any frontend framework components and modules that surface decisioning workflows and configuration screens, integrating cleanly with backend REST APIs.

• Contribute to responsive UI work using TypeScript, HTML5/CSS3, and frameworks such as Material-UI, Bootstrap, or Tailwind.

What's Required

Experience & Education

• Minimum of 5 years of professional software development experience — this is a firm minimum for the role.

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.

• Minimum 5+ years of hands-on experience with Core Java, Spring Boot, Angular or React or any frontend framework, AWS, multi-threading, and performance tuning.

• Proven experience designing, building, and deploying microservices architectures in cloud environments.

• 4+ years designing and developing synchronous and asynchronous REST web services.

• Experience with message queuing technologies such as Kafka, ActiveMQ, or equivalent.

• 4+ years working with ORM tools (Hibernate, Ebeans, or OpenJPA) across relational and NoSQL databases (MySQL, MongoDB).

• 4+ years of test-driven development and unit testing practice.

• Solid grounding in OOA/OOD and design patterns — knowing where, why, and how to apply them.

• Hands-on experience with AWS, containerization and orchestration (Docker, Kubernetes), and CI/CD tooling (Git, GitHub Actions, Jenkins, Terraform, Datadog).

Full-Stack / Frontend Exposure

• Working knowledge of Angular or React or any frontend framework, with hands-on experience integrating front-end applications with backend REST services.

• Practical, hands-on experience with HTML5, CSS3, and responsive UI frameworks such as Material-UI, Bootstrap, or Tailwind.

Nice to Have

• Experience with Scrum/Agile development methodologies.

• Unix/Linux operating system knowledge.

• Broader exposure to event-driven and distributed system design beyond core messaging integration.

• Exposure to systems supporting ML/DL/AI model training, testing, or execution within a production product stack.

Why You Should Join Us

Our employees are empowered to be curious, forward-thinking engineers. We ask them to explore the uncharted and build the unimagined — that's what makes Provenir unique.

We offer comprehensive health and wellness plans. You'll enjoy paid time off and company holidays, flexible and remote-friendly options, along with benefits to plan for your future.

At Provenir, you'll be part of a dynamic, growing team that prides itself on building highly innovative, adaptable, and configurable software solutions, in a collaborative culture and strong technical environment.

To learn more,

visit www.provenir.com.

Equal Opportunity

Provenir is an Equal Opportunity Employer. We recognize that diversity and inclusion make our teams stronger,

and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, national

origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status,

citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply

Job Title : DevOps Engineer

Experience : 7+ Years

Working Hours : 3:30 AM – 11:30 AM ET

Duration : 12–18 Months

Engagement : Contract

Freelance : Not Applicable

BGV : Required

Role Overview :

We are looking for an experienced DevOps Engineer to design, implement, and optimize DevOps practices, CI/CD pipelines, deployment automation, and cloud-native delivery platforms. The role will focus on enabling secure, reliable, and efficient software delivery while improving infrastructure automation, release processes, platform reliability, and operational resilience.

Mandatory Skills :

DevOps, CI/CD, Azure DevOps / GitHub Actions, Kubernetes, Docker, PowerShell / Python / Bash, Automation, Monitoring & Observability, DevSecOps, IaC, Troubleshooting, and Production Support.

Key Responsibilities :

• Design, build, and maintain CI/CD pipelines for enterprise application delivery and release management.
• Develop deployment automation frameworks to improve release quality, consistency, scalability, and efficiency.
• Administer Kubernetes and containerized environments and supporting orchestration platforms.
• Improve build, test, deployment, and release workflows for development teams.
• Integrate automated testing, security scanning, validation, and compliance controls into CI/CD pipelines.
• Implement monitoring, logging, alerting, and observability solutions for platform and application environments.
• Troubleshoot deployment failures, production issues, and platform incidents; perform root cause analysis.
• Develop automation scripts and tools using PowerShell, Python, Bash, or similar technologies.
• Implement Infrastructure as Code and automation practices to reduce manual effort and operational risk.
• Collaborate with Cloud, Infrastructure, Security, and Application teams to deliver scalable and resilient solutions.
• Maintain deployment standards, release procedures, technical documentation, and operational runbooks.
• Apply DevOps, DevSecOps, and SRE best practices to improve delivery speed and platform reliability.
• Evaluate emerging DevOps technologies and recommend improvements.
• Mentor team members on DevOps methodologies, automation, and platform engineering practices.
• Act as an escalation point for critical deployment, infrastructure, and platform issues.

Required Technical Skills :

1. DevOps & CI/CD :

• 7+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Software Engineering.
• Strong experience designing and supporting CI/CD pipelines and release management.
• Hands-on experience with Azure DevOps, GitHub, GitHub Actions, or equivalent platforms.
• Strong understanding of Git, branching strategies, release management, and deployment methodologies.

2. Containers & Cloud :

• Strong hands-on experience with Kubernetes and Docker/containerization.
• Understanding of cloud-native application architectures and distributed systems.
• Experience supporting production-grade containerized environments.

3. Automation & IaC :

• Strong proficiency in PowerShell, Python, Bash, or similar scripting languages.
• Experience developing automation frameworks and deployment tooling.
• Knowledge of Infrastructure as Code (IaC) concepts.
• Experience with Terraform, Bicep, or similar tools is preferred.

4. Monitoring & Reliability :

• Experience with monitoring, logging, observability, and alerting.
• Strong troubleshooting and root cause analysis skills.
• Experience supporting highly available and resilient production systems.
• Knowledge of SRE practices is preferred.

5. Security & DevSecOps :

• Understanding of DevSecOps and secure software delivery practices.
• Experience integrating vulnerability scanning, security controls, and compliance checks into CI/CD pipelines.
• Knowledge of IAM, secrets management, and access control within DevOps environments.

Preferred Qualifications :

• Hands-on experience with Microsoft Azure.
• Experience with Terraform/Bicep or other IaC tools.
• Knowledge of SRE and platform engineering practices.
• Relevant Azure, Kubernetes, Cloud, or DevOps certifications.

🚀 HIRING: Senior .NET Specialist (8–12 Yrs) | Pune (Full-Time, Direct Payroll) 🚀

Tired of contract roles, 3rd-party payrolls, or endless copy-pasted keyword lists?

We are hiring a heavy-hitting .NET Specialist for a direct, permanent payroll position with a premier global mobility tech giant whose platforms manage over 1 million vehicles across 85+ countries.

If you love writing clean code, breaking down monoliths, and deploying to the cloud, let’s talk.

🔹 The Non-Negotiables:

• 8–12 years of core backend experience (with strong production-tested C# & .NET Core / .NET 8+).
• Hands-on experience designing Microservices and optimizing data layers with EF Core.
• Strong familiarity with containerization (Docker & Kubernetes) and cloud ecosystems (Azure, AWS, or GCP).
• Strong command over SQL Server or PostgreSQL.
• Strict adherence to SOLID principles and robust design patterns.

🔹 Why You'll Love It:

• Direct payroll placement with full product-company benefits and long-term stability.
• Modern cross-platform stack (.NET 8+) with zero legacy drag.
• Sponsored opportunities for Microsoft Certifications.

E-Commerce Technical Lead

Type: Full-Time    Experience: 5+ years    Location: Onsite, Bangalore

ABOUT THE ROLE

Y-NOT Design & Mfg is a promotional products, sourcing, and custom manufacturing organization serving Fortune 1000 brands and enterprise clients. Through BrandifyME, our E-Commerce division is focused on building the next generation of digital commerce for customized and branded products at scale.

The BrandifyME team owns the company’s digital commerce ecosystem, including storefront experience, product merchandising, supplier integrations, customization workflows, corporate stores, pricing synchronization, checkout experience, and large-scale operational e-commerce workflows. The team works across both customer-facing experiences and backend operational processes to create a scalable and efficient commerce platform built for enterprise-level sourcing and fulfillment.

The E-Commerce division works closely with the Automation team across multiple initiatives. While BrandifyME focuses on the commerce experience, digital operations, and platform execution, the Automation division develops the internal systems, AI-assisted infrastructure, workflows, and operational tooling that power and enhance those processes behind the scenes. Together, both teams collaborate to improve scalability, efficiency, operational visibility, and the future technology infrastructure of the organization.

Here is our website: https://y-not.com/

IN YOUR FIRST 6 MONTHS YOU WILL

▪       Take full ownership of BrandifyME's eCommerce stack: storefront, Shopify integrations, Sample Tracker, project workspace, and eCommerce-side middleware.

▪       Complete a structured knowledge transfer with the outgoing engineer and establish your own architectural baseline across the codebase.

▪       Review and approve all eCommerce engineering work before deployment; establish code-review standards the team follows consistently.

▪       Implement or lead at least one significant integration: Shopify, supplier, ERP (Odoo), shipping provider, or middleware, end to end.

▪       Coach full-stack developers through a structured growth plan toward senior-level engineering practice.

▪       Own on-call rotation for eCommerce production incidents and establish clear runbooks for the most common failure modes.

▪       Collaborate closely with the Automation Lead and Technical Manager to ensure clean handoffs at the eCommerce/Automation boundary.

▪       Contribute to hiring and onboarding the broader team as BrandifyME scales through Wave 1.

YOU'LL BE A FIT IF

▪       Experience with PHP Laravel-based applications and backend systems

▪       Exposure to Shopify/eCommerce platforms and related integrations

▪       Understanding of APIs, web technologies, and scalable application workflows

▪       Familiarity with AWS/cloud-hosted environments and deployment workflows is a plus

▪       Experience working in Agile/SCRUM-based engineering environments

▪       You have production experience with Shopify Plus or an equivalent eCommerce platform, you have personally owned integrations end to end.

▪       You are fluent in the full stack we use: Vite / React / TypeScript on the frontend; Supabase / PostgreSQL / Deno edge functions on the backend.

▪       You have strong PostgreSQL discipline: RLS, migrations, query performance and have shipped systems with real production surface area.

▪       You have built and operated REST/GraphQL integrations with retry logic, idempotency patterns, and webhook reliability.

▪       You have a proven track record coaching mid-level engineers toward senior-level practice, not just directing senior peers.

▪       You have worked in a startup or entrepreneurial environment and are comfortable with ambiguity, fast iteration, and a codebase that has 100+ migrations.

BONUS POINTS

▪       Experience with Odoo ERP integrations or promotional-products supplier APIs (ASI, PromoStandards, ESP).

▪       Familiarity with Cloudflare Workers / edge-function patterns at production scale.

▪       Experience building or scaling a zero-inventory / drop-ship commerce model.

This is a senior role in our Application & Database Modernization pillar, on a specific mission: leading a large-scale VMware-to-AWS migration and landing it in production. VMware estates are exactly where modernization programs go to stall — sprawling dependency graphs, undocumented workloads, and a hypervisor bill that grows while the migration deck gathers dust. Our customers need that estate moved, cut over, and retired, on a date in the contract.

You'll lead the design and implementation of the target infrastructure: Landing Zones built to AWS best practices, EKS-based container platforms, Infrastructure as Code across the stack with Terraform and CloudFormation, and HA, DR, security, and backup strategies that hold up in production. Aedeon absorbs the discovery, dependency-mapping, and validation grind that would otherwise consume the project's first two quarters. You own the judgment calls, architecture tradeoffs, cutover sequencing, risk decisions and you carry them through to production. You'll also mentor engineers and shape long-term infrastructure strategy with customer stakeholders. If you want your migration experience to end in retired VMware clusters rather than revised project plans, this is the role.

What you will do?

• Lead the design and implementation of infrastructure for a large-scale VMware-to-AWS migration — from discovery through production cutover.
• Architect and build secure, scalable, and highly available AWS environments, including Landing Zones that follow AWS best practices.
• Design and implement containerized application platforms on Amazon EKS; exposure to ECS is a plus.
• Implement Infrastructure as Code using Terraform and AWS CloudFormation.
• Define and enforce best practices across security, backups, high availability (HA), disaster recovery (DR), monitoring, and operations.
• Enable configuration management using tools such as Ansible, Chef, or similar.
• Build CI/CD pipelines and manage the complete build and release lifecycle for customer applications.
• Drive automation across provisioning, deployment, and operational workflows.
• Retire legacy infrastructure and land cloud-native architectures in its place.
• Improve and maintain DevOps platforms: Jenkins, Git repositories, monitoring, and observability stacks.
• Provide L3-level support for complex infrastructure and platform issues.
• Work with stakeholders on technical strategy and long-term architecture.
• Mentor engineers, contribute to talent evaluation, and support team development.

What are we looking for?

• 6+ years of hands-on DevOps experience, with strong expertise in designing and managing cloud infrastructure.
• Strong experience in VMware-to-AWS migration projects or large-scale infrastructure migrations.
• 4+ years of Terraform and CloudFormation for Infrastructure as Code (IaC).
• 4+ years in configuration management, systems engineering, and managing production-grade infrastructure.
• Solid Linux and/or Windows administration background.
• Deep understanding of AWS services, including VPC, EC2, IAM, EKS, ECS, RDS, S3, Backup, CloudWatch, etc.
• Experience with Kubernetes (EKS), ECS, and Docker in production environments.
• Hands-on experience designing HA, DR, security, and backup strategies.
• Experience with Landing Zone setup, multi-account strategy, and AWS governance frameworks.
• Proficiency in Git with a strong understanding of branching and merging strategies.
• Experience with CI/CD pipelines, automation, and operational tooling.
• A problem-solving mindset that's proactive and oriented toward reliability, performance, and scalability.

You will be preferred if

• Experience across multiple cloud platforms (AWS, Azure, GCP).
• AWS certifications such as Solutions Architect Associate/Professional or DevOps Engineer Professional.
• Exposure to data platforms such as Amazon EMR, Redshift, Lake Formation, and SageMaker.
• Experience designing cloud architectures at an L3/Architect level.

Technical Skills -

• 4–6 years of experience in Golang development, backend engineering, or automation testing. 
• Strong hands-on proficiency in Golang and backend development concepts. 
• Hands-on experience with Kubernetes and containerized environments. 
• Experience developing automation frameworks, unit tests, integration tests, and API validation tools using Go. 
• Strong understanding of distributed systems, system design, and cloud-native architecture. 
• Experience in validating backend services, REST/gRPC APIs, and Kubernetes-based platforms. 
• Familiarity with Docker, CI/CD pipelines, Jenkins, and GitHub Actions. 
• Knowledge of cloud-native observability tools such as Prometheus and Grafana. 
• Strong debugging, analytical, and problem-solving skills. 
• Ability to contribute to backend development, reliability improvements, and performance validation. 

Key Responsibilities -

• Develop automation frameworks, unit tests, integration tests, and validation tools using Golang. 
• Validate backend services, distributed systems, REST/gRPC APIs, and Kubernetes-based platforms. 
• Contribute to backend development, debugging, reliability improvements, and performance validation. 
• Work with cloud-native technologies such as Kubernetes, Docker, Prometheus, and Grafana. 
• Automate workflows and testing through CI/CD pipelines using Jenkins/GitHub Actions. 
• Collaborate with engineering teams to improve system quality, observability, and test coverage. 

Good to Have -

• Experience with infrastructure platforms or storage systems. 
• Exposure to AWS, Azure, or GCP. 
• Experience with performance, load, or resiliency testing. 
• Familiarity with Ginkgo, Gomega, or similar Go testing frameworks. 

Position Summary

We are seeking an experienced Senior Golang Developer with deep expertise in Kubernetes controllers and operators to join our Cloud & Infrastructure Engineering team. You will design, develop, and maintain robust Kubernetes-native applications and custom operators that power our clients' containerized infrastructure. You should have 4+ years of professional Golang experience with demonstrated proficiency building production-grade Kubernetes controllers and operators.

Key Responsibilities

Design and develop custom Kubernetes controllers and operators to extend platform functionality

Write clean, efficient, maintainable Golang code following industry best practices and design patterns

Implement and manage Custom Resource Definitions (CRDs) for Kubernetes platforms

Develop API clients and libraries for Kubernetes resource management

Collaborate with DevOps and Platform teams to integrate operators into production environments

Implement comprehensive unit and integration testing strategies for controller logic

Troubleshoot and debug complex issues in Kubernetes environments

Contribute to architectural decisions and technical documentation

Mentor junior developers and participate in code reviews

Required Qualifications

4+ years of professional experience developing applications in Golang

2+ years of hands-on experience building and maintaining Kubernetes controllers and/or operators (e.g., using Kubebuilder, Operator SDK, or controller-runtime)

Strong understanding of Kubernetes architecture, APIs, and resource management

Proficiency with Custom Resource Definitions (CRDs) and API conventions

Experience with containerization technologies (Docker, container registries)

Solid understanding of concurrent programming and goroutines

Experience with version control systems (Git) and CI/CD pipelines

Demonstrated ability to write unit tests and integration tests

Primary Skills:

Python / Golang, RESTful APIs, Docker, Kubernetes, Linux

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Primary Skills:

Python / Golang, RESTful APIs, Docker, Kubernetes, Linux

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Primary Skills:

Python / Golang, RESTful APIs, Docker, Kubernetes, Linux

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 1-2 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

ABOUT

The Persona Labs is building a new kind of social platform focused on something most social products do not explicitly optimize for: helping people become real friends.

We want to help people discover interesting people around them, find meaningful common ground, start low-pressure interactions, continue promising conversations, create shared experiences, and ultimately build real-life friendships.

DISCOVER → CURIOSITY → COMPATIBILITY → INTERACTION → UNDERSTAND → IRL EXPERIENCE → FRIENDSHIP

THE AI LAYER - COMPANION INTELLIGENCE

Alongside the platform, we are building a proactive personal AI companion that learns about the user and helps them navigate this journey through personalized recommendations, suggestions, reminders, conversations, and experiences. 

THE OPPORTUNITY

We are looking for a Founding ML Engineer to build the intelligence layer of the platform from the ground up. This is a 0→1 Applied AI / ML role where you will work directly with the founder and Product Engineer to turn ambiguous problems around users, relationships, recommendations and personal intelligence into working systems.

You will be expected to:

Understand the problem → identify the signals → design the intelligence system → prototype → evaluate → deploy → learn → improve.

WHAT YOU WILL BUILD & OWN

USER INTELLIGENCE

User representations, behavioural models, interests, preferences, contextual signals, and evolving understanding of the user. MEMORY Short- and long-term memory, episodic/preference/relationship memory, retrieval, relevance and updating.

RECOMMENDATION & MATCHING

People discovery, compatibility, activity/experience recommendations, and personalized ranking.

INTENT & INTEREST

Infer what the user is trying to do and learn what they care about from behaviour, not only declared interests.

RANKING

Decide what should appear first across potentially thousands of relevant people, activities or experiences.

CONTENT INTELLIGENCE

Classification, toxicity, spam, policy signals, quality, relevance, and semantic understanding.

RELATIONSHIP INTELLIGENCE

Reciprocity, interaction health, shared interests, progression, declining engagement and shared activity.

NEXT-BEST-ACTION

Determine the most useful action now: show a person, suggest a question, recommend an activity, reconnect, or do nothing.

TRUST / SAFETY INTELLIGENCE

Fake-account signals, spam, abuse, behavioural anomalies, risky interactions and moderation assistance.

COMPANION INTELLIGENCE

Use signals and outputs to help the companion decide what to say, suggest, recommend or not do. 

WHAT YOUR DAY-TO-DAY LOOKS LIKE

• Translate ambiguous product problems into ML/AI system designs.

• Build models and intelligence pipelines using behavioural, relational and contextual signals.

• Develop recommendation, matching and personalization systems.

• Design memory and retrieval systems that help the companion understand the user over time.

• Build and evaluate LLM-powered and agentic workflows.

• Decide when to use traditional ML, rules, retrieval, ranking or LLMs.

• Prototype quickly, test assumptions and iterate based on real user behaviour.

• Work closely with the founder and Product Engineer to turn intelligence into product experiences.

• Design APIs and production systems that bring ML/AI capabilities into the application.

• Build evaluation, monitoring and feedback loops so the intelligence improves over time.

WHO SHOULD APPLY

• Experience: 0–4 years’ experience, including exceptional fresh graduates. Strong 1–3 year engineers and experienced 3–4 year product builders are welcome.

• Strong foundations in ML, Python, statistics and software engineering.

• Evidence of Building: Experience with AI/ML projects, recommendation systems, LLM applications or personalization is highly valued.

• Strong evidence of building: Shipped projects, research, hackathons, internships, open source or startup work. 

WHAT WE LOOK FOR

MACHINE LEARNING DEPTH

Can you understand the modelling problem underneath the application?

RECOMMENDATION & PERSONALIZATION

Can you reason about relevance, ranking, cold start and behavioural signals?

AI ENGINEERING

Can you turn LLMs and agents into reliable product capabilities rather than simple API wrappers?

USER INTELLIGENCE

Can you design systems that gradually understand a person from sparse and changing signals?

SYSTEMS THINKING

Can you move from a model to a production system with APIs, data, latency, cost and monitoring?

EVALUATION MINDSET

Can you determine whether the intelligence actually helped the user?

PRODUCT JUDGMENT

Can you decide what the system should do when there is no predefined answer?

SPEED OF EXECUTION

Can you move from idea → prototype → evaluation → production quickly and responsibly?

BUILD WITH US

You will join at a stage where many of the answers do not exist yet. You will not simply implement a model someone else selected; you will help decide how the product learns to understand people.

CAREERS:

Apply with your resume, GitHub, portfolio or shipped work.

https://forms.gle/12YpUSBY2Sqs5xjp8

www.thepersonalabs.com

Job Title : DevOps / Infrastructure Engineer

Experience : 3+ Years

Location : Gurugram Sector 48

Work Mode : 6 Days WFO (Monday to Saturday) / 01st & 03rd Saturdays are off

Employment Type : Full-time

Role Overview :

We are looking for a DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, Jenkins, Docker, networking, bare-metal servers, AWS, Redis, and MongoDB. The candidate should be capable of independently troubleshooting infrastructure, deployment, networking, and application-related issues in production environments.

Mandatory / Non-Negotiable Skills :

• Strong hands-on experience with Linux Administration & Troubleshooting.Strong experience with Jenkins and CI/CD pipelines.
• Hands-on experience with Docker and containerized environments.
• Strong understanding of Networking concepts – TCP/IP, DNS, HTTP/HTTPS, ports, routing, firewalls, load balancing, etc.
• Hands-on experience with Bare Metal Servers / Server Administration.
• Strong hands-on experience with AWS (EC2, VPC, IAM, Security Groups, Load Balancers, S3 & CloudWatch)
• Working knowledge of Redis
• Working knowledge of MongoDB
• Strong production troubleshooting and incident-resolution skills

Key Responsibilities :

• Manage, configure, monitor, and troubleshoot Linux and bare-metal servers
• Build, maintain, and troubleshoot Jenkins CI/CD pipelines
• Deploy, manage, and troubleshoot applications using Docker
• Manage and troubleshoot AWS infrastructure and services
• Configure and maintain networking, security groups, firewalls, ports, and connectivity
• Support and maintain Redis and MongoDB environments
• Perform server health checks, log analysis, performance troubleshooting, and incident resolution
• Work closely with development teams to support application deployments
• Identify root causes of infrastructure and production issues and implement preventive solutions
• Maintain infrastructure security, availability, and reliability
• Automate repetitive operational tasks wherever possible

Required Candidate Profile :

• 3+ years of relevant experience in DevOps, Infrastructure, System Administration, or related roles.
• Strong hands-on / production experience with all mandatory technologies.
• Good understanding of Linux systems and infrastructure.
• Strong troubleshooting and problem-solving abilities.
• Ability to take ownership of production infrastructure and deployment issues.
• Good communication and collaboration skills.

• 6+ years of professional full-stack software engineering experience, with demonstrated ownership of production systems end-to-end (not just feature contribution within a large team).
• Backend: Strong proficiency in Python (FastAPI or Flask) — this is BuildTwin's primary backend language, used across the AI pipeline and application layer.
• Frontend: Strong proficiency in React and TypeScript, including building data-dense, interactive interfaces (dashboards, review workflows, file viewers) — not just CRUD forms.
• Database: Deep, hands-on experience with PostgreSQL — schema design, query optimization, indexing strategy, and multi-tenant data modeling.
• API design: Proven experience designing clean, versioned REST APIs, particularly ones serving as the integration layer between a backend/AI system and a frontend or third-party consumer.
• Cloud & DevOps: Production experience with AWS or Azure (compute, storage, queuing/messaging services), Docker, and CI/CD pipelines.
• Asynchronous & batch processing: Real experience with job queues (Celery, SQS, or equivalent) and designing systems that process work in parallel with proper failure isolation.
• Multi-tenant architecture: Direct experience building and securing systems that serve multiple isolated clients/tenants from shared infrastructure.

ABOUT

The Persona Labs is building a new kind of social platform focused on something most social products do not explicitly optimize for: helping people become real friends.

We want to help people discover interesting people around them, find meaningful common ground, start low-pressure interactions, continue promising conversations, create shared experiences, and ultimately build real-life friendships.

DISCOVER → CURIOSITY → COMPATIBILITY → INTERACTION → UNDERSTAND → IRL EXPERIENCE → FRIENDSHIP

THE AI LAYER

Alongside the platform, we are building a proactive personal companion that learns about the user and helps them navigate this journey through personalized recommendations, suggestions, reminders and experiences.

THE OPPORTUNITY

We are looking for a Founding Product Engineer to help build the platform from the ground up. This is a 0→1 product engineering role where you work directly with the founder and engineering team to turn ambiguous product problems into working software.

You will be expected to:

Understand the problem → explore solutions → make trade-offs → design → build → ship → measure → improve.

WHAT YOU WILL BUILD & OWN

MOBILE

Onboarding, profiles, discovery, interactions, messaging, activities, and companion experiences.

SOCIAL SYSTEMS

Relationships, social graph, compatibility, and interaction flows.

BACKEND

APIs, services, authentication, notifications, and background processes.

DATA

PostgreSQL models, user/activity data, analytics, and behavioural signals.

REAL-TIME

Messaging, live interactions, notifications, and event-driven workflows.

AI-ENABLED

Recommendations, personalization, and companion-powered experiences.

INFRASTRUCTURE

Cloud deployment, CI/CD, monitoring, reliability, and cost management.

WHAT YOUR DAY-TO-DAY LOOKS LIKE

• Build and ship mobile and full-stack product features end-to-end.

• Design APIs, database models, and backend services for a social product.

• Translate ambiguous product problems into simple, reliable technical solutions.

• Make architecture and engineering trade-offs for performance, scalability, security, and cost.

• Work closely with the founder, product/design team, and Companion Intelligence engineer.

• Prototype quickly, test assumptions, and iterate based on user behaviour and product feedback.

• Own features from problem → architecture → implementation → deployment → improvement.

• Help establish engineering practices around testing, monitoring, security, and reliability.

WHO SHOULD APPLY

• Experience: 0–4 years, including exceptional fresh graduates. Strong 1–3 year engineers and experienced 3–4 year product builders are welcome.

• Fundamentals: Strong CS/software engineering fundamentals.

• Evidence of Building: We value what you have built more than the number of years on your résumé. Shipped apps, strong side projects, hackathons, internships, open source, or startup work are highly valued.

• Mindset: High ownership, curiosity, strong fundamentals, clear communication, learning velocity, and the ability to work through ambiguity.

WHAT WE LOOK FOR

MOBILE CAPABILITY

Can you build and ship a polished mobile experience?

ENGINEERING DEPTH

Do you understand why a system works, not just how to make it run?

PRODUCT JUDGMENT

Can you determine what should be built when the problem is ambiguous?

ARCHITECTURE / SYSTEMS

Can you reason across APIs, databases, services, real-time systems, scale, and cost?

SPEED OF EXECUTION

Can you move from idea → prototype → production quickly without compromising fundamentals?

AI FAMILIARITY

Do you understand how modern AI can become a useful, reliable product capability?

BUILD WITH US

You will join at a stage where many answers do not exist yet. You will not simply implement someone else’s architecture, you will help decide what the architecture and product should become.

CAREERS:

Apply with your resume, GitHub, portfolio or shipped work.

https://forms.gle/12YpUSBY2Sqs5xjp8

www.thepersonalabs.com

About Company

We are building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.

About the Role

We are looking for a versatile, hands-on software engineer to join our growing team. You will work across embedded Linux systems, networking stacks, robotic middleware, and cloud-connected services. This role demands strong fundamentals, intellectual curiosity, and the ability to learn quickly — not just familiarity with buzzwords.

On-site, Bengaluru

Responsibilities

• Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
• Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS — for robot-to-cloud and inter-robot communication.
• Own CI/CD pipelines using ArgoCD, GitHub Actions, and containerized workflows to ship software to robots.
• Manage Docker-based deployment and runtime environments on robot and cloud infrastructure.
• Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
• Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
• Establish and enforce best practices around Git workflows, branching strategies, and code review.
• Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.

Requirements

All candidates must demonstrate solid, hands-on competency in every item listed below.

• Linux systems programming in C
• File I/O — read, write, seek, memory-mapped files
• Multi-threading — pthreads, mutexes, condition variables, thread safety
• Socket communication — TCP/UDP sockets, select/poll/epoll
• Basic data structures & algorithms — stack, heap, queue, linked list
• General comprehension ability — reading technical manuals, datasheets, and RFCs
• Python scripting
• Bash scripting
• Git — CLI usage, branching, merging, rebasing, conflict resolution
• Standard UML diagrams — flowchart, sequence diagram, deployment diagram
• Windowless text editor — vim, nano, or equivalent

Strong Advantage

• C++ programming — C++17, OOP, templates, STL
• Common network protocols — DHCP, ARP, TCP, UDP, DNS
• Network configuration — routers, switches, VLANs, subnetting
• Server-client application architecture
• P2P vs. centralised communication — DDS vs. MQTT
• Database management — SQL vs. NoSQL, schema design
• Network security — checksums (CRC, MD5, SHA), public-key encryption, digital signatures
• ROS2 framework — pub/sub, services, actions, lifecycle nodes, DDS transport
• CMake build system — targets, find_package, CTest integration
• Docker — Dockerfiles, docker-compose, remote image registries

Must-haves (non-negotiable)

• Strong Linux systems programming in C — multi-threading (pthreads), socket communication (TCP/UDP, epoll), and file I/O
• Hands-on experience with CI/CD pipelines (ArgoCD, GitHub Actions) and Docker-based deployments
• Networking expertise — TCP/IP stack, DHCP, DNS, iptables, inter-device communication
• Proficiency in Python and Bash scripting for fleet management and diagnostics
• ROS2 experience (pub/sub, DDS, lifecycle nodes) is a strong advantage

Looking for strong experience in Java, Spring Boot, Spring Cloud, Microservices, System Design, Kafka, Redis, Cloud, Docker & Kubernetes.

FinTech / Banking experience will be an added advantage.

Senior Software Engineer - I (Full Stack Developer) at Planview.

Location: Bengaluru, India

Experience: 6–10 Years

Work Mode: Hybrid — two days per week in the office (mandatory)

Team: Release and Verify Product Line

About the role

You will own full-stack feature delivery for Planview’s SaaS product line, working across backend services and frontend applications in a collaborative, hybrid environment.

Key responsibilities

• Design, build, and maintain full-stack features using C# / .NET Core and React.
• Design and implement RESTful APIs.
• Develop and maintain SQL Server schemas, queries, and stored procedures.
• Build automated end-to-end tests using Cypress and unit tests using Vitest.
• Manage Git/Bitbucket workflows, including branching, merging, rebasing, and pull request reviews.
• Build and maintain reliable CI/CD pipelines.
• Use AI-assisted engineering tools such as GitHub Copilot, Claude Code, or Cursor to support development, code reviews, and troubleshooting.
• Collaborate with QA, Product, and Design to deliver features end to end.
• Troubleshoot production issues with the DevOps team.
• Mentor junior engineers and contribute to engineering quality and review practices.

Required qualifications:

• 6–10 years of experience in full-stack software development.
• Strong experience with C# / .NET Core for scalable services and APIs.
• Strong experience building modern, responsive user interfaces with React.
• Experience with SQL Server schema design, queries, and performance fundamentals.
• Experience designing and integrating REST APIs.
• Proficiency with Git/Bitbucket, including branching strategies and pull request reviews.
• Experience building and maintaining CI/CD pipelines.
• Experience with Cypress for end-to-end test automation.
• Comfort using AI coding assistants in day-to-day software development. This may be evaluated during the interview process at the interviewer’s discretion.

Nice-to-have skills:

• Redis caching
• AWS or CloudFront
• ExtJS
• Vitest
• Docker
• AI/LLM integrations using Azure OpenAI, Semantic Kernel, or similar frameworks
• AI-powered code quality tools such as GitHub Copilot Autofix or SonarQube

Role: Fullstack .NET Engineer

Experience: 10-18 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

About the Role 

We are looking for an experienced Fullstack .NET Engineer to join our Pune engineering team. You will design, build, and maintain scalable, cloud-based applications end to end — from robust .NET Core APIs and services to responsive Angular front-ends deployed on AWS. Beyond hands-on delivery, you will help champion the responsible adoption of AI-assisted engineering practices across teams, raising the bar on productivity, quality, testing, documentation, onboarding, and delivery efficiency. 

This role suits a senior engineer who combines deep technical craftsmanship with strong communication and a collaborative mindset, and who is eager to shape how modern, AI-augmented software is built at scale. 

Key Responsibilities 

Design, develop, test, and maintain end-to-end features across the stack using .NET, .NET Core, and modern front-end technologies. 

Build and integrate secure, high-performance RESTful APIs and microservices. 

Develop responsive, maintainable user interfaces using Angular and modern JavaScript/TypeScript. 

Build, Deploy, and operate applications on AWS, leveraging core cloud services for compute, storage, messaging, and observability. 

Adoption of AI-assisted engineering practices across teams to improve productivity, code quality, testing, documentation, onboarding, and overall delivery efficiency. 

Write clean, well-tested, and well-documented code; contribute to automated testing and CI/CD pipelines. 

Collaborate closely with product managers, designers, and fellow engineers to translate requirements into reliable software. 

Participate in code reviews, technical design discussions, and continuous improvement of engineering standards. 

Mentor peers and help onboard new team members, sharing best practices and knowledge. 

Required Skills & Experience 

~10 years of professional software engineering experience in Fullstack development. 

Strong hands-on expertise in .NET and .NET Core with understanding of design patterns 

Proven experience in API development (RESTful services, microservices, integrations). 

Strong experience in Docker and Containerization  

Experience working with code quality tools (Ex.- SonarQube, Veracode),familiarity with secure code writing best practices 

Strong analytical and troubleshooting skills using tools like CloudWatch, Datadog. 

Solid front-end development skills with Angular and JavaScript/TypeScript. 

Practical experience building and deploying applications using AWS services. 

Strong understanding of software design principles, data structures, and testing practices. 

Hands-on experience with AI coding assistants and applying them within team workflows. 

Excellent communication skills — able to collaborate effectively and articulate technical concepts clearly. 

Experience working in Agile/Scrum delivery environments. 

Interest in and openness to adopting AI-assisted engineering tools and practices responsibly. 

Role:  Senior Software Developer – SDE3

Experience: 8-12 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

Job Description

We are seeking a highly skilled Senior Full-Stack Developer to design, develop, and deliver scalable, high-quality digital solutions. The ideal candidate combines deep expertise in modern microservices architecture, cloud platforms, and end-to-end feature delivery, with proficiency in agentic software development and a strong focus on engineering excellence, collaboration, and continuous innovation.

Responsibilities:

• Design and develop scalable, resilient applications using microservices architecture.

• Build end-to-end full-stack features, covering UI (React, TypeScript, Redux) and backend services.

• Develop Java (17+) / Spring Boot (3.x) microservices using Domain-Driven Design (DDD) and OpenAPI 3.x specifications.

• Implement event-driven architectures using Kafka, including topic design, consumer groups, and reliable message processing.

• Design optimized database schemas, write advanced SQL queries, and manage migrations using Liquibase within CI/CD pipelines.

• Lead low-level design (LLD) and define REST API and event contracts aligned with enterprise architecture standards.

• Conduct code reviews, enforce coding standards, and ensure high quality using SonarQube gates.

• Ensure high test coverage (>90%) using JUnit, Mockito, Testcontainers, Cucumber, Jest, and React Testing Library.

• Collaborate within Agile teams, mentor developers, and drive timely delivery of high-quality solutions.

• Leverage AWS, Docker, Kubernetes, CI/CD pipelines to improve productivity and system performance.

• Leverage AI-driven software engineering practices, including LLM-powered development tools, agentic AI workflows, code generation, automated testing, and AI-assisted debugging, to improve developer productivity, software quality, and delivery efficiency.

Required Qualification:

• Bachelor’s or Master’s degree in computer science, Information Technology, or a related field.

• Minimum 8 years of professional experience, including at least 5 years in full-stack development.

• Hands-on experience with microservices-based architecture and distributed systems.

• Strong understanding of functional programming, design patterns, and software architecture principles.

• Experience working in cloud environments (preferably AWS).

• Proficiency with CI/CD pipelines, Docker, and Kubernetes.

• Strong analytical thinking and problem-solving capabilities.

Must-Have Skills

• Strong proficiency in React.js, including Hooks, TypeScript, and state management using Redux Toolkit or React Query, along with testing frameworks such as Jest and React Testing Library.

• Extensive experience with Java 17+, Spring Boot 3.x, and the Spring ecosystem (Spring Cloud, Spring Security with OAuth 2.0), along with JPA/Hibernate.

• Hands-on experience with Apache Kafka, including topic design and managing consumer groups for event-driven architectures.

• Solid expertise in PostgreSQL, including schema design, performance tuning, indexing strategies, and database migration management using Liquibase.

• Proficiency in AI-assisted and agentic software development practices, with hands-on experience using AI coding assistants, autonomous development agents, and AI-enabled testing and code quality tools.

Good-to-Have Skills

• Experience with Redis, GraphQL, and AWS cloud services.

• Familiarity with AI-assisted development tools such as GitHub Copilot.

• Exposure to monitoring and observability tools like Kibana/ELK stack, Grafana, Glowroot, or Datadog.

• Experience working with modern development environments and IDEs (e.g., Kiro IDE).    

Job Title: Lead Software Engineer – Python

Experience: 5+ yrs

Job Location: Infopark, Kochi

Why Join Us?

• Innovative Environment: Join a forward-thinking company that encourages creativity and modern engineering practices.
• Career Growth: Ample opportunities for professional development, technical leadership, and career advancement.
• Collaborative Culture: Work in a cross-functional, team-oriented environment where your contributions directly shape infrastructure modernization.
• Competitive Compensation: Attractive salary package with performance-based incentives.

Key Responsibilities

API & Backend Development

• Design, build, scale, and maintain high-performance REST APIs and backend microservices using Python and FastAPI.
• Implement asynchronous workflows, robust data models, and scalable API integrations to interface with network infrastructure.
• Oversee code quality, establish engineering best practices, and conduct comprehensive code reviews to ensure reliability and maintainability.

Network Automation & Workflow Orchestration

• Design and build scalable, resilient network automation workflows using tools such as Netmiko, Nornir, and Ansible.
• Modernize manual network operations by automating provisioning, configuration management, and compliance checks.
• Integrate network automation tooling into continuous delivery pipelines to streamline deployment workflows.

Network Operations & Troubleshooting

• Apply deep networking fundamentals to diagnose, troubleshoot, and resolve complex issues across enterprise and data center networks.
• Interface with and manage configurations for routing, switching, firewalls, and core network protocols (TCP/IP, BGP, OSPF).

DevOps, CI/CD & Testing

• Implement and manage robust CI/CD pipelines to modernize deployment lifecycles and operational workflows.
• Drive automated testing suites to validate both network orchestration scripts and API endpoints prior to production deployment.
• Containerize services using Docker to support seamless local and production environments.

Technical Leadership & Mentoring

• Mentor engineering team members on network programmability, API development, and automation standards.
• Translate operational and infrastructure requirements into production-ready software solutions.

Required Skills

• 5+ years of hands-on software development experience with Python.
• Strong expertise in building high-performance RESTful APIs using FastAPI and modern asynchronous programming.
• Extensive hands-on experience with network automation frameworks and libraries, specifically Netmiko, Nornir, and Ansible.
• Deep networking fundamentals: TCP/IP, routing & switching, BGP, OSPF, and firewalls.
• Proven track record of replacing manual infrastructure operations with automated workflows and CI/CD pipelines.
• Strong proficiency with Git version control, collaborative development, and automated testing frameworks.

Preferred Skills

• Hands-on experience containerizing services using Docker and orchestrating multi-service environments.
• Exposure to enterprise network management systems, ITSM tooling (e.g., ServiceNow), and change management lifecycles.
• Familiarity with event-driven architecture or message brokers (e.g., Kafka, RabbitMQ).
• Experience with dependency management (Poetry) and pre-commit code formatting hooks.

Soft Skills

• Strong analytical, problem-solving, and root-cause troubleshooting abilities.
• Excellent written and verbal communication skills with the ability to bridge software engineering and network operations.
• Proactive, collaborative mindset with strong ownership over technical deliverables.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Network Engineering, or a related field (or equivalent practical experience).

* Design, develop, and maintain responsive websites and web applications.

* Build reusable frontend components using React.js.

* Develop scalable backend APIs and services using Node.js.

* Integrate third-party services and payment gateways such as Stripe.

* Build RESTful APIs and integrate with modern databases.

* Optimize applications for maximum speed, scalability, and SEO.

* Collaborate with designers to translate Figma/UI designs into pixel-perfect interfaces.

* Implement authentication, authorization, and security best practices.

* Debug production issues and improve application performance.

* Participate in code reviews and mentor junior developers.

* Work within Agile/Scrum development processes.

Job Role: Software Engineer – Backend & Cloud Infrastructure

Company: Appmaker by StarApps

Location: Kochi, Kerala (On-Site)

Experience: 3–6 Years

Employment Type: Full-time

About Appmaker by StarApps

At StarApps, we build high-scale tools like Appmaker(https://appmaker.xyz/) that empower thousands of global e-commerce merchants to turn their web stores into native mobile apps. We focus on low latency, cutting-edge serverless architectures, and building scalable software that handles millions of requests every day.

About the Role

We are looking for a Mid-Senior Backend & Cloud Infrastructure Engineer to join our core team on-site in Kochi. In this role, you will design, scale, and maintain high-throughput backend services and cloud infrastructure capable of supporting large user bases and handling millions of daily requests.

If you thrive in solving complex distributed system design challenges, optimizing cloud infrastructure, and taking ownership of core platform scaling, this role is for you!

Key Responsibilities

• Distributed Backend Systems: Architect, construct, and optimize core backend microservices and serverless applications built on Node.js and TypeScript.
• Cloud Infrastructure & DevOps: Manage, automate, and expand infrastructure across cloud platforms (AWS, GCP, or Azure) using IaC (Terraform, Ansible) and container technologies (Docker, Kubernetes).
• System Scalability & Performance: Design for high availability, implementing caching, load balancing, message queues, and database optimizations.
• Reliability & Observability: Troubleshoot complex production incidents, optimize system latency, enforce security standards, and maintain CI/CD and automated monitoring pipelines.
• Architecture Ownership: Own critical features and system components independently while collaborating on high-level architecture decisions.

What We’re Looking For

• Experience: 3–6 years of hands-on software development experience with a focus on backend software architecture, systems engineering, and infrastructure.
• Tech Stack: Strong mastery of Node.js, JavaScript, and TypeScript.
• Cloud & DevOps: Hands-on experience with Docker, Kubernetes, Terraform, Ansible, and major Cloud Providers (AWS, GCP, or Azure).
• Edge & Serverless: Deep understanding of serverless deployment models (Cloudflare Workers/D1, AWS Lambda, or equivalent).
• System Design & Databases: Advanced knowledge of system design, load balancing, caching strategies, asynchronous message queues, relational database optimization, and high-availability architecture.
• Engineering Standards: Strong experience with production CI/CD, observability tools, automated testing, and production troubleshooting.

Bonus Points

• Hands-on experience with the extended Cloudflare suite (KV, R2, Queues, Workers).
• Prior experience in SaaS product engineering, Shopify app ecosystems, or high-traffic global e-commerce platforms.
• 
  

Why Join Us?

• High Scale & Impact: Build software used by thousands of global brands and millions of end consumers.
• Modern Tech Stack: Work with cutting-edge serverless architectures and infrastructure automation platforms.
• Growth & Culture: Great engineering culture, high ownership, competitive growth, and direct technical leadership opportunities in our Kochi office.

Job Role: Software Engineer – Node.js & Serverless Systems

Company: Appmaker by StarApps

Location: Kochi, Kerala (On-Site)

Experience: 1–3 Years

Employment Type: Full-time

About Appmaker by StarApps

At StarApps, we build high-scale tools like Appmaker(https://appmaker.xyz/)  that empower thousands of global e-commerce merchants to turn their web stores into native mobile apps. We focus on low latency, cutting-edge serverless architectures, and building scalable software that handles millions of requests every day.

About the Role

We are looking for a hands-on backend/full-stack Software Engineer (Node.js / TypeScript) to join our engineering team on-site at our Kochi office. You will work directly on building high-performance APIs, web applications, and automated backend workflows using modern JavaScript/TypeScript and cloud technologies.

If you enjoy working with serverless tech, love writing clean code, and want to ship features that impact real businesses globally, this role is for you!

Key Responsibilities

• Core Application Development: Design, build, and maintain high-speed web applications, RESTful APIs, and backend microservices using Node.js and TypeScript.
• Serverless Development: Develop modern, low-latency applications leveraging Cloudflare Workers, Cloudflare D1, and edge serverless architectures.
• Database & Integrations: Write clean SQL queries, design optimized database schemas, handle authentication schemes, and integrate third-party APIs.
• Code Quality & Reliability: Write clean, testable, and maintainable code; debug performance issues; and maintain solid git-based workflows.
• Feature Ownership: Take end-to-end ownership of features—from understanding business requirements to coding, testing, deployment, and post-release monitoring.

What We’re Looking For

• Experience: 1–3 years of hands-on software development experience with JavaScript and TypeScript.
• Tech Stack: Strong proficiency in Node.js, JavaScript, TypeScript, and modern JS frameworks.
• Serverless Stack: Hands-on experience with Cloudflare Workers, Cloudflare D1, or equivalent serverless application development platforms.
• Database & APIs: Solid understanding of REST APIs, SQL databases, authentication schemes, and third-party integrations.
• Engineering Standards: Familiarity with Git, automated testing (unit/integration), CI/CD pipelines, and basic troubleshooting.

Bonus Points

• Knowledge/experience with additional Cloudflare ecosystem products (KV, R2, Queues).
• Hands-on experience with Docker and containerisation workflows.
• Prior experience building Shopify apps, SaaS products, or e-commerce integrations.

Why Join Us?

• High Scale & Impact: Build software used by thousands of global brands and millions of end consumers.
• Modern Tech Stack: Build on cutting-edge serverless architectures (Cloudflare Workers, D1, TypeScript).
• Growth & Culture: Great engineering culture, high ownership, and direct mentorship in our Kochi office.

Job Title : DevOps Engineer – Linux, AWS & Infrastructure

Experience : 3+ Years

Location : Sector 48, Gurgaon

Work Mode : 6 Days WFO – Monday to Saturday

Week Off : 01st & 03rd Saturday Off

Employment Type : Full-Time

Job Summary :

We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.

Key Responsibilities :

• Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
• Perform system administration, networking, performance monitoring, and production troubleshooting.
• Design, maintain, and optimize Jenkins-based CI/CD pipelines and deployment workflows.
• Manage Docker containers and Kubernetes environments.
• Work with AWS Cloud services, infrastructure, security, and deployment environments.
• Monitor system health, application performance, logs, and infrastructure using appropriate monitoring and logging tools.
• Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
• Automate repetitive operational tasks using Python, Bash, Shell scripting, or similar technologies.
• Implement infrastructure and application security, access controls, patching, and hardening.
• Investigate production incidents, perform root-cause analysis (RCA), and drive issues to resolution.
• Take end-to-end ownership of infrastructure reliability, availability, and operational issues.
• Collaborate with development and other engineering teams to improve deployment, scalability, and system reliability.

Mandatory Skills :

Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership

Preferred Skills :

• Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSH, load balancing, and networking fundamentals.
• Hands-on experience with Terraform / CloudFormation.
• Experience with Prometheus, Grafana, ELK / EFK, CloudWatch, or similar monitoring / logging tools.
• Good understanding of Linux performance troubleshooting, processes, memory, disk, networking, and file systems.
• Experience handling production incidents, RCA, deployments, and system reliability.
• Exposure to cloud security, IAM, secrets management, and server hardening.

What We’re Looking For :

• 3+ years of hands-on experience in DevOps / SRE / Infrastructure Engineering.
• Strong practical knowledge rather than certification-based/theoretical understanding.
• Good troubleshooting and analytical skills.
• Strong sense of ownership and accountability for production systems.
• Comfortable working in a 6-day work-from-office environment.

Job Description:

We are looking for an experienced Senior Java Developer with strong expertise in Java, Microservices, AWS, and Serverless Architecture. The ideal candidate should have hands-on experience in developing scalable cloud-based applications and working across the complete software development lifecycle.

Key Responsibilities:

• Develop and maintain applications using Java and Microservices.
• Build serverless solutions using AWS Lambda, API Gateway, DynamoDB, and SQS.
• Design and develop scalable REST APIs.
• Follow Agile and DevOps practices.
• Collaborate with cross-functional teams and participate in pair/mob programming.

Required Skills:

• Strong Java development experience.
• Hands-on experience with AWS services and Serverless Architecture.
• Experience with Spring Boot and Microservices.
• Good understanding of Agile and DevOps.
• Strong communication and problem-solving skills.

Preferred: Docker/Kubernetes, Infrastructure as Code, and EV/Connected Cars domain experience.

Key Selection Criteria: Strong Java + AWS Serverless experience, particularly with Lambda, API Gateway, DynamoDB, and SQS.

Key Responsibilities

• Automate application deployments from Bitbucket to servers using CI/CD pipelines.
• Design and manage scalable, highly available AWS infrastructure.
• Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
• Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
• Build and manage Docker containers and server images.
• Deploy and manage applications using Kubernetes.
• Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
• Develop automation scripts using Python and Bash.
• Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
• Integrate security and compliance practices into CI/CD pipelines.
• Optimize infrastructure for security, scalability, performance, and cost.

Required Skills

• 3+ years of experience in DevOps or a similar role.
• Strong knowledge of AWS beyond EC2.
• Hands-on experience with Jenkins or similar CI/CD tools.
• Experience with Docker and Kubernetes.
• Good understanding of Terraform/IaC and automation.
• Proficiency in Python and/or Bash scripting.
• Knowledge of DevSecOps, security, and compliance best practices.
• Strong troubleshooting and problem-solving skills.

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

Experience Required: 2–3 Years

Employment Type: Full-time

Location: Delhi

Department: IT / Infrastructure & Data Center Operations

About the Role

We are looking for a skilled Wintel Administrator (L2) with 2–3 years of hands-on experience to manage and support our data center infrastructure, which includes a virtualized VMware environment, physical servers, database servers, and network/security appliances across LAN and DMZ zones. The ideal candidate will handle day-to-day server administration, virtualization management, backups, monitoring, and L2-level troubleshooting, while working closely with the infrastructure team on ongoing projects.

Key Responsibilities

·     Manage and maintain Active Directory, File Server, Web Server (IIS, Apache, Nginx), and Application Servers

·     Administer and support VMware ESXi hosts and vCenter (multi-host, multi-cluster environment) — VM provisioning, migration, snapshots, and resource allocation

·     Manage physical server hardware (Dell PowerEdge, HP ProLiant) including out-of-band management via iDRAC

·     Install, configure, troubleshoot, and back up database servers — MS-SQL, MySQL, MongoDB

·     Manage server backups and vReplication for disaster recovery of critical VMs and databases

·     Support and maintain monitoring tools (e.g., Zabbix) to track server/host performance, uptime, and alerts

·     Install and configure new Windows, Linux, and desktop systems

·     Install and troubleshoot Windows/Linux applications and software (VB, C#, .NET, Node.js-based apps, etc.)

·     Support DMZ and LAN zone server management, coordinating with network/security team on firewall, load balancer, and VPN (Site-to-Site) configurations

·     Assist with basic public cloud tasks (AWS) where hybrid/DR connectivity is involved

·     Manage and troubleshoot LAN/DMZ switches, WAN links, and connectivity issues at a basic level

·     Assist with patch management, deployment, and server/firmware upgrades

·     Monitor and maintain server performance, availability, and health across physical and virtual infrastructure

·     Respond to and resolve end-user issues escalated from Desktop Support (L1)

·     Maintain accurate documentation of server inventory, IP allocations, configurations, and network diagrams

·     Work on ongoing IT infrastructure projects as assigned

Required Skills & Qualifications

·     B.Tech or equivalent degree in Computer Science, IT, or related field

·     Minimum 2–3 years of hands-on experience as a Windows/Wintel Administrator

·     Strong working knowledge of Windows Server administration (2012/2016/2019/2022)

·     Hands-on experience with VMware ESXi and vCenter administration (multi-vCenter environment preferred)

·     Experience with physical server hardware management — Dell PowerEdge / HP ProLiant, iDRAC/ILO remote management

·     Hands-on experience with IIS, Apache, or Nginx web server management

·     Experience with MySQL, MS-SQL, and MongoDB — installation, configuration, troubleshooting, and backup

·     Good understanding of Active Directory, DNS, DHCP, and Group Policy

·     Working knowledge of firewall, load balancer, and basic network/VPN concepts (Site-to-Site VPN, WAN, DMZ)

·     Experience with server/VM backup and replication solutions for disaster recovery

·     Exposure to monitoring tools such as Zabbix or similar

·     Basic exposure to cloud platforms (AWS) for hybrid/DR connectivity

·     Familiarity with installing and troubleshooting applications like VB, C#, .NET

·     Ability to troubleshoot server hardware, OS-level (Windows/Linux), and virtualization issues

·     Experience with patch management and firmware/server upgrade cycles

Soft Skills

·     Strong troubleshooting and analytical skills

·     Good communication skills to coordinate with end users, network team, and cross-functional teams

·     Ability to work independently as well as escalate/collaborate with L3 when required

·     Willingness to work on-call/rotational shifts if required

·     Detail-oriented with a proactive approach to server monitoring, backups, and uptime management

Founding Full-Stack Engineer / Technical Lead — X.re

We are building X.re — an AI-first CRM built specifically for real estate companies.

X.re is not another generic CRM. It is being designed around the real estate sales funnel, with AI-powered WhatsApp conversations, AI voice, lead scoring, workflow automation and advertising intelligence built into the system.

The product is already being built and is currently being tested with a real estate pilot client.

We are now looking for a senior engineer who can take ownership of the existing codebase and help take it from AI-assisted development into a robust, production-ready SaaS product.

What you'll be doing

• Take ownership of an existing Next.js + TypeScript codebase.
• Understand the existing architecture, database structure, APIs and application flows.
• Conduct a thorough engineering review and identify production, security, scalability and reliability risks.
• Refactor and improve the code where required rather than blindly rewriting the system.
• Build and maintain production-quality frontend and backend features.
• Design and maintain APIs, database models and integrations.
• Work on a multi-tenant SaaS architecture where each real estate brand has its own workspace and data isolation.
• Work closely with AI/LLM-powered features including chat, voice and lead intelligence.
• Work on WhatsApp Business API integrations, webhooks and messaging infrastructure.
• Build reliable automation and workflow functionality.
• Implement proper authentication, authorization, data isolation, logging, monitoring and error handling.
• Help establish engineering standards, testing and deployment practices.
• Eventually build and lead the engineering team as X.re scales.

What we're looking for

We are looking for someone who has strong engineering judgment, not someone who simply knows a list of technologies.

You should be able to:

• Enter an unfamiliar codebase and understand it quickly.
• Identify what is well designed and what is technically risky.
• Take an MVP and turn it into production-grade software.
• Make pragmatic architectural decisions.
• Think about security, scalability, reliability and maintainability.
• Work independently and take ownership.
• Read and review code generated or assisted by AI.
• Know when AI-generated code is acceptable and when it needs to be redesigned.
• Build rather than just manage developers.

Technical requirements

Strong experience with:

• TypeScript
• Next.js / React
• Node.js
• REST APIs
• PostgreSQL / SQL
• Modern SaaS application architecture
• Cloud deployment
• Git and production development workflows

Experience with the following is a strong advantage:

• AI/LLM applications
• WhatsApp Business API
• Webhooks
• Multi-tenant SaaS
• API integrations
• Docker
• AWS or similar cloud platforms
• CI/CD
• Observability and production monitoring

One important thing

This is not a greenfield project.

The existing product has been built significantly with AI-assisted development.

We are specifically looking for an engineer who is comfortable inheriting an existing codebase, understanding it deeply, challenging its assumptions, fixing what needs fixing, and taking responsibility for making it production-ready.

You will not be expected to rewrite everything just because it wasn't originally written by you.

Why this role is different

You won't just be implementing tickets.

You'll have significant influence over:

• Engineering architecture
• Production readiness
• Technical standards
• Infrastructure
• AI integration strategy
• Product engineering decisions
• Future engineering team structure

If things go well, this role can grow into Head of Engineering / CTO-level ownership as X.re scales.

Location

Hyderabad preferred. Remote candidates across India may be considered for the right candidate.

Compensation

₹20–35 LPA + ESOP

Compensation will depend on experience and level of ownership.

Job Title: Platform Engineer

Location: Bangalore(Onsite)

Experience Level: 3-8

Salary Range: 20-30LPA

Description:

Join a team building an AI-native enterprise platform that helps businesses make faster, smarter and more consistent operational decisions using AI, enterprise data and workflow automation.

Design and build the core platform for enterprise decision workflows. Develop reusable workflow and decision runtimes. Build scalable, cloud-native distributed systems and event-driven architectures. Design enterprise-grade APIs and platform services. Build integrations with systems such as SAP and Oracle. Develop secure multi-tenant services with authentication and RBAC. Build and manage AWS cloud infrastructure and deployment systems. Implement monitoring and observability for production systems. Support both cloud and on-premise deployments. Enable faster onboarding and deployment of new enterprise workflows.

Requirements:

- Strong hands-on experience with Python

- FastAPI

- PostgreSQL

- Docker

- AWS

- Practical experience with Redis

- Kafka/event streaming

- REST APIs

- CI/CD

- Git

- Good understanding of Kubernetes

- Distributed systems

- Event-driven architecture

- Enterprise SaaS

- Microservices

- Strong backend engineering fundamentals

- Ability to design scalable, reliable and production-ready systems

Greetings from zealous services!

Job Title: Full Stack Developer PHP / Python & React.js

Location: Chennai, Tamil Nadu (On-site)

Shift: Rotational Shift

Experience: 1 - 4 Years

Employment Type: Full-Time

Salary: Competitive, based on experience

About the Role

We are looking for a skilled Full Stack Developer with experience in PHP and/or Python, along with modern front-end development using React.js, to join our development team.

The role involves building and maintaining scalable web applications, CRM platforms, dashboards, REST APIs, automation tools, and workflow-driven applications. The ideal candidate should have strong backend development skills and a good understanding of modern frontend technologies.

Key Responsibilities

• Design, develop, and maintain web applications using PHP (Core PHP, Laravel) and/or Python (Django, FastAPI).
• Develop scalable and high-performance RESTful APIs, microservices, and backend services.
• Build modern, reusable, responsive, and interactive user interfaces using React.js. • Work with HTML5, CSS3, JavaScript (ES6+), jQuery, AJAX, and Bootstrap 5. • Design, manage, and optimize databases using MySQL and/or PostgreSQL. • Implement authentication, authorization, and role-based access control (RBAC). • Integrate third-party APIs and internal services using REST/JSON. • Develop automation scripts, background tasks, scheduled jobs, and workflow automation.
• Debug, test, optimize, and maintain application performance and reliability. • Deploy and maintain applications on Linux servers and cloud platforms such as AWS and DigitalOcean.
• Work with Git, participate in code reviews, and follow Agile development practices. • Collaborate with developers and other team members to design and implement technical solutions.

Required Skills

Backend Development

• Strong hands-on experience with PHP and/or Python.
• PHP experience with Core PHP and Laravel.
• Python experience with Django, Django REST Framework, and/or FastAPI. • Strong understanding of REST API development and JSON.
• Experience with authentication, authorization, and API integration. • Strong knowledge of MySQL and/or PostgreSQL, including database design and query optimization.

Frontend Development

• Proficiency in React.js.
• Good knowledge of JavaScript (ES6+), HTML5, CSS3, jQuery, AJAX, and Bootstrap 5.
• Ability to develop responsive and reusable UI components.
• Familiarity with React components, hooks, and state management. Server & Development Tools
• Familiarity with Linux environments, cron jobs, and background workers. • Experience using Git and version control.
• Strong debugging, troubleshooting, analytical, and problem-solving skills. Nice-to-Have Skills
• Experience with Redux or Context API.
• Knowledge of JWT, OAuth, and API security.
• Experience with Celery, Redis, message queues, or background processing. • Exposure to CRM systems, dashboards, reporting tools, automation, or data pipelines.
• Familiarity with Docker, CI/CD pipelines, and microservices architecture. • Experience with AWS or DigitalOcean cloud deployment.
• Exposure to AI/ML integrations, analytics scripts, or automation platforms. • Understanding of application performance optimization and security.

Qualifications

• Bachelors degree in Computer Science, Information Technology, or a related field.
• 1 - 4 years of professional experience in Full Stack Development. • Candidates with strong experience in either PHP/Laravel or

Python/Django/FastAPI, along with frontend development skills, are encouraged to apply.

What We Offer

• Opportunity to work on real-world CRM, analytics, automation, and web application projects.
• Exposure to modern technologies including PHP, Laravel, Python, Django, FastAPI, React.js, REST APIs, and cloud platforms.
• Stable on-site rotational shift role with long-term career growth opportunities. • Collaborative and technically driven development environment.
• Opportunity to work on scalable applications and automation-driven platforms.

Company Overview:

Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.

Responsibilities

• Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
• Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
• Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
• Automate configuration and deployment tasks using Python (Ansible a plus).
• Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
• Write Shell and Python scripts to automate operations and reduce manual work.
• Manage Git workflows — branching, merge strategies, and pull request reviews.
• Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
• Troubleshoot deployment, performance, and infrastructure issues with development teams.
• Participate in on-call rotations and drive incident response.
• Continuously improve infrastructure resilience and deployment speed.
• Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.

Qualifications

Must-Have Skills

• Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
• OS: Windows administration (systemd, package management, log analysis).
• Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
• Source Control: Git — branching, merge/rebase, PR reviews.
• CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
• Containerization (Docker + ECS): Task definitions, services, and clusters.
• IaC: Terraform.
• Monitoring: New Relic.
• Scripting: Bash and Python scripting for automation.
• Networking Basics: DNS, load balancers, security groups, VPNs.
• Logging: ELK stack / CloudWatch Logs.
• Database: MSSQL administration — backups, restores, basic performance troubleshooting.
• Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
• AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.

Nice-to-Have Skills

•     Configuration Management: Ansible.

•     Additional IaC: CloudFormation.

•     Architecture: Knowledge of microservices architecture.

•     Cloudflare: DNS, CDN, WAF.

•     Artifact Repositories: Nexus, JFrog Artifactory, ECR.

•     Other CI/CD Tools: GitHub Actions.

•     AWS cost optimization / FinOps awareness.

•     Datadog, CloudWatch, or Prometheus/Grafana.

•     AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).

•     Database Basics: RDS backups, restores, performance tuning.

Job Title : SDE 3 – Infrastructure Platform Engineer

Experience : 5.5 to 8.5 Years

Number of Positions : 2

Employment Type : C2H (Contract to Hire)

Work Mode : Remote during contractual period → 5 Days WFO after conversion

Contract Duration : 3 Months

Post-Conversion Location : Pune

Notice Period : Immediate Joiners / Serving Notice Period / Up to 15 Days preferred

(Candidates officially serving a 30-day notice period may also be considered if they are on the bench and have a negotiable joining date)

Role Overview :

We are looking for an experienced SDE 3 – Infrastructure Platform Engineer to design, build, and operate scalable, secure, and highly reliable cloud infrastructure and internal platform capabilities.

The ideal candidate will have strong hands-on experience in Cloud Infrastructure, Infrastructure as Code (IaC), CI/CD, Docker, Kubernetes, automation, observability, networking, and distributed systems.

Mandatory Skills : AWS / Azure / GCP, Terraform / CloudFormation, Kubernetes, Docker, CI/CD, Platform / Infrastructure Engineering, Python / Go / Java / Ruby, Networking, Cloud Security, Distributed Systems, Scalability & Reliability, Strong Coding & Automation.

Key Responsibilities :

• Design and maintain scalable, highly available infrastructure on AWS / GCP / Azure.
• Build and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
• Develop automation for infrastructure provisioning, deployments, monitoring, and operations.
• Manage and optimize Docker and Kubernetes workloads.
• Build internal platform tools to improve developer productivity and engineering efficiency.
• Implement monitoring, logging, alerting, and observability solutions.
• Participate in incident response, RCA, postmortems, and reliability improvements.
• Design and improve CI/CD pipelines and deployment automation.
• Contribute to system design, architecture discussions, scalability, security, and cost optimization.
• Collaborate with application, data, and product engineering teams.

Required Skills :

• 5.5 to 8.5 years of experience in Infrastructure / Platform Engineering or similar roles.
• Strong hands-on experience with AWS, GCP, or Azure.
• Strong expertise in Terraform / CloudFormation.
• Experience with CI/CD, Docker, and Kubernetes.
• Strong programming skills in at least one of:
• Python, Go, Java, or Ruby.
• Good understanding of networking, cloud security, distributed systems, scalability, and reliability.
• Experience working with production infrastructure and highly available systems.
• Strong troubleshooting and problem-solving skills.

Nice to Have :

• Experience with SRE practices and production on-call ownership.
• Experience in fintech, payments, banking, or transaction-heavy systems.
• Knowledge of cloud security, compliance, or FinOps/cost optimization.
• Experience building internal developer platforms or productivity tools.
• Previous product company experience.

Interview Process :

Round 1 : Take-Home Coding Assignment – Submit within 48 hours

Round 2 : Coding Assignment Discussion – 1 Hour

Round 3 : Technical Managerial Round – 30 Minutes

Note : The take-home coding assignment is mandatory. Candidates should be comfortable completing and submitting the assignment within 48 hours before proceeding.

Ideal Candidate :

Strong Platform / Infrastructure Engineer with hands-on experience in :

Cloud + Terraform / CloudFormation + Kubernetes + CI/CD + Programming + SRE / Production Operations

Pure DevOps profiles without strong coding and platform engineering experience are not preferred.

About Us:

The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them. Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Role Overview

We are seeking a Machine Learning Engineer to lead the end-to-end development of production-grade analytical applications. This is a high-impact role requiring a blend of deep statistical modeling and machine learning. You will be responsible transforming raw consolidated data into high-accuracy forecasts through advanced feature engineering, rigorous model selection, and statistical validation.

This role is for an engineer who thrives in the research-to-code transition, ensuring that every model is mathematically sound, resistant to overfitting, and optimized for high-dimensional manufacturing data.

Responsibilities:

• Feature Engineering & Discovery: Design and build complex feature sets for diverse problem types, including behavioural features for churn, sensor-based lags for maintenance, and seasonal encodings for demand forecasting.
• Model Selection & Optimization: Conduct systematic experimentation across diverse algorithms (e.g., XGBoost, LightGBM, Prophet, or Deep Learning) to identify the best-performing models.
• Model Training & Testing: Develop, train, tune, and test a variety of ML architectures including time-series, classification and regression.
• Statistical Validation & Evaluation: Define and track complex evaluation metrics tailored to manufacturing, such as MAPE, RMSE, etc., while performing deep-dive bias-variance analysis.
• EDA & Research: Perform exploratory data analysis on consolidated "Gold" layer data to uncover hidden drivers of business outcomes and identify correlations between external signals.
• Refinement & Performance Tuning: Address critical modeling challenges including bias-variance tradeoffs, class imbalance, and overfitting to ensure models generalize to real-world production data.

Skills & Requirements:

• 3+ Years of Experience: Proven track record of developing and delivering production-grade ML models across multiple domains (Sales, Finance, Manufacturing, or Supply Chain).
• Mastery of the Python Ecosystem: Expert-level skills in Pandas, NumPy, Scikit-learn, and SciPy.
• Advanced Algorithmic Knowledge: Deep expertise in supervised and unsupervised learning, specifically ensemble methods (Boosting/Bagging) and time-series frameworks.
• Statistical Foundations: Strong grasp of hypothesis testing, probability distributions, and the mathematical principles behind model evaluation and optimization.
• SQL Proficiency: Expert ability to manipulate data within consolidated database layers to create the "Silver" feature sets required for training.
• Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, or Computer Science).
• Cloud Awareness: Experience with Azure Machine Learning or similar cloud modelling environments.
• Engineering Familiarity: Basic understanding of Docker, MLflow, or FastAPI for handing models off to deployment teams.

Personal Attributes:

• Strong problem-solving skills with a passion for data architecture.
• Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
• Highly collaborative, capable of working with cross-functional teams.
• Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Competencies:

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!