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Automation Tester — Senior (L3)

Island Role  ·  Quality & Domain Function  ·  Full-Time

What this role is

The Automation Tester at L3 is the Island’s quality engineering anchor on engagements where the product has moved beyond greenfield into real, complex business workflows. You are not a junior tester who has picked up a framework. You are someone who has built Playwright suites from scratch, tested against live healthcare platforms, and written automation that actually gates production deployments.

At L3 you are expected to operate without hand-holding. The Lead PE or Lead CE will give you context and acceptance criteria. From there, you own the automation surface of the product. That means Playwright E2E frameworks, it means understanding the healthcare domain the product operates in, and it means leading the quality team through every release cycle.

All three. Not two of three.

The Three Pillars — All mandatory

This role has three non-negotiable pillars. If you cannot demonstrate all three at the time of application, do not apply. There is no partial credit.

01 Automation Framework  —  You build it, maintain it, and own it

You design, develop, and maintain scalable end-to-end automation frameworks using Playwright (preferred), Java, or JavaScript/TypeScript. You are not inheriting someone else’s suite and running it. You are authoring it. AI-assisted via Playwright MCP and Codegen is expected. Untouched Codegen output is not acceptable.

02 Healthcare Domain Expertise  —  Industry knowledge — earned or owned

You understand the real-world clinical and operational workflows the product supports. You know the difference between a UI defect and a broken healthcare workflow. You understand what HIPAA compliance requires at the software level, what FDA software validation entails, and why a broken EHR flow is a different category of failure to a misaligned component. If you have already tested healthcare platforms, your application is stronger for it. If you do not have it yet, you are expected to develop it actively on the job.

03 AI-Driven Testing  —  You implement, not just experiment

You use Playwright MCP, self-healing locators, and agentic test generation as execution tools — AI-assisted, fast, and rigorous. You are expected to deploy these tools in production test suites that gate deployments. If you have never implemented AI-assisted testing beyond running Codegen, do not apply for this role.

What you will own at L3

• Playwright E2E test suites for all production-critical user journeys — written and maintained by you, not inherited
• Cross-browser and cross-device execution strategy via BrowserStack Automate and App Automate
• AI testing integration — Playwright MCP, ZeroStep, or equivalent agentic frameworks deployed in live suites
• CI/CD pipeline integration — GitHub Actions, Jenkins, or GitLab — you own the test gate configuration
• Test management and traceability — BrowserStack Test Management, Jira/Xray, or TestRail — defect log and sign-off decision are yours
• Healthcare compliance validation — ensuring automated suites adhere to HIPAA, FDA software validation, and applicable health data privacy laws
• RESTful API test coverage — Postman, SuperTest, or RestAssured — integrated into the regression cycle
• Release sign-off authority — you decide what blocks a production deployment and what does not
• Mentoring L1 and L2 testers on the Island — reviewing their scripts, correcting their defect logs, and raising the quality bar of the pod
• Setting the automation standard for the Island — if an L1 does not know how to structure a Playwright suite, that is your problem to fix
• Onboarding new Island members to the product’s healthcare domain context — you hold the institutional knowledge of the clinical business logic and are expected to transfer it
• Flagging process gaps upstream — if the CE’s acceptance criteria are too vague to automate against, you raise it before the sprint starts, not after

Proof-based qualifications

We do not assess candidates on years of experience or job titles. We assess candidates on proof of capability. When you apply, you must be prepared to demonstrate the following:

What you must show

Automation Framework

A Playwright test suite you authored for a real product engagement — at least three E2E scenarios, a maintained structure, and evidence of CI/CD integration. Codegen-assisted is fine. Untouched Codegen output is not.

Healthcare Domain

A compliance audit, UAT report, or workflow analysis that demonstrates you understand the healthcare business logic behind the product — not just its interface. EHR, telehealth, or HIPAA-regulated flow analysis preferred.

AI Testing

Evidence of Playwright MCP, self-healing locator implementation, or agentic test generation used in a real or representative project. Describe the problem it solved, not the tool name.

Team Leadership

A concrete example of mentoring a junior QA engineer, defining an Island-level testing standard, or owning a cross-team quality roadmap.

Generic QA certifications and tool lists on a CV are not proof. Showing us actual work output is.

On healthcare domain expertise — a direct note

Healthcare domain expertise at L3 means you can audit a product against the real-world clinical workflow it is supposed to support. An EHR product should behave the way an actual clinician expects it to behave. A telehealth platform should reflect how patients and providers actually interact in a regulated care environment.

If you have already tested products in a regulated healthcare domain — EHR platforms, telehealth applications, HIPAA-compliant insurance systems — your application will be treated as strong from the start. You already know what breaks in that space and why it matters.

If you do not have it yet, you are expected to develop it on the job, through active engagement with the client’s clinical workflows, their regulatory environment, and their competitive landscape. We will not do it for you. You will need to take ownership of your own domain fluency.

Either path is acceptable. Showing up at L3 without any healthcare domain fluency and with no plan to develop it is not.

AI tooling at Fountane

Claude and Cursor are the primary tools for thinking, drafting, and executing work at Fountane. Playwright MCP and Codegen are approved for the Automation Tester function as starting points for test script generation. The expectation is that you use them to accelerate — not to replace — your own judgment about what to test and how.

AI tools are not a listed skill here. They are the working method. If you are not already integrating Claude, Cursor, or Playwright MCP into your daily workflow, you will need to get there fast.

Who should not apply

• You have never written a Playwright test. You plan to learn on the job. This is not the right moment for that.
• Your entire QA background is manual testing. You have not authored or maintained an automation framework in the last two years.
• You treat healthcare compliance as someone else’s concern. You test UIs, not clinical workflows.
• You need a Lead to tell you what to automate before you start building.
• You are looking for a role where the scope is narrow and the deliverables are defined for you each sprint.
• You have experimented with AI testing tools but have not deployed them in a real project.

What comes next

L3 is not a ceiling. The path to Lead Automation Tester requires demonstrated ability to design the full automation strategy for an Island, present quality benchmark reports directly to client executive and clinical stakeholder teams, and manage the quality engineering function independently across multiple product streams. Promotion is not tenure-based. There is no timeline. It is triggered by demonstrated capability at the next level’s complexity tier.

About Fountane

Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.

Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.

We are serious about craft, direct about expectations, and operate at the frontier of AI-assisted engineering. Lead PEs here carry real authority and real accountability - over delivery, over people, and over client outcomes. If that combination is what you are looking for, this is the place.

Job Title: Engineering Manager

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Role Overview

As an Engineering Manager at Timble AI, you will manage, mentor, and scale our core engineering teams (including Backend, Frontend, and AI/ML divisions). You will remain highly technical, contributing to architecture decisions and system design, while taking full ownership of project delivery timelines, agile sprints, and team performance metrics.

Key Responsibilities

1. People Leadership & Mentorship: Manage and grow a cross-functional team of software engineers (SDE-1 to SDE-3). Conduct regular 1-on-1s, drive career growth paths, and foster an innovative, high-ownership engineering culture.
2. Delivery & Agile Project Management: Own the engineering sprint cycles. Work closely with Product Managers to break down roadmaps into execution goals, manage dependencies, and ensure high-velocity, predictable delivery.
3. System Design & Architecture: Provide technical governance and direction. Collaborate on core system architecture, design reviews, and ensure codebases remain clean, scalable, and modular.
4.  Engineering Excellence: Define and monitor key performance indicators (KPIs) for the engineering team, including code quality, test coverage, uptime, and system performance.
5. Hiring & Scaling: Actively partner with the talent acquisition team to identify, interview, and onboard top-tier engineering talent to help build our core verticals.

Required Skills & Qualifications

1. Experience: 5+ years of core software engineering experience, with at least 1–2 years of experience in an engineering management, tech lead, or team leadership role.
2. Technical Roots: Strong foundational background in backend systems, distributed architectures, or AI integration. Prior hands-on experience with Python/Django ecosystems, microservices, cloud infra (AWS/GCP), or heavy automation systems is highly valued.
3. Agile Mastery: Deep familiarity with Agile/Scrum development methodologies, sprint planning tools, and CI/CD pipelines.
4.  Communication: Exceptional interpersonal and cross-functional communication skills, with a track record of translating complex technical visions into clear execution steps.
5.  Education: B.Tech / M.Tech in Computer Science, Information Technology, or a related technical discipline from a reputed institute.

Learn more about us at: https://timbleglance.com

Job Title: Site Reliability Engineer

Experience: 4 - 6 Years

Location: Hyderabad (Hybrid)

Job Summary

P99soft is hiring a Site Reliability / Cloud Engineer to manage and optimize scalable cloud infrastructure and microservices environments. The role involves implementing automation, monitoring systems, and ensuring high availability and performance across AWS/GCP platforms. You will work closely with cross-functional teams to handle deployments, incident management, and continuous improvements. Strong expertise in DevOps tools, containerization, and infrastructure as code is essential.

RESPONSIBILITIES:

* Implement, Own, maintain, monitor & support the backend servers & micro-services infrastructure for the studio titles which runs on wide-variety of tech stack

* Implement/maintain various automation tools for development, testing, operations and IT infrastructure

* Be available for on-call duty during production outages in 24/7 PAGERDUTY support

* Work very closely with all the disciplines/stakeholders and keep them communicated on all impacted aspects

* Defining and setting development, test, release, update, and support processes for the SRE operations

* Excellent troubleshooting skills in areas of systems Infrastructure engineering

* Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimising the workflow times

* Encouraging and building automated processes wherever possible

* Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management

* Incidence management and root cause analysis

* Monitoring and measuring customer experience and KPIs

Key Skills : -

Containerisation & Orchestration : Docker, Kubernetes, Rancher, EKS, ECS, GKE, Elastic Beanstalk, Google App Engine

Cloud Platform: AWS, GCP

IaaC: Terraform, AWS-CloudFormation / GCP-CloudDeploymentManager, Ansible

Infra Monitoring : Prometheus, Datadog, Alert Manager, Thanos, AWS Cloudwatch

CI/CD : GITLAB CI-CD, Jenkins

Scripting : Python, Golang

VCS : GITLAB, Perforce, Subversion

OS : UBUNTU, CENTOS, Amazon LINUX, Redhat Linux

Nice to Have: -

1. Experience with supporting build workloads running on On-Prem VMWare based VMs.

2. Experience supporting Mobile App/Mobile Gaming build workloads that involves development platforms like UNITY, UNREAL, Xcode, Android Studio & Fastlane

Working hours -

Shift 1 - 3 AM to 12:30 PM IST ( 5:30 PM to 3 AM EST)

Shift 2 - 11 AM to 8:30 PM IST ( 01:30 AM to 11 AM EST)

Must Have Skills :

Minimum 7+ years of hands-on experience in Site Reliability Engineering (SRE) and/or DevOps.

Proven experience in a Technical Lead/Team Lead role.

Strong expertise in Linux administration and troubleshooting.

Hands-on experience with automation and scripting (Shell, Python, PowerShell, etc.).

Strong knowledge of DevOps tools and CI/CD pipelines.

Experience working on at least one major cloud platform: Azure, AWS, or GCP.

Experience managing production environments with a focus on availability, reliability, monitoring, and incident management.

Strong troubleshooting, problem-solving, and root cause analysis skills.

Role & Responsibilities

What You'll Rock Daily:

• Build & Polish iOS Magic: Dive deep into SwiftUI for sleek, modern UIs and UIKit for rock-solid legacy love. Make our app swipe-right smooth!
•  Cross-Platform Adventures: Tinker with Flutter basics to bridge iOS & Android – because love knows no platform boundaries. 
• Ship Features Fast: From profile boosts to match notifications, own end-to-end development, testing, and launches that wow 50M+ users.
• Debug Like a Detective: Squash bugs, optimize performance, and ensure our app runs buttery on every iPhone in Bharat.
• Team Up: Collaborate with product peeps, designers, and fellow devs in high-energy sprints. Bonus: Brainstorm "shaadi specials" over chai!

Ideal Candidate

• Strong iOS Developer profile (B2C background)
• Mandatory (Experience): Must have 3+ years of hands-on experience in iOS development with atleast 1+ years in a B2C product company
• Mandatory (Skill 1): Must be proficient in both SwiftUI (modern UIs) and UIKit (legacy surfaces), and must have personally shipped 1+ iOS apps live to the App Store (verifiable links expected)
• Mandatory (Skill 2): Must have a solid grasp of iOS App architecture (MVVM or similar), REST API integration, Git, and CI/CD pipelines for mobile builds and releases
• Mandatory (Skill 3): Must have basic, hands-on Flutter exposure
• Mandatory (Company): B2C product companies. Recent B2C experience with prior exposure to B2B also acceptable
• Mandatory (Note): This role is for the Astrochat product of shaadi.com
• Preferred (Education): B.Tech / M.Tech from a top-tier college
• Preferred (Bonus iOS Stack): Hands-on with RxSwift, Core Data, or push notifications

Job Title: Technical Lead – Python/Django

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Key Responsibilities

·      Architecture & Design: Design, develop, and maintain robust, scalable, and secure backend microservices and RESTful APIs using Python and Django.

·      Technical Leadership: Lead code reviews, enforce engineering best practices (TDD, clean code, documentation), and optimize database queries and system performance.

·      Team Mentorship: Guide, mentor, and unblock a team of mid-to-senior software development engineers (SDEs), fostering a high-performance execution culture.

·      System Optimization: Optimize application performance, enhance caching mechanisms, manage task queues, and ensure system uptime and smooth deployment pipelines.

·      Cross-functional Collaboration: Work closely with Frontend, Product Management, DevOps, and AI/ML teams to align backend capabilities with the product roadmap.

Required Skills & Qualifications

·      Experience: 6+ years of core software engineering experience, with at least 2+ years in a technical leadership or mentoring role.

·      Core Expertise: Exceptional command over Python and deep, production-level expertise in the Django/Django framework.

·      Database Management: Strong proficiency with relational databases (PostgreSQL, MySQL) and optimization (indexing, complex query tuning).

·      Caching & Queues: Practical experience with caching layers (Redis, Memcached) and asynchronous task queues (Celery).

·      Architecture Patterns: Solid understanding of microservices architecture, system design principles, API security, and RESTful web services.

·      DevOps Awareness: Familiarity with Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP) is a major plus.

·      Education: B.Tech/M.Tech or MCA / MBA in a technical specialization from a reputed institute.

What We Offer

·      Opportunity to lead a core engineering vertical in a fast-growing AI startup.

·      A collaborative, high-energy work culture with zero bureaucratic friction.

·      Competitive compensation packages and performance-driven growth paths.

Learn more about us at: https://timbleglance.com

We’re hiring QA Engineers at Techdome.

But not the “write test cases and wait” kind.

If you’re still stuck in manual-only thinking, this isn’t for you.

If you use automation + AI like a default, keep reading.

We’re building real products across healthtech, fintech, and AI—and we need QA engineers who don’t just test products, but break, automate, and improve them faster than they’re built.

 What makes this different:

→ You won’t be limited to one product. You’ll work across multiple live products in a single year.

→ Automation-first mindset. Manual is expected, automation is respected.

→ AI is not optional. If you’re not exploring it, you’ll feel left out.

→ Work closely with founders and engineering—your inputs will directly shape releases.

The role:

Core Stack: Playwright (JavaScript) + any AI-driven automation framework

Experience: 2 - 4 years

Location: Hyderabad / Indore

 What we’re looking for:

→ Strong hands-on with Playwright (JS)

→ Exposure to AI in testing / automation workflows

→ Solid understanding of manual + automation testing

→ Someone who can think beyond test cases and question the product

→ Bonus if you’ve worked in MNCs or funded startups

 What won’t work here:

→ “I only do manual testing” mindset

→ Waiting for perfect requirements before starting

→ Low ownership / dependency-heavy approach

Our Interview Process

As fast as we are!!

Step 1: AI Interview on our in-house platform, JustInterview.ai

Step 2:  1:1 discussion with Leadership

Get shortlisted, meet the decision-makers, and you're done.

Hiring for Lead Python Developer

Exp : 9+ yrs

Edu : BE/B.Tech

Work Location : Gurugram Hybrid

Skills :

Strong expertise in Python programming. 

Experience with frameworks such as: Django Flask FastAPI 

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

Experience with databases: PostgreSQL MySQL MongoDB Redis 

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

Cloud platform experience: AWS / Azure / GCP 

Knowledge of message brokers: Kafka / RabbitMQ 

Experience with unit testing and automation frameworks. 

Leadership Skills Strong team handling and mentoring experience. 

Ability to drive technical discussions and architecture decisions. 

Excellent stakeholder management and communication skills. 

Experience managing Agile/Scrum teams. 

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

 Experience in large-scale enterprise applications.

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

SRE - Pune

Location: Pune, Maharashtra, India

Experience - 3 - 5 years

We are looking for technically strong engineers with solid hands-on experience in Kubernetes, Cloud Infrastructure, and DevOps practices. The ideal candidate should have experience working on production-grade cloud-native environments, automation, CI/CD, and infrastructure reliability.

Primary Skills & Responsibilities -

• Strong hands-on experience with Kubernetes and container orchestration.
• Experience working with managed Kubernetes platforms such as:
• AKS (Azure Kubernetes Service).
• EKS (AWS Elastic Kubernetes Service).
• Understanding and exposure to multi-region cluster management and disaster recovery concepts.
• Strong understanding of AWS cloud infrastructure and services.
• Experience designing and implementing CI/CD pipelines.
• Hands-on experience with Infrastructure as Code using:
• Terraform OR other programmable infrastructure provisioning tools.
• Experience with Ansible automation.
• Good understanding of monitoring, logging, and observability infrastructure such as Prometheus.
• Scripting or programming capability in any language (Python, Bash, Go, etc.).
• Understanding of high availability, scalability, and resilient systems.
• Familiarity with:
• IAM concepts.
• Basic cloud operations.
• Billing / cost analysis awareness.
• DevOps operational practices.

Good-to-Have Skills -

• Service Mesh technologies.
• Distributed tracing concepts.
• Understanding of 12-factor application methodology.
• Exposure to open-source tooling or contributions.
• Customer-facing or consulting experience.
• Awareness of:
• SecOps concepts (policy enforcement, threat modelling).
• FinOps and cloud cost optimization practices.
• Cloud infrastructure components such as compute, storage, and managed Kubernetes services.

Key Focus Areas:-

• Scalable SaaS and distributed systems

• Microservices architecture

• Backend performance and API optimization

• Cloud infrastructure and DevOps

• Multi-tenant platforms

• Reliability, scalability, and engineering governance

Main Responsibilities:-

• Design fault-tolerant backend systems

• Lead architecture decisions and technical planning

• Improve system performance, scalability, and deployment workflows

• Guide senior developers and enforce engineering standards

• Reduce technical debt and solve complex production issues

• Collaborate with DevOps on CI/CD, monitoring, and AWS infrastructure.

• You will work on complex, enterprise-scale systems including large SaaS platforms, distributed backend architectures, pricing intelligence engines, CRM solutions, 3D configuration ecosystems, route optimization modules, payment integrations, high-volume APIs, and modern cloud infrastructure.

• We are not looking for a “people manager who used to code.

Required Skills:-

• Backend: Node.js, TypeScript, REST APIs, event-driven systems

• Frontend Understanding: React.js architecture concepts

• Databases: PostgreSQL, MySQL, Redis, query optimization

• Cloud/DevOps: AWS, Docker, CI/CD, Kubernetes (preferred)

• System Design: Microservices, distributed systems, high-availability SaaS platforms

Preferred Experience:-

• SaaS product companies

• Enterprise CRM systems

• Large-scale production platforms

• Pricing engines, WebGL/3D systems, AI-assisted workflows

• U.S.-based product engineering environments

Experience Needed:-

• 10–15 years in software engineering

• 3+ years in architect/principal engineer/engineering lead roles

• Proven experience building scalable production systems

Ideal Candidate:-

A technically strong, ownership-driven architect who:

• Thinks strategically

• Stays calm under pressure

• Solves complex engineering problems

• Mentors teams effectively

• Builds long-term scalable systems rather than quick fixes

About NonStop io Technologies:

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

Brief Description:

NonStop io is seeking a proficient QA Engineer to join our growing team. You will be responsible for quality assurance (manual and/or automation) of enterprise-level applications.

Roles and Responsibilities:

● Bachelor's degree in Computer Science, Engineering, or a related field

● 3+ years of experience in software quality assurance

● Develop, execute, and maintain comprehensive test plans and test cases for manual and automated testing

● Perform functional, regression, performance, and security testing to ensure software quality

● Identify, document, and track software defects, working closely with development teams for resolution

● Ensure test coverage by working closely with developers, product managers, and other stakeholders

● Establish and maintain continuous integration (CI) and continuous deployment (CD) pipelines for test automation

● Conduct API testing using tools like Postman or Rest Assured

● Strong proficiency in automated testing using either of Selenium or Playwright

● Strong understanding of software testing life cycle (STLC) and defect lifecycle management

● Experience with version control systems (e.g., Git)

● Relevant certifications in software testing (e.g., ISTQB) are desirable but not required.

● Familiarity with test management tools like JIRA, TestRail, or similar

● Solid understanding of software testing principles, methodologies, and techniques

● Experience with Agile development methodologies (Scrum, Kanban, etc.)

● Excellent analytical and problem-solving skills

● Strong attention to detail and a commitment to delivering high-quality software

● Good communication and collaboration skills, with the ability to work effectively in a team environment

● Collaborate with cross-functional teams to enhance the overall quality of the product

● Stay up to date with the latest industry trends and best practices in QA methodologies and automation frameworks Requirements

Why Join Us?

● Opportunity to work on a cutting-edge healthcare product

● A collaborative and learning-driven environment

● Exposure to AI and software engineering innovations

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

If your code breaks here, it doesn’t just throw an error.

Jobs don’t get fulfilled. Farmers lose trust during crop windows that don’t wait.

We’re hiring a Software Development Engineer in Bangalore to build the systems that keep real-world operations running — from customer-facing products to the internal tools field teams depend on every morning.

→ Design, build, and ship across the stack: backend services, APIs, mobile/web field apps, and operational dashboards

→ Build systems for deployment, attendance, check-in/check-out, work verification, and issue resolution

→ Make products work in low-connectivity, field-heavy conditions with offline-first and vernacular-first experiences

→ Own features end to end — from design discussions to deployment to on-call

→ Work closely with Product, Ops, and field users to solve what’s actually happening on the ground

→ Contribute to data pipelines and analytics that power planning, forecasting, and unit economics

• 1–5 years building production software

• Comfortable across the stack, or deep in one area and ready to stretch

• Strong ownership mindset — you ship, debug production issues, and care if it works for the user

• Pragmatic with trade-offs and able to balance speed with quality

• Bonus if you’ve built for low-bandwidth, offline-first, next-billion-user contexts

Stack: Python, Django, React, PostgreSQL, Redis, AWS/GCP, Docker, CI/CD

You’ll be building software for the real economy — farmers, labour, livelihoods — not another dashboard for another SaaS tool.

📍 Bangalore (on-site) | Reporting to CTO

If this sounds like you — or someone you’d bet on — tag them in the comments or DM me.

#Hiring #SoftwareEngineer #BackendEngineer #FullStackDeveloper #BangaloreJobs #TechJobs

About the Role

We're looking for a hands-on AI Architect to lead the design and delivery of AI-native applications. You will define the AI stack, establish engineering standards, and drive adoption of AI-assisted development across teams.

Responsibilities

• Architect and build production-grade AI applications.
• Evaluate and standardize AI frameworks, tools, and platforms.
• Design agentic systems, RAG pipelines, and AI workflows.
• Establish AI evaluation, testing, guardrails, and observability practices.
• Drive AI-native development and delivery acceleration initiatives.
• Partner with engineering and product teams on technical roadmap decisions.

Requirements

• 7+ years of software engineering experience.
• Strong experience with LLMs, RAG, embeddings, prompt engineering, and agent frameworks.
• Experience with LangGraph, AutoGen, MCP, or similar ecosystems.
• Hands-on experience with AI evaluations (DeepEval, Ragas), guardrails, and structured outputs.
• Strong Python and TypeScript/Java skills.
• Experience with Kubernetes, CI/CD, IaC, observability, and event-driven architectures.
• Proven experience shipping AI applications to production.

Required Skills

● Experience: Minimum of 5 years of professional experience in a DevOps Engineer

role

● Cloud Proficiency: Proven experience with at least one major cloud provider (AWS,

Azure, or GCP).

● Scripting & Programming: Strong scripting skills in languages such as Bash, Python,

or Go.

● IaC Tools: Hands-on experience with Terraform.

● Container Technology: Expertise in Docker and Kubernetes.

● CI/CD Tools: Proficient with CI/CD platforms like Jenkins, GitLab CI, or Travis CI.

● Configuration Management: Experience with configuration management tools like

Ansible, Chef, or Puppet.

● Version Control: Strong knowledge of Git and branching strategies.

● Problem-Solving:Excellent problem-solving abilities and a commitment to automation

and continuous improvement.

Job Title : DBA – AWS Aurora PostgreSQL

Experience : 6+ Years

Work Mode : Remote

Laptop Pickup : One-time pickup from Noida, Bengaluru, Pune, Hyderabad, or Chennai

Contract Duration : 6 Months

Job Summary :

We are seeking an experienced AWS Aurora PostgreSQL DBA to manage, optimize, and support enterprise database environments hosted on AWS.

The ideal candidate should have strong expertise in PostgreSQL, AWS RDS/Aurora PostgreSQL, database performance tuning, high availability, disaster recovery, security, and production support.

Key Skills Required :

AWS Aurora PostgreSQL, PostgreSQL DBA, AWS RDS, SQL Performance Tuning, Query Optimization, Indexing, Execution Plan Analysis, High Availability (HA), Disaster Recovery (DR), Multi-AZ, Read Replicas, CloudWatch, Aurora Performance Insights, Backup & Recovery, Database Security, IAM, Audit Logging, Production Support, RCA, Python/Shell/PowerShell Scripting, Terraform/CloudFormation, AWS DMS, CI/CD, Git.

Mandatory Skills :

• 4 to 5+ years of experience in PostgreSQL Database Administration.
• 3 to 5+ years of hands-on experience with AWS RDS and Aurora PostgreSQL.
• Strong SQL expertise, including query optimization, indexing, and execution plan analysis.
• Experience with Aurora clustering, Multi-AZ deployments, read replicas, failover management, backup, and recovery.
• Hands-on experience with AWS CloudWatch and Aurora Performance Insights.
• Strong understanding of database security, encryption, IAM controls, audit logging, and compliance practices.
• Experience in production support, incident management, troubleshooting, and root cause analysis (RCA).
• Scripting/automation experience using Python, Shell Script, or PowerShell.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Knowledge of AWS DMS, DevOps practices, CI/CD pipelines, and Git.

Preferred Skills :

• Experience supporting Master Data Governance (MDG) or enterprise data platforms.
• Experience working in healthcare or other highly regulated environments.
• Exposure to AWS services such as Redshift, DynamoDB, and S3.
• AWS Certified Database Specialty or AWS Solutions Architect certification is preferred.

Key Responsibilities :

• Manage and support AWS Aurora PostgreSQL environments, including provisioning, configuration, monitoring, scaling, and maintenance.
• Optimize database performance through query tuning, indexing, and proactive monitoring.
• Implement and maintain high availability, backup, recovery, and disaster recovery solutions.
• Troubleshoot production issues, perform root cause analysis, and ensure database reliability and availability.
• Collaborate with application, cloud, and data engineering teams to support deployments and production releases.
• Automate routine DBA activities and improve operational efficiency using scripting and AWS-native tools.

Qualifications :

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong analytical, troubleshooting, and communication skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Position: Team Lead – Data Engineering

Client: NucleusTeq

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

·     Design and architect scalable, high-performance data solutions.

·     Lead and mentor a team of data engineers.

·     Build and optimize large-scale data pipelines.

·     Drive architectural decisions and technical strategy.

·     Ensure data quality, governance, and security best practices.

·     Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

·     Strong hands-on experience in Java & Python.

·     Strong expertise in SQL and Big Data technologies.

·     Hands-on experience with Google Cloud Platform (GCP).

·     Experience with Apache Airflow for workflow orchestration.

·     Strong understanding of distributed systems and data architecture.

·     Experience in CI/CD pipelines (mandatory).

·     Experience in data warehousing and ETL processes.

·     Excellent leadership and stakeholder management skills.

Good to Have:

·     Experience with Dataflow (Apache Beam).

·     Experience designing enterprise-level data platforms.

·     Exposure to DevOps best practices.

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

Job Title : Analytics Engineer

Experience : 6+ Years

Location : Gurgaon | Bangalore | Ahmedabad | Chennai

Work Mode : Work From Office

Employment Type : Contract (6 Months)

About the Role :

We are looking for an experienced Analytics Engineer to design, develop, and optimize scalable data models and analytics solutions that drive business decision-making. The ideal candidate should have strong expertise in SQL, dbt, data modeling, data quality, and modern analytics engineering practices.

Mandatory Skills :

SQL, dbt, Data Modeling, Data Warehousing, ETL/ELT, Query Optimization, Data Quality, Git, CI/CD, Analytics Engineering, Data Transformation, Data Governance, Stakeholder Management.

Key Responsibilities :

• Design and maintain scalable data warehouse models, data marts, and analytical datasets.
• Build and optimize data transformation pipelines using SQL and dbt.
• Develop high-performance SQL queries using CTEs, Window Functions, Complex Joins, and Analytical Functions.
• Implement data quality checks, testing frameworks, and governance best practices.
• Manage end-to-end analytics development lifecycle, from requirement gathering to deployment.
• Work with Git, CI/CD pipelines, and version control best practices.
• Collaborate with business and technical stakeholders to deliver reliable analytics solutions.
• Troubleshoot and optimize data pipelines, models, and query performance.

Required Skills :

• 6+ years of experience in Analytics Engineering, Data Engineering, or related roles.
• Strong expertise in SQL and query performance optimization.
• Hands-on experience with dbt (Data Build Tool).
• Strong understanding of data modeling and data warehousing concepts.
• Experience with Git, CI/CD, and software development best practices.
• Knowledge of data quality frameworks, testing, and validation techniques.
• Ability to independently manage design, development, testing, documentation, and deployment.

Preferred Skills :

• Experience with cloud-based data platforms.
• Exposure to orchestration and scheduling tools.
• Understanding of data governance and compliance frameworks.
• Experience in performance tuning and cost optimization.
• Prior mentoring or technical leadership experience.

What We're Looking For :

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Passion for building scalable, reliable, and high-quality analytics solutions.

Job Title: Senior Product Software Engineer I

Location: Bangalore, India

.

Software Engineer (Backend / Distributed Systems)

This role is for a hands-on Backend Software Engineer with 5+ years of experience building and maintaining large-scale distributed systems. The candidate will be responsible for developing scalable backend services, optimizing system performance, improving reliability, and contributing to architecture decisions.

Key Responsibilities

• Design, develop, and maintain backend services and APIs.
• Build scalable and reliable distributed systems.
• Collaborate with global engineering teams (US & India).
• Participate in system design, code reviews, testing, and CI/CD processes.
• Monitor production systems and provide support through on-call rotations.
• Improve system performance, fault tolerance, observability, and resiliency.
• Contribute to architectural discussions and technical decision-making.

Mandatory Skills

• 5+ years of software development experience.
• Strong coding skills in Java or Python.
• Experience with Distributed Systems and Microservices Architecture.
• Hands-on experience with REST APIs and API-driven applications.
• Strong knowledge of MySQL or PostgreSQL.
• Experience with CI/CD, testing, and code quality practices.

Preferred Skills

• Spring Boot (for Java developers).
• Kafka, Kinesis, or other event-driven/streaming technologies.
• Docker and Kubernetes.
• Terraform or Infrastructure as Code tools.
• Cloud platform experience (AWS/GCP/Azure).
• High-throughput and low-latency system experienc

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Associate Principal Engineer, Linux Administrator

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience:9-11 years

Job description

REQUIREMENTS:

• Strong experience in DevOps, Platform Engineering, and Infrastructure Automation
• Deep hands-on expertise in Linux Administration (RHEL, CentOS, Ubuntu) – OS hardening, security, patching, and performance management (Must Have)
• Strong experience with Cloud Technologies – Public & Private Cloud environments (Must Have)
• Hands-on experience with Infrastructure as Code (IaC) using Terraform (Must Have)
• Strong automation expertise using Ansible for configuration management and infrastructure provisioning (Must Have)
• Experience building and managing CI/CD pipelines and end-to-end deployment automation
• Strong experience with Kubernetes administration, orchestration, and cluster management (Must Have)
• Hands-on experience with Docker containerization and Helm package management
• Experience managing large-scale development and infrastructure environments
• Strong understanding of Networking concepts, connectivity, design, troubleshooting, and network automation
• Experience with Observability & Monitoring tools and best practices
• Experience with Proxmox virtualization platform administration and management
• Knowledge of Edge Technologies and distributed infrastructure environments
• Basic understanding and administration of Active Directory (AD)
• Experience implementing AI-driven Automation solutions and operational efficiencies
• Strong understanding of infrastructure security, compliance, and governance
• Experience working in Agile/Scrum environments
• Strong troubleshooting, analytical, and problem-solving skills
• Excellent communication and stakeholder management skills

RESPONSIBILITIES:

• Design, build, and manage scalable infrastructure platforms across cloud and on-premise environments
• Administer and maintain Linux servers including security hardening, patching, performance tuning, and troubleshooting
• Develop and manage Infrastructure as Code (IaC) solutions using Terraform
• Automate infrastructure provisioning, configuration management, and operational tasks using Ansible
• Design, implement, and maintain CI/CD pipelines for application and infrastructure deployments
• Deploy, manage, and optimize Kubernetes clusters and containerized workloads
• Manage Docker environments and Helm-based application deployments
• Design and implement network solutions ensuring security, reliability, and scalability
• Monitor infrastructure health, performance, and availability using observability and monitoring tools
• Manage and support Proxmox virtualization environments
• Implement AI-driven automation initiatives to improve operational efficiency and reduce manual effort
• Support edge infrastructure deployments and distributed computing environments
• Collaborate with development, security, and operations teams to deliver reliable platform services
• Troubleshoot production incidents and perform root cause analysis
• Define infrastructure standards, automation frameworks, and operational best practices
• Ensure high availability, scalability, security, and reliability of infrastructure platforms
• Mentor junior engineers and provide technical leadership on DevOps and platform engineering initiatives
• Participate in Agile ceremonies and contribute to continuous improvement initiatives
• Work closely with stakeholders to understand infrastructure requirements and deliver optimal solutions

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields

Remote

3 - 6 yrs

Full-time Contract Role

We are looking for a skilled Python Developer with strong experience in Django, Flask, REST APIs, and scalable backend development. The ideal candidate should have hands-on experience building enterprise applications, API-driven systems, AI integrations, automation tools, and cloud-based solutions.

The candidate should be passionate about clean architecture, problem-solving, and developing scalable web applications with modern technologies.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python and Django/Flask.
• Build and optimize RESTful APIs for web and mobile applications.
• Work on database design, query optimization, and performance tuning.
• Integrate third-party APIs such as payment gateways, APIs.
• Develop AI/ML-based solutions including RAG applications and automation systems.
• Collaborate with frontend developers using React/Angular integration.
• Implement authentication, RBAC, and security best practices.
• Debug, troubleshoot, and optimize existing applications.
• Participate in code reviews and technical architecture discussions.
• Prepare technical documentation and deployment workflows.
• Work with asynchronous processing, queues, sockets, and real-time systems.

Required Skills

• Strong experience in Python development using Django, Flask, FastAPI, REST API development, SQLAlchemy, and scalable backend architecture.
• Experience with frontend technologies, UI integration, and responsive web development.
• Strong knowledge of MySQL, PostgreSQL, SQLite, database design, query optimization, and performance tuning.
• Experience working with LangChain, RAG applications, LLM integrations, Scikit-learn, and machine learning algorithms.
• Experience in backend integrations, automation, real-time systems, and web scraping.
• Knowledge of Azure cloud services, SSO implementation, cloud deployment, and scalable application architecture.

Preferred Qualifications

• Experience working on SaaS products and enterprise platforms.
• Experience with cloud deployment and scalable architecture.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience handling production-level applications.
• Strong analytical and debugging skills.

Soft Skills

• Strong communication skills.
• Team collaboration and leadership abilities.
• Problem-solving mindset.
• Client handling experience.
• Ability to work independently.

Education

Bachelor’s Degree in Computer Applications, Computer Science, IT, or related field.

Ideal Candidate Profile

• We are looking for a strong Python developer with full stack development experience and strong Django backend expertise in scalable API-driven architecture.
•  The ideal candidate should be passionate about building scalable and high-performance applications, possess strong analytical and debugging skills, and be capable of working in a fast-paced and dynamic environment.

About NonStop io Technologies:

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

Brief Description:

NonStop io is seeking a proficient React.js developer to join our front-end development team. In this position, you’ll be mainly crafting and integrating UI components through React.js methodologies and workflows like Mobx and Redux.

Responsibilities:

● Developing and implementing UI components using React.js

● Collaborating with cross-functional teams to design and ship new features

● Building reusable components and front-end libraries for future use

● Translating designs and wireframes into high-quality code

● Optimizing components for maximum performance across various web browsers

● Troubleshooting and debugging issues to ensure smooth user experiences

● Participating in code reviews to maintain code quality and consistency

● Improvement and optimization of existing codebase

● Keeping up with industry trends

● Identifying issues with technologies and architecture and then implementing solutions

● Assist with ticket creation, refinement, and estimation

● Participate in sprint planning and ticket distribution for frontend team

Qualifications & Skills:

● Proficiency in React.js and its core principles

● Strong JavaScript, TypeScript, HTML5, and CSS3 skills

● Experience with popular React.js state management libraries and approaches (such as Mobx, Redux, and Context API)

● Familiarity with RESTful APIs and integration

● Knowledge of modern authorization mechanisms, such as JSON Web Tokens

● Understanding of front-end build tools and pipelines

● Excellent problem-solving and communication skills

● A strong attention to detail, and a passion for delivering high-quality code

● Expertise in designing scalable and efficient front-end architecture

● Adaptability to changing project requirements and priorities

● Experience with version control systems, particularly Git

● Experience working in Scrum and familiarity with Atlassian (Jira, Confluence, Bitbucket)

● Proven experience in leading teams

● Experience with diverse applications and architectural patterns

● A degree in computer science, software engineering, or a related field

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

● Familiarity with automated testing frameworks and methodologies

● Excellent problem-solving skills and attention to detail

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

Role & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.

2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.

3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.

4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.

5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.

6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.

7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

• Strong Cloud Automation Architect Profile
• Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments
• Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments
• Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux
• Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
• Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
• Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
• Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
• Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
• Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)
• Preferred (Skill 3) – Experience with AWS cost optimization automation and converting operational runbooks into self-healing diagnostic workflows

About the Role 

We are looking for a Senior DevOps Engineer to lead the design, automation, and scaling of our hybrid cloud infrastructure spanning public cloud and private/on-premises environments. You will partner closely with software engineering, security, and product teams to build reliable, secure, and high-performance systems that support rapid product delivery. This is a hands-on role with significant influence over our infrastructure strategy, deployment workflows, and engineering culture. 

Key Responsibilities 

• Architect, deploy, and maintain scalable, highly available infrastructure across both public cloud (AWS, Azure, GCP) and private cloud platforms (OpenStack, VMware vSphere/Tanzu, Nutanix, or similar). 
• Operate and maintain on-premises infrastructure: hypervisors, compute, storage (Ceph, NetApp, SAN/NAS), networking (SDN, VLANs, BGP, MPLS), and hardware capacity planning, alongside their public cloud equivalents. 
• Design and own CI/CD pipelines that deploy seamlessly across public and private environments. 
• Implement and manage Infrastructure as Code (Terraform, Ansible, Pulumi) with strong version control and review practices, using providers for both public and private cloud platforms. 
• Manage container orchestration (Kubernetes, ECS, OpenShift, Rancher) across managed cloud services and self-managed/bare-metal clusters, including upgrades, autoscaling, and workload reliability. 
• Build observability into all systems through logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, ELK, or similar) with unified visibility across hybrid environments. 
• Champion security best practices: secrets management, IAM hardening, network segmentation, vulnerability scanning, and compliance (SOC 2, ISO 27001, HIPAA, or data-sovereignty requirements). 
• Lead incident response, root-cause analysis, and post-mortems; drive long-term reliability improvements and SLO/SLA adherence. 
• Optimize cost, capacity, and resource utilization across public cloud spend and on-premises hardware without compromising performance or availability. 
• Partner with data center operations and network providers on hardware provisioning, firmware management, MPLS circuit management, and lifecycle planning. 
• Mentor junior DevOps and software engineers; promote DevOps culture, automation-first thinking, and shared ownership of production. 
• Evaluate and introduce new tools, platforms, and processes that improve developer productivity and system reliability. 

Required Qualifications 

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles, with at least 2 years at a senior level. 
• Deep expertise with at least one major public cloud provider (AWS, Azure, or GCP) in production. 
• Hands-on experience operating private cloud or virtualization platforms (OpenStack, VMware, Nutanix, or equivalent) in production. 
• Strong experience with virtualization, storage systems, and enterprise networking in on-premises environments. 
• Strong hands-on experience with Kubernetes in production, including both managed cloud and self-managed/bare-metal clusters. 
• Proficiency in Infrastructure as Code (Terraform and Ansible strongly preferred). 
• Solid scripting and programming skills in Python, Go, Bash, or similar. 
• Experience designing and operating CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or ArgoCD. 
• Strong Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, VPNs, firewalls, routing, MPLS). 
• Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, New Relic, ELK, or OpenTelemetry). 
• Proven track record of leading incident response and improving system reliability. 
• Excellent communication skills and the ability to collaborate across engineering, security, infrastructure, and product teams. 

Preferred Qualifications 

• Experience designing hybrid and multi-cloud architectures, including secure connectivity (Direct Connect, ExpressRoute, MPLS, VPN, SD-WAN) between public and private environments. 
• Familiarity with service meshes (Istio, Linkerd), API gateways, and GitOps workflows (ArgoCD, Flux). 
• Background in security-focused or regulated environments and exposure to compliance frameworks. 
• Experience with database administration (PostgreSQL, MySQL, Redis, MongoDB) in cloud-managed and self-hosted setups. 
• Contributions to open-source DevOps or cloud infrastructure tooling. 
• Relevant certifications (AWS Solutions Architect / DevOps Engineer, Azure Administrator, CKA, CKAD, RHCE, VMware VCP, OpenStack Certified Administrator, HashiCorp Terraform Associate). 

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

Location: Bangalore 

Experience: 4-8 years

Interview Process - Two Rounds - First Round Virtual

Second Round-Face to Face at Bangalore

Key Skills Required

☁️ Cloud & Infrastructure

• Strong hands-on experience with AWS Cloud Services
• Proficiency in Terraform for Infrastructure as Code (IaC)
• Experience in managing scalable cloud environments

⚙️ Containerization & Orchestration

• Solid experience in Kubernetes (K8s) for container orchestration
• Understanding of microservices architecture

🔄 CI/CD & DevOps

• Hands-on experience with Azure DevOps (CI/CD pipelines)
• Experience in build, release, and deployment automation

📊 Observability & Monitoring

• Strong experience with Prometheus & Grafana
• Expertise in setting up alerts, dashboards, and monitoring system health

🔐 API Gateway & Security

• Experience with Kong or equivalent API Gateway
• Understanding of API security controls (authentication, rate limiting, policies)

🧠 Core Technical Competencies

• Strong Linux troubleshooting and system debugging skills
• Proficiency in scripting (Bash / Python / Shell)
• Understanding of networking concepts: TCP/IP, HTTP, DNS, Load Balancing
• Experience with system architecture and distributed systems

🚨 SRE Responsibilities

• Monitor system performance, reliability, and availability
• Handle incidents, perform troubleshooting, and conduct RCA
• Automate operational tasks to improve efficiency
• Build and maintain scalable, resilient infrastructure
• Collaborate with development and DevOps teams for system improvements

🧪 Good to Have

• Experience with Finacle operations
• Exposure to API/load testing tools like JMeter or Gatling
• Familiarity with logging tools like Loki

🤝 Soft Skills

• Strong communication and collaboration skills
• Ability to document processes and technical workflows clearly

🎯 Ideal Candidate

A hands-on SRE/DevOps Engineer with strong exposure to:

• AWS + Terraform + Kubernetes
• CI/CD (Azure DevOps)
• Monitoring + API Gateway security 

Company: Amura Health

Location: Velachery, Chennai

Work Model: 6 Days Work From Office (Mandatory)

About Amura Health:

Amura Health is building a transformative health platform focused on improving human potential through better health outcomes. The company believes that healthier bodies lead to healthier brains, enabling people to solve more complex problems, contribute meaningfully to society, and create a better future.

The organization is building next-generation healthcare technology products and platforms that aim to redefine the way medicine is practiced globally. With a strong focus on innovation, scale, and impact, Amura Health operates in a fast-paced, high-ownership environment where engineers work on meaningful and technically challenging problems.

Role Overview

We are looking for a highly skilled Senior Backend Engineer with strong expertise in Node.js and distributed backend systems. The ideal candidate should have experience building scalable APIs, microservices, and backend infrastructure capable of handling high-performance workloads.

This role requires end-to-end ownership of backend modules, including architecture, development, testing, deployment, optimization, and production support. The candidate will collaborate closely with engineering, DevOps, and product teams to build reliable and scalable systems.

Key Responsibilities

Develop scalable backend services, APIs, and microservices using Node.js frameworks such as Express.js and NestJS.

Own backend modules end-to-end from design and implementation to testing and deployment.

Write clean, maintainable, reusable, and high-quality production-grade code.

Optimize application performance, scalability, reliability, and system efficiency.

Troubleshoot production issues, perform root cause analysis (RCA), and improve platform stability.

Work with relational and NoSQL databases for scalable data management.

Implement caching solutions using Redis and optimize API response times.

Work with queues and asynchronous processing systems such as Kafka, RabbitMQ, or Amazon SQS.

Collaborate with DevOps teams for CI/CD pipelines, deployment automation, and infrastructure improvements.

Participate in system design discussions and architectural decision-making.

Contribute to engineering best practices, documentation, and code review processes.

Work effectively in a fast-paced startup environment with high ownership and accountability.

Required Skills & Technical Expertise

Strong expertise in Node.js and backend development.

Hands-on experience with TypeScript, Express.js, and NestJS.

Strong understanding of asynchronous programming and event-driven systems.

Experience designing and consuming REST APIs.

Strong knowledge of microservices architecture and distributed systems.

Experience with SQL databases such as PostgreSQL and MySQL.

Experience with NoSQL databases such as MongoDB, DynamoDB, and Redis.

Knowledge of caching strategies and performance optimization.

Hands-on experience with messaging systems such as Kafka, RabbitMQ, or SQS.

Understanding of Docker, Git, and CI/CD pipelines.

Exposure to AWS cloud infrastructure and deployment environments.

Strong debugging, monitoring, and performance tuning skills.

Knowledge of scalable backend architecture and system reliability.

Eligibility Criteria

4 to 7 years of hands-on backend development experience.

Bachelor’s degree in Computer Science, Information Technology, or related engineering discipline.

Candidates from strong product engineering backgrounds will be preferred.

Experience working in fast-paced startup or high-growth product environments is preferred.

Strong communication, ownership, and problem-solving abilities are essential.

Must be comfortable working from office 6 days a week in Velachery, Chennai.

Ideal Candidate Profile

The ideal candidate is a strong backend engineer who has experience building scalable systems in product-driven environments. They should be comfortable taking ownership of backend services, solving complex engineering challenges, debugging production issues, and collaborating across teams.

The candidate should possess a startup mindset, demonstrate accountability, move quickly, and contribute proactively to engineering excellence.

Work Environment & Expectations

Work from Office model with mandatory in-office presence.

6 working days per week from the Velachery, Chennai office.

High ownership and accountability-driven engineering culture.

Collaborative and fast-paced startup environment.

Candidates should be comfortable working on high-impact systems and solving challenging technical problems.

Company Website

https://amura.ai

About the Role

We are hiring for our client for the role of Java Developer. The ideal candidate should have strong expertise in backend development, Java-based microservices architecture, and REST API development. This role involves designing, developing, debugging, and optimizing enterprise-grade applications in a collaborative environment.

Key Details

• Location: PAN India (Bangalore Preferred)
• Work Mode: Hybrid
• Experience: 8–12 years
• Compensation: ₹15 LPA – ₹25 LPA
• Open Positions: 10
• Notice Period: Immediate to 15 days preferred

Key Responsibilities

• Develop backend services and microservices using Java
• Design and build REST APIs for enterprise applications
• Participate in application architecture, design, and development activities
• Debug, test, and optimize application performance
• Support deployment, maintenance, and production issue resolution
• Collaborate with cross-functional teams to deliver scalable solutions
• Ensure code quality, best practices, and performance optimization

Required Skills

• Strong hands-on experience in Java development
• Experience with backend services and microservices architecture
• Expertise in REST API development
• Strong debugging and performance optimization skills
• Good understanding of application deployment and maintenance
• Strong problem-solving and collaboration abilities

Eligibility Criteria

• Candidates available within 0–15 days preferred
• Strong alignment with the requirement

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

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

Key Responsibilities

Design, develop, and maintain scalable Education ERP modules.

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

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

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

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

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

Required Skills & Qualifications

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

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

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

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

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

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

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

Preferred Experience

Prior work in the education ERP domain.

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

Exposure to high-traffic enterprise applications.

Strong leadership, mentoring, and problem-solving abilities

Benefit:

Permanent Work From Home

• Design, develop, and maintain integration solutions using MuleSoft Anypoint Platform.
• Create and manage APIs using RAML specifications, including designing, documenting, and versioning APIs.
• Develop APIs following API-led connectivity (System, Process, Experience layers).
• Use MuleSoft APIs effectively for orchestration of business workflows and integrations.
• Deploy and manage Mule applications in CloudHub and Runtime Fabric environments.
• Implement integrations using MuleSoft connectors such as HTTP, Database, JMS, Salesforce, and SAP.
• Design and implement message routing using:

Choice routers

Scatter-Gather

• Work with messaging patterns such as:

Request-reply

Publish-subscribe

Content-based routing

• Integrate with messaging systems such as Kafka / Google Pub/Sub, ensuring:

Asynchronous processing

Retry mechanisms

Idempotent message handling

• Reliable event-driven communication
• Implement robust error handling strategies in MuleSoft, including global error handlers and custom error handling flows.
• Design resilient systems using:

Retry strategies

Circuit breakers

• Maintain API versions using URI versioning or header-based versioning, manage lifecycle through API Manager, and ensure backward compatibility.
• Implement strong logging and monitoring strategies for observability and troubleshooting.
• Apply security best practices including OAuth2, JWT, TLS, and API policies.
• Write and maintain MUnit test cases to ensure code quality and reliability.
• Use Git for source control and work with CI/CD tools such as Jenkins or GitHub Actions for:
• Troubleshoot, debug, and optimize MuleSoft applications and integrations.
• Collaborate with cross-functional teams including backend, frontend, and DevOps.
• Participate in code reviews, design discussions, and architecture decisions.
• Ensure high performance, scalability, and reliability of integration solutions.

Mandatory Skills

• Strong experience with MuleSoft Anypoint Platform
• Hands-on experience in RAML design and API development
• Experience deploying APIs in CloudHub and/or Runtime Fabric
• Knowledge of Docker and Kubernetes
• Strong understanding of API security (OAuth2, JWT, TLS, API policies)
• Experience with MuleSoft connectors (HTTP, DB, JMS, Salesforce, SAP)
• Knowledge of integration patterns, message routing, and event-driven architecture
• Experience with Kafka / Google Pub/Sub or similar messaging systems
• Strong understanding of error handling, retries, DLQ, and idempotency patterns
• Hands-on experience with MUnit testing

Experience implementing logging and monitoring strategies

Senior Spark QA Engineer – Functional & Performance Testing

Location: Remote

Experience: 5+ Years 

Job Description - 

We are looking for a Senior Spark QA Engineer with strong expertise in functional and performance testing of Apache Spark applications and distributed data platforms.

Key Responsibilities -

• Perform manual and automated testing of Spark jobs, Spark SQL queries, and ETL pipelines.
• Execute functional, scalability, and performance testing for Spark workloads.
• Set up and manage Spark clusters on Standalone, YARN, Kubernetes, Mesos, Databricks, EMR, and Dataproc.
• Conduct benchmarking, validation, and performance analysis of Spark applications.
• Identify bottlenecks and troubleshoot distributed system issues.
• Lead QA initiatives and mentor team members.

Required Skills - 

• 5+ years of QA/testing experience with strong hands-on expertise in Apache Spark.
• Experience in functional and performance testing of distributed systems.
• Strong understanding of Spark architecture and optimization techniques.
• Experience with Kubernetes and cloud-based Spark environments.
• Proficiency in Python or Java.
• Experience with automation frameworks and CI/CD pipelines.

Role Overview

We are looking for a Senior Full Stack Developer in India with strong hands-on experience across frontend and backend development to deliver high-quality, scalable solutions for global clients.

This role requires deep technical expertise, the ability to work independently on complex requirements, and strong collaboration with global delivery teams across regions. You will contribute to technical decision-making, mentor team members, and ensure solutions meet enterprise-grade standards.

Key Responsibilities

Full Stack Development

• Design, develop, test, and maintain robust and scalable full stack applications
• Work across frontend and backend layers depending on project demands
• Deliver clean, maintainable, and performance-optimized code

Technical Contribution & Quality

• Contribute to technical and architectural decisions
• Ensure applications meet requirements for security, performance, reliability, and scalability
• Participate actively in code reviews and technical discussions

Delivery & Collaboration

• Work closely with Product, UX, QA, DevOps, and global delivery teams
• Participate in agile ceremonies including sprint planning, reviews, and retrospectives
• Communicate effectively with Delivery Managers and project stakeholders on progress, risks, and dependencies

Mentoring & Team Enablement

• Mentor junior and mid-level developers on coding, testing, and design best practices
• Support your project team and the wider engineering community through knowledge sharing
• Contribute to continuous improvement of development standards and practices

Continuous Learning & Improvement

• Stay current with evolving technologies, frameworks, and engineering practices
• Participate in POCs, technical evaluations, and learning initiatives
• Actively contribute to improving tools, processes, and delivery approaches

Required Qualifications & Experience

• BE, ME/MTech, MCA, MSc, or equivalent degree-level education
• 5-10+ years of hands-on experience as a Full Stack Developer
• Strong experience working in client-facing, delivery-oriented environments
• Proven experience working in agile development teams
• Ability to work effectively with distributed/global teams

Technical Skills

Frontend

• Angular 16 (preferred) or React (can convert to Angular)
• TypeScript, JavaScript, HTML5, CSS / SCSS, Tailwind CSS
• Advanced state management and frontend performance optimization

Backend

• Java (Spring Boot preferred) or Node.js
• RESTful APIs and microservices architecture
• Unit testing and mocking frameworks (JUnit, Mockito)
• Asynchronous and event-driven messaging

Data & Integration

• Strong experience with SQL and/or NoSQL databases
• Database schema design, data modeling, and query optimization
• Experience with enterprise integrations, message queues, and event-driven systems

DevOps & Engineering Practices

• CI/CD pipelines and version control (Git)
• Automated testing (unit, integration, frontend and backend)
• Understanding of deployment, monitoring, and operational reliability

Professional & Behavioral Skills

• Strong problem-solving and analytical mindset
• Clear verbal and written communication skills in English
• Ability to work independently, manage priorities, and meet delivery timelines
• Commercial awareness in client delivery and project execution
• Strong collaboration and team-oriented approach

Nice to Have

• Open-source contributions (GitHub, npm/Maven publishing)
• Experience with technical POCs, R&D initiatives, or innovation projects
• Participation in tech communities, mentoring programs, or knowledge forums
• Relevant certifications or advanced technical training

About Columbus :

Columbus is a global IT services and consulting corporation with more than 3,000 employees serving our customers worldwide. We bring digital transformation into your business and position you to thrive far into the future. We offer a comprehensive solution portfolio with deep industry knowledge, extensive technology expertise and profound customer insight. We have proven this through 32 years of experience serving more than 5,000 customers worldwide.

POSITION: Sr. QA Engineer  

We are looking for a seasoned and results-driven Senior QA Engineer with 7 to 8 years of experience in Manual and Automation Testing. The candidate should have deep expertise in QA processes, strong automation skills using Python or equivalent, and the ability to lead quality initiatives for our core product suite. You won't just be finding bugs — you will be building a resilient quality ecosystem that leverages modern tools. 

What You’ll Be Doing:  

● Understand business requirements and convert them into test scenarios and test cases 

● Perform Manual Testing including Functional, Regression, Integration, & System Testing 

● Develop, maintain, and execute Automation Scripts using Python 

● Identify, report, and track defects using defect management tools 

● Work closely with Developers, Product Managers, and QA team members 

● Lead requirement analysis, test planning, and test case reviews 

● Contribute to improving QA processes and automation coverage 

● Participate in sprint planning, retrospectives, and cross-functional reviews 

● Identify, report, and track defects using defect management tools; manage triage and resolution with development teams 

● Catch edge cases before they become production issues 

● Co-ordination is release processes 

Automation Skills:  

● Maintain, and extend robust Automation Frameworks ( PyTest / Selenium) for UI and backend services as well as design patterns, and CI/CD integration 

● Monitor nightly automation runs, troubleshoot defects 

● Ability to design, extend, debug, and maintain test frameworks independently 

API and Database Testing:  

● Perform contract testing and functional validation of REST APIs using Postman or similar tools. 

● Write complex SQL queries to validate data pipelines, migrations 

Qualifications:  

● Strong understanding of Software Testing concepts 

● Experience in writing Test Cases and Test Scenarios 

● Experience in Defect Tracking tools (JIRA, etc.) 

● Experience in CI/CD tools (Jenkins, GitHub Actions, GitLab CI) 

● Experience in Agile / Scrum methodology 

● Strong analytical and problem-solving skills with a 'break-it' mentality 

● Good communication skills — ability to articulate quality risks to non-technical stakeholders 

● Self-motivated, quick learner, and proactive in driving quality culture 

● Strong team player with empathy to help developers 'fix-it' 

● Exposure to Agentic AI testing frameworks 

We are looking for a Backend Engineer with strong experience in building scalable, reliable, and high- performance systems. You will work on designing APIs, handling large-scale data, and building robust backend services using Java and Spring Boot.

Principal Duties/Responsibilities

• Design, develop, and maintain backend services and APIs using Java (Spring Boot)
• Build scalable and fault-tolerant systems to handle high traffic and large data volumes
• Design clean and efficient RESTful APIs and service contracts
• Collaborate with frontend, product, and design teams to deliver end-to-end features
• Optimize system performance, latency, and throughput
• Ensure high code quality through testing, code reviews, and best practices
• Debug production issues and ensure system reliability and uptime
• Participate in system design and architectural decisions
• Own services end-to-end, including development, deployment, and monitoring.

Required Skills and Knowledge

• Strong proficiency in Java
• Hands-on experience with Spring Boot / Spring Framework
• Solid understanding of data structures, algorithms, and OOPs concepts
• Experience building and consuming REST APIs
• Strong knowledge of databases:
• Relational (MySQL, PostgreSQL) • Basics of NoSQL (Redis, MongoDB, etc.)
• Understanding of concurrency, multithreading, and JVM internals
• Familiarity with caching strategies (Redis, in-memory caching)
• Experience with Git and version control workflows

Good to Have Experience with deployment strategies:

• Blue-Green deployments
• Canary releases • Rolling deployments
• Exposure to CI/CD pipelines (Jenkins, GitHub Actions, CircleCI, etc.)
• Basic experience with AWS / cloud infrastructure:
• EC2, S3, RDS • Load balancers, auto-scaling
• Experience with Docker and containerization
• Knowledge of microservices architecture and service communication (REST/gRPC, Kafka)
• Familiarity with message queues / streaming systems (Kafka, RabbitMQ)
• Experience with monitoring & observability tools (Prometheus, Grafana, ELK, Datadog)
• Understanding of security best practices (authentication, authorization, OAuth, JWT)

 Required Experience /Qualifications

• 4 years of backend development experience
• BTech / BE Computer Science.

Title: Sr. Python Developer (Full-Stack & AI)

Location: Onsite – Mumbai, Maharashtra (Western Line)

Experience: 2 - 5+ years

Pay: ₹400,000.00 - ₹600,000.00 per year

Joining: Immediate

About the Role

We are building AI products for enterprise use and need a Senior Python Developer for our core team. You will be responsible for the full-stack architecture—designing both the backend and frontend. We want someone who works smart by using AI tools to build fast, but also has great skills to code manually when the logic is complex or needs high precision.

Key Responsibilities

• Build and maintain full-stack applications using Python and Django.
• Use AI-powered IDEs and development tools as your primary method to ship code quickly.
• Perform manual coding and deep debugging for complex logic that AI cannot handle alone.
• Collaborate with AI/ML teams to put machine learning models into production.
• Design how the entire system (frontend, backend, and database) works together.
• Optimize the application for speed, security, and reliability.
• Participate in technical discussions and help make architecture decisions.

Required Skills & Experience

• Minimum 5 years of professional Python development experience.
• Strong expertise in Django (Primary) and experience with FastAPI or Flask.
• Full-stack capability: Ability to design and build both the frontend and backend.
• Modern Tooling: High proficiency in using AI-powered IDEs and AI dev-agents to speed up your workflow.
• Manual Coding: Strong ability to write clean, manual code for complex backend logic.
• Solid understanding of databases like PostgreSQL, MySQL, or Redis.
• Familiarity with Cloud platforms (AWS/Azure/GCP) and Docker.
• Experience or strong interest in AI/ML pipeline integration.

Good to Have

• Experience with React or Next.js for the frontend.
• Exposure to message brokers like RabbitMQ or Kafka.
• Knowledge of Vector databases or RAG pipelines.
• Experience with CI/CD and basic DevOps.

Experience:

• Total: 3 years (Required)
• Python/Django: 3 years (Required)

Work Location: In person (Borivali, Mumbai)

Role Overview:

Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.

Work Location: Pune

Job Type: Hybrid

Role Responsibilities:

• GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
• Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
• Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
• Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
• Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
• Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
• Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
• Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.

Required Qualifications:

• Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
• 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
• Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
• Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
• Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
• Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
• Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
• Comfort operating hybrid environments that include both Linux and Windows ecosystems.
• Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
• Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.

Good to Have:

• Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
• Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
• Exposure to AWS or other public clouds in addition to GCP.
• Experience operating SaaS platforms built on microservices architectures.

Dear Candidates,

We have an urgent requirement for the role of Assistant Manager – Angular Developer. Please find the details below:

Experience (YOE): 5–8 Years

Location: Bengaluru / Delhi / Hyderabad (Bengaluru – Ecospace preferred)

Joining: Immediate joiners preferred

Job Description:

• Strong experience in front-end development with a focus on Angular (latest version).
• Develop scalable, high-performance web applications.
• Design, code, debug, test, and optimize user-facing features.
• Ensure responsiveness, cross-browser compatibility, and application security.
• Collaborate with backend teams, UI/UX designers, and stakeholders.
• Perform unit and integration testing; troubleshoot and resolve issues.
• Follow coding standards and Agile methodologies.

Technical Skills Required:

• Angular (19+), JavaScript, TypeScript, HTML5, CSS3
• RxJS, NgRx (or other state management tools)
• REST API integration
• Git, JIRA, Confluence
• CI/CD tools (Jenkins, Docker, Azure DevOps)
• Good understanding of performance optimization and security practices

Nice to Have:

• Exposure to Node.js and backend integration
• Experience with microservices architecture

Qualification:

• Bachelor’s or Master’s degree in Computer Science or related field

Job Title : Technical Team Lead (Python/Django)

Experience Required : 8+ Years

Location : Surat

Work Mode : On-site

Employment Type : Full-time

About the Role :

We are looking for an experienced Technical Team Lead to drive architecture, scalability, and end-to-end product engineering for a fast-growing technology platform.

The ideal candidate should have strong expertise in Python/Django-based backend systems, scalable cloud infrastructure, and modern frontend/mobile technologies.

This role requires a hands-on technical leader who can mentor engineers, make architectural decisions, ensure production stability, and collaborate closely with product and design teams to deliver high-quality software solutions.

Mandatory Skills :

Python, Django, MongoDB, REST APIs, AWS, CI/CD, React.js/Flutter, JWT Authentication, GitHub Actions, AI/ML Integrations, Team Leadership.

Key Responsibilities :

• Lead architecture and technical direction across backend, frontend, mobile, and infrastructure layers.
• Design and maintain scalable, secure, and high-performance systems.
• Review code, enforce engineering standards, and maintain development best practices.
• Manage backend APIs, database optimization, and cloud deployments.
• Drive CI/CD implementation and release management processes.
• Work on AI/ML integrations and intelligent automation features.
• Ensure smooth end-to-end feature delivery from development to production deployment.
• Mentor and guide backend/frontend engineers and conduct technical reviews.
• Collaborate with product, design, and business stakeholders.
• Handle production incidents, debugging, and system reliability ownership.
• Improve application performance, monitoring, and scalability.

Technical Skills Required :

Backend & Database :

• Strong expertise in Python and Django framework.
• Experience building and maintaining large-scale REST APIs.
• MongoDB design, aggregation pipelines, & query optimization.
• Authentication and authorization using JWT.
• Experience with WebSockets and real-time systems.

Frontend & Mobile :

• Hands-on experience with React.js and Redux.
• Knowledge of Flutter (Dart) is preferred.

Cloud & DevOps :

• AWS EC2, S3, and cloud infrastructure management.
• CI/CD pipeline implementation using GitHub Actions.
• Git workflows, branching strategy, PR reviews, and release management.

AI & Integrations :

• Experience integrating OpenAI or similar AI/ML services.
• Payment gateway integration experience.
• Push notification systems such as Firebase FCM.

Required Qualifications :

Must Have :

• 8+ years of experience in Backend or Full Stack Development.
• Strong experience with Python/Django in production environments.
• Expertise in scalable backend architecture and API development.
• Experience with MongoDB optimization and cloud deployments.
• Hands-on experience with CI/CD and DevOps workflows.
• Strong debugging, problem-solving, and leadership abilities.

Preferred Skills :

• Experience leading teams of 3–8 engineers.
• Exposure to AI-driven applications or intelligent systems.
• Experience in Health-tech, Food-tech, or consumer platforms.
• Knowledge of scalable real-time applications and event-driven systems.

Development & Engineering Practices :

• Feature branch-based development workflow.
• Pull Request reviews with approval process.
• Protected production branches and controlled deployments.
• Sandbox/UAT testing before production release.
• Automated deployment pipelines using GitHub Actions.
• Strong focus on auditability, monitoring, and production stability.

Soft Skills :

• Strong communication and stakeholder management skills.
• Ownership mindset with leadership capabilities.
• Ability to work in a fast-paced product environment.
• Team mentoring and collaboration skills.
• High attention to scalability, reliability, and code quality.

About the Role

We are seeking a proactive and detail-oriented Site Reliability Engineer (SRE) with 3+ years of experience to ensure high availability, reliability, and performance of production systems.

This role focuses on automation, observability, incident management, and cross-team coordination to drive operational excellence.

Key Responsibilities

· Maintain reliable, scalable, and secure production environments.

· Implement and manage monitoring, alerting, and logging solutions.

· Contribute to defining and tracking SLIs/SLOs and support error budget practices.

· Automate operational tasks to improve efficiency and reduce manual effort.

· Perform troubleshooting and Root Cause Analysis (RCA) for production incidents.

· Optimize system performance, availability, and capacity.

· Maintain runbooks, SOPs, and incident documentation in Confluence.

· Adhere to change management, deployment governance, and disaster recovery standards.

· Support incident response for critical production services.

Collaboration & Tools

· Coordinate with external vendors and internal cross-functional teams.

· Work closely with Engineering, Product Owners, and Operations teams.

· Manage incidents and changes using ServiceNow & JIRA.

· Collaborate through Slack and structured communication channels.

Technical Skills

Systems & Cloud

· Strong knowledge of Windows and Linux/Unix systems.

· Solid understanding of networking fundamentals (DNS, TCP/IP, Load Balancing, Firewalls).

· Experience with at least one cloud platform (AWS, Azure, or GCP).

Automation & CI/CD

· Proficiency in one scripting/programming language (Python, Go, Bash, PowerShell, or Java).

· Understanding of CI/CD pipelines and automation practices.

Containers & Observability

· Hands-on experience with Docker and Kubernetes.

· Experience with monitoring tools such as Grafana or Power BI.

· Ability to analyze logs, metrics, and traces for troubleshooting.

ITSM & Documentation

· Experience with ServiceNow & JIRA (incident/change/problem workflows).

· Working knowledge of Confluence for technical documentation and knowledge management.

Additional Experience (Preferred)

· Background in DevOps, Cloud Engineering, or Platform Engineering.

· Understanding of security best practices and compliance standards.

· Familiarity with AI-assisted engineering tools (Claude Code, Jellyfish, GitHub Copilot).

· Exposure to large-scale or production-grade systems.

Soft Skills

· Strong analytical and troubleshooting mindset.

· Excellent written and verbal communication skills.

· Effective stakeholder and vendor coordination.

· Ownership-driven and composed during high-severity incidents.

Applying to jobs at Ampera is completely free. We never ask candidates for any payment.

Role & Responsibilities

We’re looking for an experienced Data Architect to lead enterprise-scale data modernization initiatives leveraging Microsoft Fabric. In this role, you will define the target-state architecture, implement Medallion (Bronze/Silver/Gold) architecture within Fabric Lakehouse, and establish enterprise data governance frameworks. You will also build GenAI-ready data platforms that enable advanced analytics, machine learning, and secure enterprise-wide data access.

Responsibilities:

• Lead enterprise-scale implementation of modern data platforms using Microsoft Fabric
• Design and implement Medallion architecture (Bronze/Silver/Gold)
• Architect scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions
• Define data modeling standards (Dimensional, Data Vault)
• Establish data governance frameworks including cataloging and lineage
• Build CI/CD pipelines for data platforms
• Design AI/ML and Generative AI-ready architectures
• Build ingestion pipelines (batch, streaming, CDC)
• Enable real-time data processing
• Develop target-state architecture and standards
• Collaborate with cross-functional teams
• Act as a trusted advisor to clients

Ideal Candidate

• Strong Microsoft Fabric / Azure Data Architect profile
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations
• Mandatory (Experience 3) – Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture and scalable lakehouse platforms supporting batch and real-time workloads
• Mandatory (Experience 4) – Strong experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures
• Mandatory (Experience 5) – Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses
• Mandatory (Experience 6) – Must have hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines
• Mandatory (Experience 7) – Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls
• Mandatory (Skill 1) – Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management
• Mandatory (Skill 2) – Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases
• Mandatory (Skill 3) – Experience with orchestration and workflow tools, and integrating data platforms with BI tools like Power BI for enterprise reporting
• Mandatory (Note) – Only immediate joiners (within 15 days) will be considered
• Preferred (Certification) – Microsoft Fabric / Azure certifications; exposure to MDM, data quality frameworks, and enterprise metadata tools

Platform Engineer – Cloud & On-Prem Infrastructure

Location - Pune or Bangalore (WFO- 5 days)

Must-Have Skills:

• 8+ years deploying, upgrading, and maintaining infrastructure across on-premises and public cloud, with Kubernetes and Docker
• Proficiency in Infrastructure as Code using Terraform or Pulumi
• Hands-on coding in Golang or Python, plus Bash scripting 

Good-to-Have Skills:

• Familiarity with Kubernetes management solutions (OpenShift, Rancher, GKE, EKS, AKS, VMware TKG) 
• Experience with VM management platforms (e.g., Red Hat OpenShift Virtualization, VMware) 
• Kubernetes certifications (CKA, CKAD) 
• Exposure to service mesh technologies (Istio, Linkerd)

Who You Are

• A platform engineer who builds and maintains the infrastructure backbone for both on-prem and cloud environments
• Passionate about automating daily operations and eliminating manual toil
• Comfortable authoring and evolving IaC (Infrastructure as a Code) templates to enforce consistency.

What You’ll Do & Learn

• Roll out & maintain on-premises and cloud infrastructure for development and testing environments 
• Implement & support CI/CD pipelines to drive our software delivery processes
• Develop automation tools that streamline routine operations and improve reliability 
• Build & enhance Infrastructure-as-Code templates (Terraform, Pulumi) for rapid, repeatable provisioning 
• Document system designs, configurations, and processes to enable an asynchronous, distributed team culture

Location: Chennai (Hybrid)

Commitment: Minimum 2 Years (Excluding 3 months of Probation)

Experience Level: Fresher / Entry Level

Job Overview:

We are looking for a skilled and versatile System Administrator with strong expertise in Windows and Linux environments, along with working knowledge of cloud infrastructure, cybersecurity, automation, and AI/ML systems.

The ideal candidate should be capable of handling enterprise IT infrastructure, supporting multi-cloud environments, and contributing to AI/ML deployment and integration activities. Strong communication skills and the ability to collaborate with technical and client-facing teams are essential.

Key Responsibilities:

• Manage and maintain Windows and Linux server environments ensuring stability, performance, and security.
• Support deployment, configuration, and administration of IT infrastructure components across on-prem and cloud environments.
• Monitor system health, troubleshoot issues, and ensure high availability of services.
• Work with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
• Assist in implementation of security solutions including IAM, firewalls, endpoint protection, and SIEM tools.
• Develop and maintain automation scripts using Python, PowerShell, or JavaScript.
• Support deployment and integration of AI/ML models into production environments.
• Collaborate with engineering and development teams to optimize infrastructure and application performance.
• Participate in technical discussions, documentation, and client support activities when required.

Required Skills & Qualifications:

• Strong knowledge of Windows and Linux system administration.
• Good understanding of networking, servers, and cloud fundamentals.
• Experience or exposure to AWS, Azure, or GCP.
• Proficiency in scripting languages such as Python, PowerShell, or JavaScript.
• Basic understanding of cybersecurity principles and system hardening.
• Familiarity with AI/ML concepts and deployment workflows is an advantage.
• Strong analytical and troubleshooting skills.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with virtualization and containerization (VMware, Docker, Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to MLOps concepts and model deployment workflows.
• Understanding of monitoring tools and logging systems.
• Experience working in hybrid or enterprise IT environments.

What We Offer:

• Exposure to enterprise-level infrastructure and cloud environments.
• Opportunity to work on real-world AI/ML integration projects.
• Structured career growth into Cloud, DevOps, Security, or AI/ML engineering roles.
• Collaborative work environment with hands-on learning opportunities.
• Competitive compensation and long-term growth path.

Who Should Apply:

• Freshers or candidates with up to 2 years of experience.
• Candidates passionate about system administration, cloud computing, and AI/ML.
• Individuals eager to work in infrastructure-heavy, production environments.
• Strong communicators who can work in team-oriented and client-facing roles.

Role Objective

Develop business relevant, high quality, scalable web applications. You will be part of a dynamic AdTech team solving big problems in the Media and Entertainment Sector.

Roles & Responsibilities

* Application Design: Understand requirements from the user, create stories and be a part of the design team. Check designs, give regular feedback and ensure that the designs are as per user expectations.  

* Architecture: Create scalable and robust system architecture. The design should be in line with the client infra. This could be on-prem or cloud (Azure, AWS or GCP). 

* Development: You will be responsible for the development of the front-end and back-end. The application stack will comprise of (depending on the project) SQL, Django, Angular/React, HTML, CSS. Knowledge of GoLang and Big Data is a plus point.  

* Deployment: Suggest and implement a deployment strategy that is scalable and cost-effective. Create a detailed resource architecture and get it approved. CI/CD deployment on IIS or Linux. Knowledge of dockers is a plus point.  

* Maintenance: Maintaining development and production environments will be a key part of your job profile. This will also include trouble shooting, fixing bugs and suggesting ways for improving the application. 

* Data Migration: In the case of database migration, you will be expected to suggest appropriate strategies and implementation plans. 

* Documentation: Create a detailed document covering important aspects like HLD, Technical Diagram, Script Design, SOP etc. 

* Client Interaction: You will be interacting with the client on a day-to-day basis and hence having good communication skills is a must. 

**Requirements**

Education-B. Tech (Comp. Sc, IT) or equivalent 

Experience- 3+ years of experience developing applications on Django, Angular/React, HTML and CSS 

Behavioural Skills-

  1. Clear and Assertive communication 

  2. Ability to comprehend the business requirement  

  3. Teamwork and collaboration 

  4. Analytics thinking 

  5. Time Management 

  6. Strong Trouble shooting and problem-solving skills 

Technical Skills-

  1. Back-end and Front-end Technologies: Django, Angular/React, HTML and CSS. 

  2. Cloud Technologies: AWS, GCP and Azure 

  3. Big Data Technologies: Hadoop and Spark 

  4. Containerized Deployment: Dockers and Kubernetes is a plus.

  5. Other: Understanding of Golang is a plus.

AI / LLM Engineering — Good to Have

• Candidates with exposure to AI/LLM engineering will have a strong advantage as we build intelligent, AI-augmented AdTech solutions. None of the below is mandatory.
• LLMs: OpenAI (GPT-4/4o), Anthropic (Claude), Meta (Llama)
• Orchestration & Agents: LangChain, LangGraph, LlamaIndex
• Tool Calling / MCP: Function Calling (OpenAI / Anthropic), FastMCP or Custom MCP Servers
• RAG (Retrieval-Augmented Generation): RAG pipeline design, LlamaIndex, LangChain retrievers and chains
• Vector Databases: Pinecone, Weaviate, FAISS
• Embeddings: OpenAI Embeddings, Hugging Face Sentence Transformers
• Observability: LangSmith, Sentry
• Backend / Infra for AI: Django REST Framework, FastAPI.

Job Overview:

We are looking for a high-ownership Software Engineer with hands-on experience in modern full-stack development. The role demands strong fundamentals, the ability to work in a startup environment, and a mindset to build, iterate, and scale products.

You will be working closely with founders and cross-functional teams to build robust, scalable, and high-performance applications.

Core Responsibilities

·        Develop and maintain web applications using Next.js (frontend) and Nest.js (backend)

·        Design, build, and optimize RESTful APIs and backend services

·        Translate business requirements into scalable technical solutions

·        Collaborate with product, design, and business teams for feature development

·        Debug, troubleshoot, and improve application performance

·        Ensure code quality through clean architecture, testing, and best practices

·        Participate in deployment, monitoring, and continuous improvement cycles 

Technical Requirements

·        Strong proficiency in JavaScript and TypeScript

·        Solid understanding of web fundamentals (HTML, CSS, APIs, browser behavior)

·        Hands-on experience with Next.js and Nest.js

·        Working knowledge of PostgreSQL or relational databases

·        Familiarity with Git and GitHub (version control workflows)

·        Understanding of API design principles and backend architecture

Good-to-Have Skills

·        Experience with deployment platforms (Digital Ocean, AWS, Docker, etc.)

·        Knowledge of authentication, authorization, and security practices

·        Exposure to CI/CD pipelines

·        Understanding of scalable system design basics

What We Want

·        Strong problem-solving mindset

·        Ability to learn fast and adapt quickly

·        Comfort working in an unstructured startup environment

·        Ownership-driven attitude (not just task execution)

·        Clear communication and collaboration skills

Ideal Candidate Profile

·        Projects demonstrating end-to-end ownership

·        Contributions on GitHub (active repositories, clean code)

·        Experience building real-world applications (not just tutorials)

·        Ability to explain technical decisions and trade-offs

What You Will Get

·        Opportunity to work directly with startup founders

·        Fast-paced learning environment and accelerated skill development

·        Exposure to real product building and scaling challenges

·        Freedom to experiment, build, and innovate

·        Performance-driven growth and responsibility

·        Competitive compensation aligned with your potential

Additional Details

·        Joining: Immediate (7–15 days preferred)

·        Probation: 3 Months 

Lead and scale engineering team (hiring, mentoring, performance)

Own end-to-end delivery (sprints, timelines, execution)

Drive system architecture (full-stack: frontend + backend)

Collaborate with Product & Design teams

Ensure code quality, CI/CD, and production stability

Manage stakeholders and balance tech vs business priorities

Work on AI/LLM-based product enhancements

Implement engineering best practices & processes

We're hiring a Tech Lead to own the backend architecture and engineering culture of a fast-growing HR-Tech platform used by 100+ enterprise clients across India.

This isn't a "manage the team and attend standups" role. You'll be hands-on with architecture decisions, own the deployment environment, and work directly with founders who came from Gallup and IIM Ahmedabad.

The stack is Node.js, Docker, Kafka, and cloud (AWS / Azure / GCP).

The role is right for you if:

- You've led backend teams and still enjoy being close to the code

- You've built or significantly improved a CI/CD pipeline in production

- You can explain a technical trade-off to a business stakeholder without making them feel talked down to

- You want ownership, not just a title.

What you'll be doing:

- Designing and maintaining backend systems built for scale, security, and reliability

- Leading and mentoring a team of backend engineers through sprint cycles and beyond

- Owning cloud infrastructure (AWS / Azure / GCP) and keeping deployments stable and fast

- Improving CI/CD practices and automating what shouldn't require human intervention

- Translating product requirements into technical specs the team can actually execute

- Conducting code reviews that raise quality without slowing people down

- Working directly with founders and business stakeholders — not through layers of management

What we're looking for:

- 5–8 years of software engineering experience, with at least 2 years in a lead or senior role

- Strong backend development skills in Node.js (Python or Java is a bonus)

- Hands-on cloud experience — building and managing infrastructure, not just deploying to it

- Comfort with Docker, Kafka, and Linux environments

- Experience running Agile teams — sprint planning, retrospectives, the works

- Clear communication and the ability to make decisions under ambiguity

- B.Tech / B.E. in Computer Science or Information Technology

Location: Mumbai (on-site) Experience: 5–8 years Start: Immediate

If this sounds like the role you've been looking for, apply below or send a message directly. The process is fast and so is the decision.

Job Role: Data Engineer

Location: Mumbai, Andheri.

WFO(Monday-Friday)

Looking for Immediate, 15 days joiner.

Required Skills

• 3+ years of hands-on experience as a Data Engineer.

• Strong proficiency in Python and PySpark programming for data engineering tasks.

• In-depth knowledge of ETL processes and data pipeline architectures. • Experience with Airflow or Step Functions for orchestration and scheduling.

• Solid experience working with AWS services.

• Proficiency in building and maintaining CI/CD pipelines

. • Experience with data modelling, database design, and querying.

• Strong problem-solving skills, with the ability to troubleshoot and optimize complex data pipelines.

Bonus Skills

• Knowledge of cloud platforms (e.g., AWS, GCP).

• Experience with containerization and Kubernetes.

• Experience in data security, encryption, and compliance best practices.

• Strong communication and collaboration skills. 

Responsibilities

• Design, build, and maintain scalable and efficient ETL/ELT pipelines to process large-scale datasets.

• Implement and manage workflow automation and orchestration using Apache Airflow or Step Functions.

• Build and optimize data infrastructure using AWS services.

• Integrate and manage data warehouses.

• Design and develop dynamic and interactive dashboards using PowerBI, Metabase, and Superset, to present insights.

• Develop and maintain CI/CD pipelines for seamless deployment and continuous integration of data solutions.

• Monitor and troubleshoot data pipeline issues, ensuring data quality and consistency.

• Leverage best practices for data governance, security, and compliance in cloud environments.

• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver reliable data solutions.