50+ CI/CD Jobs in India

We are seeking an experienced, hands-on Front End to build and optimize scalable, user-friendly applications with a focus on micro frontend architectures. The ideal candidate will blend strong UI engineering skills with modern frontend practices, ensuring responsive, secure, and high-quality experiences aligned with business needs.

Responsibilities

● Design & Build: Develop scalable, performant front-end applications using React, TypeScript, and Micro Frontend architecture.

● Code Quality: Review PRs, enforce best practices, and introduce patterns to reduce technical debt.

● UI/UX Excellence: Deliver pixel-perfect, responsive, and accessible UIs across devices and browsers.

● Performance: Optimise rendering, bundling, caching, and load times for smooth user experiences.

● Mentorship: Guide and mentor mid/junior engineers, run design/code walkthroughs, and foster a culture of technical excellence.

● AI-driven Development: Leverage AI tools to accelerate coding, debugging, testing, and documentation in day-to-day workflows.

Criteria:

Experience: ~2-6 years in software development, with proven expertise in React, modern frontend architectures, and building scalable user interfaces.

Technical Skills

● Strong proficiency in React.js (v17+), TypeScript, and modern frontend workflows.

●Experience with Micro Frontend architectures (e.g., Module Federation, Webpack, or similar approaches).

● Solid expertise in HTML5, CSS3, and mandatory proficiency with Bootstrap for responsive design.

● Knowledge of Blade templates for frontend-backend integration.

● Good-to-have: Tailwind CSS and Material UI for component-based design systems.

● Deep understanding of state management (Redux, Recoil, or equivalent).

● Experience with frontend performance optimisation and browser dev tools.

● Familiar with testing frameworks (Jest, React Testing Library, Cypress).

● Proficiency with Docker and containerised environments.

● Experience with CI/CD pipelines for frontend deployments.

● Ability to effectively use AI-powered tools for code generation, refactoring, documentation, and productivity improvements.

Soft Skills

● Clear and effective communication.

● Strong sense of ownership and accountability.

● Ability to break down complex problems and provide accurate estimates.

● Openness to adopt new tools/technologies to improve team efficiency.

What we offer:

● An exceptional team: Our hiring bar is high, and your colleagues are talented, motivated self-starters.

● A learning environment: We are a learning organisation, and as a team, we will help you grow and encourage you to learn and upgrade your skills.

●Outstanding compensation: top talent deserves top pay, and our salary, equity and benefits reflect this.

● Opportunities to grow: Encourages you to attend technical conferences and take company funded educational courses to advance your skills.

● An opportunity to be a key member of a well-capitalised, leading brand in an online real estate investing platform.

Job Title : Senior Data Engineer – Databricks

Experience : 14 to 20 Years

Location : HSR Layout, Bangalore

Work Mode : Hybrid – 3 Days WFO

Shift : 11:30 AM – 07:30 PM IST

Positions : 2

Notice Period : Immediate Joiners Only

Interview : 1 Technical Round + 2 Client Rounds

Role Overview :

We are looking for a Senior Data Engineer to build and lead enterprise-scale data platforms for a Switzerland-based commodity client.

The role requires a strong hands-on Data Engineering professional with expertise in Databricks, PySpark, Python, SQL, and AWS, along with technical leadership and stakeholder management experience.

Must-Have Skills :

• 14 to 20 years of Data Engineering experience
• Databricks & Apache Spark / PySpark
• Python & SQL
• AWS Cloud
• Lakehouse Architecture
• ETL / ELT & Distributed Data Processing
• Batch & Streaming Pipelines
• Data Pipeline Optimization & Data Modeling
• CDC & Incremental Processing
• Git, CI/CD & Testing
• Data Quality, Monitoring & Observability
• Technical Leadership & Stakeholder Management

Key Responsibilities :

• Design and build scalable data pipelines using Databricks, PySpark, Python, SQL, and AWS.
• Own data products from design through production.
• Develop batch / streaming pipelines and reusable ETL / ELT frameworks.
• Optimize pipelines for performance, scalability, reliability, and cost.
• Design scalable data architectures and data models.
• Implement data quality, monitoring, lineage, and CI/CD practices.
• Lead technical discussions and mentor engineering teams.
• Collaborate with business stakeholders, architects, product owners, and engineering teams.
• Remain hands-on while providing technical leadership.

Ideal Candidate :

A 14 to 20 years experienced, hands-on Data Engineering leader with strong Databricks + PySpark + AWS expertise, excellent communication, stakeholder management, and experience delivering enterprise-scale data platforms.

🔴 Super Urgent : Only Bangalore-based immediate joiners.

We’re seeking a highly skilled, execution-focused Senior Backend Engineer(6 Months contract) with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.

You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.

Responsibilities—

• Design, develop, and maintain distributed backend systems at scale.
• Write high-performance, production-grade code in Java.
• Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
• Implement caching strategies to reduce latency and improve system throughput.
• Build and manage services leveraging AWS cloud infrastructure.
• Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
• Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
• Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
• Monitor system performance, identify bottlenecks, and apply proactive fixes.
• Drive best practices in software engineering, testing, and code reviews. 

Requirements—

• 5+ years of experience in backend engineering, with deep hands-on coding experience.
• Strong proficiency in Java and familiarity with modern frameworks.
• Proven track record in building scalable distributed systems.
• Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
• Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
• Strong grasp of query performance optimization and storage system design.
• Experience with caching solutions (Redis, Memcached, etc.).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Excellent problem-solving skills and ability to thrive in fast-paced environments.
• Strong communication and collaboration skills, with a proactive mindset.

Benefits—

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

We are seeking Senior Backend Engineers who can hack around multiple technologies and build highly scalable, low-latency, distributed systems with RESTful services. You will be responsible for developing new software products (internal) and solving complex technical challenges for scale-ups and enterprise companies. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Responsibilities—

• Writing clean, high-quality, high-performance, and maintainable code.
• Solving complex technical problems.
• Performing an objective analysis of the problem statement and coming up with an unbiased technical solution before writing a single line of code.
• Coordinating cross-functionally to ensure the project meets business objectives and compliance standards.
• Participating in and driving code reviews.
• Building robust, secure, and scalable microservices.
• Implementing RESTful services with a metric-driven API Gateway.
• Ensuring sub-second server response and will be responsible for implementing relational, document, key, object, or graph data stores, index stores and messaging stores as needed.
• Tracking defects and work with business owners and users to triage bugs and manage backlog
• Taking ownership to run and maintain Cloud infrastructure.
• Evaluating relevant technologies, influencing and driving architecture and design discussions.
• Architecting & designing the platform.
• Mentoring junior engineers helping them grow, performing code reviews, system monitoring & delegation.
• Writing documentation & create engineering processes.
• Working as an individual contributor.
• Helping drive KPIs with Product.
• Taking ownership of backend systems.
• Helping with unit tests & QA process.
• Scaling the engineering team.
• System scaling to hundreds of millions of users.
• Working with product managers and designs.

Requirements—

• Overall 5-10 years of experience in software development with a strong base in Golang/Java/Python and a degree in Computer Science(optional).
• Experience with Go, K8, Docker, AWS, and CI/CD.
• Experience with micro web frameworks – like Springboot, Gin/Mux.
• Experience in working with microservice architectures, Transactional systems, and Distributed environments.
• Exposure to building RESTful APIs with monitoring, fault tolerance, and metrics (with something like Hystrix).
• Experience with MySQL, and NoSQL (Cassandra, Redis, DynamoDB).
• Experience in server-side services using ElasticSearch and ESB - Camel, ActiveMQ.
• DevOps experience.
• Experience with AWS stack.
• Excellent attention to detail.
• Outstanding written and verbal communication skills.
• To be a self-starter who can work well with minimal to no guidance in a fluid environment.
• To be excited by challenges surrounding the development of highly scalable & distributed systems.
• To be agile and able to adapt quickly to changing requirements scope and priorities.
• To be experienced in working on massively large-scale data systems in production environments.
• To have led or mentored an engineering team before(optional).
• To have contributed to open-source projects.
• To have a strong drive & desire for continued growth.
• Proficiency in English.
• Experience with Web3(optional).

Benefits—

• Best-in-class salary: We hire strong talent and compensate accordingly.
• Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
• Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
• High-impact work: Build AI-first systems and products used at scale by global clients.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

We’re seeking a highly skilled, execution-focused Senior Backend Engineer with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.

You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.

Responsibilities—

• Design, develop, and maintain distributed backend systems at scale.
• Write high-performance, production-grade code in Java.
• Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
• Implement caching strategies to reduce latency and improve system throughput.
• Build and manage services leveraging AWS cloud infrastructure.
• Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
• Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
• Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
• Monitor system performance, identify bottlenecks, and apply proactive fixes.
• Drive best practices in software engineering, testing, and code reviews. 

Requirements—

• 5+ years of experience in backend engineering, with deep hands-on coding experience.
• Strong proficiency in Java and familiarity with modern frameworks.
• Proven track record in building scalable distributed systems.
• Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
• Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
• Strong grasp of query performance optimization and storage system design.
• Experience with caching solutions (Redis, Memcached, etc.).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Excellent problem-solving skills and ability to thrive in fast-paced environments.
• Strong communication and collaboration skills, with a proactive mindset.

Benefits—

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

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

We're seeking an experienced Senior Backend Engineer/Tech Lead to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic. Also, guiding the mentoring the junior team members

Responsibilities

• Design, develop, and deploy backend systems, including APIs, databases, and server-side logic
• Write clean, efficient, and well-documented code that adheres to industry standards and best practices
• Code Quality: Ensure code quality through code reviews, adherence to best practices, and continuous improvement
• Mentorship: Guide and mentor team members, fostering growth and innovation
• Collaboration: Work closely with stakeholders to align technical goals with business objectives
• Problem-Solving: Analyze and resolve technical challenges promptly
• Innovation: Stay updated with the latest technology trends and integrate them into solutions

Requirements

• At least 5+ years of experience building scalable and reliable backend systems
• Strong expertise in NodeJS/NestJS, Java, Express, PostgreSQL
• Experience with microservices architecture and distributed systems
• Proficiency in database design (SQL and NoSQL)
• Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines
• Deep understanding of design patterns, data structures, and algorithms
• Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes
• Familiarity with Frontend Development Technologies (React, JavaScript, HTML, CSS)
• Exceptional communication and leadership skills
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to effectively lead and maintain a collaborative team environment

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 ethic and culture

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

About the company

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

Founded by ex-Microsoft, 21 years & ex-Uber, Microsoft, Plaid founders, they are a 16-person team working on hard problems at the intersection of security, AI, and open source. 

Why this role is exciting 

They are at the forefront of supply chain security research and product development. They were the first to detect several major supply chain attacks in 2025 and 2026, including the axios npm compromise and tj-actions. Their research is regularly cited by Bloomberg, TechCrunch, Hacker News, and Dark Reading. The US Cybersecurity and Infrastructure Security Agency (CISA) has published advisories citing the company. 

Beyond their enterprise customers, the company has been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, and Datadog. 

This is a zero-to-one platform role. Today the AWS cost, service health visibility, and their release process are owned in pieces by engineers who are also shipping product. You will own all three end to end, as the first dedicated platform hire, with meaningful early-stage equity upside. 

Their stack 

GitHub.com for code repositories. GitHub Actions for CI/CD pipelines. AWS serverless for hosting our services: Lambda, API Gateway, DynamoDB, and S3. Backend services are written in Golang. 

What you'll do 

• Own AWS cost. Build real visibility into where our cloud spend goes, then drive it down. Put guardrails and anomaly alerting in place so cost regressions get caught in days, not at the end of the month. 
• Build service health visibility. Define and instrument the metrics that tell us whether the platform is healthy. Build the dashboards, set the SLOs, and wire up alerting that pages on real problems and stays quiet otherwise. 
• Own the release process. Design and implement how code gets from a pull request to production, including staged rollouts, rollback, release approvals, and change management that satisfies our enterprise customers and our ISO 27001 obligations without slowing engineers down. 
• Improve stability. Run infrastructure as code, tighten our incident response and on-call practices, and drive postmortems to actual fixes. 
• Secure our own pipelines. We sell CI/CD and cloud security, so our own build and deploy path should be the best reference implementation we have. You will run it that way. 

What we're looking for 

• 2 to 5 years of experience with strong engineering fundamentals. 
• Demonstrated AWS cost reduction. We want to hear what the spend was, what you did, and what it became. 
• Hands-on depth with AWS serverless in production, not just in theory. 
• Experience implementing metrics, dashboards, and alerting for service health, and evidence that it changed how the team operated. 
• Experience building or significantly improving CI/CD and release processes, ideally with GitHub Actions. 
• Comfortable writing code. Golang or Python, plus infrastructure as code. 
• An AI-native mindset, with prior hands-on experience building with or operating AI agents. 
• Early-stage startup experience. You are extremely hands-on and can drive a problem end to end without a team behind you. 
• A security background is a plus but not required. 

Run delivery for 15–25 backend, frontend, and AI engineers building construction- tech and CAD drawing-automation software — with structural engineers on one side of you and the codebase on the other. Must have Hands-on familiarity with AutoCAD, Revit or experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space

Role overview-

We are hiring one Technical Product Manager to own delivery across our engineering teams in Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and you will be the person who turns requirements originating with our structural and detailing engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards across it. You will sit in the design discussion and have a view on how and when — you will push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write production code. You are expected to read it, understand the system, and never be the least- informed person in a technical conversation you are chairing

What you’ll own- Delivery ownership

• Own the end-to-end delivery plan for every active workstream — scope, sequence,dependencies, capacity, and dates that actually hold.
• Break large, ambiguous product intent into engineering-sized increments with explicit acceptance criteria, agreed with the people who will build them.
• Run the operating cadence: planning, standups, refinement, demos, and retrospectives that change something the following week.
• Maintain one honest view of status — on track, at risk, slipped, and why — visible to the founders and to the team at the same time.
• Manage cross-team dependencies between backend, frontend, AI, and drawing-automation workstreams so no team idles waiting on another.
• Surface risk early, quantify it, and arrive with options — never an escalation without a proposal.
• Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not now when a plan cannot take more.
• Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post- release verification included.
• Own and improve the delivery metrics that matter: cycle time, predictability of committed scope, defect escape rate, and rework.
• Run the release calendar across two products so neither becomes the permanent second priority.

The floor & the team.

Our requirements do not come from a product spec written in a vacuum. They come from structural and detailing engineers sitting on the floor with decades of practice behind them. Converting that into software is the defining skill of this job.

• Partner with structural and detailing engineers to turn drawing standards, project practice, and domain expectation into unambiguous, implementable requirements
• Run requirement sessions whose output is a written spec — sample data, expected output,edge cases, and explicit non-goals — not a shared verbal understanding.
• Arbitrate the constant gap between “how it has always been done on site” and “what can be deterministically automated.”
• Set up validation loops so domain experts review generated output early and repeatedly, rather than at the end of a sprint.
• Maintain a decision log for domain rules so the same question is not re-litigated three sprints later by different people.
• Manage internal stakeholder expectations and, where relevant, commitments made to customers.
• Spot when a “small clarification” is actually a scope change, and handle it as one.
• Make sure engineers get access to the domain expert directly — your job is to structure that contact, not to become a relay in the middle of it.

Challenges you’ll solve.

We prefer to be candid. These are the problems that make this role genuinely difficult — and genuinely interesting.

Domain knowledge that arrives as tribal knowledge

Our structural and detailing engineers know what a correct drawing looks like, but much of that knowledge is tacit. Your job is to extract it into deterministic, testable rules before an engineer starts building. Getting this wrong is the single most expensive failure mode we have

— it produces work that looks finished and is not.

Three disciplines, one release

Backend (AWS serverless), frontend (Angular / React), and AI engineers ship into the same

product. They have different failure modes, different testing regimes, and different natural cadences. Sequencing them so nobody idles and nothing integrates late is the core scheduling problem here.

Correctness is not negotiable

This is construction software. A wrong drawing, a wrong quantity, a wrong permission, or a wrong payroll figure has consequences outside the screen. “Ship it and iterate” has limits here, and you will need judgement about exactly where those limits sit for each workstream.

AI workstreams do not estimate like CRUD

Drawing generation and extraction work is research-shaped: some weeks produce a breakthrough, some produce a negative result. You will plan around that uncertainty honestly— with timeboxes, decision points, and fallbacks — instead of pretending an unknown is a two-

week ticket.

Live customers, finite engineers

Companies run their operations on this platform daily. Production incidents, customer escalations, and enterprise integrations (Asite, Autodesk Construction Cloud) compete with roadmap work for exactly the same people. You will make that trade-off explicitly, every week,

and be able to defend it.

Two products, one organisation

The operations platform and the drawing-automation platform have different customers, different rhythms, and partly shared people. Keeping both moving — without either becoming the perpetual second priority — is a standing constraint on every plan you make.

Founder-adjacent, fast-changing priorities

Direction can change on new customer information, and sometimes it should. You are the shock absorber: re-plan quickly, communicate the change clearly and once, and make sure the team experiences it as a decision rather than as chaos.

Qualifications.

• 6–7 years minimum in software delivery, including at least 4 years directly managing engineering teams as a project, delivery, or engineering program manager.
• Proven experience running teams of 10+ engineers across more than one discipline —backend, frontend, mobile, data, or AI.
• Fluency in modern delivery practice — Agile / Scrum or Kanban applied with judgement rather than ceremony — plus genuine facility with Jira or Linear, Git workflows, CI/CD, and release management.

Strongly preferred

• Experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space — Autodesk, Bentley, Dassault, Siemens, PTC, Trimble, Hexagon, Ansys or similar.
• Exposure to AEC, construction tech, manufacturing, or industrial software where domain correctness matters more than interface polish.
• Experience managing teams that included AI / ML engineers alongside conventional product engineers.
• Hands-on familiarity with AutoCAD, Revit, Civil 3D, Tekla, or DXF / drawing-export workflows.

The bar, the process, the offer.

The manager we’re looking for

Technical enough to be trusted

Engineers respect the questions you ask, not just the dates you set.

Owns outcomes, not activity

Measures the job by what shipped and worked, not by how busy the board looked.

Direct and specific

Says the uncomfortable thing early, in plain language, to the person who needs to hear it.

Reduces chaos

Leaves every process, plan, and handoff simpler than they found it.

Holds opinions loosely

Strong views on how to run delivery, updated when the evidence changes.

Raises the standard around them

The team becomes more predictable and more capable because you are in it.

Location - Remote (India)

Key Responsibilities 

• Design, develop, and maintain database schemas, stored procedures, views, and queries in SQL Server and MySQL. 

• Identify and resolve query performance bottlenecks using execution plans, indexing strategies, and tuning techniques. 

• Conduct regular database health checks and performance reviews to ensure optimal operation. 

• Collaborate with development and operations teams to support application data requirements. 

• Write and optimize complex SQL scripts to meet business and operational needs. 

• Support the DBA Team Lead with day-to-day database operations and incident resolution. 

• Assist in monitoring database availability, integrity, and backups. 

• Document database structures, procedures, and changes in a clear and organized manner. 

• Implement best practices for data storage, retrieval, and processing efficiency. 

• Contribute to the continuous improvement of database standards and internal processes. 

• Identify and effectively prioritize situations requiring urgent attention. 

• Stay current with system information, database technologies, changes, and updates. 

• Experience with cloud-managed databases (e.g., Microsoft Azure SQL Database, Amazon RDS) and understanding of scaling, cost optimization, and high availability in cloud environments. 

• Hands-on exposure to database automation and CI/CD practices (schema versioning, deployment pipelines, Infrastructure as Code). 

• Strong knowledge of high availability and disaster recovery design, including replication, failover, and defined RPO/RTO ownership. 

• Familiarity with database security best practices (encryption, access control, auditing, and protection of sensitive/regulated data). 

• Experience with monitoring and observability tools, with a proactive approach to performance tuning and alerting. 

• Scripting ability (PowerShell, Python, or Bash) to automate routine database operations and reduce manual effort. 

• Experience with database migrations, version upgrades, or modernization initiatives (on-prem to cloud or legacy to current platforms). 

• Ability to operate in a DevOps-oriented environment, partnering closely with engineering teams and owning database performance tied to application SLA. 

• Proficiency in T-SQL and/or standard SQL. 

• Ability to multi-task and adjust priorities quickly in a fast-paced environment. 

• Ability to research and implement solutions using available technical resources. 

• Strong analytical and problem-solving skills with attention to detail. 

• Ability to clearly communicate technical concepts to non-technical stakeholders. 

• Advanced knowledge of database performance tuning and query optimization. 

• Familiarity with cloud database platforms such as Microsoft Azure SQL, AWS   RDS, or equivalent. 

• Experience with database deployment automation and CI/CD pipelines. 

• Understanding of high availability, disaster recovery, and data protection strategies. 

• Working knowledge of database monitoring and performance management tools. 

• Basic scripting skills (PowerShell, Python, or Bash) for automation. 

• Awareness of data security and compliance considerations in regulated environments. 

Required Skills 

• Proven working experience as a Database Administrator or in a similar role. 

• Working knowledge of Microsoft SQL Server (SSIS, T-SQL, DDL, SML) 

• Working knowledge of MySQL or MariaDB. 

• A minimum of 5 years of experience in database administration. 

• Understanding of database normalization and data modeling principles. 

Nice to Have 

• MacOS, iOS, Android, Linux OS beneficial but not required. 

• ETL processes or data warehouse experience beneficial but not required. 

• Microsoft Certified: Azure Database Administrator Associate or equivalent SQL Server certification preferred but not required. 

• MySQL certification preferred but not required. 

We are looking for a Senior Mobile Developer with deep React Native expertise to lead feature development on our investor-facing and advisor-facing mobile applications. You will own critical mobile modules end-to-end — from architecture through App Store release — and actively integrate AI capabilities into the mobile experience.

Key Responsibilities

●    Design and develop high-quality, production-grade React Native features for iOS and Android apps serving retail investors and wealth advisors.

●    Own module-level architecture decisions: navigation, state management, offline handling, performance optimisation, and security.

●    Integrate with backend APIs for real-time portfolio data, transaction processing, KYC workflows (Digilocker, V-CIP, eSign), UPI, and payment flows.

●    Implement AI-powered mobile features: intelligent recommendations, conversational interfaces, AI-assisted portfolio insights, and smart alerts.

●    Write unit tests, integration tests, and E2E tests; maintain high coverage on critical modules.

●    Conduct thorough code reviews; mentor junior and mid-level mobile engineers.

●    Optimise app performance: startup time, frame rates, memory profiling, and battery usage.

●    Manage app release pipelines: CI/CD, TestFlight/Play Console beta, App Store/Play Store deployment, and OTA updates.

●    Collaborate with Product, Design (Figma), and Backend teams in Agile sprints.

Required Qualifications

●    4–8 years of mobile development experience with 3+ years in production React Native apps.

●    Strong JavaScript/TypeScript fundamentals; deep understanding of React hooks, context, and performance patterns.

●    Experience with state management (Redux Toolkit, Zustand, or Jotai) and navigation (React Navigation v6+).

●    Hands-on with native modules/bridging when React Native abstractions are insufficient.

●    Experience with mobile CI/CD (Fastlane, GitHub Actions, Bitrise, or equivalent).

●    Knowledge of mobile app security: certificate pinning, biometric auth, secure storage, jailbreak/root detection.

●    B.Tech / B.E. in Computer Science or equivalent from a reputed institution.

Good to Have

●    Experience in fintech or BFSI mobile apps — MF transaction apps, trading apps, insurance apps, or payment apps.

●    Familiarity with SEBI/AMFI/IRDAI compliance requirements for digital financial products.

●    Exposure to LLM integration on mobile: streaming responses or AI assistant UX patterns.

●    Experience with React Native New Architecture (Fabric, JSI, TurboModules).

AI Expectations

●    Use AI coding assistants (GitHub Copilot, Cursor, Claude) as standard daily practice.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

Job Summary :

We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

- Containerization & Orchestration using Kubernetes.

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

- Monitoring & Incident Management

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 6+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

Job Title : Software Development Engineer II (SDE 2) – Java or Golang (Backend)

Experience : 3+ Years

Location : Bengaluru

Working Days : 5 Days WFO

Notice Period : Immediate to 15 Days

Interview Process : 3 Client Rounds

Job Overview :

We are looking for an SDE 2 – Backend with strong hands-on experience in Java / Spring Boot or Golang to design, develop, and maintain scalable, high-performance backend applications. Candidates with experience in caching services will be highly preferred.

Mandatory Skills :

Java, Spring Boot, Golang, Gin, gRPC, REST APIs, Microservices, MySQL / PostgreSQL / Oracle, System Design, Caching, Data Structures & Algorithms, Git, CI/CD, Docker, Kubernetes, AWS / GCP.

Key Responsibilities :

• Design, develop, test, and deploy scalable backend applications and APIs.
• Develop microservices using Java / Spring Boot or Golang.
• For Golang roles, experience with Gin and gRPC is preferred.
• Work with MySQL, PostgreSQL, Oracle, or similar databases.
• Design and optimize caching solutions for application performance.
• Participate in system design and architecture discussions.
• Conduct code reviews and write unit/integration tests.
• Troubleshoot bugs and performance issues.
• Collaborate with Product, QA, and other engineering teams.
• Contribute to CI/CD, cloud, and DevOps practices.

Requirements :

• 3 to 5 years of backend development experience.
• Strong proficiency in Java / Spring / Spring Boot or Golang.
• Good understanding of REST APIs, Microservices, DSA, and System Design.
• Experience with relational databases.
• Strong debugging and problem-solving skills.
• Exposure to AWS/GCP, Docker, Kubernetes, Git, and CI/CD.
• Java candidates with end-to-end application design experience are preferred.
• Exposure to AI/ML tools or Low-Code/No-Code frameworks is a plus.

Interview Process :

Round 1 – LeetCode / Coding Round

• Data Structures & Algorithms
• Problem-solving and coding proficiency

Round 2 – System Design

• System architecture
• Scalability and performance
• API and database design
• Caching and distributed systems

Round 3 – Hiring Manager Round

• Technical depth
• Project and ownership experience
• Problem-solving approach
• Communication and collaboration
• Role and culture fit

DevOps Engineer – 3+ Years

About the Role:

We are looking for a DevOps Engineer with 3+ years of hands-on experience to build and manage CI/CD pipelines, cloud infrastructure, containerized deployments, and production monitoring.

You will work closely with Architects, Developers, QA, and Integration teams to deliver secure, scalable, and production-ready applications across AWS and Microsoft Azure environments.

What You’ll Do

• Design, implement, and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools.
• Deploy, manage, and monitor applications on AWS and/or Microsoft Azure.
• Build and manage containerized applications using Docker.
• Provision and manage cloud infrastructure using Terraform / Infrastructure as Code (IaC).
• Configure IAM, Key Vault/Secrets Manager, networking, SSL, and secure deployment processes.
• Implement monitoring, logging, alerting, backup, and disaster recovery solutions.
• Troubleshoot build, deployment, and production issues in collaboration with development teams.
• Maintain deployment documentation, runbooks, and operational procedures.

What We’re Looking For

• 3+ years of experience in DevOps, Cloud, or Infrastructure Engineering.
• Strong understanding of DevOps principles and CI/CD practices.
• Hands-on experience with AWS and/or Azure.
• Experience with GitHub Actions, Azure DevOps, Jenkins, or similar CI/CD tools.
• Strong Linux administration skills.
• Hands-on experience with Docker and container lifecycle management.
• Working knowledge of Terraform or other IaC tools.
• Good understanding of DNS, SSL, Load Balancers, Firewalls, and Virtual Networks.
• Basic operational knowledge of PostgreSQL/MySQL.
• Strong troubleshooting and production support skills.
• 
  

Cloud Technologies:

AWS: EC2, IAM, S3, VPC, RDS, CloudWatch, ECR

Azure: App Services, Container Apps, Key Vault, Azure Monitor, Application Insights, Azure Container Registry

Good to Have

• Kubernetes (AKS/EKS) or Azure Container Apps.
• Prometheus, Grafana, ELK, CloudWatch, or Azure Monitor.
• GitHub Enterprise, Branch Protection, and CI/CD quality gates.
• Security tools such as CodeQL, Dependabot, Trivy, or SonarQube.
• Shell, Bash, PowerShell, or Python scripting.
• Microsoft Entra ID (Azure AD), OAuth, or SSO.
• Exposure to enterprise integrations such as Oracle, Kafka, REST APIs, or OIC.

What We Value

• Strong ownership and problem-solving mindset.
• Good communication and documentation skills.
• Ability to collaborate effectively in Agile teams.
• Passion for automation, security, and continuous improvement.

Role Description We are seeking a highly skilled and experienced Full Stack Developer with a strong background in product engineering. The ideal candidate will have hands-on experience in Java Spring Boot, Kafka, PostgreSQL, and REST API development. You will be working in a collaborative, cross-cultural environment, contributing to the design, development, and deployment of scalable software products

Key Responsibilities

• Design, develop, test, and maintain high-quality software solutions across the full stack.
• Build and implement RESTful APIs to support frontend and backend services.
• Collaborate with cross-functional teams across different cultures and time zones.
• Work closely with product and engineering teams to understand requirements and deliver features.
• Ensure code quality, performance, and scalability.
• Participate in code reviews and knowledge-sharing activities.

Required Skills and Qualification

• 2– 4 years of experience as a Full Stack Developer.
• Proven experience in Java Spring Boot development.
• Proficiency in Kafka for real-time data streaming and messaging.
• Strong knowledge of PostgreSQL and database design.
• Experience in designing and implementing REST APIs.
• Background in product engineering and working on scalable software platforms.
• Excellent verbal and written communication skills.
• Experience working in multi-cultural and global team environments.

Nice to Have 

• Experience with frontend frameworks (e.g., React, Angular, Vue).
• Familiarity with CI/CD pipelines and DevOps practices.
• Cloud platform experience (AWS).

Role Overview

We are seeking a technically strong Java Support Engineer who combines solid development knowledge with a passion for support and operational excellence. The ideal candidate should have hands-on experience in Java, Spring Boot, and Angular, along with a strong understanding of application engineering concepts, and must be comfortable working in a production support environment handling incidents, troubleshooting, monitoring, and system stability.

Work Location: Hyderabad or Chennai

Key Responsibilities

· Provide L2/L3 production support for enterprise applications.

· Troubleshoot, debug, and resolve application issues within defined SLAs.

· Analyze logs, identify root causes, and implement fixes or workarounds.

· Collaborate with development teams for permanent issue resolution.

· Monitor application health, performance, and availability.

· Support deployments, releases, and environment validations.

· Perform minor code fixes and enhancements when required.

· Document issues, solutions, and support procedures.

· Participate in on-call rotations and handle incident management.

Required Skills & Qualifications

· Strong hands-on experience in Java and Spring Boot.

· Working knowledge of Angular for frontend understanding.

· Good understanding of application architecture, APIs, microservices, and debugging techniques.

· Experience with log analysis tools, monitoring tools, and ticketing systems.

· Knowledge of SQL databases and query troubleshooting.

· Familiarity with Linux/Unix environments.

· Understanding of CI/CD, release processes, and version control (Git).

· Strong analytical, problem-solving, and communication skills

Location: Ahmedabad / WFO

Experience: 0–1 Year / Freshers

Internship: 6months ( leading to full-time employment )

About the Role

We are looking for a motivated DevOps Engineer Intern who is interested in Cloud, Automation, and Infrastructure. You will work with our engineering team on application deployments, cloud environments, CI/CD pipelines, and day-to-day DevOps activities.

What You'll Work On

• Work with Linux-based systems and perform basic troubleshooting.
• Use Git & GitHub for version control and team collaboration.
• Write basic Bash/Shell scripts to automate repetitive tasks.
• Work with Docker to build and run containerized applications.
• Assist with CI/CD pipelines and automated application deployments.
• Gain hands-on exposure to AWS, Azure, or GCP.
• Understand basic cloud networking, IAM, and security concepts.
• Troubleshoot deployment, application, and infrastructure issues.
• Maintain basic technical documentation and follow DevOps best practices.

Must-Have Skills

• Basic understanding of Linux.
• Hands-on knowledge of Git & GitHub.
• Basic Bash/Shell scripting.
• Understanding of Docker and containers.
• Basic understanding of at least one cloud platform (AWS/Azure/GCP).
• Understanding of CI/CD concepts.
• Basic networking concepts, including HTTP/HTTPS, DNS, ports, IP, and SSH.
• Good troubleshooting and problem-solving skills.
• Strong interest in DevOps, Cloud, and Automation.

Good to Have

• Hands-on experience with GitHub Actions.
• Basic knowledge of Terraform.
• Exposure to Kubernetes.
• Basic Python scripting.
• Personal DevOps/Cloud projects or a GitHub portfolio.
• AWS/Azure/GCP or DevOps certification.

What you'll bring

Design, build, and maintain developer platform capabilities that improve day-to-day engineering workflows across teams.

• Own and evolve CI/CD pipelines and deployment workflows, improving speed, reliability, and feedback loops.
• Build internal tools and services (CLIs, automations, dashboards) that support developer productivity and operational excellence.
• Improve local development environments, including dependency management and consistent developer setup.
• Drive adoption of engineering standards (quality, security, performance, observability) through templates, guardrails, and documentation.
• Partner with teams to identify friction points and implement scalable improvements (including self-service tooling).
• Continuously improve documentation, onboarding material, and internal enablement content for developers

What you'll bring

Do you fit the profile? 

  Technical Proficiency:

• Strong hands-on experience with JavaScript/TypeScript and building modern web applications and tooling.
• Hands-on experience with Generative AI and Agentic AI technologies, including designing, building, integrating, and leveraging AI-powered solutions to enhance products, platforms, or engineering productivity.
• Solid backend experience (e.g., Node.js, or equivalent platform services experience) and comfort building APIs and integrations.
• Strong experience with CI/CD systems (e.g., GitHub Actions, Azure DevOps) and modern delivery practices.
• Familiarity with cloud platforms (Azure preferred) and containerized development (Docker/Kubernetes).
• Experience designing scalable developer tooling and platform patterns (templates, shared libraries).
• Strong understanding of software craftsmanship: Clean Code, SOLID principles, maintainability, and documentation.
• Experience with testing strategies (unit, integration, end-to-end) and quality automation.
• Exposure to observability concepts and tooling (metrics, logs, traces; e.g., Grafana/Kibana/Application Insights).

    Nice to Have:

• Experience with monorepos, build systems, and performance optimization for large front-end codebases.
• Experience with platform security practices (secrets management , dependency scanning, security).
• Experience with developer portals, internal documentation systems, and knowledge management practices.
• Familiarity with event-driven architecture and integration patterns.

Essential Soft Skills:

• Strong analytical and problem-solving skills; able to identify root causes and propose pragmatic solutions.
• Excellent communication skills; can explain technical topics clearly to diverse stakeholders.
• Comfortable collaborating in multicultural, globally distributed teams.
• Proactive mindset and strong ownership - you see platform gaps and take responsibility for improving them.
• Ability to balance long-term platform strategy with short-term delivery needs and developer pain points.
• Critical thinking and a proactive mindset when supporting internal stakeholders.

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

WowPe is a leading fintech company revolutionizing the way businesses handle financial transactions. Our suite of innovative products includes a secure Payment Gateway for seamless online transactions, robust Payouts solutions to streamline bulk payments, and a versatile Point of Sale (POS) system for efficient in-store transactions. At WowPe, we’re dedicated to providing user-friendly, scalable, and reliable solutions that empower businesses to grow and succeed in today’s fast-paced digital economy.

We are looking for a highly skilled Cloud Infrastructure & Cloud Network Engineer to design, build, and manage secure, scalable hybrid cloud environments at WowPe. This role will focus on cloud networking, hybrid connectivity, infrastructure automation, security, reliability, and performance across on-prem and cloud platforms (AWS/Azure). You will play a critical role in ensuring high availability, security, and performance of our fintech platforms.

A Day in the Life

• Design and review cloud network architectures (VPC/VNet, routing, segmentation)
• Troubleshoot latency, connectivity, VPN, and performance issues
• Work with DevOps and application teams to support deployments and scalability
• Automate infrastructure provisioning and security guardrails
• Monitor network health, traffic flow, and system performance
• Ensure security, compliance, and disaster recovery readiness
• Support hybrid connectivity between on-prem data centers and cloud environments.

Key Responsibilities

Cloud Networking & Hybrid Architecture

• Design and implement VPC/VNet architectures, subnetting, routing tables, NAT, gateways, and secure segmentation
• Build and manage hybrid connectivity between on-prem data centers and cloud using Site-to-Site VPN, ExpressRoute, Direct Connect
• Configure and manage Layer 4 & Layer 7 load balancers for high availability and traffic distribution
• Architect DNS, CDN, and edge networking strategies for low-latency global access

Security & Zero-Trust

• Implement Zero-Trust networking using security groups, NACLs, identity-aware proxies, mTLS
• Design secure access controls and network isolation
• Work closely with security teams to ensure PCI, ISO, SOC compliance readiness

Automation, Platform & Reliability

• Automate infrastructure provisioning using Infrastructure as Code (Terraform/ARM/CloudFormation)
• Build self-healing, auto-scaling architectures with health checks and fault tolerance
• Support and manage Kubernetes clusters (EKS/AKS) including networking and service communication
• Integrate infra with CI/CD pipelines for safe and frequent deployments

Operations & Observability

• Perform advanced troubleshooting for latency, packet loss, MTU, routing loops
• Implement and manage monitoring, logging, and observability (Prometheus, Grafana, ELK, Azure Monitor, CloudWatch)
• Design and maintain disaster recovery architectures, multi-region networking, and replication strategies
• Ensure high availability, performance optimization, and cost efficiency

Basic Qualifications & Skills

• 4+ years of experience in Cloud Infrastructure & Cloud Networking
• Strong hands-on experience with AWS and/or Azure
• Deep understanding of VPC/VNet, routing, NAT, gateways, load balancers, DNS
• Experience with Hybrid connectivity (VPN, ExpressRoute, Direct Connect)
• Solid knowledge of network security, firewalls, access control, segmentation
• Hands-on experience with Infrastructure as Code (Terraform preferred)
• Experience in monitoring, troubleshooting, and incident handling
• Strong understanding of high availability, DR, and performance optimization

Preferred Qualifications

• Experience in fintech, BFSI, or high-compliance environments
• Exposure to Zero-Trust architecture and security best practices
• Experience with Kubernetes (EKS/AKS), service mesh, microservices networking
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of CDN, edge networking, and global traffic management
• Experience with compliance frameworks (PCI-DSS, ISO 27001, SOC2)
• Ability to design large-scale, resilient, production-grade architectures

Location - Bangalore

We are looking for a Staff Full stack Engineer with strong frontend expertise to help shape, scale, and continuously evolve our platform. In this role, you will take ownership of application architecture across the stack, drive frontend excellence, and influence engineering standards across multiple teams and products.

What You’ll Do -

• Define and evolve application architecture across frontend and backend systems, ensuring scalability, performance, and maintainability.

• Design and build modern, data-rich web applications to visualize and interact with complex industrial data.

• Take end-to-end ownership of critical features across the stack from discovery to release and observability.

• Drive frontend architecture, component design, performance optimization, and technical quality across teams.

• Contribute to backend services, APIs, and data integration layers where needed.

• Establish and promote best practices in design systems, code quality, testing, and CI/CD.

• Partner with Product, Design, Backend, and Platform teams to align on architecture and delivery.

• Mentor engineers and guide teams in adopting scalable patterns and modern engineering practices.

What You’ll Bring (Must-Have) -

• 10+ years of experience in software development with strong expertise in TypeScript and JavaScript.

• Deep hands-on expertise with a modern frontend framework (Angular preferred).

• Proven experience defining and scaling frontend architecture for complex, enterprise-grade applications.

• Strong experience with Node.js and backend service development (APIs, microservices).

• Solid understanding of API design, frontend-backend integration, and state management.

• Strong experience in Object-Oriented Design, system design, and service-oriented architecture.

• Hands-on experience with testing frameworks, observability, and CI/CD practices.

• Demonstrated ability to influence technical direction and drive engineering standards across teams.

Nice to Have -

• Experience with MEAN stack (Node.js, Express, MongoDB, Angular).

• Experience with microservices, event-driven architecture, or distributed systems.

• Experience with design systems, accessibility, and frontend performance optimization.

• Experience with 3D visualization libraries (e.g., WebGL, Three.js, Babylon.js).

• Experience with Docker, Kubernetes, and cloud platforms (Azure/AWS).

• Experience architecting or developing mobile applications (e.g., Flutter or similar frameworks).

• Exposure to data platforms, analytics systems, or GenAI/LLM-based applications.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions and high-performance digital infrastructure. Operating at the intersection of cloud engineering and enterprise software, the company empowers businesses to streamline their operations through robust, automated, and secure platforms. With a culture rooted in technical excellence and collaborative problem-solving, Euphoric Thought Technologies supports a diverse range of clients in optimizing their digital footprint and accelerating their time-to-market.

Role Overview:

As a Senior DevOps Engineer, you will serve as a cornerstone of our engineering team in Bangalore, taking ownership of the end-to-end reliability and scalability of our cloud environments. You will work closely with software developers, product managers, and security teams to bridge the gap between code development and production deployment. Your daily efforts will directly influence the stability of our platforms, ensuring that our infrastructure is not only resilient but also highly automated to support rapid business growth and seamless user experiences.

Key Responsibilities:

- Architect and maintain highly available CI/CD pipelines to accelerate software delivery cycles and ensure consistent deployment quality across environments.

- Manage and scale containerized applications using Kubernetes and Docker to optimize resource utilization and application performance.

- Implement Infrastructure as Code (IaC) using Terraform to ensure environment consistency and enable rapid provisioning of cloud resources.

- Automate routine operational tasks and configuration management using Ansible and Python scripts to reduce manual overhead and human error.

- Monitor cloud infrastructure health and security posture within AWS to proactively identify and resolve bottlenecks or vulnerabilities.

- Collaborate with cross-functional teams to define and implement best practices for cloud-native development, ensuring high standards of security and operational excellence.

Required Skillset:

- Demonstrated expertise in managing large-scale cloud computing environments on AWS, with a deep understanding of cloud architecture and cost-optimization strategies.

- Proven ability to design and maintain complex CI/CD workflows using Jenkins, ensuring seamless integration and delivery for high-traffic applications.

- Strong proficiency in scripting and automation using Python, with a focus on building reusable tools that enhance team productivity.

- Exceptional problem-solving skills and the ability to troubleshoot complex production issues in a high-pressure, fast-paced environment.

- Strong interpersonal skills with the ability to communicate technical concepts clearly to both engineering and non-technical stakeholders.

- Ability to work effectively in a hybrid work environment, demonstrating self-discipline and a proactive approach to team collaboration.

- A minimum of 7 - 8 years of professional experience in DevOps and infrastructure engineering roles.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 5+ years of professional data engineering experience.
• Experience designing and building cloud-native data solutions.
• Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.
• Strong SQL and Python programming skills.
• Experience with PostgreSQL or other relational databases.
• Experience orchestrating workflows using Apache Airflow or Cloud Composer.
• Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms.
• Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization.

Preferred Qualifications

• Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run.
• Experience building multi-tenant SaaS platforms.
• Experience implementing metadata-driven governance, lineage, and data quality frameworks.
• Experience supporting AI, machine learning, or customer-facing analytics platforms.
• Experience with Kubernetes and Docker.

Key Responsibilities  

1. Define and own the end-to-end automation strategy for an Android-based Instrument Cluster (AOSP/Android Automotive).
2. Design, develop, and maintain automation frameworks for UI, Android system services, boot flows, OTA validation, and Hardware-in-the-Loop (HIL) testing.
3. Automate system validation for boot performance, crashes, ANRs, memory usage, CPU/GPU performance, thermal behavior, and application launch times.
4. Validate power consumption, UI responsiveness, frame rates, Bluetooth, Wi-Fi, and network recovery scenarios.
5. Develop automated validation for CAN signals, ECU interactions, vehicle state transitions, and safety-critical display behavior.
6. Automate OTA testing, including A/B updates, rollback, recovery, and post-update stability.
7. Convert field issues into regression automation suites and support root cause analysis using logs and system traces.
8. Integrate automation into CI/CD pipelines and deliver actionable test reports with regression tracking.

Required Skills  

Mandatory  

1. 7–12+ years of experience in Test Automation for Android or Embedded Systems.
2. Strong experience with Android AOSP or Android Automotive at the system level.
3. Excellent Python programming skills for automation framework development and CI integration.
4. Hands-on expertise with:
5. UI Automator (mandatory)
6. Espresso
7. Monkey / MonkeyRunner
8. Experience with Android debugging and performance tools such as Logcat, Perfetto, Systrace, Dumpsys, and Simpleperf.
9. Strong understanding of CAN, ECUs, vehicle signals, diagnostics, and embedded system validation.
10. Experience integrating automation into Jenkins or GitLab CI pipelines.
11. Working knowledge of Java/Kotlin for Android integration.

Preferred  

1. Experience with Hardware-in-the-Loop (HIL) testing.
2. Knowledge of Android CTS, VTS, GTS, and Android Test Station (ATS).
3. Experience with OTA validation, A/B update mechanisms, and recovery testing.
4. Working knowledge of Yocto is a strong advantage.

Primary Technology Stack  

1. Languages: Python, Java/Kotlin
2. Automation: UI Automator, Espresso, Monkey/MonkeyRunner
3. Android Testing: CTS, VTS, GTS, ATS
4. Performance & Debugging: Perfetto, Systrace, Simpleperf, Dumpsys, Logcat
5. CI/CD: Jenkins, GitLab CI
6. Domain: Android Automotive, Embedded Systems, CAN, ECU, OTA, HIL

Experience: 7–12+ Years

Domain: Android Automotive | Embedded Systems | Test Automation

Job Title: Linux Vulnerability & Remediation Engineer

Location: Bangalore

Experience: 4–6 Years

Job Summary

We are looking for a Linux Vulnerability & Remediation Engineer with hands-on experience in securing and maintaining Linux environments. The ideal candidate should have expertise in vulnerability assessment, patch management, Linux administration, and automation.

Key Skills

• Strong experience with RHEL 7 & RHEL 9
• Linux Vulnerability Management & Remediation
• Linux Administration and Troubleshooting
• RPM/YUM package management
• CI/CD and automation (Shell scripting/Ansible preferred)

Responsibilities

• Identify and remediate Linux security vulnerabilities.
• Apply security patches and perform system updates.
• Troubleshoot Linux server issues and ensure system stability.
• Collaborate with security and infrastructure teams to maintain compliance.
• Automate routine administration and remediation tasks.

We are seeking an experienced, hands-on SDE 1/2 - FE to build and optimize scalable, user-friendly applications with a focus on micro frontend architectures. The ideal candidate will blend strong UI engineering skills with modern frontend practices, ensuring responsive, secure, and high-quality experiences aligned with business needs.

Responsibilities

●      Design & Build: Develop scalable, performant front-end applications using React, TypeScript, and Micro Frontend architecture.

●      Code Quality: Review PRs, enforce best practices, and introduce patterns to reduce technical debt.

●      UI/UX Excellence: Deliver pixel-perfect, responsive, and accessible UIs across devices and browsers.

●      Performance: Optimise rendering, bundling, caching, and load times for smooth user experiences.

●      Mentorship: Guide and mentor mid/junior engineers, run design/code walkthroughs, and foster a culture of technical excellence.

●      AI-driven Development: Leverage AI tools to accelerate coding, debugging, testing, and documentation in day-to-day workflows.

Criteria:

Experience: 2-3 years in software development, with proven expertise in React, modern frontend architectures, and building scalable user interfaces.

Technical Skills

●      Strong proficiency in React.js (v17+), TypeScript, and modern frontend workflows.

●      Experience with Micro Frontend architectures (e.g., Module Federation, Webpack, or similar approaches).

●      Solid expertise in HTML5, CSS3, and mandatory proficiency with Bootstrap for responsive design.

●      Knowledge of Blade templates for frontend-backend integration.

●      Good-to-have: Tailwind CSS and Material UI for component-based design systems.

●      Deep understanding of state management (Redux, Recoil, or equivalent).

●      Experience with frontend performance optimisation and browser dev tools.

●      Familiar with testing frameworks (Jest, React Testing Library, Cypress).

●      Proficiency with Docker and containerised environments.

●      Experience with CI/CD pipelines for frontend deployments.

●      Ability to effectively use AI-powered tools for code generation, refactoring, documentation, and productivity improvements.

Soft Skills

●      Clear and effective communication.

●      Strong sense of ownership and accountability.

●      Ability to break down complex problems and provide accurate estimates.

●      Openness to adopt new tools/technologies to improve team efficiency.

SENIOR PYTHON DEVELOPER

Designation: Senior Python Django Developer 

Position: Senior Python Developer

Job Types: Full-time, Permanent

Schedule: Day shift (On-site)

Supplemental Pay: Performance bonus, Yearly bonus

Ability to commute/relocate:  JP Nagar, Bangalore: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Experience: Back-end development: 5 years (Required)

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 5 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unit test, or factory boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture ( 
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.
•  

About the role

We’re hiring an IT Systems Administrator for an NBFC to secure endpoints, SaaS, and networks across ~50 branches, ~250+ field staff, and ~50+ office users.

This is primarily an IT Admin + Security role, with secondary exposure to AWS cloud ops + light DevOps + basic DB access management.

If you’re an IT Admin aiming to break into AWS Cloud Ops + DevOps, this role is a strong next step — you’ll own core IT/security and get hands-on exposure to cloud operations and deployments.

Key responsibilities (Primary: IT Admin + Security)

• Manage endpoint security for laptops and mobiles (policies, patching, encryption, antivirus/EDR); drive MDM implementation now/future (e.g., Intune/Jamf).
• Administer Google Workspace (Gmail/Drive/Calendar): users, groups, permissions, SSO, MFA, sharing controls.
• Own joiner–mover–leaver lifecycle: provisioning/deprovisioning, access controls, periodic access reviews.
• Secure branch connectivity: VPN, internal Wi-Fi, internet usage controls; coordinate troubleshooting and standardization across branches.
• Manage HO security stack: firewall operations, rule changes with change control, monitoring/log review (basic but consistent).
• Secure SaaS tools (CRM/HRMS/comms like Slack/Zoom): role-based access, MFA enforcement, offboarding, integration/OAuth controls.
• Maintain IT asset inventory: procurement coordination, issuance/return, audits, warranty/AMC, license renewals; remote lock/wipe for lost devices.
• Handle security incidents: phishing, account compromise, device loss/theft — contain, investigate, recover, and prevent recurrence.
• Run backups and basic DR testing; maintain SOPs/documentation and train staff on cyber hygiene.
• Provide hands-on user support: laptop builds, software installs, Outlook/Excel issues, VPN/Wi-Fi troubleshooting, escalations and vendor coordination.

Secondary responsibilities (AWS + DevOps + DB ops support)

• Support AWS administration: IAM users/roles/policies, MFA, access key hygiene, basic log review (e.g., CloudTrail).
• Manage AWS access controls: security groups/firewall rules, IP allowlists/whitelisting (admin tools, databases, vendor access).
• Assist engineering with DevOps operations:
• CI/CD support (deployment coordination, rollbacks, environment configuration)
• Secrets/credentials management and rotation (no shared creds)
• DNS + SSL/TLS certificates, basic monitoring/alerting coordination
• Bonus: Docker/Kubernetes and Terraform exposure
• Basic database operations (admin-lite):
• DB user creation, roles/permissions, least-privilege access
• IP allowlisting/whitelisting for DB access via VPN/approved sources
• Backup/restore verification coordination and basic monitoring signals (connections/storage)

Requirements

• 3+ years in IT security / systems administration (BFSI or branch-heavy org preferred).
• Hands-on with Google Workspace or Microsoft 365 administration.
• Must have hands-on experience leading or executing an email suite migration (e.g., Google Workspace ↔ Microsoft 365), including mailbox migration, DNS cutover, MX/SPF/DKIM/DMARC reconfiguration, and user transition management.
• Strong endpoint/security fundamentals: encryption, patching, AV/EDR, remote support, device compliance.
• Comfortable with networks: VPN/Wi-Fi/LAN troubleshooting; firewall basics and change discipline.
• Strong operational discipline: asset tracking, vendor management, documentation, ticketing, user communication.
• Practical AWS familiarity (IAM, access controls, logging) and ability to support DevOps workflows.

Nice to have

• Experience implementing MDM at scale (Intune/Jamf/SureMDM).
• Exposure to SOC2 / ISO27001 evidence, controls, and audit workflows.
• Scripting for automation (PowerShell/Bash/Python).
• Familiarity with managed databases and secure access patterns.

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 4+ Years

Location : Gurugram, Sector 48, Haryana (On-site)

Employment Type : Full-Time

Working Days : Monday to Saturday (1st & 3rd Saturday Off)

About the Role :

We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.

The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.

Mandatory Skills :

Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting

Key Responsibilities :

• Manage and maintain AWS cloud infrastructure.
• Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Deploy, monitor, and troubleshoot applications across production environments.
• Automate infrastructure using Terraform and Ansible.
• Manage Docker containers and Kubernetes clusters.
• Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
• Perform Linux server administration and troubleshooting.
• Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
• Collaborate with development teams to support application releases and automation.

Required Qualifications :

• Bachelor's degree in Computer Science or related field.
• 4+ years of hands-on experience in DevOps / SRE.
• Strong Linux administration and production troubleshooting skills.
• Experience with AWS and modern DevOps toolchains.
• Hands-on experience with application deployment and production support.

What We're Looking For :

• Strong practical Linux and cloud knowledge.
• Real production experience with application deployments.
• Ability to troubleshoot both infrastructure and application issues.
• Experience handling live production incidents.
• Excellent communication and problem-solving skills.
• Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.

Interview Process :

1. HR Screening
2. Technical Round
3. Client Technical Round
4. Final Discussion

Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.

Job Title : Senior Software Development Engineer in Test (Sr. SDET)

Experience : 5 to 10 Years

Location : Bengaluru (5 Days Work From Office)

Working Days : Monday to Friday (5 Days a Week)

Notice Period : Immediate to 15 Days

Interview Process : 2 Technical Client Rounds

Role Overview :

We are looking for a Senior SDET with strong expertise in Backend/API Automation Testing for Microservices-based applications.

The ideal candidate should have experience building scalable automation frameworks, validating distributed systems, and integrating automation into CI/CD pipelines.

Mandatory Skills :

Java, Backend Automation Testing, API Automation, REST Assured, Microservices, TestNG, JUnit, Maven / Gradle, CI/CD, SQL, Kafka / RabbitMQ / SQS, Docker, Kubernetes, REST APIs, Distributed Systems, Grafana / Prometheus / Kibana / Splunk.

Preferred Skills :

AWS / GCP / Azure, MongoDB, Redis, Cassandra, WireMock, Pact, JMeter, Gatling, k6, Python, Shell Scripting.

Key Responsibilities :

• Design and maintain API/backend automation frameworks.
• Perform functional, integration, regression, and end-to-end testing.
• Automate testing for microservices and event-driven architectures.
• Integrate automation into CI/CD pipelines.
• Validate asynchronous workflows using messaging systems.
• Collaborate with Development and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and improve automation best practices.

Required Skills & Qualifications :

• 5+ years of experience in Software Testing with a strong focus on Backend / API Automation.
• Hands-on experience testing Microservices-based applications.
• Strong expertise in REST API testing using REST Assured, HTTP Client, Postman, or similar tools.
• Excellent programming skills in Java with hands-on experience developing scalable automation frameworks.
• Strong experience with TestNG, JUnit, Maven/Gradle, and CI/CD integration.
• Hands-on experience validating asynchronous workflows using Kafka, RabbitMQ, AWS SQS, or similar messaging platforms.
• Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle, including complex queries and joins.
• Experience working with Docker, Kubernetes, and containerized applications.
• Experience validating applications deployed in Ephemeral or dynamic test environments.
• Good understanding of distributed systems and backend application architecture.
• Experience with observability and monitoring tools such as Grafana, Prometheus, Kibana, or Splunk.
• Strong understanding of software design principles, automation architecture, and test automation design patterns.

Preferred Skills :

• Experience with NoSQL databases such as MongoDB, Redis, or Cassandra.
• Knowledge of contract testing, service virtualization, and mocking tools such as WireMock or Pact.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Experience with performance and resilience testing tools such as JMeter, Gatling, or k6.
• Working knowledge of Python or Shell scripting.

Role Overview

As a Software Engineer, you will build and maintain features across our SaaS platform. You will work on well-scoped tasks and features, collaborate closely with senior engineers, and grow your skills in software design, cloud-native development, and modern engineering practices. This role is a great fit for engineers who have solid programming fundamentals, are curious and quick to learn, and take pride in writing quality code. You will be supported and mentored while taking on increasing ownership over time.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science or a related discipline.·       

5–8 years of software engineering experience building production-grade applications.

Strong experience building and operating cloud-native SaaS or web applications.

Solid understanding of software design, distributed systems, and modern engineering practices.

Proven ability to own and deliver complex features independently.

Experience debugging and resolving performance, scalability, and reliability issues.

What We Look For

Strong programming fundamentals and a quality mindset.

Curiosity and a strong desire to learn and grow.

Ability to deliver well-scoped tasks reliably.

Good problem-solving and debugging skills.

Collaboration and communication skills.

Ownership and accountability for the work you do.

Passion for building software and continuous learning.

Greetings from NAM Info Pvt Ltd,

Job Title: GCP DevOps Engineer

Location: Bangalore

Experience: 6+ Years

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Description:

We are looking for a GCP DevOps Engineer with hands-on experience in Google Cloud Platform and DevOps tools. The ideal candidate should have experience in CI/CD, cloud infrastructure, automation, and container technologies.

Required Skills:

• Experience with Google Cloud Platform (GCP)
• Knowledge of CI/CD tools such as Jenkins or GitLab CI
• Experience with Docker and Kubernetes (GKE preferred)
• Infrastructure as Code using Terraform
• Good knowledge of Linux and Shell scripting
• Experience with Git version control
• Monitoring tools such as Prometheus or Grafana is a plus
• Good troubleshooting and communication skills

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

Experience : 5 to 10 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 10 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

Job Description: Software Engineer / Core Engineer - Java Full Stack (GCP)

Location: Sholinganallur, Chennai - Work From Office (WFO)only chennai candidate

Experience: 6+ years of IT experience with 4+ years in Software Development [Ideal: 6-10 years]

Education: Bachelor's Degree [B.E./B.Tech or equivalent]

Employment Type: Full Time

About the Role:

This is a Java Full Stack Developer role with a strong GCP requirement. We are looking for a hands-on Software Engineer / Core Engineer to design, build, and scale cloud-native full-stack applications. Java, Spring Boot, Angular, and GCP are mandatory skills for this position.

Mandatory Skills:

• Full Stack Java Development
• Java
• Spring Boot
• Angular
• Google Cloud Platform (GCP)
• REST APIs & Microservices
• Agile Software Development

Preferred Skills:

• Data & Analytics on GCP: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, PostgreSQL
• Big Data & Orchestration: Apache Airflow, PySpark, Python
• IaC & DevOps: Terraform, Tekton, Maven, Gradle, SonarQube
• Frameworks & Tools: Spring Cloud, APIGEE, Swagger/OpenAPI
• UI/UX Collaboration

Roles & Responsibilities:

1. Design, develop, test, and deploy robust full-stack applications using Java, Spring Boot, and Angular.
2. Build and maintain scalable REST APIs and microservices-based architecture.
3. Develop responsive, high-performance Angular-based UI applications and collaborate with UI/UX teams for seamless user experience.
4. Design software architecture and end-to-end cloud-native solutions on Google Cloud Platform.
5. Work on GCP deployments, infrastructure setup, and cloud migration initiatives.
6. Follow and advocate Agile, TDD, CI/CD, and DevOps best practices throughout the SDLC.
7. Collaborate effectively with Product Owners, Architects, UI/UX teams, and cross-functional stakeholders.
8. Ensure application security, performance optimization, scalability, and high code quality with SonarQube, code reviews, and testing.

Ideal Candidate Profile:

• 6 to 10 years of total IT experience with strong hands-on development background.
• Strong expertise in Java, Spring Boot, Angular, and GCP - must have built production-grade applications.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and Cloud Deployment.
• Experience with Cloud SQL, PostgreSQL, and GCP data services is a plus.
• Good understanding of software architecture, distributed systems, and performance tuning.
• Excellent communication skills and proven experience working in Agile teams.
• Willingness to work from Sholinganallur, Chennai office (WFO).

What We Offer:

• Opportunity to work on cloud-native, large-scale platforms
• Agile and collaborative work culture
• Exposure to modern GCP data stack and DevOps ecosystem

*JD- Lead Developer*

 Seeking an experienced C++/Qt Tech Lead to lead the design and delivery of high-performance, cross-platform software solutions. In this role, you will own technical architecture, drive engineering best practices, and mentor the team while collaborating closely with product and stakeholder groups.

Title: Lead Developer

Location: Bengaluru

Qualifications: Bachelor’s or master's degree in computer engineering or computer science.

Experience 10+ years of experience.

Type: Full-time

Skills Required

Bachelor’s or master's degree in computer science, engineering, or a related field.

10+ years of professional experience in C++ development, including ownership of complex modules or systems.

* Deep expertise in the Qt framework (Qt Widgets) for building robust, cross-platform desktop applications.

 Strong understanding of OOP principles, design patterns, and system design; able to guide design reviews and trade-off decisions.

 Proven experience building multi-threaded, performance-critical applications with a focus on concurrency and stability.

 Strong knowledge of modern C++ and standard libraries; comfortable with writing clean, testable, and maintainable code.

 Hands-on expertise in debugging, profiling, and performance optimization using appropriate tools and techniques.

 Strong problem-solving skills with the ability to take ownership in ambiguous situations and deliver results.

 Excellent communication and leadership skills; able to align teams and stakeholders on technical direction.

Tasks & Activities

Proven, real-world experience architecting or leading healthcare applications, medical imaging, and graphics computing platforms.

 Good understanding of CI/CD concepts, build and release automation, advanced computing, and core data structures.

 Experience working in Agile/Scrum development environments. (must)

 Strong working knowledge of version control systems such as Git (SVN is a plus).

 Demonstrated experience designing systems for imaging datasets and other performance-critical workflows.

 Experience applying AI/ML to medical or dental image analysis.

 Exposure to assisted or automated diagnostic systems is a plus. Training staff / Onsite clients on software use.

 Incorporate new technologies into the products.

 Create technical and regulatory documents for the project.

Roles & Responsibilities

• Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
• Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
• Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
• Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
• Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
• Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
• Define AI platform architecture, operational excellence, SLAs, and incident management practices.
• Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Ideal Candidate

1.Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2.Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3.Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4.Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5.Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6.Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing

7.Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8.Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9.Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10.Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11.Mandatory (Age) - Candidate's Age should be below 37 years.

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

13.Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14.Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15.Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

We are seeking a Senior Android DevOps Engineer with 4+ years of specialized experience in mobile engineering pipelines. In this role, you will own, scale, and optimize our Android continuous integration and deployment (CI/CD) infrastructure. You will work closely with mobile development and QA teams to accelerate release cycles, ensure tight build security, and automate the journey from local code commit to the Google Play Store.

Key Responsibilities

1. ● Own CI/CD Infrastructure: Build, maintain, and scale robust mobile-specific CI/CD pipelines using platforms like Bitrise, GitHub Actions, or GitLab CI.
2. ● Automate Release Workflows: Design and implement end-to-end automation for Android builds (APK/AAB), test execution, and deployment using Fastlane and Gradle.
3. ● Manage Store Deployment: Oversee and automate app distribution via the Google Play Console, managing internal, closed testing, and production rollouts.
4. ● Secure Code Signing: Maintain the integrity of Android keystores, API keys, and certificates using secure secrets management tools.
5. ● Optimize Build Performance: Monitor and actively reduce build times, resolve dependency caching issues, and ensure infrastructure cost efficiency.
6. ● Quality & Observability Integration: Embed automated UI/unit testing (Espresso, Appium) and crash/performance tracking tools (Firebase Crashlytics, Sentry) directly into the pipeline.

Required Skills & Qualifications

1. ● Experience: 4+ years of dedicated experience in Mobile DevOps, Release Engineering, or Android Development with a heavy focus on infrastructure.
2. ● Build Systems: Deep, hands-on expertise with Gradle, ProGuard/R8, and the Android SDK.
3. ● Automation Tools: Advanced proficiency with Fastlane and scripting languages like Bash, Python, or Groovy.
4. ● Version Control: Solid understanding of version control best practices and Git branching strategies (e.g., Gitflow, Trunk-based development).
5. ● Problem Solving: Ability to diagnose and resolve build/environment issues independently.
6. ● Cloud & Containers: Solid understanding of Docker, cloud runners (AWS/GCP), and infrastructure as code.

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Cloud Expertise(Azure):

• Strong understanding of cloud services and resources like AI services, webapp, database, including monitoring tools like Azure Monitor and Log Analytics.

• Experience with Infrastructure as Code (IaC) tools such as Arm template / Bicep/Terraform.

• Deep understanding of Networking concepts(DNS, DHCP , Hub and Spoke).

• Understanding on policies and security aspects of cloud.

Kubernetes & Helm:

• In-depth knowledge of Kubernetes concepts such as pods, services, ingress, config maps, and secrets.

• Understand of Kubernetes templates and its deployment.

• Proficiency with Helm/ Kustomize or equivalent for Kubernetes package management and deployment automation.

• Implement Kubernetes best practices, including security, networking, and scaling.

• Concepts of Docker and Containers

CI/CD & Programming:

• Hands-on experience with YAML-based CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).

• Familiarity with scripting and automation tools such as PowerShell, Azure CLI, or Bash.

• Proven skill in python programming and concepts.

Monitoring and Observability:

Expertise in creating and managing Grafana dashboards for visualizing metrics and logs.

• Knowledge of Log Analytics & Azure Application Insights for performance monitoring and tracing.

Key Responsibilities

• Performance Testing: Design and execute large-scale strategies using Apache JMeter.
• CI/CD Integration: Embed performance testing into pipelines and automate workflows.
• Observability: Lead monitoring initiatives with Dynatrace.
• AI Insights: Leverage Davis AI for anomaly detection, insights, and root cause analysis.
• Automation Frameworks: Build frameworks for testing, reporting, and quality gates.
• Bottleneck Resolution: Diagnose and resolve issues across applications, APIs, databases, middleware, and infrastructure.
• ML Applications: Apply ML for workload modelling, traffic forecasting, and optimization.
• Collaboration: Partner with Dev, DevOps, Cloud, and Architecture teams.
• Governance: Define standards, best practices, and governance.
• Leadership: Mentor engineers and provide technical leadership.
• Executive Reporting: Present findings and recommendations to stakeholders.

Observability & Monitoring

• Strong hands-on experience with Dynatrace.
• Proven use of Davis AI in production.
• Expertise in APM, Observability, Root Cause Analysis, and Performance Diagnostics.

Automation & AI

• Experience developing Performance Automation frameworks.
• Proficiency in Python scripting.
• Applying AI/ML for traffic prediction, load simulation, workload modelling, and performance optimization.

Cloud & Infrastructure

• Strong experience with AWS, Azure, or GCP.
• Expertise in JVM tuning, database optimization, API performance analysis, and infrastructure monitoring.

Good-to-Have

• Experience with Gatling, k6, or LoadRunner.
• Exposure to Grafana and OpenTelemetry.
• Experience with Kubernetes Performance Tuning.
• Dynatrace certifications.
• Client-facing consulting or professional services background.

🚀 Job Title : Senior Full Stack Developer (Backend Heavy)

Experience : 8 to 15 Years

Location : Kasturi Nagar, Bengaluru (On-site)

Work Mode : 5 Days Work From Office

Employment Type : Full-Time

Notice Period : Immediate Joiners or Candidates serving notice (LWD within 15–20 days)

About the Role :

PluginHive is looking for a Senior Full Stack Developer with strong backend expertise to build and scale high-volume SaaS applications. The ideal candidate should have hands-on experience in Node.js, React.js, and AWS, with a backend-heavy profile and the ability to independently own applications from development to production.

Mandatory Skills :

Node.js, React.js, AWS, JavaScript/TypeScript, REST APIs, Microservices, SQL/NoSQL, Docker, CI/CD, System Design

Key Responsibilities :

• Develop scalable applications using Node.js and React.js.
• Design and manage cloud infrastructure on AWS.
• Own application development, deployment, production support, and scalability.
• Build REST APIs and microservices.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot production issues and drive performance improvements.

Requirements :

• 8 to 15 years of software development experience.
• Strong hands-on experience in Node.js, React.js, and AWS.
• Experience managing high-volume production applications.
• Strong AWS architecture and cloud ownership experience.
• Good understanding of Docker, CI/CD, databases, and system design.
• Ability to work independently and lead technical decisions.

Hiring Process :

• Round 1 : Screening Call
• Round 2 : Online Technical Interview (Coding, DSA, Project Discussion)
• Round 3 : In-Person Technical Architect Round (System Design & Problem Solving)

What We're Looking For :

We are specifically looking for engineers who :

• Have a backend-heavy Full Stack profile (not frontend-heavy).
• Have independently owned production applications.
• Have hands-on AWS architecture and infrastructure experience.
• Can manage deployments, production issues, database changes, and application scaling.
• Are capable of leading technical decisions and solving complex engineering problems.
• Have worked without relying entirely on a separate DevOps or Cloud team.

Note : Candidates who have only basic AWS knowledge or rely on a separate DevOps team for deployments and infrastructure management will not be considered.

🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience Level : 4+ Years

Location : Gurugram Sector 48, Haryana (On-site)

Employment Type : Full Time Opportunity

About the Role :

We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.

In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).

Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux

Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

• Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
• Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
• Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

• Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
• Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

• Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
• Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

• Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
• Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
• Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
• Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).

Required Qualifications & Skills :

• Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
• Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
• Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
• CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
• Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
• Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
• Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
• Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
• Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 5+ Years

Location : Gurugram, Haryana

Work Mode : On-site (Full-time)

About the Role :

We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.

Mandatory Skills :

AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux

Key Responsibilities :

• Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
• Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
• Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
• Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
• Automate operational tasks using Python, Bash, and Groovy scripting.
• Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.

Required Skills & Qualifications :

• Bachelor's degree in Computer Science, IT, Electronics, or a related field.
• 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
• Strong expertise in AWS, with exposure to Azure/GCP.
• Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
• Strong scripting skills in Python and Bash.
• Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Good understanding of Linux, networking, SQL, and cloud security best practices.

Preferred Skills :

• Experience with multi-cloud environments and DevSecOps practices.
• Knowledge of disaster recovery, automation, and microservices architecture.
• Strong troubleshooting, communication, and problem-solving skills.

Applicants must read the JD and understand the JD throughly

Job Title: Database & DevOps Engineer

Location: Chennai, Tamil Nadu (On-site/Hybrid)

Experience: 2+ years -

Job Summary

We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.

Key Responsibilities

Database Management

• Install, configure, monitor, and maintain SQL and NoSQL databases.

• Manage database backup, recovery, replication, and disaster recovery.

• Optimise performance through indexing, query tuning, and monitoring.

• Ensure database security, integrity, and availability.

• Troubleshoot database issues and provide timely resolutions.

DevOps, Infrastructure & AI Operations

• Design, implement, and maintain CI/CD pipelines.

• Automate infrastructure provisioning using Infrastructure as Code tools.

• Deploy and manage applications across cloud and on-premises environments.

• Configure and maintain containerised applications using Docker and Kubernetes.

• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.

• Configure and manage GPU-enabled infrastructure for AI workloads.

• Support model serving, vector databases, and AI application APIs.

• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.

• Maintain Linux servers and automate routine operational tasks.

• Implement secure management of credentials, secrets, model endpoints, and data access.

• Collaborate with development and AI teams to streamline deployment and release processes.

Mandatory Skills

• 2+ years of hands-on experience in Database Administration and DevOps.

• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.

• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.

• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.

• Experience with Docker and Kubernetes.

• Experience with AWS, Azure, or GCP.

• Knowledge of Terraform and Ansible.

• Strong Linux administration and shell-scripting skills.

• Experience with Prometheus, Grafana, ELK Stack, or Nagios.

• Working knowledge of networking, security, SSL/TLS, and load balancing.

• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.

• Experience deploying Python-based AI/ML services and APIs.

• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.

• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.

• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.

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

Preferred Qualifications

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

• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.

Technical Stack

• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases

• Cloud: AWS, Azure, GCP.

• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps

• Containers and IaC: Docker, Kubernetes, Terraform, Ansible

• Monitoring: Prometheus, Grafana, ELK Stack, Nagios

• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA

• Operating Systems: Linux—Ubuntu, CentOS, Red Hat

Soft Skills

• Excellent communication and collaboration skills.

• Strong ownership and accountability.

• Ability to work effectively in a fast-paced Agile environment.

• Proactive approach to troubleshooting and continuous improvement.

• Ability to manage multiple priorities and deliver on time.

Key Responsibilities

Build and maintain data transformation pipelines using Spark

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

Orchestrate workflows using Airflow

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

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

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

Required Skills & Qualifications

hands-on experience with HBase

Apache Spark

Experience with HBase or similar lakehouse query engines

Airflow 

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

Proficiency in Java

Experience with Git-based development and CI/CD

Nice-to-Have Skills

OpenTable format/Iceberg ,Apache Arrow

CDC-based analytics pipelines

Cloud platforms (AWS)

Kubernetes-based data platforms

About the opportunity:

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

Hiring Company: Sporty Group

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

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

Key Responsibilities:

• Manage AWS infrastructure and cloud operations

• Maintain Kubernetes clusters and Docker environments

• Build and improve CI/CD pipelines

• Monitor production systems using Grafana, Prometheus, and CloudWatch

• Troubleshoot Linux, networking, and infrastructure issues

Requirements:

• 3+ years of DevOps experience

• Strong AWS and Kubernetes experience

• Experience with Docker, Linux, CI/CD tools

• Good understanding of cloud infrastructure and automation

Apply here:

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

Required Technical Skill Set

MS Azure, M365, PowerShell

No of Requirements

1

Desired Experience Range

5 to 10 Years

Location of Requirement

Bangalore/Hydrabad

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·        Hands-on experience in Automating solutions in Power shell at L3 level

·        Experience in monitoring, troubleshooting, and executing Azure Runbooks for operational automation

·        Working knowledge of Microsoft 365 Groups management and support

·        String Experience in M365 License Management

·        Strong understanding of Agile methodologies, with experience working in Scrum or Kanban environments

·        Knowledge of Azure monitoring and diagnostics tools (Log Analytics, Application Insights, Alerts)

·        Good understanding of application security, reliability, and performance optimization in cloud environments

·        Excellent problem-solving, collaboration, and communication skills

·        Proficiency in DevOps practices, including CI/CD pipeline implementation and maintenance (Azure DevOps or GitHub Actions)

Good-to-Have

·        AZ-204

·        Good understanding of M365 Security and Compliance features, including retention, audit, and data governance policies

Job Purpose

The Senior Full Stack Developer leads the design, implementation, and optimization of business‑critical applications across the Epiroc digital ecosystem. The role drives architectural decisions, ensures security and performance compliance, and mentors junior developers to elevate overall delivery capability.

Key Responsibilities

Full‑Stack Development

• Lead the development, testing, and maintenance of scalable full‑stack applications.
• Architect and implement front‑end features using Vite, Webpack, Angular CLI, or React build pipelines.
• Develop robust back‑end services using ASP.NET/C# and REST APIs.

Identity, Security & Compliance

• Integrate authentication and authorization using Azure AD / SSO (OAuth2/OIDC).
• Ensure solutions follow IT Security principles, compliance requirements, and secure coding practices.

Cloud & DevOps

• Promote automation and Infrastructure‑as‑Code practices in Azure.
• Build and maintain CI/CD pipelines to ensure reliable deployments.

Agile Delivery

• Lead Agile ceremonies and ensure excellent sprint execution.
• Drive sprint planning, forecasting, and estimation accuracy.

Architecture & Technical Leadership

• Make informed architectural decisions related to scalability, performance, and maintainability.
• Mentor, coach, and guide Junior Full Stack Developers, supporting their growth and code quality.

Collaboration & Communication

• Work closely with Product Owners, Business Analysts, and cross‑functional partners.
• Communicate technical concepts clearly to both technical and non‑technical stakeholders.

3. Required Qualifications

Experience

• 5–7 years of hands‑on experience in full‑stack development roles.

Technical Skills

• Front‑End: Vite, Webpack, Angular CLI, React build pipelines.
• Back‑End: ASP.NET/C#, REST APIs.
• Identity: Azure AD / SSO.
• DevOps: Azure Infrastructure‑as‑Code, CI/CD.

Agile Expertise

• Strong understanding of Jira Sprints, sprint planning, and forecasting.

Architecture & Security

• Demonstrated experience in system design and architectural decision‑making.
• Solid understanding of IT Security principles and compliance.

Soft Skills

• Excellent time management and ability to work independently.
• Adaptability to change and strong communication abilities.

Leadership

• Proven ability to mentor junior developers and contribute to team development.

6. Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or comparable experience.

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

Experience : 5+ Years

Location : Mumbai (Work From Office)

Employment Type : Full Time Opportunity

Job Summary :

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

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

Mandatory Skills :

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

Key Responsibilities :

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

Required Skills :

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

Preferred Skills :

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