3,215 AWS (Amazon Web Services) Jobs in India

We are a UK-based ecommerce company looking for a hands-on AI Automation & Integrations Engineer based in India to work directly with the founder.

Our goal is to progressively build an AI-first ecommerce operation by using AI, automation, APIs and software integrations to reduce manual work, improve decision-making and identify opportunities to increase revenue and profitability.

This is not a traditional data science or prompt engineering role. We are looking for a builder who can understand real business problems and turn them into reliable working systems.

What you will work on

• Build AI-powered automations and internal tools
• Connect ecommerce platforms and business systems through APIs and webhooks
• Build AI agents and LLM-powered workflows
• Automate repetitive operational processes
• Work with Shopify and ecommerce data
• Build automated reporting, alerts and business intelligence
• Develop inventory forecasting and operational tools
• Integrate AI with customer service, marketing, fulfilment and other business systems
• Identify new areas where AI and automation can improve efficiency, revenue or profitability
• Maintain and improve existing automations

Required skills

• Strong Python experience
• Strong understanding of REST APIs and webhooks
• Experience building software integrations and automations
• Practical experience using LLM APIs such as Claude, OpenAI or Gemini
• Experience working with databases such as PostgreSQL
• Git/GitHub
• Strong problem-solving ability
• Good written and spoken English
• Ability to work independently and take ownership of projects

Highly desirable

• n8n
• Shopify Admin API
• GraphQL
• JavaScript/TypeScript
• AI agents
• LangGraph/LangChain
• MCP
• AWS/GCP
• Ecommerce experience
• Data extraction/scraping
• Customer service or marketing integrations

We value real projects and practical ability more than certificates.

Candidates should be comfortable showing examples of AI automations, integrations, agents or software systems they have personally built.

Location: Remote, India

Experience: 3-7 years

Salary: ₹15-22 LPA depending on experience

Key Responsibilities • Design, develop, and maintain scalable backend applications using Node.js, TypeScript, and Express.js. • Build and maintain microservices-based applications and APIs. • Work with MongoDB and at least one SQL database. • Implement Redis caching to improve application performance and scalability. • Work with AWS cloud services and support cloud-based application deployment. • Apply good understanding of network and infrastructure concepts while developing and troubleshooting applications. • Build and maintain CIICD pipelines for automated build, testing, and deployment. • use Git effectively for source control and collaborative development. • Containerize and deploy applications using Docker. • Write and maintain unit test cases using appropriate testing tools/frameworks. • Troubleshoot performance, scalability, and production issues and implement effective solutions. • Take end-to-end ownership of assigned modules and deliverables. • Work independently with minimal supervision and proactively resolve technical challenges.

Must-Have Skills • Node.js • TypeScript • Express.js • MongoDB • SQL — any one SQL database • Redis/ Redis Caching • AWSCloud • Network & Infrastructure fundamentals • Microservices Architecture • Docker • CI/CD Git • unit Testing / Test Automation • Abilityto work independently and take ownership Good to Have • Microsoft Azure knowledge • Experience working With Code Bots / Al-assisted development tools Lead N s Developer Pune • Domain experience in FinTech, Travel, ERP, or IoT Experience &

Other Requirements • 5—7 years Of relevant software development experience. • Strong hands-on experience in backend development using Node.js and TypeScript. • Good understanding Of scalable and distributed system design. • Strong problem-solving, debugging, and analytical skills. • Ability to independently manage tasks and deliver production-ready solutions. • Immediate joiners or candidates With a short notice period are preferred

Job Summary: We are seeking a highly skilled Full-stack Developer to join our dynamic team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python and front-end technologies, enabling them to design, develop, and maintain robust web applications. This role requires a proactive individual who can collaborate effectively with cross-functional teams to deliver high-quality software solutions that meet business needs.

• Proficient in Python programming language.
• Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript.
• Experience with front-end frameworks like React, Angular, or Vue.js.
• Familiarity with back-end frameworks such as Django or Flask.
• Understanding of RESTful APIs and web services.
• Experience with version control systems, preferably Git.

About the Organisation

DataFlow Group is a pioneering global provider of specialized Primary Source Verification (PSV) solutions, and background screening and immigration compliance services that assist public and private organizations in mitigating risks to make informed, cost-effective decisions regarding their Applicants and Registrants.

DataFlow with its best practices in this field such as a high level of data security, cutting-edge technology, rigorous processes, qualified research analysts, and a global network of over 100,000 issuing authorities, verifies professionals credentials from the primary issuer of the document - regardless of its nature.The company complements its advanced verification processes and long-standing industry expertise by adhering to the highest regulatory standards, including the Joint Commission International (JCI), International Organization for Standardization (ISO), and the European Union’s General Data Protection Regulation (GDPR).

About the Role:

We are looking for a Backend Architect / Lead who lives and breathes code. This isn't a role for someone who wants to delegate; it’s for a technical heavyweight who wants to own core product development, define backend architecture patterns, and build scalable, secure, and resilient systems from the ground up. You will join a fast-paced environment where we ship high-quality code under tight timelines. You’ll be expected to take full ownership of our server-side ecosystem, database design, and API layer, ensuring high availability, bulletproof operational excellence, and top-tier performance.

Duties and Responsibilities:

● Architect & Build: Design and implement complex, scalable microservices and monolithic architectures using Node.js, Express.js, and MongoDB (MERN backend stack).

● Heavyweight Coding: Spend the majority of your time writing high-quality, production-ready backend code. You should be comfortable solving complex systems problems using efficient Data Structures, Algorithms, and clean architecture principles.

● Performance & Data Engineering: Own database optimization, query performance, indexing strategies, caching layers (Redis), and system throughput to ensure low-latency API response times.

● Technical Leadership: Establish and enforce industry best practices for REST/GraphQL API design, security standards, code reviews, and automated CI/CD pipelines.

● End-to-End Ownership: Participate in the full SDLC—from initial ideation and system design to deployment, infrastructure setup, and production monitoring on AWS

Qualifications:

● The Deep Diver: You have spearheaded at least one large-scale, complex backend project or system redesign. You can explain every architectural decision, trade-off, database schema choice, and line of code in a deep-dive technical discussion.

● Experience: You have at least 8 years of professional software development experience, with a significant focus on high-traffic, distributed backend systems.

● Tech Stack Mastery: Expert-level proficiency in Node.js, Express.js, MongoDB (Mongoose/Aggregation framework), and TypeScript. Strong hands-on experience with AWS (EC2, S3, ECS/Lambda, CloudWatch) and containerization (Docker).

● Architectural Fluency: A solid understanding of modern backend patterns (Microservices, Event-Driven Architecture, Pub/Sub, Caching strategies, Message Queues like RabbitMQ/Kafka, State Management, and Authentication/Authorization protocols).

● Optimization Expert: Proven experience in tuning database performance, scaling server instances, managing connection pools, and debugging memory leaks or high CPU usage under heavy load.

● Grit & Speed: You thrive in high-pressure environments and enjoy the challenge of meeting tight deadlines without compromising on quality or system reliability.

Position: Technical Architect – Data Engineering

Job Summary:

• We are looking for an experienced Technical Architect to lead the design and implementation of modern cloud-based data platforms.
• The ideal candidate should have strong expertise in Azure and/or AWS, Databricks, Snowflake, modern data architecture, and large-scale data engineering.
• The candidate will work closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance data solutions.

Key Responsibilities

• Design enterprise-scale data lakehouse and data warehouse architectures.

• Define data ingestion, transformation, and serving architecture.

• Lead architecture discussions and technical governance.

• Design scalable ETL/ELT frameworks using Databricks and Snowflake.

• Define best practices for security, performance, CI/CD, and DevOps.

• Guide engineering teams on implementation.

• Collaborate with business, product, and data governance teams.

Must Have Skills :

• Azure or AWS

• Databricks

• Snowflake

• Data Lakehouse Architecture

• PySpark

• SQL

• Data Modelling

• ETL/ELT Architecture

• Performance Optimization

• CI/CD

• Terraform or Infrastructure as Code (preferred)

Preferred

• Insurance domain

• dbt

• Unity Catalog

• Delta Lake

• Iceberg

• Azure Data Factory / AWS Glue  

Develop and configure IVR / voice call flows based on business requirements.

Work on call routing, ACD, queues, transfers, prompts, menus, and announcements.

Configure and troubleshoot inbound and outbound call flows.

Perform testing, debugging, and production issue resolution for IVR applications.

Work with APIs and system integrations with a basic understanding of REST/API concepts.

Support contact-centre platform configuration and implementation activities.

Coordinate with application, API, infrastructure, and business teams for integrations and issue resolution.

Maintain technical documentation, call-flow diagrams, and configuration details.

Support deployment and post-production activities.

Role Summary 

We are seeking a Senior Software Developer with strong backend engineering experience and an AI-first, automation-focused mindset. The ideal candidate is proficient in JavaScript, Node.js, TypeScript, APIs, and AWS, with experience building scalable integrations and working in microservices environments. 

The role will also contribute to the adoption of AI-assisted and agentic development practices, including working with Model Context Protocol (MCP), AI agents, reusable skills/tools, and automation to improve engineering productivity. 

We are looking for someone who can work independently, challenge existing approaches, identify opportunities for automation, and drive solutions with minimal supervision. 

Key Responsibilities 

• Design, develop, test, and maintain backend services using JavaScript, Node.js, TypeScript, and XML. 
• Build scalable integrations using REST/JSON APIs and microservice-based architectures. 
• Develop and support services in an AWS cloud environment. 
• Use AI-assisted development tools to improve coding, debugging, testing, documentation, analysis, and code review. 
• Design and integrate MCP servers/tools to enable AI agents to securely interact with applications, APIs, data, and engineering systems. 
• Build or contribute to reusable AI agents, skills, prompts, tools, and automated engineering workflows. 
• Identify repetitive development and support activities that can be simplified or automated using AI or traditional automation. 
• Perform code reviews and ensure adherence to engineering, security, and coding standards. 
• Troubleshoot complex defects and production issues and perform structured root-cause analysis. 
• Collaborate with QA, Product, Business Analysis, and Architecture teams to deliver high-quality solutions. 
• Contribute to technical documentation, reusable solutions, and engineering knowledge sharing. 

Required Skills & Experience 

• Strong experience with Node.js, JavaScript, and TypeScript. 
• Strong experience designing and integrating REST APIs and JSON-based services. 
• Experience working with XML, including parsing, validation, and transformations. 
• Experience developing solutions in AWS and microservices environments. 
• Strong debugging, troubleshooting, and production-support skills. 
• Experience with AI-assisted software development tools such as Claude Code, GitHub Copilot, Cursor, Devin, or similar tools. 
• Understanding of LLMs, AI agents, tool calling, and agentic workflows. 
• Experience working with or building Model Context Protocol (MCP) servers and integrations. 
• Understanding of secure API/tool integration, authentication, permissions, and data handling when exposing capabilities to AI agents. 
• Ability to identify practical opportunities for AI, automation, and reusable engineering tooling. 
• Experience with CI/CD, Git-based development, and modern software engineering practices. 
• Experience performing code reviews and mentoring other developers. 
• Strong analytical, problem-solving, written, and verbal communication skills. 

Preferred Skills 

• Experience building AI-enabled developer tools, agents, or internal engineering platforms. 
• Experience with prompt engineering, structured outputs, RAG, embeddings, or LLM APIs. 
• Experience integrating engineering systems such as GitLab, Jira, CI/CD pipelines, APIs, databases, or observability platforms with AI agents. 
• Experience creating reusable MCP tools or agent workflows used by multiple developers. 
• Airline, travel, Offer/Order, reservation systems, or GDS experience is a plus. 

Mindset We Are Looking For 

We are looking for developers who think beyond implementing the immediate requirement and consistently ask: 

• Can AI or automation make this development process faster or more reliable? 
• Can this capability be built as a reusable tool, skill, agent, or MCP integration? 
• Can repetitive analysis, debugging, testing, or documentation be automated? 
• Can an existing solution be simplified or made more scalable? 
• How can AI be used responsibly without compromising security, quality, or maintainability? 

The goal is to build an engineering organization where developers use AI and automation as part of their everyday engineering workflow, while continuing to maintain strong software engineering fundamentals. 

AWS / Kubernetes / OpenShift / Linux – Job Description

Role: Cloud / DevOps Engineer

Experience: 4–8 Years

Location: Bangalore

Mandatory Skills: AWS, Kubernetes, OpenShift, Linux

Job Summary

Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.

Key Responsibilities

• Manage and support AWS cloud infrastructure and services.
• Deploy and manage applications using Kubernetes and OpenShift.
• Perform Linux administration, troubleshooting, and issue resolution.
• Monitor application and infrastructure health and resolve production issues.
• Work on containerized applications and deployments.
• Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
• Troubleshoot cloud, container, and Linux-related issues.
• Collaborate with development and operations teams for deployments and releases.
• Follow security, availability, and operational best practices.

Mandatory Skills

• Strong hands-on experience in AWS
• Good experience with Kubernetes
• Hands-on experience in OpenShift
• Strong Linux administration and troubleshooting skills
• Experience in cloud/container environment support
• Good production troubleshooting and incident management skills

About Shopalyst:

Shopalyst offers a Discovery Commerce platform for digital marketers. Combining data, AI and deep integrations with digital media and e-commerce platforms, Shopalyst connects people with products they love. More than 500 marquee brands leverage our SaaS platform for data driven marketing and sales in 30 countries across Asia, Europe and Americas. We have offices in Fremont CA, Bangalore, and Trivandrum. Our company is backed by Kalaari Capital.

About the Role:

• This position is responsible for end to end management of Shopalyst's cloud infrastructure platform (AWS and Google Cloud).
• Candidate should have a bachelor's degree in Computer Science and Engineering (or equivalent) plus minimum 3+ years of experience in managing AWS cloud infrastructure.

Core responsibilities:

Infra management

• Review infrastructure change requests, suggest & implement optimal solution in terms of performance, maintainability & cost
• Keep the infrastructure updated/upgraded. This includes servers, operating system, packages and application software
• Maintain all infrastructure configuration as IaC (Infrastructure as Code)

Infra monitoring and site reliability

• Continuous monitoring of infrastructure and ensuring 24x7 availability
• Implement/maintain automated alerting mechanisms for handling infra outages
• Document and maintain infra recovery procedures, ensure successful backup of critical data
• Continuously monitor infra utilization and alert on when to scale up/scale down instances

Infra Security, Compliance & Certifications

• Infrastructure access management - ensure least privilege as the default policy. Review infra access periodically. Manage access to critical systems like AWS/Open VPN
• Adherence to CIS/AWS security benchmarks on AWS Security Hub
• Implement controls required for different attestations/certifications like SOC 2 Type 2,ISO 27xxx, PCI DSS etc

DevOps

• Enable CI/CD process for application deployment

Infra cost monitoring and optimisation

• Services-wise infrastructure cost monitoring analysis and optimisation

Infra trends and new services

• Evaluate new cloud services, analyse feasibility of adoption

Required Skills and Experience:

• AWS: 3+ years experience with using a broad range of AWS technologies (e.g. EC2,S3, ELB, VPC,Route 53, IAM, CloudWatch, CloudFront, RDS, Lambda, Glacier) to develop and maintain an Amazon AWS based cloud solution
• DevOps: Solid experience as a DevOps Engineer in a 24x7 uptime Amazon AWS environment, including automation experience with configuration management tools.
• Infra automation: Experience in Terraform/Ansible
• Scripting Skills: Strong scripting (e.g. Python) and automation skills.
• Operating Systems: Linux system administration and strong shell scripting skills
• Monitoring Tools: Experience with web servers (e.g. Nginx).
• Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues.

Desired Skills (Not essential but beneficial to have):

• DB Skills: Basic DB administration experience - Cassandra, RDS, MySQL
• Search engines: Experience with search engines such as Apache Solr/Elastic Search
• Version Control: Experience administrating version control systems such as Git

Job Title : Tech Lead – Data Lake Platform

Number of Positions : 2

Experience : 7+ Years

Role Type : Technical Lead / Data Platform Lead

Domain : Data Engineering / Data Platform / AWS

About the Role :

We are looking for an experienced Tech Lead – Data Lake Platform to lead the design, development, and operations of an enterprise-scale AWS-based Data Lake Platform.

The platform will ingest data from multiple business systems, process it through structured data layers, and serve data for analytics, reporting, APIs, and operational applications.

As a Tech Lead, you will be responsible for setting the technical direction, leading data engineering teams, driving platform reliability and performance, and owning the platform's delivery, governance, and production support end to end.

Core Tech Stack :

AWS | S3 | EMR | Glue | Athena | Redshift | DMS | Lambda | RDS | IAM | Airflow | Spark/PySpark | SQL | Data Modeling | Hasura | GraphQL | DBT | PostgreSQL/Aurora | Kafka

Key Responsibilities :

• Own the overall Data Lake Platform architecture, covering data ingestion, staging, curated layers, consumption, analytics, and API/data serving.
• Lead the design and development of production-grade data pipelines using AWS Glue, EMR/Spark, Airflow, DBT, Athena, and Redshift.
• Design scalable batch and analytics pipelines with a focus on reliability, performance, data quality, and maintainability.
• Own the API/data-serving architecture from consumption data → RDS/PostgreSQL → Hasura GraphQL → Lambda/API Gateway.
• Drive improvements in platform stability, including orchestration failures, cluster sizing, pipeline SLAs, query performance, and production reliability.
• Design and implement appropriate AWS security, access control, IAM, PII handling, and data governance practices.
• Lead technical discussions, architecture decisions, code reviews, and engineering best practices.
• Mentor and guide data engineers while ensuring high-quality and scalable engineering delivery.
• Own production support, incident management, troubleshooting, and root-cause analysis (RCA) for critical data platform issues.
• Develop and maintain runbooks, operational procedures, monitoring, and incident response practices.
• Collaborate with business, product, application, and analytics teams to onboard new datasets and support reporting, API, and data consumption requirements.
• Ensure the platform meets defined availability, performance, security, data quality, and compliance requirements.

Must-Have Skills :

• 7+ years of experience in Data Engineering, Data Platform Engineering, or related areas, including experience in technical leadership or architecture.
• Strong hands-on experience with AWS Data Services, including:
• Amazon S3
• AWS EMR
• AWS Glue
• Amazon Athena
• Amazon Redshift
• AWS DMS
• AWS Lambda
• Amazon RDS
• AWS IAM
• Strong production experience with Apache Airflow.
• Strong hands-on experience with Apache Spark / PySpark.
• Strong SQL skills and experience with data modeling, including layered data architecture, data marts, and enterprise data models.
• Experience with Hasura or a similar GraphQL layer for PostgreSQL-based data/API serving.
• Strong understanding of data lake architecture and enterprise data platforms.
• Proven experience leading engineers and driving technical decisions.
• Hands-on experience with production support, troubleshooting, incident management, and RCA.
• Strong understanding of data platform performance, scalability, reliability, and SLA management.

Good-to-Have Skills :

• Experience with DBT and modern data transformation practices.
• Experience with lakehouse table formats on Amazon S3, such as Apache Iceberg or similar technologies.
• Strong knowledge of Amazon Redshift workload optimization, including :
• Distribution keys
• Sort keys
• Spectrum
• External tables
• Experience with Kafka or other streaming/data ingestion technologies.
• Experience with PostgreSQL / Amazon Aurora as a data-serving layer.
• Experience with Lambda and API Gateway for API-based data serving.
• Experience with enterprise data governance, data quality, security, and compliance.
• Experience in BFSI / Banking / Financial Services / Insurance domain.

Ideal Candidate :

The ideal candidate is a hands-on Data Platform / Data Engineering Lead who can operate at both the architecture and implementation level. You should be comfortable designing an AWS Data Lake from end to end, leading engineers, troubleshooting production issues, and working closely with business and application teams to deliver reliable data products.

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

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

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

THE HONEST VERSION OF THIS JOB

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

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

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

WHAT YOU WILL OWN

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

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

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

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

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

WHAT WE ARE LOOKING FOR

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

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

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

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

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

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

COMPENSATION AND SETUP

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

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

HOW TO APPLY

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

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

Data Architect – Databricks & AWS

• Strong experience in Data Architecture, Data Engineering, Databricks, Apache Spark/PySpark, Python, and Advanced SQL.
• Design and implement scalable ETL/ELT pipelines, data platforms, and Lakehouse architectures using Medallion Architecture.
• Experience with Databricks, Databricks Workflows, Unity Catalog OR Databricks Jobs
• Strong knowledge of Delta Lake, Databricks Workflows, Delta Live Tables (DLT), and dimensional data modeling.
• Hands-on experience with AWS services such as S3, Glue, IAM, Lambda, and CloudWatch.
• Experience with Apache Airflow, Data Warehouse concepts, Git/CI-CD, performance optimization, and data quality.
• Good to have exposure to Kafka/Structured Streaming, Unity Catalog, and modern data governance.

StarApps Studio is a product-driven SaaS company building Shopify apps that power thousands of online stores. We’ve developed 6 highly-rated Shopify apps (averaging 4.9★) used by 30,000+ Shopify merchants worldwide, including over 1,000 Shopify Plus stores. In just a few years, our bootstrapped team grew from $5.5M to $10M in Annual Recurring Revenue (ARR) by obsessing over quality and merchant success. We’re a tight-knit, 20-person team based in Baner, Pune, on a mission to help e-commerce brands create world-class shopping experiences.

Role Overview

We are looking for a Full Stack Developer who will own features end-to-end with an emphasis on backend excellence. In this role, you will design and optimize complex data models and API architectures in Ruby on Rails, implement robust background job queues (e.g. delayed_job) for heavy workloads, and perform rigorous performance tuning to ensure our systems scale. On the frontend, you'll build and integrate React components to deliver complete, user-friendly features. This is a role for someone who loves tackling deep technical challenges in the backend while also crafting intuitive user interfaces – an opportunity to leverage your backend expertise while driving full-stack product ownership.

Key Responsibilities

• Architect & Optimize Backend: Design scalable database schemas and efficient data models. Develop high-performance RESTful APIs and services in Ruby on Rails, ensuring clean, maintainable code and great performance.
• Backend API Development: Design, implement, and maintain robust backend services and RESTful APIs in Ruby on Rails to support new features and internal tools.
• End-to-End Performance Tuning: Optimize application performance across the stack – from minimizing frontend load times to improving backend query efficiency – for our high-traffic, data-intensive apps.
• Collaboration & Agile Delivery: Work closely with designers, product managers, and QA to translate requirements into technical solutions. Participate in sprint planning, code reviews, and daily deployments to ship features continuously and reliably.
• Quality & Maintenance: Write clean, maintainable code with appropriate test coverage (unit and integration tests) to ensure reliability. Monitor, debug, and resolve issues in production, and continually refactor and improve existing code for stability and performance

What We’re Looking For (Requirements)

• 4–8 Years Experience: Proven experience as a software developer in a product company (experience in e-commerce or SaaS is highly preferred). You have built real products used by actual customers at scale.
• Ruby on Rails Expertise: Strong command of Ruby on Rails. Experience designing RESTful APIs, working with MVC architecture, and using Rails best practices. You should understand how to structure large Rails applications for maintainability.
• Backend Proficiency: Comfortable building server-side applications and APIs with Ruby on Rails. You can implement business logic, integrate with databases, and create RESTful endpoints (bonus if you’ve worked with GraphQL or other backend frameworks).
• Database Skills: Proficiency with PostgreSQL (or similar RDBMS). Capable of writing complex SQL queries, optimizing queries/indexes, and designing efficient relational schemas. Familiarity with Redis or caching strategies is a plus.
• Front-End Proficiency: Comfortable building user interfaces with React and modern JavaScript/TypeScript. Able to implement frontend components that consume APIs and provide a smooth user experience.
• System Design & Quality: Solid understanding of web application architecture, performance tuning, and scalability concerns. Experience with profiling, benchmarking, and optimizing web applications. Commitment to writing clean, maintainable code with proper tests.
• Product Mindset: You care about the why behind the features. You are comfortable digging into requirements, questioning assumptions, and ensuring that we build solutions that truly solve merchant problems.
• Adaptability & Collaboration: Excellent problem-solving skills, communication, and ability to work in a fast-paced, collaborative environment. You are a self-starter who can take ownership of tasks and drive them to completion, but also know when to ask for help.

Tech Stack

• Frontend: React, TypeScript/JavaScript, HTML5, CSS3 (Tailwind/Bootstrap), modern build tools (Webpack, Babel).
• Backend: Ruby on Rails (REST APIs, background jobs), some services in Python.
• Database: PostgreSQL.
• Cloud & DevOps: Amazon Web Services (EC2, S3, RDS, CloudFront), Docker, CI/CD for daily deployments.
• Tools: Git (GitHub), Agile issue tracking (JIRA/Trello), and a keen use of automated testing.

(Don’t worry if you aren’t familiar with every item – we value willingness to learn. This is our current stack, and we continually adopt new technologies that improve our products.)

Why Join Us

• High Impact & Ownership: Your work will directly enhance the shopping experience of 50M+ shoppers daily. At StarApps, developers deploy code daily and see the immediate impact on thousands of merchants – you’ll own projects end-to-end and build features that matter.
• Fast-Growing, Profitable Startup: Join a bootstrapped, profitable company on an exciting growth trajectory (from $4M to $10M ARR). There’s no bureaucracy here – just a passionate team obsessed with product quality and merchant happiness. You’ll be part of our core team as we scale, with ample opportunities to grow into leadership roles.
• Cutting-Edge Tech & Challenges: Work with modern technologies (React, Rails, AWS) on performance-intensive applications. Tackle complex challenges in scaling, optimization, and UX for a global user base – continuously sharpen your skills in a supportive, learning-focused environment.
• Collaborative Culture: We are a small 25-person team that operates like a close-knit family. You’ll work side by side with experienced founders and a talented team that values innovation, humility, and continuous improvement. Our culture is open, empathetic, and growth-oriented – every voice is heard, and every team member plays a crucial role in our success.

Growth & Benefits: We invest in our team’s growth. Expect a competitive salary, performance bonuses, and whatever tools you need to do your best work. We sponsor professional development (courses, conferences, books) and encourage knowledge-sharing. You’ll enjoy a flexible leave policy, team off-sites, and the excitement of building a global product from our new office in Baner, Pune.

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

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

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

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

Key Responsibilities

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

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

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

retrospectives.

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

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

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

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

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

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

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

outputs.

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

done.

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

What We Are Looking For

• 6+ years of backend engineering experience.

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

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

PostgreSQL.

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

production operations.

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

• Demonstrated ability to improve delivery predictability and engineering throughput.

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

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

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

• Strong written and verbal communication skills.

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

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

Tech Stack

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

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

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

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

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

or order management experience.

AI-Assisted Engineering

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

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

• Running multiple human and agent-led workstreams concurrently.

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

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

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

• Measuring whether AI tooling produces genuine delivery improvements.

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

correctness of everything shipped by the team.

Success in the First 90 Days

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

• Take ownership of backend and DevOps execution.

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

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

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

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

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

Nice to Have

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

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

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

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

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

Who Will Succeed in This Role

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

Title                                : Elastic Search

Experience                   : 8+ yrs

Work Type                     : Remote

Notice Period            : Immediate Joiner

Working hours           : 09:00 a.m. to 06:00 p.m.

Work Days                    : Mon – Fri

Job Descriptions:

•       Experience with Elasticsearch - Mandatory.

•       Experience building Elasticsearch rest APIs in Java – Mandatory

•       Design and implement highly scalable ELK (ElasticSearch, Logstash, and Kibana) stack and ElastiCache solutions.

•       Experience in architecting data structures using Elastic Search and AWS infrastructure.

•       Understanding of AWS.

•       Experience in Bulk load process.

•       Good experience in query languages and writing complex queries with joins.

•       Experience in end to end Low-level design, development, administration, and delivery of ELK based reporting solutions.

•       Good to have experience in SpringBoot microservices

•       Experience working with open source libraries.

•       Experience working with code repositories such as Git, Gitlab, Github or Bitbucket.

Responsibilities:

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

Requirements:

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

Technical Skills:

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

Gen AI Full stack Developer:

We're looking for a Full Stack Software Engineer to help build Gen-AI applications for energy industry. If you are interested in leverage cutting-edge techniques to build APIs and complex data pipelines with end-to-end ownership of the feature you build alongside a team of some of the best engineers in the energy industry, then you will love working at Enverus. We are looking for a developer with a natural curiosity, and preferably someone who has full stack experience and a willingness to pick up additional skills on the job!

The Team:

You will join our software engineering team which focus on the forefront of innovation in the energy industry. Here, you'll be part of a highly collaborative and agile group dedicated to prototyping and leveraging cutting-edge technologies to develop new products and solutions. Come join the team and help pioneer Enverus’ mission to drive the future of energy.

What you will do: 

• Full Stack Development: Design and implement user-facing features using modern frontend frameworks (React, TypeScript) integrated with Python-based backend services 

• Scalable APIs: Develop RESTful APIs and microservices that power GenAI applications across the platform 

• Data Pipelines: Build and maintain data processing workflows using AWS services (S3, Lambda, DynamoDB, OpenSearch) 

• End-to-End Features: Own features from concept to production—frontend, backend, database, and deployment 

• GenAI Integration: Implement and optimize AI/ML model integrations, including LLMs and agentic workflows

• Modern Engineering: Work in an agile environment with CI/CD, automated testing, code reviews, and continuous improvement

What You Bring

Required

• Education: Bachelor's degree in Computer Science or related field

• Experience: 4+ years as a software developer with full stack exposure

• Backend Expertise: Strong Python, TypeScript skills with experience building APIs and backend services

• Frontend Proficiency: Experience with modern JavaScript frameworks (React, Vue, or Angular) and TypeScript

• Cloud Architecture: Hands-on experience with AWS services (S3, Lambda, DynamoDB, API Gateway)

• Database Knowledge: Proficiency with both relational (PostgreSQL/MySQL) and NoSQL databases

• DevOps Mindset: Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git)

• Problem Solving: Strong foundation in data structures, algorithms, and system design

• Communication: Excellent English communication skills; able to collaborate effectively across teams

ob Summary

We are looking for an experienced Site Reliability Engineer (SRE) / Production Support Engineer with strong hands-on experience in application and production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The ideal candidate will be responsible for ensuring the availability, reliability, performance, and stability of production applications and infrastructure. The role involves troubleshooting critical production issues, monitoring applications and infrastructure, supporting deployments, managing incidents, and driving automation and operational improvements.

Key Responsibilities

• Provide L2/L3 Application and Production Support for critical business applications.
• Monitor production applications, infrastructure, batch jobs, and system health.
• Handle and troubleshoot critical production incidents, ensuring timely resolution and minimal business impact.
• Participate in Incident, Problem, and Change Management processes.
• Perform root-cause analysis (RCA) for recurring and major production issues.
• Troubleshoot issues related to applications, networks, load balancers, databases, operating systems, and infrastructure.
• Monitor application and infrastructure performance using Splunk, APM, and other monitoring tools.
• Create and maintain Splunk queries, dashboards, alerts, and operational monitoring.
• Support production deployments, including Blue-Green and Canary deployment strategies.
• Work with cloud infrastructure and perform day-to-day Cloud Operations activities.
• Manage and troubleshoot containerized applications using Docker and Kubernetes.
• Work with Terraform / Infrastructure as Code (IaC) for infrastructure provisioning and automation.
• Support Linux and Windows server administration.
• Develop and maintain Shell scripts and Python automation scripts to reduce manual operational activities.
• Monitor and analyze SLIs, SLOs, Error Budgets, and Burn Rates.
• Identify reliability risks and proactively implement solutions to improve system availability and performance.
• Collaborate with Development, DevOps, Infrastructure, Network, Database, and Cloud teams during production incidents.
• Leverage GenAI tools such as GitHub Copilot, Claude, or similar tools to improve troubleshooting, automation, documentation, and operational efficiency.
• Participate in on-call/shift-based production support as required by business and customer needs.

Mandatory / Key Skills

• Production / Application Support
• Incident Management
• Production Monitoring & Batch Monitoring
• Splunk – Queries, Dashboards & Monitoring
• APM / Application Performance Monitoring
• SLI / SLO / Error Budget / Burn Rate
• Cloud Operations
• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• Linux & Windows Administration
• Shell Scripting
• Python Scripting / Automation
• Production Deployment Support
• Blue-Green & Canary Deployments
• Network, Load Balancing & Database Troubleshooting

​

Golang Developer

Experience: 6-8 years

Employment Type: Contractual(2 months), Full-time

Desired Skill: Golang, GRPC, RestAPIs, AWS

Work Mode: Pune, India

Availability: Immediate Joiners

This is the contractual opportunity on a full time basis.

Must have skills:

● 6+years of Software Development experience

● 5+years of GoLang programming; Prefers additional proficiency in either Java or Python

● Knowledgeable in writing REST APIs

● Comfortable programming in production grade systems

● Experience with building HTTP based services

● Strong background of optimizing performance

● Familiarity with event-driven systems

● Experience dealing with highly concurrent, distributed architectures/systems.

Good to have skills:

• Exposure to relational databases
• Experience with Cloud Providers such as AWS is an advantage; cloud privileged access (CIEM, IAM roles, ephemeral credentials)
• Experience using Terraform to manage infrastructure as code would be an advantage
• Hands-on experience building or extending Privileged Access Management (PAM) capabilities — credential vaulting, secrets management, password rotation, just-in-time / time-bound privileged access
• Working knowledge of privileged session management and session recording — session proxying/brokering, keystroke and video capture, session replay, live monitoring and termination, tamper-evident audit trails
• Familiarity with remote access protocols and gateways — SSH, RDP, HTTPS/web-based sessions; protocol proxying and man-in-the-middle session interception

• Bachelor’s degree in computer science, Data Science, Information Systems, or a related field  
• 8-10 years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering  
• Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure  
• Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn  

Job Specification:

Work Experience: 6.5+ years

Work Location: Hyderabad

Mode of Employment: Permanent

Work Mode: Hybrid

Education Qualification required: Any Degree

Job Description:

Looking for a Cloud Network Engineer with strong experience in AWS/Azure Cloud Networking, LAN/WAN, hybrid connectivity, routing, and troubleshooting. The candidate should have hands-on experience implementing and supporting cloud network infrastructure and resolving complex connectivity issues.

Key Responsibilities:

• Design, implement, and troubleshoot AWS/Azure networking environments.
• Configure VPC/VNet, subnets, route tables, NSG/Security Groups, NACLs, peering, and private endpoints.
• Work on VPN, ExpressRoute, Direct Connect, Transit Gateway, and hybrid connectivity.
• Configure and troubleshoot DNS, Load Balancers, NAT, routing, and network security.
• Troubleshoot LAN/WAN, routing, connectivity, latency, DNS, and packet-flow issues.
• Work with BGP, static routing, NAT, MTU, and high-availability concepts.
• Support cloud migration activities, connectivity validation, and cutover requirements.
• Coordinate with Firewall, Security, Cloud, Application, and Infrastructure teams.
• Prepare network documentation, implementation plans, diagrams, and troubleshooting reports.
• Exposure to Terraform/IaC for cloud network deployment is an advantage.

Mandatory Skills:

• AWS or Azure Cloud Networking
• LAN/WAN & Network Troubleshooting
• Routing & Switching
• VPC/VNet, Subnets, Route Tables
• VPN / Hybrid Connectivity
• DNS & Load Balancing
• BGP / TCP-IP / NAT
• Good communication and stakeholder coordination skills.

Role Description

Software Engineer is a full-time role based in Hyderabad with Onsite work arrangement. This role involves designing, developing, and maintaining back-end services and APIs, ensuring high performance, scalability, and security across platforms. The engineer will participate in architecture discussions, code reviews, and technical decision-making, collaborating closely with product owners, QA, and cross-functional teams. Daily responsibilities include writing clean, maintainable code, troubleshooting complex issues, improving system performance, and contributing to best practices, documentation, and engineering standards. The role also includes mentoring less experienced engineers and supporting continuous improvement in development processes and tooling.

Key Requirements/Skills

4-7 years of overall experience in software development with strong expertise in building scalable web & mobile applications.

• Strong technical decision-making ability, including architecture design, technology selection and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, NextJS and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, Express JS, Nest JS, RESTful APIs, API design, and server-side architecture.
• Databases : Good Hands on Exprience in both SQL(PostgreSQL Preferred) & No SQL Databases
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models and integrating AI-based solutions to solve business problems. Expereince with Langchain, langgraph and Vector DBs, Voice AI(STT, TTS) Models and experience in using Open AI Tools (Calude, Cursor, etc.)
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.
• Certifications in AWS & Other skills and technologies will be an added advantage.

Educational Qualification

• B.Tech / M.Tech in CSE/IT/AI&ML only from a recognized university/college. 

Job Title: Java AWS Kubernetes DevOps AI/ML

Experience: 8–10 Years

The candidate should have at least 1 year of experience in AI/ML and hands-on experience with the below technologies:

Java

AWS

Kubernetes

DevOps

AI/ML

MongoDB / PostgreSQL

Key-Value Caching

Vector Databases – ChromaDB / Pgvector

Job Summary

We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and AI solutions that address complex business problems. The ideal candidate should have strong hands-on experience in Python, Machine Learning, Generative AI, LLMs, and AI/ML deployment, with the ability to work across the complete AI/ML lifecycle.

Key Responsibilities

• Design, develop, and deploy scalable Machine Learning and AI models for real-world business use cases.
• Build and optimize ML pipelines covering data preparation, feature engineering, model development, evaluation, and deployment.
• Develop solutions using Generative AI, Large Language Models (LLMs), NLP, and deep learning.
• Work with LLMs, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
• Integrate AI/ML models with enterprise applications and APIs.
• Fine-tune and evaluate ML/LLM models based on business requirements.
• Implement MLOps practices for model versioning, deployment, monitoring, and continuous improvement.
• Collaborate with Data Scientists, Software Engineers, Architects, Product Managers, and business stakeholders.
• Conduct model performance evaluation, optimization, and troubleshooting.
• Ensure AI solutions meet requirements around security, scalability, reliability, responsible AI, and data privacy.
• Stay current with emerging AI/ML technologies, frameworks, and industry best practices.

Required Skills

• Strong programming experience in Python.
• Strong understanding of Machine Learning algorithms, statistics, and data structures.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent.
• Experience with Generative AI and LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or open-source models.
• Strong knowledge of Prompt Engineering, RAG, embeddings, vector databases, and AI agents.
• Experience with NLP, deep learning, or computer vision is an advantage.
• Experience developing and consuming REST APIs and microservices.
• Working knowledge of SQL and NoSQL databases.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and MLOps.
• Familiarity with Git and modern software development practices.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 4 years of relevant experience in AI/ML engineering or a related field.
• Experience building and deploying production-grade AI/ML solutions.
• Enterprise application development experience.
• Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or similar managed AI platforms.
• Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks is a plus.
• Experience with AI/ML model monitoring, evaluation, and optimization.

What You Bring

• Strong problem-solving and analytical skills.
• Ability to translate business requirements into practical AI/ML solutions.
• Strong software engineering and debugging capabilities.
• Ability to work independently as well as collaboratively in a cross-functional environment.
• Good communication skills with the ability to explain complex AI concepts to technical and non-technical stakeholders.

Keywords

AI Engineer | ML Engineer | Machine Learning | Generative AI | LLM | Python | NLP | Deep Learning | RAG | Prompt Engineering | AI Agents | Azure OpenAI | AWS Bedrock | MLOps | TensorFlow | PyTorch | Scikit-learn | Vector Database | Cloud AI

Location: Gurugram

Work mode: Hybrid

About Vijay Sales

Vijay Sales is a consumer electronics and appliances retailer, selling through its stores across India, its website and its app.

Our technology team builds the software the business runs on: order management, customer support automation over WhatsApp, reviews and ratings, and the dashboards our operations teams use every day.

The role

We are hiring full stack engineers who can take a feature from spec to production across React, Node.js and MongoDB.

You will work on customer-facing and internal products, often both in the same week. One sprint may be a review submission page used by customers on their phones. The next may be an API that pulls order status from our order management system for the support bot.

We are looking for engineers with 3 to 6 years of experience who are comfortable owning both the front end and the back end of what they ship.

What you'll do

• Build responsive, mobile-first interfaces in React using our in-house UI component libraries.
• Design and build REST APIs and background services in Node.js.
• Model data in MongoDB and keep queries fast as collections grow.
• Integrate with the systems the business runs on: order management, ERP, point of sale and ticketing.
• Build messaging flows over WhatsApp, email and SMS, including delivery tracking, retries and fallbacks.
• Work with the conversational AI team to expose order, invoice and support actions to the customer support bot.
• Write tests, review code and own your features in production, including monitoring and fixing what breaks.
• Work directly with product and operations teams to turn a business problem into a working release.

Our stack

React, Node.js and MongoDB are the core. Everything else in the table is what you will connect to or build alongside.

• Front end: React, with Vijay Sales' in-house UI component libraries
• Back end: Node.js services and REST APIs
• Database: MongoDB
• Messaging: WhatsApp Business, Amazon SES for email, RCS and SMS as fallback
• Conversational AI: LangChain and Rasa, behind the customer support bot
• Business systems: Order management (OMS), ERP, POS, Ticketing Systems

What we're looking for

• 3 to 6 years of professional experience building and shipping web applications.
• Strong JavaScript and TypeScript fundamentals: async patterns, the event loop, modules, error handling.
• Solid React skills: hooks, state management, component design, performance on low-end mobile devices.
• Hands-on Node.js experience: building REST APIs, authentication with JWT, role-based access, input validation.
• Working knowledge of MongoDB: schema design, indexing, aggregation pipelines.
• Experience integrating third-party APIs and webhooks, and handling their failures gracefully.
• Comfort with Git, code review, automated tests and CI/CD.
• Clear written and spoken communication. You will talk to operations and business teams, not only engineers.

Nice to have

• Experience with the WhatsApp Business API, Gupshup or similar messaging platforms.
• Exposure to LLM application development: LangChain, retrieval, tool calling, or bot frameworks such as Rasa.
• Background in retail, e-commerce or order management systems.
• Experience integrating with ERP or POS systems.
• Familiarity with AWS, Redis and message queues.
• React Native or other mobile app experience.

Why join and how to apply

• Your work reaches real customers and store teams quickly. There is very little distance between a release and the people who use it.
• You own features end to end, from the first conversation with the business team to production.
• You get hands-on exposure to conversational AI and LLM-based products alongside core full stack work.

**Please apply directly through our careers page**

Who We're Looking For

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

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

What You'll Do

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

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

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

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

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

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

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

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

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

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

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

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

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

What's Required

Experience & Education

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

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

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

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

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

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

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

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

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

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

Full-Stack / Frontend Exposure

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

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

Nice to Have

• Experience with Scrum/Agile development methodologies.

• Unix/Linux operating system knowledge.

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

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

Why You Should Join Us

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

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

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

To learn more,

visit www.provenir.com.

Equal Opportunity

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

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

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

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

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

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

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

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

🔹 The Non-Negotiables:

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

🔹 Why You'll Love It:

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

Jr Platform Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 0.6-2 years

Shift Timing: 2 PM to 11 PM IST

About Company

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally,It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

At this company, we value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

It is seeking a  TechOps Engineer! We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. It engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1+ years of experience as a Site Reliability Engineer, DevOps/ Technical project coordinator role.
• Proven experience of DevOps, SRE, or Technical Project Coordination with IoT or connected devices based platforms.
• Hands-on experience with cloud platforms such as AWS and Infrastructure as Code (IaC) tools such as Terraform.  
• Experience with incident management and on-call best practices. Provide support to on call engineers.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.
• 
  

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

Job Summary

We are looking for an experienced Site Reliability Engineer (SRE) with strong expertise in networking, DNS, load balancing, and hybrid cloud environments. The candidate will be responsible for maintaining the reliability, availability, performance, and scalability of production infrastructure and services.

The ideal candidate should have strong troubleshooting skills and experience working across network, cloud, infrastructure, and application environments.

Key Responsibilities

• Monitor and maintain the availability and reliability of production systems and services.
• Troubleshoot complex network, infrastructure, and application connectivity issues.
• Manage and troubleshoot DNS services, DNS resolution, records, and configuration issues.
• Configure, manage, and troubleshoot Load Balancers and traffic routing.
• Work with Layer 4 and Layer 7 networking and understand TCP/IP, HTTP/HTTPS, routing, and network connectivity.
• Support hybrid cloud environments involving on-premises infrastructure and public cloud platforms.
• Troubleshoot connectivity between on-premises data centers and cloud environments.
• Participate in production incidents, troubleshooting, root cause analysis (RCA), and problem management.
• Develop automation scripts and tools to reduce manual operational activities.
• Configure and maintain monitoring, alerting, and observability solutions.
• Work closely with Network, Cloud, DevOps, Security, and Application teams.
• Participate in on-call support and resolve production issues within defined SLAs.
• Document infrastructure, troubleshooting procedures, incident reports, and operational processes.
• Identify opportunities to improve system reliability, performance, and scalability.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.

Looking for a Cloud Network Engineer with strong experience in AWS Networking, LAN/WAN, hybrid connectivity, routing, and troubleshooting. The candidate should have hands-on experience implementing and supporting cloud network infrastructure and resolving complex connectivity issues.

### Key Responsibilities:


- Design, implement, and troubleshoot AWS networking environments.

- Configure VPC/VNet, subnets, route tables, NSG/Security Groups, NACLs, peering, and private endpoints.

- Work on VPN, ExpressRoute, Direct Connect, Transit Gateway, and hybrid connectivity.

- Configure and troubleshoot DNS, Load Balancers, NAT, routing, and network security.

- Troubleshoot LAN/WAN, routing, connectivity, latency, DNS, and packet-flow issues.

- Work with BGP, static routing, NAT, MTU, and high-availability concepts.

- Support cloud migration activities, connectivity validation, and cutover requirements.

- Coordinate with Firewall, Security, Cloud, Application, and Infrastructure teams.

- Prepare network documentation, implementation plans, diagrams, and troubleshooting reports.

- Exposure to Terraform/IaC for cloud network deployment is an advantage.

### Mandatory Skills:


- AWS Cloud Networking

- LAN/WAN & Network Troubleshooting

- Routing & Switching

- VPC/VNet, Subnets, Route Tables

- VPN / Hybrid Connectivity

- DNS & Load Balancing

- BGP / TCP-IP / NAT

- Good communication and stakeholder coordination skills.

What You Will Own 

Platform Architecture 

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

Event Streaming & Pipeline Infrastructure 

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

CI/CD & Deployment 

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

Observability & Reliability 

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

Acquisition Onboarding 

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

What We're Looking For 

Experience & Background 

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

SRE – Network / DNS / Load Balancer

Experience: 7–11 Years

Location: Hyderabad

Work Mode: WFO

Availability: Immediate Joiner

Job Description:

• Strong experience in Site Reliability Engineering (SRE) with focus on infrastructure and application reliability.
• Hands-on experience with Network, DNS and Load Balancer troubleshooting and administration.
• Monitor system performance, availability, latency and infrastructure health.
• Troubleshoot network connectivity, DNS resolution, routing and load-balancing issues.
• Experience with load balancers such as F5, BIG-IP, HAProxy or similar technologies.
• Good understanding of TCP/IP, HTTP/HTTPS, LAN/WAN, SSL/TLS and networking concepts.
• Experience with DNS technologies such as BIND, Infoblox or equivalent.
• Work on incident management, root cause analysis and problem resolution.
• Collaborate with application, network, cloud and infrastructure teams to resolve production issues.
• Experience with monitoring and alerting tools such as Splunk, Grafana, Prometheus, AppDynamics or similar tools.
• Strong troubleshooting, production support and communication skills.
• Willingness to work from Hyderabad office (WFO) and join immediately. 

As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.

If you are Interested DM me on LinkedIn - Saquib Mundagnur

 What You'll Own

CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.

Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.

Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.

Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.

Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.

Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend. 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.

- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).

- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.

- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.

- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team

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

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

What you will do?

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

What are we looking for?

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

You will be preferred if

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

Technical Skills -

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

Key Responsibilities -

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

Good to Have -

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

Role: Forward Deployment Engineer (FDE)

Company: Comprinno (NASSCOM-incubated, AWS Advanced Consulting Partner)

Experience: 5 to 8 years

About the Role:

Comprinno is hiring a Forward Deployment Engineer to work directly with customers, identify business challenges, and turn them into working AI solutions on AWS. This is a customer-facing role that blends consulting, solution architecture, and hands-on AI engineering.

Key Responsibilities:

• Run discovery workshops with customer stakeholders and translate business problems into technical solutions.
• Design AI and cloud solutions using patterns such as RAG, AI agents, and workflow automation.
• Build POCs, prototypes, and MVPs on AWS (Bedrock, Lambda, S3, API Gateway, DynamoDB, OpenSearch, ECS/EKS) and support the move to production.
• Develop GenAI and agentic solutions, including prompt strategies, evaluation frameworks, and retrieval pipelines.
• Demo solutions, train customer teams, and drive adoption.
• Document architectures and contribute reusable accelerators. Support presales and proposals.

Must-Have Skills:

• 5 to 8 years in solution engineering, technical consulting, presales, product engineering, or similar customer-facing technical roles.
• Hands-on experience building applications, integrations, or prototypes on AWS.
• Strong grasp of LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval.
• Experience with one or more of Amazon Bedrock, OpenAI, Anthropic, LangChain, LangGraph, or CrewAI.
• Experience delivering customer-facing POCs and running requirements or discovery sessions.
• Strong communication and stakeholder management skills, and comfort with ambiguity.
• Willingness to travel or be deputed to customer sites across India and internationally.

Good to Have:

• AWS Solutions Architect certification (Associate or Professional).
• Multi-agent systems, MCP, and AI observability or evaluation tools.
• Vector databases (OpenSearch, Pinecone, Weaviate, Chroma).
• DevOps and CI/CD exposure.
• Startup, consulting, or SaaS product experience.

Why Join Comprinno:

• Work at the forefront of GenAI, Agentic AI, and AWS.
• High ownership, with solutions going from idea to production in weeks.
• Exposure to diverse industries and to Comprinno's SaaS platform, Tevico.

About Comprinno:

Comprinno is a leading AWS consulting partner specializing in Cloud Transformation, DevOps, Managed Services, Data Analytics, Security, and AI. We help startups and enterprises build scalable, secure, and high-performing cloud environments on AWS.

Learn more about us at: comprinno.net

Job Title : DevOps / Infrastructure Engineer

Experience : 3+ Years

Location : Gurugram Sector 48

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

Employment Type : Full-time

Role Overview :

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

Mandatory / Non-Negotiable Skills :

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

Key Responsibilities :

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

Required Candidate Profile :

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

🚀 Hiring – Senior Full Stack Engineer | Java / Node.js / AWS 🚀

We are looking for an experienced Senior Full Stack Engineer with strong hands-on expertise in Java, Node.js, Frontend technologies and AWS Cloud.

🔹 Experience: 8+ Years

🔑 Mandatory Skills

✅ Java / Spring Boot

✅ Node.js – Backend

✅ REST APIs

✅ Microservices / SOA

✅ React / Angular / Vue.js

✅ AWS Cloud & Architecture

✅ AWS CDK – Must Have

✅ CloudFormation

✅ AWS Lambda

✅ Docker / Containerization

✅ CI/CD

✅ MongoDB

📌 Key Responsibilities

Design and develop scalable applications using Java, Spring Boot and Node.js.

Build and integrate REST APIs and microservices.

Develop responsive frontend applications using React, Angular or Vue.js.

Design and deploy cloud-native solutions on AWS.

Work with AWS CDK, CloudFormation, Lambda, ECS/EKS and API Gateway.

Build and manage Docker containers and integrate applications with CI/CD pipelines.

Work with MongoDB and event-driven architectures.

Support cloud migration from on-premise/PaaS applications to AWS.

Drive performance, reliability, security and cost optimization.

Participate in code reviews, TDD/BDD, Agile development and continuous improvement.

Provide production troubleshooting and participate in 24/7 on-call support rotation.

#Hiring #Java #SpringBoot #NodeJS #FullStackDeveloper #Microservices #ReactJS #Angular #AWS #AWSCDK #CloudFormation #Lambda #Docker #CICD #MongoDB #BangaloreJobs #HyderabadJobs #ITJobs

At Shipthis, we are building a better future for freight forwarders by evolving traditional operations into fully digital, efficient, and scalable systems. We’re a fast-growing product company where every individual has the opportunity to take ownership, move fast, and create real impact. If you enjoy solving complex problems, shaping products from the ground up, and influencing technical direction, Shipthis is the place for you.

Learn more at www.shipthis.co

Role Overview

We are looking for an associate-level SecOps Engineer to support security operations, compliance, endpoint management, cloud infrastructure, and DevOps engineering. The role will work closely with the CTO/CISO and engineering team. Security and compliance are core responsibilities; when those priorities are lighter, the engineer will focus on CI/CD, infrastructure automation, reliability, monitoring, performance, and cloud cost optimization.

What You’ll be Doing

Security Operations

• Monitor infrastructure, application, and security alerts and assist with incident investigation.
• Review access controls, privileged accounts, service accounts, permissions, and periodic access reviews.
• Support infrastructure hardening, logging, monitoring, backup, recovery, and other security controls.
• Track security issues and corrective actions through closure.

Vulnerability Management

• Run and review application and infrastructure vulnerability scans.
• Maintain a vulnerability register and coordinate remediation with engineering teams.
• Support VAPT and penetration-testing exercises and validate closure of findings.
• Monitor dependencies, containers, operating systems, and cloud infrastructure for known vulnerabilities and patching needs.

Compliance & Governance

• Support ongoing ISO/IEC 27001, SOC 2, GDPR, customer-security, and internal-policy requirements.
• Maintain audit evidence, control registers, security policies, procedures, risk items, and remediation records.
• Assist with internal/external audits, vendor assessments, customer security questionnaires, and asset inventories.
• Maintain evidence for access reviews, vulnerability management, incidents, onboarding/offboarding, backups, and infrastructure changes.

MDM & Endpoint Security

• Administer the company MDM platform and enroll/manage company laptops, desktops, and mobile devices.
• Maintain device inventory and monitor endpoint compliance.
• Enforce approved controls such as disk encryption, screen locks, password requirements, patching, and endpoint protection.
• Support employee device onboarding/offboarding, approved application deployment, lost/stolen-device procedures, and remote wipe where authorized.
• Maintain endpoint security and MDM evidence required for audits and troubleshoot enrollment or policy issues.

DevOps, CI/CD & Cloud

• Maintain and improve CI/CD pipelines, deployment workflows, build times, caching, and rollback processes.
• Support production and non-production cloud infrastructure, networking, DNS, TLS certificates, IAM, and secrets.
• Automate repetitive deployment, infrastructure, security, and compliance tasks.
• Improve monitoring, logging, alerting, reliability, resource utilization, and cloud costs.
• Troubleshoot pipeline, deployment, and infrastructure issues and participate in root-cause analysis.

Required Fundamentals

• Basic knowledge of Linux, networking, HTTP/HTTPS, DNS, TLS, Git, Docker, cloud computing, APIs, and web applications.
• Understanding of IAM, MFA, least privilege, vulnerabilities/CVEs, encryption, logging, patching, and secrets management.
• Strong troubleshooting, ownership, attention to detail, and willingness to learn.

Desired Qualifications

• 1–2 years of experience with strong fundamentals are welcome.
• Basic scripting knowledge in Python, Bash, or similar.
• Interest in cybersecurity, cloud infrastructure, automation, and troubleshooting.
• Exposure to AWS/GCP/Azure, Terraform, GitHub Actions, Cloudflare, OWASP, vulnerability scanners, MDM, ISO 27001, or SOC 2 is a plus, not mandatory.

We Welcome Candidates:

• Who can join immediately
• Female candidates returning to work after a career break are strongly encouraged.

We are an equal opportunity employer and are committed to fostering diversity and inclusivity. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, or disability status.

Job Synopsys

Location: Bangalore

Job Type: Full-time, Permanent

Experience: 1-2 years

Industry: Software Product

ABOUT

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

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

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

THE AI LAYER

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

THE OPPORTUNITY

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

You will be expected to:

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

WHAT YOU WILL BUILD & OWN

MOBILE

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

SOCIAL SYSTEMS

Relationships, social graph, compatibility, and interaction flows.

BACKEND

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

DATA

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

REAL-TIME

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

AI-ENABLED

Recommendations, personalization, and companion-powered experiences.

INFRASTRUCTURE

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

WHAT YOUR DAY-TO-DAY LOOKS LIKE

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

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

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

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

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

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

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

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

WHO SHOULD APPLY

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

• Fundamentals: Strong CS/software engineering fundamentals.

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

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

WHAT WE LOOK FOR

MOBILE CAPABILITY

Can you build and ship a polished mobile experience?

ENGINEERING DEPTH

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

PRODUCT JUDGMENT

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

ARCHITECTURE / SYSTEMS

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

SPEED OF EXECUTION

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

AI FAMILIARITY

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

BUILD WITH US

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

CAREERS:

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

https://forms.gle/12YpUSBY2Sqs5xjp8

www.thepersonalabs.com

Job Summary

We are looking for an experienced Senior Java + Angular Developer with 8+ years of strong hands-on experience in designing and developing scalable enterprise applications. The ideal candidate should have strong expertise in Java, Spring Boot, Angular, REST APIs, Microservices, and SQL, along with experience in delivering end-to-end applications.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java, Spring Boot, and Angular.
• Develop and maintain RESTful APIs and Microservices.
• Build responsive and reusable front-end components using Angular.
• Work with TypeScript, HTML, CSS, JavaScript, and Angular frameworks.
• Develop business logic and backend services using Core Java and Spring Boot.
• Design and implement database solutions using SQL and relational databases.
• Integrate front-end applications with backend REST APIs and external systems.
• Implement secure, scalable, and high-performance application architecture.
• Perform code reviews and ensure adherence to coding and design standards.
• Troubleshoot application issues and perform root-cause analysis.
• Write unit and integration tests and ensure code quality.
• Collaborate with product owners, business analysts, QA engineers, and other development teams.
• Participate in requirement analysis, technical design, development, testing, deployment, and production support.
• Mentor junior developers and contribute to technical decisions and best practices.

Required Skills

• 8+ years of software development experience.
• Strong hands-on experience in Java/J2EE.
• Strong experience with Spring Boot and Spring Framework.
• Good experience in Microservices architecture.
• Strong hands-on experience with Angular 8+.
• Strong knowledge of TypeScript, JavaScript, HTML5, and CSS3.
• Experience developing and consuming REST APIs.
• Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle.
• Good understanding of Object-Oriented Programming, design patterns, and data structures.
• Experience with Git and CI/CD practices.
• Good understanding of Agile/Scrum development methodologies.
• Strong debugging, troubleshooting, and problem-solving skills.

Good to Have

• Experience with AWS / Azure / GCP.
• Knowledge of Docker and Kubernetes.
• Experience with Kafka or other messaging systems.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
• Knowledge of Spring Security / OAuth2 / JWT.
• Experience with performance optimization and distributed systems.

🚀 Hiring – AWS / Kubernetes / OpenShift Engineer

📍 Location: Bangalore

💼 Experience: 7–10 Years

⚡ Joining: Immediate Joiners Only

🔑 Required Skills

• Strong hands-on experience in AWS
• Expertise in Kubernetes & OpenShift
• Strong Linux Administration & Troubleshooting
• Experience in containerized environments and platform operations
• Production support, monitoring and incident troubleshooting
• Good understanding of cloud and infrastructure technologies

📌 Interview Process

2nd Round – Face-to-Face Interview in Bangalore

👉 Please share profiles of candidates who are available for a F2F interview in Bangalore.

#Hiring #AWS #Kubernetes #OpenShift #Linux #CloudEngineer #PlatformEngineer #DevOps #BangaloreJobs #ImmediateJoiners #WFO #ITJobs

Job Summary:

We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.

Roles & Responsibilities:

• Design, deploy, and manage cloud infrastructure on AWS.
• Manage and administer Kubernetes and OpenShift environments.
• Deploy, configure, and troubleshoot containerized applications.
• Perform Linux administration, troubleshooting, and system monitoring.
• Monitor application and infrastructure performance and resolve production issues.
• Automate deployment and operational activities wherever possible.
• Work with development and operations teams to support application deployments.
• Ensure system availability, reliability, and security.
• Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
• Follow DevOps best practices for CI/CD, infrastructure management, and automation.

Required Skills:

• 7–10 years of relevant experience in Cloud/DevOps.
• Strong hands-on experience with AWS.
• Good knowledge of Kubernetes and OpenShift.
• Strong Linux administration and troubleshooting skills.
• Experience in containerization and deployment of applications.
• Good understanding of cloud infrastructure and production support.

Job Description:

We are looking for a Cloud Network Engineer with strong experience in AWS/Azure cloud platforms and networking. The candidate should have hands-on experience in LAN, WAN, network troubleshooting, and cloud networking.

Key Responsibilities:

• Manage and support networking infrastructure across AWS or Azure cloud environments.
• Configure and troubleshoot LAN/WAN networks and connectivity issues.
• Monitor network performance and resolve network-related incidents.
• Work with cloud networking components such as VPC/VNet, subnets, routing, VPN, and security groups.
• Troubleshoot connectivity between on-premises and cloud environments.
• Analyze and resolve network performance, latency, and connectivity issues.
• Collaborate with infrastructure, security, and application teams for network-related requirements.
• Perform network configuration, maintenance, and troubleshooting activities.
• Follow network security and infrastructure best practices.

Mandatory Skills:

• 6.5 years of relevant experience in Cloud Networking.
• Strong hands-on experience in AWS or Azure.
• Good knowledge of LAN, WAN, TCP/IP, DNS, DHCP and routing.
• Strong network troubleshooting skills.
• Experience with VPN, subnets, routing tables and firewalls.
• Good understanding of cloud networking concepts.
• Good communication and problem-solving skills.

Cloud Network Engineer – Job Description

Location: Hyderabad

Experience: 6.5+ Years

Role: Cloud Network Engineer

Job Summary

We are looking for an experienced Cloud Network Engineer with strong expertise in AWS or Azure networking and hands-on experience in LAN/WAN infrastructure, network troubleshooting, and cloud connectivity.

Key Responsibilities

• Design, implement, and support cloud networking infrastructure across AWS or Azure.
• Manage and troubleshoot LAN, WAN, VPN, routing, switching, and network connectivity issues.
• Configure and manage VPC/VNet, subnets, route tables, security groups, and network ACLs.
• Monitor network performance, identify bottlenecks, and resolve connectivity issues.
• Work with firewalls, load balancers, DNS, DHCP, TCP/IP, and VPN technologies.
• Support connectivity between on-premises data centers and cloud environments.
• Perform root-cause analysis and troubleshoot complex network incidents.
• Collaborate with cloud, infrastructure, security, and application teams for network requirements.
• Maintain network documentation, configurations, and operational procedures.

Must-Have Skills

• 6.5+ years of experience in Network Engineering.
• Strong hands-on experience in AWS or Azure Networking.
• Good knowledge of LAN/WAN, TCP/IP, routing, and switching.
• Strong network troubleshooting and problem-solving skills.
• Experience with VPN, DNS, DHCP, firewalls, and load balancing.
• Experience with cloud-to-on-premises connectivity.
• Good understanding of network security concepts.

Work Location: Hyderabad.

About StrideOne:

StrideOne is a unified tech-enabled financial platform and NBFC focused on enabling MSMEs and SMEs through structured credit solutions, receivables financing, and receivables management. We are designed to simplify access to capital, improve cash flow visibility, and support risk-aware financial decision-making for growing businesses across industries. With a steadily growing disbursement footprint, an expanding anchor network, and established partnerships with multiple lending institutions, StrideOne is entering its next phase of growth. The organisation is building a financial ecosystem that combines lending, receivables management, and data-driven workflows, positioning itself to scale sustainably while maintaining strong governance, portfolio quality, and operational discipline.

Key Responsibilities:

Architect & Design: Design and implement highly scalable, available, and secure web applications. You’ll be responsible for designing multi-tenant architectures, ensuring data isolation, and leveraging modern cloud infrastructure to ensure the platform scales efficiently.

Security Focused Development: Develop and enforce secure coding standards and best practices for cloud-based applications and APIs. Conduct regular code reviews with a focus on security vulnerabilities.

API & Microservices Design: Design and implement secure, scalable, and maintainable APIs and microservices that integrate seamlessly with the platform. Ensure the use of best practices for service discovery, communication, and fault tolerance.

Performance Optimization: Identify and resolve performance bottlenecks in the application and infrastructure, ensuring scalability and responsiveness under varying load conditions.

Compliance & Regulatory Requirements: Ensure that applications comply with industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, ISO 27001). Assist with audits and security certifications.

Collaboration & Leadership: Work closely with product managers, QA engineers, and other stakeholders to define and implement new features and improvements. Collaborate with the infrastructure team to ensure seamless deployment and scaling of the application. Also mentor and guide junior engineers on secure coding practices and development techniques.

Security Automation & Monitoring: Implement logging, monitoring, and alerting systems to continuously assess the security posture of the application. Stay up to date with the latest security trends, vulnerabilities, and best practices. Promote security awareness and training within the engineering team.

Qualifications:

Experience: 2+ years of experience in software engineering, with a focus on developing secure and scalable multi-tenant web applications with customer data isolation and tenant-specific configurations.

Tech Stack: Proficiency in modern web technologies (Python is a plus), relational databases, and cloud platforms (AWS, Azure, GCP).

Microservices Architecture: Strong experience designing and developing microservices-based architectures. Familiarity with service discovery, API Gateway, inter-service communication, and distributed systems principles.

Scalability & Performance: Experience with designing highly scalable and performant systems. Knowledge of caching, database sharding, partitioning, and high-throughput systems.

Security Expertise: Understanding of cloud security principles, cryptography, identity and access management (IAM), and secure coding practices.

Analytical Skills: Strong problem-solving skills with the ability to analyze complex security issues and provide practical solutions.

Soft Skills: Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Experience working in agile, collaborative environments.

About StrideOne

StrideOne is a leading fintech platform enabling businesses with innovative supply chain finance and working capital solutions. We partner with enterprises, MSMEs, and financial institutions to simplify access to credit through technology-driven lending solutions. At StrideOne, you'll work in a fast-paced, collaborative environment where innovation, ownership, and continuous learning are encouraged.

About the Role

We're building Credit Engine, a lending platform on top of Apache Fineract that powers credit assessment, disbursement, repayment, and portfolio management for our clients. We're looking for a Java Developer to help build and scale the backend services behind these workflows.

What You'll Work On

• Build and maintain backend services for lending functions — organisation/office management, portfolio and product configuration, cash margin engines, and credit workflows.
• Design and consume REST APIs integrating with internal modules and external banking/financial partners.
• Extend Apache Fineract to support custom lending products and business rules.
• Design and optimize MySQL schemas/queries for transactional, audit-heavy financial data.
• Translate lending/credit policies (interest computation, grace periods, margin calculations) into tested, production-grade code.
• Debug production issues in systems handling real money movement, with focus on correctness and data integrity.
• Participate in code reviews and API/service design discussions.

Must-Have Skills

• 2+ years hands-on Core Java (Java 8+) — OOP, collections, concurrency basics.
• Experience building REST APIs with Spring Boot.
• Strong MySQL skills — schema design, indexing, query optimization, transactions.
• Understanding of transactional consistency, data integrity, and audit trails.
• Comfortable with Git-based collaborative workflows.

Good to Have

• Experience with Apache Fineract or similar core banking/lending platforms.
• Exposure to microservices, message queues, or event-driven systems.
• Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD.
• Frontend exposure (Angular/React) for API contract collaboration.
• Prior experience in fintech, NBFC, banking, or supply chain finance

This is a remote position.

About Leegality:

Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.

We have multiple products across 2 categories:

Document Infrastructure:

Products that help businesses build paperless processes at scale:

1. Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
2. Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
3. Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure:

1. Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
2. Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.

If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.

Curious about our impact? Explore our customer success stories: leegality.com/case-studies

Our Culture

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.

We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:

• Flexible working hours
• Hybrid work setup
• Bi-annual performance appraisals
• A culture that rewards initiative, curiosity, and impact

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.

Location: Hybrid

Role Overview

We are looking for a Technical Lead – Python to lead the design, development, and evolution of scalable backend systems that power Leegality's products. This role combines hands-on backend development with technical leadership, enabling you to influence architecture, mentor engineers, and drive engineering excellence across the team.

You will work closely with Product, Design, QA, DevOps, and other engineering teams to build reliable, secure, and high-performance applications while fostering a culture of ownership, collaboration, and continuous improvement.

Key Responsibilities

• Lead the design, development, and maintenance of scalable backend applications using Python.
• Own the technical architecture of backend systems, ensuring scalability, reliability, maintainability, and security.
• Design, develop, and optimize RESTful APIs and microservices for high-performance applications.
• Drive architectural decisions, establish engineering best practices, and promote clean, maintainable code.
• Conduct code reviews and mentor engineers through technical guidance, pair programming, and knowledge sharing.
• Lead technical estimation, sprint planning, solution design, and execution for engineering initiatives.
• Optimize application performance through database tuning, caching, asynchronous processing, and efficient system design.
• Ensure high code quality through unit testing, integration testing, CI/CD pipelines, and automated deployment practices.
• Troubleshoot and resolve complex production issues while driving root cause analysis and long-term improvements.
• Evaluate and adopt new technologies, frameworks, and engineering practices to continuously improve the platform.
• Build and foster a high-performing engineering culture focused on collaboration, accountability, innovation, and continuous learning.

Desired Skills

• 7–11 years of experience in backend software development, with at least 2–4 years in a technical leadership role.
• Strong proficiency in Python and object-oriented programming concepts.
• Hands-on experience with Python frameworks such as Django, Flask, or FastAPI.
• Strong understanding of RESTful API design and development, authentication mechanisms (JWT/OAuth), and API security best practices.
• Experience designing scalable backend architectures, distributed systems, and microservices.
• Strong knowledge of relational databases such as MySQL or PostgreSQL, with experience in query optimization, indexing, and schema design.
• Exposure to NoSQL databases such as MongoDB and caching technologies like Redis.
• Experience with cloud platforms such as AWS, containerization using Docker, orchestration using Kubernetes, and CI/CD pipelines.
• Strong understanding of software engineering best practices, including design patterns, SOLID principles, code reviews, testing, and documentation.
• Experience with version control systems such as Git and modern development workflows.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Ability to balance hands-on development with technical leadership and delivery ownership in a fast-paced product environment.
• Experience working in SaaS or product-based organizations is preferred.
• Exposure to AI-assisted development tools such as GitHub Copilot, Cursor, or ChatGPT is an added advantage.