Software Developer || SDE2 at Amazon India · Bengaluru (Bangalore), Hyderabad · 3 - 9 years · ₹10L - ₹15L / yr · Profitable · Posted 28 Jan 2022
Java
Spring Boot
Software Development Engineer II
Do you want to be part of team building Amazon.in space ? Are you passionate to build highly scalable systems ?
LocalFinds team is building multiple capabilities that are relevant to customers in India. This is a rare opportunity to be part of a team that will be responsible for building a successful, sustainable and strategic business for Amazon.in
As an engineer, you will help with the , implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Elastic Search, Lambda, ECS, EDP, SQS, Dynamo DB, Slapshot, Herd, Horizonte etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems.
If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today!
As an engineer you will be responsible for:
• Ownership of product/feature -to- for all phases from the development to the production.
• Ensuring the developed features are scalable and highly available with no quality concerns.
• Work closely with senior engineers for refining the and implementation.
• Management and execution against project plans and delivery commitments.
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.
• Contribute intellectual property through patents.
The ideal candidate is a passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries -to-.
Tech_SDE
Shubham Vishwakarma
Full Stack Developer - Averlon
About Amazon India
About
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
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VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.
About the Role
We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.
Tech Stack
Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development
Roles & Responsibilities
- End-to-End Feature Ownership
- Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
- Full-Stack Development
- Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
- Product Thinking
- Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
- Rapid Iteration
- Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
- Cross-Functional Collaboration
- Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
- System Design & Architecture
- Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
- Debugging & Problem Solving
- Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
- AI-Native Development
- Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.
Requirements
- 3–5 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
- Strong proficiency in React.js for front-end development
- Strong proficiency in Python, with hands-on experience in Django for back-end development
- Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
- Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
- Experience working directly with Product/Design teams, not just executing tickets
- Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
- Strong debugging and problem-solving skills
Good to Have
- Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
- Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
- Experience in AdTech, MarTech, or data-heavy SaaS platforms.
- Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
- Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
- Experience with data visualization libraries (Recharts, D3.js, Chart.js).
- Familiarity with compliance-aware or explainable AI design in regulated domains.
What We Look For In Candidates
- Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
- Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
- Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
- High Standards – You hold your own code to a higher bar, even when no one's checking.
- Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
- Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
- Solidarity with the Team – You show up for your teammates, no invitation needed.
- Vitality – You bring real energy and resilience that keeps you (and others) going.
- Why Join Venxr?
- Be part of a fast-growing startup that puts data at the heart of every decision.
- Opportunity to work on high-impact, real-world business challenges.
- Collaborative, transparent, and learning-oriented work environment.
- Flexible work culture with a strong focus on career development.
- Comprehensive health benefits to support your well-being.
- Team offsites and engagement activities to build stronger connections beyond work.
- Performance-based incentives and rewards recognizing your contribution and impact.
React.jsPythonDjangoAbout Venxr
VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.
About the Role
We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.
Tech Stack
Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development
Roles & Responsibilities
- End-to-End Feature Ownership
- Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
- Full-Stack Development
- Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
- Product Thinking
- Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
- Rapid Iteration
- Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
- Cross-Functional Collaboration
- Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
- System Design & Architecture
- Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
- Debugging & Problem Solving
- Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
- AI-Native Development
- Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.
Requirements
- 1-2 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
- Candidates with B.Tech in CSE, AI/ML or any other equivalent educational background from Tier-1 and Tier-2 colleges will be preferred
- Strong proficiency in React.js for front-end development
- Strong proficiency in Python, with hands-on experience in Django for back-end development
- Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
- Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
- Experience working directly with Product/Design teams, not just executing tickets
- Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
- Strong debugging and problem-solving skills
Good to Have
- Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
- Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
- Experience in AdTech, MarTech, or data-heavy SaaS platforms.
- Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
- Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
- Experience with data visualization libraries (Recharts, D3.js, Chart.js).
- Familiarity with compliance-aware or explainable AI design in regulated domains.
What We Look For In Candidates
- Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
- Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
- Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
- High Standards – You hold your own code to a higher bar, even when no one's checking.
- Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
- Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
- Solidarity with the Team – You show up for your teammates, no invitation needed.
- Vitality – You bring real energy and resilience that keeps you (and others) going.
- Why Join Venxr?
- Be part of a fast-growing startup that puts data at the heart of every decision.
- Opportunity to work on high-impact, real-world business challenges.
- Collaborative, transparent, and learning-oriented work environment.
- Flexible work culture with a strong focus on career development.
- Comprehensive health benefits to support your well-being.
- Team offsites and engagement activities to build stronger connections beyond work.
- Performance-based incentives and rewards recognizing your contribution and impact.
About the role
You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.
Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office
What you will do
Technology & product leadership
- Define and drive the technology vision, architecture and long-term platform roadmap.
- Oversee the architecture, design and delivery of highly scalable enterprise systems.
- Ensure engineering excellence, velocity and reliability across the product lifecycle.
Engineering & platform management
- Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
- Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
- Oversee operational effectiveness, including uptime, production reliability and cost optimisation.
Innovation & AI strategy
- Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
- Own the GenAI/LLM solutions architecture.
- Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
- Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
- Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.
Technical leadership
- A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
- Collaborate with executive leadership on business strategy, client requirements and product delivery.
- Build, mentor and scale high-performing engineering teams with a growth mindset.
- Establish a strong technology culture grounded in ownership, innovation and continuous learning.
What success looks like
- Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
- Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
- Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.
Qualifications & experience
- Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
- A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
- Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
- Proven leadership in defining and executing technology strategy and platform roadmaps.
- Extensive cloud-native engineering experience with Azure, AWS and GCP.
Technical expertise
- Strong full-stack engineering background (Java, Python, JavaScript frameworks).
- Expertise with JS frameworks such as React, Angular and Node.js.
- Experience building and scaling distributed systems and microservices.
- Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
- Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).
Behavioural & leadership competencies
- Product and delivery management expertise, end to end, including delivery and customer support.
- Excellent communication, with the ability to influence executive stakeholders.
- High technical proficiency combined with strong business acumen.
- Strong analytical and decision-making skills.
Python
Go Programming (Golang)We’re on the hunt for a Principal Engineer who loves solving tough problems, mentoring others, and shaping the future of our platform. In this role, you’ll be leading the design and build of scalable systems and integrations across major cybersecurity platforms. Sometimes you’ll be deep in the code, other times you’ll be guiding teams and customers to the right solutions. If you enjoy balancing hands-on work with big-picture thinking, this could be your spot.
About Us
At Metron Security, we help top cybersecurity companies supercharge their tools through automation and integrations. Our engineers connect and extend platforms like Splunk, IBM QRadar, ServiceNow, CrowdStrike, Cybereason, and many more. We believe in a developer-first culture where creativity, ownership, and continuous learning drive everything we do.
Why You’ll Love Working Here
- A true developer-first environment where your ideas and technical chops matter.
- Hands-on exposure to 250+ security platforms (yep, really).
- Direct contact with customers so you can see the impact of your work right away.
- A fast-paced, growth-focused culture—but we also respect work-life balance. No weekends, and only occasional evening calls.
What We’re Looking For
We’re hoping to meet someone who has both deep technical expertise and natural leadership instincts. You think holistically about systems, enjoy digging into tricky problems, and can guide both teammates and customers to success.
Must-Have Skills
- Solid programming experience across multiple languages (Python, TypeScript, Java, Node.js, Angular, React, C#, C++… we’re language-agnostic and use the best tool for the job).
- Quick at learning new security platforms.
- Proven ability to design and build scalable systems, APIs, and integrations.
- Experience mentoring and leading engineering teams.
- Strong debugging and problem-solving skills in complex environments.
- Organized, reliable, and able to set and meet clear timelines.
- Comfortable working directly with customers to understand needs and design solutions.
- Familiar with cloud platforms (AWS, GCP, or Azure) and security best practices.
Bonus Points If You
- Have experience building or leading integrations with enterprise security tools.
- Like approaching challenges with a “hacker mindset.”
- Know your way around Docker, Kubernetes, and cloud deployments.
- Contribute to open source or share technical insights publicly.
What You’ll Do
- Be the face of Metron Security with our customers—collaborating on solutions and keeping communication clear.
- Bridge the gap between customers and our dev team, ensuring the right info flows both ways.
- Mentor and train junior developers, helping them level up.
- Step in to tackle tough technical problems when the team needs backup.
- Build and document knowledge about security platforms.
- Spot potential roadblocks early and help keep projects on track.
Who You Are
- Strategic thinker who isn’t afraid to roll up their sleeves.
- Clear communicator who collaborates openly.
- Proud of building strong, maintainable solutions that exceed expectations.
- Curious, quick learner, and always exploring new technologies.
- Positive, “let’s figure it out” teammate who lifts others up.
At Metron Security, we’re all about helping security teams work smarter. If you’re excited to take on big engineering challenges, mentor others, and drive technical vision in a growing company, we’d love to talk.
PythonGo Programming (Golang)
NodeJS (Node.js)Job Description
ABOUT THE ROLE
The Senior Principal Software Engineer – Full Stack is a key technical leader responsible for defining and driving the technical strategy across the entire engineering function. You will own complex, high-impact systems, deliver enterprise-scale SaaS products at Champion Pace, and serve as a recognized internal subject matter expert — providing thought leadership to redefine the supply chain through an intelligent, adaptive platform.
WHAT YOU'LL DO
- Architectural Ownership: Design, implement, and lead the development of robust frontend frameworks and backend services, taking end-to-end ownership of critical, cross-functional components.
- Technical Strategy: Apply deep expertise in highly specialized domains to develop complex systems, contribute to company objectives, and drive creative and effective goal achievement.
- Problem Resolution: Proactively debug, diagnose, and resolve highly complex technical issues and performance bottlenecks across the stack with minimal guidance.
- System Design: Apply conceptual thinking to understand advanced technical implications and construct highly scalable system architectures.
- Technical Mentorship: Act as an internal subject matter expert — mentor senior and principal engineers, lead cross-team code reviews, and establish high standards for quality and performance.
- Policy & Principles Guidance: Direct the application of existing technical principles and actively guide development of new policies and engineering standards.
- Code Optimization: Translate complex product and technical requirements into clean, efficient, maintainable code; optimize system architecture for scale and performance.
- Cross-Functional Collaboration: Build formal networks across organizational groups and collaborate closely with Product, QA, and DevOps to deliver world-class SaaS products.
- Strategic Influence: Convey advanced technical concepts and persuade diverse stakeholder audiences to drive cross-organizational alignment and technical adoption.
- Functional Accountability: Determine methods and procedures on new assignments, taking ultimate responsibility for results that impact the entire engineering function.
Qualifications
MUST-HAVE QUALIFICATIONS
- 12+ years of professional software development experience (8+ with a Master's; 5+ with a PhD).
- Expert-level proficiency in HTML, CSS, JavaScript, Java, Node.js, Python, and RESTful APIs.
- Deep experience with microservices, SQL/NoSQL databases, and modern frontend frameworks.
- Proven ability to own and drive complex, cross-functional technical architecture end-to-end.
- Strong track record of mentoring senior engineers and leading technical standards across teams.
- Deep understanding of cloud-native architectures, Agile product development, OOP fundamentals, and data structures & algorithms.
NICE-TO-HAVE
- Experience with agentic or AI-powered platform engineering.
- Familiarity with manufacturing or supply chain SaaS domains.
- Background in AI governance, evaluation, and observability.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon