Founding Lead Engineer at hanomi.ai · Bengaluru (Bangalore) · 5 - 12 years · ₹20L - ₹45L / yr · Posted 8 Jul 2026

What we're looking for
Hanomi builds software that automatically generates 2D engineering drawings from 3D CAD models. We've raised venture funding, have paying manufacturing customers across India and internationally, and just shipped drawing automation to production. We're a team of 8 engineers moving fast toward scaling this to thousands of drawings per day. You'll work on real parts that go to real factory floors - where a wrong dimension means a scrapped part and a missed shipment. It's demanding work with real accountability, but if you're the kind of person who gets fired up by solving hard problems across multiple technical domains and seeing a team ship consistently, you'll fit right in.
We're looking for a person to lead engineering execution. This role is on-site at our Bengaluru office.
You'll work directly with our CTO to turn product priorities into shipped software. This isn't a management-from-a-distance role - you'll plan sprints and hold people accountable, but you'll also roll up your sleeves to debug, brainstorm algorithmic approaches, and review PRs with enough depth to catch when something doesn't fit.
Engineering Lead:
In this role, you will:
Own engineering execution across the team:
· Plan sprints, set timelines, track progress, and hold people accountable
· Run gate reviews before production deploys and flag risks before they become misses
· Coordinate between our algo team and platform team
· Be the person who makes sure things ship by being close enough to the work to know when something's going wrong
Roll up your sleeves and build alongside the team:
· Debug production issues together with engineers, not delegate and wait
· Brainstorm algorithmic approaches and review PRs deeply enough to catch integration issues
· Jump into the codebase when something's blocked, you're not above writing code to unblock a sprint
Bring technical depth across algorithms and platform:
· Understand mechanical engineering concepts well enough to question whether an approach makes sense for different manufacturing processes
· Have experience scaling platforms - deployment pipelines, reliability, monitoring, the infrastructure that keeps a product running for paying customers
· Ideally have worked on desktop applications or integrations with CAD software APIs
Make the team better over time:
· Give direct, specific feedback - including the uncomfortable kind
· Know when an engineer needs clearer specs vs more autonomy vs a push
· Identify process gaps and fix them without adding bureaucracy
Note given that we are a startup, the exact job match will depend on your skills and interest (there is always too much to do!).
Requirements:
· 5-7 years in software engineering, with experience leading teams of 5–10 engineers
· Strong Python - comfortable reading and contributing to algorithm code
· Experience scaling platforms that serve real customers with reliability requirements
· Exposure to mechanical engineering or CAD/PLM domains - you don't need to be a mech engineer, but you should understand what an engineering drawing represents and why correctness matters
· Desktop application development or API integrations with CAD software is a strong plus
· You still enjoy building - this is a hands-on leadership role where you're expected to contribute technically
· Startup experience preferred - you know the difference between useful process and process theater
Preferred Qualifications:
· Background in 3D / manufacturing
· Experience with computational geometry / 3D modelling workflows
· You've managed engineers who are deep specialists and earned their respect through technical credibility, not just title
· You use AI tools in your daily workflow - Claude Code, Cursor

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About the role
We are looking for a technically strong software engineering leader to own software quality, architecture and integrated delivery across our India software organisation. Our robots depend on multiple software disciplines working together reliably. You will help shape technology strategy and organisational direction, and translate that into sound architectural decisions, strong engineering practices and dependable execution. This is a hands-on leadership role combining technical depth, people management and accountability for outcomes.
Location: Bengaluru, Karnataka, Reports to: Chief Technology Officer · Experience: 10+ years
About Us
We are building robots to maintain, organise and reset common public and commercial spaces — offices, campuses, venues and other high-traffic facilities. We are building a hybrid end-to-end architecture where classical and modern methods work together for maximum reliability and robustness, with R&D in Bengaluru and Wellington, New Zealand.
What you will do
Technology direction and architecture: help shape technology strategy and drive architecture decisions across robot software, cloud services, data processing and model training infrastructure. Own system-level requirements — latency, compute and memory budgets, end-to-end reliability. Establish clear interfaces and component ownership, and resolve technical trade-offs across the stack.
Software quality, security and engineering practices: set and embed standards for code quality, testing, documentation, observability and secure development. Own the software security review and audit process across robot and cloud systems, working with specialists where needed. Build quality into everyday development through effective reviews, automated validation and measurable acceptance criteria.
Integrated software delivery: own delivery across teams, turning product priorities into realistic plans with clear commitments, dependencies and milestones. Resolve execution bottlenecks and hold teams accountable for working software and demonstrated robot behaviour.
Integration, resilience and release readiness: own integration and release readiness across robot software, cloud services, and data and training pipelines, including Kubernetes. Define and validate behaviour during connectivity loss, service degradation and component failures, including safe fallback, recovery and rollback. Establish reproducible builds and simulation, hardware-in-the-loop, on-robot and cloud testing.
Hands-on technical leadership: stay close to implementation through critical design and code work, complex debugging and direct involvement in the most consequential technical problems.
People and team development: lead and develop engineers and technical leads; build capability through hiring, coaching, clear performance expectations and stronger technical ownership.
Cross-team alignment: bring teams together around shared technical decisions and delivery outcomes, including teams outside your reporting line.
Experience
- At least 10 years in robotics or AI, including technical leadership roles
- Strong understanding of autonomy systems such as VLA/VLM models, SLAM, planning, perception and ML-based decision-making
- Python, C++, ROS, and ML stacks such as PyTorch or TensorFlow
- Experience with robotics, embedded systems, autonomous systems or comparable products where software interacts with physical hardware
- Practical experience improving automated testing, continuous integration, release processes and production reliability
- Evidence of delivering programmes spanning multiple teams, including teams outside your reporting line
- Experience architecting and operating cloud platforms, containerised workloads, and large-scale data processing or model training pipelines
What success looks like
- Teams deliver predictably against a shared plan, with clear ownership and fewer late integration surprises
- Architecture supports product goals and makes the software easier to extend, test and maintain
- Releases produce measurable improvements in robot behaviour and reliability
- Recurring failures, escaped defects and avoidable engineering rework decrease
- Engineers and technical leads grow in capability, ownership and execution independence
Job Title: Engineering Manager
Location- Delhi
Job type: Full time, On site
About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals
1. BFSI Solutions
2. KYC and background check Solutions
3.AI Solutions
Role Overview
As an Engineering Manager at Timble AI, you will manage, mentor, and scale our core engineering teams (including Backend, Frontend, and AI/ML divisions). You will remain highly technical, contributing to architecture decisions and system design, while taking full ownership of project delivery timelines, agile sprints, and team performance metrics.
Key Responsibilities
- People Leadership & Mentorship: Manage and grow a cross-functional team of software engineers (SDE-1 to SDE-3). Conduct regular 1-on-1s, drive career growth paths, and foster an innovative, high-ownership engineering culture.
- Delivery & Agile Project Management: Own the engineering sprint cycles. Work closely with Product Managers to break down roadmaps into execution goals, manage dependencies, and ensure high-velocity, predictable delivery.
- System Design & Architecture: Provide technical governance and direction. Collaborate on core system architecture, design reviews, and ensure codebases remain clean, scalable, and modular.
- Engineering Excellence: Define and monitor key performance indicators (KPIs) for the engineering team, including code quality, test coverage, uptime, and system performance.
- Hiring & Scaling: Actively partner with the talent acquisition team to identify, interview, and onboard top-tier engineering talent to help build our core verticals.
Required Skills & Qualifications
- Experience: 5+ years of core software engineering experience, with at least 1–2 years of experience in an engineering management, tech lead, or team leadership role.
- Technical Roots: Strong foundational background in backend systems, distributed architectures, or AI integration. Prior hands-on experience with Python/Django ecosystems, microservices, cloud infra (AWS/GCP), or heavy automation systems is highly valued.
- Agile Mastery: Deep familiarity with Agile/Scrum development methodologies, sprint planning tools, and CI/CD pipelines.
- Communication: Exceptional interpersonal and cross-functional communication skills, with a track record of translating complex technical visions into clear execution steps.
- Education: B.Tech / M.Tech in Computer Science, Information Technology, or a related technical discipline from a reputed institute.
Learn more about us at: https://timbleglance.com

JOB DESCRIPTION
Lead Engineer
Ahmedabad, India | Around 5 years of experience
Salary is open for the right candidate.
About the role
A growing healthcare technology startup is building AI-native hospital management systems and
healthcare products for emerging markets. You’ll set technical direction, lead the engineering team, and
stay hands-on with the code that ships.
What you’ll do
Set technical direction. Make architecture decisions, weigh trade-offs, and build systems that stay
reliable as requirements evolve.
Ship production software. Write, review, test, and debug code, and own the quality of what ships.
Lead the team. Break complex problems into deliverable work, mentor engineers, and take responsibility
for delivery.
Use AI coding agents. Give agents the context to tackle substantial engineering work, then critically
review, test, and debug their output.
Work with healthcare teams. Learn their workflows and turn complex requirements into dependable
software.
What you’ll bring
Production ownership. Around five years of experience, including meaningful ownership of complex
systems or products in production. Experience can be flexible for exceptional candidates.
Technical depth. Strong ability in mathematics, algorithms, or machine learning, demonstrated through
competitions, research, or demanding systems you’ve built and deployed.
Engineering leadership. Examples of architecture decisions you owned, engineers you mentored, and
work your team delivered.
AI-assisted development skills. A workflow you can demonstrate, including how you spot incorrect
assumptions, test changes, and debug failures.
Initiative and judgment. You learn quickly, tackle unfamiliar problems independently, and get working
software into users’ hands.
How to apply
Send your CV or LinkedIn profile to the recruiter who shared this brief. Include one or two examples of
your strongest technical work, a team leadership example, and an example of your AI coding workflow.
Highlight your own contribution and share only material you’re permitted to disclose.
Please include your salary expectations, notice period, and availability to work in Ahmedabad.
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.
We're hiring Drumbeat's first Senior Product Engineer to help us go to the next level.
We're not first-timers. We're the team that founded Phrasee in 2015 and grew it to more than 100 people, customers around the world, and a >$100m exit. Lots of people made lots of money, including the founding employees.
With Drumbeat, our plan is to do it all again… except this time, bigger and faster.
What is Drumbeat?
Drumbeat (www.drumbeat.com) predicts your next best action on LinkedIn, then copilots your team to turn invites, DMs and posts into pipeline.
We launched in September 2025 and have raised a £2m seed round led by a well-known VC. We're building the core team around our cofounders (Parry, Jonny and Dan) and Mohit, our Engineering Manager and Phrasee's first engineer. You'll report to Mohit.
What you'll be building on
- Setlist: a short, ordered list of the right things for each person to do today.
- Radar: predicts who each rep should connect with now, not everybody who matches a job-title search.
- Riff and AuthorDNA: help people find something worth saying, and write it in their own voice.
- Campaigns, Conversations, Backstage and Analytics: team-wide activity, replies, company knowledge and reporting.
Under the hood: Django and PostgreSQL, background jobs on Redis, LLM workflows, statistical models that learn what works, and integrations with LinkedIn and CRMs. A lot of our code is written with AI coding agents, inside a strict engineering process.
How we think about engineering
- "Human-first AI, not AI-first humans." AI agents write a lot of our code. They don't make our decisions. We want someone super smart without AI, and even smarter with it, who knows when the machine is blowing smoke.
- "Spend 55 minutes on the problem." Understand what's actually wrong before you fix it.
- "Fix the class, not the instance." Every bug is an example of something bigger. Find the pattern, and fix it everywhere it lives.
- "A check must be able to fail." A test you've never seen go red proves nothing.
- "You don't need a Ferrari to drive to the supermarket." Simplicity over cleverness, every time.
What you'll own
- Technical architecture. How Drumbeat is built, so it holds up as we add customers, features and integrations.
- Shipping features end to end. From Parry and Mohit's briefs, and turning Parry's MVPs into production features.
- Foundations. Scale, resilience (safe retries, timeouts and fallbacks when outside services wobble), cost and refactoring.
- What you build. Once it's live, it's yours: you maintain it and fix it.
- The hardest bugs. The ones nobody else can crack.
Your experience
- 8+ years as an engineer, at a product company, preferably B2B SaaS.
- Time at a smaller company, so you know how to get stuck in.
- You've owned a system in production, not just added features to one.
- Senior Python and Django: Postgres, background jobs, correctness in production.
- System architecture and refactoring.
- You direct AI coding agents well, and explain trade-offs in plain English to people who aren't engineers.
Where you'll work
Delhi / NCR. You'll be in our Delhi office some days each week, alongside Mohit.
Pay
₹40–65 lakh CTC, plus equity that vests as the company hits revenue milestones.
This is probably not a job for most people. Don't apply if you want an easy job. Apply if you want a hard one: lots of responsibility, very little bureaucracy, plenty to figure out, and a genuine chance to shape what this company becomes… and make a bunch of money as a result.
If that sounds exciting, LET'S PARTY.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Required Experience: 10–15 years (with at least 3–5 years in leadership roles)
● 10–15 years of overall experience in backend engineering, with strong exposure to
Python and/or Golang.
● 3–5 years of experience managing engineering teams.
● Proven experience delivering large-scale, distributed systems in production
environments.
● Strong understanding of microservices, cloud-native architecture, and DevOps
practices.
● Hands-on background in backend engineering (able to guide teams technically, even
if not coding daily).
● Familiarity with CI/CD pipelines, observability, and performance optimization.
● Experience in financial services or high-transaction domains is a plus.
● Experience leading teams that have utilized AI-driven development practices (e.g.,
agentic coding, LLM integration) to improve productivity and innovation is a
significant advantage.
Skills
● Excellent leadership and people management abilities.
● Strong communication and stakeholder management skills.
● Ability to balance technical depth with business priorities.
● Problem-solving mindset with a focus on delivery and impact.
● Passion for building engineering culture and improving developer experience.
About the Role
We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.
This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.
This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.
Responsibilities
- Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
- Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
- Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
- Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
- Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
- Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
- Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
- Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.
Qualifications
- Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
- Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
- Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
- Advanced knowledge of Kubernetes and Terraform in production environments.
- Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
- Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
- Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
- Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
- Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
- Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
- Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
- Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.
Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.
Our Culture
Who we are:
Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.
How we work:
- We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
- Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
- Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
- We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
- We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.
Location: Bangalore
Department: Engineering
Reports to: SVP
Experience required: 6+ years
About Tracxn:
Tracxn (Tracxn.com) is a Bangalore-based product company providing a research and deal sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals working around the startup ecosystem.
We are a team of 600+ working professionals serving customers across the globe. Our clients include Funds like Andreessen Horowitz, Matrix Partners, GGV Capital, and Large Corporations such as Citi, Embraer & Ferrero.
Founders
- Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
- Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)
About Technology Team:
Tracxn's Technology team is 60+ members strong and growing. The technology team is subdivided into multiple smaller teams, each owning one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure where almost everyone is actively involved in technical development and design activities. We have a team-centric culture where the ownership and responsibility of a feature or module lie with a team compared to an individual.
We value ownership, continuous learning, consistency, and discipline as a team.
Our Tech Stacks:
We work on an array of technologies, including but not limited to backend and frontend systems such as Java, Python, Spring Boot, Node.js, ReactJS, Next.js, Webpack, and Storybook; cloud and serverless platforms like AWS, etc; data and infrastructure technologies such as Elastic Stack (Elasticsearch), MongoDB, MySQL, Redis, Kafka, and Ansible; large-scale web crawling solutions; modern data pipelines and ETL workflows; and AI/ML-driven projects.
Job Overview:
We are looking for experienced software engineers with 6+ years of overall software development experience, including backend development and proven people-management skills. The ideal candidate will lead the engineering team(s), drive technical excellence, and ensure timely delivery of high-quality software solutions.
Job Responsibilities:
- Lead, mentor, and manage a team of software engineers
- Own technical planning, architecture discussions, and execution
- Collaborate with product managers and stakeholders
- Drive best practices in software development, testing, and deployment
- Conduct code reviews and ensure high engineering standards
- Manage delivery timelines, resource planning, and technical risks
- Support hiring, onboarding, and performance management of engineers
Job Requirements :
Professional Experience
- Proven experience leading or managing software engineering teams
- Track record of delivering complex, scalable software systems
- Experience driving technical initiatives and influencing architectural decisions
- Strong collaboration experience with product, design, and cross-functional teams.
Technical Leadership & Management
- Ability to mentor, coach, and grow engineers across different experience levels
- Experience conducting performance reviews and providing technical feedback
- Strong ownership of team delivery, timelines, and quality
- Experience balancing hands-on technical work with people management
Backend & System Architecture Expertise
- Strong proficiency in modern backend architectures, design patterns, and microservices architecture.
- Proficiency in at least one server-side programming language (e.g., Java, Python, etc.)
- Solid understanding of API design principles and implementation
- Hands-on experience with relational and non-relational databases and knowledge of data pipelines and data warehousing concepts.
Technical Competencies
- Strong system design and problem-solving skills
- Knowledge of caching strategies, performance optimization, and scalability
- Understanding of data modeling and query optimization
- Familiarity with search and indexing technologies
- Understanding of security best practices in backend systems
Culture:
- Work with performance-oriented teams driven by ownership and passion.
- Learn to design systems for high accuracy, efficiency, and scalability.
- No strict deadlines, focus on delivering quality work.
- Meritocracy-driven, candid culture. No politics.
- Very high visibility regarding which startups and markets are exciting globally.
About the company
Metron Security provides automation and integration services to leading Cyber Security companies. Our engineering team works on leading security platforms including - Splunk, IBM’s QRadar, ServiceNow, Crowdstrike, Cybereason, and other SIEM and SOAR platforms.
Software Engineer is a challenging role within Cyber Security Engineering integration development. The role involves developing a product/service that achieves high-performance data exchange between two or more Cyber Security platforms. A Software Engineer is at the core of the evolution process and is responsible for the End-to-End delivery of the project, right from getting the requirements from customers to deploying the project for them on-prem or on the cloud, depending on the nature of the project. We follow the best practices of engineering and keep evolving. We are agile.
Each integration needs reskilling yourself with the required technology for that project. If you are passionate about programming and believe in the best practices of software engineering, the following are the skills we are looking for:
● Developer-centric culture - No bureaucracy or red tape.
● Chance to work on 200+ security platforms.
● Opportunity to engage with end-users (customers) and just a cog in the wheel.
About the role
We are looking for passionate developers with 4-7 years of experience in software development to join the Metron Security team as Software Engineers.
Mandatory Skills
- 6+ years of experience in software engineering, with a proven track record of leading engineering teams and mentoring junior developers.
- Expertise in at least one or two Object-Oriented Programming language (Python, typescript, Java,Node.js,Angular, react.js C#, C++) .
- Good knowledge of Data Structure and its correct usage.
- Oversee code reviews, ensuring adherence to best practices and maintaining high code quality standards.
- Imbibe and maintain a strong customer delight attitude while designing and building products/services.
Other Requirements
- Open to learn any new software development skill if needed for the project.
- Alignment and utilisation of the core enterprise technology stacks and integration capabilities throughout the transition states.
- Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives.
- Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them.
- Good knowledge of the implications of Cyber Security on production.
- Experience in architecting & estimating deep technical custom solutions & integrations.
- Manage the customer to ensure we have a continuous flow of work from them so that the team has enough work for at least a month.
- Mentor and coach team members, providing technical guidance and fostering professional development.
Added advantage:
- Experience in the Cyber Security domain.
- Experience in developing software using web technologies.
- Experience in handling a project from start to end.
- Hands-on experience in an Agile Development project and in writing and estimating User Stories.
- Contribution to open source - Please share your link in the application/resume if any.
About the Company
As the world moves toward AI-native applications, one element matters more than anything: data.
We are building a platform that helps organizations unlock the value hidden within customer feedback. By centralizing data from multiple sources—including CRM platforms, support systems, collaboration tools, surveys, community forums, and customer conversations—into a unified intelligence layer, we enable teams to understand customer needs and make better product decisions.
Built on top of this foundation is an AI-powered platform that allows teams to query, monitor, and act on customer intelligence directly within their workflows. Our customers include some of the fastest-growing product-led technology companies as well as large global enterprises.
Backed by leading global venture capital firms, our engineering culture is AI-native from the ground up. Agents, LLMs, and applied machine learning are not side projects—they are central to how we build products. We operate at the cutting edge of agentic systems and continuously push the boundaries of what modern AI applications can achieve.
What You Will Do
- Convert product direction into phased technical plans, including estimates, milestones, dependencies, and risk assessments.
- Make thoughtful trade-offs across correctness, latency, user experience, AI/model behavior, reliability, cost, and delivery speed.
- Define clear ownership boundaries across frontend applications, BFF layers, backend services, agent workflows, ML platforms, and data contracts.
- Review ERDs, PRDs, design documents, and implementation plans to identify gaps before they become execution challenges.
- Drive planning and execution for complex initiatives while empowering area leads and senior engineers to maintain ownership.
- Partner closely with Product, Design, Engineering, and GTM teams to turn ambiguous problem statements into executable solutions.
- Influence technical direction through strong engineering judgment, architectural leadership, and hands-on involvement.
- Mentor senior engineers and contribute to engineering excellence through reviews, incident analysis, and proactive risk management.
What It Takes
- 9+ years of experience as a Senior Engineer, Technical Lead, or equivalent role.
- Demonstrated experience owning architecture and execution for large-scale product or platform initiatives spanning multiple teams.
- Strong foundation in distributed systems and modern software architecture.
- Exposure to agentic AI systems, machine learning engineering, MLOps platforms, and frontend/BFF architectures.
- Ability to own end-to-end product and technical problems rather than specializing exclusively in a single layer of the stack.
- Proven track record of converting ambiguity into actionable engineering plans.
- Excellent written communication skills, including design documentation, architectural reviews, trade-off analyses, and RCA documentation.
- Ability to challenge requirements constructively and collaborate effectively across Product, Design, Engineering, and GTM functions.
- High ownership mindset, attention to detail, and a low-ego, collaborative approach.












