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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Job Description:
Head of Engineering — Chennai (Onsite)About the Role
Job Details
Position: Head of Engineering
Department: Engineering
Experience: 6–8 Years
Employment Type: Full-time
Location: Chennai, On-site
Salary: Up to ₹24,00,000 per annum
About the Role
We’re looking for a Head of Engineering to take end-to-end ownership of engineering for a fast-moving product. You’ll be responsible for architecture, execution, product quality, engineering culture, and team growth.
This is a hands-on leadership role. You’ll spend approximately 60% of your time coding and reviewing code and 40% on product, people, and engineering leadership.
What You’ll Do
- Own engineering end to end, including architecture, development, delivery, quality, and hiring.
- Stay hands-on with the codebase, spending roughly 60% of your time writing and reviewing code.
- Establish and continuously improve the engineering workflow: how the team plans, builds, reviews, ships, and measures.
- Improve development velocity and reduce cycle time without compromising product quality.
- Drive AI-assisted software development across the engineering team using Claude Code and similar agentic coding tools as a core productivity lever.
- Establish practical systems and workflows that demonstrate measurable improvements in engineering throughput.
- Work closely with the founders on product strategy, technical trade-offs, priorities, and what to build next.
- Build, mentor, and scale a high-performing engineering team.
What We’re Looking For
- 6–8 years of professional software engineering experience.
- Experience taking at least one product from zero to launch.
- Experience building and scaling at least one product to a large user base.
- Strong hands-on expertise in Python and Node.js.
- Comfortable working with React Native / Expo.
- Strong understanding of PostgreSQL and database fundamentals.
- Previous experience leading a small engineering team.
- A leadership style based on ownership and technical example, rather than simply assigning tickets.
- Daily experience with agentic coding tools, with the ability to demonstrate how they have improved development speed and team throughput.
- Strong product instincts and the ability to form opinions about user problems, not just technical implementation.
- Based in Chennai or willing to relocate.
How We Work
We operate with high pace, high ownership, and short feedback loops.
You’ll be expected to get close to the product, understand the users, make decisions quickly, and ship within your first week.
If you enjoy building products from the ground up, staying close to the code, and using AI to fundamentally improve how engineering teams work, we’d love to hear from you.
How to Apply
Join Aura Gold and be part of building a high-performing team from the ground up!
Ability to commute/relocate:
- Chennai, Tamil Nadu (Chennai, Chennai District): Reliably commute or planning to relocate before starting work (Preferred)
Education:
- Bachelor's (Preferred)
Language:
- English, Tamil , Hindi (Required)
Location:
- Chennai, Tamil Nadu (Chennai, Chennai District) (Required)
Work Location: In person
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 are looking for an Engineering Lead to own the entire technology stack — from onboarding and underwriting to disbursals, repayments, and collections — and to build the engineering function into something genuinely AI-native.
What You'll Own
● Full tech stack: backend, frontend, infrastructure, integrations, and data pipelines
● Real-time underwriting and decisioning systems
● LOS/LMS architecture — onboarding, disbursals, repayments, and collections
● Integrations with bureaus, KYC providers, account aggregators, and payment gateways
● Reconciliation systems — disbursement, repayment, and NACH reconciliation end-to-end
● AWS infrastructure: scaling, reliability, uptime, and cloud cost ownership ● Data infrastructure for the credit and risk team — feature pipelines, model serving, experiment infrastructure
● Engineering leadership: hiring, sprint planning, code reviews, and execution standards
● Compliance systems: RBI guidelines, DPDP, KYC/AML, e-NACH, e-sign
AI-Native Engineering
This is a core part of the role, not a bonus. You will build a machine-readable knowledge base of the entire codebase — architecture, data models, service contracts, coding standards, decision history — so that AI agents working on code have the context to produce accurate, consistent output. You will build skills for code review, developer onboarding, and recurring engineering workflows. You will build a code review pipeline where agents do the first pass on every pull request. The knowledge base and the skills improve over time as the team grows and the product evolves.
What We're Looking For
● 7+ years in software engineering, with at least 2 years leading teams or architecture
● Strong hands-on experience with Python, Django, and React Native
● Deep expertise in AWS and cloud-native architecture
● Experience with both SQL and NoSQL databases
● Strong understanding of distributed systems, microservices, and API design
● Experience owning reconciliation or payment flow infrastructure in a lending or payments context
● Prior experience in fintech / NBFC / digital lending — mandatory
● Strong understanding of the full loan lifecycle — mandatory
● You have used LLMs seriously as engineering tools and have strong opinions about what makes AI-assisted development produce good output versus mediocre output
Bonus: Kubernetes / Kafka, AI/ML-driven underwriting, Account Aggregator framework, e-NACH / e-Sign / Video KYC integrations
What Success Looks Like
● scales with strong uptime, performance, and reliability
● Reconciliation runs cleanly — no financial discrepancies surface late ● A new engineer joins and is writing standard, correct code within their first week
● The credit team is never blocked on an engineering dependency
● Engineering health metrics are tracked and visibly improving
● AI agents are doing the structured first pass on code reviews, and the system gets smarter over time
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.
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.

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 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 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.
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:
- 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.
- Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
- Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner
Consent Infrastructure:
- Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
- 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.
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
Experience Level
This role is ideal for engineers with total 5+ years of experience with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
What You’ll Do as a Software Craftsperson
- Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming
- Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality.
- Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production
- Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems
- Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback
- Investigate and resolve production issues, and implement systemic improvements to prevent recurrence
- Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions
- Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering
Requirements
What You’ll Bring
- 5+ years of experience building high-quality, production systems (flexible based on demonstrated capability)
- Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD
- Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability
- Proficiency in one or more modern technologies Python, React, AI, JavaScript, or TypeScript, with the ability to learn new technologies quickly
- Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality
- Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability
- Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions
- A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Benefits
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance










