Teamcenter Lead Developer

(Senior) IT PLM System Engineer

Company Name: Trelleborg

Company Website:

https://www.trelleborg.com/en

Website: www.tss.trelleborg.com/tssindia 

Location

BANGALORE - Hosa Road

About Company

Trelleborg Sealing Solutions India was founded in 1978 as Rollon Bearings, joined the Trelleborg Group in 2005. The company with about 700 employees in manufacturing facilities and marketing offices (including 9 Home Offices) across India has been successful in creating strong footholds in the Sealing market of the country (Location Details on next page) and is recognised as the Leading Sealing Solution Provider in India.

Mode of Working: Work From Office

Responsibilities

Position title: (Senior) IT PLM System Engineer

Summary - 

This role involves aiding in the definition and implementation of CAD and PLM solutions while collaborating with global business stakeholders to translate business requirements into effective, industry-standard solutions. It focuses on maintaining existing solutions and developing new solutions based on user feedback, grounded in industry best practices.

Additionally, identifying opportunities to simplify applications. The position also supports the standardization of business processes globally and applies data analysis to identify root causes and resolve errors and operational issues.

Responsibilities:

• Administration of Teamcenter, including license management, Teamcenter Installation, Configuration, Deployments, maintenance, and update Teamcenter patches
• Independently work to implement enchancements
• Interact with business for important and impactful projects
• End user & customer satisfaction with current business process
• Perform functional analysis and/or define functional requirements
• Conducting system testing, troubleshooting, and assisting issue resolution to ensure a stable and reliable PLM environment
• Manage data migrations as a function of Teamcenter PLM rollout to new locations
• Support users / key users in functional area through an established Service Desk / ticketing system, concentrating on the incident and problem resolution. Execute end user training for appropriate areas
• Work as part of project team to deliver on the scope defined in the project
• Expertise with Siemens Teamcenter product configuration
• Proficiency in PowerShell scripting
• Continuously improve and optimize system architectural elements for enhanced performanceand scalability

Education and Experience:

• Information Technology or Engineering background
• At least 5 years experience in Teamcenter and NX projects
• Knowledge about Siemens Teamcenter Architecture & Data model
• Experience with Active Workspace Client (AWC) customization
• Expertise with BMIDE configurations and deployments
• Knowledge of NX and NX integration
• Knowledge of Catia TCIC integration
• Handled projects and implemented successfully
• Experience ERP integrations like T4S4 or T4EA is preferred

Competencies:

• A strong Team player
• Strong communication skills
• Outstanding interpersonal skills, including the proven ability to work across different audiences, personalities and experience levels
• Great skills for inter-team collaboration & integration
• Thinking out of the box and coming up with excellent solutions
• Self-motivated with ability to coordinate projects and report status and progress
• Proficiency with the English language

Behavioral Characteristics

• Self motivated
• Passionate about learning new things and taking challenges positively.
• Eager to learn the capability
• Able to communicate ideas effectively
• Ability to communicate effectively with business users and other IT Groups
• High level of self-control and good personal time management.
• Flexible adaptation to business process alignment with system and industry best practice

Geography to cover and Travel requirements

• Able to travel globally and work effectively in a remote situation dealing with all levels of the organization.
• Role is a global role with scope including all TSS sites.
• Day and overnight travel up to 25% may be required to domestic & international locations.

Key Interfaces and Stakeholders

• Internal engineering community, including R&D, Manufacturing Operations of both plastics and elastomers, and Aerospace.
• Cross functional work with parallel systems upstream or downstream to the engineering toolset.

Interview process

2 rounds - Virtual interview and 1 round Face to Face

Any other Criteria

• Notice Period: Below 60 Days only. No Negotiation on Notice Period
• Gender: Female and Male; Female preferred
• Qualification: Information Technology or Engineering background
• Experience: 7+ years
• We don’t consider candidates who have changed multiple companies.
• Without mandatory skills experience, the candidate profiles will not be considered
• We want a candidate from Bangalore/Karnataka; we can look for a candidate from Tamil Nadu, Andhra Pradesh, and Kerala. Other Location candidates will not be accepted.

(Junior) IT PLM System Engineer

Company Name: Trelleborg

Company Website:

https://www.trelleborg.com/en

Website: www.tss.trelleborg.com/tssindia 

Location: BANGALORE - Hosa Road

About Company

Company Profile

Trelleborg Sealing Solutions (TSS), a business area of Trelleborg Group is headquartered in Sweden, with manufacturing locations and marketing network across the world. 

Trelleborg Group is the world's largest non-tire rubber supplier with presence in almost 40 countries and employing about 16700 people. 2022 worldwide sales figures stood at SEK 30 Billion (Euro 2.8 billion) in the 2 business areas (Trelleborg Industrial Solutions and Trelleborg Sealing Solutions).

Trelleborg Sealing Solutions is a leading global supplier of precision seals for the Industrial (No. 1 in Europe), Automotive (leading in specific niches) and Aerospace markets (No. 1 in Europe / No.2 in US). Vital Statistics are as follows:

➢ Sales: Over Euro 1473 M

➢ Employees: 9,500 approx

➢ Manufacturing in 44 Sites

➢ 62 Customer Solution Centers, 12 R&D, 2 Customer Innovation Center and 7 SCM Centers.

Trelleborg Sealing Solutions India was founded in 1978 as Rollon Bearings, joined the Trelleborg Group in 2005. The company with about 700 employees in manufacturing facilities and marketing offices (including 9 Home Offices) across India has been successful in creating strong footholds in the Sealing market of the country (Location Details on next page) and is recognised as the Leading Sealing Solution Provider in India.

It has its major customers in segments like Aerospace, Automotive, Railways, Industrial applications, Power, Agriculture, Life science etc. 

The various benefits that these customers observe while partnering with TSS are:

- Product Quality and Value for Money

- Technical Acumen of the Application Engineering department that provides guidance for customised solutions.

- Local Technical Support to understand the customer needs in a better way.

- Systematic Logistic Management to support JIT and serve customer schedules with high level delivery performance.

- A world class manufacturing facility and streamlined imports, which enables a wide range of product portfolio.

TSS India is not about products but about providing Solutions to our Customers.

Business Unit: Trelleborg Sealing Solutions , #22/9, Beratena Agrahara, Hosur Main Road, Bengaluru - 560100 Karnataka, India

Mode of Working: Work From Office

Responsibilities

Position title: (Junior) IT PLM System Engineer

Summary - 

This role involves aiding in the implementation of CAD and PLM solutions while collaborating with global business stakeholders to translate business requirements into effective, industry-standard solutions. It focuses on maintaining existing solutions and developing new solutions based on user feedback, grounded in industry best practices.

Additionally, identifying opportunities to simplify applications. The position also supports the standardization of engineering tools like CAD/CAM/CAE globally, inclusive of data analysis to identify root causes and resolve errors and operational issues.

Responsibilities:

• Administration of Teamcenter, including license management, Teamcenter Installation, Configuration, Deployments, maintenance, and update Teamcenter patches
• Independently work to implement enhancements
• Interact with business for important and impactful projects
• End user & customer satisfaction with current business process
• Conducting system testing, troubleshooting, and assisting issue resolution to ensure a stable and reliable PLM environment
• Support users / key users in functional area through an established Service Desk / ticketing system, concentrating on the incident and problem resolution. Execute end user training for appropriate areas
• Work as part of project team to deliver on the scope defined in the project
• Experience with Siemens Teamcenter product configuration
• Experience with Siemens NX customer default administration and NX Open scripts
• Proficiency in PowerShell scripting
• Ability and willingness to develop new tools & web applications that help the CAD community

Education and Experience:

• Information Technology or Engineering background
• At least 3 years of experience in Teamcenter and NX projects
• Knowledge about Siemens Teamcenter Architecture & Data model
• Experience with BMIDE configurations and deployments
• Knowledge of NX and NX integration including customer default managment
• Experience with NXOpen automation scripting
• Knowledge of Catia TCIC integration
• Proficiency with workflow designer

Competencies:

• A strong Team player
• Strong communication skills
• Outstanding interpersonal skills, including the proven ability to work across different audiences, personalities and experience levels
• Great skills for inter-team collaboration & integration
• Thinking out of the box and coming up with excellent solutions
• Self-motivated with ability to coordinate projects and report status and progress
• Proficiency with the English language

Behavioral Characteristics

• Self motivated
• Passionate about learning new things and taking challenges positively.
• Eager to learn the capability
• Able to communicate ideas effectively
• Ability to communicate effectively with business users and other IT Groups
• High level of self-control and good personal time management.
• Flexible adaptation to business process alignment with the system and industry best practices

Geography to cover and Travel requirements

• Able to travel globally and work effectively in a remote situation dealing with all levels of the organization.
• Role is a global role with scope including all TSS sites.
• Day and overnight travel up to 25% may be required to domestic & international locations.

Key Interfaces and Stakeholders

• Internal engineering community, including R&D, Manufacturing Operations of both plastics and elastomers, and Aerospace.

Interview process: 2 rounds - Virtual interview and 1 round Face to Face

Any other Criteria

• Notice Period: Below 60 Days only. No Negotiation on Notice Period
• Gender: Female and Male; Female preferred
• Qualification: Information Technology or Engineering background
• Experience: 3+ years
• We don’t consider candidates who have changed multiple companies.
• Without mandatory skills experience, the candidate profiles will not be considered
• We want a candidate from Bangalore/Karnataka; we can look for a candidate from Tamil Nadu, Andhra Pradesh, and Kerala. Other Location candidates will not be accepted.

Hiring: Lead Java Developer | Bangalore / Mumbai | Immediate Joiners

Experience: 8+ Years

Location: Bangalore / Mumbai

Education:

• Only IIT / NIT Graduates
• B.E./B.Tech Mandatory

Mandatory Skills:

• Strong Core Java Experience
• BPMN (Business Process Model and Notation)
• Experience with AI-Powered Code Generation Tools (GitHub Copilot, Cursor, etc.)
• System Design & Architecture
• Strong Problem-Solving Skills
• Experience Leading Development Teams

Requirements:

• 8+ years of hands-on experience in Java development
• Lead-level experience preferred
• Immediate joiners only
• Excellent communication and stakeholder management skills

About the Role

We are seeking a hands-on Tech Lead to design, build, and integrate AI-driven systems that automate and enhance real-world business workflows. This is a high-impact role for someone who enjoys full-stack ownership — from backend AI architecture to frontend user experiences — and can align engineering decisions with measurable product outcomes.

You will begin as a strong individual contributor, independently architecting and deploying AI-powered solutions. As the product portfolio scales, you will lead a distributed team across India and Australia, acting as a System Integrator to align engineering, data, and AI contributions into cohesive production systems.

Example Project

Design and deploy a multi-agent AI system to automate critical stages of a company’s sales cycle, including:

• Generating client proposals using historical SharePoint data and CRM insights
• Summarizing meeting transcripts
• Drafting follow-up communications
• Feeding structured insights into dashboards and workflow tools

The solution will combine RAG pipelines, LLM reasoning, and React-based interfaces to deliver measurable productivity gains.

Key Responsibilities

• Architect and implement AI workflows using LLMs, vector databases, and automation frameworks
• Act as a System Integrator, coordinating deliverables across distributed engineering and AI teams
• Develop frontend interfaces using React/JavaScript to enable seamless human-AI collaboration
• Design APIs and microservices integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure)
• Drive architecture decisions balancing scalability, performance, and security
• Collaborate with product managers, clients, and data teams to translate business use cases into production-ready systems
• Mentor junior engineers and evolve into a broader leadership role as the team grows

Ideal Candidate Profile

Experience Requirements

• 5+ years in full-stack development (Python backend + React/JavaScript frontend)
• Strong experience in API and microservice integration
• 2+ years leading technical teams and coordinating distributed engineering efforts
• 1+ year of hands-on AI project experience (LLMs, Transformers, LangChain, OpenAI/Azure AI frameworks)
• Prior experience in B2B SaaS environments, particularly in AI, automation, or enterprise productivity solutions

Technical Expertise

• Designing and implementing AI workflows including RAG pipelines, vector databases, and prompt orchestration
• Ensuring backend and AI systems are scalable, reliable, observable, and secure
• Familiarity with enterprise integrations (SharePoint, Teams, Databricks, Azure)
• Experience building production-grade AI systems within enterprise SaaS ecosystems

Software Engineer II to join Planview’s Keyedin team.

Planview is an enterprise software company focused on portfolio and work management, helping organizations plan, prioritize, and deliver work across strategy, teams, and technology. Its product portfolio spans project and portfolio management (PPM), enterprise agile planning, product portfolio management, and work management tools — including offerings like AdaptiveWork, Planview PPM Pro, ProjectPlace, Planview Viz, and Deliver (One2Team), plus its ProjectAdvantage (formerly Sciforma) product for project and resource management. The company serves a wide range of industries, from financial services to technology to government, helping large organizations connect strategy to execution and manage complex portfolios of projects, products, and resources.

About the Role:

You’ll work on a product that combines legacy and modern technologies, contributing across the full stack while helping shape future platform integrations, connectors, and AI-powered capabilities. You’ll also work directly on customer-facing tickets and real-world product challenges, gaining hands-on exposure to the application and its technology stack from day one.

What You’ll Work On

• Customer-facing development and product enhancements
• Platform integrations and connector development
• Cloud technologies and AI-enabled capabilities
• Maintenance and modernization of existing product functionality
• Collaboration on new technologies as the platform evolves

Must-Have Skills

• C#/.NET, MVC, VB.NET, Web API, and Dapper
• Angular, HTML, CSS, and JavaScript/TypeScript
• Unit testing using NUnit, Jasmine, and Karma
• IIS
• SQL Server, including functions, stored procedures, and scheduled jobs
• Experience with AI coding tools such as Claude, GitHub Copilot, or similar

Nice-to-Have Skills

• Integration testing
• Azure DevOps
• Power BI
• Cloud platforms such as Azure or AWS

Growth Opportunity

Over the next 1–2 years, you’ll have the opportunity to progress from handling customer-facing issues to owning complex technical problems and key product areas. You’ll build expertise across legacy and modern technologies, integrations, cloud, and AI, with a path toward leading technical initiatives, contributing to architectural and product decisions, mentoring engineers, and progressing toward a senior or technical leadership role.

Team Culture and Work Style

The Keyedin team is learning-focused, collaborative, and customer-focused. This role follows a hybrid work model with two days per week in the office and no shift work.

If this opportunity aligns with your experience and career goals, please share your updated resume and let me know a convenient time to connect.

Skills

·      Proven experience as a Technology Lead or Senior Developer with strong hands-on expertise in Java Spring Boot, Tomcat, MySQL, RESTful and SOAP APIs, ORM frameworks, Redis, JavaScript, and AngularJS/ReactJS.

·      Solid understanding of application architecture, security principles, design patterns, and industry best practices.

·      Demonstrated capability to lead and mentor development teams through the design, development, testing, and deployment of web applications using Java Spring Boot and related technologies.

·      Excellent problem-solving and analytical skills, with a strong ability to troubleshoot, diagnose, and resolve technical issues to ensure application stability and performance.

Responsibilities

·      Design and implement high-level and low-level architectures for complex software systems.

·      Collaborate closely with cross-functional teams and Business Analysts to understand business needs and translate them into effective technical solutions.

·      Enforce software development best practices, including code reviews, performance optimizations, and quality assurance standards.

·      Lead and manage a team of developers, providing technical guidance and ensuring timely delivery of high-quality solutions.

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Roles & Responsibilities

1. Write, review and merge production code across Vue.js frontend and Node.js backend
2. Own code quality for the India team — set review standards and refactor technical debt
3. Debug across the full stack — from Vue rendering issues to Mongo aggregations to Kubernetes pod issues
4. Guide the team on day-to-day development decisions and step in on unsolved problems
5. Design solutions for new modules from spec to schema to API contract to implementation
6. Own MongoDB data modelling decisions — document structure, embedding vs referencing, index strategy
7. Review Node.js service design: API structure, error handling, validation, authentication, rate limiting, background processing
8. Make and document build-vs-buy calls on third-party services with cost and integration effort
9. Ensure the platform stays stable and performant on a live, revenue-generating system
10. Demonstrate daily working use of AI coding tools and spec-driven development practice
11. Judge AI output quality and know when tasks should not be handed to agents
12. Set up and maintain repo-level context files and make the team's AI setup consistent
13. Coach the team on AI tools while holding the line on quality
14. Work with LLM APIs, embeddings, semantic search and understand where AI features help
15. Run sprint planning, estimation, standups and retros for the India team
16. Break requirements into technical tasks with clear acceptance criteria
17. Track velocity and flag slippage and blockers early
18. Own release coordination — deployment planning, rollback strategy and post-release monitoring
19. Line-manage 6–10 engineers across web, mobile and QA — 1:1s, feedback, performance conversations and growth planning
20. Mentor mid-level engineers into senior ones and build depth
21. Participate in hiring — technical screening, interviewing and onboarding
22. Keep the team's engineering practices consistent: documentation, testing, branching, incident handling
23. Act as the main technical point of contact between the India team and the UAE office product and business stakeholders
24. Communicate clearly to mixed technical and non-technical audiences — status, risk, trade-offs and time cost
25. Manage the time-zone gap with structured overlap hours, written updates and async documentation
26. Own technical delivery on modules including product catalogue, pricing, ordering, workflows, order management, payments, invoicing and vendor onboarding

Ideal Candidate

1Strong Hands-On Technical Team Lead Profile (Vue.js + Node.js) with AI-assisted development and B2B e-commerce exposure2Mandatory (Experience) - Must have 8+ years of software engineering experience with at least 2+ years leading a team of 5 or more engineers3Mandatory (Tech skill 1): Must have strong, current, hands-on Vue.js experience including component architecture, state management and performance optimisation4Mandatory (Tech skill 2): Must have strong, current, hands-on Node.js and Express experience for production API development at scale5Mandatory (Tech skill 3): Must have deep MongoDB experience including aggregation pipelines, index design, query performance tuning and schema decisions6Mandatory (Tech skill 4): Must have AWS experience particularly Kubernetes/EKS with deployments, resource limits, health probes and production monitoring7Mandatory (Tech skill 5): Must have working understanding of Flutter including widget architecture, state management, platform channels and Play Store/App Store release pipelines8Mandatory (Tech skill 6): Must have demonstrable, daily professional use of AI coding tools (Claude Code, Cursor, GitHub Copilot, Gemini CLI or equivalent) with real examples9Mandatory (Tech skill 7): Must have experience with spec-driven development including writing structured requirement and design documents and reviewing AI-generated output against acceptance criteria10Mandatory (Tech skill 8): Must have experience setting up and maintaining repo-level context files, rules files and custom commands for AI development11Mandatory (Tech skill 9): Must have Git and CI/CD experience including branching strategy, review workflow and automated pipelines12Mandatory (Leadership): Must have line-managed engineers (1:1s, feedback, performance, growth), mentored mid-to-senior, and participated in hiring13Mandatory (Communication): Must communicate clearly to mixed technical/non-technical audiences and manage a time-zone gap with structured overlap and async documentation (works with the UAE office)14Mandatory (Education): Bachelor's or Master's in Computer Science, Engineering or related field15Mandatory (Domain): Background in B2B e-commerce, wholesale/distribution or marketplace platforms16Preferred (Offshore Experience): Experience working as the offshore technical counterpart to an overseas leadership team17Preferred (AI Integration): Experience integrating LLM APIs into a production product18Preferred (Observability): Exposure to observability tooling such as CloudWatch, Datadog or Sentry and analytics instrumentation19Preferred (Third-party Integrations): Experience with payment gateways, e-signature, logistics APIs, mapping and geolocation integrations

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

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