Engineering Manager

Engineering Manager – Backend 

Location: Flexible / Hybrid (Mon–Fri)

Website: https://www.solarsquare.in

About the Role

SolarSquare is building the infrastructure for India's clean energy transition. We're looking for an Engineering Manager who doesn't just run a team — someone who builds one from the ground up, makes consequential technical bets, and treats engineering outcomes as business outcomes.

You'll own the technical strategy and delivery for our full-stack platform, lead a growing team of SDE1–SDE3 engineers, and work directly with product, design, and business to shape what we build and how fast we build it. This is a role for someone who has operated in resource-constrained environments, shipped systems that held up under pressure, and left every team they've led measurably better than they found it.

If you've only ever executed someone else's roadmap, this isn't the right fit. If you've ever built something from scratch and felt personally responsible for whether it worked.

What You'll Own

Team & Culture

• Build, hire, and develop a high-performing full-stack engineering team  including setting the bar for what "high-performing" means at SolarSquare
• Create genuine career growth paths for engineers.
• Maintain team health, retention, and motivation through periods of rapid change and ambiguity

Technical Strategy

• Define and drive the architectural roadmap
• Make and own technical bets: when to invest in platform, when to ship fast, when to pay down debt
• Establish observability, reliability, and security standards before they become production fires

Delivery

• Translate business goals into engineering priorities  and push back when the translation is wrong
• Set clear goals, metrics, and delivery expectations; hold yourself and the team accountable to them
• Manage trade-offs between short-term product velocity and long-term engineering health

Cross-Functional Influence

• Partner with Product, Design, and Business stakeholders  and influence decisions upstream.
• Communicate technical risk, cost, and complexity clearly to non-technical leadership
• 
  

What We're Looking For

• 7–10 years of engineering experience, with at least 3 years leading teams.
• Strong understanding of distributed systems design: idempotency, retries, DLQs, circuit breakers, eventual consistency, you've had to debug these in production.
• Proven experience with event-driven architecture and Kafka including schema design, consumer group management, and failure recovery patterns.
• Comfort with relational (PostgreSQL) and NoSQL (MongoDB, Redis, ) databases  including query optimisation and schema design decisions at scale.
• You've designed or operated systems handling meaningful traffic  ideally 10K+ RPS. significant daily transaction volumes, or consumer-scale user bases (1M+ users)
• You understand what 99.99% uptime actually costs to maintain and you've made the infrastructure and on-call decisions to back it.
• You've written or enforced SLOs, SLAs, and incident management processes.
• You've done a postmortem that changed something real about how the team operates.
• Hands-on experience with AWS, GCP, or Azure beyond just deploying services, cost optimisation, right-sizing, architecture decisions that meaningfully reduced spend
• Working knowledge of containerisation (Docker) and orchestration (Kubernetes) enough to unblock your team.
• CI/CD pipeline ownership  you've built or significantly improved a pipeline.
• Experience with observability tooling: Prometheus, Grafana, Datadog, ELK, or equivalent  and more importantly, a philosophy about what to instrument and why
• You've made the call between monolith and microservices  and you can defend it with context.
• You've managed technical debt consciously: triaged it, prioritised it, and made the case to stakeholders for when to pay it down
• You've navigated a hard conversation with a product or business stakeholder  and changed the outcome
• Your engineers grow under you. You can point to people you've promoted, coached, or unblocked
• You know how to build alignment across functions where incentives don't naturally align
• You have clear examples of decisions you made under ambiguity  and you can articulate the trade-offs you weighed
• You've identified a systemic problem and fixed it without being asked
• You've built or rebuilt something that wasn't working  a team, a process, a system

Work Arrangement

Flexible work setup, including hybrid options. Monday to Friday. Learn more about us at https://www.solarsquare.in.

Role & Responsibilities

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high quality cloud based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate

• Strong Software Engineer fullstack profile using NodeJS, Python, and React
• Mandatory (Experience) - Must have 6+ YOE in Software Development using Python and NodeJS (For backend) & React (For frontend)
• Mandatory (Core Skills 1): Must have strong experience in working on Typescript
• Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis
• Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB
• Mandatory (Company) - Product Companies Only
• Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies
• Mandatory (Note) : This role is a hybrid role (2 days WFO)
• Preferred (Experience): Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Preferred (Mentoring): Experience in mentoring, coaching the team.

About the role

You'll work on cloud software that helps technical teams collaborate and move faster: an established, in-production product that real customers rely on every day. You'll work directly with leadership who built products at Meta and Apple, on a team where you own meaningful work and your decisions have direct impact.

Location: On-site, Financial District, Hyderabad

What you'll do

• Lead the engineering team day to day, owning delivery and technical direction
• Architect projects end to end and make the high-leverage technical decisions across the stack, in ReactJS, NodeJS, and AWS
• Set up the engineering processes, standards, and rituals that let the team ship fast without breaking things
• Mentor and grow engineers, raising the bar across the team
• Break complex, ambiguous problems into clear plans and drive them to done
• Make deliberate tradeoffs between creating tech debt and delivering business requirements

What we're looking for

• 8+ years of full stack engineering experience (strong senior engineers ready to step into a lead role are welcome)
• Deep, hands-on command of ReactJS, NodeJS, and AWS
• A track record of technical leadership: architecting systems, mentoring engineers, and setting up engineering processes
• Strong fundamentals in data structures and algorithms
• Excellent communication and the ability to thrive in a fast-paced, collaborative environment
• Bonus if you know: TypeScript, SQL, ExpressJS

Who you are

• You have serious work ethic. You get a high from checking things off and seeing results.
• You're curious, resourceful, and self-learning.
• You take ownership and bring the hustle.
• You lead by example and bring momentum to everything and everyone you work with.

📌Important: To complete your application for this role, please fill out this short screening form: [https://app.botfriday.ai/#/open/external-job-application/792cccfa-c046-4092-b20d-814705d5314f].

Only candidates who complete this step will be considered for further rounds."

About the company

The client is the home base for hardware engineers. They give the teams building robots, rockets, medical devices, and the next generation of physical products a single place to move fast without breaking things, turning CAD chaos into a system of record engineers actually love to work in. We're profitable, post-Series A, and growing our Hyderabad engineering team.

About the role

We're looking for a tech lead to set the technical direction for a growing team and raise the bar for everyone around them. This is a hands-on leadership role: you'll still write production code, but your largest impact comes through architecture, mentorship, and the standards you instill. You own outcomes for a team, not just your own commits. 

What you'll do

• Lead the technical direction of a team building across our TypeScript/React + Node.js + AWS stack
• Drive architecture decisions, document tradeoffs, and align the team on a clear technical path Mentor engineers through code review, pairing, and guidance, growing them toward strong production ownership
• Set and uphold standards for code quality, testing, and operational rigor
• Stay hands-on: write production code on the highest-leverage and hardest problems
• Partner with product and leadership to scope work, manage technical risk, and deliver predictably
• Be accountable for the reliability and maturity of the systems your team owns in production

What we're looking for

• Demonstrated technical leadership: you've set direction for a team and elevated those around you
• Strong full-stack proficiency in TypeScript, React, and Node.js, plus solid AWS depth
• A track record of shipping to production and owning systems in operation, and of holding a team to that same standard
• Strong architectural judgment: you decompose ambiguous problems, weigh tradeoffs, and make decisions others can build on
• Excellent communication: you keep your team aligned and stakeholders informed, and you surface risk early
• Comfort leading in a fast-paced, high-ownership early-stage environment 

Why choose us?

• The teams building advanced hardware and the robots, machines, and devices shaping the future run
• Direct access to founders; you'll help shape product and engineering direction, not just execute tickets
• Fast feedback loops: what you build is in front of customers in days, not quarters
• Profitable at Series A, so you get startup upside without the constant fundraising-survival anxiety
• Competitive compensation and meaningful equity
• Bi-yearly appraisal cycles
• Upto 20% Bonus based on performance
• Monthly Swiggy vouchers
• Flexibility with work hours

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. 

This role is part of Cognizant IOA (Intuitive Operations and Automation) — and more specifically, a product team with its own origin story. We started as Matterway, a German startup building automation software from scratch. We were acquired by Cognizant, but we kept our team, our culture, our pace, and our way of working. We move like a startup, think like a startup, and now do it with the backing of a global company. 

We combine human expertise with intelligent automation, ML operations, and digital experience solutions to help technology and digital-native companies build smarter, more adaptive operating models. 

What's the opportunity? 

We are looking for Senior Product Engineers to join our team. We're a tight crew of 5 senior engineers, from different corners of the world. We're hiring 3 more people, and those people will shape what this team becomes. 

We're building a platform to support the agentification of our operations. You'll work across a suite of products including a cloud platform for process optimization, desktop application, browser extension, and specialized AI agents. 

This is genuinely frontier work: we don't follow AI trends, we implement them. New model drops on a Monday; we've prototyped with it by Wednesday. 

We believe this is the most exciting time to join. Be part of the founding R&D talent in this area and help set the technical bar for everything that comes next. 

What will you be doing? 

Your day-to-day responsibilities: 

• Design and evolve the core architecture of our platform 
• Set technical standards and take ownership of complex projects end-to-end 
• Work on a well-architected, fast-evolving TypeScript codebase using technologies such as React, Node.js, Electron, and GraphQL 
• Collaborate with product managers, designers, and engineers to solve challenging technical and business problems, with real autonomy 
• Participate in the full development lifecycle: scoping, design, estimation, coding, testing, debugging, code reviews, maintenance, and support 
• Evaluate and implement proofs of concept using the latest AI tools and models 

You will know you're successful if: 

• You develop projects independently until they deliver their intended business value 
• You keep top-notch software quality standards about design, implementation, and documentation 
• You're the person who brings something new to the team's radar, a model, a technique, a tool, before anyone else has heard of it 

What makes you a great fit 

Must-haves: 

• Excellent English (C1+) with exceptional written and verbal communication 
• Strong proficiency with TypeScript across frontend and backend, including building and maintaining Node.js-based services 
• Experience in frontend development using modern frameworks such as Vue.js or React 
• Knowledge of any E2E testing framework such as Playwright, Puppeteer, Selenium, Cypress 
• Ability to work independently and take ownership of deliverables 
• Strong technical fundamentals, genuine intellectual curiosity, and a drive to keep getting better 
• You follow AI closely, not just as a user but as someone who reads the papers, watches the releases, and has opinions. You're excited about where this is going and want to be building at the edge of it 

Nice-to-haves: 

• Familiarity with AI-coding tooling (Claude Code, Cursor, OpenCode, etc.) 
• Experience with cloud infrastructure (AWS, Azure or GCP) and infra-as-code deployment 
• Having built or maintained CI/CD pipelines or workflows, especially GitHub actions 

Why join us? 

• Be at the cutting edge of AI agents and applying LLMs to real-world use cases, not in theory but in production 
• Work on hard problems with high agency: your ideas get heard; your decisions get shipped 
• Join a small but growing internationally distributed team. 
• giving you real influence over how it evolves 
• The resources of a global company with the speed and culture of a startup 
• Remote-first set-up, with the option to work from one of our 13 locations in India: Chennai, Bangalore, Hyderabad, Pune, Mumbai, Gurgaon, Noida, Kolkata, Kochi, Coimbatore, Bhubaneswar, Mangalore, and Indore 
• Flexible working hours 
• Collaborative, pragmatic engineering culture focused on outcomes 
• Fast-growing team within Cognizant, with access to global resources and real career opportunities 

Role- Sr Senior Engineer 

Location -Hyderabad 

Shift -Night Shift starts from 8:30 PM IST 

About The Role

As a Senior Engineer on the team, you will own systems end to end across a high-volume, event-driven surface. You'll build the APIs and services behind key initiatives including:

- The driver comms platform — the rules engine, cohorting, and scheduling that reach drivers across SMS, push, and email

 - The onboarding funnel and applicant tracking layer, architected to support Veho's move to an in-house system over time

 - Live selling workflows that turn live offer and market-clearing data into well-timed, well-targeted driver outreach

You'll partner closely with Product, Design, Operations, and Data Science to ship tooling that scales with Veho's growth.

Responsibilities Include:

- Design, build, test, and deploy features across the driver-facing apps (driver mobile app, onboarding and registration surfaces), our GraphQL APIs, and the event-driven services behind them

 - Own a problem end to end: write the design doc your team works from, build it, roll it out behind a feature flag, and stay on it after launch until it is stable

 - Own the driver comms platform — the rules engine, cohorting, and scheduling that decide when to reach a driver over SMS, push, or email, and the delivery services behind it

 - Build the onboarding funnel and applicant tracking layer: registration and set-password flows, consent and eligibility gating, and the integrations that track where every applicant sits in the funnel

 - Build live selling workflows that consume live offer data and market-clearing signals to notify the right driver cohorts only when routes are actually claimable

 - Contribute to architectural decisions and technical design for complex, distributed systems, and architect today's comms and onboarding infrastructure so it supports the eventual in-house replacement of our third-party ATS rather than becoming throwaway work

 - Break a project into milestones your product, design, ops, and data partners can plan against

 - Write correctness-first code in an event-driven system where delivery is at-least-once and no driver may be texted twice about the same route — and where a send must never fire when there is no offer to claim

 - Improve reliability and observability in the services you own, with alerts that fire on real problems and stay quiet otherwise, so an on-call engineer is paged for a broken send pipeline and not for noise

 - Propose the engineering work your team should be doing, including the reliability, data-quality, and compliance work nobody is asking for

 - Use AI-native development workflows and tooling (Claude Code, Cursor, Copilot, and similar) as part of how you ship

 - Mentor the engineers around you, keep the team's code review bar high, and write down what you learn

What You Bring:

- 5–7+ years of experience building, testing, and deploying applications in high-traffic production environments

 - Depth in AWS serverless, including Lambda, a managed GraphQL layer such as AppSync, DynamoDB, EventBridge, and SQS

 - Experience with event-driven systems and the idempotency work that comes with at-least-once delivery — especially in a comms context where duplicate or misfired messages reach real people

 - Strong full-stack experience with TypeScript, Node.js, GraphQL, and React

 - Experience with DynamoDB single-table design

 - Experience integrating with third-party platforms and their webhooks, and keeping the data they produce in sync and trustworthy across services

 - At least one project owned through production rollout, including what broke afterward and who fixed it

 - Experience operating a service in production long enough to own its failure modes

 - Judgment about what a design costs in engineering time, dollars, and vendor commitment

 - A self-starter mindset with the ability to move quickly and ship iteratively, including on migrations, compliance obligations, and the manual steps nobody has automated yet

 - Enthusiasm for working closely with product, design, operations, data science, and support partners

-Tech Stack: AWS, TypeScript, Node.js, React, React Native, GraphQL, DynamoDB, serverless event-driven architecture; 

multi-channel comms (SMS, push, email); Firebase Auth; Statsig for experimentation; Redshift/Databricks-backed data pipelines

Preferred:

 - Experience with applicant tracking / recruiting funnels or other funnel-driven onboarding systems, and the drop-off analysis that improves them

 - Experience with experimentation and analytics infrastructure (Statsig, Fivetran, Redshift, Databricks) to measure and tune what you ship

 - Consent modeling and compliance obligations (e.g., driver terms-and-conditions and messaging consent) that span services

Senior Backend Engineer

Node.js, System Design & Production Platforms

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior Backend Engineer to own the backend architecture of a complex production AI platform on a dedicated client engagement: API design and data modelling, multi-tenancy, orchestration of long-running agent workloads, and the services that manage user projects and generated output.

We are open to full stack engineers whose primary strength and interest is backend. If you have shipped full stack work but the backend is where you do your deepest engineering, you are a fit for this role.

The mandatory requirement for this role is hands-on production experience as a senior backend engineer building complex, scalable systems in Node.js, with end-to-end ownership of architecture, data, and operations on at least one live platform.

The role is hands-on and architectural.

Expect to design system architecture, lead a small group of backend engineers, build the hardest parts yourself, set engineering standards, and partner closely with frontend, AI, and DevOps engineers.

A typical week includes an architecture decision on a new service, hands-on implementation of a critical path, a code review with mid-level engineers, and a working session with the AI engineer on an integration contract.

Responsibilities:

System Architecture

Own the backend architecture across engagements.

Make and document decisions on service boundaries, data models, API contracts, deployment topology, and trade-offs.

Hands-on Backend Delivery

Lead by example on complex modules, performance-critical paths, and high-risk areas using Node.js (Express, NestJS, Fastify) with TypeScript.

Pick up Python (FastAPI) where engagements require it.

Database Design and Performance

Drive PostgreSQL schema design, indexing, query optimisation, migrations, and capacity planning.

Set the data-modelling standard across the pod.

Caching, Queues, and Workflows

Design caching (Redis), event-driven patterns (Kafka, RabbitMQ, SQS, NATS), and long-running workflow orchestration (Temporal, BullMQ, Celery, or equivalent).

Handle retries, idempotency, and failure recovery.

Multi-Tenancy and Platform Patterns

Design and implement multi-tenant data isolation, RBAC, audit logging, and resource quotas appropriate to enterprise-grade products.

API and Integration Design

Set the standard for REST, GraphQL, and gRPC contracts.

Drive versioning, authentication (OAuth, JWT, SSO), security by default, and developer ergonomics.

Observability and Operations

Instrument services with OpenTelemetry, Prometheus, and Grafana.

Define SLOs, lead incident response, and write postmortems.

Code Quality and Mentorship

Run code reviews, define conventions, mentor mid-level engineers, and raise the engineering bar.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day.

Set the team standard for prompts, patterns, AI-assisted review, and validation of AI-generated backend code.

Client Engagement

Represent Unico Connect in technical conversations with customers.

Defend architectural decisions, communicate trade-offs, and manage scope.

Requirements:

Hands-on Production Experience as a Senior or Lead Backend Engineer in Node.js (Mandatory)

Must have personally built and shipped complex production systems in Node.js, owning architecture, data, and operations on at least one live engagement.

Full stack engineers whose deepest work is on the backend qualify.

POCs and internal tools alone do not qualify.

5+ Years of Professional Backend Engineering Experience

With at least 1 to 2 years in a senior or lead role with direct responsibility for technical decisions and team output.

Deep Node.js and TypeScript Proficiency

Strong with Express, NestJS, or Fastify.

Comfort with async patterns, streams, worker threads, and performance profiling.

Python as a Strong Plus

Hands-on production experience with FastAPI, Django, or Flask is a meaningful advantage.

Willingness and demonstrated ability to pick up Python as engagements demand is required.

PostgreSQL Depth

Schema design, normalisation, indexing, query performance, migrations, and at least one production system where you owned the data model end to end.

Caching and Event-Driven Architecture

Hands-on with Redis (or equivalent) and message queues or event-driven patterns (RabbitMQ, SQS, Kafka, NATS).

AWS Depth

Hands-on production experience with EC2, S3, RDS, IAM, VPC, ECR, and at least one of EKS, ECS, or Lambda.

Comfort owning deployment, monitoring, and cost.

System Design and End-to-End Ownership

Able to take an ambiguous problem, break it into components, evaluate alternatives, produce an architecture that holds up under review and load, plan execution, and ship with limited supervision.

AI-Assisted Engineering Experience

Daily use of Claude, Cursor, Copilot, or equivalent.

Strong discipline for reviewing and validating AI-generated backend code.

Excellent Written and Spoken English

Experience working directly with international clients.

Confident defending architectural choices in writing and in review.

Nice to Have:

• Workflow orchestration (Temporal, Airflow)
• GraphQL (Apollo, gRPC)
• Sandboxed execution environments
• Multi-tenant SaaS experience
• OpenTelemetry instrumentation
• Prior agency or consulting experience

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

Job Title: Technical Lead

Experience: 6+ Years

Job Type: Full-Time

Department: Engineering

Job Location: Sec-62, Noida.

Job Summary

We are looking for an experienced and hands-on Technical Lead with strong software engineering expertise and a proven track record of building scalable, secure, and production-grade web applications.

The ideal candidate will have 6+ years of software development experience, strong expertise across modern frontend and backend technologies, and the ability to take end-to-end technical ownership—from architecture and development through deployment and production support.

The role requires a technically hands-on leader who can provide architectural direction, mentor developers, review code, solve complex engineering challenges, and ensure high standards of engineering quality.

Practical knowledge of AI/GenAI technologies is important. Prior experience in the Indian FinTech/BFSI ecosystem will be strongly preferred.

Key Responsibilities

• Lead the technical design, architecture, development, and delivery of web-based applications.
• Take end-to-end technical ownership of projects, ensuring scalable, maintainable, secure, and high-quality implementations.
• Work hands-on across frontend, backend, databases, APIs, cloud infrastructure, and third-party integrations.
• Define technical architecture, technology choices, coding standards, and engineering best practices.
• Conduct code reviews and ensure high standards of code quality, performance, security, and maintainability.
• Mentor developers and provide technical guidance throughout design and implementation.
• Identify technical risks, bottlenecks, scalability concerns, and architectural challenges early in the development lifecycle.
• Collaborate with Product Managers, Business Analysts, Designers, QA, DevOps, and other stakeholders to translate business requirements into effective technical solutions.

• Participate in effort estimation, sprint planning, technical discussions, and delivery planning.
• Troubleshoot complex production issues and drive root-cause analysis and permanent resolutions.
• Evaluate and introduce new technologies, frameworks, development practices, and AI-assisted engineering tools where appropriate.
• Identify opportunities to incorporate AI/GenAI capabilities into products, workflows, and internal engineering processes.
• Ensure applications follow appropriate practices for security, data privacy, authentication, authorization, logging, and monitoring.

Technical Skills & Requirements

Mandatory

• 6+ years of professional software development experience.
• Strong experience building and maintaining production-grade web applications.
• Strong proficiency in modern JavaScript/TypeScript ecosystems.
• Experience with frontend frameworks such as React.js, Next.js, Angular, Vue.js, or similar.
• Strong backend development experience using Node.js and/or other modern backend frameworks and languages.
• Strong understanding of REST APIs, microservices, API design, authentication, authorization, and third-party integrations.
• Experience with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, etc.
• Good understanding of system design, distributed systems, scalability, caching, asynchronous processing, and performance optimization.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with Docker, CI/CD pipelines, Git-based development workflows, monitoring, and modern DevOps practices.
• Strong understanding of application security and secure software development practices.

AI / GenAI Skills

The candidate should have a practical understanding of the modern AI ecosystem and its application in software products.

Experience or knowledge in the following areas will be an advantage:

• LLM-based applications and APIs
• OpenAI, Anthropic, Gemini, or similar AI platforms
• AI agents and agentic workflows
• RAG and vector databases
• Prompt engineering and structured outputs
• AI-assisted development tools
• Integration of AI capabilities into existing web applications

• Reliability, security, privacy, cost, and hallucination considerations in production AI systems

Deep AI/ML research experience is not mandatory. The candidate should, however, be comfortable understanding and integrating modern AI capabilities into software products.

FinTech / BFSI Experience – Preferred

Prior experience working with FinTech, BFSI, lending, payments, banking, insurance, credit, or financial services products in India will be strongly preferred.

Experience in any of the following areas will be particularly valuable:

• Digital lending / Loan Management Systems
• Payments and payment gateways
• Credit bureau and credit-score integrations
• KYC / eKYC and identity verification
• Account Aggregator ecosystem
• UPI / NPCI integrations
• Banking and NBFC integrations
• Financial APIs and third-party FinTech platforms
• RBI-related technology and compliance requirements
• Data security and privacy requirements for financial applications

Leadership & Soft Skills

• Proven ability to lead and mentor engineering teams.
• Strong problem-solving, debugging, and analytical capabilities.
• Ability to make sound technical and architectural decisions.
• Strong ownership mindset with accountability for project delivery.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Comfortable working in a fast-paced environment with multiple projects and priorities.
• Ability to balance engineering quality with practical business and delivery requirements.
• Strong documentation and communication skills.

What We’re Looking For

We are looking for a hands-on Technical Lead rather than a purely managerial profile.

The ideal candidate should be able to:

• Understand business requirements and translate them into technical solutions.
• Design scalable and reliable application architecture.
• Guide and mentor engineering teams.
• Review critical code and technical implementations.
• Solve complex technical and production issues.
• Make effective technology and architecture decisions.
• Take ownership of delivering reliable products into production.

Mandatory Criteria

6+ years of software engineering experience with strong expertise in modern web technologies.

Strongly Preferred

• Experience building or leading FinTech products in India.
• Practical understanding of AI/GenAI technologies and their integration into modern software products.

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