Engineering Manager

Strong Engineering Manager / Lead Profiles

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Mandatory (Experience 1) – Must have minimum 8+ years of overall Software Engineering / Development experience with a strong IC foundation.

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Mandatory (Experience 2) – Must have 2+ years of formal Engineering Manager experience with direct people-management responsibility (informal Senior Engineer / Tech Lead experience managing a team does not count)

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Mandatory (Experience 3) – Must have directly managed 4–6+ engineers, including 1:1s, performance management, growth plans, promotions, mentoring, and team development.

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Mandatory (Experience 4) – Must own technical direction and delivery for an engineering team/pod, including architecture, system design, code/PR reviews, execution planning, and engineering quality.

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Mandatory (Experience 5) – Must have strong backend/software engineering experience with hands-on technical depth in building APIs, services, integrations, and scalable systems; specific language/framework can vary.

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Mandatory (Experience 6) – Must have experience owning production operations, including on-call, incident management, debugging, and postmortems for their area.

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Mandatory (Experience 7) – Must have experience driving cross-functional alignment with Product and Design and translating ambiguous business/product requirements into scalable technical solutions.

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Mandatory (Company) – Must be from a Product Company / Startup, particularly B2B SaaS, Fintech, Payments, or similar technology product environments. (Refer Target Company List)

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Mandatory (Role Fit) – Role is 80% people/team management and 20% technical/IC involvement;

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Preferred (Education) - Tier 1 engineering college

Celeco Labs is hiring a hands-on Head of Engineering on behalf of a confidential client in the housing-finance sector.

This is a role for an engineer who wants to own delivery, not only manage it. You will set the technical direction, build and maintain production systems, and work closely with the business team. You should be comfortable taking a requirement from the first discussion through technical planning, implementation, release, and production support.

What you will do

• Own the engineering roadmap and help decide what should be built first.

• Design, build, and maintain reliable customer-facing products and internal systems.

• Write production code and review code written by others.

• Turn business requirements into clear technical plans and releases.

• Choose practical architecture, tools, and vendors that fit the company's needs.

• Set working standards for testing, deployment, monitoring, backups, and access control.

• Protect customer and company data through practical security controls.

• Investigate production issues and make sure the same problems do not repeat.

• Help hire and guide a small engineering team as the company grows.

What we are looking for

• 3–5 years of professional software-engineering experience.

• Experience building and running production systems.

• Strong backend skills, including APIs, databases, and cloud services.

• Enough frontend knowledge to work across a product when needed.

• Good judgment about system design, security, reliability, and cost.

• The ability to explain technical choices in simple language.

• Comfort working independently and taking full ownership of delivery.

Experience in lending, housing finance, fintech, or another regulated industry is useful, but not required. Experience leading engineers or working directly with founders and business leaders is also useful.

How to apply

Please share your CV or LinkedIn profile and two short examples of production systems you have owned. This is a confidential search. More information about the company will be shared with shortlisted candidates during the interview process.

About the role

You'll join a growing engineering team as a Lead Engineer / Architect, leading a small team in India and working closely with engineering teams in the US and Mexico. You'll be responsible for driving technical execution, solving complex engineering problems, and leading a team to build, deliver, and maintain reliable software.

This is a hands-on leadership role for someone with strong backend engineering expertise who can also contribute across the stack when needed.

Location: Hyderabad

Work Mode: Hybrid

What you'll do

• Lead a small engineering team in India, driving day-to-day technical execution and delivery
• Work closely with teams in the US and Mexico to plan, develop, and deliver software
• Design and build robust, scalable backend systems using .NET
• Own technical decisions around architecture, implementation, and engineering best practices
• Contribute across the full stack when needed.
• Break down complex technical problems and drive them through to implementation and delivery
• Mentor engineers and help maintain a high standard of engineering quality
• Collaborate with distributed teams and communicate technical decisions clearly

What we're looking for

• 8+ years of software engineering experience, with experience in a lead-level role
• 2+ years of experience leading a team
• Strong, hands-on expertise in .NET and backend engineering
• Strong understanding of software architecture and scalable backend systems
• Full-stack experience is preferred, with React being a plus
• Experience leading a small engineering team and driving technical delivery
• Excellent communication skills, particularly when working with distributed teams
• Strong problem-solving skills and a hands-on approach to engineering
• AI expertise is a plus
• Experience with payment systems or payment-related products is a plus

Who you are

• You take ownership and drive work through to completion
• You're hands-on and enjoy solving challenging engineering problems
• You're curious, resourceful, and always looking to learn
• You communicate clearly and work well with teams across different locations
• You lead by example and help the team deliver high-quality work

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.

Key Responsibilities:

Team Leadership and Management:

• Lead, mentor, and manage a team of backend developers, fostering a culture of collaboration, innovation, and technical excellence.
• Promote a shared vision for the team, ensuring alignment with business goals and organizational objectives.
• Conduct performance reviews, provide constructive feedback, and create opportunities for team members’ professional growth.
• Drive cross-functional collaboration between development teams, designers, and product managers to deliver seamless and high-quality software.

Technical Strategy and Execution:

• Define and drive architectural decisions for both backend and frontend systems,ensuring scalability, reliability, and performance.
• Advocate and implement best practices in software development, including coding standards, test-driven development (TDD), and peer code reviews.
• Encourage the adoption of Large Language Models (LLMs) and AI-driven tools to optimize development and testing workflows.
• Provide technical direction on backend development using modern frameworks and languages, as well as frontend development using React, Angular, or Svelte.

Process and Quality Management:

• Ensure robust integration between backend APIs and frontend systems for seamless user experiences.
• Establish and enforce coding, testing, and deployment standards for both backend and frontend teams.
• Implement and optimize automated testing frameworks for backend and UI layers to ensure comprehensive coverage.
• Monitor system performance and application stability, proactively identifying and mitigating risks.
• Establish CI/CD pipelines and DevOps best practices for efficient and reliable delivery cycles.

Stakeholder Collaboration:

• Act as a bridge between engineering teams, business stakeholders, and leadership, ensuring effective communication and alignment.
• Translate complex business requirements into actionable technical solutions and guide teams through their implementation.
• Provide regular updates on progress, challenges, and innovations to stakeholders.

Innovation and Exploration:

• Stay updated on advancements in Large Language Models (LLMs) and integrate them into development and quality assurance workflows where applicable.
• Encourage the exploration of cutting-edge technologies, tools, and frameworks for both backend and frontend development.
• Champion the use of AI and machine learning tools for performance optimization, automated testing, and enhanced developer productivity.

Skills & Qualifications:

Must-Have Skills:

• Proven experience as an Engineering Manager or similar leadership role.
• Strong technical background in backend technologies (e.g., Java, Spring Framework).
• Deep understanding of RESTful API design, microservices architecture.
• Hands-on experience with containerization and orchestration tools like Docker.
• Solid knowledge of Agile methodologies, TDD, and CI/CD pipelines.
• Excellent leadership, communication, and problem-solving skills.
• Expertise in integrating Large Language Models (LLMs) and AI-powered tools into development workflows.

Nice-to-Have Skills:

• Experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of automated testing frameworks for both backend (e.g., JUnit, Postman) and frontend (e.g., Playwright).
• Understanding of DevOps practices and infrastructure-as-code tools like Terraform.
• Exposure to AI/ML frameworks and libraries for enhancing application features and team efficiency.

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

Key Responsibilities

● Lead the architecture, design, development, and delivery of scalable backend services

using Python.

● Own technical direction and architectural decisions for backend systems and services.

● Design and build robust RESTful APIs, microservices, and distributed systems

capable of handling high-scale workloads.

● Design and implement real-time communication systems, including WebSocket-based

services, where required.

● Drive system performance, scalability, reliability, availability, and security.

● Lead performance optimization, capacity planning, monitoring, debugging, and

production issue resolution.

● Establish and promote best practices around code quality, testing, observability, CI/CD,

and production readiness.

● Collaborate closely with frontend, product, DevOps, infrastructure, and other

cross-functional teams to deliver end-to-end solutions.

● Mentor and provide technical guidance to engineers, contributing to overall team growth

and engineering excellence.

● Review code and architecture designs, identify technical risks, and drive improvements

across backend systems.

● Take ownership of complex technical problems and deliver reliable, maintainable,

production-grade solutions.

Required Skills & Qualifications

● 5+ years of software engineering experience, with significant experience in backend

development.

● Strong expertise in Python and experience building production-grade backend

applications.

● Proven experience designing and developing REST APIs and microservices

architectures.

● Strong understanding of distributed systems, scalability, fault tolerance, and

high-availability architectures.

● Hands-on experience with WebSockets and real-time backend integrations.

● Strong experience with SQL/NoSQL databases, caching systems, and data-intensive

applications.

● Experience with performance optimization, monitoring, logging, debugging, and

production operations.

● Strong understanding of software engineering principles, design patterns, and clean

architecture.

● Proven ability to lead technical initiatives and make sound architectural decisions.

● Strong communication, collaboration, and technical leadership skills.

● Experience mentoring engineers and conducting effective code and design reviews.

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

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.

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.