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

We are looking for an Engineering Manager to lead a team building scalable, high-quality products.

Responsibilities

• Lead, mentor and grow a team of engineers
• Own delivery, quality and technical decisions
• Work with product on roadmap and priorities
• Hire and onboard engineers

Requirements

• 7+ years in software engineering
• 2+ years managing engineering teams
• Strong system design skills

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

• 4+ years of backend engineering experience.

• At least 2 years of experience leading or managing an engineering team.

• Strong hands-on backend development experience with modern backend technologies and frameworks.

• Practical experience with cloud infrastructure, DevOps, CI/CD, containers, 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.

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.

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.

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 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.

Technical Project Manager.

Run delivery for 15–25 backend, frontend, and AI engineers building construction

tech and CAD drawing-automation software — with structural engineers on one

side of you and the codebase on the other.

FULL-TIME

MANAGER · 7+ YRS

Engineering — Delivery & Program Management

TEAM YOU’LL RUN

15–25 engineers · Backend · Frontend · AI

LOCATION

India

EXPERIENCE

6–7 yrs min · 4+ yrs managing engineers

WORK MODE 

Hybrid

DOMAIN

ENGAGEMENT

AEC · CAD / BIM automation · Multi-tenant SaaS

About BuildTwin

BuildTwin is a multi-tenant SaaS platform that runs the day-to-day operations of construction

and infrastructure companies — their workforce, projects, commercials, and documents — on a

single system. Alongside it we build an AI drawing-automation platform that turns structured

element data into production-ready technical drawings and exports them to PDF and DXF.

Both products are built by a small, senior engineering group in India: backend engineers on an

AWS serverless platform, frontend engineers on Angular and React, and AI engineers working

on drawing generation and data extraction. Sitting next to them — not in another building, not

in another timezone — are the structural and detailing engineers who define what a correct

drawing actually is.

That adjacency is our biggest advantage and our hardest coordination problem. This role exists

to make it work.

 Role overview

We are hiring one Technical Project Manager to own delivery across our engineering teams in

Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and

you will be the person who turns requirements originating with our structural and detailing

engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards

across it. You will sit in the design discussion and have a view on how and when — you will

push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write

production code. You are expected to read it, understand the system, and never be the least

informed person in a technical conversation you are chairing.

The centre of gravity of this job is the floor, not the calendar. Most of your day is

spent with the people building and the people specifying — closing the gap between what a

domain expert means and what an engineer can implement deterministically. Status

reporting is a by-product of doing that well, not the job itself.

What you’ll own.

 Delivery ownership

Own the end-to-end delivery plan for every active workstream — scope, sequence,

dependencies, capacity, and dates that actually hold.

Break large, ambiguous product intent into engineering-sized increments with explicit

acceptance criteria, agreed with the people who will build them.

Run the operating cadence: planning, standups, refinement, demos, and retrospectives that

change something the following week.

Maintain one honest view of status — on track, at risk, slipped, and why — visible to the

founders and to the team at the same time.

Manage cross-team dependencies between backend, frontend, AI, and drawing-automation

workstreams so no team idles waiting on another.

Surface risk early, quantify it, and arrive with options — never an escalation without a

proposal.

Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not

now when a plan cannot take more.

Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post

release verification included.

Own and improve the delivery metrics that matter: cycle time, predictability of committed

scope, defect escape rate, and rework.

Run the release calendar across two products so neither becomes the permanent second

priority.

Technical partnership

Participate substantively in technical discussions on design, sequencing, and trade-offs —

and hold your own with senior engineers.

Understand the architecture well enough to reason about blast radius: what a schema

change touches, why a migration is risky, why an API contract must be agreed before two

teams start.

Challenge estimates that look wrong in either direction, and recognise when an estimate is

uncertain because the problem is still unclear.

Translate technical constraints into decisions leadership can act on, and business constraints

into direction engineers can act on.

Keep testing, observability, and debt-reduction work on the plan instead of losing to features

every single quarter.

Insist that decisions get written down — architecture choices, drawing rules, API contracts,

and the reasoning behind each.

Stay close to the artefacts: read the tickets, the design docs, the PR titles, and the incident

write-ups.

Chair technical discussions where the outcome is a decision with an owner and a date, not a

longer discussion.

Location : Mumbai

Big Picture (The Opportunity) :

Are you looking for an opportunity to advance your Career? & If you are able to maintain a positive attitude even when everything goes wrong, if you are detail oriented and self motivated with a passion to learn and improve your skills and knowledge, we have a perfect job for you !

What do we want from you ? (Our Expectations) :

• Zero to 2 years experience in Linux Operating System.
• Flexible working hours - able to support occasional nights, weekends, and call-ins, able to quickly adapt to a constantly changing faced paced environment. Open to travel to sites.
• An ideal person who is excited and motivated about running and supporting a production - grade critical infrastructure and looks for opportunities to improve processes with automation.

What are you required to do ? (Your Responsibilities) :

• Proactively maintain and develop all linux infrastructure technology to maintain a 24*7*365 uptime service.
• Engineering of systems administration-related various solutions for our various SAAS products and projects as well as operational needs.
• Proactively monitoring system performance and capacity planning.
• Providing technical support to customers for Applications, Operating systems, and networking.
• Will also be the first point of contact for our clients, where installations are placed on a permanent basis, for basic troubleshooting and problem solving.
• Fault finding, analysis and logging information for reporting of performance exceptions.
• Maintain best practices on managing systems and services across all environments.

Skills & Qualification Required (Add Value) :

• Graduate - Preferred to have Bachelor‘s Degree in Engineering, Computer Science or related field.
• He / She should be familiar with the installation and configuration of Linux operating systems and setup and operation of TCP/IP networking on Linux systems also familiar with Internet concepts including SMTP, IMAP, POP, HTTP, DNS, LDAP and related protocols.
• You should possess excellent communication skills .
• Knowledge of Email concepts, Helpdesk Concept , VoIP Concept , Cloud computing will be an added advantage.