Senior Backend Developer

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Role - Node.js Developer

Experience - 3-8 Yrs

Location - Bangalore (WFO)

About the Role

We are looking for an experienced Senior Node.js Developer to build highly scalable, resilient, and production-ready backend systems. In this role, you will lead backend development, collaborate with cross-functional teams, mentor engineers, and drive engineering excellence throughout the software development lifecycle.

If you are passionate about designing cloud-native applications, writing clean and maintainable code, and building robust distributed systems, we'd love to hear from you.

Key Responsibilities

• Partner with Product Owners, Project Managers, and Scrum Masters to understand business requirements and translate them into scalable technical solutions.
• Design, develop, and maintain high-performance backend applications using Node.js and TypeScript.
• Build and maintain RESTful APIs and microservices for large-scale production systems.
• Develop and maintain batch processing and scheduled jobs using Python and Shell scripting.
• Lead backend architecture discussions and provide technical guidance to the engineering team.
• Conduct code reviews, enforce coding standards, and mentor junior developers.
• Own the complete software development lifecycle, including design, development, testing, deployment, monitoring, and production support.
• Collaborate with DevOps teams to improve CI/CD pipelines and deployment processes.
• Design and deploy cloud-native applications using AWS or GCP.
• Implement containerized applications using Docker and Kubernetes.
• Ensure application security, performance, scalability, and reliability by following engineering best practices.
• Participate actively in Agile/Scrum ceremonies including sprint planning, backlog grooming, stand-ups, retrospectives, and release planning.

Required Skills & Experience

• 3+ years of hands-on experience in backend software development.
• 3+ years of experience developing RESTful APIs using Node.js.
• Strong proficiency in TypeScript, JavaScript, JSON, and REST API design.
• Experience developing batch processing solutions using Python and Shell scripting.
• Strong knowledge of relational and NoSQL databases such as MySQL, MongoDB, and Redis.
• Experience with distributed systems and microservices architecture.
• Hands-on experience with Git and collaborative branching strategies.
• Experience building and deploying applications on AWS or Google Cloud Platform (GCP).
• Good working knowledge of Docker, Kubernetes, and container orchestration.
• Familiarity with CI/CD pipelines and DevOps practices.
• Strong understanding of software design principles, security best practices, and scalable architecture.
• Experience leading technical discussions, performing code reviews, and mentoring engineering teams.
• Experience working in Agile/Scrum environments.

Preferred Qualifications

• Experience building highly available and fault-tolerant backend systems.
• Knowledge of performance optimization and application monitoring.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Why Join Us?

• Work on modern cloud-native technologies and scalable distributed systems.
• Collaborate with talented engineers in a high-impact environment.
• Opportunity to influence architecture and technical direction.
• Continuous learning, ownership, and career growth in a collaborative engineering culture.

A SaaS startup founded in April 2020.

What’s the opportunity?

Are you a backend developer looking to fast-track your learning and growth? Have you looked at world-class products like Asana, Notion, or Airtable, and felt “I wish I were part of the early team that built these products”?

We’re a team that has previously built and rolled out globally successful SaaS products used by tens of thousands of customers.

We’re laser-focused on delivering a world-class product again, and looking for an ambitious backend engineer to join our existing team of 9 engineers.

If it excites you to think of a fast-paced start-up environment, building something big from scratch, breaking down new problems, creating new APIs, working on performance issues, getting hands-on with DevOps initiatives, and showcasing demos of your work every Friday with a happy and passionate team, then this is the right opportunity for you.

Some of the tech problems you get to work on as a backend engineer would be to build the backend for a modern spreadsheet experience from scratch, work on infra as code, write robust code that is fault-tolerant, work on performant code that adheres to SLOs set by the organization. 

About you:

● 3- 5 years of experience

● Expertise in the following areas ○ Java ○ HTTP Protocol

● You’ve heard of or worked with some of the following tech stacks/products

○ Spring

○ PostgreSQL

○ Redis ○ Docker

○ Message brokers

○ GitHub

● These non-functional areas are familiar to you

○ Performance

○ Debugging

○ Log management

Nice to have:

● Familiarity with AWS 

What’s in it for you?

● Great opportunity: We genuinely care about everyone we hire. You’ll learn new things and grow no matter how experienced you are; you will be working with founders who have more than three decades of collective experience in building significant B2B SaaS startups.

● Great team: Work with a world-class, high-velocity team that truly embodies the values of empathy, curiosity, and customer-centricity. Check out the MTT(Meet The Team) videos on our LinkedIn.

● Great culture: An open, fun, and exciting startup culture that empowers its people to champion big problems with the freedom to think and innovate.

● Growth: You could easily and quickly transition into other roles you might like.

● Impact: You get to be part of a global, passionate team in a fast-paced and growth-oriented environment. The team has a work philosophy of being high on ambition, ownership, and a bias for action.

● Monetary rewards and benefits: Competitive stipend, flexible leave policy, and more

Hands-on working knowledge and experience is required in:

a. JavaScript, Typescript, NodeJS (Express, NestJs, etc. )

b. Experience working in GCP or AWS or Azure

c. Experience working in Containers & Unix Platforms

d. Relational Databases (PostgreSQL, MySQL, SQL, etc. )

e. Agile Methodologies (Scrum, TDD, BDD, etc. )

f. Understanding of Microservices Architecture, Domain Driver Design, Test Driven Development and Secure Design patterns and architecture is a must

g. Data Structures and Algorithms using Javascript, Typescript and/or other Programing Languages

h. Strong organizational skills i. Agile Methodologies (Scrum, TDD, BDD, etc. )

Experience with several of the following tools/technologies is desirable:

a. GIT (Bit Bucket, Gitlab, etc. ), Jira, Gradle, Maven, Jenkins, SharePoint, Eclipse/IntelliJ.

b. Design Patterns and implementing the Design Patterns

c. Development of Complex Application and System Architectures

d. NoSQL Databases (Redis, Mongo, etc. ) e. Full stack development

f. Experience working with CI/CD pipelines with for example GitHub Actions.

Knowledge of the following technologies is a plus:

a. Other Programming Languages (Java, Python, etc. )

b. Continuous Integration and Continuous Delivery Tools like Jenkins, Git, etc

Need Immediate Joiners only (4-5 days)

Overall experience 6+ years and relevant at least 2+ years in Golang with Java

● Strong design and architectural experience in building various highly-scalable and

highly-available products

● Strong understanding of the SDLC Activities which include Analysis, Design, Development,

Testing, Deployment and Post-Production Support etc.

● Proficiency in at least one server side framework for languages preferably Go Lang

● Experience working on NoSQL & SQL Databases such as MySQL, PostgreSQL, MongoDB,

Redis etc

● Deep Dive, problem-solving, RCA and systematic thinking to reach the cause of issues

● Able to work independently and multi-task effectively

● Program at a system level and able to manage service stability

● Excellent experience maintaining, scalable, extensible code

● Methodical in maintaining up to date documentation

● Metric-driven mindset and obsessive about ensuring clean coding practices

● Preferred experience in product development

● Preferred working experience on microservices platforms

● Proficiency in at least one modern web front-end development framework such as React JS

will be a bonus

Good to Have Skills:

● Preferred experience in Elasticsearch and Kibana (ELK Stack)

● Preferred experience with messaging systems like RabbitMQ