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.

• 5+ years of experience
• FlaskAPI, RestAPI development experience
• Proficiency in Python programming.
• Basic knowledge of front-end development.
• Basic knowledge of Data manipulation and analysis libraries
• Code versioning and collaboration. (Git)
• Knowledge for Libraries for extracting data from websites.
• Knowledge of SQL and NoSQL databases
• Familiarity with RESTful APIs
• Familiarity with Cloud (Azure /AWS) technologies

Required Skills & Qualifications

• 4+ years of professional experience in backend development with Python.
• Strong hands-on experience with FastAPI (or Flask/Django with migration experience).
• Familiarity with asynchronous programming in Python.
• Working knowledge of version control systems (Git).
• Good problem-solving and debugging skills.
• Strong communication and collaboration abilities.
• should have a solid background in backend development, RESTful API design, and scalable application development.

Shift: Night Shift 6:30 pm to 3:30 AM IST

Requirements:

• Expert in Python, with good knowledge in Django technology.
• Able to integrate multiple data sources and databases into one system.
• Understanding of the threading limitations of Python, and multi-process architecture.
• Knowledge of user authentication and authorization between multiple systems, servers, and environments.
• Experience in Flask will be an add-on
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming in Python.
• Able to create database schemas that represent and support business processes.
• Proficient understanding of code versioning tools.
• Good communication skills.

Key Objectives/Responsibilities of this Role:

• Understand the UI needs, backend design and data design and create the backend code for the same
• Backend development in NodeJs 12 & above, ExpressJs, NestJs, RESTful web services, Docker, MongoDB, Azure AKS or Kubernetes
• Collaboration with other team members (Architect, UI, backend developers, DBA, Data analytics team) to work in coherence
• Working experience into Agile and scrum methodologies
• Manage SDEs and Interns to drive the deliverables

Mandatory Skillset & Tools: NodeJs 12 and above, ExpressJs, NestJs, Writing Unit Tests , Scheduler, Mongo DB, working knowledge in Kubernetes (AKS), GIT version control, Event driven design, Microservices, con-currency, RESTful web-services, Docker

Primary Skill: NodeJs 12 & above ExpressJs, NestJs, Microsoft development platform, Testing & Debugging skills, Postman, CI/CD pipeline, Docker, Docker hub, Writing UNIT tests

Secondary Skill: Load & performance testing, testing REST Web services, Basic shell commands, Linux, Good written, verbal and presentation skills, Soft spoken, Pro-active

• Manage and improve the engineering process continuously and make sure the team delivers the quality code with zero-waste.
• Should provide technical leadership to major projects, but also build and manage a team of 5-8 top-notch engineers.
• Should do sprint planning and run daily stand-ups and deliver 100% hit rate.
• Maintain the legacy code base and reduce tech debt on a continuous basis.
• Able to handle multiple projects and deliver with stringent timelines without compromising the code quality.
• Work with the product team for roadmap planning and delivery as per the plan.
• Conduct sprint planning & sizing, engineering grooming, daily stand-ups, and deliver with zero spillovers.
• Prepare & publish sprint reports to the leadership team and provide visibility to stakeholders.
• Hire and mentor junior/ senior team and make them engineering champions.
• Mentor the engineering team with your technical skills to write scalable, generic, reusable code.
• Develop and Coach engineers on the team, share engineering pointers, conduct regular 1-1s with the team, and help them advance in their careers.

Requirements

• Having work experience in a Product organization with 7 -10 yrs also in leading a cross-functional engineering team that includes API Development and Backend & Middleware development.
• Should have experience in the continuous delivery process. Ship new features and improvising the code base continuously.
• Should have involved in setting up engineering process.
• Must have experience in microservices and distributed patterns.
• Must have worked on high traffic and throughput application.
• Must have prior experience in handling mid to large-size projects.
• Must have worked on high traffic and throughput application.
• Should have managed and lead the engineering team of Web App and Backend development teams.
• Must-Have Experience in Python programming & Postgressql/ Nosql (MongoDB as a data store.
• Must have experience in modern back-end tech stacks (Django, Postgress, NoSQL) and cloud design & deployment patterns.
• Must be conversant with AWS, Docker/Kubernetes
• Should be good with design patterns and integration patterns.
• Should have knowledge/ experience in concurrent programming & distributed locks.
• Requires solid understanding of technologies and architecture in a highly scalable and available set-up.
• Should have handled multiple epics, themes, and experience of delivering high-quality projects on time.
• Should have managed end to end development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Overview

At Netradyne, we are revolutionizing the conventional mapping paradigm with our Dynamic mapping technology. Our unique approach leverages computer vision, Edge Computing, and crowd sourcing to deliver rich, highly accurate content in real-time, critical to the successful development of maps

What you will be doing ?

You will work in a fast-paced environment including multiple platforms, architectures, and technologies. You will be responsible for

• Development of various cloud/web components to ingest, process, transform and visualize data at scale.
• Contribute to algorithm development and automated evaluation for measuring quality.
• Follow engineering best practices (unit testing, continuous delivery etc.)
• Deployment and monitoring of production ready infrastructure

Skills

• Strong analytical and problem-solving skills.
• 3-7 years strong programming experience in Python/Java .
• Hands on knowledge in at least one MVC and ORM frameworks.
• Familiar with at least one frontend framework i.e. React/ Angular
• Working knowledge of at least one RDBMS or NoSQL database.
• Exposure to Geospatial databases and tools like Qgis,OSM will be a plus