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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.
Your responsibilities as an Engineer:
• Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
• Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Prepares and installs solutions by determining and designing system specifications, standards, and programming.
• Improves operations by conducting systems analysis; recommending changes in policies and procedures.
• Obtains and licenses software by obtaining required information from vendors; recommending purchases; testing and approving products.
• Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment
• Participate in educational opportunities & read professional publications;
• Protects operations by keeping information confidential.
• Provides information by collecting, analyzing, and summarizing development and service issues.
• Accomplishes engineering and organization mission by completing related results as needed.
• Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle.
Skill sets we require:
• Proven work experience as a Software Engineer or Software Developer
• Experience designing interactive applications
• Ability to develop software in or other programming languages like JIRA or Postman
• Excellent knowledge of relational databases, MYSQL and Restful API
• Experience developing web applications using at least one popular web framework (Laravlel, Codeigniter and Magento)
• Experience with test-driven development
• Proficiency in software engineering tools
• Ability to document requirements and specifications
Educational Qualification:
• Bachelor’s/Master’s degree in Computer Science Engineering or equivalent
Responsibilities:
- Setup and integrate various APIs
- Dealing with scripts written in different languages (PHP, Node.js, Python, PhantomJS, Ruby)
- Must be an R & D specialist
- Keep up-to-date with advanced concepts
- Adaptable to learn new technologies
- Knowledge on Linux and its commands
- Fast in debugging the code
- Should be a quick learner
- Good at communication
Requirements
- Minimum 3 Years of experience in PHP7
- 1 Year experience in Node.js/Python
- Good work experience in PHP7
- Strong knowledge in OOPS.
- Proven knowledge on REST and SOAP API integrations
- Experience in composer installations
- Strong in Javascript and Node.js concepts.
- Good knowledge of MongoDB and MySql
- Knowledge of versioning tools (SVN/GIT)
- Having knowledge on Amazon AWS and Google Cloud Platform is an added advantage
- Having knowledge of elastic search is an added advantage
- Good to have knowledge on p threads
Job Description
We are looking for a ROR developer. If you're a creative problem solver who is eager to develop amazing products and hungry for a new adventure, a word class workplace is waiting for you.
- Production experience in Ruby.
- A completed technical degree in Computer Science or any related fields.
- 3+ years of professional product development experience.
- Being comfortable with microservices architectures, API-based
- You are a pragmatic programmer who understands what is needed to get things done.
- Problem solving and collaborative mindset.
- Experience working with DevOps (Docker, Kubernetes, Terraform).
- Experience with AWS (RDS, DDB, Lambda, CW, EC2, SQS, SNS, Cognito, Kinesis).
- Experience with performance improvements (Caching Techniques, SQL Query Optimization, Performance monitoring and profiling.
- Deep understanding of service-oriented and microservices architectural patterns, troubleshooting methods and best practices.
- Takes end to end ownership of the development and operation of complete features.
- Full Stack developer (.Net): (experience 3 to 6 years)
- Experience in designing multithreaded/concurrent/distributed systems.
- Experience in .Net framework and C# programming is required (3+ years).
- Experience in working on scalable non-blocking server side frameworks like Spring stack(2+ years)
- Experience with both SQL and NoSQL databases, Message brokers. ex: Postgres/MySQL, MongoDB/DynamoDB/Redis/Neo4j, Kafka (2 +years)
- Experience in Front end language and frameworks. JavaScript, must be an expert in one of the front end frameworks (ex: React) (2+)
- Understand cloud technologies and should have deployed applications or products in popular cloud platforms like AWS, GCP, MS Azure, etc (2+ years).
Optional:
- Experience with BigData is a big plus
- Knowledge of functional programming principles is a plus.
- Experience in HTML5 and CSS3
Responsibilities
- Designing and implementing new features and functionality
- Establishing and guiding the website’s architecture
- Ensuring high-performance and availability, and managing all technical aspects of the CMS
- Helping formulate an effective, responsive design and turning it into a working theme and plugin.
Skills and Qualifications
- Good understanding of front-end technologies, including HTML5, CSS3, JavaScript, jQuery
- Experience building user interfaces for websites and/or web applications
- Experience designing and developing responsive design websites
- Comfortable working with debugging tools like Firebug, Chrome inspector, etc.
- Ability to understand CSS changes and their ramifications to ensure consistent style across platforms and browsers
- Ability to convert comprehensive layout and wireframes into working HTML pages
- Knowledge of how to interact with RESTful APIs and formats (JSON, XML)
- Strong understanding of PHP back-end development
We are looking for 2+ Year experienced Back-end developer to join our Team.
You will be responsible for the development and management of server side of our web applications in terms of quality and scalability.
You should be passionate about writing optimised codes, and solving problems in real time, Data Structure and Algorithm.
Responsibilities :
- Write clean code to develop functional web applications
- Should be adaptable to good practices and standards
- Capable to write scalable codes.
- Gather and address technical and design requirements
- Build reusable code and libraries for future use
- Follow emerging technologies
Required Candidate profile
Requirements :
- Hands on experience on Node Js, Typescript, Mongodb, Elastic Search, Kafka, RESTfull Apis, Python(Django), Angular, Flutter / Dart
- Excellent analytical and time management skills
- Teamwork skills with a problem-solving attitude
- Understanding of deployment process with AWS/Digital Ocean/Microsoft Azure
- Good Understanding of System Design.
- Should be aware of design patterns
- Understanding of TDD
- Unit Test Frameworks - Chai, Mocha, Sinon, Supertest, Knock
What we are looking for
- We are looking for a candidate with around 2 years of experience in Backend Development. We are looking for a team player with a very good attitude.








