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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.
What you'll do:
· Perform complex application programming activities with an emphasis on mobile development: Node.js, TypeScript, JavaScript, RESTful APIs and related backend frameworks
· Assist in the definition of system architecture and detailed solution design that are scalable and extensible
· Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible
· Own the quality of code and do your own testing. Write unit test and improve test coverage.
· Deliver amazing solutions to production that knock everyone’s socks off
· Mentor junior developers on the team
What we’re looking for:
· Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around.
· A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time.
· A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts.
· Confidence, not ego. You have an ability to collaborate with others and see all sides of the coin to come to the best solution for everyone.
· Flexible and willing to accept change in priorities, as necessary
· Demonstrable passion for technology (e.g., personal projects, open-source involvement)
· Enthusiastic embrace of DevOps culture and collaborative software engineering
· Ability and desire to work in a dynamic, fast paced, and agile team environment
· Enthusiasm for cloud computing platforms such as AWS or Azure
Basic Qualifications:
· Minimum B.S. / M.S. Computer Science or related discipline from accredited college or University
· At least 4 years of experience designing, developing, and delivering backend applications with Node.js, TypeScript
· At least 2 years of experience building internet facing services
· At least 2 years of experience with AWS and/or OpenShift
· Exposure to some of the following concepts: object-oriented programming, software engineering techniques, quality engineering, parallel programming, databases, etc.
· Experience integrating APIs with front-end and/or mobile-specific frameworks
· Proficiency in building and consuming RESTful APIs
· Ability to manage multiple tasks and consistently meet established timelines
· Strong collaboration skills
· Excellent written and verbal communications skills
Preferred Qualifications:
· Experience with Apache Cordova framework
- Demonstrable knowledge of native coding background in iOS, Android
· Experience developing and deploying applications within Kubernetes based containers
Experience in Agile and SCRUM development techniques
- Full-stack developer good at react.js and node.js.
- Should be good at algorithms
- Working experience in AWS is a plus
Shortcastle is a sportstech company with presence in over 65+ countries. Flexible and fun-filled team
Candidates MUST HAVE :
● Deep expertise with JavaScript. Extensive hands-on experience building microservices using NodeJs.
● Substantial experience in building complex and scalable solutions.
● Strong computer science fundamentals: data structures, algorithms, design patterns
● Strong experience and understanding of various APIS / Web Services and SQL/NoSQL databases
● Architected non-trivial solutions for a company at a scale
● Proficient in unit testing, writing mocks, automated functional tests, and end-end tests
● Experience with a variety of languages, stacks, and programming paradigms
● Capability to contribute across the web and mobile stacks
● Strong desire to drive change, and ability to adapt to change quickly
● The ability to independently lead problem-solving and build elegant, maintainable solutions to complex problems.
Good to Have
● Experience in building projects with TypeScript, ExpressJs, NextJS, ReactJs, Flutte,r etc.
● Experience with gRPC or GraphQL API implementations.
● Experience in any other programming languages such as Python/Go/Scala
● Experience with Kubernetes, Docker and
● Understanding the nature of asynchronous programming and its quirks and workarounds
● Good hand-on with data streaming technologies like Kafka
● Experience with cloud APIs (e.g., GCP, AWS, Azure)
● Understanding on information security and data privacy
● Experience in open-source development and contribution to open-source technology
Roles and Responsibilities :
● Write clean, reliable, reusable, scalable, testable and maintainable code.
● Produce best in class documentation, testing and monitoring
● Estimate effort, identify risks
● Mentor/coach other engineers in the team to facilitate their development and to provide technical leadership to them.
● Rise above details as and when needed to spot broader issues/trends and implications for the product/team as a whole
● Practice and promote craftsmanship in software engineering (coding, testing, code reviews, documentation, scalability, performance, etc.)
● Break down requirements, estimate tasks, and assist in planning roadmap accurately
● Develop iterative solutions to address expansive product goals
● Platformism components as libraries, utilities and promote reuse
● Be able to conceptualize and develop prototypes quickly
● Own large technical deliverables and execute in a structured manner.
● Take accountability for the overall health of the products you build and ensure predictability of the deliverables of your team 1
● Drive technical roadmap of the team in collaboration with Product and Business Teams.
We are looking for a resource with 2-4 years of experience in Full stack with Python and Vue.js with ML/AI skills. As a developer, you’ll gain valuable management experience delegating responsibilities to the rest of your team and reviewing the work of junior developers.
Requirement:
- Bachelor’s Degree in Computer Science (good to have).
- 2+ years’ experience in web and software development
- Ability to work independently and multi-task effectively
- Demonstrated understanding of projects from the perspective of both client and business(preferably from cybersecurity domain).
Technical Skills required:
- Node Js,
- Vue.JS
- ML/AI
- Python
- Agile Development
Roles & Responsibilities:
- Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle.
- 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 and recommending changes in policies and procedures.
- Meeting deadlines.
- Accomplishes engineering and organization mission by completing related results as needed.
- Troubleshoot, debug and upgrade existing software
Job Type: Full-time
Salary: OPEN
Benefits:
- Flexible schedule
- Paid sick time
This is a fast filling role.
We are looking for a passionate full-stack developer to be responsible for all platform-related duties, from developing designs for complicated applications to analyzing code. The key responsibilities include writing and testing code, debugging programs, and integrating applications with third-party web services, optimizing applications, ensuring UI/UX feasibility, and implementing API designs and architecture.
You should know python and use server-side logic. Ultimately, you'll build highly responsive web applications that align with our business needs.
Selected day-to-day responsibilities include:
- Writing effective, scalable, and sustainable code
- Developing back-end components to improve responsiveness and overall performance
- Integrating user-facing elements into applications
- Testing and debugging programs
- Improving the functionality of existing systems
- Implementing security and data protection solutions
- Assessing and prioritizing feature requests
- Ensuring the feasibility of UI/UX designs
- Coordinating with internal teams to understand user requirements and provide technical solutions
We are looking for a Senior Python Developer to produce large scale distributed software solutions. You’ll be part of a cross-functional team that’s responsible for the complete software development life cycle, from conception to deployment.
If you’re also familiar with Agile methodologies, we’d like to meet you.
Responsibilities:
Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Write technical documentation
Requirements
Proven experience as a Python Developer or similar role Knowledge on Python, Django, MongoDB, Elasticsearch, AWS Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind Experience on Apache Kafka, Hbase and Graph DB is an added bonus
Strong coding skills using Python, Django, Html, Css , React Js, Jquery , Bootstrap or equivalent programming language)
Excellent knowledge of Data Structures and Algorithms
Bachelor or Master degree in Computer Science or a related discipline
Experience working in an agile environment
Self-quick learner and passionate problem solver
Excellent debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve customer problems
Good oral and written communication skills
Above all, an insatiable desire and ability to learn
Responsibilities:
- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing customer-facing UI and back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
Requirements:
- Bachelor's degree in computer science, information science, or similar.
- At least two years' experience as a Node.js developer.
- Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
- Knowledge of front-end technologies such as HTML5 and CSS3.
- Superb interpersonal, communication, and collaboration skills.
- Exceptional analytical and problem-solving aptitude.
- Great organizational and time management skills.







