C# and .NET Core 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.

Note: CTC not a constraint for the right candidate.

Looking for Backend Developers (Node.js)

Roles & Responsibilities

• This role will be based in our brand new Hyderabad office. Join us in India’s beautiful “City of Pearls” and bring your ambition to life.
• 
  
• You'll be set up for success if you have:
• Working knowledge of Typescript and JavaScript development
• Basic understanding of NodeJS development and its eco system
• Basic understanding of SQL (MySQL and/or Postgres) and NoSQL (Mongo DB / DynamoDB) databases
• Basic understanding of REST / SOAP API schematics
• Basic understanding of code versioning tools(GIT, SVN).
• Strong computer science and Engineering background
• Even better if you have:
• Good understanding of using container technologies like Docker for application packaging and running them on Cloud
• Good understanding in setting up CI/CD for application stack
• Working exposure in test driven development and its methodology like Code coverage etc
• Good understanding in using code quality tools to measure and improve on technical debt
• We bring ambition to life. We are innovators, game-changers and pioneers. So if you want to push boundaries and make an impact, this is the place to be.
• As part of our team you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop.
• If you're ambitious, inventive, brave and supportive, then you're the kind of person who's going to enjoy life at our organisation.
• We are committed to fostering an inclusive environment, both inside and outside of our walls, that values equality and diversity and where everyone can contribute at the highest level and have their voices heard. For us, this means hiring and developing talent across all races, ethnicities, religions, age groups, sexual orientations, gender identities and abilities.
• If you’d like to include a cover letter with your application, please feel free to. Please do not feel you need to apply with a photo or disclose any other information that is not related to your professional experience.
• Our aim is to make our hiring processes as accessible for everyone as possible, including providing adjustments for interviews where we can.
• We look forward to hearing from you.

• Experience in designing and developing applications using Node.js, RDBMS (preferably MySQL).
• Minimum 3 years of Node.Js, 3 years of Database experience required.
• Expertise in at least one of AWS, Google Compute platforms to build scalable solutions.
• Deep knowledge and experience in building complex cloud/enterprise-grade software in the area of IT infrastructure, virtualization, network, storage systems monitoring & manage mentor cloud solutions
• Expertise in writing async code (callbacks, promises, async/await, observables) and publish/ subscribe/ event.
• Experience in implementing and consuming SOAP and REST web APIs.
• Producing and maintaining automated testing, build, and deployment processes.
• Improve documentation of processes and systems
• Troubleshoot existing systems and applications
• Experience in data structure libraries (e.g., Immutable.js)
• Experience in RESTful APIs and knowledge of modern authorization mechanisms, such as JSON Web Token
• Understanding of data structures and problem-solving approaches, and ability to articulate trade-offs
• Strong fundamentals OOPS concepts, SOLID principles, Data Structures/Algorithms, Exception Handling, Coding Standards, Logging
• Passionate about writing clean, modular and unit testable code
• Possesses strong verbal and written communication skills.
• Experience with Agile development
• Good knowledge of Jenkins, SonarQube, Git.
• Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems rather than working around them.
• Collaborating with software engineers, QA engineers, UX and Design team and project managers

We are looking for a Staff Engineer who is an expert in Javascript (Node.js). We are looking for engineers who work like owners as you will be tasked with leading the development of one of our 5 major components of the Hatica platform. You will work with experienced engineers and on a modern cloud-native stack built using Javascript (React and Node) and Golang with an in-house real-time data analytics engine on Postgres and Elasticsearch among others.

Experience - 3 - 7 years
Responsibilities

• Build and maintain our backend microservices powering the core of our software platform
• Help your fellow DevOps and junior engineers working on our cloud infrastructure and other components of our product to ensure high code quality and robust architecture.
• Work with your team members to maintain high uptime and reliability of our core backend and APIs

Requirements and Qualifications

• BE/BTech in Computer Science or Engineering
• Minimum of 4 years of experience with backend development
• 3 years of experience with Node.js
• Familiarity with newer specifications of EcmaScript
• Understanding of GraphQL
• Ability to write and maintain high quality code
• Understanding of web coding patterns
• Solid understanding of microservices architecture
• Understanding of AWS and cloud-native technologies is highly preferred

Benefits

• Work with the best and brightest on a global cutting-edge SaaS product
• Performance oriented culture built on fairness and inclusivity
• Competitive Compensation
• Flexible work hours
• Fully remote team, work from anywhere

Job Type: Full-time

1. 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