Senior .Net 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.

Designation – Nodejs Developer

Experience – Min 3+ Yrs

Location: Ahmedabad ( WFO)

We are seeking a highly skilled Senior Node.js Developer with expertise in SQL and MongoDB to join our dynamic team.

As a key member of our development team, you will be responsible for managing the interchange of data between the server and users, as well as developing server-side logic. Your primary focus will be on the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. Additionally, your experience with both SQL and NoSQL databases will be crucial in defining and maintaining our data storage solutions.

Responsibilities:

 Develop and maintain server-side applications using Node.js.

 Design and implement RESTful APIs for seamless integration with front-end applications.

 Collaborate with front-end developers to integrate user-facing elements with server-side logic.

 Optimize applications for maximum speed and scalability.

 Implement security and data protection measures.

 Design and maintain database schemas for both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.

 Manage and mentor junior developers, providing technical guidance and support.

 Stay updated with emerging technologies and industry best practices.

Requirements:

 Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.

 Minimum 4 years of experience in Node.js development.

 Proficiency in JavaScript/TypeScript and frameworks such as Express.js.

 Strong understanding of asynchronous programming and event-driven architecture.

 Experience with SQL databases (e.g., MySQL, PostgreSQL) and proficiency in writing complex SQL queries.

 Experience with NoSQL databases (e.g., MongoDB) and familiarity with their query languages.

 Familiarity with ORM libraries (e.g., Sequelize, Mongoose) for database interaction.

 Knowledge of version control systems (e.g., Git).

 Understanding of CI/CD pipelines and deployment processes.

 Excellent communication and teamwork skills.

 Ability to lead and mentor a team of developers.

Requirements

• Design and implement a full-stack web application using Python Django framework and ReactJS.
• 1+ years of experience in building and deploying web applications.
• Experience in designing and using RESTful APIs.
• Basic knowledge in front-end technologies such as JavaScript, , ReactJS, HTML5, and CSS3.
• Understanding of fundamental design principles behind a scalable application.
• Understanding of databases, SQL and non-relational, plus the Django ORM.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Experience in web mark-up like HTML and CSS.
• Experience with data structure libraries.
• Familiarity with RESTful APIs.
• A knack for bench marking and optimization.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end build pipelines and tools.
• Experience with common front-end development tools such as NPM etc.
• Strong knowledge of Git version control.
• Experience deploying Python applications into production.
• Amazon Web Services (AWS) knowledge is a plus.
• 
  

Responsibilities

• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performance applications using Django framework in Python.
• Create and use the REST APIs for communicating with other apps.
• Assess and prioritize feature requests and work in Agile framework.
• Implementation of security and data protection algorithms.
• Integration of data storage solutions like databases, key-value stores, blob stores, S3 etc.
• Improve the functionality of existing systems and applications.
• High commitment to work and taking ownership of deliverables.
• Help to research and influence our path forward with strategic technology initiatives.

Responsibilities:

• Design and create services and system architecture for your projects, while working.
• Closely with the product, design and engineering team.
• Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products.
• Dive into difficult problems and successfully deliver results on schedule.
• Own services related to OkCredit features in active development.
• Develop and deploy required services responsible for evolution of the overall product.
• Do server side development in golang/python preferably (or any other language).
• Deploying stuff in production in docker containers.
• Write tests.
• Invent awesome stuff to make your job easier

• Motivation to design and build reliable, elegant backend services.
• At least 2 - 5 years of backend development experience.
• Proficiency in GoLang is MANDATORY.
• Familiarity with infrastructure concepts related to docker, kubernetes is preferred.
• Familiarity with Protocol buffers. Protocol buffers are now OkCredit's lingua franca for data.
• Familiarity with message-oriented middleware like rabbitmq, google pubsub.
• Familiarity with cloud platforms like gcp, aws etc.

       Dot Net Developer

1. Should have experience in.Net Core .
2. Should have knowledge in SQL – Intermediate
3. Should have worked on.Net WPF – Intermediate
4. Should have .Net Web Apis – Basic
5. Basic knowledge onAzure Dev Ops (Event Hub & ADF) 
6. .Net C# (for custom libraries) – Intermediate
7. System Platform - Basic 
8. Should have excellent communication skills both verbal and written.
9. Should be comfortable working in UK/US shifts.
10. Excellent interpersonal and customer service skills.
11. Excellent organizational skills and attention to detail.
12. Excellent time management skills with a proven ability to meet deadlines.

Experience : 2-5 Years

Job Location :Pune/Remote
Job Timings : 2:30pm-11:30pm