Technical Manager- .NET ( US- B1 Visa)

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.

-Designing, developing, and maintaining both the front-end and back-end of web applications.

-Integrating Payment Gateway, POS & Loyalty systems (such as Freedom Pay, Card Connect, Auth.net, Square, Oracle, Olo, NCR, Clover, Deliverer, etc. if applicable).

-Having experience with Svelte and Azure Cosmos DB is a plus.

-Using .NET Core/MVC, MSSQL, Angular 8+, and Web API.

-Designing, building, and maintaining efficient and reusable C# code using design patterns.

-Building and consuming J SON-based ASP.NET Web API services.

-Executing patches and proactive remediation for Legacy Applications, including designing, developing, and testing web applications with .NET, HTML, CSS, and other technologies.

-May lead the work of others and provide ideas to enhance software applications.

-Applying software design and development principles such as SOLID, Domain-Driven Design, and Object-Oriented Development.

-Familiarity with ORM frameworks, particularly the Entity Framework.

-Participating in architectural meetings and analyzing technical requirements for .NET applications.

-Managing source code with Git, including Git Flow Workflow.

-Implementing enterprise application patterns.

-Paying attention to details and having excellent organizational skills.

-Possessing excellent communication and teamwork skills.

Requirements:

1.3+ years of strong programming experience with .Net Framework and .Net Core based software applications. (.NET,.NET Core, C#, ASP.Net, JavaScript framworks, Web API, MS SQL Server, Cosmos DB, Docker, Azure Cloud)

2. Strong knowledge of Microservices based Architecture, Design Patterns and Principles.(Optional) / Hands on experience on React Js /Redux (Optional)

3. Prior experience in handling application with larger volumes of data .

4. 3+ years of experience of designing high-performance enterprise software application.

5. Works with application development team to solve technical challenges with industry best practices.

6. Addresses and resolves complex technical issues with internal/external customers.

7. Design software systems with various Microsoft technologies and ensure compliance to all architecture requirements.

8. Review infrastructure for any issues and recommend solutions.

9. Very important to be good communicator and updates management team with the weekly/monthly status.

10. Analyzes enterprise system performance. Develops and implements system performance improvements.

11. Participates in development activities including code reviews, as well as coding and testing of new enhancements.

Must Have Skills

• WPF Performance Suite

• .Net Framework

• C++

Good To Have Skills

• C# Studio

• C#. Net Logger

• MS SQL Server

• .Net Programming-C# .Net

Job Responsibilities

• Analyze, design, and implement new product features, live the principles of evolvable architecture and modern design patterns
• Foster high product quality through unit testing, code reviews, secure coding, automation, defects fixing, and performance tuning
• Contribute to development process and tooling efficiency and improvements
• Constantly assess and utilize new technologies and approaches
• Working in an Agile-oriented environment (Kanban, Scrum)
• Cooperate with smart colleagues inside/outside boundaries of the team

Job Requirements

• At least 5 years of  SW development experience, ideally engineering in Computer Science or equivalent degree.

• Object-oriented development experience
• ASP.NET web development experience
• Working experience with Microsoft .Net Core and Entity Framework
• Experience with Dapper Framework.
• Experience with Web APIs, and MVC
• Experience developing Unit Tests
• Experience with iterative development methodologies
• Knowledge of ASP.NET, C#, MVC, and JavaScript, XML, JQuery is essential
• Knowledge of Angular/ReactJs will be an added advantage
• Development activities will require to work with Microsoft .Net (C#), React, Azure DevOps, SQL Server, and IIS
• Good experience with MS SQL development is essential - DML/DDL operations, stored procedures, views, functions, triggers
• Highly developed, process-oriented skills for troubleshooting, problem solving, and problem resolution
• Proficient communication in English (both verbal and written) and strong customer focus.

Reporting to the Software Manager the successful candidate will be a key member of the software development team responsible for developing software using various technologies of the Microsoft stack. The software developer would be responsible for writing code to standards that is used in a varied key products of the company. Coordinating with the hardware engineers to ensure the software produces the desired results. Working in various projects involving various technologies with opportunity to improve and learn.

• Solid understanding of the development lifecycle focusing on the Microsoft stack.
• Create code that meets design specifications, follows standards, and is easy to maintain. When required, make suggestions for new designs.
• Work with various teams in the organization and deal directly with design engineers, to ensure appropriate project requirements are met.
• Good interpersonal and organizational skills.
• Ability to work in a cooperative team environment and having a flexible attitude.
• Keen interest in learning new skills.
• Great team participation skills and being pro-active in seeking help.

Desired Candidate Profile

REQUIRED SKILLS

• Bachelors Degree in Computer Science or related field
• 3+ years hands on development experience using the latest Microsoft technologies
• Solid understanding of .NET Framework
• Expertise in C#, .Net (up to .Net 6)
• Experience with writing Windows desktop applications using WPF and MVVM
• Ability to understand complex and large projects
• Ability to approach a problem with an open mind when finding a solution.
• Experience of working with an ORM preferably Entity Framework.
• Strong understanding of design patterns and SOLID principles
• Strong SQL Server (data storage and retrieval) skills with ability to write complex stored procedures.
• Source control (SVN or Git)

Nice to have:

• Prior experience developing in an n-tiered environment
• Prior experience in using an MVVM framework like Prism
• Understanding of Scrum and Agile software development methodology.
• Understanding of PLC programming
• Experience of Linux and C/C++ (Embedded Systems) would be an advantage
• Experience of MS Visual Basic would be an advantage