.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.

.Net Lead(2+ lead exp must) - Exp : 8+

.Net Developer - Exp : 6+

Skills : .Net Core, C#, SQL and Angular.

Np : Immediate Joiners

Location – Bangalore.

Responsibilities

• Determines technical feasibility of medium to low complexity features or solutions by evaluating problem, customer requirements, possible solutions and technology requirements.

• Exercises judgment in prioritizing tasks and selecting methods and techniques for obtaining solutions.

• Create a low-level design of modules of a software application through proper documentation and diagrams.

• Develops software solutions by studying requirements, clarifying customer/user needs, analyzing data and processes, and following established software development practices and processes.

• Develops proof of concepts for technical evaluation and early customer feedback.

• Updates and shares knowledge by studying state-of-the-art development tools, programming techniques, and computing technology; reading professional publications.

• Networks with internal and external personnel in their area of expertise.

Requirements

• B.Tech/B.S. or M.Tech/M.S. in Computer Science, IT or related field.

• 3-5 years of experience

Visit us on :

Mandatory Skills

• Should be proficient in the following areas of .NET (.NET 4.5 or above, .NET Core)

• Expert in C# and ASP.NET

• Knowledge of JavaScript/TypeScript is a plus

• Development of Windows and Web services

• Parallel and Asynchronous programming

• Unit testing, Linq, ORM

• Debugging/troubleshooting in .Net

• Should be proficient in SQL Server 2012 and above in the following areas

• T-SQL Stored Procedures

• Transaction in SQL

• Should have the following design skills

• Expert in OOPs

• Proficiency in Design Patterns

• Proficiency in Unit testing Patterns

• Understanding of Algorithms and Data structures.

• Experience on Requirement/Design/Code Review & Inspections

• Excellent problem-solving and analytical skills.

Desirable Skills

• Hands-on experience with using Git (handling branching and merging), any DevOps pipeline

• Experience with Agile methodologies

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation

Requirements:

• Should have work experience in design, development, Code, and Unit Test web and desktop-based applications written in. Net framework starting from 4 x and above.
• Should have a good understanding of web servers such as IIS and Front-end such as HTML's and Razor based engines.
• Strong coding experience and thorough understanding of programming languages such as C#, VB. NET, ASP. Net, ADO. Net, jQuery, JavaScript, Traditional Web Services, WPF, Web API, and other Scripting languages such as pythons.
• Must have exp. into WPF and C#

C# Developer @ Pune

Primary Skills : C#.Net, Microservices or JavaScript Framework

Requiements:
Required Knowledge/Skills, Education, and Experience
· Bachelor’s degree in Computer Science
· 3+ years professional experience in software development building production software systems
· Solid Computer Science fundamentals in object-oriented design, data structures, algorithms, and problem solving
· Proficiency in a modern programming language, preferably in C#
· Knowledge of Web based technologies or JavaScript frameworks
· Ability to work well with a team in a fast paced, dynamic, agile development environment
· Excellent written and verbal communication skills
Preferred Knowledge/Skills, Education, and Experience
· Knowledge of professional software engineering best practices
· Knowledge of Cloud Platforms (AWS, Azure, Google)
· Strong time management skills and the ability to be self-directed
· Experience with service-oriented architecture and web application/services development
· Experience with Object Oriented modern JavaScript Frameworks (Angular JS, Ember JS, Dojo, etc.)
· Experience with UI/UX design for complex workflows and/or for technical end users / domain experts
· Experience building complex, scalable, high-performance software systems that have been successfully delivered to customers
· Active on Github or StackOverflow
· Comfortable with the Linux command line and Git
· Sharp analytical abilities and proven design skills
· Experience with distributed computing and enterprise-wide systems
· Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy
· Experience leading and mentoring junior software engineers, and make them more effective, product software engineers
· Understanding of microservice development and best practices
Job Description:
Responsibilities
The person in this role will be developing software in the Innovation and Research team. The software development activity could be prototype code, researching an emerging technology, developing applications and microservices, testing harnesses, DevOps pipeline steps, and cloud development technology. The person in this role will be on an Agile Scrum team, and will participate a daily scrum meeting, updating story tasks, and providing daily updates to the team.
Additional responsibilities include:
· Documenting design, testing, or story details for a proposed implementation of a software feature or service
· Reporting out research findings to the broader team or organization
· Implementing software ideas
· Writing stories for software implementations
· Writing test code for validating software implementations
· Developing DevOps pipeline steps and/or DevOps tooling
· Agile Scrum activities (daily scrum, updating stories and tasks, sprint reviews)
· Research into a new software technology

Mandatory Requirement/ Preference:

- 4 years of experience for delivering enterprise solutions or products using full SDLC 

- 4 years of work experience with enterprise solutions for Microsoft platform (SQL Server, stored procedures, WCF, C#.net, Entity Framework) 

- Extensive knowledge and experience with creating and maintaining stored procedure in MS SQL Server.

- Working with WEB API added advantage