DOTNET Developer

We are seeking an experienced, hands-on Backend Team Lead to architect and deliver robust, scalable systems while mentoring a team of developers. The ideal candidate will bridge strategic technical vision with practical execution, ensuring high-quality solutions aligned closely with business objectives and technology best practices.

Responsibilities:

●      Architect, design and deliver mission-critical modules end-to-end

●      Write production-grade code daily; lead reviews, debugging, refactoring

●      Embed TDD, CI/CD, design principles, and engineering best practices

●      Develop high-performance, scalable backend systems that power global products

●      Partner with Team Lead, PMs, QA, and product designers to define and execute features

Criteria:

●      6+ years of backend development experience; 2+ years in technical leadership

●      Experience in leading a team of atleast 3-4 engineers

Preferred Skills:

●      Extensive experience with Laravel, Node.js, Python, MySQL, MongoDB

●      Passionate about writing clean, testable, modular code using design patterns

●      Solid understanding and experience with cloud infrastructure, preferably AWS (ECS, Aurora, Lambda, S3, CloudFront etc), including scaling, and security best practices.

●      Demonstrated expertise in building and maintaining systems using a microservices architecture, with an emphasis on scalability, reliability, and maintainability.

●      Familiarity and practical experience with asynchronous communication between microservices using tools like Kafka etc, event-driven architectures, and messaging patterns at scale.

●      Proven capability in designing inter-service communication protocols to optimize system performance, resilience, and latency under heavy loads.

●      Startup exposure—comfortable with ambiguity, learning quickly, pivoting often

●      Excellent communicator, collaborator, and mentor

What we offer:

●      An exceptional team: Our hiring bar is high and your colleagues are talented, motivated self-starters.

●      A learning environment: We are a learning organization and as a team we will help you grow and encourage you to learn and upgrade your skills.

●      Outstanding compensation: top talent deserves top pay and our salary, equity and benefits reflect this.

●      Opportunities to grow: Encourages you to attend technical conferences and take company funded educational courses to advance your skills.

●      An opportunity to be a key member of a well-capitalized leading brand in online real estate investing platform.

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.

**Candidates from Dehradun or nearby locations are preferred**

Notice period: Immediate to 30 days

About the Job:-

The ideal candidate will be familiar with the full software design life cycle. They should have experience in designing, coding, testing and consistently managing applications They should be comfortable coding in a number of languages and have the ability to test code in order to maintain high-quality code.

➜ Responsibilities:-

1. Design, code, test and manage various applications

2. Collaborate with the engineering team and product team to establish the best products

3. Follow outlined standards of quality related to code and systems

4. Develop automated tests and conduct performance tuning

➜ Requirement:-

• Proficient ASP.NET/.NET CORE, Web API, MVC, Entity framework and MS SQL/MySQL is mandatory.

• Experience with HTML5/CSS3, JavaScript/jQuery, Angular; web-service: SOAP, RESFUL, MVC API

• Willing to learn new technologies

• Have good knowledge or experience with Agile/SCRUM development method

• Detail oriented, self-motivated and disciplined, with the ability to complete assigned tasks with minimal oversight in a professional and timely manner is a must

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:

Responsibilities:

• Lead design and development of products working closely with business team.
• Independently own software components and co-own entire applications with a small group of fellow developers.
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance.
• Build performant, scalable, yet secure, enterprise ready back end architectures that can support millions of users in parallel.
• Establish strong engineering best practices and champion their adoption.

Requirements:

• 4+ years' experience in software product development and delivery.
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities.
• All experience should be from good product development or e-commerce background.
• Able to take ownership of working with at least one of mobile or web app teams for complete integration with backend.
• Must have shown good stability in all your previous associations.
• Have strong backend knowledge and cloud development exposure.
• Proficiency in Java, Spring boot, Hibernate, REST API development.
• Worked with at least 1 RDBMS (Mysql preferred).
• NoSql is a plus.
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place.
• Writing high quality code which is made better by unit tests and integration tests is how you work.
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few.
• Knowledge of test driven development and AWS tech stack will be a good plus.

•  Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages
• Must have experience in technical data structures and should know algorithms
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support
• Work independently and should be able to take greater responsibility of projects

-          Experience of Core Java, REST-API and Micro-Services development,

-          Experience of Spring boot framework

-          Strong Object-oriented concepts, Design Patterns

-          Experience of SQL/NoSQL

-          Well versed with Cloud Development technologies and Microservices architecture.

-          CICD pipeline understanding, CICD tools such as Jenkin, Github etc.

-          Experience designing data flows e.g. streaming, batch processing, parallel  execution (Kafka, Kinesis, etc.)