Dotnet 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.

JOB DESCRIPTION:

Location: Pune, Mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Job Description – Senior Java Developer (Spring Boot / Microservices)

Location: Chennai, India

Experience: 4+ Years

Availability: Immediate Joiner

About the Role:

We are looking for a highly skilled Java Developer with over 5 years of hands-on experience in building scalable backend systems using Java, Spring Boot, and Microservices architecture. The ideal candidate will have strong problem-solving skills, deep knowledge of backend frameworks, and a solid understanding of JUnit-based testing.

Key Responsibilities:

• Design, develop, and maintain high-performance backend systems using Java and Spring Boot
• Develop and deploy RESTful microservices in a distributed architecture
• Collaborate with cross-functional teams to define, design, and ship new features
• Write clean, scalable, and testable code following best practices
• Implement unit and integration tests using JUnit and other testing frameworks
• Participate in code reviews and contribute to improving team processes
• Troubleshoot and resolve production issues in a timely manner

Key Skills:

• Strong proficiency in Java
• Expertise in Spring Boot and related modules (Spring Data, Spring Security, etc.)
• Solid understanding of Microservices architecture, REST APIs, and inter-service communication
• Experience with JUnit and writing automated test cases
• Familiarity with CI/CD pipelines and version control (Git)
• Knowledge of containerization (Docker, Kubernetes) is a plus
• Exposure to messaging systems like Kafka or RabbitMQ is a plus
• Familiarity with databases (SQL/NoSQL)

Responsibilities

• Develop, deploy, and maintain scalable products
• Participate in code reviews, and design discussions to ensure code quality and distribute knowledge
• Pair with team members for functional and non-functional requirements to write well-crafted, well-tested, readable, and maintainable code.
• Help to define roadmap and architecture based on technology and business needs
• Understand business requirements and work closely with the business to provide solutions

Eligibility

• Strong expertise in Backend Python Development with skills to create APIs, integrate the functions into UI, and store and retrieve data from a variety of databases.
• Strong experience with Django/Flask.
• Strong experience in writing unit tests.
• B.Tech/B.E (Preferred CSE)

Intro

EAGLE Power Holdings aims to launch a portfolio of new energy retail brands, all of which enjoy the efficiency of a single technology platform. We want to do more than offer cheap "green" tariffs, and believe that our range of engaging brands can identify with shifts in consumer preferences (e.g. growth of EV usage), with the value of local communities, and with proactive support of broader ESG causes.

Our long-term strategy is technology-driven, and involves unlocking value through the digitalisation of processes around customer acquisition, engagement, and retention. Developers at EAGLE flourish in an agile process where collaboration and ego-free communication is valued. We believe in developing working software throughout the entire product development process. We engage in product thinking as a team and cross-functionality among product managers, designers, and domain experts is promoted.

How you fit in

Engineering is the executional function of EAGLE's software delivery wing. As a senior server-side developer at Eagle, you will drive complex projects being built from scratch, and lead the junior members of the team. Not only are you expected to write clean, tested, and maintainable code, you will also be a central part of a product team that iterates constantly, ships regularly, and learns continuously. You will have the creative freedom for learning, experimenting, and responsible risk-taking in a startup environment.

What your role consists of:

• Collaborate with engineers, UI/UX designers, and product owners to build & ship new features and maintain/enhance existing ones
• Design & develop software solutions while ensuring the solution is scalable and can handle large data, complex analytics, and multi-tenancy
• Implement best practices of test-driven development, automated deployment, refactoring and code standards
• Tackle complex problems, consider multiple solutions, and determine the best course of action
• Debug production issues across services and multiple levels of the stack
• Help inform product prioritisation and scoping decisions by evaluating technical complexity and risk
• Work on internal tooling to improve the development experience of other engineers and ship faster and safer
• Provide junior engineers with feedback regarding application engineering methodologies, standards, and leading practices when appropriate

What you bring to this role:

• 4+ years of significant experience building scalable web applications in a distributed, collaborative, agile environment while delivering solutions on a regular cadence
• An ownership mindset: you should look not only at what you’re asked to do, but ask why you’re doing it and how it impacts on the rest of the product, our customers, and whether it makes sense
• Extensive experience with distributed service architecture
• Extensive experience with modern NoSQL technologies
• Extensive experience in cloud automation & test-driven development
• Excellent communication skills and ability to give and receive constructive feedback
• Ability to to mentor or coach less experienced engineers
• Passion for the whole product process. You will have your specific areas of focus, but we find those that are passionate about the bigger picture collaborate best with cross-functional teams

Nice to haves:

• Experience with Golang
• Experience with Serverless infrastructure
• Experience with multi-tenant system designing 
• Experience with building & integrating CI/CD pipelines

Where we are

While the company is registered in the UK, the software delivery wing is built to be remote-first. Whether you prefer to be in situ or a digital nomad (or anything in between), you are welcome. We are not inclined to support relocation to London for candidates that are not already based there, as we are a remote-first company. 

What’s in it for you

We offer competitive salaries based on prevailing rates in your local employment market, but there is further room to negotiate if you are the right candidate. In addition to your basic package, you can expect to receive the following benefits:

• Flexible working hours
• Unlimited annual leave
• On-the-job coaching, and access to mentorship by industry and domain thought leaders
• Full or partial sponsorship for professional/skill development courses, certifications, and other learning opportunities (evaluated on a case-by-case basis)
• Monthly allowance package for remote working (coworking membership or cash allowance)

About EAGLE Power Holdings

In a nutshell: Transforming energy retail and supply through cutting-edge software and AI technology

The venture is in ‘stealth mode’ as we lay the foundations for blast-off. It has been launched by a team with a history of entrepreneurial successes. These include one in the climate change space which services the Californian and North America carbon markets, and another which provides highly refined machine learning software to the energy arena in Asia. Both companies were acquired last year. 

This start-up was launched in London at the end of 2020, and will focus on the deregulated energy market in GB. The mission is to discover, or invent, a viable business and operational model for energy retail within the near-zero-cost energy ecosystem that the world is moving towards. This transformation is driven by the ever-decreasing prices of renewables/alternative generation, and by the exponentially growing volumes of national energy system data. We believe these factors have yet to truly disrupt the market, and intend to accelerate the sharing of value back to consumers.