.NET cloud

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.

Your Impact:

• Implements Digital Consumer experiences based on a foundation of SFCC (Salesforce commerce cloud) to meet expected quality standards

• Ensures functional requirements and high-level solution designs are understood and are translated into detailed technical design

• Implement proofs of concept to prove any new technologies, application flows or integration scenarios and identify customizations needed to SFCC platform for meeting client requirements

• Guides the performance tuning and scalability of the ecommerce solution

• Diagnose and solve technical problems during implementation and support phases

Your Skills & Experience:

•  4-8 Years with 2+ years of implementing commerce application on any eCommerce platform in last 3 years

• If you have not worked in eCommerce platform, we can still discuss with you if you are expert in Java/Net and understand REST/SOAP webservices.

• Demonstrate proficiency in build and release management using CI/CD strategies (leveraging tools like Jenkins and DevOps practices), implement Mocha/Chai unit and functional test cases in order to reduce costs while ensuring quality
. Contributes to designing, implementing and documenting the build release process as well as system configuration and deployment characteristics of the applications

• Participates in technical walkthroughs/ code reviews of other team members’ components, test plans and results and help them with gaps

• Collaborate with architect to define implementation processes and quality gates and standards

• Identifies risks and issues, and help monitor them

• Guides the development of reference and resource materials

• Mentors developers in improving their platform knowledge and development skills

• Communicate technical design to the developers and help/guide them in the implementation

• Participates in Agile sprints

Set Yourself Apart With:

• eCommerce platform certification

• Security considerations – OWASP, CSRF, reCAPTCHA etc. – Basic knowledge or experience

• Git Development workflow – Proficient

• Visual Studio Code IDE or Eclipse IDE - Proficient

• Knowledge on Agile methodology and desired tools like Jira, confluence etc.

• Scripting/development experience with Node.js, Mocha/Chai

• Experience working in any Salesforce cloud environment like SFMC, SFSC etc.

• Excellent written, verbal communication and articulation skills & Good team player

• Self-starter and self-learner with keen interest to grow

• Process orientation and the ability to define and setup processes

• Ability to provide necessary coaching to bring team members up to speed on the technology

• Ability to prioritize and manage multiple tasks

• Excellent and innovative approach to problem solving and finding solutions

• Flexible and proactive/self-motivated working style with excellent personal ownership of problem resolution

Job Description:

Look for candidates who are preferably immediate joiners and have stability in career

Skills - DS Algorithms, Oops Concept,

Job Brief-

·       Understand product requirements and come up with solution approaches

·       Build and enhance large scale domain centric applications

·       Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

Job Summary:

We are looking for a highly skilled and experienced Java Backend Developer with 4.5+ years of hands-on experience in backend development, system design, and API integration. You’ll play a key role in designing and building high-performance backend systems that are scalable, secure, and reliable. As a core member of the engineering team, you’ll collaborate closely with product owners, architects, and other developers to deliver quality solutions.

Responsibilities:

• Design and develop backend components, REST APIs, and microservices using Java and Spring Boot.
• Contribute to the architectural decisions and system design discussions.
• Write clean, efficient, and testable code following best practices.
• Optimize application performance, scalability, and reliability.
• Integrate third-party APIs and work with external systems.
• Participate in code reviews, mentor junior developers, and support the team’s technical growth.
• Work closely with DevOps to support CI/CD pipelines and deployments.
• Troubleshoot and resolve complex issues in production and non-production environments.
• Keep up with industry trends and advocate for best practices in backend development.
• 
  

Required Skills:

• 4.5+ years of hands-on experience in backend development with Java (Java 8 or above).
• Strong expertise in Spring Framework (Spring Boot, Spring MVC, Spring Data).
• Experience designing and consuming RESTful APIs and working with microservices architecture.
• Solid understanding of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Proficient with version control systems like Git and tools like Maven or Gradle.
• Familiarity with Docker, containerization, and cloud platforms (AWS/GCP/Azure).
• Experience with unit testing and integration testing (JUnit, Mockito, etc.).
• Good knowledge of software design principles, data structures, and algorithms.
• Excellent problem-solving skills and attention to detail.

Core Experience:

•Experience in Core Java, J2EE, Spring/Spring Boot, Hibernate, Spring REST, Linux, JUnit, Maven, Design Patterns.

• Sound knowledge of RDBMS like MySQL/Postgres, including schema design.

• Exposure to Linux environment.

• Exposure to Docker and Kubernetes.

• Basic Knowledge of Cloud Services of AWS, Azure, GCP cloud provider.

• Proficient in general programming, logic, problem solving, data structures & algorithms

• Good analytical, grasping and problem-solving skills.

Secondary Skills:

• Agile / Scrum Development Experience preferred.

• Comfortable working with a microservices architecture and familiarly with NoSql solutions.

• Experience in Test Driven Development.

• Excellent written and verbal communication skills.

• Hands-on skills in configuration of popular build tools, like Maven and Gradle

• Good knowledge of testing frameworks such as JUnit.

• Good knowledge of coding standards, source code organization and packaging/deploying.

• Good knowledge of current and emerging technologies and trends.

Job Responsibilities:

• Design, Development and Delivery of Java based enterprise-grade applications.

• Ensure best practices, quality and consistency within various design and development phases.

• Develop, test, implement and maintain application software working with established processes.

Work with QA and help them for test automation

• Work with Technical Writer and help them documenting the features you have developing.

Education and Experience:

• Bachelor’s / master’s degree in computer science or information technology or related field

Job Description

• Java engineer with 6-8 years of experience , person with strong Java, spring core, Springboot, Rest API , Microservices hands-on experience.
• Knowing Kafka is a plus.
• Well versed with CICD, Agile processes . good attitude, good communication skills.

Role

• Code development, testing, team coordination,
• Open to work on non-tech activities along with coding also.
• Should be ready and flexible to work from Impetus office and customer office as per the requirement of project.

• Strong experience in C# programming.
• Good knowledge in designing classes and components using the OOPs paradigm.
• Fair knowledge of GoF Design Patterns.
• Good experience in applications developed using both .NET Framework and .NET Core
• Proficiency in using third-party tools like DevExpress/Infragistics.
• Solid understanding of Web application development using ASP.NET MVC framework and ASP.NET Core
• Strong experience in developing RESTful APIs using both ASP.NET Web API and ASP.NET Core Web API.
• Must have knowledge in developing ASP.NET WebForms.
• Decent exposure in developing Windows Applications/WPF applications.
• Professional, precise communication skills
• Work experience writing Unit tests
• Work experience in applying the best practices of Web Application development
• Working experience in an Agile team especially with SCRUM
• Good to have experience in JavaScript frameworks, primarily on Angular and React
• Good to have experience in JSON, AJAX, JavaScript, HTML5, CSS, and XML Following Skills will be an added advantage
• Experience developing Windows Forms Applications
• Knowledge of using third-party tools like DevExpress
• Experience in Angular front-end framework

• Should be self-motivated and a quick learner with a problem-solving mind-set
• Attention to detail and follow-through to achieve good quality and meet deadlines.
• Ability to work effectively in a team as well as in an individual environment
• Should have excellent written and verbal communication skills