.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.

🚀 Hiring: Java Developer at Deqode

⭐ Experience: 4+ Years

📍 Location: Indore, Pune, Mumbai, Nagpur, Noida, Kolkata, Bangalore,Chennai

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Requirements

✅ Strong proficiency in Java (Java 8/11/17)

✅ Experience with Spring / Spring Boot

✅ Knowledge of REST APIs, Microservices architecture

✅ Familiarity with SQL/NoSQL databases

✅ Understanding of Git, CI/CD pipelines

✅ Problem-solving skills and attention to detail

Job Title: Java Lead – Software Engineering

Location: Mohali | Panchkula | Gurugram (Onsite)

Experience: 7+ Years

About the Role:

We are seeking a highly skilled and passionate Java Lead who will be responsible for designing, developing, and leading the implementation of scalable and maintainable product features. As a Lead, you will play a key role in guiding a team, ensuring coding best practices, and resolving complex technical challenges. This is a great opportunity for someone who thrives in a fast-paced environment, is passionate about solving technical problems, and is excited about leading product development end-to-end.

Key Responsibilities:

· Lead a team of developers in designing and building micro-services using Java.

· Decompose feature requests into sizable and estimable pieces of work.

· Deliver scalable, maintainable, and high-quality code within defined timelines.

· Conduct code reviews to ensure adherence to coding standards and best practices.

· Collaborate with cross-functional teams to solve complex technical challenges.

· Act as a subject matter expert for specific product components.

· Debug and resolve critical production issues with detailed root cause analysis.

· Drive adoption of Agile practices, ensuring proper planning, estimation, and delivery.

Required Qualifications:

· Bachelor’s degree in Computer Science or a related field.

· 7+ years of strong experience in Java development.

· 3+ years of hands-on experience in developing and delivering productized software applications.

· Experience in leading teams and mentoring developers.

· Proven ability to design and deliver scalable and maintainable applications.

· Strong problem-solving and analytical skills with a self-driven mindset.

· Excellent written and verbal communication skills.

Preferred Skills:

· Hands-on experience with Java micro-services.

· Familiarity with CI/CD pipelines.

· Strong understanding of Agile methodologies.

· Cloud and containerization exposure with AWS and Docker.

Technology Stack:

· Java

· Micro-services

· SQL

· AWS

· Docker

We are looking for an experienced Java Support Engineer with 4+ years of hands-on experience in supporting and maintaining Java/Spring Boot-based applications. The ideal candidate will be responsible for production support, debugging issues, and ensuring smooth application performance.

Key Responsibilities:

• Provide L2/L3 support for Java/Spring Boot applications in production and non-production environments.
• Perform incident analysis, root cause identification, and apply quick fixes or permanent solutions.
• Handle application deployments, environment monitoring, and performance tuning.
• Collaborate with development, DevOps, and database teams to resolve technical issues.
• Write and debug SQL queries, manage data fixes, and ensure database integrity.
• Use monitoring tools like Splunk, Kibana, or ELK Stack for issue investigation.
• Prepare documentation for recurring issues and maintain knowledge base.

Technical Skills:

• Strong in Core Java, Spring Boot, RESTful APIs
• Good knowledge of SQL / PL-SQL (Oracle / MySQL / PostgreSQL)
• Familiar with Linux/Unix commands and Shell scripting
• Exposure to microservices architecture and CI/CD tools (Jenkins, Maven)
• Hands-on experience with application monitoring and log analysis tools
• Knowledge of cloud (AWS / Azure) environments is a plus

Soft Skills:

• Strong problem-solving and analytical mindset
• Good communication and teamwork skills
• Ability to work under pressure and handle on-call support if required

Role: .NET Developer

Exp: 5-7 Years

CTC: up to 15 LPA

Required Qualifications:

• 5+ years of professional software development experience.
• Post-secondary degree in computer science, software engineering or related discipline, or equivalent working experience.
• Development of distributed applications with Microsoft technologies: C# .NET/Core, SQL Server, Entity Framework.
• Deep expertise with microservices architectures and design patterns.
• Cloud Native AWS experience with services such as Lambda, SQS, RDS/Aurora, S3, Lex, and Polly.
• Mastery of both Windows and Linux environments and their use in the development and management of complex distributed systems architectures.
• Git source code repository and continuous integration tools.
• Proficient with debugging and profiling distributed systems.

🔧 Key Skills

• Strong expertise in Python (3.x)
• Experience with Django / Flask / FastAPI
• Good understanding of Microservices & RESTful API development
• Proficiency in MySQL/PostgreSQL – queries, stored procedures, optimization
• Solid grip on Data Structures & Algorithms (DSA)
• Comfortable working with Linux & Windows environments
• Hands-on experience with Git, CI/CD (Jenkins/GitHub Actions)
• Familiarity with Docker / Kubernetes is a plus

Title: Sr.java Developer

Location  : Pune

Exp : 7+ Years

-              Strong Java background and backend Database experience

              Must have strong exp in SQL

             Experience should include working on an Enterprise level product.

-              Should have knowledge in Apache Calcite

Roles and Responsibilities:

1. Must be proficient in developing object-oriented applications
2. Must have hands on experience on C# & MS SQL.
3. Participate in troubleshooting and training of issues with different teams to drive towards root cause identification and resolution.
4. Participate in technical communication within the team and to other groups, prepare technical design documents and work on Azure DevOps agilie lifecycle.
5. Positive attitude, Smart work, problem solving attitude, ready to upgrade skills with latest technologies
6. Good to have experience on design patterns, Azure cloud, Azure DevOps, Dapper, Azure storage, Dotnet Core framework, Micro services.
7. Meeting with technology managers to determine application and website requirements.
8. Upgrading existing .NET websites and applications.
9. Analyzing system requirements and delegating development tasks.
10. Developing technical specifications.
11. Writing scalable code for .NET software applications.
12. Reviewing and debugging .NET applications.
13. Providing support for junior developers.
14. Deploying functional websites, programs, and applications.
15. Drafting software and application operating procedures.
16. Training junior staff.
17. Good verbal and written communication skills