Java Team Lead

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 Title: Java Developer

Experience Required: Minimum 3 Years

Location: Jaipur (Jagatpura) – On-site

Employment Type: Full-Time

Joining Preference: Immediate joiners highly preferred

About Deqode

Deqode is a technology-first company focused on solving complex enterprise challenges using cutting-edge technologies. We offer a collaborative, innovation-driven environment that empowers engineers to grow and contribute to impactful projects.

Job Summary

We are seeking a skilled Java Developer with 3+ years of experience to join our dynamic engineering team at our Jaipur office. The ideal candidate will have strong experience with Java, Spring Boot, Microservices architecture, and Kafka, along with exposure to cloud environments and container orchestration tools.

Mandatory Criteria

• Strong experience in Java, Spring Boot, and Microservices
• Must be based in Jaipur or open to relocating immediately
• Preference for immediate joiners

Key Responsibilities

• Take end-to-end ownership of development tasks with minimal guidance.
• Participate in the full software development lifecycle including design, development, testing, deployment, and support.
• Write clean, maintainable, and testable code following best practices and coding standards.
• Review code, provide constructive feedback, and contribute to improving team efficiency and code quality.
• Collaborate with cross-functional teams like frontend developers, QA, Product Managers, and third-party service providers to resolve dependencies and drive delivery.
• Ensure implementation of proper unit testing and maintain code coverage as per defined standards.
• Support and resolve production issues promptly to ensure high system availability.

Must-Have Skills

• Bachelor's degree in Computer Science or a related field
• Minimum of 3 years of professional experience in backend development using Java
• Expertise in Spring Boot and RESTful APIs
• Solid experience working with Microservices architecture
• Hands-on experience with Netflix OSS or Spring Cloud
• Working knowledge of Kafka for messaging and event-driven architecture
• Proficient in writing JUnit test cases and achieving code coverage goals
• Hands-on experience in CI/CD tools and pipelines (Jenkins, GitLab CI, etc.)

Tasks:

·      You will take part in the design of the architecture and the development of modern software-based applications in the back-end (Node.JS, TypeScript, Nest.JS)

·      You support the technological conception, programming and implementation of new features

·      You help manage IoT-to-Cloud services, Microservices, Kubernetes and Docker on GCP

Requirements:

·      Bachelor or Master student in an IT-related field of study

·      Ability to holistically conceive applications in multiple technologies in the backend

·      Experience in agile software development with JavaScript, TypeScript, Node.JS and ideally Nest.JS

·      First experiences in Cloud (AWS/Azure/GCP) and Docker

·       

Nice to Have:

·      Experience with GraphQL, Microservices, Kubernetes

·      Understanding of IoT device management and message brokers like AMQP or MQTT

Benefits:

·      A responsible position in a fast-growing and highly innovative start-up

·      An agile and diverse team with colleagues from all over the world

·      English speaking open work environment, with flat hierarchies and short decision-making paths

·      Advanced technology stack leveraging cutting-edge IoT hardware and software

·      Creative freedom for own ideas, projects and personal development

·      Team building, learning and start-up events

Principal Engineer/Architect :

Job Description

Egnyte is seeking an experienced Principal Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events on a daily basis. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But not limited to):

• Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
• Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
• Effectively communicate complex design and architecture details
• Understand company and industry-wide trends to help develop new technologies
• Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
• Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

• BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
• 8-15 years of professional experience in engineering with history of technical innovation
• Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

• Breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
• Demonstrated success in designing and developing large scale, complex systems
• Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit http://www.egnyte.com/" target="_blank">www.egnyte.com

Java Full Stack Developer

Notice Period: 45 days / Immediate Joining

Banyan Data Services (BDS) is a US-based Infrastructure Services Company, headquartered in San Jose, California, USA. It provides the full stack managed services to support the business applications and data infrastructure 

We are looking for a Java Full Stack Developer who has the expertise and deep knowledge of frameworks and tools used in java and who works end to end on the application stack, right from developing the front end, the back-end module & the database.

It's a once-in-a-lifetime opportunity to join our start-up run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges

Key Responsibilities

· Ability to write high-quality code efficiently

· Design and develop new services or micro-services.

· Participate in planning and management of development process.

· Share architectural design vision with both technical and non-technical team members, including fellow engineers.

· Works on improvements in development toolset including testing frameworks, deployment scripts, and monitoring libraries.

· Experience solving complex problems and implementing solutions for performance and scalability.

· Write clean, well-structured and maintainable code with automated test coverage and corresponding documentation.

· Explore new latest relevant technology, techniques, frameworks, tools, methodologies, and processes.

· Comfortable working with all aspects of software development; including DevOps, quality assurance, research, and design.

Key Requirements

· 3+ years of experience working with Core Java, Spring framework & Spring Boot, Hibernate, Spring Data JPA.

· Knowledge of microservices architecture is mandatory.

· Must have worked on Java Multi-threading & Java NIO.

· At least 1-year of experience with front-end technologies like Angular, React, Vue.js applications.

· Exposure to any of relation database technologies MySQL, Postgres, Oracle, or any No-SQL database.

· Strong knowledge of Web APIs.

· Experience with agile application development.

· Having knowledge of O Auth 2.0 JWT is a plus.

· Proficiency in one or more modern programming languages i. e. Java or J2EE, Python, Go, React.

· Experience in Cloud Technologies including AWS, containers, and Kubernetes.

· Demonstrated experience in performing DevOps for platforms.

· Strong Skill sets in Data Structures & Algorithm in using efficient way of code complexity.

· Passion for learning new technologies and the ability to do so quickly

http://www.banyandata.com" target="_blank">www.banyandata.com