Java Developer (oracle stack)

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:

We are looking for a Lead Java Developer – Backend with a strong foundation in software engineering and hands-on experience in designing and building scalable, high-performance backend systems. You’ll be working within our Digital Engineering Studios on impactful and transformative projects in a fast-paced environment.

Key Responsibilities:

• Lead and mentor backend development teams.
• Design and develop scalable backend applications using Java and Spring Boot.
• Ensure high standards of code quality through best practices such as SOLID principles and clean code.
• Participate in pair programming, code reviews, and continuous integration processes.
• Drive Agile, Lean, and Continuous Delivery practices like TDD, BDD, and CI/CD.
• Collaborate with cross-functional teams and clients for successful delivery.

Required Skills & Experience:

• 9–12+ years of experience in backend development (Up to 17 years may be considered).
• Strong programming skills in Java and backend frameworks such as Spring Boot.
• Experience in designing and building large-scale, custom-built, scalable applications.
• Sound understanding of Object-Oriented Design (OOD) and SOLID principles.
• Hands-on experience with Agile methodologies, TDD/BDD, CI/CD pipelines.
• Familiarity with DevOps practices, Docker, Kubernetes, and Infrastructure as Code.
• Good understanding of cloud technologies – especially AWS, and exposure to GCP or Azure.
• Experience working in a product engineering environment is a plus.
• Startup experience or working in fast-paced, high-impact teams is highly desirable.

Fusion Softtech is one of the best offshore development companies based in Ahmedabad, India. We are a bunch of tech-savvy individuals who together as a teamwork to have great expertise in the latest technologies and developments so as to be able to cater the best of the services in the domain of Technology.

We, ensure being the hard core Technoids that our clients around the globe are given the best of our facilities through advancements in technologies which would actually help to make their lives a better place. What we do? We are specialized in creating user-friendly web-designs and applications with a primary goal to be simple and effective for use. We work hand-in-hand with your visions and goals to optimize your business/product. We provide you an end-to-end solution.

• Lead a team, handle client, conduct technical interview, and provide training to new joiners.
• Design, implement, and maintain web application phases.
• Conduct software analysis, programming, testing, and debugging
• Identifying production and non-production application issues
• Transforming requirements into stipulations.
• Should have knowledge of Data structures
• Develop, test, implement and maintain application software
• Recommend changes to improve established software application processes
• Ability to develop logical and high-quality code which meets functional specifications along with technical requirements for reusability, maintainability and scalability when appropriate application code for java programs.
• Ability to perform technical analysis based on requirements to establish architecture approach and create detailed design in support of the requirements.
• Excellent written and verbal communication skills, worked for foreign client would be an added advantage.

Technical Skills:
OOPS, Java, J2EE, Spring MVC, Spring Boot , Spring security and Spring Batch SOAP, REST API, Logging Framework, Hibernate, XML, JEE (Servlets/JSP/JMS), web services experience, microservices, AWS, Kubernetes, ELK Stack, Multithreading, GIT

Key Skills and Experience:

• Min 5+ years of experience in the JAVA/J2EE.
• Experience with RESTFUL Web services.
• Experience in portal & web content management
• Hands-on experience on Javascript frameworks Alloy UI and JQuery.
• Hands-on experience in software development using J2EE Frameworks Spring, Spring Boot, Struts, Hibernate.
• Basic knowledge of Javascript, HTML5, and CSS3.
• Good to have experience or Knowledge in AngularJS, ReactJS, different AWS services like S3, EC2, DynamoDB, Lambda function.
• Exposure in any of the Databases -MySQL/Postgres/Oracle/DB2 etc.

Perks and Benefits:

• Flexible working hours.
• 5 days working
• Fun loving environment with ample scope for flexibility.
• Exposure to work for foreign clients
• Employee friendly leave & Company Policies.
• Best working culture

2+ years of experience developing web applications using J2EE.

2+ years of experience in Spring Boot.

Good knowledge of MicroServices.

Expertise developing enterprise-level web applications and RESTful APIs using MicroServices, with demonstrable production-scale experience.

Working experience in Industry Standard protocols related API Security including OAuth is a must.

Demonstrate strong design and programming skills using JSON, Web Services, XML, XSLT, PL/SQL in Unix and Windows environments.

Strong Shell scripting experience

Passion to stay on top of the latest happenings in the tech world and an attitude to discuss and bring those into play.

Strong collaboration and communication skills within distributed project teams

Excellent written and verbal communication skills

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code. 

Responsibilities

• 2-5 years experience.
• Experience with user interface design, database structures and statistical analyses.
• Analytical mindset and good problem-solving skills.
• Good organisational skills.
• Excellent written and verbal communication.
• Ability to work as part of a team
• Object Oriented analysis and design using common design patterns.
• Proven working experience in Java development
• Experience with test-driven development

Qualifications

• Bachelor's degree or equivalent experience in Computer Science or related field
• Development experience with programming languages

Skills Required - Java, javascript, Web technologies - Servlet, HTML, CSS, Development using IDE's.

About the Company - Bandhoo's mission is to help increase income opportunities for construction Workers and Contractors.

India has nearly 70 million construction workers - masons, painters, welders, electricians, plumbers, crane operators, JCB operators, bar benders - doing short gigs across a wide spectrum of projects. Many sectors use them - Real Estate, Factory construction, Power Plants, Infrastructure, etc. More than 30% of these workers are migrant and nomadic.

Bandhoo's mission is to help make this labour market transparent and efficient, thereby helping Contractors find workers more easily, and workers find jobs more conveniently. This venture has the potential to deliver significant social impact and that remains a driving motivation for the Bandhoo team.

• Experience level of 6 to 9 years of experience in very large-scale applications.
• Strong problem-solving skills, computer science fundamentals, data structures and
• algorithms their space & time complexities
• Design (LLD & HLD) and architect technical solutions for the business problems of a very large-scale portal.
• Strong hands-on and practical working experience with Java as the programming language
• Strong debugging skills - Code, Logs, DB, JVM
• Excellent coding skills - should be able to convert design into code fluently.
• Hands-on experience working with Databases and Linux platform