Java Developer

Job Title : Senior Consultant (Java / NodeJS + Temporal)

Experience : 5 to 12 Years

Location : Bengaluru, Chennai, Hyderabad, Pune, Mumbai, Gurugram, Coimbatore

Work Mode : Remote (Must be open to travel for occasional team meetups)

Notice Period : Immediate Joiners or Serving Notice

Interview Process :

• R1 : Tech Interview (60 mins)
• R2 : Technical Interview
• R3 : (Optional) Interview with Client

Job Summary :

We are seeking a Senior Backend Consultant with strong hands-on expertise in Temporal (BPM/Workflow Engine) and either Node.js or Java.

The ideal candidate will have experience in designing and developing microservices and process-driven applications, as well as orchestrating complex workflows using Temporal.io.

You will work on high-scale systems, collaborating closely with cross-functional teams.

Mandatory Skills :

Temporal.io, Node.js (or Java), React.js, Keycloak IAM, PostgreSQL, Terraform, Kubernetes, Azure, Jest, OpenAPI

Key Responsibilities :

• Design and implement scalable backend services using Node.js or Java.
• Build and manage complex workflow orchestrations using Temporal.io.
• Integrate with IAM solutions like Keycloak for role-based access control.
• Work with React (v17+), TypeScript, and component-driven frontend design.
• Use PostgreSQL for structured data persistence and optimized queries.
• Manage infrastructure using Terraform and orchestrate via Kubernetes.
• Leverage Azure Services like Blob Storage, API Gateway, and AKS.
• Write and maintain API documentation using Swagger/Postman/Insomnia.
• Conduct unit and integration testing using Jest.
• Participate in code reviews and contribute to architectural decisions.

Must-Have Skills :

• Temporal.io – BPMN modeling, external task workers, Operate, Tasklist
• Node.js + TypeScript (preferred) or strong Java experience
• React.js (v17+) and component-driven UI development
• Keycloak IAM, PostgreSQL, and modern API design
• Infrastructure automation with Terraform, Kubernetes
• Experience in using GitFlow, OpenAPI, Jest for testing

Nice-to-Have Skills :

• Blockchain integration experience for secure KYC/identity flows
• Custom Camunda Connectors or exporter plugin development
• CI/CD experience using Azure DevOps or GitHub Actions
• Identity-based task completion authorization enforcement

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.

Shift timings : Afternoon

Job Summary

We are seeking an experienced Senior Java Developer with strong expertise in legacy system migration, server management, and deployment. The candidate will be responsible for maintaining, enhancing, and migrating an existing Java/JSF (PrimeFaces), EJB, REST API, and SQL Server-based application to a modern Spring Boot architecture. The role involves ensuring smooth production deployments, troubleshooting server issues, and optimizing the existing infrastructure.

Key Responsibilities

● Maintain & Enhance the existing Java, JSF (PrimeFaces), EJB, REST API, andSQL Server application.

● Migrate the legacy system to Spring Boot while ensuring minimal downtime.

● Manage deployments using Ansible, GlassFish/Payara, and deployer.sh scripts.

● Optimize and troubleshoot server performance (Apache, Payara, GlassFish).

● Handle XML file generation, email integrations, and REST API maintenance.

● Database management (SQL Server) including query optimization and schema updates.

● Collaborate with teams to ensure smooth transitions during migration.

● Automate CI/CD pipelines using Maven, Ansible, and shell scripts.

● Document migration steps, deployment processes, and system architecture.

Required Skills & Qualifications

● 8+ years of hands-on experience with Java, JSF (PrimeFaces), EJB, and REST APIs.

● Strong expertise in Spring Boot (migration experience from legacy Java is a must).

● Experience with Payara/GlassFish server management and deployment.

● Proficient in Apache, Ansible, and shell scripting (deployer.sh).

● Solid knowledge of SQL Server (queries, stored procedures, optimization).

● Familiarity with XML processing, email integrations, and Maven builds.

● Experience in production deployments, server troubleshooting, and performance tuning.

● Ability to work independently and lead migration efforts.

Preferred Skills

● Knowledge of microservices architecture (helpful for modernization).

● Familiarity with cloud platforms (AWS/Azure) is a plus.

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

• Design and build user-facing products, owning the entire process from gathering functional requirements from teams, through testing and staging, to deploying in a Python based stack
• Guide the team in making technical trade-offs
• Proactively identify bottlenecks, areas for improvement and put forth a plan to course-correct
• Design and implement maintainable backend services, including data processing pipelines, APIs and internal tools
• Coordinating with internal teams to understand user requirements and provide technical solutions

Job Requirements :

- Should have experience in supporting the application and infrastructure 24x7.

- Should have good working knowledge on troubleshooting skills of Operating Systems (Linux/Windows)

- Good experience on Java/j2EE application supporting and AWS infra supporting.

- Ability to work with 3rd parties/FOPS and provide required instruction to troubleshoot and restore faults.

- Respond quickly and effectively to production issues, troubleshooting solutions, and
taking responsibility for seeing those solutions through resolution.

- Identify root cause and corrective actions for highly complex availability, capacity, security, performance, and quality issues affecting the database.

- Strong knowledge of Linux/Unix operating system.

- Good knowledge of scripting languages like Shell, Python.

- Good Knowledge of Databases like Mongo, Mysql, SQL Server.

- Respond to alerts and take corrective action to ensure the high availability of our
production environments and participate in an after-hours on-call rotation.

- Experience/Knowledge of other cloud platforms (Azure, Google Cloud) is a plus

- Strong verbal and written communications skills are a must

- Must have production support experience as the requirement is 24X7X365 production support.

Required Skills:

• 3+ years of experience with development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands-on experience with Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

• Experience in designing and developing web-based applications using Java, J2EE, Web Services, MVC framework, Servlets Spring, Hibernate, Struts, REST, MYSQL.
• Experience in Database application programming for MySQL server using
  Stored Procedures, Triggers, Views etc.
• Experienced in implementing presentation layer using JSP, HTML, CSS, Ajax, JQuery. Java script.
• Experienced in Analysis, Design, Development, Integration, Deployment
  and Maintenance of Web services, Client Server and Web based applications.
• Well versed with Agile development process, Scrum.
• Good knowledge in version control system tools like GIT.
• Ability to take independent responsibility as well as ability to contribute and be a productive team member.
• Excellent analytical, logical and programming skills, Self-Motivated, Self-Starter, Team Player can work with minimal supervision with effective Communication skills and Organizational skills combined with attention and Time management skills.

Job Responsibilities:

• Developing and installing software solutions.
• Designing, implementing and delivering high quality Software project in JAVA, SQL / Oracle, J2EE and other JAVA technologies.
• Participate in detailed level in design, coding, code walk through, peer code reviews and unit testing, System Testing, UAT, Demos, POCs, installation, maintenance of Software modules.
• Software prototype.
• System Architecture.
• Software Design Document.
• User interfaces to be developed as per UX guidelines Code files ensuring coding guidelines followed.
• Code review artefacts during peer code review.
• Test plan and Test Cases.
• Installation / Deployment document Release Document.
• Technical Documentation.