Java 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.

Job Title : Senior Java Developer

Experience : 6+ Years

Shift Timing : 01:00 PM to 10:00 PM

Domain : Clinical Research

Location : Noida, Gurgaon & Pune

Mandatory Skills :

Java 8+, Hibernate, Oracle, PostgreSQL, JAX-RS (RestEasy), Jackson, REST APIs, JSP, React.js, GitHub, GitHub Actions, SonarQube, SonarLint, and AWS (IAM, SNS, SQS, S3, CloudWatch).

Job Summary :

We are looking for an experienced Senior Java Developer with 6+ years of experience to join the software development team of a leading Clinical Research organization.

The role involves developing and enhancing enterprise applications, building scalable APIs, and contributing to feature development while ensuring code quality and best practices.

Key Responsibilities :

• Develop and maintain enterprise applications using Java 8+ and Hibernate.
• Design and consume RESTful APIs using JAX-RS (RestEasy) and Jackson.
• Work with Oracle and PostgreSQL databases, including complex query writing.
• Develop UI components using JSP and React.js.
• Utilize GitHub and GitHub Actions for version control and CI/CD processes.
• Ensure code quality through SonarQube and SonarLint.
• Work with AWS services including IAM, SNS, SQS, S3, and CloudWatch.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Note : Candidates should preferably be sourced from organizations within the Grid ecosystem.

Java/J2EE Developer:

SquareShift is a young and fast-growing cloud consulting company, solving cloud challenges through excellence in technology, thought leadership, and quality in execution. We are based in Singapore, with a world-class engineering team in India. 

Founded by serial entrepreneurs, we are a team of tech-enthusiasts who have strong expertise in enterprise product development and cloud technologies. As an early and core member of the team, you will work with founders and will own the organization's business development efforts.

• 5+ years of experience in Java and J2EE
• Expertise in Object Oriented Programming and Design Patterns
• Experience with Web Services (SOAP/REST), JMS, XML
• Experience working with relational databases like Oracle, MSSQL
• Proficient in writing SQL Queries and knowledge on PL/SQL
• Experience with multi-tiered application architecture
• Knowledge of writing secure and optimized code
• Experience with Version Control Systems preferably GIT
• Working experience of build and continuous integration tools – MAVEN and JENKINS
• Strong knowledge of unit testing technologies – JUNIT
• Exceptional defect analysis, triaging and fixing skills
• Experience in Agile Software Development (Scrum or Kanban)

Integration Lead

Job Description

This role must be capable of building Dot net application and integration capabilities to enable microservice architecture. In addition to being hands on developer, the role requires the individual to leading and work with Dot net developers and integration developers, overseeing the end to end technical working to deliver features. Candidates who like to experiment and learn/discover new technologies, methods, tools with a direction to bring new capabilities to the product will be suitable

Key Responsibilities

• Perform Product Discovery proof of concepts as directed by Product manager
• Design, develop, and maintain both new and existing code, ranging from client-side development using JavaScript, HTML, and CSS, to server-side code using C# and ASP.NET MVC, Web API, Windows services, and ADO.NET for data persistence and retrieval.
• Write readable, extensible, testable code, while being mindful of performance requirements. • Create, maintain, and run unit tests for both new and existing code, with a goal of delivering defect-free and well-tested code to QA.
• Capable of developing restful services using Dot net framework and other integration tools
• Work with management to create and adhere to schedules, while maintaining flexibility to adapt to shifting market demands.
• Translate mockups and wireframes into functioning front-end code.
• Write and maintain documentation for new and existing features.
• Keep up-to-date on best practices and new technologies.
• Rapid prototyping, and presenting conceptual design and working prototypes to management.
• Conduct design and code reviews and collaborate to ensure your own code passes review.
• Work with Product Management to analyze require

Required Skills & Experience

• Experience in Dot Net framework preferably in cloud based platforms/infrastructure
• Experience in integration enablement preferably in REST APIs
• Experience in Database languages and stored procedures, database query optimization
• Experimental knowledge in a broad technical aspects like SSO (SAML2/Oauth2), Security, RPA, Microservices architecture

Qualifications

BE with 6+ years of experience in product development

• 4+ years exp with solid backend/engineering experience.
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang, it's design, and concurrency patterns.

Role & Responsibilities:

• Handle multiple products/modules simultaneously, lead the team in development and support
• Lead development teams
• Daily updates to customers and Product Managers/Delivery Managers
• Participate in design discussions
• Design and Architect small modules
• Effort estimations for modules, subsystems or use cases.
• Learn new skills and mentor the new team members
• Champion best practices within the team, including code reviews
  
  

Work Experience & Skills:

• B.E/B.Tech or any relevant Masters degree from reputed college.
• Strong 5+ years of experience in Java, J2EE, Spring IOC, Spring Annotations, Spring JDBC, Jquery, Java script, HTML 5 and CSS
• Strong experience in Postgres or any SQL technology
• Experience with working on Tomcat, Apache, JBoss or any similar application server
• Should have 3+ years of experience in leading team.
• Good experience in JSON / RESTful API / Web Services.
• Experience in working on Agile methodology using Scrum and sprints
• Experience in using build tools, Maven, GIT, Bugzilla or similar tools.
• Experience in cloud technologies, Microservices and frameworks such as AWS or GPC, container technologies like Docker is a plus.
• Ability to adapt to new development environments, changing business requirements and learning new systems highly desired
• Experience in Microservices, SpringBoot and Angular is a plus.
• Experience with tuning deployed applications for scalability and performance.
• Good knowledge of deployment and scripting on Linux/Unix servers
• Strong technical documentation skills.
• Good oral and written communication skills

About PoshVine: 

PoshVine aspires to become the world's leading transaction-driven loyalty and engagement platform by providing a mutually beneficial ecosystem for people, banks and retailers. Our products around programmatic offers, rewards, and loyalty help retailers increase contextual engagement and financial institutions increase share of spends, while end-users maximize their rewards and savings. PoshVine works with all the global payment networks and many marquee financial institutions, including 7 of the top 10 banks in India. 

Backend Development at PoshVine:

We are building payment-linked real-time engagement tools embedded within banking and payment journeys. Our core engineering team strives to build solid backend foundations, infrastructure and a solid network of microservices. Apart from regular work, you can expect:

• Freedom to evaluate and introduce new tools, libraries and coding standards.
• Work on developer productivity and platform tooling.
• Evangelise tech and share knowledge in internal and external forums.
• Contribute to Product and Design ideas and implement them like it’s your own product. 

Roles & Responsibilities: 

1. Be involved in product and design decisions, and drive implementations. 
2. Help us scale the payment-linked loyalty infrastructure to every payment product used in India. Develop platform features for/with reusable code.
3. Work with IT/tech SPOCs from Banks and Fintechs to achieve seamless API integrations, resolve concerns, and move forward with program delivery and implementation. 
4. Tag team with internal and external stakeholders to problem solve and work with banks to test out UAT/Production and create a rollout plan for the same. 
5. Perform in-depth research and identify sources off production issues surrounding the application. 
6. Make architectural decisions (microservices, choice of development frameworks and tools, database optimisations, load handling)
7. Proficient in Full stack development skills spanning the entire spectrum from:

1. Database: MySQL, PostgreSQL
2. Backend: Ruby on Rails
3. Front End: Web Development frameworks  (Angular / React / Vue JS)
4. Deployment: Capistrano, Chef, AWS, EC2, Git

You’ll be a good fit if you possess: 

1. A strong product design sense.
2. Good experience in working with Ruby on Rails, Postgres, Python.
3. Proven ability to understand end user requirements, formulate use cases and come up with effective solutions.
4. Good understanding of REST APIs and the web in general.
5. Ability to build a feature from scratch & drive it to completion.
6. A willingness to learn new technology, whatever lets you deliver the best product.
7. Possess excellent data management skills: 
1. How to structure databases that can scale
2. How to optimise database queries
3. Complying with the latest regulations around data for each geography
4. Managing the infrastructure that the data resides on to ensure 99.9% uptime across geographies
8. You are comfortable working on CI/CD toolchain, Kubernetes, etc.
9. 3+ years of experience. 

Designation : Technical Lead/ Architect  – Java

Experience: 6+ yrs

Location: Noida

Skills- Must have: Architect exp, design, Strong on Java, cloud, latest tech stacks, hands-on, problem-solving, communication skills, client handling, sprint planning & execution, micro services, spring

 Tech Skills Required:-

-7+ years of design/implementation/consulting experience with distributed applications.

- Experience in infrastructure architecture, database architecture, and networking

- Experience architecting/deploying/operating solutions

- Experience migrating or transforming legacy customer solutions to the cloud

- Working experience on Spring boot / similar frameworks using Java8/11

- Exposure to REST services, web sockets, SOAP services.

- Databases MySQL, PostgreSQL, NoSQL  like MongoDB, Cassandra

- Queuing Systems like Rabbit MQ, ActiveMQ, Kafka

- Implemented MicroServices using design patterns like service discovery, circuit breakers, API Gateway, open-tracing.

- Experience in Security standards like OAUTH2.0, UMA, OpenID-connect.

- Hands-on knowledge on container tools like docker, podman

- Excellent in Problem-solving & solutioning

- Excellent communication skills

- Working knowledge on either of the Top 3 cloud solutions 

Good to have:-

- gRPC

- Kubernetes/Openshift

- Pivotal Cloud Foundry, PKS

- GitHub profile with commit history.

- Certification equivalent to Solutions Architect.

• Well versed in Core Java, OOPs concepts, collections, multi-threading, concurrency, lambdas, and streams.
• Hands-on knowledge of Spring Core, MVC, JPA, Security, transaction
• Working knowledge of REST API designing as well as development, using Spring.
• Exposure to Spring Boot, Docker, Kubernetes, OpenShift for the microservices environment.
• Savvy with SQL and database concepts.
• Ability to use frameworks like JUnit, Mockito, etc., for implementing unit testing.
• Sound understanding of code versioning tools, such as Git/bit bucket with Maven.
• Should have worked in a CI/CD environment with TeamCity/Jenkins.

We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Experience

12+ Years

Location

Hyderabad

Skills

Bachelors/Masters/Phd in CS or equivalent industry experience

10+ years of industry experience in java related frameworks such as Spring and/or Typesafe

Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python

Experience with popular modern web frameworks such as Spring boot, Play framework, or Django

Demonstrated expertise of building and shipping cloud native applications

Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd

Experience in API development using Swagger

Strong expertise with containerization technologies including kubernetes, docker-compose

Experience with cloud platform services such as AWS, Azure or GCP.

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as Git

Familiarity with continuous integration, Jenkins

Responsibilities

Architect, Design and Implement Large scale data processing pipelines

Design and Implement APIs

Assist in dev ops operations

Identify performance bottlenecks and bugs, and devise solutions to these problems

Help maintain code quality, organization, and documentation

Communicate with stakeholders regarding various aspects of solution.

Mentor team members on best practices