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.

6 + years of hands-on development experience and in-depth knowledge of , Spring Java, Spring boot, Quarkus and nice to have front-end technologies like Angular, React JS

● Excellent Engineering skills in designing and implementing scalable solutions

● Good knowledge of CI/CD Pipeline with strong focus on TDD

● Strong communication skills and ownership

● Exposure to Cloud, Kubernetes, Docker, Microservices is highly desired.

● Experience in working on public cloud environments like AWS, Azure, GCP w.r.t. solutions development, deployment & adoption of cloud-based technology components like IaaS / PaaS offerings

● Proficiency in PL/SQL and Database development.

Strong in J2EE & OOPS Design Patterns.

• Design, develop, test and maintain backend services and APIs using Java and Spring Boot.

• Architect and implement microservices to ensure scalability and robustness of

applications.

• Create and maintain data pipelines to handle large volumes of data efficiently.

• Collaborate with cross-functional teams to gather requirements and deliver high-quality software solutions.

• Participate in code and design reviews to minimize rework and catch issues early in the process.

• Optimize and improve the performance, scalability, and reliability of our systems.

• Conduct code reviews and contribute to best practices in software development.

• Stay updated with the latest industry trends and advancements in Java and backend development technologies

1. Interested in exploring integration technologies 
2. Understand the business complexities of airline & hotel domain and system integration, their business process
3. Explore new technology stacks for integration and 
4. Many more opportunities .

JEE Technologies: Java,Servlet

Database: SQL.JDBC

Tools : GIT

Web Services: REST based API or XML based web services

Others : design Patterns, UML

2+ years of experience working with backend development.

1+ year experience in GoLang Backend Development.

Must show your previous work.

Deployed at least 3 complete products which use REST APIs.

Exposure to making Postman docs.

Knowledge/ Experience of modern authorisation mechanisms, such as JSON Web Token and cookies.

Experience in handling  business requirements and translate them into technical requirements.

Experience with version control such as Git and GitHub
Should have a knowledge of

1. GoLang, GoLang Clean Arch, GoRoutines, GORM, Docker, Go Fiber, PostgreSQL

.

1. Writing reusable, testable, and efficient
2. Design and implementation of low-latency, high-availability, and performant
3. Integration of user-facing elements developed by front-end developers with server side
4. Implementation of security and data
5. Integration of data storage solutions may include databases, key-value stores, blob stores, etc. Experience administering innovation with methodologies such as design
6. Experience working on Agile Scrum and DevOps aligned delivery
7. Interest and ability to learn other coding languages as
8. Strong communication skills and great product
9. Proficient communication skills verbal and
10. Understanding of accessibility and security compliance depending on the specific
11. Knowledge of user authentication and authorization between multiple systems, servers, and environments.
12. Understanding of fundamental design principles behind a scalable
13. Familiarity with event-driven programming in
14. Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific
15. Able to create database schemas that represent and support business
16. Strong unit test and debugging

1. Expert in Python, with knowledge of at least one Python web framework such as Django, Flask, etc depending on your technology
2. Familiarity with some ORM (Object Relational Mapper)
3. Able to integrate multiple data sources and databases into one
4. Understanding of the threading limitations of Python, and multi-process
5. Good understanding of server-side templating languages such as Jinja 2, Mako, etc depending on your technology
6. Basic understanding of front-end technologies, such as JavaScript, HTML5, and
7. Proficient understanding of code versioning tools such as Git, Mercurial or

Job Title: Senior Java Developer

Department: Technology and Research

Reports to:  Technical Lead

Context

Sampana Digital (SDPL) (http://www.sampanadigital.com">www.sampanadigital.com)  is a digital technology company that provides end-to-end product engineering and digital transformation services. Our engineering services includes web & mobile application development, user experience design, cloud, testing and infrastructure managed services to transform businesses digitally. We also enable enterprises with contextual and personalized two-way multi-channel mobile communications, including SMS, voice, email and PWA technology.

We believe in small teams of smart, committed, and diverse individuals coming together and form a breakthrough insight. We are a team of passionate professionals to craft an unbeatable culture and services.

Come and join us!   

Role Description

We are looking for a Senior Java Developer with experience in building high-performing, scalable, enterprise-grade applications.

You will be part of a talented software team that works on mission-critical applications, and your roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.

Job Responsibilities:

• Work with and direct the team’s software engineers in setting the standards for coding, testing and software quality
• Collaborate closely with the team’s BAs on the efficient transition of BDD’s and Swaggers to the engineers as part of the overall workflow.
• Oversee and manage the scope, timeline, and goals forth delivery of working software
• Oversee and assist in the production of comprehensive documentation
• Oversee and provide support to production cutovers and migrations as required
• Lead the analysis and resolution of technical and application problems
• Supporting the Scrum Master
• Participate in and support backlog grooming, sprint planning, daily stand-ups, reviews, retrospectives, release planning, demos and other Scrum related meetings
• Provide clear reporting on the status of the scope, timeline and progress for the delivery of working software
• Assist in setting up a robust out of hours support process
• Assist in the prioritisation of bugs and defects
• Providing Guidance and Mentoring
• Participate in peer reviews of solution designs and related code
• Provide technical leadership to the teams’ software engineers through coaching and mentorship
• Identify and encourage areas for growth, education and development within the team

General

• Self-Starting Leader capable or working under pressure
• Curious and engaged in Continuous Learning and Professional Development
• Strong DevOps experience
• Java and Spring Developer with +5 years’ experience with the following skills
• Java 1.8+
• Spring
• Microservices with Spring-boot
• Spring cloud config
• Unit tests with Spring-boot
• Docker
• Openshift/Kubernetes
• Basic understanding of API gateways
• OpenAPI (Swagger) specification.

Understanding of basic networking concepts

• Integration into backends via various protocols (SOAP,REST, XML-RPC etc) 
• CI/CD (Jenkins, pipelines etc)

The following additional skills would be advantageous:

• Spring reactive
• APIGEE
• Azure DevOps
• Pivotal Kubernetes
• Linux
• Azure Pipelines

• Build an algorithm for artist to detect if their music was violating copy right infringement laws

• Successfully won Techcrunch Disrupt

• Optimized an algorithm that holds the current world record for Weisman Scores

Senior Software Development Engineer - Chennai  

Who we are?  

Kaleidofin is a financial platform for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.  

In a very short time span, global investors such as Omidyar Network, Blume Ventures and well known individual investors have supported Kaleidofin’s well thought out business model with $2.8 million in seed funding.  

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.  

To know more about Kaleidofin, do visit our site https://kaleidofin.com/  

What You’ll Do?  

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:  

• Lead design and development of products working closely with business team 
• Independently own software components and co-own entire applications with a small group of fellow developers 
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance 
• Build performant, scalable, yet secure, enterprise ready back end architectures that can support millions of users in parallel 

• Establish strong engineering best practices and champion their adoption 

Who You Need To Be? 
 

• 4+ years’ experience in software product development and delivery 
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).  
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities. 
 

• All experience should be from good product development or e-commerce background. 
• Able to take ownership of working with atleast one of mobile or web app teams for complete integration with backend 
• Must have shown good stability in all your previous associations.  
• Skill set 

• Have strong backend knowledge and cloud development exposure 

• Proficiency in Java, Spring boot, Hibernate, REST API development 
• Worked with at least 1 RDBMS (Mysql preferred). NoSql is a plus. 
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place. 
• Writing high quality code which is made better by unit tests and integration tests is how you work 
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few 

• Knowledge of test driven development and AWS tech stack will be a good plus