Java Backend Developer

Job Summary

We are looking for a Senior Backend Engineer with strong experience in Java, Spring Boot, and Microservices architecture. Candidates with server-side Kotlin development experience are highly preferred. Strong software engineering fundamentals, REST API development expertise, and experience building enterprise-scale applications are essential.

The ideal candidate should be passionate about clean code, testing, scalability, and product/platform engineering.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java and/or Kotlin.
• Build and enhance RESTful APIs and microservices-based applications.
• Develop high-performance, secure, and reliable enterprise applications.
• Participate in system design, architecture discussions, and technical decision-making.
• Write clean, maintainable, and well-tested code following industry best practices.
• Implement and maintain automated unit tests, integration tests, and other testing strategies.
• Collaborate with Product, Engineering, and DevOps teams to deliver high-quality solutions.
• Troubleshoot production issues and optimize application performance.
• Mentor junior developers and contribute to engineering excellence initiatives.

Required Skills

• 6–8+ years of backend development experience.
• Strong proficiency in Java.
• Experience with server-side Kotlin (preferred) or willingness to learn and work extensively in Kotlin.
• Hands-on experience with Spring Boot and Microservices architecture.
• Strong experience developing REST APIs.
• Experience building enterprise-grade applications.
• Good understanding of software design patterns and object-oriented programming principles.
• Strong knowledge of unit testing frameworks such as JUnit, Mockito, or equivalent.
• Experience with Test-Driven Development (TDD) is highly desirable.
• Knowledge of CI/CD pipelines and version control systems such as Git.
• Experience working with relational and/or NoSQL databases.

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.

Auriga IT, founded in 2010, is a trusted digital solution partner based in Jaipur. They bring together design, technology, and data capabilities to help organizations launch new businesses and drive transformation in the digital age. Their offerings include user experience and design, digital product development, enterprise applications and modernization, process automation, ERP and CRM implementation, and data science.

Auriga has a strong track record of providing tailor-made IT solutions and services to clients both in India and overseas. They have worked with notable companies such as Meta, Yes Bank, Zomato, Grofers, and Ola. The team at Auriga is composed of young and passionate software professionals who are experienced in client and server-side coding, database management, open-source technologies, and API integrations.

With a focus on meaningful and innovative work, the team at Auriga collaborates to build incredible products and services for clients. They strive for high-quality standards and pursue success together.

Connect with us: https://www.aurigait.com/#contact-us

Role Description:

This is a full-time on-site role for a Java Software Engineer at Auriga IT in Jaipur. The Java Software Engineer will be responsible for software development, creating microservices, programming, and utilizing the Spring Framework. They will work on developing Java-based applications and implementing software solutions.

Qualifications:

• Software development, microservices, and programming skills
• Experience with the Spring Framework and Java
• Strong problem-solving and analytical thinking skills
• Knowledge of database systems and SQL
• Experience with version control systems (e.g., Git)
• Familiarity with Agile development methodologies
• Excellent communication and collaboration skills

Please find below updated JD for Java requirement.

-Work with a performance-oriented team driven by ownership and open to experiment.

• -6+ years of Java advanced software development experience, with concurrent (multi-threaded) programming highly desirable.
• -Strong experience on Core Java 8, Java EE, Spring Boot, Maven and Docker including Multi-threading.

.          -Strong problem solving skills, computer science fundamentals, data structures and algorithms.

• -Hands on experience with any SQL Database.
• -Ability to learn new technologies like ELK, stack, redis etc.
• -Must have expert level knowledge in Java, Springboot.
• -Must have knowledge or hands on experience in microservices, apache kafka and distributed caching.

.           -Experience in distributed/scalable systems

• -Strong knowledge of design patterns and software engineering best practices.
• -Familiarity with standard development tools and processes: Git, Eclipse, JUnit test, debugging, profiling, etc.

.           -Familiarity with CI/CD and DevOps

.           -Strong knowledge and previous experience in end-to-end design, development and subsequent

             support of large-scale data processing systems

.           - Familiarity and confidence working in an agile development environment.

.           - Good Problem solving skills

• - Good oral and written communication skills.
• - Strong debugging skills.

Not just a delivery company…

RaRa Delivery is revolutionising instant delivery for e-commerce in Indonesia through data driven logistics.

RaRa Delivery is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimisation technology. RaRa makes it possible for anyone, anywhere to get same day delivery in Indonesia. While others are focusing on ‘one-to-one’ deliveries, the company has developed proprietary, real-time batching tech to do ‘many-to-many’ deliveries within a few hours.. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan and many more.

We are a distributed team with the company headquartered in Singapore 🇸🇬 , core operations in Indonesia 🇮🇩 and technology team based out of India 🇮🇳

Future of eCommerce Logistics.

• Data driven logistics company that is bringing in same day delivery revolution in Indonesia 🇮🇩
• Revolutionising delivery as an experience
• Empowering D2C Sellers with logistics as the core technology

• 5 - 7 years Experience with the following technologies: Core Java/J2EE, Spring Boot, Creating API, Hibernate, JDBC, SQL/PLSQL, messaging architecture, REST/Web services, Linux
• Expertise in application, data and infrastructure architecture disciplines
• Advanced knowledge of architecture, design and business processes
• 4+ years of Java, J2EE development experience
• Strong technical development experience in effectively writing code, performing code reviews, and implementing best practices on configuration management and code refactoring
• Experience in working with vendor applications
• Experience in making optimized queries to MySQL database
• Proven problem solving and analytical skills
• A delivery-focused approach to work and the ability to work without direction
• Experience in Agile development techniques, including Scrum
• Experience implementing and/or using Git
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
• Bachelor degree in Computer Science or related discipline preferred

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

• As a polyglot developer Ideally, you should have:
• 1.5+ years of development experience using any of technology java, scala, python or any similar exciting technologies.
• Hands-on experience in coding, and implementation of complex, custom-built applications Working knowledge of build tool like maven/sbt and code versioning systems like git/bitbucket/cvs/svn
• Familiarity with few databases, like MySQL, Oracle, PostgreSQL, SQL Server, NoSQL etc Great OO skills, including strong design patterns knowledge
• Good communication and ability to work in a consulting environment is essential

• Think through hard problems in a consultancy environment, and work with amazing people to make the solutions a reality Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience
• Build custom software using the latest technologies and tools Craft your own career path

• Providing solution to real problems in Bigdata world.
• RnD on using the latest tools,techniques and cloud services.
• Automating the manual-timetaking tasks.
• Hands-on coding, usually in a pair programming environment.
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments
• Understanding the business domain deeply