Java Backend 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.

• Strong experience in Core Java, Multi-Threading, data structures (List/Map/Set) and unit testing
• with (Junit, Mockito)
•  Strong experience with Spring Framework (Spring MVC, Spring REST, Spring Data), ORM
• frameworks (JPA, Hibernate) and RDBMS (Oracle/MySQL/Postgres)
•  Strong experience in applying Object-Oriented design principles and Design Patterns
•  Good knowledge of Multi-Tier architecture, Micro Services architecture and Service Oriented
• Architecture 
•  Exposure to AWS Cloud, NoSQL Database (Mongo, Cassandra), Message Broker (Active
• MQ/RabbitMQ/Apache Kafka) and Big Data Technologies (Hadoop/Hive/Spark)
•  Additionally, must possess capability to review code, produce technical specification document
• and knowledge of code quality tools (PMD/FindBugs/Sonar)

Engineering Lead (Backend/Full stack)

About

It is a mission-oriented high-growth fintech startup building payment &

lending products to simplify education payments. Jodo’s suite of products make education payments convenient & affordable for parents while simplifying & streamlining fee collections for educational institutes. Jodo aims to be a category-defining company with a mission to be a

trusted partner to parents in fulfilling their aspirations for their kids’ education.

We are backed by marquee VC investors – Tiger Global, Elevation Capital and Matrix Partners – to realize this mission. It is started by three co-founders who have a pedigreed education

(IIT/IIM) and professional background (Nomura, Goldman Sachs, Morgan Stanley, Barclays, Matrix Partners).

🎬Job Description:

We are looking for an Engineering Leader with a focus on building maintainable and scalable applications. The Lead will be responsible for the design and development of Jodo’s fee payments platform and be owning one of the products/verticals. Leads will be closely working

with Product Managers and Founders to execute projects from ideation to completion. As a hands-on Team Lead, you will take ownership of services/systems and guide a team of

developers.

📈Key Responsibilities

● Own and drive the development of one or more of Jodo’s products

● Take the lead in the design and development of the backend platform

● Mentor a team of developers, promote collaboration and engagement, and promote practices that improve the developer experience

● Work closely with Product Managers and Founders to brainstorm requirements and prioritize

● Own quality - actively participate in code reviews

● Own reliability - continuously monitor Production Health, proactively fix production issues

● Own execution - Plan and delegate work for the team, optimize for speed of development and incremental delivery

📃Requirements

● 6+ years of hands-on experience in application development

● 1+ years of leading a team

● Experience in working with distributed systems

● Proficient in building Microservices/RESTful APIs with any modern tech stack

● Working knowledge of relational and nonrelational databases

● Prior working knowledge of Python/Django is a big plus

● Familiarity with modern CI/CD tools

● Knowledge of AWS or any other Cloud Platform services

● Champion code quality and drive best practices

● Ability to analyze and convert business requirements into technical requirements

● Self-starter and ability to take the ownership

● Prior experience working in a startup environment is great to have

● Excellent communication and interpersonal skills

🤩Benefits

● Becoming a part of the early core team

● Competitive salary

● Work with colleagues from strong backgrounds & hungry to succeed

● Opportunity to interact with and learn from high-pedigree investors & mentors -

○ VCs: Elevation Capital (erstwhile SAIF Partners), Matrix Partners

○ Select angel investors: Kunal Shah, Nithin Kamath, Amit Ranjan

🔎What are we looking for?

● Self-starter with a high sense of ownership → Comfortable to work with minimal

supervision

● Hungry to learn and grow → Passion to learn & be a better version of oneself; motivated to succeed

● Bias for action → Have the temperament to experiment and execute in uncertainty

● Hustler → Ability to generate resources to solve a problem

● Intellectual honesty → Always seeking and presenting truth irrespective of personal

POV or beliefs

● Mission-oriented → Deeply care about delivering value and making an impact on customer’s lives

✅Key Details

● Role: Engineering Lead

● Location: Bengaluru

● Compensation: Negotiable based on candidate profile (structured as Fixed + ESOPs)

● Date of Joining: ASAP

• Design, develop, implement, and maintain java application phases, code, and software.
• Conduct software analysis, programming, testing, and debugging, as well as recommending changes to improve the established processes.
• Transform requirements into stipulations and identify production and non-production application issues
• Competence and comfort using multiple frameworks (e.g. Spark, Storm, Hadoop, Angular 2/4/5, Spring Boot)
• Strong attention to detail with the ability to identify errors and make adjustments in a testing environment.

Role: Java developer
Experience: 4+ years

Job description

○ Working experience on JAVA,Spring Boot. (on building web services?)

○ NOSQL DynamoDB knowledge is plus

○ Working experience in building micro services and distributed systems

○ Working experience on using messaging queues RabbitMQ/Kafka is plus

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.

The Junior/ Senior Software Engineer will be a member of the development team for Supply Chain Application module suite. The Supply Chain modules includes components at various layers, including server-side, integration, supply chain planning engines and user-interface. This individual will be responsible for participating in module development and providing technical assistance to junior members of the team.

Experience and Skills:

• 4-10 years of of experience in writing software
• Strong analytical problem solving skills
• Strong Object Oriented Programming Skills. Good understanding of data structures and algorithms.
• Extensive knowledge of the Java programming language
• Understanding of software design patterns, J2EE components (EJB, JSP, Servlets), and XML
• Experience with relational databases (preferably Oracle) and Object/Relational frameworks. Should be able to write SQL queries, procedures, triggers and do basic performance tuning.
• Experience with C++ is a plus.
• Functional knowledge of supply chain management domain.
• Prior experience in development or consulting with an enterprise software vendor – preferably in supply chain planning or forecasting area.
• Experience with enterprise integration patterns & protocols, including SOAP, REST, JMS, EDI is a plus.
• Experience writing build & deployment scripts (e.g. Ant)
• Excellent communication (verbal and written) and interpersonal skills
• Systems implementation skills: requirements/process analysis, conceptual and detailed design, configuration, testing, training, support
• Some experience with a scripting language such as Python or Ruby preferred
• Some experience with newer web client technologies such as AJAX, EXTJS preferred.

Essential Functions:

• Producing design documents based on a requirements document and participating in design reviews
• Producing effort estimates
• Writing code, automated unit and functional tests, and build/deployment scripts
• Participating in code reviews
• Executing performance/scalability tests & profiling hotspots
• Collaborating with QA, Technical Operations and Production Support during the various phases of a project

Education:

BE/ BTech/ ME/ MTech in Engineering, Computer Science