Java Camunda Full stack 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.

Required Skills: CI/CD Pipeline, Data Structures, Microservices, Determining overall architectural principles, frameworks and standards, Cloud expertise (AWS, GCP, or Azure), Distributed Systems

Criteria:

• Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.
• Candidate must be from a product-based organization with a startup mindset
• Must be strong in one core backend language: Node.js, Go, Java, or Python.
• Deep understanding of distributed systems, caching, high availability, and microservices architecture.
• Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.
• Strong command over system design, data structures, performance tuning, and scalable architecture
• Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

Description

What This Role Is All About

We’re looking for a Backend Tech Lead who’s equally obsessed with architecture decisions and clean code, someone who can zoom out to design systems and zoom in to fix that one weird memory leak. You’ll lead a small but sharp team, drive the backend roadmap, and make sure our systems stay fast, lean, and battle-tested.

What You’ll Own

● Architect backend systems that handle India-scale traffic without breaking a sweat.

● Build and evolve microservices, APIs, and internal platforms that our entire app depends on.

● Guide, mentor, and uplevel a team of backend engineers—be the go-to technical brain.

● Partner with Product, Data, and Infra to ship features that are reliable and delightful.

● Set high engineering standards—clean architecture, performance, automation, and testing.

● Lead discussions on system design, performance tuning, and infra choices.

● Keep an eye on production like a hawk: metrics, monitoring, logs, uptime.

● Identify gaps proactively and push for improvements instead of waiting for fires.

What Makes You a Great Fit

● 6+ years of backend experience; 1–2 years leading engineers or owning major systems.

● Strong in one core language (Node.js / Go / Java / Python) — pick your sword.

● Deep understanding of distributed systems, caching, high-availability, and microservices.

● Hands-on with AWS/GCP, Docker, Kubernetes, CI/CD pipelines.

● You think data structures and system design are not interviews — they’re daily tools.

● You write code that future-you won’t hate.

● Strong communication and a let’s figure this out attitude.

Bonus Points If You Have

● Built or scaled consumer apps with millions of DAUs.

● Experimented with event-driven architecture, streaming systems, or real-time pipelines.

● Love startups and don’t mind wearing multiple hats.

● Experience on logging/monitoring tools like Grafana, Prometheus, ELK, OpenTelemetry.

Why company Might Be Your Best Move

● Work on products used by real people every single day.

● Ownership from day one—your decisions will shape our core architecture.

● No unnecessary hierarchy; direct access to founders and senior leadership.

● A team that cares about quality, speed, and impact in equal measure.

● Build for Bharat — complex constraints, huge scale, real impact.

Job Summary

We are seeking an experienced Java + Kafka Developer to design, develop, and maintain high-performance, event-driven applications. The ideal candidate will have strong backend development skills in Java and hands-on experience with Apache Kafka for building scalable, real-time data processing systems.

Key Responsibilities

• Design and develop event-driven microservices using Java and Apache Kafka
• Build and maintain Kafka producers, consumers, topics, and streams
• Implement message processing, retries, error handling, and idempotency
• Develop and integrate RESTful APIs
• Ensure high availability, scalability, and performance of Kafka-based systems
• Monitor, troubleshoot, and optimize Kafka and application performance
• Collaborate with architects, DevOps, and QA teams
• Participate in code reviews and follow best practices
• Contribute to system design and technical discussions

Required Skills

• 6+ years of experience in Java backend development
• Strong hands-on experience with Apache Kafka
• Experience with event-driven and streaming architectures
• Solid understanding of microservices architecture
• Experience with REST APIs
• Good knowledge of multithreading, concurrency, and JVM concepts
• Familiarity with SQL / NoSQL databases
• Strong problem-solving and debugging skills

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

Professional Requirements:

• 2-8 Years professional development experience.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
• Good understanding of data structures and algorithms.
• Good understanding of high level and low-level design of distributed systems.
• Experience coding in any one of the following Java or Nodejs.
• Experience building highly available distributed systems on cloud infrastructure will be plus.
• Exposure to architectural pattern of a large, high-scale web application.

Requirement/responsibilities: To take a project from scoping requirements through launch of the project. Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the and implementation. Management and execution against project plans and delivery commitments. Participate in design and code reviews.

An opportunity to revolutionize the restaurant industry

Here, at Rebel Foods, we are using technology and automation to disrupt the traditional food industry. We are focused on building an operating system for Cloud Kitchens - using the most innovative technologies - to provide the best food experiences for our customers. 

You will enjoy working with us, if:

• You are passionate about using technology to solve customer problems
• You are a software craftsman or craftswoman who is obsessed with high quality software
• You have a flair for good design and architecture
• You are unafraid of rearchitecting or refactoring code to improve it
• You are willing to dive deep to solve complex software issues
• You are a teacher and mentor

Our technology ecosystem:

• Languages: Java, Typescript, Javascript, Ruby
• Frameworks, environments: Spring Boot, NodeJS, ExpressJS
• Databases: AWS Aurora MySQL, MongoDB
• Cloud: AWS
• Microservices, Service Oriented Architecture, REST APIs, Caching, Messaging, Logging, Monitoring and Alerting
• CI/CD and DevOps
• Bitbucket, Jira

You will mostly spend time on the following:

• Leading the design and implementation of software systems
• Driving engineering initiatives across teams with a focus on quality, maintainability, availability, scalability, security, performance and stability
• Writing efficient, maintainable, scalable, high quality code
• Reviewing code and tests
• Refactoring and improving code
• Teaching and mentoring team members

We’re excited about you if you have:

• At least 8 years of experience in software development, including experience building microservices and distributed systems
• Excellent programming skills in one or more languages: Java, C#, C++, Typescript, Javascript, Python or Ruby
• Experience working in Cloud environments: AWS, Azure, GCP
• Experience building secure, configurable, observable services
• Excellent troubleshooting and problem-solving skills
• The ability to work in an Agile environment
• The ability to collaborate effectively within and across engineering, product and business teams

We value engineers who are:

• Crazy about customer experience
• Willing to challenge the status quo and innovate
• Obsessed with quality, performance and frugality
• Willing to take complete responsibility and ownership of results
• Team players, teachers, mentors

We’re looking for a Senior Backend Engineer to help us build the tools, services, and applications that will enable us to be the planet’s most patient-focused pharmacy. You will work on projects ranging from greenfield initiatives to matured products with an active user base. 

• Collaborate with engineering team to design and implement products using event driven micro-services architecture.
• Interact with Product Managers and key stake-holders on regular basis to understand and execute Product vision.
• Take charge of end-to-end feature development, right from proof-of-concept to production deployment and support
• Brainstorm and lead continuous improvement projects for product
• Providing feedback to peer developers on code quality and development standards.
• Mentoring team on strong coding and design standards.
• Setting the bar high for development practises while striking the right balance between pragmatism and perfection for code and processes.
• Effectively document API's and services using Swagger/OpenAPI, visualize flow and dependencies using diagrams, and create technical documents on engineering wikis.
• Present crisp and clear feature demos to stakeholders.

Some of our opensource projects- https://meet.google.com/linkredirect?authuser=0&;dest=https%3A%2F%2Fgithub.com%2Fmedly">https://github.com/medly

We don’t expect anybody to be an expert on all of these, but you should be deeply familiar with some, and a self-starting learner who isn’t afraid to ask for help:

• Polyglot Development (at least 1 more lang apart from Java and JavaScript)
• At least one JVM language
• Functional Programming, 
• OO Design, Clean Code, SOLID principles
• Solid grasp on HTTP, and REST
• Web based SaaS product development
• Deployment to AWS or any cloud
• Test Driven Development, 
• Security Compliance like HIPAA, PCI-DSS, SOC2
• Git, Linux, CI/CD, Gradle, IDEA
• Security based on OAuth2 / OIDC
• SQL and NoSQL DBs like PostgreSQL, DynamoDB, ElasticSearch
• Docker
• SQL Migration tools like Liquibase, Flyway
• Semantic Versioning, Feature Toggles, PR, Feature Branches

• 3+ Years of experience mainly on Backend Development using any two languages (Java, Kotlin, NodeJS, Ruby etc.)
• Minimum a bachelor degree in Computer Science, Engineering or any related field.

• Develop service/APIs using Kotlin/Micronaut Node/Serverless
• Aurora Serverless PostgreSQL DB
• AWS, Lambda, API Gateway, Amplify, Cognito, Okta
• Github, Github Actions, SonarCloud
• Database versioning using tools like Liquibase
• Terraform to manage infra
• Cloudwatch/AWS X-Ray to monitor the infra
• Opportunity to make Open Source Contribution