Tech Lead for Backend Development (Java / Springboot)

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 Summary:

We are seeking a dynamic and highly skilled Full Stack Developer with 3-5 years of experience to join our client's team. The ideal candidate will be working with a leading MNC client in the health insurance domain. This role is based in Gurugram and requires candidates to work from the office, Monday to Friday. You will play an integral role in developing and enhancing applications using Node.js, TypeScript, PostgreSQL, and MongoDB.

Responsibilities:

• Design, develop, and maintain scalable applications using Node.js and TypeScript.
• Build and optimize RESTful APIs and backend services.
• Collaborate with cross-functional teams to deliver high-quality products and services.
• Work with PostgreSQL and MongoDB databases for efficient data management and retrieval.
• Ensure the performance, quality, and responsiveness of applications.
• Troubleshoot, debug, and upgrade existing systems and platforms.
• Implement best practices for security, code quality, and performance optimization.
• Participate in code reviews and provide mentorship to junior developers.

Requirements:

• Experience: 3-5 years of hands-on development experience with Node.js, TypeScript, PostgreSQL, and MongoDB.
• Technical Skills:
• Proficiency in Node.js and TypeScript for building scalable web applications.
• Strong experience working with PostgreSQL and MongoDB databases.
• Hands-on experience in building RESTful APIs and microservices architecture.
• Knowledge of best practices in application development, security, and performance tuning.
• Familiarity with version control tools like Git.
• Preferred:
• Experience in the health insurance or fintech domain.
• Ability to work in an agile environment with fast-paced deliverables.
• Excellent communication and collaboration skills.

Soft Skills:

• Strong problem-solving skills and ability to troubleshoot complex issues.
• Ability to work in a team and independently when required.
• Adaptability and willingness to learn new technologies.

Backend - Software Development Engineer III

Experience - 7+ yrs

About Wekan Enterprise Solutions

Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.

Job Description

We are looking for passionate software engineers eager to be a part of our growth journey. The right candidate needs to be interested in working in high-paced and challenging environments leading technical teams, designing system architecture and reviewing peer code. Interested in constantly upskilling, learning new technologies and expanding their domain knowledge to new industries. This candidate needs to be a team player and should be looking to help build a culture of excellence. Do you have what it takes?

You will be working on complex data migrations, modernizing legacy applications and building new applications on the cloud for large enterprise and/or growth stage startups. You will have the opportunity to contribute directly into mission critical projects directly interacting with business stakeholders, customers technical teams and MongoDB solutions Architects.

Location - Chennai or Bangalore

• Relevant experience of 7+ years building high-performance back-end applications with at least 3 or more projects delivered using the required technologies
• Good problem solving skills
• Strong mentoring capabilities
• Good understanding of software development life cycle
• Strong experience in system design and architecture
• Strong focus on quality of work delivered
• Excellent verbal and written communication skills

Required Technical Skills

• Extensive hands-on experience building high-performance web back-ends using Node.Js and Javascript/Typescript
• Min two years of hands-on experience in NestJs
• Strong experience with Express.Js framework
• Implementation experience in monolithic and microservices architecture
• Hands-on experience with data modeling on MongoDB and any other Relational or NoSQL databases
• Experience integrating with any 3rd party services such as cloud SDKs (Preferable X), payments, push notifications, authentication etc…
• Hands-on experience with Redis, Kafka, or X
• Exposure into unit testing with frameworks such as Mocha, Chai, Jest or others
• Strong experience writing and maintaining clear documentation

Good to have skills:

• Experience working with common services in any of the major cloud providers - AWS or GCP or Azure
• Technical certifications in AWS / Azure / GCP / MongoDB or other relevant technologies

We are seeking an experienced Senior Java Developer specializing in Spring Boot and Apache Camel to join our team. This individual will be responsible for designing, developing, and implementing robust, scalable, and high-performance applications. You will work on complex projects and integrations, leveraging Spring Boot and Apache Camel to streamline business processes and message routing.

Key Requirements:

• 5+ years of experience in Java Development, specifically with Spring Boot.
• Proven experience in using Apache Camel for integrating distributed systems.
• Solid understanding of microservices architecture and RESTful API development.
• Proficiency in Java-based middleware technologies.
• Strong knowledge of message queues (e.g., RabbitMQ, ActiveMQ, Kafka) and their integration with Apache Camel.
• Experience with cloud services such as AWS, Azure, or GCP is a plus.
• Familiarity with CI/CD pipelines and automated deployment processes.
• Experience with Agile development methodologies.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, both written and verbal.

Bonus Skills:

• Experience with Docker and Kubernetes for containerization and orchestration.
• Knowledge of Apache Kafka for event streaming.
• Experience with modern development tools like Git, Jenkins, and JIRA.

What We Offer:

• A dynamic and collaborative work environment.
• Opportunities for career advancement and skill development.
• Flexible working hours and the ability to work remotely.
• Competitive salary and benefits.

• Design, develop, test, deploy, maintain, and improve software and new user-facing features across Novo’s products and services.
• Drive technical decisions on a multi-functional, Agile team alongside product management, product design, and engineering.
• Optimize applications for maximum speed and scalability and analyze feedback from customers and internal teams to identify issues and improvement opportunities. 
• Champion a passion for engineering best practices such as code quality, linting, and testing.
• Ensure our software is reliable, extensible, maintainable, debuggable, secure, well-tested and performs well under load.
• Mentor junior engineers in all aspects of planning, development and testing.
• Stay engaged with latest technologies and evaluate strategies to keep the Novo technology stack up to date.

• 5+ years experience in a highly technical role at a hyper-growth startup or fast-paced company.
• Extensive background designing, developing, testing, deploying, maintaining, and improving software.
• Good understanding of Node.js & Javascript.
• Demonstrated ability to translate business goals and initiatives into technical requirements.
• Strong understanding of SQL database.
• Demonstrable experience architecting scalable and cost effective solutions to ensure and support customer growth.
• Experience mentoring junior engineers in all aspects of planning, development and testing.
• Strong understanding of system design and architecture.
• Interest in engaging with latest technologies and evaluating strategies to keep the Novo technology stack up to date.
• Excellent written and verbal communication skills with the ability to collaborate with both technical and non-technical teams effectively.

What You'll Do


You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:

• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable data modeling, data queries and API development for both back-end and front-end data interfaces.
• You will support client specific data processing needs using SQL and Python/Pyspark
• You will integrate our product with other data products through Django APIs
• You will partner with other team members in understanding the functional / non-functional business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions

Who you are


• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in data queries, data processing and data modeling
• Excellent ANSI SQL skills to handle complex queries
• Excellent Python and Django programming skills.
• Strong knowledge and experience in modern and distributed data stack components such as the Spark, Hive, Airflow, Kubernetes, Docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Familiarity with ML models is highly preferred
• Experience with Big Data processing and performance optimization
• Should know how to write modular, optimized and documented code.
• Should have good knowledge around error handling.
• Experience in version control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.

Good to have some exposure to

• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams

What You'll Love About Us – Do ask us about these!

• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors

Overview

At Netradyne, we are revolutionizing the conventional mapping paradigm with our Dynamic mapping technology. Our unique approach leverages computer vision, Edge Computing, and crowd sourcing to deliver rich, highly accurate content in real-time, critical to the successful development of maps

What you will be doing ?

You will work in a fast-paced environment including multiple platforms, architectures, and technologies. You will be responsible for

• Development of various cloud/web components to ingest, process, transform and visualize data at scale.
• Contribute to algorithm development and automated evaluation for measuring quality.
• Follow engineering best practices (unit testing, continuous delivery etc.)
• Deployment and monitoring of production ready infrastructure

Skills

• Strong analytical and problem-solving skills.
• 3-7 years strong programming experience in Python/Java .
• Hands on knowledge in at least one MVC and ORM frameworks.
• Familiar with at least one frontend framework i.e. React/ Angular
• Working knowledge of at least one RDBMS or NoSQL database.
• Exposure to Geospatial databases and tools like Qgis,OSM will be a plus

• IMMEDIATE JOINEE.
• Work with other engineers to develop and test tools and applications used by team on daily basis
• Play a significant role in the ongoing evolution and refinement of current tools and applications
• Triage, troubleshoot, escalate and provide resolution to production issues.
• Reproduce, document and escalate product defects to the Engineering Team.
• Provide well-thought out and reliable direction, both in technical and non-technical terms, to help customers.
• Take ownership of customer issues, including initial troubleshooting, identification of root cause and issue resolution or escalation.
• Identify and escalate priority issues that need immediate attention.
• Collaborate with cross functional teams which requires strong presentation skills and attention to details
  
  
• BA/BS degree in Computer Science or related technical field or equivalent work experience. MS degree is preferred.
• 9+ years development experience in JAVA (using OO Design and Analysis, Design Patterns, etc.)
• High experience in Java 8 Required.
• 4+ years’ experience building highly scalable, distributed and reliable Restful Web Services using Spring, Jersey, etc.
• Should have knowledge on Cloud applications preferably on AWS.
• Knowledge on building Front end applications using JavaScript, AngularJS, HTML5, CSS3.
• Experience with relational DBs like MySQL and NoSQL Database like MongoDB, Solr/Lucene will be a plus.
• Experience with Tomcat, Jax-RS, REST, JPA, IntelliJ, Groovy, Hibernate is must.
• Experience with build technologies like Gradle, Jenkins will be a plus.
• Experience with Test Driven Development using TestNG/Junit testing frameworks.
• Experience working with version control like GIT.