Java+Spring Boot developer

We are looking for Java Developers with 5+ years of experience for Bangalore and Mumbai locations.

Key Requirements:

• 5+ years of experience in Java development
• Strong hands-on experience in Core Java
• Strong understanding of Data Structures, Algorithms, and Problem Solving
• Good experience in Multithreading / Concurrency
• Exposure to or awareness of AI / LLM concepts
• Candidate should be an Immediate Joiner
• Must be available for a Face-to-Face interview
• Candidate should be open to attending the interview in Mumbai or Bangalore

Locations:

• Mumbai
• Bangalore

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.

Responsibilities :

• Lead the development of the backend systems for our client's first product.
• Build reliable, secure, and performant backend systems.
• Drive test coverage and continuous delivery automation within the team.
• Mentor and provide feedback to teammates.
• You should have a min of 8 years of software development experience and management.
• Can write code that is readable, maintainable, secure, and performant.
• Know the importance of tests and how to approach writing different types of tests, good intuition for REST API design
• Deep understanding of relational databases, transactions, entity-relationship modeling.
• Comfortable writing highly concurrent systems.
• Experienced in using profilers, tuning garbage collection, optimizing SQL queries.

• Golang, Java, Python, Ruby, Node.

We prefer candidates who can attend a walk-in interview and join immediately.

Job Description: Senior Java Developer with Leadership Experience

Position: Lead Developer

Experience: 5-8 Years

Location: Noida

Job Type: Full-time

Overview:

We are seeking a highly skilled and experienced Senior Java Developer to join our dynamic team. The ideal candidate will have a minimum of 5 years of experience in Java development, with a strong focus on leadership and team management. This role requires a proactive individual who can guide others, provide instant solutions, and ensure the successful completion of technical projects.

Key Responsibilities:

• Team Leadership: Lead, mentor, and manage a team of Java developers, fostering a collaborative and productive work environment.
• Project Management: Oversee the planning, execution, and delivery of projects, ensuring they are completed on time and within budget.
• Technical Guidance: Provide expert guidance on Java, JSP, Servlets, Spring Boot, and Hibernate, ensuring best practices and high-quality code standards.
• Problem Solving: Quickly identify, analyze, and resolve technical issues, providing instant and effective solutions.
• Code Review: Conduct regular code reviews to maintain code quality, performance, and security.
• Server Management: Manage server configurations, deployments, and troubleshooting to ensure optimal performance and uptime.
• Collaboration: Work closely with cross-functional teams, including QA, DevOps, and Product Management, to align development activities with business goals.
• Continuous Improvement: Stay updated with the latest industry trends and technologies, and continuously improve development processes and practices.
• Documentation: Ensure comprehensive documentation of all technical specifications, project plans, and procedures.

Qualifications:

• Education: Bachelor’s degree in Computer Science (tier 1/2), Information Technology, or a related field.
• Experience: Minimum of 5 years of hands-on experience in Java development, Minimum 1 year experience in leading Team

Technical Skills:

• Proficiency in Java, JSP, Servlets, Spring Boot, and Hibernate.
• Strong understanding of server-side technologies and server management.
• Experience with version control systems like Git.
• Familiarity with database management systems, particularly SQL.
• Fluency in English
• Leadership Skills: Proven experience in leading and managing development teams.
• Problem-Solving Skills: Strong analytical and problem-solving abilities.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Benefits:

● Provident Fund

Schedule:

● Day shift

● Fixed shift

● Monday to Friday

● Morning shift

Job Overview

We are looking for a talented Senior Backend Developer to join our team in developing backend servicing. As a key member of our development team, you will be responsible for cross-functional teams to design, develop, and maintain backend services and APIs using Node.js. The ideal candidate is passionate about distributed systems, has experience with backend services and is excited about optimising applications for performance, scalability, and reliability.

Responsibilities:

• Design, develop, and maintain backend services and APIs using Node.js.
• Collaborate with cross-functional teams to define requirements, architect solutions, and implement features.
• Write clean, modular, and maintainable code following best practices and coding standards.
• Optimise applications for performance, scalability, and reliability.
• Implement security measures to ensure data privacy and integrity in backend systems.
• Troubleshoot and debug issues to ensure smooth operation of production systems.
• Perform code reviews to maintain code quality, consistency, and adherence to coding standards.
• Stay updated with the latest trends and technologies in backend development, Node.js, and related ecosystems

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in backend development, with at least 4 years of experience using Node.js.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with web frameworks such as Express.js.
• Proficiency in building RESTful APIs and microservices architecture.
• Familiarity with relational and NoSQL databases (e.g., MongoDB, PostgreSQL).
• Solid understanding of asynchronous programming and event-driven architectures.
• Experience with version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Ability to work independently and in a team environment, with excellent communication skills.

We are looking for a PHP Developer responsible for managing back-end services and the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities

• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable PHP modules
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Java / J2ee Development environments
• Eclipse or similar tooling
• Very Strong Web front end development including JavaScript, Angular, React, etc.
• Develop REST based microservices using Spring, SpringBoot, SpringCloud, SpringListener, SpringMVC, JavaScript, HTML, XML, JUNITS Cloud, container image development and container orchestration

Skills Required:

• Angular, Spring Springboot, SQL Server

Experience Preferred:

• Looking for a full stack developer with Strong Front end experience, Spring Springboot, SQL Server, GCP

Java, J2EE, Spring Boot, REST services, PostgreSQL

Experience with Elastic Search or any NoSQL DB is preferable

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce