Software Developer (Java/ Microservices)

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.

  Minimum 3+ Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Fork joins pool and other threading concepts)

·       Good knowledge of the JVM with an understanding of performance and memory optimization.

·       Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·       Excellent knowledge on collections like, Array List, Vector, LinkedList, HashMap, Hash Table, HashSet is mandate.

·       Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·       Expert level understanding of Object-Oriented Concepts and Data Structures

·       Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

• Participate in requirements analysis and design 
• Development of Web applications and RESTful APIs using C#, .NET Core, ASP.NET Core, .NET Framework 4.7, C#, ASP.NET MVC, LINQ, Entity Framework 6.0, EF Core
• Development of Microservices using Clean Architecture, CQRS, .NET Design Patterns, SOLID Principles and Object-oriented design & analysis (OOA & OOD)
• Development of Microservices using Microsoft Azure or AWS, Dockers and Kubernetes
• Write clean, scalable code using .NET programming languages (C#)
• Write Microsoft SQL queries and optimize both external and internal DB processes and procedures.
• Use automation tools, following CI/CD best practices in an established DevOps team.
• Write unit and integration tests using Moq
• Collaborate with internal teams to produce software design and architecture
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support  

Job Description

Job Summary

• BS/BE/BCA/MSC/MCA degree in Computer Science, Engineering or a related subject
• Hands on experience is preferable in designing and developing applications using Java EE platforms
• Object oriented analysis and design using common design patterns.
• Profound insight of Java and J2EE internals
• Excellent knowledge of Relational Databases and SQL
• Experience in developing web applications using at least one popular web framework (JSF, HTML5, MVC)
• Knowledge on Micro services, Containers / Docker would be added advantage.
• Knowledge on data science would be preferred.
• Exposure to building API, rest service and webservices.
• Exposure to open source like Tensor flow, NIFI, Stream pipes etc.,
• Experience with test-driven development
• Good communication skills and client-oriented attitude
• Organized and detail-oriented person
• Problem solving skills, analytical mind and positive attitude
• Results oriented and focused on meeting deliverable timelines
• Availability to travel, if needed
• Fluency in English is a must

Responsibilities and Duties

• Design and develop features and modules for mission-critical applications
• Build modules on MES products like (SAP, Apriso, Rockwell etc.,)
• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies

Required Experience, Skills and Qualifications
2 - 5 years of hands-on Software Development experience using the below mentioned Technologies

• Java / J2EE
• EJB, JSF, Servlets
• HTML, HTML5
• SQL server / Oracle
• Json, webservice and etc.

Benefits

• Candidate would be Trained on SAP modules.
• Industry best pay.

Job Type: Full-time

JD as below:

Java Developer

Strong in Java8 with Microservices + Spring Boot, Hibernate, JPA Exposure to MySQL

Only Immediate joiner or Serving

GaragePlug Inc

GaragePlug is one of the fastest-growing Automotive tech startups working towards revolutionising the automotive aftermarket industry with strong state-of-the-art technologies.

Position: Backend Developer (Java Spring Boot)

As we plan to grow, we have many challenges to solve. Some of the new features and products that are already in the pipeline include advanced analytics, search, reporting etc., to name a few. Our present backend is based on the microservices architecture built using Spring Boot. With growing complexity, we are open to using other tools and technologies as needed.

We are looking for a talented and motivated engineer to join our fleet and help us solve real-world problems in this exciting field. Join us and share the dream of building the next generation online platform for the Auto industry.

Experience: 1+ years of experience

What you'll do :

• End to end systems development
• Ownership of complete systems from development to production and maintenance
• Infrastructure management on AWS
• Technologies you'll use :
• Microservices, AWS, Java, Spring-boot
• Nginx
• PostgreSQL, Redis
• ElasticSearch
• Gradle / Maven
• Any cool piece of technology that you can bring onboard.
•  

What you are :

• You love technology and are always open to learning new tools
• You are a self-starter
• You are proficient in Java, SQL
• You have good knowledge of Databases: RDBMS/Document
• You have worked with server technologies: Spring / Dropwizard / Tomcat/Spring Boot
• You have a good understanding of REST API design
• You believe in clean and maintainable code

Location Fully Remote / Bangalore

Apply through this link
 https://garageplug.freshteam.com/jobs/H-qGPrivc4pt/backend-engineer-2" target="_blank">https://garageplug.freshteam.com/jobs/H-qGPrivc4pt/backend-engineer-2

• Expertise in software design and development.
• Proficiency with at least one Object Oriented language(e. g. Java)
• Experience with building high-performance, highly available and scalable distributed systems
• Experience with API Design, ability to architect and implement an intuitive customer and third-party integration story.

We at Spiral Dev Apps are looking for a Android Developer who can lead the full project of android app, right from initializing the app from scratch and putting it on the Play store. Can do attitude in startup environment is a must Quality that we look for, You need to find answers on your own without handholding.

Skills Required:
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
• An Android app developer must be well-versed with the Java programming language.
• Strong knowledge of Android UI design principles, patterns, and best practices
• Having knowledge about offline storage, threading, and performance

Profile: Android Developer
Experience: 1 to 5 years
Immediate joiner preferred
Excellent Communication Skills
Good salary hike

• should have at least 5 years of hands-on experience in backend software development using Java.
• should have proven expertise in Spring Boot REST/Microservices.
• should have used design patterns like MVP, MVC or MVVM and should know when to use which.
• should have working experience with relational and NoSQL databases.
• should have multiple years of experience with cloud application design  and in one or more reputable cloud platform providers (e.g. AWS, GCP, Microsoft Azure … )
• should have professional experience working in an agile development environment.
• should have strong communication skills and like making decisions.
• should follow good software engineering principles such as TDD, writing modular, maintainable and clean code