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Senior Java Software Engineer

Senior Java Software Engineer at Gravity Engineering Services Pvt Ltd · Bengaluru (Bangalore) · 5 - 8 years · ₹18L - ₹20L / yr · Profitable · Posted 25 Sep 2026

Gravity Engineering Services Pvt Ltd's logo

Senior Java Software Engineer

aarushi Mahajan's profile picture
Posted by aarushi Mahajan
5 - 8 yrs
₹18L - ₹20L / yr
Bengaluru (Bangalore)
Skills
skill iconJava
skill iconSpring Boot
Spring Cloud
Microservices
Kafka
Prompt engineering
Caching
GenAI Integration
Apache Kafka
Large Language Models (LLM)
Generative AI (GenAI)

We are looking for a Senior Software Engineer who will be driving architectural direction, multi-team initiatives, and the development of highly scalable distributed systems. You will partner with Product, Architecture, DevOps and cross-functional engineering teams to deliver impactful technology solutions across a complex digital ecosystem. You will independently define and deliver large-scale, multi-phase projects, mentor engineers, and shape technical strategy. The role also includes leveraging LLMs and GenAI-driven tools to enhance engineering productivity, reduce cycle time, and build the next generation of internal developer experience tools.


Technical Leadership • Drive technical strategy and architecture for complex distributed systems and core platform components. • Own end-to-end delivery of high-impact, multi-team engineering initiatives. • Translate ambiguous business requirements into clear, pragmatic technical solutions. Public • Define technical roadmaps, sequence projects into phases, and ensure timely execution across teams.


Software Engineering & System Design • Architect, develop, and optimize microservices using Java, Spring Boot, Spring Cloud. • Design scalable, resilient, secure cloud-native applications using Azure/AWS. • Lead system design reviews, architecture discussions, and technical deep dives. • Solve complex cross-system issues through deep debugging, performance tuning, and root cause analysis. • Build frameworks and shared libraries to accelerate development across squads.

AI & Engineering Productivity • Champion adoption of AI-assisted development practices and LLM/GenAI tools across engineering teams to enhance workflows, improve cycle time, and automate routine tasks. • Define clear guidelines, training, and standards for effective and secure use of AI tools, including prompt engineering, code generation, and review expectations. •


Integrate AI-driven capabilities such as code generation, unit test creation, log analysis, documentation summarization, and code review assistance into the development workflow. • Establish and enforce engineering best practices for AI-generated code, including human-in-the-loop reviews, coding standards, test automation, secure coding, and design-first development. • Measure and optimize engineering productivity using AI-related metrics (cycle time, PR throughput, AI-code adoption, defect escape rate, developer satisfaction) and continuously identify opportunities to reduce bottlenecks with AI.

Collaboration & Cross-Functional Impact • Work closely with Product Owners, Architects, QE, DevOps, and peer engineering teams.

• Communicate technical trade-offs, risks, and decisions clearly to non-technical stakeholders. • Coordinate across teams to resolve dependencies and align on architectural standards.

• Influence technical direction beyond your immediate team. Team Leadership & Mentoring

• Mentor engineers across multiple teams, guiding them in design, coding, debugging, and best practices.

• Participate actively in hiring and talent development.

• Raise the engineering bar through code reviews, design critiques, and technical leadership.

• Help define and uphold engineering best practices, coding standards, and architectural principles. Ownership & Operational Excellence

• Take full ownership of systems from development to deployment, monitoring, and maintenance.

• Ensure engineering deliverables meet performance, reliability, and security criteria.

• Proactively identify areas for improvement and propose scalable, maintainable solutions.

• Lead incident response, post-mortems, and continuous improvement initiatives.  


Main Skills

Experience applying LLMs/GenAI to improve engineering productivity and developer workflows.

• Prompt engineering experience and familiarity with integrating models into applications.

• Experience with Domain-Driven Design, event-driven systems, CQRS, or enterprise integration patterns.

• Familiarity with Linux systems and container-based deployment architectures.

• Experience with application servers such as Tomcat.

• Contributions to internal platforms or open-source projects.

• Strong leadership qualities with the ability to influence without authority.

• High levels of self-motivation, ownership, and drive.

• Critical thinking abilities and a strong problem-solving mindset.

• Excellent team collaboration skills and a positive, proactive attitude.

Deep expertise in Java, J2EE, Spring, Spring Boot, Spring Cloud, and building microservices-based architectures. 

Hands-on experience with Docker, Kubernetes / OpenShift, and CI/CD pipelines.

• Strong knowledge of working with databases: Oracle, MySQL, MongoDB, Cassandra, etc.

• Experience designing and scaling systems on Azure, AWS, or Google Cloud.

• Excellent problem-solving skills, debugging capabilities, and system-level thinking. 

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About Gravity Engineering Services Pvt Ltd

Founded :
2012
Type :
Services
Size :
100-1000
Stage :
Profitable

About

We catalyze business growth by reimagining digital experiences that conquer complex challenges through innovation and agility. With our team of 300+ tech evangelists, we are building the digital infrastructure of our Partners positioning them to be the market leaders of their respective industries.
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About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

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What you will do

Technology & product leadership

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Engineering & platform management

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  • Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

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  • Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

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  • Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
  • Proven leadership in defining and executing technology strategy and platform roadmaps.
  • Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

  • Strong full-stack engineering background (Java, Python, JavaScript frameworks).
  • Expertise with JS frameworks such as React, Angular and Node.js.
  • Experience building and scaling distributed systems and microservices.
  • Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
  • Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

  • Product and delivery management expertise, end to end, including delivery and customer support.
  • Excellent communication, with the ability to influence executive stakeholders.
  • High technical proficiency combined with strong business acumen.
  • Strong analytical and decision-making skills.


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Banu S
Posted by Banu S
Pune
10 - 23 yrs
₹7L - ₹32L / yr
Java Architect
skill iconSpring Boot
Microservices
skill iconAmazon Web Services (AWS)
RabbitMQ

Skill: Java Architect

Location: Pune Baner Office

Note: Client F2F is mandate

Budget:33 LPA

Experience: 10+ Years

Mandate Skills- Cloud+ Java Architect

 

Who are we looking for?

We are looking for a Technical Architect, having strong software design and development experience of 9+ years on Core Java, Spring Boot, REST API, AWS & Microservices.

Technical Skills: 

Proficient in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Hibernate, Ajax, REST API, Microservices etc.

Working knowledge of JVM internals

Working knowledge in Mongo DB

Working knowledge of any database (MySQL or HSQLDB)

Working knowledge of No-SQL database (Mongo or Dynamo DB)

Working experience with messaging (JMS/RabbitMQ) 

R & D on new advanced cloud-based technologies in a test-driven agile development.

Experience in designing and architecting systems with high scalability and performance requirements

Ability to design infrastructure for performance evaluation and reporting of cloud-based services, namely AWS

In depth knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc.

Certification on AWS architecture desirable

Roles and Responsibilities: 

Participate and contribute in platform requirements/story development.

Contribute to the solutioning, design and design alternatives to the requirements/stories and also participate in design reviews.

Involve in Platform Sprint activities.

Development of assigned stories in appropriate languages defined for each module.

Participate in peer code reviews 

Develop use cases and do unit test cases and execute them part of continuous integration pipeline.

Understand stack deployment and resolve issues with components in stacks across the ecommerce platform.

Process Skills: 

Agile – Scrum and Test-Driven Development

Qualification:

Bachelor of Engineering (Computer background preferred)

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Anisha Jindal
Posted by Anisha Jindal
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)
7 - 12 yrs
Best in industry
skill iconJava
skill iconSpring Boot
Microservices
Generative AI
Spring MVC

About the Role

We are looking for a highly skilled Senior Java Developer with 8+ years of experience in designing, developing, and implementing enterprise-grade applications. The ideal candidate should have strong expertise in Java-based technologies along with practical experience in AI-powered applications, Generative AI, Machine Learning integrations, or AI frameworks. This role will involve working closely with cross-functional teams to build scalable, high-performance solutions leveraging modern AI technologies.


Technical Skills

  • 8+ years of hands-on experience in Java development.
  • Strong expertise in:
  • Java 8/11/17
  • Spring Boot
  • Microservices Architecture
  • RESTful APIs
  • Hibernate/JPA
  • Multithreading & Concurrency
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Solid understanding of containerization technologies such as Docker and Kubernetes.
  • Experience with CI/CD pipelines and DevOps practices.


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