Sr./Staff Backend Engineer - Java in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr./Staff Backend Engineer - Java based in India.

This is an opportunity to build and evolve the core backend infrastructure behind a global AI-powered SaaS platform.
You will design highly scalable, reliable, and low-latency services using Java and AWS in a distributed environment.
The role combines hands-on engineering with system optimization, technical problem-solving, and architectural thinking.
You will collaborate closely with product, frontend, and QA teams to deliver robust solutions for enterprise customers.
You will also contribute to engineering excellence through CI/CD, observability, testing, and modern development practices.
At senior/staff level, you will have meaningful ownership and help guide other engineers through technical mentorship.
The environment is remote-first, engineering-led, and focused on solving complex problems at the intersection of AI, finance, security, and large-scale data systems.

• Design, develop, and maintain scalable, high-performance, low-latency backend services using Java and AWS technologies.

• Collaborate with product management, frontend, QA, and other cross-functional teams to define technical requirements and deliver integrated solutions.

• Optimize existing services for performance, reliability, scalability, maintainability, and efficient resource utilization.

• Identify system bottlenecks and proactively resolve technical issues affecting stability or performance.

• Implement and maintain software engineering best practices covering code quality, automated testing, deployment, and CI/CD.

• Monitor backend service health and performance, investigate incidents, and take preventive or corrective action when required.

• Contribute to distributed systems and microservices architecture using technologies such as Docker, Kubernetes, Kafka, and ClickHouse.

• Provide technical guidance and mentorship to junior engineers and contribute to a strong engineering culture.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.

• 5+ years of professional backend software development experience, with strong expertise in Java and AWS.

• Demonstrated experience building and operating high-scale, low-latency services in distributed environments.

• Strong knowledge of Java and its ecosystem, including relevant frameworks and development practices.

• Experience with microservices architecture, containerization technologies such as Docker and Kubernetes, and distributed data systems such as Kafka and ClickHouse.

• Familiarity with RESTful API design and secure software development practices.

• Experience with CI/CD and development tooling such as Jenkins, Git, Maven, and Gradle.

• Familiarity with Agile development methodologies and collaborative software delivery.

• Strong problem-solving, analytical, and debugging abilities, with close attention to technical detail.

• Ability to work independently while collaborating effectively with distributed, cross-functional teams.

• Excellent written and verbal communication skills.

• For Staff-level scope, the ability to provide technical direction, influence engineering decisions, and mentor other developers is important.

• Competitive salary ranging from 66,21,800 to 96,56,800, depending on level, scope, and experience.

• Equity opportunities and a 401(k) program.

• Remote-first work culture with flexibility to work from anywhere.

• Comprehensive health, dental, and vision insurance, with employer-covered top-tier plans for eligible US employees and dependents.

• Unlimited paid time off.

• Engineering-led, AI-first working environment with a significant focus on technology and product development.

• Family-friendly culture with regular team events and offsites.

• Strong opportunities for learning, professional development, and career growth.

• Opportunity to work on scalable systems involving AI, real-time data, distributed architectures, fraud prevention, and digital risk.

• Mission-driven work focused on improving the safety and reliability of online transactions.