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India
Remote only
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.
