We are looking for a Senior Backend Developer who loves writing clean code and solving complex data challenges. In this role, you won’t just be “maintaining ” systems; you will be actively building high-performance APIs, refining data pipelines, and optimizing how our applications handle massive, parallel workloads.

Project OverviewThe ideal candidate has a strong understanding of how data is represented, with strong skills in Java. They can understand how to evaluate code and completely timely broken-down tasks like bug fixes and system feature enhancements. This role will be supporting a team that works on data migrations, platform upgrades, and backend services are efficient, robust, and scalable—especially when working with Java in complex, high-volume environments.

Key Workflows Open Req:

• Memory optimization
• Platform memory with schema changes
• Upgrade legacy systems
• Caching with Redis
• Leverage Java and Spring Boot to design, implement, and maintain backend services while ensuring reliability, performance, and security across the platform.
• Strong documentation skills
• Data Structure and Infrastructure level coding
• Binary
• Technical Skill Sets
• Java
• Kuberneetes
• Docker
• PromQL – monitoring and alerting
• Spring boot Api’s
• Grafana and Splunk – Monitoring Operations
• Soft Skills
• Quick learner
• Flexible
• Ability to work autonomously
• Escalates timely

Key Responsibilities

• Feature Development: Build and ship production-grade APIs, working primarily in Java with some functional logic in Scala.
• Code Craftsmanship: Drive the development lifecycle by reviewing peer code and translating complex technical requirements into scalable software.
• Performance Engineering: Write highly optimized code for parallelism and concurrency, ensuring our applications can handle heavy data loads without bottlenecks.
• Distributed Systems Architecture: Design, build, and maintain highly scalable distributed systems that process millions of events per day with low latency and high availability.
• Data Pipeline Development: Build and optimize real-time and batch data pipelines using Apache Spark and/or Apache Flink to process large-scale datasets efficiently.
• Observability: Use Splunk and Grafana to monitor application health and write PromQL queries to troubleshoot and optimize performance.

Required Skills & Experience

• The Stack: Deep expertise in Java.
• Distributed Systems: Hands-on experience designing and operating highly scalable distributed systems, including understanding of CAP theorem, eventual consistency, and distributed consensus protocols.
• Data Processing Frameworks: Production experience building data pipelines with Apache Spark and/or Apache Flink for both batch and stream processing workloads.
• Storage Systems: Practical experience with distributed storage systems such as Apache Cassandra (or similar NoSQL databases) and PostgreSQL, including schema design, query optimization, and operational management.
• Data Structures: Advanced knowledge of data structures and experience building robust data pipelines.
• Containerization: Familiarity with Docker and Kubernetes for daily development and deployment.
• 5+ years backend engineering experience with advanced Java knowledge (JVM internals, concurrency, multithreading).
• Strong experience in data structures, algorithms, and infrastructure-level coding.
• Understanding of binary-level operations, memory layout, and low-level system optimizations.
• Strong experience working in large codebases and repositories with Java and Scala.
• Proven ability to build, operate, and scale large distributed systems.
• Experience with Kubernetes, containerization, and cloud-native deployment workflows.
• Ability to articulate design considerations and document them clearly.
• Bachelor’s or master’s degree in computer science or related field.

Preferred Qualifications

• Migration Frameworks: Experience implementing end-to-end migration frameworks.
• Security & Secure Coding: Security upgrade or secure coding experience in distributed platforms.
• Spring Boot: Familiarity with Spring Boot for service development.
• Distributed Storage: Hands-on expertise with Cassandra or similar distributed storage technologies.

Tech Stack

Java, Scala, Spring Boot, Kubernetes, Docker, Cassandra, Ticketing Tools