Senior Backend Engineer

Job timing – 7:30pm IST to 4:30pm IST

Immediate joiner

Job Description

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 Overview

The 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 SetsJava
Kuberneetes
Docker
PromQL - monitoring and alerting
Spring boot Api's
Grafana and Splunk - Monitoring Operations
Soft SkillsQuick learner
Flexible
Ability to work autonomously
Escalates timely

Job Description

Senior Backend Developer

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.

Key ResponsibilitiesFeature 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 & ExperienceThe 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.

Required Skills & Experience5+ 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 QualificationsExperience implementing end-to-end migration frameworks.
Security upgrade or secure coding experience in distributed platforms.
Familiarity with Spring Boot for service development.
Hands-on expertise with Cassandra or similar distributed storage technologies.

Tech Stack

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

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