Design and implement scalable, resilient backend systems using Java, Spring Boot, and Apache Spark
Build and optimize data processing pipelines on Google Cloud Platform (GCP) and Azure, leveraging tools like DataProc, BigQuery, and Data Factory
Build scalable and reliable systems that handle large volumes of traffic and data
Write clean, efficient, and maintainable code while following engineering best practices
Debug and troubleshoot issues in distributed systems across environments
Contribute to performance optimization, security improvements, and system resilience
Collaborate with product managers, front-end engineers, and other stakeholders to deliver impactful features and solutions
Participate in code reviews and provide constructive feedback to peers.

Requirements

7+ years of professional software engineering experience
Proficiency in Java, Golang, Spring Boot, and RESTful API design
Demonstrated high efficiency and scalability with distributed databases including Cassandra, Elasticsearch, and Azure Cosmos DB
Deep understanding of distributed systems, data processing frameworks, and big data platforms such as Apache Spark and DataProc
Familiarity with event-driven architectures using Kafka or similar messaging systems
Hands-on experience with cloud platforms—ideally both Google Cloud and Azure
Solid grasp of CI/CD workflows, source control (Git), and infrastructure automation tools
Strong problem-solving mindset, strong debugging skills, and a passion for building resilient, high-availability systems
Excellent communication skills and ability to work cross-functionally in a fast-paced environment.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaGolangSpring BootApache SparkRESTful API designCassandraElasticsearchAzure Cosmos DBDataProcBigQuery

Soft Skills

problem-solvingdebuggingcommunicationcollaborationconstructive feedbackfast-paced environment