Senior Software Engineer

General Motors • Full-time • 1d ago

The Vehicle Data Engineering team is seeking a Senior Software Engineer with a proven track record in building large-scale data platforms. The ideal candidate will play a crucial role in developing and maintaining data-related systems, including high-throughput data streams, data curation, data storage/file system architectures, data security and governance, as well as inline inferencing and AI algorithms.

What You Will Do

Design and develop scalable, reliable backend services and platform components.

Write clean, maintainable, and well-tested code in Java, with Python used for tooling and automation.

Implement distributed and event-driven systems with strong attention to reliability, fault tolerance, and performance.

Own services end-to-end: architecture, development, deployment, monitoring, and continuous improvement.

Contribute to shared engineering standards, including libraries, APIs, CI/CD pipelines, and automated testing frameworks.

Work closely with cross-functional partners to translate requirements into efficient, robust software solutions.

Participate in code reviews, share best practices, and mentor other engineers to raise engineering quality across the team.

Required Skills & Qualifications

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

5+ years of professional software engineering experience, with a strong emphasis on backend development.

Proficiency in Java, with experience using Python for automation and tooling.

Experience building distributed, event-driven, or microservice-based systems (e.g., Apache Flink or similar).

Hands-on experience with cloud platforms (Azure preferred; AWS/GCP also valuable).

Strong understanding of messaging and integration technologies.

Good knowledge of SQL and NoSQL databases, schema design, and efficient data-access patterns.

Experience with CI/CD pipelines, automated testing, and modern DevOps practices (e.g., GitHub, Terraform).

Strong analytical, debugging, and problem-solving skills in distributed or asynchronous environments.

Excellent collaboration and communication skills.

Desirable

Experience with JVM tuning, concurrency, or performance-critical systems.

Knowledge of object stores and handling large or binary file formats.

Familiarity with observability tooling (e.g., DataDog, OpenTelemetry).

Experience building internal frameworks, SDKs, or reusable engineering components.

Hybrid
This role is categorized as Hybrid. This means the successful candidate is expected to report to the Limerick office 3 times per week, at minimum.

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