Senior Sotware Engineer

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].   The Role The GM Energy Data Engineering team is on the lookout for a talented Data Engineer who is a highly skilled and hands-on Cloud Data Warehouse engineer with experience in IoT data integration, Databricks, and Apache Flink. The selected candidate will play a pivotal role in designing, implementing, and optimizing scalable cloud-based data warehouse solutions, including an Operational Data Store (ODS) to serve as a speed layer for advanced analytics and business intelligence initiatives. What You’ll Do • Design, develop, test, and maintain scalable Java services and distributed applications. • Build and optimize real-time data streaming pipelines using Apache Flink, Apache Pulsar, and Apache Kafka. • Develop reliable event-driven services with strong attention to throughput, latency, resiliency, ordering, replay, and fault tolerance. • Design and implement an Operational Data Store (ODS) layer using GraphQL and PostgreSQL. • Develop GraphQL APIs and services that provide secure, efficient, and well-structured access to operational data. • Design relational schemas, queries, indexes, and data-access patterns for PostgreSQL. • Integrate streaming and operational data services with Databricks and cloud-based data platforms. • Deploy and operate applications in Microsoft Azure using cloud-native architecture and services. • Implement automated build, test, deployment, and release processes through CI/CD pipelines. • Apply software engineering best practices, including code reviews, automated testing, observability, documentation, and secure development. • Troubleshoot complex issues across application, streaming, database, and cloud environments. • Participate in technical design discussions and contribute to architecture decisions. • Mentor other engineers and help establish engineering standards and reusable patterns. • Use generative AI tools and effective prompting techniques to accelerate development, troubleshoot issues, create documentation, and improve engineering productivity while applying appropriate security and data-handling practices. Your Skills & Abilities (Required Qualifications) • 7+ years of professional software development experience. • Strong proficiency in Java and object-oriented design. • Experience building production-grade backend services and distributed systems. • Hands-on experience with one or more streaming technologies, preferably Apache Flink, Apache Pulsar, and Apache Kafka. • Strong understanding of event-driven architecture, messaging patterns, data partitioning, consumer groups, delivery semantics, and stream processing. • Experience designing and developing GraphQL APIs. • Strong experience with PostgreSQL, including schema design, SQL, performance tuning, indexing, and transaction management. • Experience with Databricks and data engineering or analytics platforms. • Experience developing and deploying applications in Microsoft Azure. • Practical CI/CD experience with automated testing, packaging, deployment, and release management. • Experience with source control and collaborative development workflows, such as Git and pull requests. • Strong troubleshooting, communication, and technical documentation skills. What Can Give You a Competitive Advantage (Preferred Qualifications)   • Experience with Spring Boot, Spring Cloud, or comparable Java frameworks. • Experience with Apache Avro, Protobuf, schema registries, or other data serialization and schema-management technologies. • Experience with containerization and orchestr