Senior Backend Software Engineer- GM Energy

Job Description

The Role:

The GM Energy Cloud Platform (GMEC) and its data ecosystem support home energy management bidirectional charging (V2H/V2G) and utility programs across thousands of homes and vehicles. Our services power customer experiences utility integrations and measurement & verification (M&V) for GM Energys products.

We are investing in senior engineering talent to strengthen our backend application services integrations and reliability while continuing to mature our data foundations in line with GMs corporate goals around software reliability uptime and operational excellence.

We are looking for a Senior Software Engineer (Level 7A) to lead backend and platform services for the GM Energy Cloud platform.

You will:

Design and build scalable reliable backend services and APIs that power home energy EV/EVSE telemetry and utility/aggregator experiences.

Own critical production services and integrations ensuring they are secure observable and easy to operate.

Help the team meet GMs system reliability objectives including uptime incident reduction and robust monitoring.

This is a senior individual contributor (IC) role. You will be expected to operate with minimal direction lead complex technical work across teams and mentor other engineers while remaining hands-on.

What Youll Do:

• Backend & Platform Engineering (Primary Focus)

• Lead end-to-end design and implementation of complex backend features and cross-service flows with minimal guidance.

• Design build and operate backend services and RESTful APIs (for example in Python Java or similar) that:

  • Surface energy and telemetry data to mobile/web apps and partner systems.

  • Partner with data engineering and analytics teams to ensure services integrate cleanly with data platforms (e.g. Snowflake Databricks or similar) and expose data in a way that supports reporting and analytics.

  • Contribute to or advise on key data models and pipelines related to Energy Cloud services (telemetry enrollments program performance) including data quality freshness and observability where it directly impacts service correctness and customer outcomes.

  • Implement and evolve service contracts and data exchange patterns:

  • Define clear versioned APIs and schemas for downstream consumers and upstream producers.

  • Ensure compatibility backward-compatibility and robust error handling across integrations.

  • Automated unit integration and contract tests for services.

  • Secure build and deployment pipelines with safe rollout strategies (blue/green canary).

• Align your work to GMs software reliability and operational excellence goals:

  • Participate in on-call for Energy Cloud services:

  • Lead or support triage mitigation and root-cause analysis for incidents.

  • Drive permanent improvements automation and follow-up tasks from post-incident reviews.

  • Ensure that new services and significant changes meet GMs production readiness expectations:

  • Comprehensive testing health checks runbooks rollback strategies and observability in place before launch.

  • Leadership & Collaboration (Level 7A Expectations)

  • Mentor other engineers

  • Operational readiness monitoring and incident response best practices.

  • Influence technical direction across teams by:

  • Establishing and promoting best practices for APIs integration patterns security and observability.

  • Collaborating with product SRE data and platform teams to sequence work that delivers value while improving reliability and operability.

Your Skills & Abilities (Required Qualifications):

• Bachelors degree in Computer Science Software Engineering or a related field or equivalent practical experience.

• 6 years of relevant experience in backend software engineering including:

• Designing building and operating production services and APIs on a major cloud provider (Azure GCP or AWS) with a strong preference for Azure.

• Strong hands-on skills in:

  • At least one general-purpose programming language (e.g. Python Java or similar) used for backend services.

  • RESTful API design and implementation including authentication/authorization versioning and error handling.

• Proven experience with:

  • Distributed systems or microservices architectures in production.

  • CI/CD practices and automated testing (unit integration contract) for application code.

  • Monitoring logging and alerting using modern observability tools (e.g. Datadog Prometheus/Grafana or equivalent).

  • Demonstrated track record owning or co-owning production operations:

  • On-call participation incident diagnosis and permanent fixes.

• Working with SRE/platform teams to improve reliability scalability and cost efficiency.

What Will Give You A Competitive Edge (Preferred Qualifications):

• Experience in energy utilities EV charging home energy systems or large-scale IoT.

• Additional experience with data and eventing such as:

• Event-driven architectures (e.g. Kafka Event Hubs) and streaming data pipelines.

• Working with modern data platforms (Snowflake Databricks or equivalent) and writing performant SQL for operational use cases.

• Experience with:

  • Security and compliance for services and data (access controls secrets management PII handling).

  • SRE and reliability practices: SLOs/SLIs error budgets production readiness reviews and post-incident analysis.

  • Demonstrated ability to:

  • Mentor other engineers and elevate engineering standards across teams.

  • Influence architecture and technical direction across a platform or domain.

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