Senior Backend Software Engineer- GM Energy

General Motors
Warren, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Warren, United States of America

Tech stack

Java
API
Amazon Web Services (AWS)
Application Services
Automation of Tests
Azure
Continuous Integration
Information Engineering
Data Infrastructure
Distributed Systems
Electronic Data Interchange (EDI)
Python
Key Management
Uptime
Cloud Services
Prometheus
Runbook
Software Engineering
SQL Databases
System Testing
Systems Integration
User-Centered Design
Utility Software
Management of Software Versions
Web Applications
Azure
Datadog
Data Logging
Cloud Platform System
Snowflake
Grafana
Reliability of Systems
Backend
Event Driven Architecture
Build Management
Information Technology
Kafka
Data Management
REST
Databricks
Microservices

Job description

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 Energy's 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 GM's 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 GM's 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 You'll 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 GM's 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 GM's 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., This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Requirements

  • Bachelor's 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.

About the company

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team., General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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