Title: Senior Backend Software Engineer/SRE - GM Energy Location: Warren, Michigan, United States of America Full time job requisition id JR-202608621 Job Description The Role The Energy Cloud Platform is a highly scalable, secure cloud platform in production today that connects vehicles, utilities, markets, and IoT systems to enable smart charging, bidirectional energy (V2H/V2G), and data-driven energy services. As part of the Cloud Platform & Smart Charging team, you will help ensure our services remain reliable, observable, and ready to support mission-critical energy programs at scale. We are looking for a Senior Backend Software Engineer – Site Reliability (SRE) to lead reliability, performance, and operational excellence for the Energy Cloud platform, while also contributing directly to backend services and platform capabilities. In this role, you will combine strong backend software engineering skills with SRE practices to: - Design and evolve production-ready, observable services - Build and improve CI/CD, infrastructure, and automation - Lead incident response, post-incident reviews, and reliability improvements - Partner closely with product engineering, data, and cloud platform teams This is a senior individual contributor role: you will drive cross-team initiatives, set reliability patterns others adopt, and mentor engineers across the organization. You will also spend meaningful time on backend feature and platform development, and the role is well-suited for someone who wants to deepen both SRE and software engineering skills. What You’ll Do: Reliability & Operations - Own and improve reliability for key Energy Cloud services that power electric grid programs, V2H/V2G pilots, and enrollment/operations experiences. - Define and maintain SLOs/SLIs (latency, error rate, availability) and partner with engineering and product to ensure they reflect real customer and business needs. - Lead rollout and continuous improvement of production observability (e.g., Datadog or similar): metrics, logs, traces, dashboards, and alerting across services. - Implement and enforce Production Readiness Reviews (PRR) and reliability scorecards so that every new service, integration, and major feature meets our reliability bar before going live. - Drive incident management: participate in and often lead on-call/incident response, perform root-cause analysis, and ensure post-incident actions are prioritized and completed. Software Engineering & Automation - Design and implement robust, well-tested backend services and automation to improve system reliability, performance, and data integrity (e.g., telemetry ingestion pipelines, charging session data flows, enrollment workflows). - Build and evolve CI/CD pipelines (e.g., GitHub Actions) to support blue/green or similar deployment strategies, automated rollbacks, and high-confidence releases. - Design and validate disaster recovery and continuity patterns (backups, cross-region failover, runbooks, simulation drills) for critical platform components. - Partner with data engineering and platform teams to ensure data ingestion, storage, and processing patterns support reliability, scalability, and monitoring requirements. Cross-Team Leadership - Lead cross-team reliability initiatives that improve how multiple Energy Cloud and related services are built, deployed, and operated. - Define and socialize standard patterns for observability, CI/CD, performance testing, and data quality that other teams can adopt. - Create clear technical documentation: runbooks, design docs, PRR checklists, SLO definitions, and reliability playbooks that make complex systems operable by others. - Mentor engineers (SWE, DevOps, SRE, data) on reliability best practices, debugging techniques, and operational excellence. Your Skills & Abilities (Required Qualifications): - Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering or related field, or equivalent practical experience. - 8+ years of experience in software engineering, DevOps, or SRE roles, including: - Designing, building, and operating backend or platform services in production. - Hands-on experience with at least one major cloud provider (Azure, GCP, or AWS). - Strong programming skills in one or more languages (e.g., Python, C#, Java, Go) and experience writing production-grade services and automation. - Demonstrated experience with observability and monitoring (e.g., Datadog, Prometheus, Grafana, OpenTelemetry) and implementing meaningful metrics and alerts. - Experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins) including automated testing, deployment strategies, and rollback patterns. - Proven track record owning or co-owning on-call, incident response, and post-incident improvement work for production systems. - Ability to lead cross-functional technical efforts, influence without direct authority, and communicate clearly with engineering, product, and operations stakeholders. What Will Give You A Competitive Edge (Preferred Qualifications): - Experience in energy, utilities, EV charging, or large-scale IoT platforms. - Experience with data platforms (e.g., Snowflake, Databricks, or similar) and designing reliable data ingestion and processing pipelines. - Deep familiarity with SRE principles: error budgets, capacity planning, resilience testing, chaos engineering, and production game days. - Experience designing disaster recovery strategies and running DR drills in collaboration with product and infrastructure teams. - Experience implementing security and compliance practices (e.g., secrets management, vulnerability remediation, secure pipelines) in partnership with security and cloud platform teams. - Demonstrated success mentoring other engineers and raising the bar for reliability and operational excellence across multiple teams. #LI-SB3 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). 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}. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us 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. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Non-Discrimination and Equal Employment Opportunities (U.S.) 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. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

• Ejecuta actividades de desarrollo para componentes de backend y UI y apoya la entrega de calidad dentro de la cadencia del sprint. • Desarrollar componentes de aplicaciones backend utilizando frameworks aprobados por Java/Spring Boot y el cliente. • Desarrollar componentes de interfaz web utilizando tecnologías de interfaz aprobadas por el cliente. • Implementa lógica de negocio basada en historias de usuario aprobadas y criterios de aceptación. • Desarrollar e integrar APIs RESTful e integraciones de servicio a servicio. • Realizar pruebas unitarias y apoyar las actividades de pruebas de integración. • Participa en revisiones de código entre pares y responde a los comentarios sobre las revisiones. • Apoyar las actividades de resolución de defectos y refactorización dentro del alcance del sprint. • Participa en ceremonias ágiles que incluyen planificación de sprints, reseñas y retrospectivas. • Apoyar las actividades de desarrollo y pruebas de las funcionalidades del sprint comprometidas. • Participar en ceremonias ágiles y actividades de ejecución del sprint. • Escalar los bloqueadores y dependencias al Líder o al Scrum Master.

• Desarrollar y mantener aplicaciones backend con tecnologías modernas • Colaborar con equipos para entregar soluciones innovadoras • Participar en actividades de desarrollo ágil y revisión de código

Role Description As a Junior Scala Developer on our team, you will play a pivotal role in bringing our vision to life. You will be involved in every stage of the development process, from initial design to deployment, focusing on creating a scalable, high-performance backend system that can support the diverse needs of multiple brands. Working on this project will expose you to the latest technologies and challenges in software development, offering ample opportunities for growth and innovation. You will be part of a dynamic team that values creativity, collaboration, and a commitment to excellence. Qualifications - At least 2 years of experience building backend systems. - At least 1 year of experience working with Scala. - Knowledge of Scala or strong JVM language background (Java, Kotlin) with eagerness to transition to Scala. - Basic understanding of RESTful API concepts. - Familiarity with Scala ecosystem (SBT, basic Akka or Play Framework concepts). - Basic understanding of messaging systems (Kafka, RabbitMQ, etc.). - Awareness of microservices architecture principles. - Basic knowledge of containerisation (Docker). - Understanding of core software design patterns, data structures, and algorithms. - Experience with database technologies (SQL and NoSQL). - Exposure to cloud services (AWS, GCP) and DevOps tools (CI/CD pipelines) is a plus. - Good written and verbal communication skills in English (B1+/B2). - Ability to work in a multicultural environment. - Eagerness to learn, take feedback, and grow within the team. - Self-organised with a proactive attitude toward problem-solving. Requirements - Strong interest in applying AI-powered tools (e.g. ChatGPT, Copilot, Cursor or similar) to speed up day-to-day development tasks. - Proven ability or strong motivation to use AI to reduce development time, improve code quality, and automate repetitive engineering work. - Experience in leveraging AI for code generation, refactoring, debugging, test creation, and documentation. - Openness to experimenting with new AI tools and workflows and integrating them into the development process. - Experience with JIRA, and Confluence. - Experience with ZIO and/or Typelevel stack (CATS etc.). - Experience with Couchbase DB. - Experience with ElasticSearch. - Experience in gambling or online gaming. - Experience with TDD development processes. Responsibilities - Implementing well-defined tasks and smaller features under guidance of Middle/Senior developers. - Communicating with team members and reporting blockers promptly. - Bug fixing of assigned features with support from the team. - Writing unit tests for developed code. - Active participation in Scrum ceremonies. - Continuous learning and gradual onboarding to team processes and codebase.