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General Motors · 1 week ago

Senior Software Engineer, Site Reliability Engineering

Austin, TX

Full-time

Hybrid

Mid, Senior Level

$128K/yr - $269K/yr

General Motors is a leading automaker focused on enhancing the reliability and efficiency of distributed systems. As a Senior Software Engineer in Site Reliability Engineering, you will develop automated solutions, respond to incidents, and collaborate with development teams to maintain service reliability and performance.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation

No H1B

Responsibilities

Automation and Reliability Improvements: Develop tools and software to automate operational processes, improve system reliability, and reduce manual intervention

Observability and Monitoring: Lead, Implement and improve monitoring and observability frameworks, enabling proactive detection and resolution of incidents. This includes building and maintaining our observability stack to ensure robust telemetry and actionable insights

Incident Response: Participate in an on-call rotation to diagnose, troubleshoot, and mitigate production incidents, ensuring minimal downtime and swift resolution

Collaboration with Development Teams: Work alongside developers to ensure the quality, scalability, and reliability of our services. Practice shared ownership of services in production, fostering a "You build it, you run it" culture

Service Level Management: Manage Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to manage reliability expectations effectively

Engineering for Reliability: Strong understanding of common application reliability patterns, with hands-on experience implementing them

Failure Analysis and Post-Incident Reviews: Conduct deep-dive analyses of incidents and collaborate on post-incident reviews to derive learnings and prevent recurrence. Champion a culture of continuous improvement

Cost Efficiency: Evaluate system performance and advocate for optimisations that reduce infrastructure costs while maintaining service reliability

Qualification

Programming SkillsSystems KnowledgeIncident ManagementAutomation FocusCloud PlatformsContainer OrchestrationCommunication SkillsCollaboration Skills

Required

Proficiency in at least one programming language (e.g., Python, Go, Java) and familiarity with multiple language ecosystems

Solid understanding of operating systems, networking, distributed systems, databases, and storage architectures

Deep understanding of how code runs on underlying hardware, including operating systems, algorithms, and data structures. Ability to optimize or troubleshoot code by understanding its execution and the impact on system resources

Experience handling production incidents, including root cause analysis, mitigation, and working through complex system failures

Strong communication skills, with an ability to explain technical concepts to both engineering and business stakeholders. Commitment to collaborative problem-solving and shared ownership of services

Proven experience in automating manual processes, building deployment pipelines, or managing configuration systems

Strong understanding of common application reliability patterns, with hands-on experience implementing them

Experience with cloud platforms (AWS, GCP, Azure)

Familiarity with container orchestration systems like Kubernetes

A track record of managing or developing distributed systems

Prior experience with Java in production