Summary
What you’ll impact
The Senior Site Reliability Engineer at Commence will own the reliability, scalability, and operational health of the mission-critical healthcare data platform. This role focuses on building observability, automation, and resilient infrastructure while collaborating with engineering teams and ensuring compliance with healthcare regulations. The position is remote with a salary range of $145,000-$175,000.
Responsibilities
What you'll do
- Own the reliability, scalability, and operational health of our mission-critical healthcare data platform.
- Design, implement, and own observability infrastructure including metrics, logging, tracing, and alerting across distributed systems.
- Define and enforce SLOs, SLIs, and error budgets in partnership with product and engineering teams.
- Lead incident response: triage, coordinate remediation, conduct blameless post-mortems, and drive systemic fixes.
- Build and maintain CI/CD pipelines that support rapid, safe delivery of changes to production.
- Collaborate with engineering teams on infrastructure changes; able to read, modify, and contribute to existing infrastructure-as-code (Terraform or CloudFormation).
- Design and operate highly available, fault-tolerant systems—including auto-scaling, failover, and disaster recovery strategies.
- Reduce operational toil through automation; eliminate manual processes before they become habits.
- Collaborate with software engineers to establish reliability-first design patterns and review architectures for operational risk.
- Manage Kubernetes or container orchestration environments at scale.
- Ensure systems meet compliance and security requirements, particularly those applicable to healthcare data (HIPAA, SOC 2).
- Provide technical mentorship and guidance to engineers across the organization on reliability practices.
- Participate in on-call rotation with a commitment to continuously reducing the need for it.
Requirements
What you’ll bring
- 7+ years of experience in SRE, platform engineering, or DevOps roles.
- Exceptional problem-solving under pressure—demonstrated track record of diagnosing complex, high-stakes system failures and building durable solutions.
- Deep hands-on experience with AWS services including EC2, EKS/ECS, Lambda, RDS, S3, CloudWatch, and related tooling.
- Familiarity with infrastructure-as-code (Terraform or CloudFormation)—able to contribute to existing configurations.
- Experience designing and operating distributed systems with strict availability and latency requirements.
- Proficiency in at least one scripting or systems language (Python, Go, Bash, or similar) for automation and tooling.
- Experience with container orchestration (Kubernetes, ECS) in production environments.
- Expertise in observability tooling (OpenSearch, Prometheus/Grafana, or equivalent).
- Hands-on experience with CI/CD platforms (GitHub Actions, Jenkins, CircleCI, or similar).
- Proven ability to define and operationalize SLOs and error budgets.
- Experience with relational and NoSQL databases—performance tuning, replication, and backup strategies.
- Strong working knowledge of networking fundamentals: DNS, load balancing, VPCs, TLS.
- Excellent communication skills—able to translate technical risk into business impact for non-engineering stakeholders.
- AWS Certifications (Solutions Architect, DevOps Engineer, or SysOps Administrator).
- Experience in healthcare technology or other regulated industries (HIPAA, SOC 2, FedRAMP).
- Familiarity with chaos engineering practices and tooling.
- Experience with data pipeline reliability (ETL/ELT workflows, streaming systems).
- Exposure to AI/ML infrastructure and the reliability challenges unique to model serving.
- Familiarity with additional cloud platforms (Azure, Google Cloud).
- Contributions to open-source reliability or infrastructure tooling.