Developed by SillyLittleTools
Vida Health
This is a full-time [Hiring] Site Reliability Engineer III @Vida Health position at Vida Health, based in Anywhere, with remote work available. The role offers $175.0k - $185.0k.
$175.0k - $185.0k
Role Description
You'll be Vida's first dedicated Site Reliability Engineer. You'll join the Enablement Team, which owns the platform and tooling our Engineering Teams build on. You'll report to the Engineering Manager and work closely with the team's Lead Engineer, who sets technical direction and will mentor you. This is a fully remote role with no time zone restrictions.
You'll modernize, consolidate, and scale our infrastructure as Vida takes on a wave of new enterprise contracts starting January 1. You'll also help shape what SRE looks like at Vida going forward.
Consolidate our Terraform into a clean, well-documented structure.
Establish conventions for state management, module structure, code review, and CI checks.
Normalize environments and improve build and deploy automation in GitHub Actions.
Add drift detection and alerting.
Apply overdue patches and upgrades across our Cloud SQL databases and application runtimes.
Right-size compute and database workloads for growth.
Evaluate our Kubernetes architecture as we grow.
Improve monitoring and observability in Datadog and Cloud Monitoring.
Design observability access for contractors and external partners.
Retire legacy infrastructure and tooling.
Build repeatable operational processes, including runbooks, an on-call rotation, and escalation documentation.
Support infrastructure readiness for Vida's January 1 enterprise launches.
Additional responsibilities as needed.
Bachelor's degree at a minimum.
5+ years of experience in SRE, DevOps, or infrastructure engineering, with real ownership of production systems.
Deep hands-on Terraform experience, including structuring modules and managing state across environments.
Strong working knowledge of GCP, including GKE, Cloud SQL (MySQL and PostgreSQL), IAM, networking and load balancing, and cost management.
Production Kubernetes experience, including autoscaling and resource management.
Hands-on experience building monitoring, alerting, and dashboards with tools like Datadog or Cloud Monitoring.
Proficiency in Python for tooling and automation.
Comfortable working across multiple teams and disciplines.
Experience as an early or first SRE hire.
Experience refactoring or consolidating a large, organically grown Terraform codebase.
Experience improving observability from a less mature baseline.
Experience in a HIPAA-regulated or other compliance-driven environment.
CI/CD experience with GitHub Actions.
Experience running Django applications or Airflow in production on Kubernetes.
Experience designing or migrating to multi-cluster Kubernetes architectures.
$175,000 - $185,000 a year.
Company Description
Vida is proud to be an Equal Employment Opportunity and Affirmative Action employer. Diversity is more than a commitment at Vida—it is the foundation of what we do. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status.
We seek to recruit, develop and retain the most talented people from a diverse candidate pool. We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve.
Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings.
Please note: Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for any position.
All Vida Employees must reside in/be able to work from the U.S.- international work is prohibited. Job postings at Vida will remain open through end of year, until filled.
#LI-remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
