Senior Site Reliability Engineer

Transformcap; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

100% coverage of health, dental, and vision insurance premiums

Unlimited PTO, with at least two weeks off each year

Additional wellness leave for women in India

Job summary

Transformcap is seeking a Senior Site Reliability Engineer to take ownership of operational lifecycles for cloud-native infrastructure. You will influence platform architecture and improve reliability standards across systems critical to healthcare data.

The ideal candidate will have at least 5 years of experience in SRE, strong skills in GCP and Terraform, and a commitment to communication and compliance in regulated environments. We offer a supportive culture prioritizing both employee well-being and job transparency.

Qualifications

• 5+ years in SRE, DevOps, or Infrastructure Engineering with production systems.
• Strong Linux systems administration, incident response, and root cause analysis.
• Experience with GCP, Terraform, and observability platforms.
• Strong communication skills in regulated environments.

Responsibilities

• Own operational lifecycle and influence platform architecture.
• Build and maintain Infrastructure as Code and CI/CD pipelines.
• Manage incident response processes and root cause analysis.
• Improve operational metrics and observability across systems.

Skills

Reliability engineering fundamentals

Cloud infrastructure & platform engineering

Observability & operational excellence

Automation & software delivery

Communication & compliance

Tools

GCP (GKE, Cloud Run)

Terraform/Pulumi

Docker/Kubernetes

GitHub Actions

Prometheus/Grafana/Datadog

Python/Bash/Go

Job description

About the Role

We’re looking for a Senior Site Reliability Engineer who takes ownership seriously — someone who designs for reliability, ships the automation, and stands behind it in production. You’ll work across cloud-native infrastructure on systems that process millions of provider records.

This is a role with real scope: you’ll own the operational lifecycle end‑to‑end and influence platform architecture, reliability standards, and deployment workflows across systems that matter.

How We Work

We ship fast, but we don’t ship sloppy. SREs at CertifyOS own the full lifecycle of what they support — from infrastructure design and deployment automation through observability, incident response, and postmortems. We use AI‑assisted tooling aggressively to reduce toil and accelerate troubleshooting, which raises the floor on the problems we tackle — not an excuse to reduce rigor. If you do your best work reacting to incidents, this probably isn’t the right fit. If you do your best work preventing them, we should talk.

Problems You’ll Solve

Healthcare provider data infrastructure is a distributed systems problem at scale. Hundreds of upstream integrations, inconsistent data sources, and evolving workloads all introduce operational complexity and reliability risk.

Reliability and observability at scale. You’re operating a platform hundreds of integrations depend on. How do you maintain uptime, reduce alert fatigue, and build actionable observability across GKE and Cloud Run without drowning in noise? Meaningful SLIs, error budgets, and data quality signals — not just p99 latency.

Scaling infrastructure efficiently. As platform usage grows, infrastructure costs and operational complexity grow with it. You’ll improve autoscaling behavior, resource utilization, and workload efficiency across cloud‑native distributed systems.

Incident response and operational maturity. Production incidents are inevitable; operational chaos is optional. You’ll own incident response processes, root cause analysis, escalation workflows, and runbooks — and make hard problems not happen again.

Infrastructure automation and developer velocity. You’ll build and maintain Infrastructure as Code, CI/CD pipelines, and operational tooling that reduce manual work and improve engineering productivity without sacrificing reliability.

Reliability engineering for data platforms. Uptime isn’t enough — you need to know when a provider record is stale, a pipeline is lagging, or a workload is behaving unexpectedly. You’ll instrument data freshness and infrastructure health, not just service uptime.

What We’re Looking For

Reliability engineering fundamentals

• 5+ years in SRE, DevOps, Platform Engineering, or Infrastructure Engineering — operating production systems at scale where your infrastructure is someone else’s dependency and failures have real downstream consequences
• Track record of improving reliability end‑to‑end: you’ve debugged hard production problems, made them not happen again, and built the alerting to prove it
• Strong Linux systems administration, incident response, and root cause analysis skills
• Comfort influencing operational standards and mentoring teams on reliability practices

Cloud infrastructure & platform engineering

• Deep hands‑on experience with GCP — GKE, Cloud Run, and containerized workloads at scale
• Experience building and maintaining Infrastructure as Code with Terraform and/or Pulumi
• Fluency across deployment patterns and the judgment to know when each fits: rolling deployments, blue/green, canary — and the rollback story for each
• Experience with autoscaling, resource optimization, and infrastructure efficiency for distributed systems
• Experience managing infrastructure security, secrets, and access controls in regulated or security‑conscious environments

Observability & operational excellence

• Strong understanding of Golden Signals monitoring — latency, traffic, errors, saturation — and how to make them actionable rather than noisy
• Experience designing SLIs, SLOs, error budgets, alerting strategies, dashboards, and escalation workflows
• Hands‑on experience with observability platforms: Google Cloud Monitoring, Datadog, Grafana, Prometheus, or similar
• Strong sense of data platform health: lineage, freshness, and correctness matter as much to you as throughput

Automation & software delivery

• Experience building and maintaining CI/CD pipelines using GitHub Actions or similar
• Scripting or programming fluency in Python, Bash, Go, or similar — you reduce toil through code, not process
• Experience working with Git workflows and modern software delivery practices

Communication & compliance

• Strong written and verbal communication — you can explain an operational risk to an engineer and a product manager in the same conversation
• Experience operating systems handling sensitive data or PII in regulated or compliance‑adjacent environments

Nice to Have

• Experience operating large‑scale distributed systems or microservices architectures
• Familiarity with healthcare, credentialing, or health‑tech environments
• Experience leveraging AI‑assisted observability or incident response tooling
• Familiarity with NodeJS, TypeScript, Java, or React application stacks

Technologies & Tools

GCP (GKE, Cloud Run, BigQuery, Cloud Monitoring) · Terraform / Pulumi · Docker / Kubernetes · GitHub Actions / Cloud Build · Prometheus / Grafana / Datadog · Python / Bash / Go · Sentry · Snyk · SonarQube · Jira / Slack

Benefits of Working at Certify

At Certify, we’re building with intention and taking care of the people doing the work.

Your well‑being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US‑based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.

We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences.

If you require reasonable accommodations during the application process, please contact [e-mail].

We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.