Evidation creates new ways to measure and improve health in everyday life—making proactive, personalized, and truly human-centered healthcare possible. By connecting directly with millions of individuals, Evidation harnesses real-world data to deeply understand health experiences, rapidly and at scale. Evidation’s privacy-centric digital health measurement and engagement platform uses data science and machine learning to translate these everyday insights into high-impact health guidance, treatments, and tools. Founded in 2012, Evidation is headquartered in California with employees working around the globe.

About the role

Senior DevOps Engineer with experience building product oriented cloud infrastructure, application delivery, observability, and operational excellence for Evidation’s platform. This role will design, build, and continuously improve the tooling, automation, and cloud-native systems that power our production workloads. This role requires deep expertise in AWS, Kubernetes (EKS), Infrastructure as Code, CI/CD, containerization, and modern DevOps automation patterns. Success in this role means raising the reliability and repeatability of systems, enabling engineering teams to move faster, and driving high-quality operational outcomes across the organization.

Preferred locations: Santa Barbara, Southern California

What you'll do

Design, build, and maintain highly available, scalable infrastructure on AWS using Infrastructure as code.
Design and operate multi-tenant Kubernetes environments running on EKS, including cluster operations, workload management, autoscaling, and cost-optimized configurations.
Drive Infrastructure-as-Code (IaC) best practices using Terraform and Pulumi, including modularization, testing, versioning, and safe deployment patterns.
Contribute to CI/CD ecosystem using GitHub Actions, reusable workflows, and secure secrets management; ensure fast, resilient, and traceable deployment pipelines.
Build and maintain containerization based software delivery pipeline leveraging Docker, Helm charts, and Github workflows.
Define and continuously improve monitoring, alerting, dashboards, and logging using Datadog.
Evaluate operational data to identify performance, stability, and cost-efficiency opportunities.
Provide advanced support for major incidents, performing root cause analysis, writing clear postmortems, and ensuring long-term corrective actions.
Apply a security-first mindset to infrastructure architecture, IAM, network boundaries, and workload configurations.
Implement work in alignment to controls in support of ISO 27001, SOC 2, HIPAA, and other regulated requirements.
Collaborate with Security to operationalize secure-by-default infrastructure patterns.
Collaborate with Engineering, Data, and Delivery teams to define requirements, translate technical needs, and deliver scalable solutions.
Facilitate knowledge sharing through documentation, playbooks, incident reviews, and architectural discussions.
Identify opportunities to add value beyond immediate requests—improving reliability, simplifying processes, and reducing operational load.

Minimum Qualifications

8+ years of DevOps, SRE, Platform Engineering, or relevant experience supporting production cloud systems.
Expert-level experience with AWS services.
Expert-level experience managing Kubernetes environments, including Helm, KEDA, cluster lifecycle, and multi-environment deployments.
Advanced CI/CD experience using GitHub Actions (workflows, reusable workflows, OIDC auth, environments) or similar technology.
Expert-level containerization skills (Docker, image optimization, registry management).
Strong proficiency with Terraform and Pulumi for Infrastructure as Code.
Hands-on experience with AI-assisted development tools (VSCode, GitHub Copilot, code generation workflows).
Strong proficiency with scripting and coding automation tools. Experience in more than one of: Bash, Python, Ruby, or Go.
Experience building reliable, observable systems using Datadog (metrics, logs, traces, monitors) or similar solution.
Strong understanding of distributed systems, networking, autoscaling, and operational patterns in cloud-native architectures.
Strong debugging, problem-solving, and incident response skills across complex, multi-service systems.

Preferred Qualifications

Experience as a Software Engineer and/or Full Stack Engineer
Experience implementing cost-optimization strategies across cloud and Kubernetes ecosystems.
Experience supporting infrastructure for healthcare, life sciences, or other regulated data environments.
Experience designing infrastructure systems that specifically include Bottlerocket OS, Snowflake, Postgres, Redis, RabbitMQ, Puma, and Ruby based Applications.
This job description outlines primary duties and requirements and is not intended to identify all tasks that may be performed; individuals occupying the position may be required to perform other duties. The company may modify job duties from time to time, either in practice or in writing.

At Evidation, we strive to build an equitable and inclusive space where everyone - employees, partners, and participants - belongs and feels valued. Evidation Health values diversity and is committed to equal opportunity for all persons without regard to sex (including pregnancy, childbirth or related medical conditions), gender identity, gender expression, race, color, national origin, ancestry, citizenship, age, religion, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information or any other legally protected characteristic.

We will also reasonably accommodate the physical and/or mental disabilities of an otherwise qualified applicant with a disability in order to enable the applicant to complete the application or interview process, providing undue hardship on Evidation Health would not result.

The compensation for this full-time position includes salary + bonus + equity + benefits. The actual starting pay will be based on job-related factors, including work location, experience, training, and skill level, so pay for this role may be higher or lower than what is shown on this posting.

https://evidation.com/california-privacy-notice

#LI-Remote

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The pay range for this role is:**
160,000 - 200,000 USD per year(Remote (United States))