Role Overview:
We're looking for a Senior Backend Engineer who is equally adept at writing code (mostly Kotlin) as they are at managing the infrastructure where it's deployed (lots of Terraform) to join our Systems Engineering team!
This is a senior position - you should have experience being a subject matter expert and making significant design/implementation contributions to large projects. It'll be common to find yourself in a position to teach and mentor others - whether engineers with less experience than you in general or teaching senior engineers with less experience in a specific area. Additionally, you will often need to explain parts of your decision-making process to non-engineers so our teams can better understand feasible boundaries of the new products and features we are building.
We write software that processes and analyzes large amounts of healthcare data. Our engineering teams are cross functional teams that own specific subdomains within our product suite. The Systems Engineering team helps keep our product solutions running reliably and performantly. Engineers on this team work across the full stack of our platform infrastructure, including:
- Developer Platform & Experience: Authentication systems, CI/CD pipelines, third-party integrations
- Infrastructure Management: Azure cloud architecture, Kubernetes orchestration, infrastructure-as-code with Terraform
- Site Reliability Engineering: Implementing observability with Grafana, defining SLIs/SLOs, incident response, and proactive reliability improvements
- Quality & Automation: Building and maintaining automated testing infrastructure with Cypress.
While this role is primarily focused on infrastructure management and maturing our SRE capabilities, due to the breadth of what this team owns, your work is never static. In any given 6 week cycle you could be:
Regardless of what a given cycle brings, you'll be primarily focused on infrastructure management and helping mature our SRE capabilities - building the reliable, scalable foundation that empowers our teams to build tools and applications that enable our customers to derive critical insights from healthcare data. In short, this role is ideal for someone who enjoys the variety of full-stack infrastructure work and thrives in a collaborative environment where teaching and learning from others is part of the daily experience.
More broadly, the larger Engineering team (20+ developers) builds and maintains the production systems upon which the Machine Learning department applies models, the Research department constructs analyses, client representatives run queries, and clients gain insights. We gather, organize, and consolidate multiple streams of data into logical structures, optimized for inspection at various levels of abstraction for various known and unknown use cases, and we provide the interfaces through which that inspection occurs.
From a process standpoint we use Shape Up and work in 6-week cycles followed by a 2-week cooldown. In general, we are very light on recurring meetings, there's lots of focus time for getting work done.
Requirements:
Trilliant Health Benefits:
*We are unable to provide visa sponsorships for this role.
About Trilliant Health:
Trilliant Health is a high-growth, healthcare technology company. We are on a mission to be the most trusted advisor, dependable partner and provider of analytic insights to key stakeholders in the health economy enabling them to maximize return on invested capital. We do that by providing education and expertise through thought leadership, evidence-based strategy, and predictive analytics. We are looking to grow our team as we strive to influence positive change in healthcare by disrupting the status quo and promoting improved decision-making.