Staff Golang Engineer

*Please note that we can only consider candidates in the US within EST, CST, MST time zones.

About Rialtic

Rialtic is an enterprise software platform empowering health insurers and healthcare providers to run their most critical business functions. Founded in 2020 and backed by leading investors including Oak HC/FT, F-Prime Capital, Health Velocity Capital and Noro-Moseley Partners, Rialtic's best-in-class payment accuracy product brings programs in-house and helps health insurance companies gain total control over processes that have been managed by disparate and misaligned vendors. Currently working with leading healthcare insurers and providers, we are tackling a $1 trillion problem to reduce costs, increase efficiency and improve quality of care. For more information, please visit www.rialtic.io.

The Role

We seek a motivated and curious Staff Engineer with extensive background experience in cloud-native distributed systems who hates manual processes and feels compelled to build tools to automate them away. As a key contributor to our core healthcare claims processing platform team and senior member of the technical staff, you will play a vital role in building solutions to improve workflows across multiple engineering teams, supporting client evaluations and implementations, live system support, site reliability, system testing and monitoring, and logging/alerting integrations. This position requires a customer-first, quality-oriented mindset. We are a data-driven organization, so instrumentation and measurement are how we determine the success or failure of our engineering efforts.

We tackle challenges that are common to healthcare companies and healthcare data, but we do it using a modern, cloud-native stack. Our core processing platform and related services are written in Go, while our clinical and financial analytics components that run inside the platform are written in Python. This is a back-end systems focused role: we won’t ask you to write Javascript (but being able to read it never hurts, and we have many APIs and interfaces between us, our clients, and our own systems). Our ability to parse, validate, process, write code against, and manage enormous volumes of data while performing complex analyses quickly and accurately is critical to our success.

If that sounds like a fun challenge, then you should apply for this position!

You will

During any given week in this role, you might:

• Develop core platform features using Golang, Python, PostgreSQL, Kafka, and various cloud (AWS) services, with a particular focus on developer experience, tools, and testing;
• Apply your experience with distributed systems to our architecture and services, drawing on your hard-won knowledge of the places where whole new classes of fun and exciting bugs lurk;
• Collaborate with your engineering peers and build productive relationships with members of the Go-to-Market, Product Management, Clinical Content, and other teams that need our expertise to translate their requirements into coherent technical solutions;
• Partner with our cloud/SRE team to understand the performance characteristics and storage needs for our Kubernetes clusters and the pods and containers that run there, which requires continual tuning as we dynamically scale throughout the day to meet client usage patterns and data flows while meeting sub-second SLA performance requirements;
• Assist our infosec team in reviewing the findings of automated and manual security testing and audits, including both HITRUST and SOC 2 Type II, and work with the engineering team to implement and refactor code and services in a secure fashion;
• Influence the whole Engineering organization to adopt best practices in software development and testing, helping us all develop high-quality, scalable, testable, and maintainable code;
• Participate with internal and external stakeholders to understand the business logic and other requirements (such as refresh latency) for our Web-based payment integrity solution, client data warehouse exports, and one-time/ad-hoc analysis needs;
• Write and help maintain specifications, documentation, diagrams, test plans, and other artifacts that represent the current and planned future state of our systems;
• Serve as a peer reviewer for a colleague’s code, participate in an engineering architecture specification review, work with the product management team to refine a set of requirements or break a story down into concrete tasks for implementation; or
• Mentor less-experienced developers as they grow in their own mastery of these topics and more. Our systems and services tech stack includes (but is not limited to) Golang, Python, SQL, shell scripts, AWS EC2, Athena, Aurora / PostgreSQL, Kafka / MSK, Kubernetes, SQLite, Airflow, Spark, and more!