Staff Engineer, Rialtic
Golang
Salary not provided
Offers equity
SQL
AWS
Docker
Kubernetes
GCP
JavaScript
Python
C#
Kafka
Bash
Linux
Go
Airflow
C++
C
Athena
Rust
Azure
Spark
Golang
Expert level
Remote in US
More information about location
Administrative and financial technology for healthcare
Open for applications
Administrative and financial technology for healthcare
21-100 employees
FintechHealthcareB2BEnterprisePaymentsSaaS
Open for applications
Salary not provided
Offers equity
SQL
AWS
Docker
Kubernetes
GCP
JavaScript
Python
C#
Kafka
Bash
Linux
Go
Airflow
C++
C
Athena
Rust
Azure
Spark
Golang
Expert level
Remote in US
More information about location
21-100 employees
FintechHealthcareB2BEnterprisePaymentsSaaS
Company mission
Rilatic is on a mission to make healthcare more efficient.
Role
Who you are
- 10+ years of overall hands-on professional experience with distributed systems engineering and asynchronous processing in a concurrent environment, including Goroutines or similar (coroutines), pointers, structures, REST and other API architectures, libraries, and interfaces
- (You understand that a service-oriented architecture doesn’t automatically mean microservices, you know the difference between threading and parallelism, and you have learned the hard way that “here be dragons” when someone tries to take a single-node system and turn it into a distributed system.)
- 5+ years of meaningful coding experience with Golang including shipping production systems written primarily in Go
- This is a hard requirement: although it’s a plus if you have experience with shipping code to production in other compiled languages (C, C++, C#, Rust, etc.) to be successful in this role you need to be able to read, understand, and contribute to a large and complex Go codebase from day one
- 5+ years of hands-on experience with our core technologies or similar technologies in a cloud environment, including Linux, Bash scripting, Kafka or a similar event-streaming system, SQS or some form of enterprise message bus or queue, Kubernetes or some other container orchestration system, Docker or some other OS-level virtualization system, and AWS (we don’t currently use Azure or GCP)
- We expect that you can learn some of these specific technologies on the job as long as you are already familiar with a related technology, understand the core concepts, and have a good understanding of how to architect cloud-native systems
- 2+ years of meaningful coding experience with Python
- (Our code for analyzing healthcare data and generating actionable insights is primarily written in Python, and it’s one of the most popular “second languages” among the folks on the team, so many internal tools are also written in Python.)
- Experience with application, server, and service security, secure development, and cryptography including protocols and technologies (eg. OAuth2, RSA/DSA and signing algorithms)
- Strong belief and demonstrated capabilities in leveraging the power of testing and test automation, including system performance qualification, application of load testing tools, monitoring, and tuning for stability
- (You believe that robust, data-driven testing and lights-out test automation make the world a better place and keep engineers from having to be woken up in the middle of the night during on-call rotations.)
- Familiarity with SQL, NoSQL, key-value stores, and related concepts, and at least some proficiency in SQL
- (We don’t need everybody to be a lights-out database developer but there are a lot of times when knowing how to query across different database systems and data stores is the fastest way to get information.)
- Excellent asynchronous communication, listening, and interpersonal skills, and you consider yourself a lifelong learner
- You’re motivated to learn new tools, technologies, and techniques, are happy to design and build your own tools if nothing good already exists, can synthesize information to see the big picture while effectively managing the details, and love to share your insights with others in a way that lifts everybody up instead of bringing anybody down
- (You aren’t afraid of writing or reading documentation and specifications – we’re a remote-first team, so the quality of our asynchronous communications makes a big difference in our effectiveness.)
- If you have experience with any of the following, that would be great, but none of these are expectations or requirements: regulated industry experience (eg. healthcare, finance, telecom; experience generally and experience with healthcare data in particular, and dealing with sensitive, private data such as PHI, HIPAA, PCI etc.)
- If you are a proactive and customer-centric developer with a passion for software engineering, we encourage you to apply for this role and become part of our innovative team
What the job involves
- 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!
- 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 take
Healthcare is a big business. In the U.S, it represents nearly 20% of GDP. Despite its immense value, the system is complex and many of the technologies are antiquated. That means hundreds of billions of dollars of administrative spending being wasted.
Rialtic attempts to recuperate some of these wasted dollars for healthcare insurers and providers. The startup’s flagship product is a payment accuracy product which brings programs in-house and helps health insurance companies gain total control over processes that have been managed by disparate and misaligned vendors.
Crucial to this service is the constant ingesting and structuring of healthcare payment policy documents and data. Rialtic is now seeking growth through additional products that can leverage this data to improve overall healthcare services as well. The company's latest Series B has achieved its $50 million funding goal, which is sure to help propel it forward.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jan 2024
$38m
SERIES B
Mar 2022
$28m
SERIES A
Total funding: $82.2m
Company benefits
- Freedom to work from wherever you work best and a home office stipend to make it happen
- Meaningful equity and 401k matching
- Unlimited PTO, comprehensive health plans and wellness reimbursements
- Comprehensive health plans with generous contribution to premiums
- Mental and physical wellness support through TalkSpace, Teladoc and One Medical subscriptions
Company HQ
Buckhead Forest, Atlanta, GA
Articles
Leadership
Doug Williams
(CEO)Previously founded Melioric, a private investment company. Before that, Founded iHealth Technologies (iHT) and served as CEO. iHT merged with Connolly in 2014 to form Cotiviti and went public in 2016.
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