Aledade PBC
Senior Software Engineer II - Risk
Employment
Full-timeFrom the employer
Full Time
Level
SeniorTeam
Engineering / TechnologyCountry assessment
Not doable from Austria because it is remote but scoped to United States.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
As a Senior Software Engineer II at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.
They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value.
Primary Duties:
- Develop and implement scalable and performant solutions.
- Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.
- Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field.
- 6+ years experience as an engineer building full-stack web applications as part of a cross-functional team.
- 3+ years of experience working with SQL or other database querying language on large multi-table data sets.
- 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 3+ years of experience coaching other engineers.
Preferred KSAs:
- Experience building a full stack web applications in any language/framework.
- Expertise in at least 1 server-side web technology (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM).
- Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis.
- Familiarity with relational database systems.
- Experience with API design and development.
- Experience with cloud based technologies such as AWS, Azure or google cloud.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity with continuous integration and continuous deployment(CI/CD) pipelines.
- Experience with security and systems that handle sensitive data.