Senior Software Engineer II - Risk
@ AledadeSenior Software Engineer II - Risk
About the job
Aledade is a healthcare company enhancing patient care via innovative technology. The role involves building reliable web apps, data pipelines, and mentoring engineers to deliver secure, high-quality solutions.
Requirements
- 6+ years building web applications
- Experience with SQL and databases
- Trusted technical decision-maker
- Mentoring and coaching skills
- Agile development experience
Qualifications
- BS or higher in CS or related
- Experience with full-stack development
- Knowledge of data ingestion systems
- Familiarity with cloud technologies
Full 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:
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.