Staff Software Engineer - Risk Engine

Aledade

8-8 Years | United States (Remote) | Full Time | 6 months ago

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Job Summary

As a Staff Software Engineer, you will build the next generation of distributed data storage and processing systems, moving beyond traditional monolithic SQL engines and batch pipelines. You will develop systems that scale indefinitely, surpass traditional query performance, and offer simple, expressive, and cleanly abstracted interfaces for various data consumers including web applications, business analytics, and artificial intelligence. Key responsibilities include identifying and developing scalable and performant solutions, shaping product strategy across disciplines, establishing code architecture and quality foundations, mentoring engineers, and setting standards for high-quality engineering processes.

Must Have

BS/BTech in Computer Science, Engineering or related field.
8+ years of production-level experience building scalable systems.
4+ years as a technical decision-maker.
4+ years with SQL on large datasets.
Experience architecting large-scale distributed systems.
Experience with cloud technologies (AWS, Azure, GCP).
Experience building CI/CD pipelines.
Strong familiarity with server-side web technologies (Java, Python, Scala, C#, C++, Go).

Good to Have

8+ years building scalable backend systems.
Experience with AWS technologies, Kafka.
In-depth knowledge of database systems.
Experience in performance monitoring and optimization.
Collaborate with cross-functional teams.
Lead and mentor junior engineers.
Experience with containerization (Docker, Kubernetes).
Experience with security and sensitive data handling.
Familiarity with database replication and sharding.
Stay current on industry trends and best practices.

Job Description

As a Staff Software Engineer, you will take us beyond traditional monolithic SQL engines and batch pipelines. You will build the next generation of distributed data storage and processing systems. You will build systems that can scale indefinitely, and surpass traditional query performance, while making the interfaces for that data simple, expressive, and cleanly abstracted. Your interfaces will support a broad array of data consumers, from our web application, to business analytics, and artificial intelligence.

Primary Duties:

Identify and develop scalable and performant solutions.
Work across discipline to shape product strategy and execution.
Develop the foundations of code architecture and quality.
Mentor and coach engineers ,
Set and uphold the standard for engineering processes to support high-quality engineering.

Minimum Qualifications:

BS/BTech (or higher) in Computer Science, Engineering or a related field required.
8+ years of production-level experience as an engineer building highly scalable systems.
4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
Experience architecting, developing, and deploying large-scale distributed systems at scale.
Experience with cloud technologies, e.g., AWS, Azure, GCP.
Experience building continuous integration and continuous development (CI/CD) pipelines.
Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).

Preferred KSAs:

8+ years experience as an engineer building scalable and reliable backend systems.
Experience working with AWS technologies, Kafka etc.
In-depth knowledge of database systems.
Experience in performance monitoring and optimization of data systems and infrastructure.
Collaborate with cross-functional teams to define and implement technical solutions for complex problems in healthcare.
Lead and mentor junior engineers, providing guidance and support in their professional development.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Experience building continuous integration and continuous deployment(CI/CD) pipelines.
Experience with security and systems that handle sensitive data.
Familiarity with database replication, sharding and other techniques for scalability and high availability of databases.
Stay current on industry trends, best practices, and emerging technologies in software development. Advocate for process enhancements and adopt new tools and technologies to boost productivity and efficiency.