Sr Software Engineer

As a senior software engineer, you will have the opportunity to contribute to Humana's innovative and home-built next-gen data analytics platform in Azure stack. This solution is bound to solve many challenges in healthcare services and provide a data foundation for ML and AI solution, seeking better business insights and ultimately make automated healthcare related decisions. Our data platform is distributed by domain and is novel solution beyond monolithic data lake.

Responsibilities

What It's Like to Work Here:

We take immense pride in cultivating a strong, person-first culture always looking for ways to be intentionally uncommon. Our team is made up of talented, creative, kind, fun, and energetic folks wired for continuous improvement.

To be great at Humana, we find our team members have these things in common:

Gain energy from working in a fast-paced, creative environment

Decision making that employs a blend of data-driven insights and intuition

Ability to multitask and handle multiple projects concurrently

Resilience and positivity, able to address setbacks and bounce back quickly

Resourcefulness, discovering creative ways to get things done

Joy in making an immediate and positive impact

Diverse interests that are welcome in and extend beyond our organization

Responsibility:

You will contribute to engineering efforts from design to implementation, solving complex technical challenges around developer and engineering productivity and velocity.

Design and build advanced automated build, test, and release infrastructure

Drive adoption of best practices in code health, testing, and maintainability

Analyze and decompose complex software systems and collaborate with cross-functional teams to influence design for testability

Bachelor's degree or equivalent practical experience

5 years of professional software development experience building highly scalable systems

Proficiency in at least one of the following programming languages: Java, Python, Go, Scala or Ruby

Experience with integration of data from multiple data sources

Experience with CI/CD principles, architecture and operations

Familiar with modern big data tools and API based webservice architecture

Preferred Qualifications:

Experience with azure tech stack

Solid working understanding in data modeling.

Experience with building stream-processing systems, using solutions such as Spark-Streaming or Flink

Experience with Oracle, PostgresSQL, Mongo development and optimization

Knowledge of messaging systems, such as Kafka or RabbitMQ