Site Reliability Engineer

Humana•Work at Home - Kentucky, KY

1d•$80,900 - $110,300•Remote

About The Position

The Site Reliability Engineer 2 is a product-focused engineering role on the AI and Operations Engineering team. The role designs, builds, deploys, and supports internal solutions that reduce operational toil and improve the efficiency of support and operations teams. It helps deliver AI-powered capabilities to support engineers through reliable, scalable products and automations for incident response, troubleshooting, knowledge access, and operational workflows. The engineer works on a cross-functional team using technologies such as Python, Angular, SQL, Databricks, SSIS, and enterprise AI gateways. The position combines software engineering with an understanding of operational challenges and familiarity with selecting and tuning models for product use cases. The engineer collaborates with leads, architects, product stakeholders, and team members to deliver user stories, technical tasks, and production-ready solutions. This is a remote position. Occasional travel to Humana offices for training or meetings may be required. Home-based employees must use a dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information and maintain internet service with at least 25 Mbps download and 10 Mbps upload speeds. The scheduled workweek is 40 hours. The stated annual base pay range is $80,900–$110,300, and the role is eligible for a bonus incentive plan.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
At least 3 years of experience in software development, automation engineering, application support engineering, site reliability engineering, or a related technical role.
At least 3 years of hands-on experience developing applications and automation solutions using Python and SQL.
Experience building, enhancing, and supporting web-based applications, APIs, automation tools, or enterprise software solutions.
At least 1 year of experience with Angular or a similar front-end framework such as React or Vue.
Experience with data engineering, ETL, or integration technologies, including Databricks, SSIS, or comparable platforms.
Working knowledge of the software development lifecycle, including requirements gathering, testing, deployment, version control, and production support.
Experience troubleshooting and resolving complex technical issues in production or operational environments with minimal supervision.
Ability to work effectively in Agile teams and collaborate with engineers, architects, and business stakeholders.
Strong written and verbal communication skills, including the ability to translate technical concepts into practical business outcomes.

Nice To Haves

Experience building AI-enabled or ML-enabled applications in an enterprise environment.
Exposure to model evaluation, prompt tuning, retrieval-based patterns, or selecting models based on cost, performance, and use case.
Knowledge of cloud platforms, data pipelines, observability, and automation frameworks.

Responsibilities

Design, develop, test, and deploy internal products and automations that reduce manual operational effort and improve support team productivity.
Build AI-enabled solutions to assist support engineers with troubleshooting, summarization, knowledge retrieval, work note generation, and operational decision support.
Develop and maintain applications and services using Python, Angular, SQL, Databricks, SSIS, and related enterprise technologies.
Integrate applications with enterprise AI gateways and approved model platforms for secure, scalable AI capabilities.
Participate in model selection, evaluation, and basic tuning to align AI capabilities with product requirements and operational use cases.
Translate operational pain points and support team needs into practical product features and technical solutions.
Collaborate with engineers, architects, and technical leads to deliver stories, tasks, and enhancements in an agile environment.
Support deployment, monitoring, reliability, and continuous improvement of products in production.
Contribute to coding standards, testing practices, documentation, and operational readiness.
Identify opportunities for automation, self-service, and intelligent tooling across support and reliability workflows.
Follow enterprise architecture, security, compliance, and software development standards.