Site Reliability Engineer at Humana

Job description

Become a part of our caring community The Site Reliability Engineer 2 maintains, integrates and implements software applications within the organization. The Site Reliability Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Site Reliability Engineer is a product-focused engineering role within the AI and Operations Engineering team, responsible for designing, building, deploying, and supporting internal solutions that reduce operational toil and improve the efficiency of support and operations teams. This role helps bring AI-powered capabilities into the hands of support engineers by developing reliable, scalable products and automations that improve incident response, troubleshooting, knowledge access, and operational workflows. The associate will work as part of a cross-functional engineering team to deliver solutions using technologies such as Python, Angular, SQL, Databricks, SSIS, and enterprise AI gateways for secure integration with AI models. This role requires a strong software engineering mindset, a practical understanding of operational challenges, and familiarity with selecting and tuning models for specific product use cases. The Site Reliability Engineer collaborates closely with leads, architects, product stakeholders, and team members to deliver user stories, technical tasks, and production-ready solutions. Key Responsibilities Design, develop, test, and deploy internal products and automations that reduce manual operational effort and improve support team productivity. Build AI-enabled solutions that help support engineers with activities such as 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 to enable secure and scalable AI capabilities. Participate in model selection, evaluation, and basic tuning activities 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 assigned 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 for developed solutions. Identify opportunities for automation, self-service, and intelligent tooling across support and reliability workflows. Follow enterprise architecture, security, compliance, and software development standards. Use your skills to make an impact Required Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field, or equivalent practical experience. 3+ years of experience in software development, automation engineering, application support engineering, site reliability engineering, or a related technical role. 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. 1+ years of experience working with Angular or similar front-end frameworks (React, Vue, etc.) to develop and maintain user-facing applications. Experience with data engineering, ETL, or integration technologies, including Databricks, SSIS, or comparable platforms. Working knowledge of software development lifecycle (SDLC), including requirements gathering, testing, deployment, version control, and production support. Experience troubleshooting and resolving complex technical issues in production or operational environments wi