Remote AI-Powered SRE & Automation Engineer

Humana, Inc.

Kentucky

Hybrid

USD 81,000 - 110,000

Full time

9 days ago

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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings

Job summary

Humana, Inc. is seeking a Site Reliability Engineer 2 to design, build, and deploy internal AI-enabled products that reduce manual toil for support teams. You will work with Python, SQL, Angular, Databricks, and SSIS to deliver reliable, scalable solutions, collaborating in an Agile environment.

The role emphasizes production support, automation, and secure integration with enterprise AI gateways, with opportunities to influence product features and automation strategies.

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.).
  • Experience with data engineering, ETL, or integration technologies, including Databricks, SSIS, or comparable platforms.
  • Working knowledge of SDLC, 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 to deliver technical solutions.
  • Strong written and verbal communication skills, with the ability to translate technical concepts into practical business outcomes.

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.

Skills

Python
SQL
Angular
Agile methodologies
Communication skills

Education

Bachelor’s degree or equivalent

Tools

Databricks
SSIS

Job description

Humana, Inc. is seeking a Site Reliability Engineer 2 to design, build, and deploy internal AI-enabled products that reduce manual toil for support teams. You will work with Python, SQL, Angular, Databricks, and SSIS to deliver reliable, scalable solutions, collaborating in an Agile environment.

The role emphasizes production support, automation, and secure integration with enterprise AI gateways, with opportunities to influence product features and automation strategies.

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