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Careers at reveleer
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Senior DevOps Engineer

Full Time
full time
Architectural, Engineering, and Related Services
20 Jan 2025
Glendale

About the job

Summary/Objective

Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrolment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes.

Reveleer’s Technology organization is focused on building and managing our cloud native SaaS platform. We are looking for a talented Senior DevOps Engineer to join our team. The person will work closely with our development and cloud engineering teams to ensure our paths to production provide an excellent developer experience, while ensuring that our infrastructure choices deliver an excellent customer experience. The ideal candidate will be comfortable navigating between software engineering and cloud engineering domains.


Responsibilities

  • Migrate existing cloud infrastructure to Infrastructure as Code (IaC) via tools like Terraform.
  • Build out and enhance scalable containerized infrastructure using Kubernetes (k8s) and EKS.
  • Assist software engineers with migration of applications to leverage configuration management and configuration as code (CaC) using tools like Docker.
  • Configure and optimize CI/CD pipelines to minimize lead time for changes, including pipelines for infrastructure changes.
  • Ensure applications and infrastructure are properly instrumented via observability tooling to improve alerting, monitoring, and incident response.
  • Recommend infrastructure improvements to ensure architectures are centered around customer needs, and improve overall cloud architecture goals around availability, scalability, reliability, security and costs, and metrics like MTTR, MTBF, etc.
  • Automate existing manual workflows and implement controls around them in line with the company's security and compliance goals.

Required Education and Experience

  • 8+ years of experience in DevOps or SRE fields, with current experience supporting engineering teams implementing scalable cloud architectures using CaC, IaC, and Kubernetes.
  • Strong proficiency w/ AWS (certification preferred), including expert-level knowledge of cloud networking and security best practices.
  • Strong programming and/or scripting experience in languages like Python and bash, including extensive experience with source code management and deployment pipelines.
  • Extensive experience leveraging observability tooling for logging, monitoring, alerting, incident management, and escalation.
  • Exceptional debugging and troubleshooting ability.
  • Familiarity with web application architecture concepts, such as databases, message queues, serverless and event-driven architectures, and caching mechanisms.
  • Ability to work with Engineering teams to identify and resolve performance constraints.
  • Experience managing cloud infrastructure for SaaS applications.
  • Experience leading a major cloud migration (on-premise to cloud, poly-cloud, etc.) preferred.
  • Experience enabling a continuous deployment capability in a previous role preferred.
  • Demonstrated experience guiding and leading other DevOps, cloud, and software engineers, leveling up technical proficiency and overall cloud capabilities.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.



Last updated on Jan 20, 2025

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Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

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  • Video interviews with AI-based answer analysis
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  • Recruitment process automation and reduced time-to-hire

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