Sr. DevOps Engineer
Lyra Health is hiring a Sr. DevOps Engineer for a remote role open to applicants in United States. It pays $128k-$176k a year and Level rates it ; you can apply on Lyra Health.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include SageMaker.
- Level lists 475 other open roles at Lyra Health.
AI in this role
About the Role:
We’re looking for an exceptional Sr. DevOps Engineer to join our team. As a Lyra Sr. DevOps Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure, as well as supporting our software delivery pipelines. We care deeply about making a difference in people’s lives, and we hope you do too!
You will focus heavily on modernizing our platform tooling, evolving our production Elastic Kubernetes Service (EKS) footprint, and optimizing our managed cloud datastores (AWS RDS, Aurora, ElastiCache). If you love creating frictionless experiences for developers and automating core infrastructure, this role is for you.
This is a remote role however candidates must reside within the United States.
Responsibilities
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Design and implement infrastructure using tools such as Terraform/OpenTofu, Python, and Kubernetes onto our AWS cloud platform.
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Collaborate closely with the engineering, data science and machine learning teams to continually implement, maintain, and improve our cloud infrastructure and developer experience.
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Platform & Tooling Focus: Apply a software product mindset to build, maintain, and abstract internal platform tools, developer templates, and self-service CI/CD pipelines.
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Automate infrastructure and operations tasks using scripting languages.
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Security & Governance: Operationalize cloud security by enforcing continuous vulnerability remediation, strict IAM policies, and compliance guardrails directly within platform pipelines.
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Monitor and analyze systems and network performance, and implement proactive measures to ensure the availability and reliability of our infrastructure.
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Enforcing IAM processes and tools that ensure compliance with data privacy and protection regulations.
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Working alongside engineers to ensure that security vulnerabilities are remediated.
Qualifications
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5+ years in a DevOps, SRE, or Infrastructure role heavily focused on public cloud environments (AWS required).
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Experience with Amazon Web Services (AWS) a must, especially many of the following:
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EKS, SageMaker, EC2, ECS, VPC, IAM, KMS, RDS, ELB/ALB, MWAA, Identity Center
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Strong IaC Practices: Demonstrated experience building modular, reusable Terraform or OpenTofu infrastructure.
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Experience building and maintaining templates and packages with Helm.
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Experience developing CI/CD pipelines with tools such as GitHub Actions, Jenkins, and/or ArgoCD.
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Deep EKS & Container Expertise: Hands-on experience administering, scaling, and troubleshooting multi-tenant Kubernetes (EKS) environments in production.
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Strong coding skills in Python, Go, or Bash to write automation scripts, tools, and integrations for internal development teams.
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Effective communication and collaboration skills, ability to work independently and as part of a team, and excellent problem-solving and troubleshooting skills.
Preferred Qualifications
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Experience with modern cluster autoscaling strategies (e.g., Karpenter) and cloud cost optimization techniques.
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Familiarity with developer self-service tooling or internal developer portals
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Proficiency with logging analysis, performance monitoring, and performance tuning.
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Background supporting ML/Data Science workloads in cloud environments (e.g., SageMaker integrations, feature stores).
How we rate this
Sr. DevOps Engineer at Lyra Health rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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