or apply directly on SimplePractice's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days SimplePractice's roles stay open a median of 36 days
- Reposted
- No
- Salary listed
- No 5% of SimplePractice's roles list one
- Ghost-job risk at SimplePractice
- high 13 stale, 0 reposted of 37 open
- Hiring momentum
- 57 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from SimplePractice's own greenhouse board since 2026-08-03. Full hiring picture for SimplePractice.
About this role
The DevOps Engineer will support and scale the Data and AI platform at SimplePractice by building and operating infrastructure for data pipelines and machine learning workloads. Responsibilities include developing CI/CD processes, managing infrastructure as code, and implementing monitoring and logging for data flow and model performance. The role also involves collaborating with machine learning teams to productionize models and improve the reliability and efficiency of data systems.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SimplePractice as an employer.
What you need
- 3+ years of experience in DevOps, SRE, or infrastructure engineering
- End-to-End MLOps/LLMOps Expertise: Experience deploying and maintaining ML/AI workflows
- Strong cloud experience (AWS preferred)
- Proficiency with Terraform (or similar IaC tools)
- Experience with Docker and Kubernetes
- Familiarity with CI/CD and Git-based workflows
Nice to have
- Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)
- Familiarity with LLM-based systems and AI observability (token usage tracking, prompt versioning) and evaluation loops
- Experience with real-time or high-throughput data systems
- Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)
- Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database
What you get
- Medical, dental, vision, life & disability insurance
- 401(k) plan with company match
- Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
- Mental health resources
- Paid parental leave & Backup Care
- Tuition reimbursement
Worth weighing
- Base salary range provided is $144,300 — $180,350, but no specific salary mentioned for the role itself
- No mention of remote work policy or flexibility in work location
- The role involves a focus on cost efficiency, which may imply budget constraints on projects
Summarised from SimplePractice's posting. Read the full original.
Listed by SimplePractice on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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