Senior DevOps Engineer

Pslgroup; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Pslgroup is seeking a Senior Engineer to own cloud infrastructure and DevOps for production web apps on AWS. The role blends hands-on infrastructure-as-code with experimentation in agentic AI and AI-powered observability to boost developer velocity and reliability across the SDLC.

You will architect automated AWS infrastructure using Terraform, OpenTofu, Ansible, and CloudFormation, design a CI/CD pipeline with agentic AI, and pilot AI services like Bedrock or Claude for internal tooling.

Qualifications

• 5–7 years in web development, deployment, and support.
• 3–5 years with AWS and DevOps.
• Familiarity with AI-assisted development tooling and AIOps concepts.

Responsibilities

• Architect and automate AWS infrastructure using Terraform, OpenTofu, Ansible, and CloudFormation for scalable workloads.
• Design and improve an agentic CI/CD pipeline aligned with shift-left delivery practices.
• Evaluate and pilot generative AI services for internal developer tooling.
• Maintain AI agent skills and runbooks for automated incident investigation and root-cause analysis.
• Implement and tune monitoring, logging, and alerting following SRE principles; explore AI-powered observability for anomaly detection.

Skills

AWS

Terraform

CloudFormation

Ansible

AI tooling

DevOps

SRE practices

Agile/Scrum

Education

Computer science degree or equivalent

Tools

Terraform

OpenTofu

Ansible

CloudFormation

Datadog

New Relic

Dynatrace

GitHub Copilot

Job description

Role overview

Senior engineering role focused on cloud infrastructure and DevOps practice for production web applications running on AWS. The position blends hands‑on infrastructure-as-code work with experimentation in agentic AI and AI-powered observability, aimed at improving developer velocity and operational reliability across the SDLC.

Responsibilities

• Architect and automate AWS infrastructure using Terraform, OpenTofu, Ansible, and CloudFormation for scalable, reliable workloads.
• Design and continuously improve an agentic CI/CD pipeline aligned with shift‑left delivery practices.
• Evaluate and pilot generative AI services (for example, Bedrock, AgentCore, or Claude) for internal developer tooling.
• Maintain AI agent skills and runbooks that support automated incident investigation and root‑cause analysis.
• Implement and tune monitoring, logging, and alerting following SRE principles, and explore AI‑powered observability for anomaly detection and alert correlation.
• Collaborate with development, product, and security teams on DevOps initiatives, perform code reviews, and contribute hands‑on to complex or sensitive parts of the codebase.

Requirements

• 5–7 years in web development, deployment, and support, including 3–5 years with AWS and DevOps.
• Hands‑on experience with Terraform, CloudFormation, and Ansible in multi‑region or global architectures.
• Familiarity with AI‑assisted development tooling (such as Claude Code or GitHub Copilot) and AIOps concepts.
• Comfort working with agentic AI primitives like MCP and tool use, including authoring prompts or agent skills.
• Strong written and verbal communication, plus Agile/Scrum experience.

Nice to have

• Exposure to AI‑powered observability platforms such as Datadog, New Relic, or Dynatrace.
• A computer science degree or equivalent practical experience.