Sr. DevOps Engineer-Remote -W2 Role

Remote • Posted 12 hours ago • Updated 12 hours ago
Contract W2
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • DevOps
  • CI/CD
  • Terraform
  • Kubernetes
  • Docker
  • AWS
  • Azure
  • Python
  • Jenkins
  • GitHub Actions
  • Infrastructure as Code
  • DevSecOps
  • Monitoring
  • Prometheus
  • Grafana
  • ELK
  • Automation
  • SRE

Summary

Title - Sr. DevOps Engineer

Location-Remote

Duration Contract

Job Summary: Senior technical contributor responsible for delivering and governing development-stage DevOps build work for internal-use software and platform components (e.g., CI/CD, infrastructure-as-code, deployment automation) and ensuring release readiness through initial testing evidence and technical artifacts.

Key Responsibilities:

  • Design and implement development-stage automation and platform components (coding/configuration) tied to approved scope and milestones.
  • Build and maintain CI/CD pipelines and deployment workflows; create reusable templates and standards that support scalable delivery.
  • Develop infrastructure-as-code required for new/enhanced application functionality (e.g., environment provisioning, secrets/configuration patterns) and support initial environment validation.
  • Establish release quality gates (code review, static checks, initial test evidence) and provide go-live readiness sign-off for defined releases.
  • Produce and maintain technical artifacts (ADRs, design notes, runbooks for initial release) and ensure traceability between tasks, code changes, and deliverables.
  • Mentor mid-level engineers and coordinate with Product/Architecture on implementation decisions.

Required Qualifications:

  • 7+ years of experience in DevOps / Platform Engineering / SRE with hands-on build delivery.
  • Strong proficiency with CI/CD tooling and workflow automation.
  • Experience authoring and reviewing infrastructure-as-code (e.g., Terraform, CloudFormation, Bicep) and configuration management.
  • Proficiency in at least one scripting/programming language used for automation (e.g., Python, Bash, PowerShell).
  • Experience implementing secure deployment patterns (secrets management, least privilege, auditability).
  • Demonstrated ability to produce technical documentation and delivery artifacts suitable for audit/traceability.Preferred Qualifications:
  • Experience supporting AI/ML platforms and data pipelines in production environments.
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes) and/or cloud-native deployment patterns.
  • Familiarity with regulated or governed environments requiring documentation and change control.

Deliverables / Success Measures: Implemented and documented pipelines/automation aligned to scope; reproducible environment provisioning;

successful completion of initial testing evidence for targeted releases; traceabale artifacts linking tasks - code - test - deployment readiness

Regards,

Sai Srikar

Email:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91081414
  • Position Id: 8932945
  • Posted 12 hours ago
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