Work Whale
Find JobsFind WorkersPost a JobHire TalentPricingHow It WorksAbout
Log InSign Up Free
Back to jobs
Work Whale

Connecting great employers with talented remote workers worldwide.

For Workers

  • Browse Jobs
  • Create Profile
  • How It Works

For Employers

  • Post a Job
  • Hire Talent
  • How It Works

Company

  • About Us
  • Pricing
  • Contact
  • Privacy Policy
  • Terms of Service

© 2026 Work Whale. All rights reserved.

Built for remote work, made for everyone.

S-

Senior DevOps Engineer

Socium - Teams Done Differently

Remote Posted Jul 13, 2026
Full TimeDevOps & Infrastructure

Job Description

About The Role The DevOps Engineer will leverage leading AI models to design, implement, and manage scalable, secure, and reliable cloud infrastructure. Responsibilitie sDesign, implement, and manage scalable, secure, and reliable cloud infrastructure using AWS services .Own the technical design of infrastructure components - produce architecture decision records (ADRs) and present trade-offs to stakeholders .Use AI-assisted coding tools (e.g., Kiro, Copilot, or similar) to accelerate infrastructure development, code review, and troubleshooting .Collaborate with software engineers, QA engineers, and Project Managers to ensure seamless integration and deployment of applications .Implement and manage CI/CD pipelines to streamline the software development lifecycle and ensure rapid, reliable releases .Setup observability to monitor system performance, availability/issues, and implement solutions to address the findings .Ensure security best practices are followed and implement necessary measures to protect cloud infrastructure and applications .Participate in agile ceremonies and contribute to an agile mindset within the team .Maintain detailed documentation of infrastructure, processes, and configurations .Assist in upskilling other team members of the team .Author and maintain AI agent steering files, skills, and prompts that encode team standards and automate repetitive DevOps workflows .Validate AI-generated code against the same quality gates as human-written code (SAST, SCA, secret scanning, peer review) — no exceptions for AI output .Contribute to the continuous improvement of AI-driven workflows, identifying opportunities where agents or automation can reduce toil . Qualificatio ns7+ years of hands-on DevOps/Platform Engineering experience, with at least 2 years focused on AWS or equivalent cloud platform s.Proven experience as a Senior DevOps Engineer, preferably in the finance secto r.Strong understanding of AWS services and hands-on experience with Infrastructure as Code (IaC), particularly using AWS CD K.Proficiency in Python for infrastructure automation and AWS CDK developmen t.Experience with CI/CD tools and relevant programming frameworks (e.g., GitLab CI/CD, Python or equivalent ).Fluent in containerisation and orchestration tools (e.g., Docker, Kubernetes ).Experience with Helm Charts for managing Kubernetes clusters (EKS ).Experience with OpenTelemetry and the LGTM stack of observability tool s.Experience working in agile environments and a strong agile mindse t.Attention to detail and the ability to work under pressure without being distracted by complexit y.Excellent problem-solving skills and the ability to think critically and creativel y.Strong collaboration skills and the ability to communicate effectively with team members and stakeholder s.Passion for automation and a commitment to maintaining high standards of infrastructure managemen t.Comfortable working with AI-assisted development tools (e.g., AI code assistants, LLM-based agents) and willing to learn prompt engineering techniques to improve their effectivenes s.Awareness of responsible AI usage in enterprise environments — understanding that AI output requires human review, must not be trusted with secrets or PII, and must pass through standard security gate s. Required Ski llsStrong communication skills, both written and verb al.Proficiency in AWS services and Infrastructure as Code (IaC) using AWS C DK.Strong understanding of CI/CD pipelines and too ls.Experience with containerisation and orchestration tools (e.g., Docker, Kubernete s).Familiarity with version control systems (e.g., Git) and backlog management tools (e.g., JIR A).Ability to write clear and concise documentati on.Ability to work effectively as part of a team and independently when requir ed.Willingness to adopt AI-assisted workflows and contribute to their refinement — including writing structured prompts, reviewing AI-generated infrastructure code, and encoding team knowledge into reusable automation (steering files, agent skills, hook s). Preferred Sk illsExperience with AI-assisted development to ols.Knowledge of prompt engineering techniq ues.

Requirements

  • Python — 2 years
  • AWS — 2 years
  • Agile — 2 years
Competitive salary

Competitive compensation

Apply Now

Sign in to submit your application

About Socium - Teams Done Differently

S-

Socium - Teams Done Differently

CategoryDevOps & Infrastructure
TypeFull Time
LocationRemote
ExpiresNo expiry