Software Engineer

Location: [Fully remote]

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.Monks Technology Services, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries.

About the Role

As a Software Engineer, you’ll build and improve modern engineering systems across application development, deployment automation, infrastructure, and observability. You’ll work in an environment where code, CI/CD pipelines, containerized workloads, Kubernetes deployments, and monitoring are deeply connected, helping ensure systems are reliable, scalable, and fully observable in production.

Responsibilities

• Design, implement, and maintain CI/CD pipelines using GitHub Actions
• Manage repositories using Git best practices, including branching strategies, pull request workflows, and automation
• Develop backend services and internal tooling using TypeScript and Python
• Containerize applications using Docker and apply containerization best practices
• Deploy, operate, and troubleshoot workloads in Kubernetes environments
• Implement and maintain cloud infrastructure and services in Microsoft Azure
• Establish observability best practices through logs, metrics, and traces
• Install, configure, and maintain Datadog agents and integrations
• Centralize, manage, and optimize logs using Splunk
• Create dashboards and alerts to monitor system health and reliability
• Perform incident triage and root cause analysis for production issues
• Continuously improve deployment reliability, system performance, and engineering workflows
• Collaborate with technical and non-technical stakeholders to support reliable system delivery
• Other duties as assigned

About You

Qualifications & Skills

• 3+ years of relevant work experience
• Strong experience with CI/CD automation and GitHub Actions
• Proficiency with Git, pull requests, branching strategies, and repository management
• Experience developing with TypeScript and/or Python
• Hands-on experience with Docker and container optimization best practices
• Strong working knowledge of Kubernetes, including deployments, services, scaling, and troubleshooting
• Experience with Microsoft Azure cloud services
• Experience implementing observability solutions using Datadog and Splunk
• Knowledge of log management, monitoring strategies, dashboards, and alerting
• Comfort using the command line and troubleshooting producti