DevOps Engineer

Key Responsibilities

• Build, maintain, and improve highly available, performance-sensitive production infrastructure.
• Support and troubleshoot Linux and Windows server environments.
• Develop and optimize CI/CD pipelines across on-premises and cloud-based infrastructure.
• Create automation tools and scripts using Python, Bash, PowerShell, or similar technologies.
• Improve monitoring, observability, alerting, and overall system reliability.
• Troubleshoot complex infrastructure, application, operating system, and networking issues.
• Collaborate directly with software engineers and other technical stakeholders to support new projects and platform enhancements.
• Implement infrastructure-as-code and automation best practices.
• Improve deployment reliability, operational efficiency, and system visibility.
• Participate in infrastructure design discussions and contribute ideas for technical improvements.
• Take increasing ownership of systems and projects as you grow within the organization.

Requirements & Tech Stack

• Windows Server and/or AWS environments.
• Scripting experience using Python, Bash, PowerShell, or similar languages.
• Familiarity with containerization, automation, and deployment technologies.
• Solid understanding of TCP/IP networking and core networking concepts.
• Ability to investigate and resolve technical issues across applications and infrastructure.
• Willingness to work on-site.

Qualifications

• 0–3 years of professional experience in DevOps, Infrastructure Engineering, Site Reliability Engineering, Systems Administration, or a related technical discipline.
• Strong foundational knowledge of systems administration and troubleshooting.
• Strong communication skills and a collaborative, problem-solving mindset.
• Exposure to database administration or database-related infrastructure.
• Naturally curious, takes initiative, enjoys understanding how systems work, and wants to continually develop technical abilities.

Nice to Have

• Kubernetes, Docker, or other container orchestration technologies.
• GitLab, JFrog, Ansible, or comparable DevOps tooling.
• Monitoring, logging, observability, and alerting platforms.
• Infrastructure-as-code and configuration management.
• On-premises infrastructure, data centers, or hybrid cloud environments.
• Performance-sensitive or low-latency systems.
• Network diagnostics, packet analysis, and advanced troubleshooting.
• High-performance networking or distributed systems.
• JSON, XML, Parquet, or similar data formats.
• Financial technology or other mission-critical production environments.