Automation Platform Engineer

Responsibilities

• Independently designs, develops, tests, and maintains complex software components and services addressing business and user requirements.
• Implements advanced features and enhancements using established coding standards, architectural patterns, and development best practices.
• Leads code reviews and provides constructive feedback to ensure code quality, maintainability, and performance.
• Collaborates with cross-functional technical teams to plan and execute technical initiatives, ensuring timely delivery of solutions.
• Troubleshoots, debugs, and resolves complex software defects and production issues, applying root‑cause analysis and corrective actions.
• Participates actively in the full software development lifecycle, including requirements analysis, design discussions, development, testing, deployment, and support.
• Applies secure coding practices, testing strategies, and documentation standards to ensure software quality and compliance with organizational guidelines.
• Mentors and supports junior engineers to foster technical growth and adherence to best practices.
• Utilizes and contributes to existing frameworks, tools, and technologies to enhance application development across relevant technology domains.

• Bachelor’s degree in computer science, Software Engineering, or related field with 5 years of relevant experience or equivalent education and training.
• In-depth knowledge of information systems and ability to identify, apply, and implement IT best practices.
• Strong proficiency with Ansible Automation Platform (AAP) including YAML/Jinja2 playbook authoring, RBAC, automation mesh, credential management, and Event‑Driven Ansible (EDA), with experience building AI‑assisted remediation workflows and GenAI‑integrated automation patterns.
• Hands‑on experience with Git Lab CI/CD including pipeline template design, runner configuration, protected branch enforcement, and SAST/SCA/secrets scan gate management, with familiarity with Git Lab Duo agentic capabilities spanning Fix Failed Pipelines and SAST Vulnerability Remediation.
• Solid experience with JFrog Artifactory repository administration, tagging policies, and artifact promotion workflows, and Sonar Qube quality gate configuration and code quality enforcement.
• Solid understanding of REST APIs, Git‑based source control workflows, containerization with Podman and Docker, and Kubernetes‑based workload management.
• Strong scripting skills in Python and Bash with experience in infrastructure‑as‑code, policy‑as‑code, and AI‑assisted code generation patterns in regulated environments.
• Expertise with Open Telemetry (OTel) including custom instrumentation, collector configuration, and observability pipeline design for traces, metrics, and logs across service meshes, APIs, and event‑driven platforms, with experience using telemetry data to drive AI‑informed platform reliability.
• Knowledge of networking fundamentals, security hardening, RBAC design, and system performance tuning in regulated enterprise environments.
• Excellent problem‑solving and communication skills with a passion for translating complex platform challenges into elegant, automated solutions that developers love to use.