DevOps Engineer
Alquemy Search & Consulting
Job Description
As a DevOps Engineer, you will be the architect of our deployment and release ecosystems. Reporting to the AVP of Software Development, you will develop, document, and implement high-performance deployment and patch management processes. You will partner with Enterprise Systems Admins to automate solution deployments, drastically reducing risk and time-to-market across all supported environments.
Responsibilities: Pipeline Optimization: Improve and streamline the development lifecycle, including building, testing, integrating, and deploying software artifacts and infrastructure. Developer Enablement: Ensure the development team can deploy code with maximum speed, reliability, and security. Platform Collaboration: Work cross-functionally with Development and Infrastructure teams to maintain and enhance platform stability.
Security & Compliance: Partner with Information Security for audits, proactively implementing improvements and managing configurations within Change Management protocols. Cloud Leadership: Lead the strategic transition of software into the cloud, managing infrastructure services, monitoring, and databases. Operational Excellence: Resolve escalated issues and analyze incidents to minimize downtime, ensuring high-quality, durable systems are delivered on time and within budget.
Innovation: Stay current on technology trends and provide expertise in scaling and architecting data-intensive applications. Qualifications: Education: University degree in Engineering, Science, or a related Quantitative discipline. Experience: 8–10 years of professional experience, specifically with complex, high-availability applications.
Cloud Mastery: Expert-level experience with Azure and distributed systems. Containerization: Proven hands-on experience with Docker and Kubernetes. Automation Suite: Proficiency with tools such as Jenkins, JFrog, and SCM tools like Git, BitBucket, or GitHub.
Systems Programming: Strong scripting skills (Bash/Shell) and an understanding of modern data architectures. Soft Skills: Exceptional technical judgment, a team-oriented mindset, and the ability to prioritize tasks in a fast-paced, multi-task environment.