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We are seeking an experienced Senior DevOps Engineer to join our team and drive the design and implementation of scalable cloud infrastructure solutions.
In this role, you will be instrumental in building and optimizing our development pipelines, with a particular focus on supporting machine learning workflows.
You'll work with cutting-edge technologies to create robust, automated systems that enable our engineering teams to deploy with confidence and speed.
Key Responsibilities Design and implement internal tooling solutions on cloud platforms (AWS) Build and maintain CI/CD pipeline orchestration using Jenkins, ArgoCD, n8n, Airflow, or similar tools Perform code refactoring and optimization, including containerization, deployment, versioning, and monitoring of quality metrics Focus on developing new tools and infrastructure for ML workflows Participate in on-call rotation to ensure system reliability and respond to production incidents Proven ability to design and implement cloud solutions with expertise in building pipelines on AWS Strong experience with Docker and Kubernetes, specifically Amazon EKS Proficiency in at least one of the following programming languages: Python, Go, Java, JavaScript, and Bash Solid understanding of Linux systems and command-line operations Demonstrated experience with software development and test automation frameworks Self-starter mentality with the ability to quickly learn new tools and frameworks Preferred Qualifications Experience with databases such as Oracle and MongoDB What We're Looking For The ideal candidate is someone who thrives in a fast-paced environment, takes ownership of complex problems, and is passionate about automation and infrastructure excellence.
You should be comfortable working across the full DevOps lifecycle and collaborating with cross-functional teams to deliver high-quality solutions.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.