We are looking for a highly motivated and talented Cloud Infrastructure DevOps Engineer with a strong background in software development, software engineering, and automation to join Anblicks’ data and analytics platform engineering group.
You will be joining a growing team focused on maintaining and supporting business-critical systems centered around infrastructure automation and IaaS services across public cloud platforms. This role plays a key part in enabling scalable, secure, and high-performance cloud environments that power enterprise data and analytics solutions.
What You Will Do
Develop, improve, and expand deployment pipeline infrastructure and automation services
Work closely with development teams to provide self-service test integration, improved test coverage, and deployment quality
Collaborate with Security Engineering and Architecture teams to ensure code meets security standards and aligns with governance processes
Debug and resolve issues developers encounter when using cloud services, continuously improving developer experience
Execute against a vision of continuous integration and continuous delivery that empowers engineering teams
Remediate identified code and dependency chain vulnerabilities
Work closely with teammates, product owners, and project managers in an agile development environment
Provide formal and informal mentorship to junior engineers
Review code submissions and provide constructive feedback to ensure ongoing code quality
What You Will Need
Strong experience building Infrastructure-as-Code for public cloud environments using Terraform
Experience in a DevOps Engineering or similar platform engineering role
Experience developing, enhancing, and maintaining CI/CD automation and configuration management using tools such as Jenkins, Snyk, and GitHub
Familiarity with large-scale production systems and technologies (load balancing, monitoring, distributed systems, configuration management)
Development skills in JavaScript, Python, Node.js, and/or Bash
Knowledge of testing automation and code scanning tools
Experience running distributed systems in public cloud environments such as AWS, Azure, and GCP
Knowledge of container orchestration platforms such as Kubernetes
Understanding of CDNs, DNS, web servers, and supporting internet services
Experience with Git source code management and standard GitFlow workflows
Familiarity with infrastructure security, reliability, and fault tolerance best practices
Passion for automating and continuously improving engineering processes
What Will Set You Apart
AWS Associate or Professional Certification (or GCP/Azure equivalent)
Exposure to Generative AI tools or AI-enabled automation workflows
Strong communication skills and the ability to collaborate effectively across cross-functional teams
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