As a DevOps Engineer, you will be responsible for designing, deploying, and continuously improving the Trading Recording solution on Microsoft Azure. As part of our growing team, you will collaborate with engineers across the globe in a supportive, team-oriented environment.
Required Qualifications
� 3+ years of networking experience working with firewalls, load balancers, DNS.
� 2+ years of experience working with Git-based source control systems, preferably Bitbucket or GitHub.
� 1+ year of experience writing Python, PowerShell, or similar scripting languages.
� 1+ year of experience with infrastructure-as-code tools such as Bicep, Terraform, or comparable technologies.
� 1+ year of experience working with Flux, GitHub Actions, or similar CI/CD platforms.
� 1+ year of experience with DevOps pipeline tools such as GitHub Actions, Jenkins, Bamboo, CircleCI, Spinnaker, or similar platforms.
� Strong understanding of code promotion methods, build automation, and branching strategies.
� Experience building Docker containers and supporting Docker-based microservices.
� Experience working with Windows Server environments, including classic 3-tier deployment topologies.
� Strong English communication skills for daily collaboration with engineering teams across global time zones, including the US, India, UK, and Australia.
Preferred Qualifications
� Azure AZ-400 or similar certifications
� Experience supporting large-scale R&D or engineering organizations.
� Familiarity with modern infrastructure automation and release governance practices.
� Familiarity with container orchestration concepts such as Kubernetes.
� Familiarity with Application Insights and Grafana-based monitoring and log management tools.
� Familiarity with security scanning and shift-left security practices in CI/CD pipelines.
� Experience with Linux environments; the team is actively migrating from Windows to Linux as applications transition to .NET Core.
Core Competencies
� Strong troubleshooting, problem-solving, and debugging skills.
� Ability to build environments, systems, and technical solutions from the ground up.
� Quick learner with strong adaptability in changing environments.
� Service-oriented mindset with a focus on supporting internal engineering customers.
� Strong collaboration skills and team-oriented approach.
� Ability to manage multiple priorities and deliver work on schedule.
� Eagerness to learn from experienced team members and grow technical skills.
Automation & AI Mindset
Our team operates with a core belief: if a process is manual and repeatable, it should be automated. We actively seek out toil, eliminate it, and continuously improve the reliability, security, and speed of our pipelines and production systems. AI is the latest and most powerful enabler of this philosophy.
AI in DevOps is a rapidly evolving field. Prior AI experience is not required ? what we value is a strong desire to learn, experiment, and apply AI to make our processes better.
? Genuine curiosity and enthusiasm for applying AI tools and techniques to DevOps workflows.
? Willingness to explore AI-assisted development tools such as code assistants, automated testing aids, and prompt-based automation.
? Openness to learning how AI can improve build, deployment, and operational processes.
? Ability to quickly adopt new AI tools and incorporate them into daily work.
? Able to describe how AI tools could be used to improve a build or deployment task.