Coordinate with other Technology teams to ensure seamless integration and operation of cloud services.
Provide technical mentorship and guidance to cloud engineers and DevOps engineers on the team.
Communicate effectively within and across teams, including with vendors when required.
Contribute to a culture of continuous improvement, helping to identify root causes and implement corrective actions.
Continuous Improvement
Identify and implement opportunities for automation and process improvement within cloud infrastructure.
Stay current with cloud technologies and best practices; recommend and lead adoption of improvements.
Participate in incident post-mortems, contributing to key learnings and system improvements.
Use AI-powered coding and engineering tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Claude) to accelerate development workflows, code reviews, and infrastructure-as-code authoring.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field.
5+ years of experience in cloud engineering or a similar role.
Experience within the Finance / Insurance industry is a plus.
Strong proficiency in at least one major cloud platform (AWS, Azure, or Google Cloud).
Understanding of modern application SDLC best practices.
Strong understanding of cloud security best practices.
Excellent problem-solving skills and the ability to work under pressure.
Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect) are a plus.
Self-motivated learner who proactively seeks out new skills and challenges.
Believes in a collaborative, transparent, and trust-based team culture.
Comfortable communicating technical concepts to both technical and non-technical audiences.
Experience with agile development methodologies.
Understanding of foundational cloud services (networking, storage, compute, etc.).
Solid understanding of DevOps automation tools and practices (CI/CD) such as Jenkins, GitHub, Terraform, AI-assisted coding tools, or comparable tools.
Hands-on experience using AI-assisted coding tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Cursor, or similar) to improve productivity and code quality.
Familiarity with evaluating and adopting AI-powered engineering tools, including prompt engineering for infrastructure and automation tasks.
Work with amazing people and be part of a unique culture
