Senior Cloud Engineer

3 days ago

Belfast, United Kingdom Rapid7 Full time
About the Role

We are seeking a highly skilled Senior Cloud Engineer to join our Data Engineering team at Rapid7. As a key member of our team, you will be responsible for designing, building, and maintaining our cloud-based data infrastructure.

Key Responsibilities
  • Design and implement scalable and secure cloud-based data architectures using AWS ECS/EKS.
  • Manage and maintain cloud environments for the data engineering team using Terraform.
  • Support the development of our product events data architecture, including Kafka, SQS, EKS, and S3.
  • Develop data pipelines using Fivetran, Snowflake, and Airflow, with a focus on Python, SQL, and JavaScript.
  • Provide thought leadership and contribute to the vision of our data engineering function.
  • Participate in team processes, including on-call rotations, bug triage, technical direction, standards, and execution.
  • Own delivery architecture/execution of major component(s) from conception to release.
  • Lead technical mentorship within the data engineering team, focusing on code reviews, documentation, and technical guidance.
  • Understand tradeoffs between technical and business needs, interact with key stakeholders, and deliver solutions that meet all needs.
  • Regularly simplify complex designs/codebases without being asked.
  • Work closely with leadership to drive adoption of the latest DevOps and DataOps trends and technologies.
Requirements
  • 5+ years of hands-on software engineering experience.
  • 4+ years working with a major cloud provider (preferably AWS); experience building/maintaining VPCs and deploying code using Terraform is a must.
  • 3+ years building and maintaining hosted environments and applications using EKS or another container service is a must.
  • 5+ years of experience in at least one programming language such as Python, Java, Scala is required (Python is our most commonly used language); advanced SQL expertise is required.
  • Experience working in a modern lakehouse is required (Snowflake is preferred); modern warehousing best practices should be second nature.
  • Cloud experience is required (AWS is strongly preferred); Terraform is highly preferred.
  • Knowledge and ideally hands-on experience working with container services is required (ECS, Kubernetes, etc).
  • Experience working in a mature SDLC environment (ie: CICD) is required.
  • Modern tech stack experience is a plus (dbt, Fivetran, Snowflake, Airflow).
  • Experience as a leader within a data engineering team and ability to mentor teammates.
  • Strong work ethic, resiliency, persistence, and urgency; data engineering holds itself to a high standard, so you'll need to keep up
  • Sharp business and interpersonal skills; ability to influence at senior levels across business units to drive change and achieve common goals.
  • BS or MS in Computer Science, Analytics, Statistics, Informatics, Information Systems, or another quantitative field or equivalent experience.

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