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Petabyte-Scale Data Engineer
2 months ago
Atreides is a cutting-edge technology company that specializes in transforming complex data into actionable insights. Our mission is to empower defense intelligence professionals with high-fidelity data solutions to drive informed decision-making.
Job OverviewWe are seeking a highly skilled Azure Infrastructure/Site Reliability Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, implementing, and maintaining scalable, secure cloud infrastructure on Azure. Your expertise will be crucial in ensuring the reliability and availability of our infrastructure for petabyte-scale data processing.
Key Responsibilities- Design and implement scalable, secure Azure infrastructure using Infrastructure-as-Code (IaC) principles.
- Continuously monitor and optimize infrastructure for availability, performance, and cost-effectiveness.
- Collaborate with software engineers to ensure infrastructure effectively supports application requirements.
- Maintain high-level system security and implement necessary security measures.
- Utilize expertise in big data to ensure infrastructure is optimized for data processing on a petabyte scale.
- Lead troubleshooting and resolution efforts for infrastructure issues, providing swift and reliable solutions.
- Collaborate with third-party entities to provide expertise on cloud and technical DevOps.
- Develop and maintain detailed documentation of infrastructure design and specifications.
- Work with multiple third-party vendors on cutting-edge defense-facing programs, including sensor and cloud integration platforms.
- Provide advisory and collaborative work on niche technical asks, requiring outside-the-box problem-solving to provide obscure solutions.
- 3+ years of experience in Azure Infrastructure and/or SRE roles, with Azure certificates in Network, Admin, Security, and Hybrid Admin a plus.
- Strong background in Infrastructure as Code (IaC) using tools such as Pulumi or Terraform or CloudFormation, along with experience in deploying and managing Kubernetes clusters.
- Proficiency in implementing and integrating VPN solutions and overlay services, such as those from Cloudflare, into complex cloud-hosted network infrastructures.
- Knowledge of big data tools and environments, having previously worked with at least 100TB of data at production scale.
- Experience with SQL and noSQL environments.
- Familiarity with geospatial data formats such as Parquet/GeoParquet, GeoJSON, and Shapefiles is a plus.
- Experience in using DevOps tools such as Git, Docker, Jenkins, etc.
- Knowledge of networking concepts such as IP Protocol, DNS, and load balancing, spanning both hardware and software, with experience from cloud infrastructures to physical systems, ideally with exposure to CCNA certification.
- Experience with orchestration like Dagster, Prefect, Airflow, or Temporal.
- Excellent problem-solving skills and the ability to think quickly in a high-performance environment.
- The ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
- Competitive salary.
- Comprehensive health, dental, and vision insurance plans.
- Flexible hybrid work environment.
- Additional benefits like flexible hours, work travel opportunities, competitive vacation time, and parental leave.
