Sr. Data Infrastructure Engineer (Remote)

Overview

Senior Data Infrastructure Engineer on the Data Platform Operations team, building out the AWS GovCloud environment as a greenfield project aligned with FedRAMP and compliance requirements.

What you'll do

• Design and build AWS GovCloud infrastructure, establishing the foundational architecture, security compliance (FedRAMP, FISMA), network security, and platform operations across dev, preprod, and production environments.
• Establish PostgreSQL database infrastructure in GovCloud, including initial setup, performance optimization frameworks, backup/recovery architecture, replication strategies, high availability configuration, and security hardening standards.
• Design and implement infrastructure-as-code from the ground up using Chef, creating comprehensive cookbooks, recipes, and automation frameworks for server provisioning, configuration management, and repeatable deployments.
• Integrate application access controls and identity management systems with Google SAML integration, establishing secure authentication.
• Deploy and configure Business Intelligence infrastructure in GovCloud from scratch, including initial installation, architecture design, performance optimization, user management frameworks, and authentication system integration.
• Architect and implement multi-environment infrastructure from the ground up, following AWS best practices for network segmentation, security boundaries, environment isolation, and promotion workflows.
• Design and implement comprehensive monitoring, alerting, and observability systems for infrastructure and data pipelines, including creating runbooks, operational standards, and disaster recovery procedures.
• Provide ongoing operational support by monitoring, triaging, and resolving data pipeline and infrastructure incidents including ETL/ELT failures, database performance issues, and access problems.
• Collaborate with security, compliance, and data engineering teams to ensure infrastructure design meets government security requirements and compliance frameworks from inception.
• Partner with DevOps and data engineering teams to establish CI/CD pipelines, data pipeline orchestration, automated testing frameworks, and infrastructure deployment automation using Chef and AWS native tools.
• Utilize AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

What you'll need

• 6+ years of experience in infrastructure engineering and operations, with at least 3+ years of hands-on AWS experience.
• Proven experience building cloud infrastructure from scratch, with demonstrated ability to take greenfield projects from design through production deployment.
• Strong PostgreSQL administration experience including performance tuning, replication, backup/recovery, security configuration, and high availability setup.
• Expertise in PostgreSQL administration for data pipeline validation, query optimization, troubleshooting data issues, and evaluating ETL/ELT processes.
• Strong Python programming skills for automation, data pipeline monitoring, troubleshooting, and operational scripting.
• Proven hands-on experience with Chef for infrastructure-as-code, including creating and maintaining cookbooks, recipes, roles, and environments in greenfield deployments.
• Experience configuring enterprise identity and access management, specifically Google SAML integration and SSO implementations.
• Proven experience administering Tableau Server or other BI application including installation, configuration, performance optimization, security, and user management.
• Strong understanding of multi-environment infrastructure design, including network architecture, security boundaries, and deployment automation from initial design through implementation.
• Proficiency in scripting languages (Bash, Ruby) for automation, monitoring, and operational tasks.
• Experience with infrastructure monitoring and observability tools (CloudWatch, Datadog, Nagios, etc.).
• Knowledge of configuration management, CI/CD platforms (Jenkins, GitLab), and version control systems (Git).
• Strong understanding of network security, firewall management, VPC configuration, and secure architecture patterns.
• Self-starter with ability to work independently on greenfield projects, make architectural decisions, and drive projects from concept to completion.
• Excellent communication and collaboration skills with ability to work with cross-functional teams including security, compliance, and engineering.
• Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
• Security clearance eligible or ability to obtain government security clearance.

Details

• Remote, USA.
• Open to US Citizens or Permanent Residents only.
• Periodic additional background and fingerprint checks required, consistent with government customer requirements.
• Base salary range for U.S. candidates is $100,000 - $155,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package.