DevOps Engineer – Data Platform & Cloud Infrastructure

Bixal•Fairfax, VA

2d•$120,000 - $130,000•Remote

About The Position

Bixal is seeking a DevOps Engineer to design, deploy, and manage secure, scalable cloud infrastructure supporting data, analytics, and AI/ML workloads. You’ll work hands-on with AWS, Databricks, Terraform, and GitHub Actions while partnering with engineering and security teams to automate, optimize, and strengthen our data platform. This is a full-time position contingent on an active project. This role offers you a unique opportunity to make a meaningful impact on a project that aligns with Bixal’s mission of delivering innovative, human-centered solutions. While the role has a fixed duration, we are committed to transparency and collaboration, keeping you informed about contract updates and new opportunities. At Bixal, we support your professional journey, ensuring your experience reflects our inclusive, purpose-driven culture and prepares you for future success.

Requirements

Bachelor's degree in a relevant technical field plus 4+ years of experience, or equivalent professional experience.
Strong hands-on experience managing AWS cloud infrastructure in enterprise environments.
Experience with Terraform or similar Infrastructure as Code tooling, including developing reusable modules and managing large infrastructure deployments.
Experience administering Databricks environments, including Unity Catalog, workspace management, account-level resources, permissions, service principals, and integrations.
Strong understanding of AWS services including IAM, S3, VPC, Route 53, KMS, Lambda, VPC endpoints, and networking fundamentals.
Experience designing secure cloud architectures using least privilege IAM, encryption, private networking, and compliance-focused controls.
Experience building and maintaining CI/CD pipelines using GitHub Actions or similar automation platforms.
Strong Python and Bash scripting skills with experience automating cloud, infrastructure, or platform operations.
Experience supporting production data platforms, distributed systems, analytics environments, or AI/ML infrastructure.
Understanding of data platform concepts including Delta Lake, medallion architecture (Bronze/Silver/Gold), data governance, and access control models.
Experience troubleshooting complex issues across cloud infrastructure, networking, identity, automation, and data platforms.
Strong communication skills with the ability to collaborate with engineers, architects, security teams, and non-technical stakeholders.
Ability to obtain and maintain a Public Trust security clearance

Nice To Haves

Experience working in FedRAMP, FISMA, or other regulated cloud environments.
Experience with Databricks E2 architecture, workspace provisioning, and account-level platform administration.
Experience leading Databricks migrations, networking redesigns, or cloud modernization initiatives.
Experience supporting AI/ML platforms, AWS Bedrock, LLM integrations, RAG architectures, or GenAI workloads.
Experience with enterprise logging and monitoring solutions such as Splunk.
Experience managing GitHub organization settings, repository automation, and developer tooling.
Databricks, AWS, Terraform, or cloud security certifications.
Experience supporting healthcare, or federal government environments.

Responsibilities

Own the design, deployment, and operations of cloud infrastructure supporting enterprise data platforms, analytics workloads, and AI/ML capabilities across development, validation, and production environments.
Build and maintain Infrastructure as Code (IaC) using Terraform to provision, manage, and standardize AWS and Databricks resources.
Develop and maintain reusable Terraform modules and automation patterns for Databricks workspaces, Unity Catalog resources, networking components, IAM roles, S3 storage, KMS encryption, service principals, and platform integrations.
Administer and support Databricks environments, including workspace configuration, account-level settings, Unity Catalog governance, metastore configuration, external locations, storage credentials, service credentials, clusters, jobs, secrets, and access controls.
Manage Databricks platform migrations, upgrades, and architectural changes while ensuring minimal disruption to users and downstream integrations.
Design and implement secure AWS architectures including VPC networking, private connectivity, VPC endpoints, IAM policies, cross-account access, S3 architectures, encryption, and least-privilege access patterns.
Build and maintain CI/CD pipelines using GitHub Actions to automate infrastructure deployments, validation, security checks, operational workflows, and platform management tasks.
Develop automation tooling using Python, Bash, and cloud APIs to improve operational efficiency and reduce manual platform administration.
Support enterprise identity and access management patterns including user provisioning, groups, service principals, OAuth/PAT authentication, workload identities, and automated permission management.
Implement and maintain observability and audit logging solutions for cloud and Databricks environments, including integration with enterprise monitoring platforms such as Splunk.
Design and support secure data platform integrations including Delta Lake, Unity Catalog, Delta Sharing, external locations, data access controls, and consumer-facing data products.
Support AI/ML platform capabilities by enabling services such as MLflow, Databricks AI tooling, AWS Bedrock, foundation model integrations, and GenAI workloads.
Partner with data engineering, analytics, security, and application teams to troubleshoot complex platform issues and establish scalable engineering standards.
Lead technical investigations, proof-of-concepts, and platform improvements focused on reliability, security, automation, and developer experience.
Create and maintain technical documentation, onboarding guides, architecture diagrams, operational runbooks, and self-service tooling for internal teams and external consumers.
Participate in incident response, root cause analysis, and continuous improvement efforts for production data platform services.
Other relevant duties as qualified and trained to perform