Senior Cloud Engineer
New
B
BixalCloud data platforms
This role can work remotely from anywhere in the USA.ContractSenior
Salary120,000 - 135,000 USD per year
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Job Details
- Experience
- Bachelor's degree in a relevant technical field plus 4+ years of experience, or equivalent professional experience.
- Required Skills
- AWSPythonBashTerraformDatabricksGitHub Actions
Requirements
- Have a bachelor's degree in a relevant technical field plus 4+ years of experience, or equivalent professional experience.
- Bring hands-on experience managing AWS cloud infrastructure in enterprise environments.
- Have experience with Terraform or similar Infrastructure as Code tooling, including reusable modules and large infrastructure deployments.
- Have experience administering Databricks environments, including Unity Catalog, workspaces, account-level resources, permissions, service principals, and integrations.
- Understand AWS IAM, S3, VPC, Route 53, KMS, Lambda, VPC endpoints, and networking fundamentals.
- Have experience designing secure cloud architectures using least-privilege IAM, encryption, private networking, and compliance-focused controls.
- Have experience building and maintaining CI/CD pipelines using GitHub Actions or similar automation platforms.
- Have strong Python and Bash scripting skills and experience automating cloud, infrastructure, or platform operations.
- Have experience supporting production data platforms, distributed systems, analytics environments, or AI/ML infrastructure.
- Understand Delta Lake, medallion architecture (Bronze/Silver/Gold), data governance, and access control models.
- Be able to troubleshoot issues across cloud infrastructure, networking, identity, automation, and data platforms.
- Be able to collaborate with engineers, architects, security teams, and non-technical stakeholders.
- Be able to obtain and maintain a Public Trust security clearance.
Responsibilities
- Own the design, deployment, and operation of cloud infrastructure supporting data platforms, analytics workloads, and AI/ML capabilities.
- Build and maintain Terraform infrastructure, reusable modules, and automation patterns for AWS and Databricks resources.
- Administer Databricks workspaces, Unity Catalog governance, account-level settings, credentials, clusters, jobs, secrets, and access controls.
- Manage Databricks migrations, upgrades, and architectural changes while minimizing disruption to users and integrations.
- Design secure AWS architectures involving VPC networking, private connectivity, IAM, S3, encryption, and least-privilege access.
- Build and maintain GitHub Actions CI/CD pipelines for infrastructure deployments, validation, security checks, and platform operations.
- Develop Python and Bash automation using cloud APIs to improve operational efficiency.
- Implement observability and audit logging for cloud and Databricks environments, including integrations with platforms such as Splunk.
- Support secure data-platform integrations and AI/ML capabilities, including Delta Lake, Unity Catalog, MLflow, AWS Bedrock, and GenAI workloads.
- Partner with engineering, analytics, security, and application teams; investigate platform issues, document operations, and support incident response and continuous improvement.
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