Infrastructure Engineer

Summary

Bayview Asset Management, LLC is seeking an Infrastructure Engineer to join their Mission Control team. This role involves building and operating cloud infrastructure to support product delivery while collaborating with various teams to ensure reliability, security, and compliance.

Responsibilities

• Design, build, and operate cloud infrastructure across major platforms such as AWS, GCP, or Azure with a focus on reliability, scalability, security, and cost discipline
• Create reusable infrastructure patterns that help product teams provision, deploy, and operate services consistently
• Own infrastructure changes from design and implementation through production rollout, monitoring, and iteration
• Build and maintain infrastructure as code using tools such as Terraform, Pulumi, Bicep, CloudFormation, or similar frameworks
• Automate repeatable operational workflows, environment provisioning, configuration management, and deployment tasks
• Improve infrastructure quality through clear modules, versioning, documentation, testing, and review practices
• Partner with Engineering teams to improve CI/CD pipelines, release workflows, build systems, and deployment safety
• Reduce friction for developers by building self-service tools, templates, runbooks, and paved-path workflows
• Balance speed and control so teams can move quickly while maintaining strong production and change-management practices
• Operate production systems confidently, including deployments, incident response, troubleshooting, and post-incident follow-up
• Implement and improve observability across logs, metrics, traces, alerts, dashboards, and service health indicators
• Contribute to architecture and operational decisions that improve uptime, performance, resilience, and maintainability
• Identify and address reliability risks before they become customer-impacting issues
• Implement secure infrastructure patterns, access controls, secrets management, and least-privilege practices
• Support compliance-aware engineering practices appropriate for a regulated fintech environment
• Monitor infrastructure utilization and cost, identifying opportunities to improve efficiency without reducing reliability
• Contribute to a culture of ownership, curiosity, pragmatism, and engineering excellence
• Raise the bar through thoughtful automation, clear abstractions, strong documentation, and sound operational judgment

Skills

• 3-5+ years of experience building, operating, and improving production infrastructure or DevOps platforms
• Strong experience with one or more major cloud platforms such as AWS, GCP, or Azure, including compute, networking, storage, IAM, and managed services
• Hands-on experience with infrastructure as code, preferably Terraform or a comparable framework, and a strong understanding of reusable infrastructure modules
• Experience with CI/CD systems, deployment automation, release workflows, and modern DevOps practices
• Comfort working with containers and orchestration technologies such as Docker, Kubernetes, ECS, or similar platforms
• Ability to write scripts or production-quality automation in Python, Go, Rust, Bash, TypeScript, or a similar language
• Experience operating production systems with observability tools, alerting, incident response, runbooks, and post-incident improvement practices
• Working knowledge of cloud security fundamentals, including IAM, network segmentation, secrets management, encryption, and secure configuration practices
• Comfort working with data-heavy, integration-heavy, and operationally critical systems in production
• Good judgment in ambiguous environments where the path is not fully defined and the team needs to go from zero to one
• Clear communication skills with both technical and non-technical teammates
• Experience building infrastructure, internal platforms, or developer tools for fast-moving product engineering teams
• Experience in fintech, mortgage, lending, payments, insurance, or other regulated domains
• Experience supporting AI and data infrastructure, including secure access to model platforms, data pipelines, vector databases, or GPU-enabled workloads
• Experience improving developer velocity, cloud cost efficiency, production reliability, or deployment safety as systems grow

Qualifications

Must Haves

• 3-5+ years of experience building, operating, and improving production infrastructure or DevOps platforms
• Strong experience with one or more major cloud platforms such as AWS, GCP, or Azure, including compute, networking, storage, IAM, and managed services
• Hands-on experience with infrastructure as code, preferably Terraform or a comparable framework, and a strong understanding of reusable infrastructure modules
• Experience with CI/CD systems, deployment automation, release workflows, and modern DevOps practices
• Comfort working with containers and orchestration technologies such as Docker, Kubernetes, ECS, or similar platforms
• Ability to write scripts or production-quality automation in Python, Go, Rust, Bash, TypeScript, or a similar language
• Experience operating production systems with observability tools, alerting, incident response, runbooks, and post-incident improvement practices
• Working knowledge of cloud security fundamentals, including IAM, network segmentation, secrets management, encryption, and secure configuration practices
• Comfort working with data-heavy, integration-heavy, and operationally critical systems in production
• Good judgment in ambiguous environments where the path is not fully defined and the team needs to go from zero to one
• Clear communication skills with both technical and non-technical teammates

Nice to Haves

• Experience building infrastructure, internal platforms, or developer tools for fast-moving product engineering teams
• Experience in fintech, mortgage, lending, payments, insurance, or other regulated domains
• Experience supporting AI and data infrastructure, including secure access to model platforms, data pipelines, vector databases, or GPU-enabled workloads
• Experience improving developer velocity, cloud cost efficiency, production reliability, or deployment safety as systems grow

Benefits

• Excellent benefits package
• Medical coverage starting on day one
• Company-matched 401(k)