Senior Technical Lead, Software Engineer (Database & Storage Network)

Freddie Mac • McLean, VA

1d

About The Position

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: You are responsible for optimizing database and storage network traffic across hybrid environments (cloud and on‑prem). This role focuses on creating repeatable connectivity patterns and best practices that align with the current infrastructure, accelerate cloud migration, and further optimize on‑prem-to-cloud connectivity, including introducing new patterns for specialized use cases. Our Impact: We improve the performance, reliability, and operational simplicity of critical database and storage connectivity by standardizing proven network designs and continuously optimizing hybrid traffic paths. This reduces design variance across teams, increases resiliency, and accelerates delivery and migration outcomes. Your Impact: Optimize DB/storage traffic performance and resiliency across on‑prem and AWS (latency, throughput, loss), including routing, segmentation, and QoS where applicable. Standardize and automate hybrid connectivity patterns using IaC and scripting to accelerate delivery and reduce operational risk. Enable migration waves by removing network blockers, defining “migration-ready” baselines, and improving observability and troubleshooting readiness.

Requirements

• 12-15+ years of experience designing, operating, and optimizing on‑prem enterprise networks supporting database and storage traffic.
• 5–10 years of hands-on AWS networking experience in production environments, including hybrid connectivity between on‑prem and AWS.
• Strong Infrastructure as Code (IaC) experience (e.g., Terraform, AWS CloudFormation) to define, deploy, and standardize network/connectivity patterns.
• Hands-on scripting and coding ability to automate validation, monitoring, and operational workflows (e.g., Python, Bash, PowerShell).
• Proven expertise in routing/path selection, failover behavior, MTU, segmentation, and traffic engineering where applicable for DB/storage workloads.
• Experience building observability/monitoring and operational playbooks for network performance and incident response.
• Metrics-driven approach to continuous improvement (e.g., latency, packet loss, throughput, change success rate).

Responsibilities

• Optimize DB/storage traffic performance and resiliency across on‑prem and AWS (latency, throughput, loss), including routing, segmentation, and QoS where applicable.
• Standardize and automate hybrid connectivity patterns using IaC and scripting to accelerate delivery and reduce operational risk.
• Enable migration waves by removing network blockers, defining “migration-ready” baselines, and improving observability and troubleshooting readiness.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees