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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
Join our Network Observability team as an Engineering Tech Lead as we drive the transformation toward a high-performance, automated, and proactive network infrastructure. This role is pivotal in advancing our multi-tiered observability strategy, integrating best-in-class tools NetBrain, ThousandEyes, GigaMon, Extrahop, and ELK stack and ensuring seamless visibility across all business locations, cloud edge points, and interconnects. You will collaborate with engineering, operations, and third-party partners to deliver actionable insights, rapid incident response, and continuous service assurance. A key responsibility will be enabling and maturing autonomous operations for incident response, leveraging automation and AI-driven analytics to minimize manual intervention and accelerate resolution.

Our Impact
We enable the organization to achieve operational transparency, reduce incident response times, and ensure compliance with industry standards. By consolidating and modernizing our observability toolset, we empower teams to focus on innovation and proactive network health management, supporting business agility and future technology needs. Our commitment to autonomous operations ensures that network incidents are detected, diagnosed, and remediated with minimal human intervention, driving operational excellence.

Your Impact

• Lead the deployment and integration of advanced observability platforms (NetBrain, ThousandEyes, etc.) to close visibility gaps and automate diagnostics.

• Architect and implement autonomous incident response workflows, including automated root-cause analysis, guided remediation, and AI-driven predictive analytics.

• Collaborate with cross-functional teams to design and implement unified dashboards, custom reports, and compliance reviews.

• Drive the consolidation and retirement of legacy tools, streamlining operations and reducing complexity.

• Support third-party assessments, benchmarking, and remediation efforts to ensure continuous improvement and alignment with strategic goals.

• Champion the adoption of predictive analytics, real-time telemetry, and automated incident response workflows.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

• 8-10 years of experience in network engineering, observability, or IT operations.

• Hands-on expertise with network monitoring and analytics tools NetBrain, ThousandEyes, RiverBed Suite, Extrahop, GigaMon, ELK stack

• Strong understanding of network protocols, SNMPv3, streaming telemetry, and cloud/SaaS environments.

• Experience with automation, incident response, and compliance reporting frameworks.

• Demonstrated experience designing or operating autonomous operations for incident response, including automation playbooks and AI/ML-driven analytics.

• Excellent communication and collaboration skills; ability to work with technical and non-technical stakeholders.

Keys to Success in this Role

• Proactive problem-solving and a passion for continuous improvement.

• Ability to synthesize complex data into actionable insights for diverse audiences.

• Adaptability in a fast-evolving technology landscape; willingness to learn and champion new tools.

• Strong organizational skills to manage tool consolidation, third-party assessments, and cross-team initiatives.

• Commitment to operational excellence, compliance, and delivering measurable outcomes (e.g., reduced MTTR/MTTD, improved visibility coverage).

• Vision and drive to advance autonomous operations for incident response, ensuring rapid, reliable, and scalable network assurance.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $146,000 - $218,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.Employment Type: FULL_TIME