Sr. Director - GTS SaaS Fraud DevOps and Support

Sorry, this job was removed at 04:10 p.m. (CST) on Wednesday, May 21, 2025
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2 Locations
In-Office
158K-248K Annually
Software
The Role

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity

“A DevOps role at FICO is an opportunity to work with cutting edge cloud technologies with a team focused on delivery of secure cloud solutions and products to enterprise customers.” – VP, DevOps Engineering

What You'll Contribute

We are seeking a dynamic and experienced DevOps/Support Senior Director to oversee and elevate the operational excellence of our SaaS Fraud Protection solutions. This leadership role is pivotal in driving the transformation of traditional support models into modern Site Reliability Engineering (SRE) practices—fostering a “You Build It, You Run It” (YBIYRI) culture across the organization.

As a DevOps/Support Director, you will partner closely with Product Development, Cloud Engineering, and Security to champion scalable, reliable, and secure SaaS operations. You will be instrumental in empowering the operations team to own and run production code—ensuring high availability, fast incident response, and a proactive reliability mindset.

  • Lead and mentor a global DevOps/Support team responsible for maintaining and enhancing the performance, availability, and reliability of our Fraud Protection SaaS platform.

  • Champion the True SRE transformation journey, evolving legacy support functions into a high-performing, engineering-centric SRE organization.

  • Collaborate with Product Development teams to embed operational requirements into the SDLC, enabling seamless production ownership across teams.

  • Drive automation across deployment, recovery, testing, and monitoring pipelines to reduce toil and improve response times.

  • Influence and implement Infrastructure as Code (IaC), CI/CD pipelines, and scalable cloud architecture to support rapid delivery and operational agility.

  • Optimize cloud costs and infrastructure usage through proactive analysis and right-sizing strategies.

  • Lead on-call strategy and rotations, ensuring a balance between operational coverage and team well-being.

What We're Seeking

  • Senior level of experience in DevOps, Site Reliability Engineering, or Technical Support roles, with significant experience in a leadership position.

  • Proven experience in transforming support or operations teams into True SRE teams by embedding engineering best practices and owning production code.

  • Strong background in SaaS operations, ideally within Fraud Protection, Financial Services, or Security-focused platforms.

  • Hands-on expertise in AWS (preferred), Azure, or GCP; solid understanding of Kubernetes, Docker, Terraform, and CI/CD tools like GitLab, Ansible, or Harness.

  • Familiarity with observability stacks such as AppDynamics, Datadog, or Splunk.

  • Excellent communication and cross-functional collaboration skills; ability to influence and partner across product, engineering, and support teams.

  • A strong advocate for DevOps culture, agile principles, and continuous improvement.

  • Nice to Have:

  • SRE certification (e.g., Google SRE or equivalent)

  • Experience working in regulated industries (e.g., financial services, payments)

  • Knowledge of fraud detection systems or platforms

Our Offer to You

  • An inclusive culture strongly reflecting our core values:  Act Like an Owner, Delight Our Customers and Earn the Respect of Others.

  • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.

  • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.

  • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

  • The targeted base pay range for this role is: $158,000 to $248,000 with this range reflecting differences in candidate knowledge, skills and experience.
     

LI-Remote

#LI-AA1

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

FICO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about FICO and has not been reviewed or approved by FICO.

  • Leave & Time Off Breadth Time off offerings include paid holidays, paid sick days, and PTO, with typical vacation time described in the mid‑teens to ~20 days per year. Paid maternity and paternity leave are also included, which strengthens overall leave coverage.
  • Equity Value & Accessibility Equity-related rewards include an Employee Stock Purchase Plan with a discounted purchase feature, and broader participation in performance-based equity grants is described. These ownership programs can materially increase total rewards beyond base pay.
  • Parental & Family Support Parental leave is described as available up to 12 weeks, alongside a Family Building Benefits Program that supports fertility, adoption, surrogacy, and related services. This adds targeted support for employees navigating parenthood and family planning.

FICO Insights

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The Company
HQ: San Jose, CA
3,751 Employees
Year Founded: 1956

What We Do

Headquartered in Silicon Valley USA, FICO® (NYSE:FICO) is a leading analytics software company, helping businesses in over 80 countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company’s groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries.

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