• Set the vision and drive execution for Reliability Engineering at Affirm • Own and coordinate delivery of high availability of core Affirm’s services, to attain our service level standards and expectations with external partners • Iterate and maintain a best-in-industry global incident response & lifecycle program • Build software and program management structure to perform continual risk management across the entire Affirm system and Engineering organization • Run a robust development lifecycle establishing a culture for operational excellence, while experimenting and failing fast • Work with a wide variety of cross functional partners outside of engineering ranging from product, enterprise risk, security, legal and compliance • Hire and build a global team of SREs, system engineers, and full stack engineers • Cultivate a respectful and supportive environment for all team members that effectively demonstrates the diversity of the team

• Atuar como ponto focal de confiabilidade e performance das plataformas de dados em ambiente Google Cloud Platform (GCP). • Implementar práticas de DataOps e SRE, garantindo observabilidade, automação, escalabilidade e resiliência nos pipelines de dados. • Monitorar e otimizar jobs de ingestão, transformação e orquestração de dados (Airflow, Composer, Dataflow, Dataproc, BigQuery). • Apoiar engenheiros e arquitetos de dados na implementação de boas práticas de CI/CD, infraestrutura como código e controle de versionamento. • Criar e manter dashboards de monitoramento, alertas e métricas de performance e custo em GCP (Stackdriver, Cloud Monitoring, Prometheus, Grafana). • Atuar em incidentes críticos de dados e infraestrutura, com resolução rápida e análise de causa raiz (RCA). • Trabalhar em conjunto com as áreas de segurança e arquitetura para garantir governança, compliance e proteção dos dados. • Promover a cultura de automação e melhoria contínua, reduzindo retrabalhos e aumentando a eficiência operacional.

DevOps Engineer, Senior The Opportunity: Everyone is trying to “harness the cloud,” but not everyone knows how. As a DevOps engineer, you’re eager to develop, manage, and secure a container platform that meets your client’s needs and takes advantage of cloud capab ilities. We need you to help us develop container management sof tware to solve some of our clients’ toughest challenges. As a platform DevOps engineer at Booz Allen, you can use your technical skills to affect mission-forward change. On our team, you’ll strengthen your skills using the latest cloud technologies as you look for ways to improve your client’s environment with current container sof tware to ensure seamless orchestration. Using your DevOps platform knowledge, you’ll support your team as you inform strategy and design while ensuring standards are met throughout the containerization process. You’ll work with your team to recommend resources that will help your client manage and securely adopt containers. Additionally, you’ll gain DevOps skills and experience while supporting the development of critical cloud platforms. Work with us to use cloud platform technology for good. Join us. The world can’t wait. You Have: 5+ years of experience with containerization technologies 5+ years of experience with container orchestration platforms 5+ years of experience managing sof tware deployments through CI / CD pipelines 3+ years of experience with AWS or Azure ​ Experience developing enterprise cloud-native solutions and applying basic principles, theories, and concepts Experience with OOP scripting or program languages Secret clearance Bachelor's degree Nice If You Have: Knowledge of automation, infrastructure automation, or microservices Knowledge of triaging and resolving issues related to both open source and commer cia l tools in public cloud environments Top Secret clearance ​ Clearance : Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

• Design, develop, and maintain AI/ML models for anomaly detection, trend analysis, and signal correlation across metrics, logs, traces, and events. • Reduce alert noise through intelligent alert grouping, suppression, and prioritization. • Enhance observability platforms with AI-generated insights supporting SLO and error-budget management. • Implement AI-driven incident classification, enrichment, and summarization. • Provide probable root-cause analysis recommendations based on historical and real-time telemetry. • Support on-call and incident response teams with AI-guided remediation suggestions. • Contribute AI insights to post-incident reviews and reliability improvement plans. • Apply AI techniques to identify repetitive operational tasks and automation opportunities. • Assist in generating, validating, and optimizing automation playbooks and workflows. • Analyze automation execution data to improve success rates, resiliency, and reuse. • Build and maintain AI-searchable knowledge repositories containing runbooks, SOPs, lessons learned, and historical incident data. • Enable natural-language access to operational knowledge for SREs and operations staff. • Develop predictive models for capacity planning, failure forecasting, configuration risk, and reliability debt identification. • Support proactive remediation strategies to prevent incidents before customer impact. • Assist SRE leadership in data-driven prioritization of reliability investments. • Ensure AI solutions adhere to organizational security, compliance, and data-handling policies. • Establish guardrails for AI recommendations and automation execution. • Promote transparency, explainability, and auditability of AI-driven operational decisions.