Senior Technical Program Manager, Infrastructure

Senior Staff Technical Program Manager, Data Governance & Privacy

Sofi

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: As a Technical Program Manager within the Enterprise Data Governance team, you will drive strategic execution across our core data governance processes. Your primary focus is to protect member privacy safeguarding personal information through secure handling, processing, and storage to ensure trust, enforce compliance, and mitigate data exposure risks. You will bridge the gap between corporate data governance policy and operational engineering, leading high-visibility technical programs that secure, classify, and institutionalize data controls across key data platforms.  As a leader, you will partner with engineering, the CIO organization, Legal, Privacy Compliance, and broader stakeholders to shield enterprise data frameworks while accelerating feature delivery. What you’ll do: * Own the end-to-end strategy, roadmap, and execution of complex, multi-platform data privacy and data protection initiatives, driving the Privacy Rights Management (PRM) program as a primary priority.  * Partner with engineering and platform teams to translate abstract data governance and privacy policies into actionable technical execution. Own the requirements lifecycle by authoring comprehensive PRDs, defining functional data controls, and ensuring engineering teams have the clear technical specifications needed for deployment. * Operationalize privacy lifecycles from intake through fulfillment, including the development of automated tools, management of Data Subject Access Requests (DSARs), and establishing governance SOPs for regulatory change management, data onboarding/offboarding, operational metrics, and control validation. * Operationalize the First Line of Defense (1LOD) ownership model to ensure compliance with evolving U.S. state, international, and SMB privacy obligations, ensuring governance frameworks are scalable and robust. * Manage the governance standards for both affiliate and non-affiliate data sharing, ensuring full alignment with privacy standards and internal policies. Act as a strategic contributor to core governance pillars, shaping frameworks for Metadata, Data Lineage, Data Retention, and Data Quality. * Own key metrics and controls to track and provide actionable insights to drive continuous improvement.  Propose scalable, incremental counter-proposals to keep the business agile while overseeing asset-level metadata, Role-Based Access Control (RBAC) blueprints, and operational egress/ingress integration for data platforms and enterprise SaaS applications. * Collaborate with federated teams to institutionalize ownership matrices, translate complex regulatory mandates into actionable product requirements. Maintain focus on strategic priorities and outcome-driven execution when navigating ambiguous problems, ensuring clear communication of program status, risks, and mitigation plans to executive leadership.   What you’ll need: * Bachelor’s degree or higher with practical experience in a technical field. * Experience * 9+ years of experience in technical (software, data, engineering) program or Product management. * Proven track record of driving results across large-scale, enterprise-level programs through cross-functional collaboration. * Deep expertise in scaling data governance, data privacy, or security risk programs within highly regulated environments (FinTech, Banking, or Enterprise SaaS). * Strong hands-on experience with cloud data platforms (e.g., Snowflake, Postgres, CockroachDB)  * Architectural understanding of data classification standards, API egress patterns, and core data technologies (Python, SQL, Airflow).  * Experience designing AI-driven workflows, LLM applications, or intelligent agents to automate manual governance controls and compliance verification. * Comfort leading through influence in a highly matrixed, federated model. * Experience influencing stakeholders and executive leadership through strong analytical skills and clear written and verbal communication * Strong sense of ownership and bias for action. Preferred Qualifications:  * Experience in data governance; handling compliance, and/or technology risk management. * A solid understanding of regulations like CCPA, GDPR, and emerging privacy regulations. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SOFI PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES (EEO) TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION (INCLUDING RELIGIOUS DRESS AND GROOMING PRACTICES), SEX (INCLUDING PREGNANCY, CHILDBIRTH AND RELATED MEDICAL CONDITIONS, BREASTFEEDING, AND CONDITIONS RELATED TO BREASTFEEDING), GENDER, GENDER IDENTITY, GENDER EXPRESSION, NATIONAL ORIGIN, ANCESTRY, AGE (40 OR OVER), PHYSICAL OR MEDICAL DISABILITY, MEDICAL CONDITION, MARITAL STATUS, REGISTERED DOMESTIC PARTNER STATUS, SEXUAL ORIENTATION, GENETIC INFORMATION, MILITARY AND/OR VETERAN STATUS, OR ANY OTHER BASIS PROHIBITED BY APPLICABLE STATE OR FEDERAL LAW. THE COMPANY HIRES THE BEST QUALIFIED CANDIDATE FOR THE JOB, WITHOUT REGARD TO PROTECTED CHARACTERISTICS. PURSUANT TO THE SAN FRANCISCO FAIR CHANCE ORDINANCE, WE WILL CONSIDER FOR EMPLOYMENT QUALIFIED APPLICANTS WITH ARREST AND CONVICTION RECORDS. NEW YORK APPLICANTS: NOTICE OF EMPLOYEE RIGHTS SOFI IS COMMITTED TO AN INCLUSIVE CULTURE. AS PART OF THIS COMMITMENT, SOFI OFFERS REASONABLE ACCOMMODATIONS TO CANDIDATES WITH PHYSICAL OR MENTAL DISABILITIES. IF YOU NEED ACCOMMODATIONS TO PARTICIPATE IN THE JOB APPLICATION OR INTERVIEW PROCESS, PLEASE LET YOUR RECRUITER KNOW OR EMAIL ACCOMMODATIONS@SOFI.COM. DUE TO INSURANCE COVERAGE ISSUES, WE ARE UNABLE TO ACCOMMODATE REMOTE WORK FROM HAWAII OR ALASKA AT THIS TIME. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Sr Software Engineer, Infrastructure

Databricks

GAQ127R41 Location: San Francisco, CA (Hybrid) ABOUT THE ROLE At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure), you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. THE IMPACT YOU WILL HAVE * Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. * Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. * CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialized build requirements. * Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default * Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency  * Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes. * Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own. WHAT WE LOOK FOR * Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable). * IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi(Preferred). * Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes, Docker and containerization concepts. * Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms. * CI/CD: Advanced knowledge of Github Actions, Github Runners. * Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK. * Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues. * Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $159,900—$219,900 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Senior Technical Program Manager Atlas Clusters

Mongodb

As a Sr. Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model, or remote within Ireland. THE RIGHT CANDIDATE FOR THIS ROLE WILL BE: * Experienced with 15+ years of working in an engineering organization leading complex cross-functional technical programs * Experienced with 10 years of Software development background, with Cloud storage and compute products * Experience with Service Oriented Architecture and Cloud Infrastructure * Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps * Skilled at communicating across a diverse set of engineers and stakeholders * Hyper-organized and capable of coordinating across multiple independent work streams and organizations * A role model for effective execution practices, driven by an attuned sense of priority and urgency * Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture * Trained in working with project tracking software (e.g. Jira, Rally, MS Project) * Familiar with MongoDB or a comparable technology * Interested in business automation work such as scripting in Python, Google Apps Script and Slack POSITION EXPECTATIONS: * Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery * Recognize patterns in a sea of information and take action accordingly * Design, maintain, and improve the processes and tools that power program delivery * Build strategic partnerships with Product and Engineering stakeholders * Expand knowledge into new domains as called upon * Act as a mentor to junior TPMs and lead by example * Embody MongoDB's core values and leadership principles ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 3263275656