WeWork Reforma Latino (97001), Mexico, Ciudad de Mexico, Ciudad de Mexico Senior Manager, Software Engineering - Full Stack (People Manager) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Manager Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: - Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code - Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment - Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: - Advanced English fluency - Bachelor's Degree - At least 6 years of experience in software engineering (Internship experience does not apply) - At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) - At least 3 years of people management experience Preferred Qualifications: - Master's Degree - At least 6 years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, C#/.Net or Go - At least 3 years of experience with AWS, GCP, Microsoft Azure, or another cloud service - At least 4 years of experience in open source frameworks - At least 4 years of people management experience - At least 2 years of experience in Agile practices At Capital One, we respect individual differences in culture, religion, and ethnicity. Likewise, we promote equal opportunities and development for all personnel. In the hiring process, we seek to provide equal employment opportunities to candidates, regardless of race, color, religion, gender, sexual orientation, marital or civil status, national origin, disability, or any other situation protected by federal, state, or local laws. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, any position posted in the Philippines is for Capital One Service Corp (COPSSC), and any position posted in Mexico is for Capital One Technology Labs Mexico.

• Lead and mentor a pod of backends, frontend, or platform engineers (depending on pod assignment: e.g., Integrations, Investigation Infra, Threat Hunting, etc.) • Drive delivery of product and platform features aligned to quarterly OKRs • Establish engineering best practices for code quality, observability, security, and reliability • Collaborate with product managers and security SMEs to define technical scope, execution plans, and delivery timelines. • Provide technical guidance in architecture decisions across areas such as: 1. Scalable microservices 2. Security product integrations (EDR, SIEM, CNAPP, etc.) • Data pipelines (historical + real-time event ingestion) • AI/ML systems for reasoning and automation • Recruit, develop, and retain top engineering talent. • Ensure pods maintain a high bar for innovation, execution, and collaboration. • Must have recent experience working in cyber security. We are looking for domain experience mandatorily.

Role Description As the Engineering Manager of Figma's Databases team, you'll lead engineers responsible for Figma's core database infrastructure, including: - Sharded Postgres clusters - Schema management - Migrations tooling - Database provisioning Your responsibilities will include: - Owning the reliability and operational excellence of Figma's data tier - Driving incident response, postmortem culture, and proactive investment in system resilience - Setting technical direction and roadmap for the area - Partnering with product and engineering leadership to prioritize work across competing demands - Recruiting, retaining, and growing top infrastructure engineering talent - Driving execution through clear planning, regular reviews, and transparent communication - Collaborating with peer engineering managers across Infrastructure - Championing the adoption of AI-assisted tooling to improve developer experience Qualifications - 4+ years of experience managing infrastructure, platform, or backend engineering teams - Proven technical depth in distributed systems, stateful infrastructure, or data-intensive backend systems - Demonstrated ability to ramp quickly on unfamiliar technical domains - Track record of building or improving on-call culture, incident response processes, and reliability practices - Experience developing engineers' careers - Comfort leading distributed teams across multiple time zones Requirements - Experience managing managers or leading multiple teams across related technical domains (preferred) - Experience defining org-wide technical vision and strategy across multiple work streams (preferred) - Hands-on experience operating relational databases at scale (Postgres or MySQL) (preferred) - Familiarity with AI/LLM-assisted developer tooling (preferred) - Background in adjacent infrastructure domains (caching, streaming/event processing, observability) (preferred) - Experience at a high-growth product company where infrastructure needed to evolve rapidly (preferred) Benefits - Equity to employees - Health, dental & vision insurance - Retirement with company contribution - Parental leave & reproductive or family planning support - Mental health & wellness benefits - Generous PTO - Company recharge days - Learning & development stipend - Work from home stipend - Cell phone reimbursement - Sales incentive pay for most sales roles - Annual bonus plan for eligible non-sales roles

• A high-performing, self-managed engineering organization, known for its high standard of quality, delivery predictability, and agentic efficiency. • Set and uphold the technical bar across architecture, code quality, testing, and engineering standards. • Coach engineers on craft, judgment, autonomy, and technical decision-making through review, feedback, and architecture conversations. • Build a team that delivers reliably without depending on the manager as a bottleneck or single point of failure. • Set clear objectives, establish useful dashboards and review cadences, and use data to improve team performance. • Own architecture and technical direction across varied project types, stacks, and languages. • Lead effectively on unfamiliar stacks by relying on strong engineering principles, systems, and review practices. • Run a code review culture that catches issues early, teaches consistently, and keeps quality high across projects. • Increase the team’s use of AI coding tools and agents through clear patterns, guardrails, and review discipline. • Stay hands-on by contributing code to high-risk work, hard problems, spikes, and patterns the team can build from. • Plan monthly delivery cycles so work is clearly sized, realistically committed, and reliably completed across client projects. • Hold the team to strong task discipline, including clear ownership, accurate status, self-review before QA, and follow-through. • Own engineering hiring and assess candidates for craft, judgment, autonomy, and team fit. • Partner with design, product, and client-facing teammates to keep delivery clear, coordinated, and well-specified. • Own and evolve the engineering operating system, including standards, patterns, review practices, and rituals. • Communicate proactively across a remote team, sharing progress, decisions, risks, and recommendations early.