WeWork Reforma Latino (97001), Mexico, Ciudad de Mexico, Ciudad de Mexico Sr. Manager Software Engineering IC 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 Sr Lead Full Stack Software Engineer who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead 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, TypeScript, 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 8 years of experience in software engineering - At least 5 year experience with cloud computing (AWS) - 8+ years of experience in at least one of the following: Python, JavaScript, TypeScript or Go Preferred Qualifications: - Master's Degree - Experience with AI tools - 4+ years of experience in open source frameworks - 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.

Technical Services has global team members in offices spanning the globe including New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions. We are looking for a transformational leader to join the MongoDB Technical Services team, leading regional teams of MongoDB ‘core’ and ‘cloud’ Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s core database functionality as well as troubleshooting cloud issues to enable successful customer implementations at scale. Click here to learn more about our Technical Services team. We are looking to speak to candidates who are based in Austin, Texas or New York City as this role will require working in our office there 3 or more days a week. Typical responsibilities of the team include: - Diagnosing and resolving performance related issues - Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements - Advising on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution - Globally collaborating with peer teams to provide seamless and efficient regional handovers of follow-the-sun issues - Continuously learning and growing skills via participation in training, maintaining industry awareness and development of training to share subject matter expertise more broadly across the team - Increasing case-deflection numbers by contributing to knowledge-base, distributing knowledge to peers and the general MongoDB community - Working on specific accounts to build rapport and an in-depth understanding of customer architecture and environment(s) while encouraging expansion of use Our customers are the best and brightest in the business and they have great expectations of our products and our company. If you are the type of person who enjoys helping customers, managing complex, fast-moving situations and leading/managing a talented group of individuals who continuously delight our customers, then this role is for you! Candidate ProfileRequired - 8+ years managing technical support or customer-facing engineering teams, with demonstrated success scaling operations, implementing process improvements, and elevating team performance - Proven track record in operational excellence: implementing metrics-driven improvements, designing scalable workflows, and optimizing resource allocation across distributed teams - Strong people development philosophy: history of coaching technical talent from individual contributors to senior engineers, with concrete examples of career progression under your leadership - Deep technical foundation across multiple database technologies (relational, NoSQL, distributed systems) with hands-on experience diagnosing complex production issues - Project leadership experience: successfully led cross-functional technical initiatives requiring coordination across engineering, product, and support organizations - Exposure to AI/ML technologies: understanding of how modern AI systems interact with data platforms, vector databases, or experience supporting AI-driven applications - Ability to balance technical depth with strategic thinking—equally comfortable reviewing query execution plans and presenting operational roadmaps to executives - Experience building and refining KPIs, implementing tooling improvements, and using data to drive team decisions - Strong diagnostic and troubleshooting skills with ability to lead-by-example during critical escalations - Comfort with the full people management lifecycle: hiring, performance management, succession planning, and translating organizational strategy to individual development plans - Ability to calibrate communication for diverse audiences—from kernel debugging sessions to executive business reviews Desirable - Prior work at a database company, specifically in the NoSQL space, or managing support for highly concurrent distributed systems in production. Scaled SaaS customer facing role experience preferred - Experience with modern observability, analytics, and automation tools; familiarity with how AI can enhance team operations - Track record of process innovation that demonstrably improved efficiency metrics (case deflection, resolution time, customer satisfaction) - Experience developing analytical dashboards using tools like Tableau, or implementing data-driven approaches to operational planning Success Measures - Within 30 days - Complete MongoDB’s new hire technical training program; be able to speak confidently about our total portfolio of products - Build initial rapport with the team and gain their trust - Within 60 days - Understand our global follow-the-sun processes and escalation processes - Have formed relationships with escalation managers, CSMs, sales, field and engineering stakeholders - Have begun conducting regular 1 on1’s with your teams as well as other managers within Technical Services and across the business - Within 90 days - Take assignment of and drive five (5) cases to closure to learn our internal processes - Have identified areas of efficiency for the team to scale - Effectively lead regional escalations and RCA’s when needed - At 120 days and onward - Present a comprehensive operational improvement plan addressing at least two areas: process efficiency, tooling gaps, knowledge management, or team development frameworks - Conduct three (3) face-to-face interactions with marquee customers, either in-person or virtually - Demonstrate the understanding of the short and long term goals of the Technical Services team and how your team is working toward those objectives About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 3263274319 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $140,000—$275,000 USD

• Lead and develop a distributed engineering team • Own delivery of data enrichment and AI initiatives • Partner with product management to shape the roadmap • Evaluate architecture proposals and technical approaches • Mentor and grow engineering talent • Build relationships with MDR analysts and threat intelligence researchers • Manage technical debt strategically • Drive engineering quality by monitoring delivery metrics

• Own engineering delivery, maintenance, and production support for assigned product or platform areas. • Deliver new features and optimize existing components with a focus on code quality, scalability, performance, security, and maintainability. • Ensure effective incident response, troubleshooting, and operational execution for production systems. • Lead sprint planning, prioritization, and execution to drive predictable delivery. • Provide hands-on technical leadership through design reviews, code reviews, and deployment oversight. • Directly manage software engineers and/or technical leads, including coaching, feedback, and career development. • Partner with Product, Architecture, QA, and Operations to ensure quality, alignment, and production readiness. • Support modernization initiatives, including cloud-native development and technical debt reduction. • Encourage adoption of AI-assisted SDLC tools to improve engineering velocity and effectiveness while maintaining standards. • Support development of AI-enabled capabilities following strong practices for quality, security, privacy, and reliability. • Support recruiting, onboarding, and training of software engineering staff.