Platform Engineer

• Define and execute the enterprise Platform Engineering strategy supporting Consumer Products and Corporate Technology.
• Lead the evolution of engineering platforms that improve developer experience, platform consistency, scalability, and operational efficiency.
• Establish enterprise standards for platform architecture, engineering automation, and software delivery.
• Drive adoption of Internal Developer Platforms (IDPs), Infrastructure as Code, cloud platform engineering, Kubernetes, container platforms, release engineering, environment management, artifact repositories, secrets management, observability platforms, and platform networking.
• Build reusable engineering capabilities that enable product teams to deliver software securely and efficiently.
• Leadership, People Management, Budget & Vendor Management

Senior Director, Autonomous Platform Engineering

• Design scalable, maintainable, and secure service architectures.
• Build backend services using C# or TypeScript.
• Work with SQL and NoSQL databases; PostgreSQL expertise preferred.
• Design, containerize, and deploy services with Docker and Kubernetes.
• Build and optimize cloud infrastructure using AWS.
• Implement and maintain CI/CD pipelines and Git workflows.
• Apply security best practices across applications and infrastructure.
• Ensure reliability and scalability through test automation and performance profiling.
• Integrate and manage third-party APIs with robust monitoring practices.

Staff Engineer – Platform

• Develop software solutions for complex application and cloud infrastructure management and eliminate ClickOps
• Build a robust modern platform with a fusion of purpose-made code and industry-standard tools, increasing team effectiveness and eliminating unnecessary toil
• Develop software tools for deployment, monitoring, alerting and operations automation
• Automate and codify all the infrastructure provider interactions by using Infrastructure as Code to create immutable reproducible deployments and establish best practices to scale it in a maintainable way
• Maintain live services by measuring and monitoring availability, latency, and overall system performance
• Implement and manage Security event routing & SIEM platforms in a hybrid multi-cloud environment using CI/CD processes by developing CloudFormation and Terraform templates
• Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity
• Practice sustainable incident response and blameless postmortems
• Design and build petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling
• Work alongside the global cybersecurity architecture & engineering leadership to develop and deliver capabilities to support Cyber Data Science initiatives both internally and in partnership with detection and response teams, and governance and risk management teams across our CISO organization
• Come up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment.

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Senior Lead AI Engineer, MLX, Agentic AI, Gen AI Platform Services

• Demonstrate leadership and ownership of the platform to deliver services for projects and users.
• Provide infrastructure guidance of data platform capabilities to accommodate business/technical use cases.
• Leverage your strong communication skills to keep users informed and provide excellent quality of service.
• Automate and manage provisioning needs, such as Snowflake storage and compute, Role Based Access Control model, and permissions.
• Configure and manage monitoring/alerting around replication latency, performance (cluster & query), and Airflow.
• Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc.
• Provide technical expertise, troubleshooting, and support for change management, governance compliance, internal audits, and remediations.

Senior Data Engineer, Platform

• Build and maintain frontend platform, component library and web applications using modern front-end technologies such as TypeScript, React, and Next.js
• Build reusable UI patterns, design tokens, components, and evangelize engineering guidance
• Build and maintain a frontend platform that is machine-readable and API-first to serve AI agents alongside human users, with awareness of emerging commerce protocols (MCP, Universal Commerce Protocol)
• Apply AI effectively throughout the software development lifecycle, including implementation planning, coding, review, testing, and quality improvement
• Partner with product, design, and engineering peers to turn ambiguous requirements into well-scoped, high-quality deliveries
• Own quality through testing, accessibility, observability, performance, and safe rollout practices

Senior Front End Engineer, Platform

• Own the technical roadmap for Platform Engineering.
• Architect, build, and operate highly scalable backend services using Ruby on Rails.
• Design and operate our Kubernetes infrastructure, cloud architecture, and deployment pipelines.
• Improve developer productivity through CI/CD, automation, internal tooling, and engineering best practices.
• Build and evolve the platform powering our AI products, including LLM orchestration, agent infrastructure, prompt management, evaluation pipelines, model routing, and AI observability.
• Own our billing platform, including subscriptions, licensing, payments, usage metering, invoicing, and Stripe integrations.
• Design and maintain secure, scalable integrations with HRIS platforms, identity providers, and enterprise customers using REST APIs, OAuth, SAML, SCIM, and webhooks.
• Build best-in-class observability through logging, metrics, tracing, alerting, and performance monitoring.
• Improve the scalability, security, reliability, and operational excellence of our platform.
• Lead architectural decisions that impact multiple engineering teams.
• Mentor engineers through technical leadership, design reviews, and engineering best practices.
• Diagnose and resolve complex production issues across infrastructure, applications, and distributed systems.
• Help establish and grow the Platform Engineering function as EasyLlama scales.

Staff Software Engineer – Platform

• Design, build, and maintain scalable data ingestion pipelines supporting a wide range of source systems (APIs, databases, streaming platforms, third-party data providers).
• Develop batch and real-time ingestion frameworks capable of handling high data volumes and low-latency requirements.
• Establish and enhance observability, monitoring, and alerting for ingestion pipelines (latency, throughput, failures, data freshness).
• Implement and enforce data quality checks and validation frameworks at ingestion points.
• Contribute to the development of Data Ingestion as a platform product, including reusable frameworks, standards, and best practices.
• Leverage AI-assisted development tools and automation to accelerate pipeline development, improve code quality, and enhance operational efficiency (e.g., code generation, testing, anomaly detection, workflow automation).
• Partner with upstream system owners and downstream consumers to define data contracts, SLAs, and schema evolution strategies.
• Optimize pipelines for performance, cost, and efficiency across compute and storage layers.
• Use Infrastructure as Code (IaC) to provision and manage ingestion infrastructure in a consistent and scalable manner.
• Collaborate with platform, analytics, and data science teams to ensure seamless data availability and usability.

Data Engineer – Platform

• Designing, building, and operating cloud platform and DevOps capabilities across AWS and GCP
• Enabling reliable, secure, and scalable delivery by developing Kubernetes and Infrastructure-as-Code foundations
• Building and maintaining CI/CD pipelines
• Driving automation, observability, and operational best practices across engineering teams

Senior Engineer, Internal Developer Platform

• Drive engineering quality and reliability of Dyno’s data platform, ensuring access, security, and data lifecycle integrity.
• Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools.
• Support team members through code and architectural review to systemically increase engineering quality.
• Move quickly from prototype to production, balancing speed with reliability.
• Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results.

Senior Software Engineer – Computational Platform

• Lead the support, administration, reliability, and day-to-day operations of enterprise cybersecurity, SIEM, observability, log management, and data platforms
• Support the operational roadmap for cybersecurity platform capabilities
• Provide technical leadership and mentorship for global support teams
• Optimize platform operations by using monitoring alerts, performance trends, service metrics, and operational insights
• Ensure compliance with enterprise security, audit, regulatory, and data lifecycle management requirements

Senior Platform Operations Engineer

• Design scalable, maintainable, and secure service architectures.
• Identify opportunities for platform-wide improvements, new service development, and reduction of technical debt.
• Contribute to long-term platform vision and help shape standards for engineering excellence.
• Contribute to long-term architectural planning and system design.
• Build backend services using C# in a Functional Programming paradigm or TypeScript for web and background worker applications.
• Work with both SQL and NoSQL databases; PostgreSQL expertise preferred.
• Implement and maintain CI/CD pipelines, Git workflows, and Infrastructure as Code.
• Apply security best practices across applications and infrastructure (secure coding, vulnerability assessments, secrets management).
• Continuously improve the codebase by upholding high standards for code reviews, architecture, testing, and deployment.
• Act as the go-to expert for debugging, troubleshooting, and system reliability.
• Grow as a technical mentor to multiply team impact by elevating skills and practices of peers and junior engineers.
• Collaborate within your team and cross-functional teams to define requirements, scope projects, and deliver platform solutions.
• Work closely with stakeholders to debug, troubleshoot, and resolve complex backend issues across the stack.
• Contribute to engineering culture by modeling ownership, accountability, and a growth mindset.
• Mentor and develop junior engineers through coaching, pairing, and feedback.
• Champion engineering best practices, raising the bar for technical excellence across the team.
• Model emotional intelligence and resilience, building trust and inspiring growth in others.
• Stay current on emerging technologies in distributed systems, cloud infrastructure, and secure software practices.
• Stay current on emerging technologies, frameworks, and architectures.
• Promote Agile best practices and contribute to evolving team workflows (Scrum).
• Share insights on industry trends and competitor approaches to inform product and engineering strategy.

Senior Engineer – Platform

• Build shared services, APIs, and workflows that support administrative experiences
• Design reliable backend systems for cross-domain business flows
• Apply AI effectively throughout the software lifecycle
• Contribute reusable engineering skills that improve how teams work with AI
• Partner with product, design, and engineering peers to deliver high-quality outcomes

Senior Software Engineer, AI-Native Platform

• Architect and drive the evolution of Kubernetes platform strategy across cloud and on-premises environments supporting mission-critical workloads at scale.
• Lead the design and implementation of platform capabilities that improve reliability, security, scalability, and developer productivity for hundreds of engineering teams.
• Partner with engineering, security, and product leaders to define multi-year platform roadmaps and drive execution of company-critical initiatives.
• Provide technical leadership during major incidents, architecture reviews, platform transformations, and strategic infrastructure investments.
• Mentor senior engineers and help raise the engineering bar through technical leadership, design reviews, operational excellence, and architectural guidance.

Principal Engineer – Platform Engineering

• Design and build the next-generation bare metal deployment pipeline to achieve sub-60-second provisioning times
• Develop and maintain Vultr’s bare metal automation and management toolkit
• Implement automated firmware update workflows across the bare metal fleet using IPMI/BMC protocols
• Build and optimize kexec-based fast boot and provisioning flows to minimize deployment latency
• Integrate cloud-init and instance metadata service for bare metal, enabling consistent configuration across VM and BM products
• Develop Puppet and Ansible modules for bare metal server configuration and lifecycle management
• Architect and implement VPC networking for bare metal instances, including network attach and routing automation
• Collaborate with the Provisioning and Orchestration teams to unify OS image pipelines and ensure bare metal integrates cleanly with Vultr’s reservation and assignment systems

Platform Engineer – Bare Metal

• Own the day-to-day administration, support, health, and continuous improvement of the Microsoft 365 platform.
• Serve as the primary technical authority and Tier 3 escalation point for Microsoft 365-related incidents and complex technical issues.
• Design, implement, and maintain Microsoft 365 solutions that are secure, scalable, and aligned with enterprise architecture standards.
• Administer and support Exchange Online, Microsoft Teams, SharePoint Online, OneDrive for Business, Microsoft Entra ID, and Microsoft Intune.
• Manage hybrid identity services including Microsoft Entra ID, Active Directory integration, Conditional Access, Multi-Factor Authentication, and Single Sign-On.
• Support enterprise application integrations leveraging SAML, OAuth, OpenID Connect, and SCIM provisioning.
• Develop and maintain standards, governance controls, operational procedures, and platform best practices.
• Evaluate Microsoft roadmap enhancements and lead the adoption of new technologies and platform capabilities.
• Administer endpoint management solutions including Intune, Windows Autopilot, device compliance policies, configuration profiles, application deployment, and endpoint security baselines.
• Design and maintain automated device provisioning and lifecycle management processes.
• Develop PowerShell and Microsoft Graph-based automation to improve operational efficiency, platform governance, reporting, and service delivery.
• Monitor platform health, capacity, service performance, and user experience, proactively identifying and resolving issues.
• Build and maintain operational dashboards, reporting, and metrics related to platform performance, adoption, compliance, and service quality.
• Partner with Cybersecurity teams to implement and support Microsoft 365 security controls, including Conditional Access, identity protection, and collaboration governance.
• Participate in major incident response, root cause analysis, problem management, and service improvement initiatives.
• Create and maintain technical documentation, architecture diagrams, operational runbooks, and support procedures.
• Provide technical guidance and mentorship to Service Desk, Digital Workplace, Infrastructure, and operations teams.
• Collaborate with Infrastructure, Security, Service Desk, Digital Workplace, and business stakeholders to deliver reliable and innovative solutions.

Senior Microsoft 365 Platform Engineer

• Oversee and work with data platform development teams & Product Owners to perform triage, root‑cause analysis, remediation tracking, and stakeholder communication
• Ensure SLA adherence, escalation discipline, and timely closure of production issues impacting business, clients, or regulators
• Partner with L2/L3 support and platform teams to stabilize recurring issues and drive durable fixes
• Lead major incident coordination and stakeholder communications during production events
• Drive root cause analysis, post-incident reviews and problem management processes to reduce recurring incidents
• Partner with Product Owners and data platform teams to document and manage stakeholder and regulatory demand
• Use tools like JIRA to manage intake, prioritization, and delivery of enhancement and change requests with Product Owners and Technology Leads
• Ensure changes follow change management, moratorium, and SDLC requirements
• Balance production stability with platform improvements and regulatory changes
• Support solution design and perform SQL-based data verification
• Ensure platform data is accurate, reconciled, controlled, and fit for purpose
• Serve as escalation point for downstream data quality issues
• Identify and actively manage operational, data, and delivery risks
• Ensure compliance with data governance standards, regulatory obligations, and audit requirements
• Support internal audits, risk assessments, and regulatory inquiries related to data platforms and operations

Senior Lead Data Platform Engineer

• Drive Enterprise Hierarchies M2-M3 to completion, partnering with the platform architect to define data models, account structures, and system dependencies, then translating those decisions into implementation-ready specifications
• Own all processor certification work with full accountability for external deadlines you cannot negotiate
• Manage PCI DSS compliance requirements and translate them into actionable engineering work
• Build and maintain a quarterly product backlog that sequences platform work based on external deadlines, dependencies, and cost of delay
• Lead backlog refinement sessions, ensuring platform stories have unambiguous acceptance criteria that reflect processor specifications and compliance requirements
• Own external processor relationships, be the single point of contact for certification requirements and timeline management
• Coordinate cross-domain dependencies (Hierarchies enables merchant structures and partner account growth)
• Present platform roadmap to leadership showing how infrastructure work connects to company revenue and growth objectives

Product Manager, Platform Infrastructure – Compliance

• Design, build, deploy, and maintain highly resilient and scalable systems that are critical to our customers’ success
• Lead complex projects that span multiple teams to improve functionality and reliability for our customers
• Design solutions that anticipate and accommodate future needs while considering tradeoffs
• Effectively communicate technical direction, guide our team through execution while driving team quality practices
• Act as a force multiplier in improving engineering productivity
• Diagnose performance bottlenecks and implement optimizations

Staff Software Engineer, Configuration Platform

• Design, build, and operate cloud platform and DevOps capabilities across AWS and GCP.
• Enable reliable, secure, and scalable delivery by developing Kubernetes and Infrastructure-as-Code foundations.
• Build and maintain CI/CD pipelines.
• Drive automation, observability, and operational best practices across engineering teams.

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