Senior Platform Engineer

Capital OneMcLean, VA
1d$119,400 - $149,800

About The Position

Senior Platform Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex technical 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 love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. General Responsibilities: Work with product owners to understand desired application capabilities and testing scenarios Continuously improve software engineering practices Work within and across Agile teams to design, develop, test, implement and support technical solutions across a full-stack of development tools and technologies Lead the craftsmanship, availability, resilience and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services Utilize Windsurf and other AI-powered IDEs to accelerate coding, debugging, and system design. Design, build, and maintain robust data architectures (batch and streaming) using tools like Spark, Snowflake. AWS, Python, DevOps, Automation, AI Enabled Development Tools (Windsurf, Cursor, CoPilot, etc.,), Databricks, Snowflake, Databases, Agile Methodologies AWS, Python, Sterling FileGateway (SFG), File Transfer Protocols, DevOps, Automation, AI Enabled Development Tools (Windsurf, Cursor, CoPilot, etc.,), Databases, Agile Methodologies.

Requirements

  • High School Diploma, GED, or equivalent certification
  • At least 4 years of experience using build and deployment tools (Jenkins, GitHub, or Artifactory)
  • At least 2 years of experience with AWS
  • AWS
  • Python
  • DevOps
  • Automation
  • AI Enabled Development Tools (Windsurf, Cursor, CoPilot, etc.,)
  • Databases
  • Agile Methodologies
  • AWS
  • Python
  • Sterling FileGateway (SFG)
  • File Transfer Protocols
  • DevOps
  • Automation
  • AI Enabled Development Tools (Windsurf, Cursor, CoPilot, etc.,)
  • Databases
  • Agile Methodologies

Nice To Haves

  • 3+ years of experience with AWS
  • 1+ years of hands-on experience using AI-powered coding tools (e.g., Windsurf, GitHub Copilot, Cursor) to boost development productivity
  • 2+ years proven ability to integrate AI capabilities effectively into development workflows and team processes
  • 2+ years of experience in Agile practices

Responsibilities

  • Work with product owners to understand desired application capabilities and testing scenarios
  • Continuously improve software engineering practices
  • Work within and across Agile teams to design, develop, test, implement and support technical solutions across a full-stack of development tools and technologies
  • Lead the craftsmanship, availability, resilience and scalability of your solutions
  • Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community
  • Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity
  • Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services
  • Utilize Windsurf and other AI-powered IDEs to accelerate coding, debugging, and system design.
  • Design, build, and maintain robust data architectures (batch and streaming) using tools like Spark, Snowflake.
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