Lead Software Engineer, DevOps (Network Automation)
Capital One
- Location
- Plano, TX
- Work model
- On-Site
- Level
- Senior
- Salary
- $197.3k – $225.1k/yr
- Posted
- Sep 12, 2026
Skills
About this role
Lead Software Engineer, DevOps (Network Automation) 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 love to solve real problems and meet real customer needs. We are seeking DevOps Engineers (NetDevOps) who are passionate about marrying data with emerging technologies to join our team. As a DevOps 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 machine learning, 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, and mentoring other members of the engineering community 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 Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Design connectivity solutions supporting multiple cloud environments including AWS and GCP Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies Be apart of a on-call rotation Basic Qualifications: Bachelor’s Degree At least 4 years of experience in DevOps Engineering (Internship experience does not apply) At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 4 years of Unix or Linux system administration experience Preferred Qualifications: 6+ years of network engineering experience designing and implementing large multi-site networks 5+ years of experience in NetDevOps Engineering using CI/CD tools, such as Terraform, Itential, Ansible, Git and Jenkins 5 years of experience with Software Defined Networking, and Cisco technologies 4+ years of experience in infrastructure design and implementation 4+ years of experience in Cloud Networking including topics such as VPC networking and subnets, firewalls, private service access, and linking on-premise and cloud networks. 3+ years of experience with DNS services. 3+ years of experience with monitoring tools (Observability, Splunk, New Relic, Datadog ) 3+ years of experience working with Agile Development practices Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Software Engineer Plano, TX: $179,400 - $204,700 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that