Lead Software Engineer, DevOps (Network Automation)

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Plano, TXMcLean, VA
Salary: $197,300–$225,100 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $211k

$115k most similar roles pay here $237k

This role pays more than 87% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 1042 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1036 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Software Engineer, DevOps (Network Automation)

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Lead Software Engineer, DevOps (Network Automation) joins the engineering team to lead a portfolio of diverse technology projects and a team of developers focused on creating solutions that meet regulatory needs. The role involves designing connectivity solutions for multiple cloud environments, developing robust cloud-based solutions, and participating in an on-call rotation. Day-to-day responsibilities include collaborating with product managers across Agile teams to design, test, and implement technical solutions while mentoring other engineers. The position requires proficiency in Java, Python, SQL, Ruby, and Go, alongside experience with Docker, Kubernetes, Ansible, Terraform, and various AWS tools. Candidates must possess skills in Linux system administration, Software Defined Networking, Cisco technologies, and monitoring tools like Splunk or Datadog. This role addresses the technical challenge of integrating data with emerging technologies to solve complex business problems within a cloud-native infrastructure.

Skills

AWS GCP Azure Kubernetes Docker Terraform Ansible Python Java Go Ruby SQL CI/CD Linux Unix Cisco Splunk New Relic Datadog Git

What you'll do

Lead a portfolio of diverse technology projects and a team of developers in machine learning and distributed microservices.
Design connectivity solutions supporting multiple cloud environments including AWS and GCP.
Develop robust cloud-based solutions to meet regulatory needs and improve customer experiences.
Implement infrastructure using tools like Terraform, Ansible, Docker, and Kubernetes.
Build and support technical solutions using full-stack development tools and programming languages like Java, Python, and Go.
Mentor other members of the engineering community and stay current on emerging technology trends.
Participate in an on-call rotation to support production systems.

What we're looking for

At least 4 years of experience in DevOps Engineering.
At least 3 years of experience in Cloud Native technologies (AWS, Azure, or GCP).
At least 4 years of Unix or Linux system administration experience.
6+ years of network engineering experience designing and implementing large multi-site networks (preferred).
5+ years of experience in NetDevOps Engineering using CI/CD tools like Terraform, Itential, Ansible, Git, and Jenkins (preferred).
5 years of experience with Software Defined Networking and Cisco technologies (preferred).
4+ years of experience in infrastructure design, cloud networking, or monitoring tools (preferred).
Bachelor’s Degree.

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