Lead Software Engineer, DevOps (Cloud Operations Resilience Engineering)

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Riverwoods, ILMcLean, VA
Salary: $197,300–$225,100 / yr
Posted: 32 days ago
Freshness: Confirmed live yesterday
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 92% 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Software Engineer, DevOps (Cloud Operations Resilience Engineering)

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Lead Software Engineer, DevOps (Cloud Operations Resilience Engineering) joins the Cloud Operations Resilience Engineering technology division to manage a portfolio of diverse projects and lead a team of developers. This role focuses on building solutions for distributed microservices and full stack systems while ensuring infrastructure visibility, dependability, and consistency within the settlement group. The engineer will collaborate with product managers to deliver robust cloud-based solutions addressing regulatory needs and infrastructure reliability. Key technical requirements include proficiency in Java, Python, SQL, Ruby, and Go, alongside experience with Docker, Kubernetes, Ansible, and Terraform. Candidates must possess expertise in AWS tools, Unix or Linux system administration, and distributed database systems like Cassandra or ElasticSearch. The role involves leveraging interactive AI tooling to accelerate productivity while mentoring the engineering community within a collaborative environment.

Skills

AWS Kubernetes Docker Terraform Ansible Python Java Go SQL Ruby Cassandra ElasticSearch Jenkins Linux Unix Agile Microservices Machine Learning

What you'll do

Lead a portfolio of diverse technology projects and a team of developers in machine learning and distributed microservices.
Develop robust cloud-based solutions that improve infrastructure visibility, dependability, and consistency.
Build and maintain foundational cloud infrastructure including observability, connectivity, resilience, and availability.
Implement automated infrastructure using tools like Terraform, Ansible, Docker, and Kubernetes.
Develop software and scripts using languages such as Java, Python, SQL, Ruby, or Go.
Mentor other members of the engineering community and stay current on emerging technology trends.
Ensure all technical solutions meet specific regulatory requirements for the company.

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.
7+ years of DevOps Engineering experience (preferred).
4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl, or Ruby) (preferred).
4+ years of experience using build and deployment tools like Jenkins and Docker (preferred).
2+ years of experience with distributed database systems, Agile Development Practices, or interactive AI tooling (preferred).
Bachelor’s Degree.

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