Senior Lead Software Engineer, DevOps

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / yr
Posted: 94 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 $246k

$111k most similar roles pay here $279k

This role pays more than 97% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $246k 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 · Senior Lead Software Engineer, DevOps

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As a Senior Lead Software Engineer, DevOps, you will join a team of makers and doers to lead a portfolio of diverse technology projects while managing a team of developers with expertise in machine learning, distributed microservices, and full stack systems. You will be responsible for building robust cloud-based solutions that meet regulatory needs and deliver powerful experiences for customers. Your daily work involves collaborating with digital product managers, mentoring the engineering community, and potentially coding or evaluating code. The role requires proficiency in Java, Python, SQL, Ruby, and Go, alongside experience with Docker, Kubernetes, Ansible, Terraform, and various AWS tools. You will operate within a technical environment focused on solving complex business problems by marrying data with emerging technologies to address specific regulatory requirements through innovative infrastructure design and delivery.

Skills

AWS Kubernetes Docker Terraform Ansible Python Java Go SQL Ruby Linux Unix Splunk Zabbix 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 using AWS tools and services to meet regulatory needs.
Write and evaluate code using programming languages such as Java, Python, SQL, Ruby, and Go.
Manage container orchestration services including Docker and Kubernetes for scalable infrastructure.
Implement configuration management and infrastructure as code using Ansible and Terraform.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Utilize interactive AI tooling to accelerate development productivity and software delivery.

What we're looking for

At least 6 years of experience in DevOps Engineering.
At least 4 years of experience with Cloud Native technologies like AWS, Azure, or GCP.
At least 6 years of Unix or Linux system administration experience.
9+ years of DevOps Engineering experience is preferred.
6+ years of experience with coding and scripting in languages such as Python, SQL, Java, or Go.
4+ years of experience in infrastructure design, implementation, and delivery.
Experience with container orchestration (Docker/Kubernetes), monitoring tools (Splunk/Zabbix), and Agile practices.
Bachelor’s Degree.

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