Lead Software Engineer, DevOps

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Plano, TX
Salary
$179,400–$204,700 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $192k
$117k most similar roles pay here $221k

This role pays more than 68% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $192k 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

Lead Software Engineer, DevOps joins the Technology Operations Center team to ensure high availability, resiliency, and performance across enterprise systems through Site Reliability Engineering practices. This role involves leading a portfolio of diverse technology projects and a team of developers to build solutions meeting regulatory needs. Day-to-day responsibilities include designing advanced automation, managing cloud-native infrastructure, deploying modern observability tools, and performing high-priority incident triage using real-time telemetry. The candidate will work with distributed microservices and full stack systems while utilizing technologies such as Java, Python, SQL, Ruby, and Go. Core tools include Docker, Kubernetes, Ansible, Terraform, and various AWS services. Experience with Apache Mesos, Marathon, Apache Spark, Jenkins, Cassandra, and ElasticSearch is also relevant. The role focuses on solving complex platform challenges at scale within a cloud-based infrastructure environment.

What you'll do

  • Lead a portfolio of diverse technology projects and a team of developers in machine learning and distributed microservices.
  • Design advanced automation and manage cloud-native infrastructure using AWS, Docker, and Kubernetes.
  • Deploy modern observability and monitoring tools to proactively solve complex platform challenges at scale.
  • Utilize real-time telemetry and AI-forward tools to perform high-priority incident triage.
  • Develop robust cloud-based solutions that meet regulatory requirements and improve customer experience.
  • Write production code using languages such as Java, Python, SQL, Ruby, or Go.
  • Mentor other members of the engineering community and share knowledge on emerging technology trends.

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 with technologies Apache Mesos, Marathon, or Apache Spark (preferred).
  • 4+ years of experience using build and deployment tools like Jenkins and Docker (preferred).
  • Bachelor’s Degree.

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