Overview
On Site
$160,000+
Contract - W2
No Travel Required
Skills
software development
python
C#
Java
GitLab
GitHub
DevOps
Git
Databases
Job Details
Role Overview:
The Cloud DevOps Engineer III will be responsible for designing, provisioning, and managing enterprise-level development tooling and systems, with a focus on automation, resiliency, and security within cloud environments.
The Cloud DevOps Engineer III will be responsible for designing, provisioning, and managing enterprise-level development tooling and systems, with a focus on automation, resiliency, and security within cloud environments.
Role Highlights:
Position: Cloud DevOps Engineer III
Location: Richmond, VA (On Site)
Pay: $160K+ (depending on qualifications)
Position: Cloud DevOps Engineer III
Location: Richmond, VA (On Site)
Pay: $160K+ (depending on qualifications)
Key Requirements:
Degree in Computer Science or related technical field involving software development, or equivalent experience
5+ years of software development experience, including design, development, troubleshooting, testing, and automation in Python and either C# or Java
Experience with DevOps platforms (e.g., GitLab, GitHub)
Experience with Git (e.g., branching, merging, GitFlow)
Experience with databases including one RDBMS (MySQL/MariaDB, MS SQL, Oracle) and one columnar/NoSQL store (MongoDB, Redis, Cassandra, DynamoDB)
Degree in Computer Science or related technical field involving software development, or equivalent experience
5+ years of software development experience, including design, development, troubleshooting, testing, and automation in Python and either C# or Java
Experience with DevOps platforms (e.g., GitLab, GitHub)
Experience with Git (e.g., branching, merging, GitFlow)
Experience with databases including one RDBMS (MySQL/MariaDB, MS SQL, Oracle) and one columnar/NoSQL store (MongoDB, Redis, Cassandra, DynamoDB)
Highly Desired Skills:
10 years of software development experience
Experience with observability tools (ELK, Splunk, SumoLogic, Datadog, New Relic, Dynatrace, CloudWatch, CloudTrail, Prometheus, Grafana)
Experience leading application design/modernization efforts (APIs, microservices)
DevOps practices: Infrastructure as code, CI/CD, automated deployment/testing, autoscaling, self-healing
Additional languages: JavaScript, Go, Ruby, PowerShell, Bash
Experience with algorithms, data structures, large data analysis
Containerization tools: Docker, Podman, Kubernetes, Rancher
Security testing methodologies (SAST, DAST), infrastructure security tools (Prisma Cloud, Aqua)
Familiarity with tools like Lifecycle, Nexus, Sonar, Fortify, Contrast
10 years of software development experience
Experience with observability tools (ELK, Splunk, SumoLogic, Datadog, New Relic, Dynatrace, CloudWatch, CloudTrail, Prometheus, Grafana)
Experience leading application design/modernization efforts (APIs, microservices)
DevOps practices: Infrastructure as code, CI/CD, automated deployment/testing, autoscaling, self-healing
Additional languages: JavaScript, Go, Ruby, PowerShell, Bash
Experience with algorithms, data structures, large data analysis
Containerization tools: Docker, Podman, Kubernetes, Rancher
Security testing methodologies (SAST, DAST), infrastructure security tools (Prisma Cloud, Aqua)
Familiarity with tools like Lifecycle, Nexus, Sonar, Fortify, Contrast
Responsibilities:
Develop centralized orchestration services for deploying and managing both in-house and COTS products
Design resilient, fault-tolerant systems for cloud infrastructure
Incorporate compliance and security via shift-left practices
Develop automation tools for deployment and operations
Integrate testing and quality principles into the development lifecycle
Optimize operations through automation of alerting, monitoring, and incident response
Develop centralized orchestration services for deploying and managing both in-house and COTS products
Design resilient, fault-tolerant systems for cloud infrastructure
Incorporate compliance and security via shift-left practices
Develop automation tools for deployment and operations
Integrate testing and quality principles into the development lifecycle
Optimize operations through automation of alerting, monitoring, and incident response
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