Key skills
PythonAWSKubernetesGitLab CIEKSArgoCDFluxS3RDSIAMCloudWatchPostgreSQLDatadogSplunkGitLabGitOpsRabbitMQJiraConfluenceCI/CD
About this role
Software Engineer II
Englewood, CO
Hybrid Role (4 days remote, 1 onsite)
$60 per hour
ABOUT THE ROLE
Our client is seeking a highly skilled Software Engineer II to join the Service Activation Integration Engineering (SAIE) Environment team. In this hands-on technical role, you will be responsible for the operational health and deployment lifecycle of over 200 microservices deployed across 14 AWS EKS clusters. The position is a blend of environment operations (40%), automation and tooling development (40%), and infrastructure/platform work (20%). You will drive both day-to-day environment operations and longer-term automation initiatives, leveraging your deep expertise in AWS, Linux, Kubernetes, and Python automation. The ideal candidate is a proactive problem solver who can independently diagnose and resolve issues in large-scale distributed microservice architectures, and who thrives in a collaborative, cross-functional environment.
WHAT YOU'LL DO
Englewood, CO
Hybrid Role (4 days remote, 1 onsite)
$60 per hour
ABOUT THE ROLE
Our client is seeking a highly skilled Software Engineer II to join the Service Activation Integration Engineering (SAIE) Environment team. In this hands-on technical role, you will be responsible for the operational health and deployment lifecycle of over 200 microservices deployed across 14 AWS EKS clusters. The position is a blend of environment operations (40%), automation and tooling development (40%), and infrastructure/platform work (20%). You will drive both day-to-day environment operations and longer-term automation initiatives, leveraging your deep expertise in AWS, Linux, Kubernetes, and Python automation. The ideal candidate is a proactive problem solver who can independently diagnose and resolve issues in large-scale distributed microservice architectures, and who thrives in a collaborative, cross-functional environment.
WHAT YOU'LL DO
- Own the full deployment lifecycle for containerized applications across 14 AWS EKS clusters, executing, verifying, and documenting deployments end-to-end from pipeline through ArgoCD to pod validation and JIRA.
- Monitor environment health for 200+ microservices, including pod crashes, memory leaks, connection failures, and configuration drift; respond to alerts within SLA, performing root cause diagnosis and resolution.
- Develop and maintain Python-based automation for deployments, monitoring, and self-healing tooling, including building deployment orchestration, monitoring scripts, and automated fix creation from scratch.
- Design, implement, and troubleshoot GitLab CI/CD pipelines and ArgoCD (or equivalent GitOps tools such as Flux or Spinnaker) workflows, including pipeline design, rollback procedures, and sync troubleshooting.
- Automate configuration validation, version drift detection, and environment parity checks to reduce manual overhead and proactively catch issues before they impact QA cycles.
- Build and maintain real-time operational dashboards and monitoring integrations with tools such as Splunk, Datadog, CloudWatch, PrometheGrafana, and Webex.
- Manage AWS services including EKS, IAM, Secrets Manager, CloudWatch, RDS PostgreSQL, DocumentDB, ElastiCache, RabbitMQ, S3, SSM, SES, and VPC networking; maintain kubectl configurations across all clusters.
- Support legacy VM-based applications via GitLab CI pipelines as needed, ensuring environment parity and operational readiness.
- Coordinate with development, QA, and infrastructure teams across time zones for defect triage, hotfix deployments, and environment readiness, documenting all activities clearly in JIRA and Confluence.
- Implement self-healing patterns and operational best practices to ensure high availability and reliability of the environment.
- 5-10 years of experience in DevOps, SRE, Platform Engineering, or Environment Management roles.
- 3+ years of hands-on Kubernetes experience, including kubectl mastery, pod lifecycle management, ConfigMaps, Secrets, Ingress, HPA, and troubleshooting production issues such as CrashLoopBackOff, OOM, and ImagePull failures.
- Expertise in AWS services, including EKS, IAM, Secrets Manager, CloudWatch, RDS, DocumentDB, ElastiCache, S3, SSM, SES, RabbitMQ, and VPC networking.
- Intermediate or above Python automation skills, with real-world experience building deployment orchestration, monitoring scripts, and self-healing tooling from scratch.
- Experience with GitLab CI/CD and ArgoCD (or equivalent GitOps tools such as Flux or Spinnaker), including pipeline design, troubleshooting, and rollback procedures.
- Monitoring and observability experience with at least two tools such as Splunk, Datadog, CloudWatch, PrometheGrafana, and experience integrating with operational dashboards and alerting systems.
- Ability to independently diagnose and resolve issues in large-scale distributed microservice architectures, ensuring environment stability and readiness.
- Strong documentation skills, with experience using JIRA and Confluence, and proven ability to collaborate effectively with cross-functional teams across multiple time zones.
- Experience automating configuration validation, version drift detection, and environment parity checks to maintain operational consistency.
- Familiarity with managing both containerized and legacy VM-based applications, supporting migration and operational needs as required.