System Engineer

Job Summary
Our client, a major communication services provider, is seeking a Systems Engineer with hands-on AWS experience to support cloud infrastructure, Kubernetes deployments, and distributed applications. This role works with development, QA, and platform teams to deploy services, troubleshoot issues across systems, and automate recurring tasks. Strong experience with AWS, Amazon EKS, Linux, ArgoCD, GitLab CI/CD, and Splunk is required.

 
Core Responsibilities

• Support AWS infrastructure and application environments using EKS, EC2, SSM, Secrets Manager, IAM, and VPC networking
• Deploy and troubleshoot applications on Kubernetes using kubectl to investigate pods, ReplicaSets, rollouts, events, ConfigMaps, and Secrets
• Manage application deployments through ArgoCD and GitLab CI/CD, including deployment configuration, pipeline troubleshooting, and merge request workflows
• Trace transactions across services using Splunk SPL and application logs to identify failures and verify resolutions
• Troubleshoot Java and Spring Boot service behavior, including application startup, health checks, profiles, external configuration, and Eureka registration
• Administer Linux systems and investigate service, process, port, connectivity, and file permission issues
• Develop Python scripts to automate recurring tasks and interact with REST APIs, JSON, and YAML
• Evaluate existing infrastructure and applications to identify deficiencies and recommend technical improvements
• Participate in systems design, installation, modification, and integration projects involving software and hardware components
• Work with business stakeholders to understand needs and translate requirements into technical solutions
• Coordinate deployments and issue resolution with development, QA, platform administrators, and application owners
• Maintain accurate tickets, deployment records, troubleshooting documentation, and runbooks in JIRA and Confluence
• Verify deployment status and issue resolution through logs, application health, and system evidence before closing tickets

Required Skills & Experience (Must-Haves)

• Hands-on AWS experience, including EKS, EC2, SSM, Secrets Manager, IAM fundamentals, and VPC networking concepts
• Kubernetes experience covering namespaces, contexts, probes, scheduling fundamentals, and kubectl troubleshooting
• Experience with ArgoCD, including sync, refresh, app-of-apps, ApplicationSets, and Helm value files
• GitLab CI/CD experience with pipelines, child pipelines, job traces, variables, API triggers, and merge requests
• Splunk SPL experience with index and sourcetype selection, transaction tracing, stats, table, spath, and JSON logs
• Working knowledge of Java and Spring Boot application behavior, including Actuator endpoints, configuration, and startup timing
• Linux administration experience with systemd, ss, lsof, ps, SSH, jump hosts, permissions, and service account ownership
• Python 3 scripting experience with REST APIs, JSON, YAML, and unit testing using unittest or pytest
• Git experience with branching, rebasing, merge request reviews, commits, and pushes
• Experience troubleshooting REST and SOAP APIs using curl, HTTP status codes, and TLS certificates
• Familiarity with JIRA workflows, JQL, and documentation in Confluence or Chalk
• Experience deploying applications on Kubernetes through a GitOps toolchain
• Experience troubleshooting transactions across distributed microservices
• Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience

Preferred Skills & Experience (Nice-to-Haves)

• RabbitMQ experience with queues and consumers
• Kafka or AWS MSK experience
• Oracle WebLogic, WLST, Oracle UIM cartridges, and CMT experience
• Familiarity with Oracle OSM
• Datadog experience with APM traces, monitors, and metrics
• Familiarity with Istio or Envoy service mesh
• Telecom provisioning experience across DOCSIS, high-speed data, voice, video, or WiFi
• Familiarity with CSG, ICOMS, and SODI/ESR flows
• Experience with Artifactory Docker and Maven repositories and Helm charts
• Experience building or operating AI-assisted automation agents

Key Competencies & Behaviors

• Analytical troubleshooting and evidence-based decision-making
• Sound judgment in deployment and environment management
• Ownership and accountability from investigation through resolution
• Clear and actionable communication across technical stakeholders
• Ability to prioritize competing incidents and deployment activities
• Cross-functional collaboration across teams and time zones
• Root cause analysis across interconnected systems and services
• Continuous improvement through automation, documentation, and process optimization

Work Environment

• Location: Denver, CO
• Work Model: Hybrid

Compensation & Benefits

• Pay Range: The approximate pay range for this position is between $38.00 and $55.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered 

About KellyMitchell
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

Marketing Disclosure
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