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MSP Owner: Michelle Lee
Location: Chicago, IL
Duration: 6 months
skill id: 10839373

Role Description
• Strong expertise in Microservices architecture with practical experience designing, deploying, and supporting distributed systems in production environments.
• Deep hands-on knowledge of Kubernetes (deployment management, scaling, upgrades, troubleshooting, cluster operations) with a focus on reliability, resilience, and performance.
• Working proficiency with API Gateway platforms such as Azure API Management (APIM), Kong, and IBM API Connect (APIC) for traffic management, rate limiting, routing, and API observability.
• Solid experience with observability tooling, including Splunk, AppDynamics, Instana, or similar solutions covering log analytics, metrics, traces, dashboards, alerting, and SLO-based monitoring.
• Ability to diagnose and resolve complex production issues, perform root cause analysis (RCA), and implement preventative measures.
• Familiarity with Site Reliability Engineering (SRE) best practices, including error budgets, SLIs/SLOs, incident response, postmortems, automation, and continuous improvement.
• Experience with performance tuning, capacity planning, and improving system reliability through scalable architectures and elimination of toil.
• As this is production support, the 2 resources should be able to support off-hour incidents, releases, and maintenance.

Required Skills

Microservices & Distributed Systems
• Microservices architecture
• Experience designing, deploying, and supporting distributed systems in production environments
Kubernetes
• Deployment management
• Scaling
• Upgrades
• Troubleshooting
• Cluster operations
• Reliability, resilience, and performance optimization
API Management
• Azure API Management (APIM)
• Kong
• IBM API Connect (APIC)
• Traffic management
• Rate limiting
• Routing
• API observability
Observability & Monitoring
• Splunk
• AppDynamics
• Instana
• Log analytics
• Metrics
• Traces
• Dashboards
• Alerting
• SLO-based monitoring
Site Reliability Engineering (SRE)
• Site Reliability Engineering (SRE)
• Error budgets
• SLIs/SLOs
• Incident response
• Postmortems
• Automation
• Continuous improvement
Production Support
• Root Cause Analysis (RCA)
• Production issue diagnosis and resolution
• Preventative measures implementation
• Off-hour incident support
• Release support
• Maintenance support
Performance & Reliability
• Performance tuning
• Capacity planning
• System reliability improvement
• Scalable architectures
• Elimination of toil
Essential Skills
• Microservices
• Splunk
• Azure API
• Site Reliability Engineering (SRE)

Skills: Digital : Splunk ~ Digital : Site Reliability Engineering (SRE)

Experience Required: 4-6