Senior Site Reliability Engineer

BlueCat

. Operate and scale Kubernetes (EKS) clusters running AI and cloud-native workloads .

Posted 11/9/2026full-timeBelgrade • SerbiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Site Reliability Engineering (SRE), DevOps, and Platform Engineering, with a strong focus on AWS and Kubernetes (EKS) for building scalable, reliable, and observable systems. Proficient in automation using Python and Infrastructure as Code with Terraform, ensuring efficient CI/CD practices and incident management.

Highest-signal resume keywords

AWS ExpertiseKubernetes (EKS) ManagementPython AutomationInfrastructure as Code (Terraform)CI/CD Using GitLab CI/CD

ATS Keywords

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Hard Skills

Site Reliability Engineering (SRE)DevOps PracticesPlatform EngineeringAWS Identity and Access Management (IAM)Incident ManagementCost OptimizationCapacity PlanningStateful Workloads ManagementAI/LLM SystemsMulti-Region AWS Architecture

Tools & Technologies

GitLab CI/CDTerraformAWS AgentCoreObservability SystemsAutomated Deployment Workflows

Industry Keywords

Cloud-Native WorkloadsProductionizationSLIs and SLOsAlerting and Incident ResponsePostmortems

Tech Stack

Tools & technologies

AWSCloudKubernetesPostgresPythonRedisTerraform

About the role

Key responsibilities & impact

Operate and scale Kubernetes (EKS) clusters running AI and cloud-native workloads
Support productionization of AWS AgentCore-based systems
Design, build, and maintain CI/CD pipelines using GitLab CI/CD for applications and platform services
Build and improve automated deployment workflows across environments
Implement and maintain observability systems, including metrics, logs, and traces
Define and enforce SRE practices, including SLIs, SLOs, alerting, incident response, and postmortems
Partner with development teams to ensure services are production-ready and operable
Participate in on-call rotation and support incident resolution and root cause analysis
Build infrastructure using Terraform for repeatable deployments
Improve cost efficiency, performance, and reliability of the platform
Help make the AI agent platform production-ready, secure, observable, and scalable
Work across platform engineering, infrastructure, and development teams to improve reliability, automation, and delivery speed

Requirements

What you’ll need

5+ years of experience in SRE, DevOps, or Platform Engineering
Strong hands-on experience with AWS and Kubernetes (EKS)
Experience operating or supporting AWS AgentCore or similar AI/agent platforms
Strong proficiency in Python for automation
Solid understanding of AWS identity and access management (IAM), including SSO/Identity Center, roles, policies, trust relationships, SCPs, and cross-account access patterns
Experience with Infrastructure as Code (Terraform preferred)
Strong understanding of CI/CD using GitLab CI/CD
Ability to quickly onboard into existing AWS environments and operate independently
Experience working with on-call and incident management in production systems
Experience with AI/LLM or agent-based systems
Experience running stateful workloads on Kubernetes (PostgreSQL, Redis, etc.)
Knowledge of RAG, vector databases, or knowledge systems
Multi-region AWS architecture experience
Cost optimization and capacity planning experience

Benefits

Comp & perks

A Professional Development Budget
Dedicated Wellness Days and Wellness Week
A Lifestyle Spending Account
An Employee Recognition Program
Comprehensive benefits encompassing health, financial well-being, and overall wellness
Exceptional work environment, enriching employee programs, and company culture