SRE Engineer

Mpower Plus Rezolve Ai Group Ltd
O'Fallon, MO, United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Build Automation Bash Shell Continuous Integration DevOps Identity and Access Management Python (Programming Language) Log Analysis Performance Tuning Release Management
+22 more
Prometheus Datadog Data Logging Load Balancing Autoscaling System Availability Delivery Pipeline Grafana Reliability of Systems Amazon Virtual Private Cloud (VPC) Git Cloudformation Amazon Relational Database Service Gitlab-ci Kubernetes Functional Programming Cloudwatch Terraform Splunk Software Version Control Docker Jenkins

Job description

DevOps Responsibilities

  • Design and maintain CI/CD pipelines for faster and reliable deployments [expertia.ai]
  • Implement Infrastructure as Code (IaC) using Terraform/CloudFormation
  • Automate build, test, and deployment processes
  • Manage version control (Git) and release workflows
  • Collaborate with development and QA teams for seamless releases SRE Responsibilities

  • Ensure system reliability, availability, and scalability
  • Define and monitor SLOs, SLIs, and error budgets [devopsschool.com]
  • Perform incident management, RCA, and postmortems
  • Implement monitoring, logging, and alerting systems
  • Automate operational tasks to reduce manual effort (toil) AWS Cloud Responsibilities

  • Deploy, manage, and optimise AWS services such as:
  • EC2, S3, VPC, RDS, Lambda, EKS/ECS
  • Implement auto-scaling, load balancing, and high availability architectures [builder.aws.com]
  • Configure security (IAM, policies, encryption)
  • Manage cloud cost optimisation and performance tuning

Requirements

  • SRE : SLO, SLI, Incident Management, Release management, RCA, Post mortemns
  • AWS services: EC2, S3, IAM, VPC, CloudWatch, RDS
  • Experience in multi-tier and scalable architecture
  • CI/CD tools: Jenkins, GitLab CI/CD, AWS CodePipeline
  • IaC: Terraform, CloudFormation
  • Scripting: Python / Bash / Shell
  • Docker, Kubernetes (EKS)
  • Tools: Prometheus, Grafana, CloudWatch, ELK, Datadog, Splunk
  • Monitoring : Log analysis, alerting, and performance tuning”

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