Arine - Senior DevOps Engineer

• Cloud Infrastructure Management • Design, deploy, and manage scalable, secure, and reliable AWS cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation • Monitor and manage EC2 instances and other services like RDS and ECS, ensuring optimal performance, scalability, and availability. Manage auto-scaling to handle varying workloads • Design, deploy, and operate Kubernetes clusters (EKS or self-managed) for containerized workloads, implementing best practices for cluster security, networking, and resource management • Optimize cloud resources for cost-effectiveness and performance, including monitoring AWS service costs and implementing cost-saving strategies • Spin up new infrastructure from existing configurations within a week to meet urgent project requirements • Deploy, automate, and maintain releases using release/change management processes • Build, release, and manage production systems, and troubleshoot system issues • Administer, deploy, automate, and manage Jenkins • Collaborate with onshore, offshore, and nearshore dev and QA teams • AI-Powered Automation and Intelligent Operations • Leverage AI/ML tools and platforms (e.g., GitHub Copilot, Claude) to accelerate infrastructure development, code review, and documentation • Implement AIOps practices using AI-driven monitoring and anomaly detection to proactively identify issues before they impact production • Build and maintain AI-assisted incident response workflows, including automated root cause analysis and intelligent alerting • Evaluate and integrate emerging AI tools into the DevOps toolchain to improve developer productivity and operational efficiency • Develop intelligent automation pipelines that leverage ML models for predictive scaling, capacity planning, and resource optimization • Automation and Scripting • Create and manage automation scripts for routine tasks using Python, Bash, or similar scripting languages • Implement automated monitoring and alerting solutions to proactively detect and resolve issues • Create automation scripts using Jenkins • Build self-healing infrastructure using AI-driven automation to detect and remediate common issues without manual intervention • Kubernetes and Container Orchestration • Deploy, manage, and scale Kubernetes clusters on AWS EKS, ensuring high availability and optimal resource utilization • Implement Kubernetes best practices, including namespaces, RBAC, network policies, resource quotas, and pod security standards • Design and manage Helm charts, Kustomize configurations, and GitOps workflows (ArgoCD, Flux) for Kubernetes deployments • Troubleshoot complex Kubernetes issues, including networking, storage, and scheduling problems • Implement service mesh solutions (Istio, Linkerd) for advanced traffic management, observability, and security • Security and Compliance • Ensure the security and compliance of AWS environments by implementing best practices, including IAM policies, security groups, VPC configurations, and encryption • Conduct regular security assessments and audits in collaboration with the security team, identifying and addressing vulnerabilities • Ensure security and adherence to the release/change management process for production releases • Implement Kubernetes security best practices, including pod security policies, secrets management, and container image scanning • Collaboration and Support • Work closely with development teams to understand application requirements and provide guidance on best practices for cloud architecture and DevOps processes • Provide on-call support for production environments, including troubleshooting and resolving issues as they arise • Collaborate with cross-functional teams to improve overall system reliability and performance • Adaptable and resilient in a fast-moving startup setting, with the ability to handle ambiguity and evolving priorities • Monitoring and Optimization • Set up and maintain monitoring tools such as CloudWatch, Prometheus, or Datadog to ensure the health and performance of applications • Monitor EC2 instances, Kubernetes clusters, and other AWS services for performance, availability, and cost-efficiency, taking proactive steps to optimize them • Ensure high availability of systems, implementing redundancy and failover mechanisms to minimize downtime • Analyze and optimize system performance, including load balancing, caching, and database tuning • Implement observability best practices across Kubernetes workloads using distributed tracing, metrics, and centralized logging • Documentation and Training • Document infrastructure, processes, and procedures for knowledge sharing and compliance purposes • Provide training and mentorship to junior team members on best practices in AWS, Kubernetes, and DevOps • Champion AI-assisted tooling adoption and train teams on the effective use of AI coding assistants and automation tools • All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine.