Senior DevOps Engineer

Arine is seeking a highly motivated and technically strong Senior DevOps Engineer to help build, automate, and scale our cloud infrastructure and delivery pipelines. This role will focus on AWS, CI/CD, and Infrastructure as Code, while also leveraging AI-driven tooling to improve reliability, security, and delivery speed. You will work closely with Engineering, QA, and Security teams to ensure fast, safe, and scalable software delivery.

The Role:

We are seeking a skilled and motivated Senior DevOps Engineer to join our dynamic team at Arine Inc. The ideal candidate will have extensive experience with Amazon Web Services (AWS), a strong background in DevOps practices, and a passion for leveraging AI and machine learning to drive automation and operational excellence. As a Senior DevOps Engineer, you will be responsible for designing, implementing, and maintaining cloud infrastructure as code deployments, ensuring the scalability, security, and reliability of our cloud-based applications. You will collaborate closely with development, operations, and security teams to automate workflows and improve overall system performance. This position will support, maintain, and develop software using a variety of different tools, including AWS stacks and expertise in CI/CD tools.

This candidate will also be expected to lead the evolution of our CI/CD pipeline, branching and release strategies, and support our drive towards automated testing. You will play a key role in integrating AI-powered tools and intelligent automation into our DevOps workflows to enhance efficiency, predictability, and system resilience.

The ideal candidate will have a strong AWS background, specifically around scaled AWS Lambda-based, data-centric infrastructures, along with hands-on experience deploying and managing Kubernetes clusters and containerized workloads at scale.

What You'll Be Doing

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

Who You Are and What You Bring

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
• 7+ years of experience in DevOps or Cloud Engineering roles
• 5+ years of hands-on experience with AWS services, including API Gateway, Lambda, EC2, S3, ECS, BatchJobs, Lambda, RDS, DynamoDB, OpenSearch, VPC, CloudFormation, and IAM
• Proven experience with automation tools and Infrastructure as Code (IaC), including Terraform, AWS CDK, AWS SAM
• 5+ years of expertise in CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD, or similar)
• 5+ years of production experience with Kubernetes, including EKS, cluster administration, Helm, and GitOps practices
• Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker, ECR, ECS)
• Strong scripting/programming skills in Python, Bash, or JavaScript
• Experience with Kubernetes ecosystem tools, including Helm, Kustomize, ArgoCD/Flux, and service meshes (Istio, Linkerd)
• Knowledge of security principles, monitoring tools, and logging frameworks (e.g., CloudWatch, ELK stack, Prometheus, Grafana)
• Knowledge of networking fundamentals, including DNS, VPN, and load balancing in cloud environments
• Excellent problem-solving skills and the ability to work under pressure
• Strong communication and collaboration skills to work effectively with cross-functional teams

AI and Intelligent Automation Skills (Preferred)

• Experience leveraging AI coding assistants (Claude) in daily workflows
• Familiarity with AIOps platforms and AI-driven monitoring/observability tools
• Experience building intelligent automation using LLMs or ML models for operational tasks
• Knowledge of AI-powered infrastructure optimization and predictive scaling techniques

Remote Work Requirements:

• An established private work area that ensures information privacy
• A stable high-speed internet connection for telephonic and/or remote work

Perks:

Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.

The posted range represents the expected base salary range for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The base salary range for this position is: $150,000-$170,000/year.