Sr DevOps Engineer

Eightelevengroup; Indianapolis, Northern (IN, KY); Hybrid; USD 89,544,000 - 103,320,000; Full time

Benefits offered by this job

Hybrid work arrangement

Travel opportunities

Competitive compensation

Job summary

Eight Eleven Group, LLC is seeking a skilled DevOps Engineer in Indianapolis, IN for a hybrid role focused on cloud infrastructure, automation, and deployment excellence. You will design and maintain scalable AWS environments, build IaC with Terraform, and manage CI/CD pipelines across Kubernetes clusters.

The candidate should have a Master’s degree and 2+ years of DevOps experience, with hands-on expertise in Terraform, AWS, Docker, and monitoring tools like Datadog.

Qualifications

• Master’s degree in Computer Science, Technology Management, or a related field.
• Two years of DevOps engineering experience as described above.
• Proficiency with AWS services (EC2, S3, Lambda, VPC, Route 53, CloudWatch, CloudTrail, Redshift, Load Balancers).
• Experience developing Infrastructure as Code using Terraform and integrating AWS Lambda and Code Pipeline for deployments.
• Hands-on experience building CI/CD pipelines with Git, Docker, Kubernetes, Terraform, and Ansible.
• Experience managing containerized workloads and deployments in Kubernetes clusters (AWS EKS).
• Familiarity with Agile methodologies (Scrum, Kanban) and using JIRA and Confluence.
• Experience implementing monitoring, logging, and alerting with Grafana, Prometheus, and Datadog.

Responsibilities

• Design, deploy, and maintain scalable AWS cloud environments with auto-scaling and high availability strategies.
• Develop Infrastructure as Code solutions with Terraform and AWS Lambda for automated deployments.
• Build and maintain CI/CD pipelines with Git, Docker, Kubernetes, Terraform, and Ansible.
• Manage containerized workloads and deployments in Kubernetes (including AWS EKS).
• Participate in Agile processes and maintain documentation in Confluence and JIRA.
• Implement monitoring and alerting with Grafana, Prometheus, and Datadog across cloud and on-prem.

Skills

Cloud infrastructure

Automation

CI/CD

DevOps practices

Education

Master’s degree in Computer Science or related field

Tools

AWS

Terraform

Kubernetes

Docker

Ansible

JIRA

Confluence

Grafana

Datadog

Job description

DevOps Engineer
Indianapolis, IN
Hybrid Role
$65 - $75 per hour

ABOUT THE ROLE

Eight Eleven Group, LLC is seeking a skilled DevOps Engineer to join our team in Indianapolis, IN. In this hybrid role, you will be responsible for designing, deploying, and maintaining scalable AWS cloud environments, leveraging a wide range of AWS services to ensure high availability and performance. You will develop Infrastructure as Code solutions, build and maintain CI/CD pipelines, and manage containerized workloads in Kubernetes clusters. The role also involves implementing robust monitoring and alerting solutions, supporting large-scale cloud-native microservices, and troubleshooting complex production issues. You will work within Agile teams, create operational documentation, and provide services to clients across the US, with the potential for travel and relocation. This is an excellent opportunity for a motivated engineer with a strong background in cloud infrastructure, automation, and DevOps best practices to work with advanced technologies in a collaborative, client-focused environment.

WHAT YOU'LL DO

• Design, deploy, and maintain scalable AWS cloud environments using services such as EC2, S3, Lambda, VPC, Route 53, CloudWatch, CloudTrail, Redshift, and Load Balancers, implementing auto-scaling and high availability strategies
• Develop Infrastructure as Code solutions with Terraform, integrating AWS Lambda and Code Pipeline for automated deployments and resilient architectures
• Build and maintain CI/CD pipelines using Git, Docker, Kubernetes, Terraform, and Ansible to support automated application delivery
• Manage containerized workloads by building Docker images and orchestrating deployments in Kubernetes clusters, including AWS EKS cluster management and workload deployments
• Participate in Agile development processes (Scrum, Kanban), manage work items in JIRA, and maintain documentation in Confluence
• Implement monitoring, logging, and alerting solutions using Grafana, Prometheus, and Datadog for infrastructure and application health across cloud and on-prem environments
• Support large-scale cloud-native microservices environments by implementing monitoring frameworks, log analysis procedures, and proactive alerting mechanisms to detect anomalies early
• Troubleshoot complex production issues, including Tier IV escalations, system outages, and connectivity problems affecting cloud services or WiFi network infrastructure
• Create operational documentation, procedures, and deployment MOPs to standardize application rollout processes and improve operational efficiency
• Deploy and manage Datadog agents across cloud and on-prem servers, build monitoring dashboards, and conduct capacity planning to maintain system performance and stability
• Implement infrastructure and network monitoring exporters, enabling real-time metrics collection for WiFi infrastructure and services
• Utilize network analysis tools (NetScout nGeniusONE, nGeniusPULSE) for traffic diagnostics, performance monitoring, and identifying abnormal traffic patterns including potential DDoS or malicious activity
• Generate analytical reports and dashboards using NetScout reporting tools to support capacity planning, network optimization, and performance improvements
• Provide services to clients throughout the US, with willingness to travel and relocate as needed

WHAT YOU BRING

• Master’s degree in Computer Science, Technology Management, or a related field
• Two years of experience performing DevOps engineering duties as described above
• Proficiency with AWS services (EC2, S3, Lambda, VPC, Route 53, CloudWatch, CloudTrail, Redshift, Load Balancers), including auto-scaling and high availability strategies
• Experience developing Infrastructure as Code solutions using Terraform, and integrating AWS Lambda and Code Pipeline for automated deployments
• Hands-on experience building and maintaining CI/CD pipelines with Git, Docker, Kubernetes, Terraform, and Ansible
• Experience managing containerized workloads, building Docker images, and orchestrating deployments in Kubernetes clusters (including AWS EKS)
• Familiarity with Agile methodologies (Scrum, Kanban), and experience using JIRA and Confluence for work management and documentation
• Experience implementing monitoring, logging, and alerting solutions with Grafana, Prometheus, and Datadog for both cloud and on-prem environments
• Ability to support and monitor large-scale cloud-native microservices environments, including log analysis and proactive alerting
• Strong troubleshooting skills for complex production issues, including Tier IV escalations, system outages, and connectivity problems
• Experience creating operational documentation, procedures, and deployment MOPs to standardize and improve operational processes
• Experience deploying and managing Datadog agents, building monitoring dashboards, and conducting capacity planning
• Knowledge of infrastructure and network monitoring exporters for real-time metrics collection
• Proficiency with network analysis tools such as NetScout nGeniusONE and nGeniusPULSE for diagnostics, performance monitoring, and identifying abnormal traffic patterns
• Ability to generate analytical reports and dashboards for capacity planning, network optimization, and performance improvements
• Willingness to travel and relocate as needed to provide services to clients throughout the US

WHAT'S IN IT FOR YOU

• Opportunity to work with cutting-edge cloud and DevOps technologies in a dynamic, client-focused environment
• Collaborative and supportive team culture with a focus on professional growth and development
• Exposure to large-scale, cloud-native microservices and enterprise infrastructure projects
• Flexible hybrid work arrangement
• Potential for travel and diverse project experience across the US
• Competitive compensation and benefits package