Job
Description
Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, youll be part of a passionate team thats dedicated to accomplishing hard things. As a DevOps & Test Infrastructure Engineer your goal is to design, implement, and maintain a robust, scalable, and secure AWS infrastructure to support our growing testing needs. You will be instrumental in building and automating our DevOps pipeline, ensuring efficient and reliable testing processes. This role offers the opportunity to shape our performance testing environment and contribute directly to the quality and speed of our clients Appian software delivery. Responsibilities Architecture Design: Design and architect a highly scalable and cost-effective AWS infrastructure tailored for testing purposes, considering security, performance, and maintainability. DevOps Pipeline Design: Architect a secure and automated DevOps pipeline on AWS, integrating tools such as Jenkins for continuous integration/continuous delivery (CI/CD) and Locust for performance testing. Infrastructure as Code (IaC): Implement infrastructure as code (IaC) using tools like Terraform or AWS CloudFormation to enable automated deployment and scaling of the testing environment. Security Implementation: Implement and enforce security best practices across the AWS infrastructure and DevOps pipeline, ensuring compliance and protecting sensitive data. Jenkins or similar CI/CD automation platforms Configuration & Administration: Install, configure, and administer Jenkins, including setting up build pipelines, managing plugins, and ensuring its scalability and reliability. Locust Configuration & Administration: Install, configure, and administer Locust for performance and load testing. Automation: Automate the deployment, scaling, and management of all infrastructure components and the DevOps pipeline. Monitoring and Logging: Implement comprehensive monitoring and logging solutions to proactively identify and resolve issues within the testing environment, including also exposing testing results available for consumption. Troubleshooting and Support: Provide expert-level troubleshooting and support for the testing infrastructure and DevOps pipeline. Collaboration: Work closely with development, QA, and operations teams to understand their needs and provide effective solutions. Documentation: Create and maintain clear and concise documentation for the infrastructure, pipeline, and processes. Continuous Improvement: Stay up-to-date with the latest AWS services and DevOps best practices, and proactively identify opportunities for improvement. Qualifications Proven experience in designing and implementing scalable architectures on Amazon Web Services (AWS). Strong understanding of DevOps principles and practices. Hands-on experience with CI/CD tools, for example Jenkins, including pipeline creation and administration. Experience with performance testing tools, preferably Locust, including test design and execution. Proficiency in infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation. Solid understanding of security best practices in cloud environments. Experience with containerization technologies like Docker and orchestration tools like Kubernetes or AWS ECS (preferred). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, CloudWatch). Excellent scripting skills (e.g., Python, Bash). Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. AWS certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified DevOps Engineer - Professional). Experience with other testing tools and frameworks. Experience with agile development methodologies. Education B.S. in Computer Science, Engineering, Information Systems, or related field. Working Conditions Opportunity to work on enterprise-scale applications across different industries.
