Platform Engineer II

Amerisure Mutual Insurance•Farmington Hills, MI

8d•Hybrid

About The Position

Amerisure is recruiting a Platform Engineer II to work with application engineering teams on the design, development, and maintenance of an internal developer platform (IDP) that provides self-service capabilities. The role takes on complex platform responsibilities, including optimizing cloud-based solutions, ensuring compliance with security policies, and implementing scalable automation to improve efficiency and reduce manual processes. This is a hybrid position based out of Amerisure’s Farmington Hills, Michigan office, with three days in the office and two days working from home. The role collaborates with software engineers, QA, and DevOps teams to improve development and deployment workflows, maintain secure and reliable platform services, and optimize data workflows and infrastructure. Amerisure describes its total rewards package as including competitive base pay, performance-based incentive pay, health and welfare benefits, a 401(k) savings plan with profit sharing, and paid time off programs.

Requirements

Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience.
At least 3 years of experience in Platform Engineering, DevOps, or Site Reliability Engineering, focused on building developer platforms.
At least 3 years of experience with DevOps principles, including version control systems such as Git and CI/CD pipelines.
At least 3 years of experience with cloud platforms such as AWS, Azure, or OCI.
AWS Solutions Architect certification or equivalent experience required.
At least 3 years of experience with Infrastructure as Code tools such as Terraform, CloudFormation, and Ansible.
At least 3 years of experience with containerization and orchestration tools such as ECS, EKS, Docker, and Kubernetes.
Experience deploying and managing large-scale cloud data platforms or infrastructure, such as Databricks, Aurora, or RDS.
Databricks Platform Administrator certification or equivalent experience required.
Experience designing and building self-service infrastructure, preferably within a microservices architecture.
At least 5 years of progressive server administration experience with Windows and Linux.
Experience leveraging artificial intelligence to drive innovation and solve complex problems.
Demonstrated ability to implement AI-driven solutions that optimize processes, enhance decision-making, or create transformative business outcomes.
Expertise with monitoring and observability tools such as Datadog and PagerDuty.
Scripting skills in Bash, Python, or PowerShell.
Strong understanding of networking, security, and identity management in cloud environments.
Knowledge of security best practices and compliance frameworks such as SOC2 and ISO 27001.
Strong knowledge of agile methodologies.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Excellent communication and teamwork skills.

Nice To Haves

Certification in containerization or orchestration tools is preferred.
Experience building self-service infrastructure within a microservices architecture is preferred.

Responsibilities

Contribute to the design and implementation of scalable, reliable platform services that support product engineering teams.
Help build tools, libraries, and frameworks that improve developer experience and streamline deployment pipelines.
Maintain the infrastructure codebase with attention to quality and security practices.
Help maintain self-service infrastructure capabilities, including CI/CD pipelines, automated provisioning, and monitoring systems.
Implement and manage infrastructure as code to provide consistent development, staging, and production environments.
Monitor platform performance and reliability using logging and alerting systems, and provide input on resource utilization and system stability improvements.
Manage containerized environments and work with development teams to deploy and monitor container orchestration systems.
Develop and maintain scalable, high-performance data platform infrastructure.
Collaborate with software engineers, QA, and DevOps teams to understand platform needs and improve development and deployment workflows.
Follow organizational policies and best practices to support platform security, compliance, and reliability.
Automate related processes where possible.
Support optimization of data workflows and infrastructure through automation and performance tuning.
Stay informed about emerging technologies and industry trends in platform engineering, cloud services, and DevOps, and identify opportunities to improve processes and tools.