Key skills
RShellBashAIMLMLOpsMLflowKubeflowAWSAzureGCPTerraformKubernetesDockerJenkinsGitHub ActionsAnsiblePodmanIAMSageMakerPostgreSQLMySQLRedisLDAPGitGitHubGitLabCI/CDCommunication
About this role
Schellman is a leading provider of attestation and compliance services, specializing in cybersecurity assessments. The DevOps Engineer will play a key role in building and maintaining secure and scalable cloud infrastructure, collaborating with development and security teams to optimize processes and implement new technologies.
Responsibilities:
- Identify, manage, and optimize our current AWS infrastructure with a focus on Security, Resiliency, and Observability
- Assist the Development team in automation/performance optimizations and adherence to best practices
- Contribute to the roadmap for assigned services and capabilities, providing guidance and expertise when designing solutions for business needs
- Participate in R&D for process improvement and release speed
- Partner with other IT teams, as well as business verticals, to automate manual processes with scalability, cohesion, and security in mind
- Build and maintain strong relationships with our vendors and service providers
- Leverage APIs to script and automate various IT operations
- Support the evaluation and implementation of new services to address the needs of our team members and clients
- Collaborate with the AI Team to support ML workload infrastructure, including model deployment pipelines, compute resource management, and environment reproducibility
- Support compliance requirements in accordance with applicable frameworks (SOC 2, PCI, HIPAA)
- Quickly identify, communicate, diagnose, and resolve technical issues
- Build and maintain detailed and accurate documentation for our processes and workflows
Requirements:
- Hands-on experience with DevOps tools including: Cloud (AWS/Azure/GCP), Kubernetes, Containers (Docker/Podman), Infrastructure as Code (Terraform/OpenTofu/Ansible), git workflows (GitLab/GitHub), CI/CD (GitHub Actions, Jenkins, GitLab Pipelines), Shell scripting (Bash), and Database administration (MySQL, PostgreSQL, Redis)
- Solid understanding of Information Security, IAM, LDAP, APIs, and Networking
- Strong knowledge and proficiency with Linux OS
- Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, SageMaker, or similar) and experience supporting ML pipeline infrastructure
- High attention to detail with the ability to manage multiple priorities simultaneously
- Proven track record of proactively identifying and solving problems
- Excellent analytical, verbal, and written communication skills
- Comfortable working in a collaborative, fast-moving, dynamic environment
- Self-starter with the ability to effectively problem solve, prioritize, and execute tasks with minimal direction
- Bachelor's degree in a relevant Information Technology discipline, or equivalent years of directly related experience
- 4 or more years of overall IT experience, with 2 or more years of DevOps in a cloud-native environment
- AWS Certifications (Solutions Architect or SysOps Administrator Associate) — obtained or actively in progress
- Other accomplishments, awards, or projects that showcase skills & abilities