Key skills
AWSAzureCloudDockerGrafanaJenkinsKubernetesLinuxPostgresPrometheusPythonRubyTerraformBashAIMLAmazon Web ServicesGoogle CloudGitLab CIPostgreSQLDatadogGitGitHubGitLabVersion ControlCI/CDCommunication
About this role
Role Overview
- Help drive the overall architecture for the Agiloft CloudOps systems.
- Design systems that are scalable and resilient utilizing DevOps and security best practices.
- Collaborate cross-functional and lead DevOps initiatives, providing expertise to drive the departmental goals.
- Assume a team lead role for various projects and initiatives and advising on complex technical issues.
- Conduct performance analysis and optimization for complex systems.
- Lead major infrastructure migrations and upgrades.
- Develop and maintain documentation and standards.
- Participate in on-call rotation
- Other duties as assigned
Requirements
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
- 7+ years of related experience
- Expertise in DevOps principles, practices, and technologies including Amazon Web Services (AWS) and Terraform or other Infrastructure as Code (IaC)
- Advanced knowledge of Linux operating systems and troubleshooting OS issues
- Highly skilled in setting up and managing monitoring tools (such as Prometheus, Grafana, Datadog, Nagios, Open Telemetry, ELK, or similar tools)
- Advanced knowledge of scripting languages and automation utilizing Python, Bash or Ruby
- Proficiency in using relevant AI Tools in the SLDC (for example, GitHub Copilot, JetBrains AI Assistant)
- Deep understanding of:
- Networking concepts and principles
- Version Control Systems (such as Git)
- CI/CD tools such as Jenkins, Gitlab CI/CD, Github, or similar tool
- Containerization and orchestration (Docker, Kubernetes)
- Expertise with cloud platforms (AWS, Azure, or Google Cloud).
- Superior problem-solving, troubleshooting/debugging skills, and communication skills.
- Proven experience in security best practices including identity and access management, encryption, and vulnerability assessments
- Eagerness to learn and adapt to new technologies and tools.
- Participate in on-call rotation schedule with the rest of the team
- Experience with adopting AI to supplement code development (Cursor, Copilot)
- Experience with managing and optimizing vector databases for AI/ML (e.g., PostgreSQL vectordb)
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Grafana
- Jenkins
- Kubernetes
- Linux
- Postgres
- Prometheus
- Python
- Ruby
- Terraform
Benefits
- Floating holidays
- Quarterly, no-questions-asked wellness day
- Support for multiple Employee Resource Groups (ERGs)
- Healthy work/life balance