Sr. DevOps Engineer

At Seemplicity, we’re creating the leading all-in-one productivity platform for security teams, simplifying, optimizing, and scaling the way they reduce risk through smart, automated workflows.

Join Our Innovative DevOps Team

As a Senior DevOps Engineer, you'll be a core member of our high-performance DevOps team, responsible for designing and implementing scalable systems that ensure Seemplicity's seamless operation and support our exponential growth. You'll work alongside cutting-edge technologies in a fast-paced, agile environment, collaborating closely with our innovative product and engineering teams.

Responsibilities:

Your Impact

• Design and implement scalable infrastructure and cloud environments, tools, and services to ensure Seemplicity's uptime and performance.
• Contribute to our product's architectural and infrastructure design, evaluating and implementing new cloud technologies and open-source tools to enhance product delivery and availability.
• Plan and execute data capacity growth and scaling strategies for various products.
• Oversee the smooth execution of production-grade solutions.
• Leave a lasting mark on the company's products and tackle once-in-a-lifetime technology challenges as part of an early-stage team addressing a critical customer pain point.
  
  

• Extensive Experience: 6+ years as a DevOps Engineer in high-scale, distributed Linux environments.
• Cloud Mastery: Proven expertise with AWS Cloud Services, Azure, and infrastructure. Familiarity with: routing tables, peering, gateways, Route53, storage, and cost analysis.
• CI/CD Proficiency: Deep knowledge and hands-on experience with building pipelines. Familiarity with at least one of: Github Actions \ CircleCI \ GitLab.
• Monitoring and Alerting tools: Extensive experience with monitoring systems. Familiarity with at least one of: Prometheus, Datadog, and NewRelic.
• Scripting Skills: Proficiency in scripting and programming languages, particularly Python and Go.
• Containerization: Hands-on experience with containerized environments.
• At least 4 years of experience: Kubernetes (including Helm, operators, ingress), Dockerfiles, and related tools (e.g., ArgoCD, Helm, GitHub Action, Istio).
• Networking: cloud networking and infrastructure
• Infrastructure as Code: At least 4 years of experience with Terraform for infrastructure provisioning and management.
  
  

• At least 3-4 years of experience with maintaining and optimizing DB - Postgres.
• Vast experience with Clickhouse
• Experience in maintaining and managing Data pipelines - ETL
• Databrix - advantage
• Monitoring and alerting:
• Datadog
• Grafana
• Observability
• Opentelematry
• At least 4 years of vast experience in cloud architecture.
• At least 4 years of experience working in a production environment.
• 1-2 years of experience in the Adoption of AI tools.