DevSecOps Expert (Kubernetes, AWS, Terraform)
Top 3 Reasons To Join Us
Competitive Compensation
Cutting-Edge Technology, AI Security
Global Environment
The Job
- Define and execute the end-to-end DevSecOps (CI/CD, infrastructure, security, observability).
- Architect, deploy, and operate cloud infrastructure (AWS) with focus on scalability, high availability (HA), and security.
- Design and optimize CI/CD pipelines using Jenkins, GitLab CI, ArgoCD.
- Standardize and manage Kubernetes environments (EKS / on-prem), including GPU workloads, networking, ingress, and autoscaling.
- Implement Infrastructure as Code (Terraform, Ansible) for automated provisioning and operations.
- Build and maintain monitoring & observability systems (Prometheus, ELK/OpenSearch, Datadog).
- Drive DevSecOps best practices: SAST, DAST, container security, SBOM.
- Optimize infrastructure cost following FinOps principles.
- Collaborate closely with Engineering, AI, Data, and Security teams.
- Develop runbooks, disaster recovery (DR) plans, and design high availability architectures.
Your Skills and Experience
Requirements
- Bachelor’s degree in computer science, IT, or related field.
- 7+ years in DevOps / SRE / Platform Engineering.
- Proven experience operating large-scale production systems (AI/GPU workloads is a strong advantage).
Technical Skills
- Cloud & Infrastructure: Strong expertise in AWS / Azure / GCP; solid understanding of HA, DR, multi-region architecture.
- Containers & Orchestration: Hands-on experience with Docker & Kubernetes (EKS/AKS/on-prem); strong understanding of networking (CNI, ingress); service mesh is a plus.
- CI/CD: Experience with Jenkins, GitLab CI, ArgoCD; ability to design full pipelines (build → scan → deploy → rollback).
- Infrastructure as Code: Strong hands-on with Terraform (required); Ansible/Helm is a plus.
- Observability: Experience with Prometheus, Grafana, ELK/OpenSearch, Datadog; understanding of APM & distributed tracing (OpenTelemetry is a plus).
- Security: Solid knowledge of DevSecOps practices (SAST, DAST, container security); experience with tools like Trivy, Dependency-Track, DefectDojo.
- Knowledge of Kafka, ClickHouse, or data pipelines.
- Understanding of model reproducibility, GPU workload automation, and advanced deployment patterns (canary, A/B testing, shadow traffic).
Preferred
- Experience building Internal Developer Platform (IDP).
- Knowledge of tools such as KServe, MLflow, Airflow, DVC.
- FinOps mindset and cost optimization experience.
- Relevant certifications (AWS / Azure / GCP, CKA / CKAD).
Why You'll Love Working Here
- Work on cutting-edge platforms at the intersection of Cloud, AI, and Cybersecurity.
- Lead impactful initiatives with high ownership and real business impact.
- Opportunity to build and scale modern DevSecOps platforms from the ground up.
- Dynamic, fast-growing environment with top-tier engineering talent.
Skills
- A/B Testing
- AI
- Airflow
- AKS
- Ansible
- Argo CD
- Automation
- AWS
- Azure
- CI/CD
- ClickHouse
- Cloud
- Cloud Security
- Container Security
- Cybersecurity
- DAST
- Data Pipelines
- Datadog
- DevOps
- DevSecOps
- Docker
- EKS
- ELK
- FinOps
- GCP
- GitLab
- Grafana
- Helm
- Infrastructure as Code
- Jenkins
- Kafka
- Kubernetes
- MLflow
- Networking
- Observability
- OpenSearch
- OpenTelemetry
- Prometheus
- SAST
- Terraform