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.