Cloud Security Engineer (Hybrid)

DOU Polska

Województwo mazowieckie

In loco

PLN 180.000 - 300.000

Tempo pieno

43 ore fa
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Descrizione del lavoro

DOU Polska is seeking a sole security engineer to own end-to-end cloud security architecture across Azure, AWS, and GCP. You will design policy-as-code guardrails and embed security baselines into automated pipelines, working with DevOps, MLOps, and engineering teams to maintain fast delivery while keeping security strong.

You will lead vulnerability programs, automate SAST/DAST/SCA, and drive incident response with clear SLAs, shaping the security roadmap for a fast-growing AI platform in

Competenze

  • 4+ years hands-on Cloud Security or Security Engineering in multi-cloud environments.
  • Deep Azure security architecture expertise.
  • Strong Kubernetes security knowledge: RBAC, network policies, admission controllers, image scanning.
  • Hands-on Terraform and IaC with policy-as-code.
  • Experience integrating SAST/DAST/SCA/secret scanning into CI/CD pipelines.
  • Clear communication with engineering and management stakeholders.
  • Familiarity with security requirements for LLM/AI infrastructure.

Mansioni

  • Architect and enforce multi-cloud security strategy across Azure, AWS, and GCP (IAM, networks, secrets).
  • Embed guardrails in Terraform and CI/CD via policy-as-code (OPA, Sentinel, Azure Policy).
  • Own AKS security: RBAC, network policies, pod security, admission controls.
  • Manage vulnerabilities and posture via CNAPP with SLA-driven remediation.
  • Integrate SAST/DAST/SCA/secret scanning into CI/CD with engineering teams.
  • Lead cloud security incident response and post-mortems.
  • Collaborate with DevOps, MLOps, FinOps to bake security baselines into workflows.
  • Handle customer security assessments with Sales/Legal.

Conoscenze

Cloud security engineering
Kubernetes security
Terraform / IaC
Policy-as-code (OPA/Sentinel/Azure)
CI/CD security integration
Stakeholder communication
AI/LLM infra security
Security incident response

Strumenti

Azure Security architecture
Kubernetes security (AKS)
CNAPP platform
SAST/DAST/SCA/secret scanning tools
Terraform
Azure Policy

Descrizione del lavoro

The Role

As the sole security engineer across the entire company, you will take full ownership of the end-to-end cloud security architecture and strategy. The core challenge is not gatekeeping, but designing policy-as-code guardrails and proactive security baselines that embed natively into automated pipelines. You will work directly with DevOps, MLOps, and engineering teams to maintain high software delivery velocity while securing scalable cloud and AI infrastructure.

About The Product

The platform transforms live sports broadcasts into personalized, publication-ready highlight packages while games are actively in progress. Operating at continuous scale, it automatically ingests, analyzes, and tags video streams to identify key moments. The system processes massive data volumes with zero tolerance for latency, directly powering downstream consumer-facing media products.

Technology Stack:

The core cloud infrastructure relies on Azure (with AWS/GCP workloads), provisioned through Terraform and automated CI/CD pipelines. Workloads run on Kubernetes (AKS) with policy enforcement via OPA, Sentinel, and Azure Policy. Vulnerability management and runtime monitoring are driven through a CNAPP platform, while Python is utilized for automation and custom security integrations.

What You’ll Be Doing
  • Architect and enforce the unified multi-cloud security strategy across Azure, AWS, and GCP covering IAM, network security, and secrets management
  • Embed automated guardrails in Terraform and CI/CD pipelines using policy-as-code (OPA, Sentinel, Azure Policy) to block misconfigurations before deployment
  • Own Kubernetes (AKS) cluster security, establishing RBAC, network policies, pod security standards, and admission control controls
  • Drive end-to-end vulnerability and posture management through the CNAPP platform, managing findings to closure under strict SLAs
  • Integrate automated SAST, DAST, SCA, and secret scanning into CI/CD workflows, partnering with engineering teams on remediation
  • Lead cloud security incident response procedures, conducting post-mortems and implementing preventive preventive measures
  • Collaborate with DevOps, MLOps, and FinOps teams to embed security baselines directly into development workflows without impacting delivery velocity
  • Manage customer security assessments and technical questionnaires in coordination with Sales and Legal stakeholders
What We Expect
Must-have
  • 4+ years of hands-on experience in Cloud Security or Security Engineering within multi-cloud environments
  • Deep expertise in Azure security architecture and cloud-native controls
  • Strong practical knowledge of Kubernetes security, including RBAC, network policies, admission controllers, and image scanning
  • Hands-on proficiency with Terraform and Infrastructure as Code using policy-as-code principles
  • Proven background integrating security controls (SAST/DAST/SCA/secret scanning) into CI/CD pipelines alongside DevOps teams
  • Clear communication skills with experience partnering directly with engineering and management stakeholders
  • Familiarity with security requirements for LLM and AI infrastructure
Nice-to-have
  • Proficiency in Python for developing custom security tooling and automation
  • Working experience with SOC2 compliance frameworks and audit readiness
  • Prior experience serving as a security lead or hands-on technical lead
  • Exposure to modern container security practices including image signing, SBOMs, and runtime protection
Why This Role Is Worth Your Time
  • You have complete autonomy and ownership as the single security authority shaping the security roadmap for a fast-growing AI platform
  • You are building practical, developer-friendly guardrails rather than acting as a traditional gatekeeper, directly embedding security into high-velocity engineering workflows
  • The role provides broad multi-cloud exposure across modern Kubernetes, policy-as-code, and emerging LLM/AI infrastructure domains
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