Freelance Senior DevSecOps Engineer

Toloka; Georgia; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Contract (B2B) collaboration

Fully remote schedule

40 hours per week

Work with AI industry leaders

Job summary

Toloka AI is seeking a security-focused engineering professional to own cloud security across multi-cloud environments (AWS, GCP, Azure), manage vulnerability and supply-chain tooling, and implement policy-as-code across Kubernetes and CI/CD pipelines.

You will work in a remote-first, globally distributed team, collaborating closely with experts to harden IAM, logging, service accounts, and network controls while advancing secure deployment practices.

Qualifications

• Experience securing cloud infrastructure across AWS, GCP, and Azure.
• Proficiency with Kubernetes, service mesh, and policy-as-code tooling.
• Strong background in vulnerability-management and supply-chain security.

Responsibilities

• Operate and maintain the vulnerability-management platform.
• Own cloud security across multiple providers, including hardening and governance.
• Implement policy-as-code rules and review IaC for security risks.
• Lead security reviews of pipelines, containers, and cloud configurations.
• Collaborate with engineers and leadership to communicate risk clearly.

Skills

Cloud security

Kubernetes security

Policy-as-code

Terraform

CI/CD

IAM & logging

Multi-cloud security

Container security

Tools

Kubernetes

Kyverno

OPA

Terraform

AWS

GCP

Azure

Job description

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , poolside , Recraft , and Shopify .

Our remote-first team is globally distributed around the world: Toloka is growing rapidly, adding new platforms and infrastructure across multiple cloud environments. Kubernetes and service-mesh security, cloud hardening, and vulnerability remediation.

Responsibilities

• Operate and maintain the vulnerability-management platform.
• Maintain supply-chain scanning tooling and its severity-classification configuration.
• Own cloud security across multiple providers. AWS, GCP, and Azure hardening, logging, and service-account governance.
• Operate the service mesh and maintain the policy-as-code rollout so that policy is enforced automatically.
• Review build pipelines and infrastructure in newer parts of the business as they come online, and remediate findings.
• Review new integrations and internal systems, including AI agents running in production, for security risk.
• Use coding agents for first-pass review of infrastructure-as-code, container configuration, and cloud policy, verifying findings against source configuration before acting on them.
• Weeks 1–2 - Onboard to the cloud environment, Kubernetes architecture, and existing security tooling.
• Month 2 - Complete configuration of supply-chain scanning tooling; implement automated image scanning and patching; deploy initial policy-as-code rules.
• Month 3 - Complete policy-as-code rollout in at least one environment; Month 4 - Close outstanding cloud logging and service-account gaps; establish and enforce a documented multi-cloud hardening baseline.
• Months 5–6 - Full ownership of infrastructure and cloud security as a domain; Kubernetes and service mesh, policy-as-code tooling (Kyverno/OPA), Terraform, AWS/GCP/Azure, vulnerability-management and supply-chain scanning platforms, container tooling, CI/CD, and Git. Familiarity with coding/agentic tools for infrastructure review is expected.
• Production experience hardening cloud infrastructure - IAM, logging, service accounts, network security, on at least one major cloud provider (multi-cloud experience is a plus).
• Kubernetes and container security - service mesh (Cilium, Istio, or similar) and policy-as-code (Kyverno, OPA, or similar).
• Fluency with coding agents - experience using agentic tools for infrastructure-as-code review or investigation work, and verifying their output.
• Clear written and verbal communication - able to run design reviews and communicate risk to engineers and leadership.
• AWS/GCP/Azure security specialties, CKS).

Benefits & Details

• Contract (B2B) collaboration , with a path into a project team if things go well;
• Flexible, fully remote schedule (40 hours per week );
• Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;
• Projects with customers that are AI industry leaders and well-known household names;
• Friendly community.