Senior DevSecOps / Security Engineer (B2B Contract)
Toloka
senior-devsecops-security-engineer-b2b-contract-w3o6ba
Opis
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 .
Recently, we secured strategic investment led by Bezos Expeditions with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed across the USA, UK, the Netherlands, Israel, Czech Republic, Serbia , and more. We are headquartered in Amsterdam.
About the Position
Toloka is growing rapidly, adding new platforms and infrastructure across multiple cloud environments. We are hiring a senior, hands-on security engineer to own infrastructure security and vulnerability management: Kubernetes and service-mesh security, cloud hardening, and vulnerability remediation.
This is a senior, self-directed role. It requires the ability to define scope and drive execution independently, with ownership of core security tooling and processes from day one.
What you'll actually do
- Own vulnerability management. Operate and maintain the vulnerability-management platform. Ensure container images are scanned and patched on a defined cadence. Maintain supply-chain scanning tooling and its severity-classification configuration. Define and enforce remediation SLAs.
- Own cloud security across multiple providers. AWS, GCP, and Azure hardening, logging, and service-account governance.
- Own Kubernetes and service-mesh security. Operate the service mesh and maintain the policy-as-code rollout so that policy is enforced automatically.
- Audit and secure infrastructure in newly added environments. Review build pipelines and infrastructure in newer parts of the business as they come online, and remediate findings.
- Contribute to security architecture and design review. Review new integrations and internal systems, including AI agents running in production, for security risk.
- Support workforce and endpoint security. Contribute to VDI and browser-isolation initiatives as the program matures.
- Use agentic tooling in your workflow. 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.
Key Priorities for the First 6 Months
The first six months focus on establishing full ownership of infrastructure and vulnerability management.
- Weeks 1–2
- Onboard to the cloud environment, Kubernetes architecture, and existing security tooling.
- Month 1
- Establish ownership of the vulnerability-management process; findings triaged and remediated on a defined cadence.
- 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; begin infrastructure audits in newly added environments.
- 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; independently deliver security-architecture design reviews.
Core Tech Stack
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. Detections and access rules are managed as code through pull requests. Familiarity with coding/agentic tools for infrastructure review is expected.
What We Evaluate
- 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).
- Vulnerability-management experience
- SCA/SAST tooling and SLA-driven remediation practice.
- Fluency with coding agents
- experience using agentic tools for infrastructure-as-code review or investigation work, and verifying their output.
- Ability to work independently at a senior level
- defining scope and priorities without detailed direction.
- Clear written and verbal communication
- able to run design reviews and communicate risk to engineers and leadership.
Nice to Have, None Required
Experience securing multi-tenant or multi-identity-domain environments; supply-chain security tooling (SBOM, Socket, JFrog, or similar); secure-SDLC or AppSec experience; Terraform/IaC at scale; relevant certifications (e.g. AWS/GCP/Azure security specialties, CKS).
What We Can Offer
- 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.
Rad na daljinu: Da
Zahtevi
Nivo: senior
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