Freelance Senior DevSecOps Engineer

Toloka

• $125K — $150K *
Union, NJ 07083In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in security engineering focused on cloud and Kubernetes environments.
  • Proficient in vulnerability management and supply-chain security practices.
  • Experience with multi-cloud providers (AWS, GCP, Azure) and their security protocols.
  • Strong understanding of policy-as-code concepts and tools like Kyverno or OPA.
  • Demonstrated ability to work independently and manage security processes effectively.
  • Excellent communication skills for technical and non-technical audiences.

Responsibilities

  • Own and operate the vulnerability management platform to ensure timely scanning and patching of container images.
  • Manage cloud security across AWS, GCP, and Azure, including compliance and governance tasks.
  • Oversee Kubernetes and service mesh security, enforcing policies with policy-as-code.
  • Audit and secure new infrastructure entering the business, remediating any security findings.
  • Review security for new systems and integrations, focusing on AI deployment risks.
  • Participate in endpoint security initiatives and contribute to broader security programs.
  • Utilize coding agents for infrastructure review and automate security checks in workflows.

Benefits

  • Contract (B2B) collaboration with potential to join a project team.
  • Flexible, fully remote schedule with a commitment of 40 hours per week.
  • Opportunity to work at the forefront of AI development with a dynamic team.
  • Engagement in projects with notable AI industry leaders and major brands.
  • Supportive and friendly work community.
Full Job Description
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.

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