Hire Expert Remote DevSecOps Engineers for agentic systems

Hire DevSecOps engineer
Looking for top-tier DevSecOps talent to secure and scale agentic systems and cloud infrastructure? Upstaff’s remote DevSecOps engineers architect, harden, and operate high-security environments for autonomous agents on AWS (with strong multi-cloud capability). They implement zero-trust isolation, secure CI/CD, and compliance-ready infrastructure so your Agent Development Platform (ADP) stays protected, reliable, and production-ready. Key capabilities our engineers deliver:
  • Agent Sandboxing & Isolation — Firecracker MicroVMs for ephemeral, strictly isolated agent runtimes, combined with Kubernetes and Docker where appropriate.
  • Secure Data Infrastructure — Multi-layered stacks with PostgreSQL (OLTP), ChromaDB/PGVector (vector), and Neo4j (graph) optimized for AI-driven and agentic applications.
  • Event-Driven Orchestration — High-performance pipelines using AWS SQS, EventBridge, and Kafka for agent-to-agent communication and Human-in-the-Loop (HITL) flows.
  • Infrastructure as Code & Security Gates — Automated, repeatable provisioning of AWS and Kubernetes with strong CI/CD security controls (Python + Bash).
  • Zero-Trust & Identity — Network hardening (strict egress controls, firewalls, proxy-only outbound), WorkOS/IDP multi-tenancy, and logical tenant separation.
  • Compliance Readiness — SOC 2, ISO 27001, GDPR, and OWASP-aligned practices.
Hire Upstaff’s DevSecOps pros to power secure agentic systems with precision and confidence.
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Meet Upstaff’s Vetted DevOps

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Rust
Firecracker
Firecracker MicroVMs
...
  • 20 years of SRE expertise delivering scalable, containerized infrastructure and fault-tolerant systems across multiple countries
  • Firecracker expert with high-level command of security isolation and network isolation. Architected and tuned microVM sandboxes that provide true kernel separation and tightly scoped networking, setting a high bar for safe execution of untrusted workloads.
  • Founder of Pullrun (pullrun.dev), a 12MB Rust-native universal runtime unifying OCI image execution across containers, VMs, Kubernetes, and AI agents with native MCP AI orchestration
  • Proficient in Rust, Go, Python, Kubernetes, Docker, Prometheus, Grafana, Terraform, and Ansible.
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Senior
Algiers, Algeria
GCP
AWS
Kubernetes
Firecracker MicroVMs
...
  • AVP - Technology Lead with 12 years in IT and 8+ years of architecture and platform engineering experience across regulated financial services.
  • GCP-based Kubernetes platforms, IAM and data-risk controls, and a Gemini/Vertex AI-powered RAG agent shipped for a live trading platform.
  • Architecting secure AWS production environments: Firecracker MicroVMs, 40+ clusters with Terraform;
  • Background spans AWS and GCP environments, IT governance frameworks, cybersecurity and risk reviews, and coordinating transformation and migration work across engineering, security, and compliance teams, SOC2 and ISO 27001.
  • Multi-layered data infrastructures (PostgreSQL, ChromaDB/PGVector, and Neo4j) for AI agents

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Senior
United States
AWS 5yr.
Docker 5yr.
Terraform 3yr.
Kubernetes 3yr.
Ansible 3yr.
...
  • Experienced DevSecOps, Cloud& Platform Engineer with 10+ years in cloud infrastructure, AWS, Kubernetes, Ansible, Helm, Terraform, CI/CD pipelines
  • Skilled in managing scalable, high-availability systems with expertise in AWS: EC2, S3, RDS, Lambda, CloudWatch, IAM
  • Firecracker MicroVMs implementation and tuning
  • Strong background in infrastructure as code, monitoring (Datadog, Grafana), incident management, services and workflows orchestration
  • PostgreSQL deployment and tuning, OLTP, PGVector
  • Event-driven architectures and streaming for real-time data processing: Kafka, SQS
  • Hands-on in in network protocols, including BGP, MPLS, OSPF
  • Degree in Electrical, Electronics, and Communications Engineering

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Senior
Buenos Aires, Argentina
AWS
MLOps
Kubernetes
Terraform
Gitlab actions
...
- DevOps/Cloud Architect with 10+ years of experience in DevOps, Cloud, and MLOps engineering; - Led large-scale projects including Hadoop-to-AWS OLAP migration, cutting operational costs by 25% and improving system performance; - Expertise in Kubernetes-based microservices architectures, AWS Fargate, and high-availability designs achieving 99.99% uptime; - Experience in multi-cloud (AWS, GCP) and hybrid on-prem/cloud adoption; - Skilled in containerization and orchestration with Docker, Kubernetes, and OpenShift; - Advanced in Infrastructure as Code (Terraform, Helm, Ansible) and GitOps/CI/CD automation (GitLab CI, GitHub Actions, ArgoCD, Jenkins); - Delivered automated CI/CD for serverless apps with AWS SAM, reducing deployment time from hours to 20 minutes; - Experienced in MLOps with AWS Sagemaker and Kubeflow, building end-to-end ML workflows; - Skilled in DevSecOps, implementing RBAC, Secrets Manager, SAST/SCA scans, reducing vulnerabilities by 50%; - Skilled in cloud networking, storage, and big data systems (Spark, Hadoop, EMR, Kinesis); - Expertise in Python, Go, Java, and Bash for automation and integration; - Experience of technical leadership, mentoring engineers, and guiding 50+ developers in Kubernetes/Docker adoption; - Experienced in architectural design, Cloud as Code initiatives, and cross-team collaboration; - Certified Kubernetes Administrator (CKA), AWS Solutions Architect, and GCP Professional Cloud Architect.
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Senior
Lisbon, Portugal
DevOps
...
- 7+ years of experience in IT - Azure (Virtual machine, blob storage) setup and configuration - DevOps Engineer with exemplary expertise in routine application, maintenance tasks, including troubleshooting and testing - Azure (Virtual machine, SQL servers, Blob storage, static web apps, application gateway) setup and configuration - CI/CD (Azure DevOps) setup and configuration - Intermediate English - Intermediate French - Available ASAP
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DevOps
...
- DevOps Engineer and Service Delivery. - Very capable to ensure the smooth running of severalareas and Systems Design, Integration, User Acceptance and Testing (UAT) and Systems - Integration and Stressing Test (SIT). - Intermediate English. - Available ASAP
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Senior
Damietta, Egypt

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DevOps tech radar: skill coverage across frameworks, integrations, databases – Adopt Trial Assess Hold levels by Upstaff vetted talent

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What’s Remote DevSecOps All About?

Table of Contents

What’s Remote DevSecOps All About? (for Agentic Systems)

DevSecOps embeds security into every stage of development and operations. For agentic systems this means designing environments where autonomous agents can run safely: isolated MicroVM runtimes, zero-trust networking, encrypted multi-tenant data planes, and automated security gates in the CI/CD pipeline. Remote DevSecOps engineers manage these controls from anywhere, using AWS, Kubernetes, Firecracker, IaC, and modern observability so agents stay isolated, compliant, and production-ready.
DevSecOps services for agentic systems provide the specialized architecture, security testing, and engineering guardrails required to safely deploy autonomous AI agents. Because agentic workflows are non-deterministic and execute code or API calls dynamically via modern architectures like the Model Context Protocol (MCP), traditional static vulnerability checks are no longer sufficient. 
Enterprises utilize DevSecOps consulting and specialized software vendors across two distinct areas: Securing Agent Infrastructure and Deploying Agentic DevSecOps Frameworks.

Where Remote DevSecOps Shines for Agentic Platforms

These engineers excel when you need:
  • Isolated, ephemeral runtimes for autonomous agents (Firecracker MicroVMs + container orchestration).
  • Secure multi-layered data platforms that combine transactional, vector, and graph stores for agent reasoning.
  • Event-driven architectures that support agent collaboration and human escalation without compromising security boundaries.
  • Zero-trust network posture and strong identity/multi-tenancy controls (WorkOS/IDP).
  • Compliance-ready infrastructure (SOC 2 / ISO 27001) for enterprise agent platforms in regulated or high-stakes domains (e.g., real-estate intelligence and similar ADPs).
DevSecOps Hire

Who Are Our Remote DevSecOps Engineers?

Our DevSecOps specialists typically bring deep AWS experience, Kubernetes security knowledge, strong Python/Bash automation skills, and hands-on work with MicroVMs, vector/graph databases, and event streaming. Many have background in both classic DevOps/SRE and security-focused roles, and they are comfortable operating in distributed, remote-first teams.

How to Spot the Right Remote DevSecOps Experience for Agentic Systems

Look for proven delivery of:
  • Firecracker MicroVM-based agent isolation and secure runtime environments.
  • Multi-database stacks (PostgreSQL + vector + graph) tuned for AI/agent workloads.
  • Event orchestration (SQS / EventBridge / Kafka) with security and reliability in mind.
  • IaC that produces repeatable, auditable, hardened AWS + Kubernetes infrastructure.
  • Zero-trust networking, strict egress controls, and multi-tenant identity solutions.
  • CI/CD pipelines that include security gates and compliance controls.
  • Experience preparing environments for SOC 2 / ISO 27001 readiness.

Remote DevSecOps Tech Focus (Agentic Systems, 2026)

Core stack emphasis drawn from current enterprise agent platforms:
  • Runtime isolation: Firecracker MicroVMs, Kubernetes, Docker
  • Cloud & IaC: AWS (primary), Terraform / CloudFormation-style tooling
  • Data: PostgreSQL, ChromaDB/PGVector, Neo4j
  • Events: AWS SQS, EventBridge, Kafka
  • Identity & multi-tenancy: WorkOS / IDP
  • Automation & security: Python, Bash, CI/CD security gates, OWASP practices
  • Compliance: SOC 2, ISO 27001, GDPR-aligned controls
DevOps vs DevSecOps
Direct Service & Tool Comparison
Service FocusKey Vendors & Consulting FirmsPrimary Tooling Integrated
Agent Infrastructure & TrustSimform, Upstaff, Eminence Tech Solutions, Salesforce DevSecOpsSalesforce Shield, Microsoft Exposure Management, Open Policy Agent (OPA)
Autonomous AppSec & Code FixingQuite AI, Opsera, TestingXpertsPrezero Code Property Graph (CPG), Snyk, Checkmarx, SonarQube
Enterprise Security ConsultingCyberSecOp, Futurism Secure DevOpsCustom architectures for AWS, Azure, and Kubernetes runtime security

Find a DevSecOps Engineer for Hire on Upstaff

We know you’re tired of looking for a skilled DevSecOps developer. But that’s about to change because you’ve come across Upstaff.Working with the platform, you get:
  • Access to an international pool of talent.
  • Assistance from our HRs in identifying candidates.
  • Up to 2 days of waiting for the perfect specialist for your project.
  • A guarantee of the quality of services of the hired contractor.
  • No additional fees.
You can spend time and resources on recruiting yourself. Or you can trust Upstaff and get the desired result quickly. Contact the platform manager to start cooperation!

Why Upstaff for DevSecOps

Upstaff connects you with vetted senior DevSecOps engineers who have hands-on experience securing agentic and AI-driven platforms. Average start in ~48 hours, strong KYD (Know Your Developer) process, and specialists available across preferred regions (including USA, LatAm, Europe and broader remote talent pools). Book a short discovery call and we’ll match you with engineers who already understand the security and isolation requirements of modern Agent Development Platforms.
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FAQs on DevSecOps for Agentic Systems

What does DevSecOps stand for? Arrow

DevSecOps stands for Development, Security, and Operations. It is the evolution of DevOps that embeds security practices, tools, and culture into every stage of the software development lifecycle instead of treating security as a final gate.

What is DevSecOps? Arrow

DevSecOps is a methodology and culture that integrates security as a shared responsibility across development, security, and operations teams. Security testing, policy enforcement, vulnerability scanning, and compliance checks are automated and run continuously — from the first line of code through build, test, deploy, and runtime — so that secure software can be delivered at the same speed as traditional DevOps.

What is the difference between DevOps and DevSecOps? Arrow

AspectDevOpsDevSecOps
Primary focusSpeed + collaboration between Dev & OpsSpeed + collaboration + security
Security timingOften added late (pre-production)Built-in from the start (“shift left”)
ResponsibilityDev + OpsDev + Sec + Ops (shared ownership)
AutomationCI/CD, IaC, monitoringSame + SAST, SCA, secrets scanning, IaC security, policy-as-code, container/runtime security
GoalFaster, more reliable releasesFaster, more reliable and secure releases
In short: DevOps optimizes for delivery speed and reliability. DevSecOps keeps that speed while making security a continuous, automated part of the pipeline.

Why DevSecOps? Arrow

  • Security vulnerabilities are far cheaper and easier to fix early.
  • Modern threats (supply-chain attacks, container escapes, secrets leakage, agent/runtime risks) move too fast for traditional “security at the end” approaches.
  • Compliance (SOC 2, ISO 27001, GDPR, etc.) increasingly requires continuous evidence, not annual audits.
  • Teams that properly implement DevSecOps ship faster and reduce critical vulnerabilities significantly.
  • In agentic and AI-driven systems, isolation, zero-trust networking, and secure runtime environments become non-negotiable — exactly what mature DevSecOps delivers.

What are the leading DevSecOps practices? Arrow

  1. Shift-left security — SAST, secrets detection, and SCA in the IDE and on every pull request.
  2. Security as code / Policy-as-code — Enforce rules with tools like OPA, Kyverno, or Checkov.
  3. Automated security gates in CI/CD that can actually block merges or deployments.
  4. SBOM generation + artifact signing (Cosign / Sigstore) for supply-chain integrity.
  5. Infrastructure-as-Code security scanning on every change.
  6. Container and runtime security (image scanning + admission controllers + runtime monitoring).
  7. Secrets management — no hardcoded credentials; short-lived tokens and external secret stores.
  8. Continuous compliance evidence collection for SOC 2 / ISO 27001.
  9. Shared responsibility culture + security training for developers.
  10. Shift-right as well — runtime protection, continuous testing, and observability of security signals.

What are the best automation tools for DevSecOps? / Top-rated automation software in DevSecOps? Arrow

Highly regarded tools in 2026 (by category):
  • SAST / Code security: Semgrep, GitHub CodeQL, Snyk Code, SonarQube
  • SCA / Dependencies: Snyk, Dependabot, Trivy, OSV-Scanner
  • Secrets detection: Gitleaks, TruffleHog, GitGuardian, GitHub Secret Scanning
  • IaC security: Checkov, tfsec, Trivy, KICS
  • Container & Kubernetes security: Trivy, Aqua Security, Prisma Cloud, Kyverno
  • CI/CD platforms with strong security: GitHub Advanced Security, GitLab Ultimate, Harness
  • Policy & admission control: Open Policy Agent (OPA), Kyverno
  • Runtime / Cloud security: Aqua, Wiz, Prisma Cloud, Falco
Most mature teams combine 4–6 of these rather than relying on a single platform.

Which DevSecOps vendors have the best practices? Arrow

Vendors frequently recognized for strong DevSecOps capabilities and practices in 2026 include:
  • Snyk — Developer-first experience and broad coverage
  • GitHub Advanced Security — Excellent if you are already on GitHub
  • GitLab — Strong all-in-one platform with built-in security
  • Aqua Security and Prisma Cloud (Palo Alto) — Deep container, Kubernetes, and cloud runtime security
  • Wiz — Fast cloud security posture and agentless approach
  • Harness — Strong automation and emerging AI-driven remediation
  • Checkov / Bridgecrew (Prisma) and Semgrep — Excellent open-source / developer-friendly options
The “best” vendor depends on your existing stack (GitHub vs GitLab vs multi-cloud) and whether you prioritize developer experience, Kubernetes depth, or cloud security posture.