Posted on: 30/04/2026
Job Description :
Job Summary :
We are seeking an experienced Offshore AgentOps & DevSecOps Engineer to design, secure, deploy, and operate AI agents and cloud-native applications at scale. This role blends Agent Operations (LLM/AI Agents) with DevSecOps best practices, ensuring secure, reliable, and compliant delivery across environments.
Key Responsibilities :
AgentOps (AI / LLM Operations) :
- Deploy, monitor, and maintain AI agents, LLM pipelines, and agentic workflows in production.
- Implement versioning, observability, logging, and performance monitoring for AI agents.
- Manage prompt lifecycle, model evaluation, fallback mechanisms, and agent governance.
- Ensure scalability, reliability, and cost optimization of agent-based systems.
- Integrate agents with enterprise systems, APIs, and data sources securely.
DevSecOps :
- Design and implement secure CI/CD pipelines with embedded security checks.
- Automate infrastructure provisioning using IaC (Terraform, CloudFormation).
- Implement SAST, DAST, SCA, secrets management, and container security.
- Ensure compliance with organizational and regulatory security standards.
- Perform vulnerability assessments, remediation, and security hardening.
Cloud & Platform Engineering :
- Manage workloads across AWS / Azure / GCP environments.
- Deploy and manage Docker, Kubernetes, and service meshes.
- Implement monitoring using tools like Prometheus, Grafana, ELK, Datadog.
- Optimize system reliability through HA, DR, and resiliency best practices.
Collaboration & Operations :
- Work closely with AI engineers, product teams, and security teams.
- Provide operational support, incident response, and root-cause analysis.
- Lead offshore execution and ensure high-quality, on-time deliverables.
- Document processes, runbooks, and architectural designs.
Required Skills & Qualifications :
Technical Skills :
- Strong hands-on experience in DevSecOps practices and tools.
- Experience with AI/LLM platforms (OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, etc.).
- Proficiency in Python, Bash, or Golang.
- Expertise in CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).
- Strong knowledge of cloud security, IAM, and zero-trust principles.
- Experience with containers & orchestration (Docker, Kubernetes).
- Knowledge of API security, OAuth, secrets management (Vault, KMS)
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Posted by
Posted in
DevOps / SRE
Functional Area
ML / DL Engineering
Job Code
1632440