Senior DevSecOps Engineer

Accountabilities:: Agent Sandboxing and Isolation: Implement and maintain secure, isolated execution environments for autonomous agents using Firecracker MicroVMs or restricted Kubernetes and Docker configurations. Secure Data Infrastructure: Provision, optimize, and scale a multi-layered data architecture, including PostgreSQL for transactional workloads, ChromaDB or PGVector for vector storage, and Neo4j for graph-based knowledge mapping. Event-Driven Orchestration: Build and manage high-performance event streams using AWS SQS, EventBridge, or Kafka to support agent-to-agent communication and human-in-the-loop escalation workflows. Infrastructure as Code: Automate the provisioning, configuration, and management of AWS infrastructure and Kubernetes clusters using industry-standard IaC practices. Security and Identity Management: Integrate identity providers and B2B identity solutions, including WorkOS, to support secure authentication, multi-tenancy, and strict separation of tenant data and configurations. Network Security and Egress Controls: Design and enforce egress firewalls, proxy-only outbound routing, and other safeguards to prevent autonomous agents from exposing or exfiltrating sensitive data. Secure CI/CD Pipelines: Implement automated security checks and controls throughout the software delivery lifecycle to strengthen infrastructure security and deployment reliability. Workflow Management: Support reliable execution of long-running, multi-stage agent workflows through orchestration technologies such as Temporal. Compliance and Observability: Help prepare infrastructure for security and privacy standards while improving agent workload monitoring, tracing, and operational visibility. Requirements: Cloud and Container Security: Extensive hands-on experience with AWS, Kubernetes, and container security. Practical experience with Firecracker MicroVMs is highly desirable. Database Expertise: Experience managing and scaling vector databases such as ChromaDB and PGVector, as well as graph databases used in AI applications. Security-First Mindset: Strong understanding of zero-trust architecture, OWASP principles, secure infrastructure design, and the security challenges associated with AI systems. Event-Driven Architecture: Proficiency in messaging systems, event streaming, and real-time data processing technologies such as AWS SQS, EventBridge, or Kafka. Infrastructure Automation: Advanced scripting skills in Python and Bash, alongside a proven track record of implementing infrastructure automation and security gates in CI/CD pipelines. Workflow Orchestration: Experience with Temporal or similar technologies for managing complex, long-running, multi-stage workflows. Identity and Multi-Tenancy: Familiarity with identity providers, B2B authentication, tenant isolation, and secure access management. Compliance Knowledge: Experience preparing infrastructure for SOC 2, ISO 27001, or GDPR compliance readiness is an advantage. AI Observability: Familiarity with tools such as LangSmith or Langfuse for tracing, monitoring, and observing AI agent workloads is desirable. Collaboration and Ownership: Ability to work independently on complex security challenges, collaborate effectively across engineering teams, and maintain a proactive approach to infrastructure reliability and risk reduction. Benefits: Comprehensive Healthcare: Company-paid medical insurance and programs supporting mental and physical well-being. Mental Health Support: Access to mental health programs and resources. Sick Leave: Five additional sick-leave days per year. Paid Vacation: 20 working days of paid annual vacation, in addition to local public holidays. Fully Remote Work: 100% remote working arrangements. Learning and Development: Access to internal meetups, conferences, workshops, a Udemy license, language courses, and company-paid certifications. Professional Growth: Opportunities to learn from a global community of experienced professionals and expand technical expertise. Internal Mobility: Access to an internal mobility program that supports transitions between projects to encourage career development and professional growth. International Projects: Opportunities to contribute to large-scale technology initiatives with international and fast-growing clients. Collaborative Culture: A welcoming work environment that promotes teamwork, open communication, knowledge sharing, and regular team-building activities. Long-Term Employment: The opportunity to build a lasting career while working with modern cloud, security, and AI technologies.