Technatomy Corporation is dedicated to delivering innovative solutions and is seeking a Senior DevSecOps Engineer to lead secure delivery and infrastructure automation for a cloud-native AWS platform. The role involves implementing CI/CD improvements, enhancing security integration, and ensuring platform reliability for various applications.

Responsibilities:

Lead the design, implementation, and maintenance of CI/CD pipelines using Jenkins, Bitbucket, and related tools for automated build, test, security, and deployment workflows
Develop and govern Infrastructure as Code and machine-image automation using Terraform, Packer, and comparable technologies for AWS environments
Lead deployment and operational support of containerized applications using Docker, Kubernetes, and AWS-native platform services
Integrate static analysis, software composition analysis, container, Infrastructure as Code, dependency, and configuration security checks into delivery pipelines
Establish secure practices for Vault-based secrets management, IAM, encryption, access control, certificate handling, and configuration management
Design and mature observability capabilities using Prometheus, Grafana, Elasticsearch, Kibana, and AWS-native monitoring services
Automate and support Kafka/MSK infrastructure, including deployment, configuration, monitoring, operational tooling, and recovery procedures
Define logging, monitoring, alerting, and performance-management standards that improve platform reliability and operational visibility
Automate environment provisioning, release orchestration, configuration management, rollback, and recurring operational activities
Support deployment, scaling, and resilience of distributed services and real-time streaming components, including WebSocket-enabled applications
Lead troubleshooting, incident analysis, root cause review, and corrective actions for pipeline, infrastructure, security, and availability issues
Establish DevSecOps standards, reference patterns, documentation, and governance for CI/CD, Infrastructure as Code, security integration, and operational readiness
Partner with cloud engineers and developers to embed secure delivery and operational practices throughout the software development lifecycle
Mentor junior engineers, guide tooling decisions, identify delivery and availability risks, and promote continuous improvement across teams

Requirements:

6–8 years or more of experience in DevSecOps, DevOps, cloud engineering, platform engineering, or related roles
Strong hands-on experience with AWS cloud platforms, networking, IAM, security services, and enterprise deployment practices
Demonstrated experience building and maintaining CI/CD pipelines using Jenkins or comparable enterprise automation tools
Advanced experience with Infrastructure as Code using Terraform and container orchestration using Kubernetes
Experience with Docker, automated testing, artifact management, release orchestration, and production deployment strategies
Experience implementing observability solutions using Prometheus, Grafana, Elasticsearch, Kibana, CloudWatch, or similar platforms
Strong understanding of secure pipeline design, security scanning, secrets management, vulnerability remediation, least privilege, and auditability
Experience supporting distributed systems and event-driven architecture; Kafka or AWS MSK operational experience is strongly valued
Proficiency with scripting or automation using Python, Bash, PowerShell, Go, or a comparable language
Ability to lead technical initiatives, establish engineering standards, troubleshoot complex systems, communicate technical risk, and mentor team members
Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, Cybersecurity, or a related discipline, or equivalent practical experience
Must be able to obtain and maintain a Public Trust clearance
This position requires U.S. citizenship or Greencard
Experience supporting the Department of Veterans Affairs, another Federal agency, or a regulated enterprise environment
Advanced experience supporting Kafka, AWS MSK, or another event-driven messaging platform in production
Experience with Vault, Consul, Nexus, or similar enterprise platform, service-discovery, and artifact-management tooling
Experience supporting real-time streaming, WebSocket-based applications, or other high-availability distributed services
Relevant AWS, Kubernetes, HashiCorp Terraform, security, or DevOps certification is preferred, but not required

Manager AI Engineering

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