Sr. DevOps Engineer (REMOTE)

Cyware is hiring a Senior DevOps Engineer to build, secure, and operate infrastructure for its product environments in AWS and AWS GovCloud. The role owns CI/CD, deployment, and operational reliability across commercial and government environments, including secure infrastructure for AI- and LLM-powered features.

Responsibilities:

• Work closely with development teams to integrate projects into production AWS and AWS GovCloud environments and ensure ongoing support
• Design, build, and maintain CI/CD pipelines using Bitbucket Pipelines, GitHub Actions, Jenkins, or equivalent; support Helm chart packaging and ArgoCD/GitOps deployment into Kubernetes
• Operate and harden infrastructure within compliance-heavy authorization boundaries such as FedRAMP High, GovRAMP Moderate, and IL5, maintaining continuous compliance across releases
• Own environment segmentation, secrets management, and access controls consistent with NIST 800-53 and FedRAMP control families
• Manage Kubernetes workloads, Helm chart versioning, and release promotion across development, staging, commercial, and GovCloud production environments
• Build reliable, scalable infrastructure services in AWS and support infrastructure for both cloud and on-premise deployments
• Implement infrastructure as code using Terraform, CloudFormation, or CDK for repeatable, auditable provisioning
• Support database deployment and schema migration using Postgres, Flyway, or equivalent tooling tied to release cycles
• Build monitoring, logging, alerting, and operational automation to meet government-grade availability and incident-response requirements
• Support infrastructure for AI/LLM-powered product features as Cyware expands its AI capabilities
• Use AI assistants such as Claude or Gemini, with well-crafted prompts, to speed up scripting, IaC, incident triage, log analysis, runbooks, and documentation, reviewing all output before it reaches production
• Partner with Security/GRC to make sure AI services, data flows, and third-party models meet data residency, access control, and compliance requirements
• Participate in incident response and root-cause analysis for GovCloud-hosted environments, with documentation meeting government audit standards
• Gain deep application-level knowledge of systems and contribute to their overall design; troubleshoot application, deployment, and operations issues
• Build engineering automation and productivity tools to streamline and scale production applications while minimizing manual interaction
• Collaborate with Product, Engineering, Solution Architecture, and Security/GRC to keep commercial and government environments aligned with the product roadmap without compliance drift
• Be a DevOps champion by building security, reliability, scalability, and best practices into the development lifecycle

Requirements:

• You are driven, inquisitive, proactive, and energetic
• You have a growth mindset and are committed to delivering results
• You thrive in a fast-paced, collaborative environment
• You are passionate about cloud engineering, DevOps, automation, security, reliability, scalable systems, and applying AI to build smarter, more resilient infrastructure
• US Citizenship is a requirement of this position in accordance with 8 U.S.C. 1324b(a)(2)(C)
• 5+ years of experience in DevOps/Platform/Site Reliability Engineering, with 2+ years operating workloads in AWS GovCloud
• Hands-on experience using AI assistants such as Claude or Gemini in daily engineering work, including writing clear, effective prompts to generate and review scripts, IaC, and configurations, troubleshoot issues, and produce documentation
• Ability to validate AI-generated output for accuracy, security, and compliance before it is used in production
• Strong hands-on experience with Kubernetes, Helm, and GitOps (ArgoCD or equivalent)
• Hands-on experience with AWS, Google Cloud, Azure, or equivalent cloud services
• Experience with CI/CD pipeline engineering using Bitbucket Pipelines, GitHub Actions, Jenkins, CircleCI, or equivalent
• Experience with infrastructure-as-code tools including Terraform, CloudFormation, or CDK
• Strong scripting skills in Python, Go, or Bash
• Experience with configuration-management/automation tools such as Chef, Puppet, Ansible, Rundeck, or equivalent
• Experience with queuing systems such as RabbitMQ, Kafka, SQS, or equivalent
• Experience with relational database deployment/migration tooling such as Postgres and Flyway, or equivalent
• Experience supporting continuous monitoring, POA&M remediation, assessment, and audit cycles
• Basic knowledge of networking concepts such as subnets and environment segmentation
• Experience with containers and orchestration tools such as Kubernetes
• Ability to create infrastructure services for both cloud and on-premise deployments
• Exposure to Linux, EC2 security, AWS CLI, S3, CloudWatch, CloudTrail, SSH, Docker, Git, Jenkins, CircleCI, Nagios, JMeter, and BlazeMeter
• Experience with startup environments and lean, collaborative engineering teams
• Knowledge of MongoDB, Python/Django, data structures, and algorithms is an added advantage
• AWS certifications such as Solutions Architect or DevOps Engineer Professional
• Experience with container security scanning and software supply-chain security, including SBOM and image signing
• LLM experience, such as deploying or supporting LLM-based services in production (e.g., Amazon Bedrock, SageMaker, Claude, Gemini, or OpenAI APIs), running inference workloads on Kubernetes, or building LLMOps pipelines
• Experience with vector databases or retrieval infrastructure (e.g., pgvector, OpenSearch, Pinecone) supporting RAG-based applications
• Familiarity with AI security risks such as prompt injection, model and supply-chain integrity, and securing AI agents and MCP servers that have access to infrastructure
• Familiarity with SOAR/TIP or broader cybersecurity product environments