Support development teams in deploying and running containerized microservices on Amazon EKS, including the message queues, caches and databases they depend on
Monitor system health, performance and cost; take part in troubleshooting and incident response for production issues
Automate routine operational tasks such as scaling, patching, backups and new-region setup
Apply security best practices across cloud infrastructure, as fits a platform built to handle malicious content
Write and maintain runbooks and technical documentation
How We Work with AI
AI assistants and internal AI agents are part of our delivery flow: an agent scores the risk of every infrastructure pull request and routes it to the right approvers, and AI review runs on code changes
You will use AI to draft Terraform and Kubernetes changes, investigate alerts and logs, and write runbooks and incident notes
You stay accountable for every change: you review each plan before it is applied, and no agent approves or merges on your behalf
You will help run the AI tooling itself: CI workflows that call AI models, the API keys and access they need, and least-privilege credentials for agents
What We Need from You
A Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
Hands-on experience with AWS (EC2, S3, IAM, VPC)
Familiarity with CI/CD, ideally GitHub Actions
A good understanding of Docker and basic Kubernetes (pods, deployments, services; reading logs and events with kubectl)
Scripting skills in Bash and/or Python, plus comfort with YAML/JSON configuration
Basic Linux administration and networking knowledge (DNS, load balancing, TLS)
Regular use of AI coding assistants (such as Claude Code, GitHub Copilot or Cursor), with the habit of checking their output before trusting it
Good written English for runbooks, incident notes and tickets
A willingness to learn, take ownership and work well within a global team
It Would Be Nice If You Had
Certifications such as AWS Solutions Architect – Associate, AWS DevOps Engineer, or CKA/CKAD
Experience with Helm, Kustomize and Argo CD, or Kubernetes autoscaling (Karpenter, KEDA)
Experience operating Kafka (Amazon MSK), RabbitMQ, Redis (ElastiCache) or MongoDB/Amazon DocumentDB
Experience with observability tools such as Coralogix, OpenTelemetry, Prometheus or Grafana
Experience with cloud cost management (tagging, Savings Plans, rightsizing)
An interest in cybersecurity or secure cloud practices (secrets management with SOPS or External Secrets, least privilege, vulnerability scanning)
Knowledge of information security standards and certifications such as ISO/IEC 27001 and ISO/IEC 27017
Experience setting up or operating AI tooling: AI steps in CI pipelines, MCP servers, agent permissions, or LLM services such as Amazon Bedrock
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.