Job Description, Responsibilities & Requirements
About the Position
Your vision. Our solutions.
We are seeking 2 strong DevOps Engineers to build a repeatable deployment framework for enterprise AI and data applications. These engineers will take existing internally built apps and make them portable, secure, scalable, and deployable within client-owned environments. This is not just traditional infrastructure support - they will define the deployment architecture, production hardening standards, CI/CD model, observability patterns, and environment templates required to move AI/data-heavy applications from internal use into client production environments.
Responsibilities
- Design and implement a repeatable deployment framework for AI- and data-centric applications
- Build infrastructure-as-code, environment provisioning templates, and deployment automation
- Create CI/CD pipelines for dev, test, staging, and production releases
- Standardize application packaging so apps can be deployed into client environments with minimal rework
- Define patterns for secrets/configuration management, identity and access integration, networking and secure connectivity, observability/logging/monitoring/alerting, and rollback/release promotion
- Harden applications for production by improving resiliency, runtime controls, and operational readiness
- Partner with AI/fullstack engineers to ensure apps meet enterprise standards for performance, supportability, and maintainability
- Define a deployment model reusable across multiple apps rather than one-off approaches
- Produce runbooks, deployment guides, and operational documentation
- Support portability across client technology stacks and cloud environments
Requirements
- Strong experience in DevOps, platform engineering, or site reliability engineering
- Proven experience deploying enterprise web applications, data products, or AI-enabled applications
- Deep hands-on expertise with CI/CD pipelines, infrastructure as code, containerization/runtime packaging, secrets/configuration management, logging/monitoring/observability, and secure deployment practices
- Experience productionizing solutions that began as prototypes, analytics tools, or internal-facing apps
- Strong understanding of scalability, reliability, supportability, and security
- Experience moving applications from development into enterprise production alongside software engineers
- Strong communication skills and a collaborative, cross-functional build style
Nice to Have
- Experience with Azure-first environments
- Familiarity with analytics and AI deployment patterns (services, APIs, data platforms, model-enabled apps)
- Experience hardening enterprise applications for client deployment
- Familiarity with deployments across varying client environments and technology stacks
- Exposure to data-heavy and AI-heavy products where performance and portability are critical
Start date
ASAP
Duration
3+ months with possible extension
Remote vs Onsite
Fully remote, with possible occasional in-person team sessions/workshops/gatherings (i.e., 1x quarter) likely to take place in Prague
US Hours overlap needed
Minimum 2-6pm CET, preferred 2-7pm CET
We Expect You to Have
- CI/CD pipelines
- Infrastructure as code
- Containerization/runtime packaging
- Secrets/configuration management
- Logging/monitoring/observability
- Secure deployment practices
What great looks like
A reusable deployment framework exists that supports current and future apps; internal apps deploy to client environments without being rebuilt; security, observability, release management, and production controls are standardized; and the team moves faster because deployment is no longer reinvented per use case.
About the Company
The Workly s.r.o.
4D CENTER, Kodaňská 1441/46,
101 00, Praha 10.
Contact: [email protected] + 420 775 371 991
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