Senior DevOps Engineer
We are looking for a talented DevOps Engineer to join our US team and help power the next generation of enterprise AI.
As our company delivers full-stack AI applications to some of the world’s leading financial institutions, your work will be critical in ensuring these solutions run flawlessly in the most demanding environments.
In this role, you’ll provide technical leadership and hands-on expertise to keep our infrastructure secure, reliable, and high-performing. You’ll be responsible for optimizing deployments, identifying improvements, creating and executing upgrade strategies. Proven ability to deliver solutions that meet enterprise-grade requirements will be essential.
You’ll collaborate closely with our engineering, product, and customer teams to streamline continuous delivery of software and AI applications. As we scale deployments across Google Cloud Platform, Microsoft Azure, Amazon Web Services, and on-premises environments, you’ll play a central role in maintaining, optimizing, and supporting the systems that make it all possible.
This is an opportunity to work at the forefront of AI adoption in financial services, solving complex challenges and shaping the infrastructure behind innovative enterprise solutions.
Responsibilities:
- Implement and manage DevOps tools, processes, and infrastructure.
- Collaborate with development and operations teams to design and implement continuous integration and deployment pipelines,
- Interact and collaborate with clients, to provide technical support and guidance to ensure their satisfaction
- Automate infrastructure provisioning, configuration, and monitoring.
- Ensure high availability and performance of our software systems.
- Identify bottlenecks and implement solutions to improve system performance.
- Monitor and troubleshoot production issues and provide timely resolution
- Maintain and enhance system security and data protection measures.
- Stay up to date with industry best practices and emerging technologies for DevOps.
Requirements
What You Have
- At least 6 years of experience as Senior DevOps Engineer or a similar role
- Excellent knowledge of Cloud Services (GCP/Azure/AWS)
- Experience deploying to on-prem hardware.
- Experience with containerization technologies such as Docker and Kubernetes.
- Experience with version control systems such as Git.
- Strong skills in defining and implementing network architecture, IAM policies, HA setups and backups.
- Expertise with Kubernetes and in any Continuous Delivery platform
- Proficiency in Linux and Bash
- Strong experience in setup and management of cloud architectures through Infrastructure As Code (Terraform)
- Experience with Postgres DB and monitoring systems (Datadog, Elastic Cloud, Dynatrace)
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to multitask and prioritize tasks in a fast-paced environment.
- Fluency in English
What Would Be Nice To Have
- Good knowledge of programming languages as Java, Python, Javascript
- GCP/Azure/AWS Certifications
- Previous experience in financial services sector
Who You Are
- Passionate about the digital world
- Problem solver
- Collaborative mindset
- Versatile with new domains and latest technology buzzword
Benefits
Perks
Domyn offers a competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience. All roles include comprehensive benefits as part of the total compensation package.
About Domyn
Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world’s largest supercomputers.
At the core of Domyn’s product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack — from hardware to application — ensuring isolation, security, and governance throughout the AI lifecycle.
Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business’s specific language, logic, and context. Provided under an open-enterprise license, these models can be fully transferred and owned by clients.
Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. All solutions are managed via a unified platform with native tools for access management, traceability, and security.
Powering it all, Colosseum — a supercomputer in development using NVIDIA Grace Blackwell Superchips — will train next-gen models exceeding 1T parameters.
Domyn partners with Microsoft, NVIDIA, and G42. Clients include Allianz, Intesa Sanpaolo, and Fincantieri.
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