We are seeking a motivated and experienced DevOps Engineer who will be responsible for bridging the gap between development and operations, implementing automation, managing cloud infrastructure, and ensuring smooth deployment pipelines. This role focuses on improving development efficiency, system reliability, and maintaining scalable infrastructure.
Good communication skills, motivation and the ability to work within a diverse team dispersed across multiple time-zones are a must. You will work closely with the Science, Product and Design teams to influence the software development tools, and help drive progress towards the company’s vision of being the leading software developer tool for quantum programming.
Responsibilities
- Infrastructure Management:
- Design and maintain cloud infrastructure (AWS/GCP)
- Implement Infrastructure as Code (IaC) practices
- Manage and optimize container orchestration platforms (Kubernetes, Docker Compose)
- Configure and maintain monitoring and logging systems
- Ensure high availability and disaster recovery solutions
- CI/CD Pipeline:
- Design and implement continuous integration/continuous deployment pipelines
- Automate build, test, and deployment processes
- Maintain and improve deployment strategies
- Implement security best practices in the pipeline
- Monitor and optimize pipeline performance
- Automation:
- Develop and maintain automation scripts
- Implement configuration management tools
- Create and maintain infrastructure templates
- Automate routine operational tasks
- Design self-healing systems
- Security & Compliance
- Implement security best practices
- Manage access control and authentication systems
- Ensure compliance with security standards
- Conduct security audits
- Implement vulnerability scanning and remediation
- Monitoring & Performance:
- Set up monitoring and alerting systems
- Implement logging solutions
- Perform system performance optimization
- Conduct capacity planning
- Troubleshoot production issues
- Collaboration:
- Work closely with development teams
- Provide technical guidance and support
- Participate in on-call rotation
- Document processes and procedures
- Conduct knowledge sharing sessions
Essential Requirements
- Bachelor’s degree in software engineering, electronics engineering or related technology area
- At least 5 years relevant software engineering experience in a high performing team
- Strong, demonstrable knowledge or skills in the following:
- Cloud Platforms:
- AWS/GCP
- Infrastructure as Code (Terraform)
- Container orchestration (Kubernetes, Docker Compose)
- CI/CD Tools:
- Jenkins, BitBucket, Gitlab, GitHub Actions
- ArgoCD, FluxCD
- Source control (Git)
- Configuration Management:
- Ansible, Terraform
- Shell scripting
- Infrastructure automation
- Monitoring & Logging:
- Prometheus, Grafana, Logi, Alloy
- Application performance monitoring tools
- Knowledge of code versioning tools (Git), agile methodology, and industry standard development tools
- Strong communication skills and ability to work well in a team
- Excellent problem solving, coding, testing, and debugging skills
- Strong track record of shipping products, features and functionality on time, at extremely high quality
- Ability to quickly learn and ramp up on new technologies
- Passion for learning and driven to succeed
- Ready for a challenge
Desirable Requirements
- Masters Degree in Software Engineering or a related field
- Prior experience in a startup environment
About the Company
At Horizon Quantum Computing, we are developing tools to simplify and expedite the process of developing software for quantum computers, a fundamentally new form of computer that exploits effects from quantum physics to process information more efficiently. We are an international team headquartered in Singapore, with key markets spread out worldwide, and a growing office in Dublin, Ireland.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The industrialization of quantum computing necessitates a transition from experimental laboratory setups to stable, scalable, and deployable computational environments. The role of a Devops Engineer in this sector serves as a structural necessity to bridge the gap between abstract algorithmic development and production-grade software delivery. By implementing automated orchestration for hybrid classical-quantum workflows, this function directly impacts the value chain's ability to achieve computational reproducibility and operational reliability. Market signals indicate that as Technology Readiness Levels (TRL) advance, the systemic bottleneck is shifting from qubit counts to the efficiency of the underlying software stack and deployment infrastructure. Consequently, this role is vital for organizations seeking to transform nascent quantum capabilities into accessible, high-availability cloud resources for enterprise consumption.
The quantum ecosystem is currently navigating a pivotal maturation phase where the focus is expanding from hardware performance to system-level integration. Within the software and applications segment of the value chain, the reliance on manual configuration is being replaced by a demand for automated, resilient pipelines. This transition is complicated by the inherent noise and error rates of NISQ-era devices, which require specialized monitoring and calibration cycles that exceed the complexity of classical IT environments. As quantum hardware modalities diversify—spanning superconducting, ion-trap, and photonic systems—the industry faces a significant interoperability challenge. Unified orchestration frameworks are becoming essential to manage these heterogeneous resources, ensuring that developers can switch between backends without disrupting development cycles.
Macro-level constraints, particularly the scarcity of talent possessing dual expertise in distributed systems and quantum mechanics, are driving the adoption of cloud-native architectures. High-performance computing (HPC) integration is a dominant theme, as near-term quantum advantage is expected to manifest through hybrid workflows where specific kernels are offloaded to quantum processors. This requires a robust infrastructure that can handle asynchronous interactions and varied memory hierarchies. National quantum strategies and public funding cycles increasingly prioritize "quantum-ready" infrastructure, favoring modular toolchains that reduce vendor lock-in. For a firm like Horizon Quantum Computing, establishing these robust delivery pipelines is a critical signal of commercial maturity and technical trustworthiness in a fragmented global market.
The capability architecture for this role type centers on the orchestration of high-availability cloud platforms and the management of hybrid classical-quantum software stacks. Foundational expertise in infrastructure-as-code (IaC) and containerization is coupled with specialized knowledge of quantum intermediate representations and hardware-specific compilation chains. These interface points are critical for maintaining the structural throughput of development, as they enable the seamless transition of code from simulators to physical qubits. By standardizing deployment protocols, these experts ensure that the stability and accuracy of quantum subroutines remain consistent across diverse hardware backends. This cross-functional coupling between software engineering and hardware operations facilitates a level of operational readiness that is essential for scaling quantum adoption. Furthermore, the integration of advanced monitoring tools allows for the real-time tracking of subsystem performance metrics, which is vital for mitigating risks associated with hardware decoherence and systematic errors in NISQ systems.
Accelerates the deterministic progression of quantum software from theoretical R\&D to enterprise-grade production environments
Mitigates systemic risks associated with hardware instability through the implementation of automated monitoring and calibration cycles
Facilitates the seamless integration of quantum processing units into existing classical high-performance computing infrastructures
Reduces iteration friction for algorithm developers by providing standardized, reproducible deployment pipelines and environments
Strengthens the commercial viability of quantum platforms by ensuring high availability and reliability for external stakeholders
Harmonizes diverse hardware backends through the development of modular and interoperable software orchestration toolchains
Optimizes resource allocation across heterogeneous CPU, GPU, and QPU clusters to maximize computational efficiency
Supports the scaling of quantum cloud services by identifying and resolving bottlenecks in the software-to-hardware interface
Shortens the time-to-market for quantum-enhanced applications by automating the lifecycle of complex hybrid workflows
Improves the reliability of multi-tenant quantum platforms through the application of rigorous security and access protocols
Protects long-term research investments by establishing architectural best practices that minimize technical debt and vendor lock-in
Enables the strategic orchestration of global development efforts by providing a unified and transparent infrastructure layer
Industry Tags: Quantum DevOps, Hybrid Cloud Infrastructure, Software Orchestration, NISQ Reliability, HPC Integration, CI/CD for Quantum, Quantum Software Stack, System Deployment
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