Role Description We are looking for a Cloud Engineer to design, build, and maintain our cloud environments. You will work with engineering teams to ensure our infrastructure is secure, scalable, and cost-efficient. Key Responsibilities - Design and implement cloud architecture on AWS, Azure, or GCP. - Manage infrastructure as code using Terraform or CloudFormation. - Implement cost optimisation strategies. - Ensure compliance with security and governance standards. - Support engineering teams with cloud-native services and tooling. Qualifications - 3+ years of cloud engineering experience. - Deep expertise in at least one major cloud provider. - Strong understanding of networking, IAM, and security. - Experience with containerisation (Docker, Kubernetes). - Cloud certification (AWS Solutions Architect, GCP Professional, or similar) preferred.

Signaloid provides computing platforms for dramatically reducing the runtime and compute infrastructure requirements of many critical workloads in the finance, robotics, and manufacturing sectors. Organizations can run their applications over our computing platforms and in the process replace time-consuming Monte Carlo methods with deterministic computations on probability distributions that produce the same output probability distribution information. With a range of different deployment methods including a cloud compute platform, optional on-premises deployment, and edge hardware, our UxHw® technology is designed for easy adoption and integration into an organization's information technology infrastructure. Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARM, Bell Labs, CMU, University of Cambridge, IBM Research, MIT, NEC Labs, and University of Oxford. Find out more and try out Signaloid's computing platform by signing up for free for our Cloud Developer Platform at https://get.signaloid.io/. Role Description Within the first year in this role, you will: - Lead the implementation of extensions to the Signaloid Cloud Compute Engine backend. - Be responsible for extending the testing and QA infrastructure of the Signaloid Cloud Compute Engine backend. - Be responsible for taking the initiative to identify whether the quality level of your implementation meets both explicit and implicit design and quality objectives of the team. - Be responsible for delivering new functionality and tests on a regular release schedule and to work with other parts of the engineering and commercial teams. - Design, implement, and document improvements to the Signaloid Cloud Compute Engine API. - Contribute to improving operational procedures in the engineering team. After a year in this role, you can expect to: - Contribute to and lead the definition of the direction of the evolution of key parts of the Signaloid Cloud Compute Engine, either as an individual contributor or as a team lead. - Gain increased autonomy and responsibility for strategy within the engineering team. - Have the opportunity, based on your demonstrated performance, to take on new challenges within Signaloid.

Signaloid provides computing platforms for dramatically reducing the runtime and compute infrastructure requirements of many critical workloads in the finance, robotics, and manufacturing sectors. Organizations can run their applications over our computing platforms and in the process replace time-consuming Monte Carlo methods with deterministic computations on probability distributions that produce the same output probability distribution information. With a range of different deployment methods including a cloud compute platform, optional on-premises deployment, and edge hardware, our UxHw® technology is designed for easy adoption and integration into an organization's information technology infrastructure. Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARM, Bell Labs, CMU, University of Cambridge, IBM Research, MIT, NEC Labs, and University of Oxford. Find out more and try out Signaloid's computing platform by signing up for free for our Cloud Developer Platform at https://get.signaloid.io/. Role Description Within the first year in this role, you will: - Lead the implementation of extensions to the Signaloid Cloud Compute Engine backend. - Be responsible for extending the testing and QA infrastructure of the Signaloid Cloud Compute Engine backend. - Be responsible for taking the initiative to identify whether the quality level of your implementation meets both explicit and implicit design and quality objectives of the team. - Be responsible for delivering new functionality and tests on a regular release schedule and to work with other parts of the engineering and commercial teams. - Design, implement, and document improvements to the Signaloid Cloud Compute Engine API. - Contribute to improving operational procedures in the engineering team. After a year in this role, you can expect to: - Contribute to and lead the definition of the direction of the evolution of key parts of the Signaloid Cloud Compute Engine, either as an individual contributor or as a team lead. - Gain increased autonomy and responsibility for strategy within the engineering team. - Have the opportunity, based on your demonstrated performance, to take on new challenges within Signaloid.

Signaloid provides computing platforms for dramatically reducing the runtime and compute infrastructure requirements of many critical workloads in the finance, robotics, and manufacturing sectors. Organizations can run their applications over our computing platforms and in the process replace time-consuming Monte Carlo methods with deterministic computations on probability distributions that produce the same output probability distribution information. With a range of different deployment methods including a cloud compute platform, optional on-premises deployment, and edge hardware, our UxHw® technology is designed for easy adoption and integration into an organization's information technology infrastructure. Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARM, Bell Labs, CMU, University of Cambridge, IBM Research, MIT, NEC Labs, and University of Oxford. Find out more and try out Signaloid's computing platform by signing up for free for our Cloud Developer Platform at https://get.signaloid.io/. Role Description Within the first year in this role, you will: - Lead the implementation of extensions to the Signaloid Cloud Compute Engine backend. - Be responsible for extending the testing and QA infrastructure of the Signaloid Cloud Compute Engine backend. - Be responsible for taking the initiative to identify whether the quality level of your implementation meets both explicit and implicit design and quality objectives of the team. - Be responsible for delivering new functionality and tests on a regular release schedule and to work with other parts of the engineering and commercial teams. - Design, implement, and document improvements to the Signaloid Cloud Compute Engine API. - Contribute to improving operational procedures in the engineering team. After a year in this role, you can expect to: - Contribute to and lead the definition of the direction of the evolution of key parts of the Signaloid Cloud Compute Engine, either as an individual contributor or as a team lead. - Gain increased autonomy and responsibility for strategy within the engineering team. - Have the opportunity, based on your demonstrated performance, to take on new challenges within Signaloid.