Develop and maintain security-focused cloud services and infrastructure, design APIs and backend systems, integrate with embedded platforms, fix bugs, write automated tests, and apply cloud and secure software best practices to ensure scalable, reliable, and secure operation.
ZeroRISC
ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they’re built or where they’re deployed.
Role Overview
As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You’ll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You’ll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for an early-career engineer with a few years of industry experience who is interested in a high-growth environment.
Key Responsibilities:
- Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform
- Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users
- Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability
- Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work
What We’re Looking For:
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Strong understanding of computer science fundamentals, including algorithms, data structures, and system design
- 3+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus
- Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus)
- Strong understanding of distributed systems, cloud computing concepts, and RESTful API design
- Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders
Preferred Qualifications:
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Experience with containerization and orchestration tools like Docker and Kubernetes
- Knowledge of industry-standard PKI and hardware security practices
Why Join Us?
- Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments
- As a seed-stage startup, this role offers significant opportunities for learning and career growth
- Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space
Similar Jobs
Fintech • Mobile • Payments • Software • Financial Services
Build, maintain, and support Wise’s cloud platform. Design and deploy scalable, secure, compliant, and cost-effective infrastructure on AWS and other cloud providers. Develop automation and infrastructure-as-code solutions, collaborate with cross-functional teams, and improve platform availability, security, and usability. The role requires strong Golang or Python skills, cloud architecture experience, and expertise in developer operations or CI/CD, with Kubernetes, networking, observability, and regulated-industry experience beneficial.
Top Skills:
AWSCloud NetworkingCloud ObservabilityContinuous Integration/Continuous DeploymentGCPGoInfrastructure As CodeKubernetesPython
Financial Services
Leads hands-on development of secure, scalable cloud-native software, data engineering, backend systems, and AI/ML infrastructure. Designs microservices and distributed applications, builds production-scale data platforms, develops architecture artifacts, and promotes responsible AI-assisted engineering practices. Works with AWS data services, containers, Kubernetes, DevOps, and MLOps while supporting engineering standards, automation, troubleshooting, and stakeholder communication.
Top Skills:
Amazon AthenaAmazon EksAmazon S3AWSAws GlueBig DataCloud ComputingDistributed SystemsDockerInfrastructure As CodeKnowledge GraphsKubernetesLlmsMicroservicesMlopsOpensearchPythonRetrieval-Augmented Generation (Rag)Vector Databases
Financial Services
Develop and support secure, scalable software for AI/ML data platforms. Responsibilities include Python architecture and development, cloud-native and containerized application delivery, code review, testing, troubleshooting, operational stability, and automation of recurring remediation. The role also promotes validated AI-assisted engineering practices and collaborates with product managers and data strategy teams. Preferred experience includes graph databases such as AWS Neptune and generative AI engineering pipelines.
Top Skills:
Aws NeptuneCi/CdCloud-Native TechnologiesContainerizationGenerative Ai EngineeringPythonRdf
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
