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United States
Onsite
SingleStore is a cloud-native distributed SQL database built for real-time applications, analytics, and AI. Our platform brings transactions and analytics together so organizations can work with data quickly, reliably, and at scale.
Helios is SingleStore’s fully managed cloud database service. The team builds the cloud-native services that create, manage, scale, monitor, and protect customer workspaces and databases across major cloud providers.
Helios engineers work across the control plane, data plane, reliability, observability, developer tooling, and customer-facing cloud experiences. The team partners closely with Database Engine, Infrastructure, Security, Developer Experience, and Product teams to deliver a reliable experience for customers.
As a Software Engineer Intern, you will spend 12 weeks working with a small, collaborative engineering team. You will contribute to meaningful projects throughout the product lifecycle, from design and implementation through testing and production deployment.
You will work alongside experienced engineers who are invested in your growth. You will gain practical experience building cloud services, solving distributed-systems problems, and understanding how production software is developed, operated, and improved.
Develop features and services that support the lifecycle of customer workspaces and databases
Build automation for provisioning, scaling, upgrades, backups, and recovery
Improve service reliability, availability, observability, and operational efficiency
Design and implement backend services and APIs for cloud database management
Investigate and resolve performance, scalability, and correctness issues
Write production code, tests, documentation, and technical designs
Participate in code reviews, technical discussions, debugging, and team planning
Collaborate with engineers, product managers, and cross-functional partners
Depending on your team and project, you may work on areas such as control-plane services, data-plane systems, cloud infrastructure, Kubernetes, developer tooling, monitoring, or customer-facing cloud experiences.
Currently enrolled in a bachelor’s or master’s degree program in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Strong foundation in data structures, algorithms, and software design
Programming experience in Go, Java, Python, TypeScript, JavaScript, or a similar language
Understanding of operating systems, distributed systems, networking, or databases
Familiarity with Linux or Unix-based systems
Strong analytical and problem-solving skills
Ability to communicate clearly and collaborate effectively with teammates
Curiosity, ownership, and willingness to learn
Prior professional experience is not required. We welcome candidates who have developed their skills through coursework, research, projects, internships, or open-source contributions.
Coursework or project experience in distributed systems, cloud computing, databases, networking, or operating systems
Experience building backend services, APIs, automation, or developer tools
Familiarity with containers, Kubernetes, or public cloud platforms
Experience with observability, monitoring, debugging, or performance analysis
Experience contributing to production software or substantial technical projects
Interest in reliability engineering and operating services at scale
Hands-on experience building cloud software for a production database platform
Mentorship from experienced cloud and distributed-systems engineers
Exposure to cloud infrastructure, database systems, reliability, and large-scale automation
Opportunities to own meaningful work and see your contributions move toward production
Collaboration with teams across engineering and product
A supportive environment focused on technical growth and meaningful ownership