MIT- Software Engineer Intern | Helios

SingleStore - United States - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Not stated
Salary
Not stated
Categories
Helios Dev
Tech
kubernetesgojavajavascriptpythontypescriptsoftwareintern
Source
singlestore
First observed
2026-09-21 17:53 UTC
Last seen
2026-09-21 17:53 UTC
Source claims posted
2026-09-21 17:13 UTC
Consecutive misses
0 of 3

What the posting says

Software Engineer Intern — Helios

About SingleStore

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.

About Helios

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.

About the Internship

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.

What You’ll Do

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.

Required Qualifications

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.

Preferred Qualifications

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

What You’ll Gain

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

Quality

Completeness: 45%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #901075 2026-09-21 17:53 UTC
    Published