At a Glance
- Tasks: Build and maintain cutting-edge AI platform services with a focus on backend systems.
- Company: Join a fast-growing, VC-backed startup revolutionising enterprise AI.
- Benefits: Enjoy competitive pay, flexible work options, and wellness perks.
- Other info: Thriving startup culture with excellent growth opportunities and significant ownership.
- Why this job: Make a real impact in AI while collaborating with top-notch engineers.
- Qualifications: 2-4 years of backend engineering experience and strong Golang skills.
About the companythe company is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, the company takes them from concept to production on a single, unified platform.
We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters.
We’re a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we’re building the next generation of enterprise AI and we’re looking for exceptional people to help us scale.
Who You Are
You’re a solid engineer with 2-4 years of experience building backend systems and platform infrastructure. You write clean, well-abstracted code with proper design patterns and comprehensive test coverage. You’re comfortable working on both the Compute Platform (multi-cloud orchestration, resource management) and Inference Platform (model serving, autoscaling) under the guidance of senior engineers and platform leads.
You have strong proficiency in Golang and understand how to build maintainable, production-grade distributed systems. You take pride in code quality, enjoy collaborating on low-level designs, and are eager to learn from experienced engineers while contributing meaningfully to critical infrastructure components.
You’re product‑minded, you understand how your technical decisions impact developers using the company’s platform and think about the end‑to‑end user experience. You’re a team player comfortable wearing multiple hats one day you’re building product features, the next you’re joining customer calls to understand their deployment challenges, and the day after you’re helping with UI/UX, customer success, documentation and product ops.
What You’ll Do
Platform Development & Implementation
- Build and maintain platform services across the company's Compute and Inference platforms, working closely with senior engineers and platform leads
- Implement features for multi‑cloud orchestration, resource scheduling, model deployment pipelines, and autoscaling systems
- Write well‑maintained, production‑grade code with proper abstractions, design patterns, and comprehensive test coverage
- Contribute to low‑level design (LLD) including service APIs, database schema design, data models, and component interactions
- Collaborate with senior engineers on high‑level design discussions, providing implementation perspectives and feasibility inputs
Backend Systems & Distributed Infrastructure
- Develop RESTful APIs and gRPC services for platform control planes, resource management, and inference serving
- Design and implement database schemas for storing platform state, resource metadata, billing data, and observability metrics
- Work with distributed storage systems, message queues (Kafka, RabbitMQ), and databases (PostgreSQL, Redis) to build reliable platform components
- Build event‑driven architectures for asynchronous processing, job scheduling, and platform automation
- Implement monitoring, logging, and alerting for platform services to ensure production reliability
Code Quality & Engineering Excellence
- Write comprehensive unit tests, integration tests, and end‑to‑end tests to ensure code reliability
- Participate in code reviews, providing constructive feedback and learning from senior engineers’ perspectives
- Refactor existing code to improve maintainability, performance, and scalability
- Document design decisions, API specifications, and operational runbooks for platform services
Debug production issues and contribute to incident response and post‑mortems.
Requirements
Technical Skills & Experience* 2-4 years of experience in backend engineering, platform development, or distributed systems
- Strong proficiency in Golang you write idiomatic Go code with proper error handling, concurrency patterns, and testing
- Solid understanding of backend systems fundamentals: RESTful APIs, microservices architecture, and API design principles
- Hands‑on experience with databases (PostgreSQL, MySQL) including schema design, query optimization, and transactions
- Familiarity with storage systems (object storage like S3, block storage, distributed file systems) and their use cases
- Experience working with message queues (Kafka, RabbitMQ, NATS) and event‑driven architectures
- Understanding of distributed systems concepts: consensus, eventual consistency, fault tolerance, and retry mechanisms
- Experience with containerization (Docker) and basic Kubernetes concepts
- Knowledge of testing frameworks and practices (unit tests, integration tests, mocking)
- Familiarity with Git, CI/CD pipelines, and modern development workflows
- Exposure to cloud platforms (AWS/GCP/Azure) and their core services is a plus
- Experience with infrastructure‑as‑code (Terraform) or observability tools (Prometheus, Grafana) is beneficial
Bonus/ Good to Have
- HPC & Cluster Management: Experience handling large-scale HPC clusters using Kubernetes and Slurm for job scheduling, resource allocation, and workload orchestration
- Data Engineering: Expertise with data pipelines, ETL systems, and large-scale data processing frameworks
- Systems‑Level Programming: Experience with low-level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm‑d, system agents)
- ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine‑tuning workflows, and Jupyter notebook orchestration systems
- Enterprise Deployment: Experience platformizing and packaging software for on‑premises deployments or customer VPC installations with emphasis on security, compliance, and operational simplicity
Benefits
Preferred Attributes
- High ownership, self driven and biased for action.
- Strong strategic thinking and ability to connect technical decisions to business impact.
- Excellent communication and mentoring skills.
- Thrives in ambiguity, fast‑paced environments, and early‑stage startup culture.
Why Join the company?
Work directly with high‑pedigree founders shaping technical and product strategy.
- Build infrastructure powering the future of AI computers globally.
- Significant ownership and impact with equity reflective of your contributions.
- Competitive compensation, flexible work options, and wellness benefits.
Software Engineer, General employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, General
✨Join Local Tech Meetups
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We think you need these skills to ace Software Engineer, General
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
