Software Engineer - Database

United States Digital Space LLC; United States; Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Dedicated in-office boost days

Modern remote facilities

Job summary

United States Digital Space LLC is seeking a Software Engineer with a focus on database reliability to balance software engineering with reliability work. You’ll build internal tooling to streamline fleet management and keep the database platform healthy and performant, while collaborating across teams to scale backend systems and integrate AI-driven workflows.

The role emphasizes improving observability and proactively addressing production issues to deliver a fast, reliable experience for

Qualifications

• Experience across .NET, C#, and AWS environments.
• Knowledge of backend software engineering with a language-agnostic mindset.
• Experience building scalable backend tools and automating processes.
• Strong grasp of system observability and performance tuning.
• Collaborative mindset with mentoring peers.

Responsibilities

• Split time roughly 50% software engineering and 50% database reliability.
• Build internal tooling to improve fleet management and database platform efficiency.
• Keep the platform healthy, resilient, and performant; monitor performance and observability.
• Investigate production issues before they affect users.
• Collaborate with engineering teams to scale backend systems and adopt AI-driven workflows.

Skills

.NET/C#

AWS

Backend tooling

Observability

Mentoring

Job description

The role / impact

Join the company's Database Reliability Team as a Software Engineer with a focus on database reliability. In this role, your time will be split roughly 50% on software engineering and 50% on database reliability, building internal tooling that improves fleet management and makes managing the company's database platform more efficient.

You will keep the platform healthy, resilient, and performant by monitoring performance, improving observability, and investigating production issues before they affect users. Your work will strengthen the underlying platform supporting engineering teams across the company, directly shaping a fast, reliable experience for millions of global customers.

The team / how they connect

You will join a fun, collaborative team that owns the database platform powering the company's core products. The team shares knowledge, solves complex technical challenges together, and works alongside engineering teams across the company to ensure backend systems scale smoothly as demand grows. Together, they focus on continuously improving platform reliability and integrating modern engineering practices, including AI-driven workflows.

The team is currently working on

• Evolution of the database platform, migrating from self-managed SQL Server to Amazon RDS and transitioning towards PostgreSQL.
• Internal tooling enhancements to streamline fleet management, automate processes, and boost developer efficiency.
• Platform observability and performance engineering to identify bottlenecks, support load balancing, and improve resilience.
• Integration of AI tools into daily workflows to enhance engineering quality and productivity.

Where and how you can work

At the company, we offer flexible working arrangements tailored to support productivity and connection. You can work using a hybrid setup with dedicated boost days in the office to collaborate in person with your team, supported by modern remote working facilities.

Here are some of the things we're looking for

• Experience across .NET, C#, and AWS environments, or strong proficiency in backend software engineering with a language-agnostic mindset.
• Practical knowledge of database platforms like SQL Server, Amazon RDS, or PostgreSQL, paired with a drive to expand into platform engineering.
• Expertise in building scalable backend tools, writing clean code, and automating manual processes.
• A strong grasp of system observability, database performance tuning, and responding to production issues.
• Capability to design resilient software solutions while leveraging modern development tools, including AI tools, to optimise workflows.
• A collaborative mindset with a passion for continuous learning, sharing knowledge, and mentoring peers.