Distributed Systems Software Engineer - Public Cloud (Mid/Senior/Lead/Principal)

Leadout Capital; San Francisco (CA); Sur place; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Wellbeing reimbursement

Parental leave

Adoption assistance

Fertility benefits

Résumé du poste

Leadout Capital in San Francisco seeks a Distributed Systems Software Engineer for Public Cloud at Senior/Lead/Principal levels. You will design scalable backend services with a focus on reliability, security, and performance across thousands of nodes.

You will work with Kubernetes, Terraform, and AI-powered tooling, contribute to open source like Spinnaker, and shape system context. On-call rotations and collaboration with multiple teams are expected.

Qualifications

• 3+ years backend software development experience.
• Deep knowledge of programming in Java, GoLang, Python, or Ruby.
• Experience owning and operating multiple instances of a critical service.
• A demonstrated, genuine AI-first approach to engineering.
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor).
• Advanced prompt engineering skills and the ability to write precise, structured prompts.
• Experience with Agile development methodology and Test Driven Development.
• Experience with critical infrastructure services including monitoring, alerting, logging, and reporting applications.
• Experience with distributed database systems and relational databases like Postgres is a plus.

Responsabilités

• Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on public cloud platforms (AWS, GCP, Azure, Alibaba).
• Design, develop, debug, and operate resilient distributed systems across thousands of compute nodes in multiple data centers.
• Use and contribute to open source tech (Spinnaker, Zookeeper, etc.).
• Develop Infrastructure-as-Code using Terraform.
• Write microservices on Kubernetes, Docker, Mesos.
• Build production-grade software with AI-driven tooling to deliver secure, optimized code.
• Design AI-enabled workflows that integrate into human processes.
• Contribute to the shared system context and design standards for reliable AI operation.
• Critically evaluate code for correctness, security, and performance.
• Resolve complex issues and drive innovations for availability and performance.
• Balance live-site management, feature delivery, and debt retirement; participate in on-call rotations.

Connaissances

Backend experience

Java

Go

Python

Ruby

AI-first approach

AI tools

Agile

TDD

Monitoring

Formation

Related technical degree

Outils

Kubernetes

Docker

Terraform

Spinnaker

Zookeeper

OpenAI API

Cursor

Windsurf

Claude

GitHub Copilot

Codex

Description du poste

Distributed Systems Software Engineer - Public Cloud (Senior/Lead/Principal)

Note: By applying to the Public Cloud - Distributed Systems Software Engineer posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.

Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship.

You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems. This role also requires Advanced prompt engineering skills — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Your Impact:

• Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
• Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers
• Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)
• Developing Infrastructure-as-Code using Terraform
• Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools (Cursor, Windsurf, Claude, OpenAI API) to deliver secure, optimized, and high-quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
• Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance
• Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt
• Participate in the team’s on‑call rotation to address complex problems in real‑time and keep services operational and highly available

Required Skills:

• A related technical degree required
• 3+ years backend software development experience
• Deep knowledge of programming in Java, GoLang, Python, or Ruby
• Experience owning and operating multiple instances of a critical service
• A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
• Experience with Agile development methodology and Test Driven Development
• Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications
• Experience with distributed database system and relational databases like postgres is a plus.

Benefits & Perks

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

Salesforce Information

Check out our Salesforce Engineering Site.