Senior, Software Engineer, Cryptographic Asset Monitoring

Leadout Capital; San Francisco (CA); Presencial; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Leadout Capital is seeking a Senior Software Engineer to design, build, and operate backend systems powering critical infrastructure at scale in San Francisco. You will own end-to-end components, mentor engineers, and drive AI-centered development across the stack.

You will work with Go/Java/Python/Rust, design REST/gRPC services, deploy to cloud platforms, and champion CI/CD, testing, observability, and security.

Formación

• 6+ years of professional software development experience.
• Strong proficiency in at least one backend language (Go/Java/Python/Rust) and distributed systems experience.
• Experience designing and operating RESTful or gRPC services, including DB design and query optimization.
• Experience deploying and operating services in cloud environments (AWS, GCP, Azure).
• Strong CI/CD, testing practices, and modern software delivery workflows.

Responsabilidades

• Design, build, and operate backend services and APIs with reliability, scalability, and performance.
• Make sound architectural tradeoffs on evolving requirements.
• Write resilient, well-tested, and observable code for production.
• Design and maintain data models, storage systems, and integrations at scale.
• Instrument services with logging, metrics, and tracing for monitoring and incident response.

Conocimientos

Go/Java/Python/Rust

Distributed systems

REST/ gRPC

Cloud deployments

CI/CD

Communication

Problem solving

AI-first engineering

AI tools

Prompt engineering

System design

Educación

Bachelor's degree in CS/Engineering

Equivalent practical experience

Herramientas

Claude Code

GitHub Copilot

Codex

Cursor

Kubernetes

Descripción del empleo

The Experience

We are looking for a Senior Software Engineer to design, build, and operate backend systems that power critical infrastructure at scale. You work on distributed, high-availability services, own significant components end-to-end, and help shape how the team builds reliable software. You stay deep in the code while mentoring other engineers, treating AI as a core part of your everyday development workflow, and contributing to technical decisions that shape the direction of the systems you own.

What You'll Actually Be Doing

• Design, build, and operate backend services and Application Programming Interfaces (APIs) that meet high standards for reliability, scalability, and performance.
• Make sound architectural and technical tradeoffs on ambiguous, evolving requirements.
• Write resilient, well-tested, and observable code that can be operated confidently in production.
• Design and maintain data models, storage systems, and integrations that scale with growing usage.
• Instrument services with logging, metrics, and tracing to support monitoring and fast incident response.
• Debug and resolve complex production issues, identifying root causes and implementing durable fixes.
• Participate in code reviews and design reviews, mentoring other engineers and raising the bar for engineering quality.
• Partner with cross-functional stakeholders to translate requirements into scalable technical solutions.
• Contribute to on-call rotations and incident response for the systems you own.
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow, pushing the boundaries of AI development tools 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 shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably, and critically evaluate code, whether human- or AI-generated, for correctness, quality, security, and performance.

You're Our Person If...

• You have 6+ years of professional software development experience, with a track record of owning production systems end-to-end.
• You have strong proficiency in at least one backend programming language, such as Go, Java, Python, or Rust, and experience with distributed systems.
• You have experience designing and operating Representational State Transfer (RESTful) or gRPC services, including database design and query optimization.
• You have experience deploying and operating services in cloud environments, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
• You have a strong understanding of Continuous Integration/Continuous Delivery (CI/CD) pipelines, testing practices, and modern software delivery workflows.
• You demonstrate an ability to work independently on ambiguous problems and drive them to resolution.
• You have strong written and verbal communication skills.
• You have a bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• You bring 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.
• You have experience using AI tools, such as Claude Code, GitHub Copilot, Codex, or Cursor, in development workflows.
• You have 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.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Even Better If...

• You have experience with container orchestration, such as Kubernetes, and Infrastructure-as-Code paradigms.
• You have experience with observability tooling, including distributed tracing, metrics, and alerting, at scale.
• You have experience working in a regulated, multi-region, or high-compliance environment.
• You are familiar with asynchronous processing, message queues, or event-driven architectures.
• You have deep domain knowledge of Public Key Infrastructure (PKI), X.509 certificate profiles, and mutual Transport Layer Security (mTLS) architectures.
• You have a strong understanding of certificate lifecycle management and automated certificate provisioning.
• You are aware of post-quantum cryptography (PQC) standards, such as Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM), and crypto-agility design principles.