Senior, Software Engineer, Cryptographic Asset Monitoring

Salesforce; Washington; On-site; USD 150,000 - 210,000; Full time

Job summary

Salesforce is seeking a Senior Software Engineer to design, build, and operate backend systems powering critical AI-driven infrastructure at scale. You’ll own components end-to-end, mentor engineers, and push the boundaries of AI-enabled development while ensuring reliability and security.

You will design APIs, data models, and orchestration for scalable systems, participate in reviews, and contribute to on-call rotations.

Qualifications

• 6+ years of professional software development experience, owning production systems end-to-end.
• Strong proficiency in at least one backend language (Go, Java, Python, or Rust) and experience with distributed systems.
• Experience designing and operating RESTful or gRPC services, including database design and query optimization.
• Experience deploying and operating services in cloud environments (AWS, GCP, or Azure).
• Solid understanding of CI/CD pipelines, testing practices, and modern software delivery workflows.
• Ability to work independently on ambiguous problems and drive them to resolution.
• Bachelor's degree in CS/Engineering or related field, or equivalent practical experience.
• Experience using AI tools (Claude Code, GitHub Copilot, Codex, Cursor) in development workflows.

Responsibilities

• Design, build, and operate backend services and APIs with high reliability, scalability, and performance.
• Make architectural tradeoffs on evolving requirements.
• Write resilient, well-tested, observable code for production.
• Design and maintain data models and storage systems that scale with usage.
• Instrument services with logging, metrics, and tracing for rapid incident response.
• Debug production issues and implement durable fixes.
• Participate in code and design reviews and mentor engineers.
• Collaborate with cross-functional stakeholders to translate requirements into scalable solutions.
• Contribute to on-call rotations and incident response for owned systems.
• Build production-grade software with AI as a core development workflow.

Skills

Distributed systems

Backend programming

REST/gRPC

Cloud environments

CI/CD

AI-first engineering

AI tools

Education

Bachelor's degree in Computer Science or related

Tools

Claude Code

GitHub Copilot

Codex

Cursor

Job description

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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.