Senior Software Engineer, Cryptographic Asset Monitoring

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WASan Francisco, CA
Employment
Full-time
Posted
68 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $184k
$130k $237k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $154,353–$213,125.

Based on 240 similar postings.

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About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Cryptographic Asset Monitoring

The Senior, Software Engineer, Cryptographic Asset Monitoring joins the engineering team to design, build, and operate backend systems powering critical infrastructure at scale. You will develop distributed, high-availability services and APIs, owning components end-to-end while mentoring other engineers. Daily responsibilities include writing resilient code, designing data models, and instrumenting services with logging and tracing. You will utilize Go, Java, Python, or Rust within cloud environments like AWS, GCP, or Azure, while leveraging AI tools such as Claude Code and GitHub Copilot. The role requires expertise in RESTful or gRPC services, CI/CD pipelines, and Kubernetes. You will solve complex problems involving Public Key Infrastructure, X.509 certificate profiles, mTLS architectures, and post-quantum cryptography standards to ensure secure, scalable, and reliable system performance.

What does a Software Engineer earn in Washington?

Median $202800 from 409 postings across 38 companies.

See salary data

What you'll do

  • Design, build, and operate scalable backend services and APIs that meet high standards for reliability and performance.
  • Write resilient, well-tested, and observable code for production environments.
  • Design and maintain data models, storage systems, and integrations to support growing usage.
  • Instrument services with logging, metrics, and tracing to support monitoring and fast incident response.
  • Debug and resolve complex production issues by identifying root causes and implementing durable fixes.
  • Participate in code reviews and design reviews while mentoring other engineers on engineering quality.
  • Translate requirements from cross-functional stakeholders into scalable technical solutions.
  • Build and maintain shared system context to enable AI agents to operate accurately and reliably.

What we're looking for

  • You must have 6+ years of professional software development experience owning production systems end-to-end.
  • You must have strong proficiency in at least one backend language such as Go, Java, Python, or Rust.
  • You must have experience with distributed systems, RESTful or gRPC services, and database design.
  • You must have experience deploying and operating services in cloud environments like AWS, GCP, or Azure.
  • You must have a strong understanding of CI/CD pipelines, testing practices, and modern software delivery workflows.
  • You must have a bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • You must demonstrate a genuine AI-first approach, including experience with tools like GitHub Copilot and advanced prompt engineering.
  • You should have experience with Kubernetes, Infrastructure-as-Code, and observability tooling (preferred).

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