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Cortex Jobs in California (NOW HIRING)

Our primary development environment is CoCo (Cortex Code), Snowflake's AI coding assistant, and SnowWork , the AI IDE we ship work in. Every deliverable on this team is built AI-first: you design the ...

Bonus points for the following: * · Experience with ARM Corstone reference designs and Cortex-M or Cortex-A processor integration. · Familiarity with TrustedFirmware-M, MCUboot, or PSA-certified ...

Familiarity with Cortex-A and Cortex-M class processors, NPU processors, and DSP processors. Familiarity with FPGA emulation platforms for pre-silicon validation. Knowledge of 3GPP network protocols ...

Experience with ARM Corstone reference designs and Cortex-M or Cortex-A processor integration. • Familiarity with TrustedFirmware-M, MCUboot, or PSA-certified security architectures. • Knowledge ...

Cortex XSOAR Engineer (PCSAE) * Cortex XSIAM Engineer Specialist Key Skills * Excellent written and verbal communication skills * Ability to clearly explain complex security concepts to both ...

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Cortex information

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What are Cortex jobs?

Cortex jobs typically refer to roles related to the development, management, or support of Cortex platforms or technologies. In the context of IT and software, 'Cortex' can be a microservices management platform or a cloud-based solution for managing software reliability and engineering workflows. People in Cortex jobs may work as software engineers, platform specialists, or solutions architects, focusing on building tools that help teams track software quality, manage service catalogs, and streamline operations. The specific responsibilities can vary depending on the company and the type of Cortex platform being used.

What are the key skills and qualifications needed to thrive as a Cortex Engineer, and why are they important?

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

What is a Cortex job?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

What are the most commonly searched types of Cortex jobs in California? The most popular types of Cortex jobs in California are:
What are popular job titles related to Cortex jobs in California? For Cortex jobs in California, the most frequently searched job titles are:
What job categories do people searching Cortex jobs in California look for? The top searched job categories for Cortex jobs in California are:
What cities in California are hiring for Cortex jobs? Cities in California with the most Cortex job openings:
Senior Software Engineer - Billing Platform

Senior Software Engineer - Billing Platform

Streamlit

Menlo Park, CA

$144K - $190K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Senior Software Engineer On Billing Platform

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

The Billing & Payments Platform team builds Snowflake's central data repository and infrastructure for customer resource consumption, revenue processing, invoicing, and reporting. Our systems power Snowflake's business and enable every other engineering team — and the architectures we ship double as reference patterns for our customers building on Snowflake.

Computing Snowflake's bills, at its core, is a challenging distributed systems problem: real-time usage metering across every cloud and region, and supporting an ever-evolving catalog of pricing models — including the new commercial constructs we are inventing for Cortex AI, Snowflake Intelligence, and the broader agentic AI portfolio. Our applications must meet strict requirements for accuracy, auditability, and low-latency processing.

This is a deeply cross-functional role. You will partner daily with Product, Finance, Legal, Growth, Go-to-Market Systems, Snowsight UI, Cortex AI, and product engineering teams across Snowflake to deliver experiences that customers and internal stakeholders depend on every day.

What You'll Do
  • Own medium-sized projects end-to-end — from design through launch and operation — and contribute as a key engineer on large, multi-team initiatives.

  • Build federated, distributed billing systems that meter, rate, and invoice usage across every Snowflake service, all on Snowflake's own product.

  • Shape billing strategy for AI products in partnership with Cortex AI, Intelligence, and Apps — including token-based inference, agent workflows, and AI-native subscriptions.

  • Use AI as a first-class collaborator in development, code review, debugging, and on-call triage via Cortex Code CLI and Snowflake Intelligence.

  • Own reliability and correctness — participate in on-call, debug across unfamiliar areas, and drive systemic fixes to monitoring, alerts, and quality.

  • Be the go-to expert for one or more billing components (metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting) and mentor other engineers.

  • Partner cross-functionally with Product, Finance, GTM Systems, Growth, Trust, and Legal to translate business intent into reliable, auditable systems.

What We Look For
  • 5+ years of professional software engineering experience building and supporting large-scale, production distributed systems.

  • Bachelor's or Master's degree in Computer Science, a related technical field, or equivalent practical experience.

  • Strong fundamentals in distributed systems: consistency, fault tolerance, idempotency, exactly-once processing, queueing, and stream/batch data pipelines.

  • Strong fundamentals in databases and data modeling — SQL fluency, schema design, performance tuning, and an appreciation for the operational realities of large-scale data systems.

  • Proficiency in one or more of Java, Scala, Python, or Go, and the engineering practices that make systems easy to operate at scale (testing, observability, CI/CD, incremental rollout).

  • Demonstrated ability to independently design, spec, schedule, and deliver medium-sized projects with quality, and to contribute as a strong individual contributor on larger, multi-team efforts.

  • A track record of owning reliability for what you build — participating in on-call, debugging production issues across unfamiliar areas, and driving systemic fixes rather than one-off patches.

  • Excellent communication skills and a collaborative working style. You are comfortable operating across engineering disciplines and partnering with non-engineering stakeholders in Finance, Product, GTM, and Legal.

  • Curiosity about and hands-on experience with AI as a builder's tool, and interest in shaping the commercial models that bring AI products to market.

Bonus Points For
  • Prior experience in billing, payments, metering, revenue, or financial systems at a SaaS or cloud company.

  • Experience with fraud detection, abuse mitigation, or trust/safety systems in a usage-based product.

  • Experience designing or evolving pricing models for AI/ML products (inference, fine-tuning, agentic workloads).

  • Experience building on Snowflake or comparable cloud data platforms (Snowpark, Streams/Tasks, Iceberg, Streamlit, Cortex).

  • Contributions to internal AI developer-productivity tooling, agentic skills, or Cortex Code workflows.

Why This Role
  • Build on Snowflake, with Snowflake. You will use Snowflake's own product — including Cortex AI — as the substrate for one of the most business-critical systems in the company.

  • Front-row seat to AI commercialization. Billing is where AI strategy becomes real for customers. You will help define how Snowflake meters, prices, and bills for the AI products shaping the next decade.

  • Real cross-functional scope. Few engineering roles touch as many parts of the company. Your work will be visible to Finance, GTM, Product, and the engineering teams shipping every Snowflake service.

  • Distributed systems at meaningful scale. Accurate, low-latency rating across every cloud, region, and service — with strict correctness and auditability requirements — is genuinely hard, genuinely interesting work.

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

  • The estimated base salary range for this role is $200,000 - $287,500.
  • Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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