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Cortex Jobs (NOW HIRING)

Cortex North America

Account Manager

Portland, OR · On-site

Cortex is committed to providing unbiased compensation along with competitive benefits. Travel: Approximately 40-50%, primarily regional day trips and occasional overnights (2-6 nights per month ...

Socket.dev

WI · On-site

$300 - $420/hr

Within our Cortex business unit, we deliver autonomous, AI-driven Security Operations solutions (Cloud, AgentiX, XDR, XSOAR, XSIAM) that protect the world's most critical organizations. To maintain ...

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Cortex information

See salary details

$73.5K

$122K

$164K

How much do cortex jobs pay per year?

As of Sep 5, 2026, the average yearly pay for cortex in the United States is $122,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a Cortex?

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 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 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 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.

More about Cortex jobs

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What are the most commonly searched types of Cortex jobs?

The most popular types of Cortex jobs are:

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The top searched job categories for Cortex jobs are:

Cortex jobs near you
Infographic showing various Cortex job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $122,008 per year, or $58.7 per hour.

Senior / Software Engineer - Cortex Code Agentic System

Snowflake

Menlo Park, CA • On-site

$236K - $309K/yr

Full-time

Posted 25 days ago

Key responsibilities

  • Own features end-to-end for Snowflake Cortex Code products, including building agentic workflows, coding harnesses, and evaluation pipelines.

  • Build enterprise-grade context engineering components such as function calling, tool schemas, guardrails, agent teams, and verification/repair mechanisms.

  • Partner with product and infrastructure teams to translate customer problems into products and experiments, and collaborate to productionize improvements.

Job description

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.
Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology, and careers, to the next level.
About the Role
The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA.
Your work will directly impact how developers and businesses build with data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization. You'll work with a small, high-powered modeling and infrastructure team. What you will do in this role:
  • Own features end-to-end for Snowflake Cortex Code products. Build agentic workflows, coding harnesses, evaluation pipelines.
  • Build enterprise-grade context engineering: function calling, tool schemas, guardrails, agent teams, and verification/repair.
  • Partner with product and infra: translate customer problems into products and experiments. Collaborate with infrastructure teams to productionize improvements.
  • Work with an elite team of engineers towards building great products

Requirements:
  • Bachelor's degree in Computer Science, Engineering, Statistics or a related field. Master's or higher degree preferred but not a requirement.
  • 5+ years of experience shipping AI features in production.
  • Proficiency in programming languages such as Python, Typescript, Go
  • Strong communication skills and ability to collaborate effectively in a team environment.
  • (Optional) Experience working with data engineering pipelines (dbt, airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.

Nice to have
  • Deep experience with agentic coding tools (e.g. IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
  • Background in data engineering (dbt, Airflow), data modeling, analytics, retrieval / RAG, or semantic layers - highly relevant for data-centric coding agents.
  • Prior work on eval harnesses, LLM observability, or safety / guardrails in production.

You may be a particularly good fit if you
  • Have built and owned complex systems - pipelines, orchestration, or software with substantial state, branching logic, and operational requirements.
  • Thrive in high-intensity environments with short feedback loops and high standards for rigor.
  • Take problems to completion independently: you don't stop at a prototype; you care about production reliability and clear metrics.
  • Are a power user of modern coding agents and care about turning that intuition into systematic measurement and improvement.

About Snowflake
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through Cortex Code, Cortex agents, Cortex analyst, Cortex search.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Master's or higher preferred but not a requirement.
  • 5+ years of experience shipping AI/ML-backed software in production, including senior-level ownership of technical direction, cross-team delivery, and mentoring.
  • Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems-not only one-off benchmarks.
  • Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
  • Exceptional communication skills: crisp write-ups, constructive debate, and ability to influence without authority across engineering and product.
  • (Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.

Nice to have
  • Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
  • Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers-highly relevant for data-centric coding agents.
  • Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production.

You may be a particularly good fit if you
  • Have built and owned complex quality + data pipelines-substantial state, branching logic, and operational requirements.
  • Thrive in high-intensity environments with short feedback loops and high standards for rigor.
  • Take ambiguous "quality is slipping" problems to completion: you care about clear metrics, reproducibility, and sustained improvement-not one-off score bumps.
  • Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice.

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

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