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Job Summary

We build and design the tools of tomorrow to stop bad actors from harming our customers and our company. Our mission is to build, maintain, and advance the next generation capabilities that power Comcast’s global cybersecurity operations.
This team owns the Premonition platform, which manages, deploys, and composes agentic pipelines at scale—combining large language models, high-performance data systems, and modern cloud infrastructure to give our security teams a decisive edge.

We work with technologies like Python, SQL, Rust, JavaScript, LLMs (via Ollama, Bedrock, SageMaker), AWS, EKS, open table formats (Iceberg, Delta, Hudi), and embedded engines such as DuckDB and LanceDB.

Our culture is supportive, caring, competitive, high ownership, and deeply technical: we help each other grow, we care about people as much as outcomes, and we push ourselves to solve hard problems at scale. If you want to apply advanced LLMs and high-performance data engineering to real-world cybersecurity threats affecting millions of customers, this is the place to do it.

Job Description

As an Engineer 3, Cyber Security Engineer on the Cybersecurity AI & Data Platforms team, you will develop and maintain Premonition, Comcast’s internal platform for managing, deploying, and composing agentic pipelines that power global cybersecurity operations.

You will split your time between:

building a robust, scalable platform for LLM and agent driven workflows, and
optimizing the high-performance data layer supporting those workflows, including storage formats, compression, latency, and query performance across large datasets.

This role sits at the intersection of applied AI and big data engineering. You will work with large language models, orchestration frameworks, and cyber focused agentic pipelines, while also owning the data and infrastructure foundations that make those systems fast, reliable, and cost-effective at Comcast scale. You’ll partner closely with security operations, incident response, and threat hunting teams to translate real-world workflows into secure, composable, and observable agentic systems.

Key Responsibilities

Design, build, and maintain the Premonition platform for managing, deploying, and monitoring agentic pipelines.
Develop composable building blocks—agents, tools, pipelines, evaluators, and configuration—to enable rapid workflow assembly and iteration.
Implement robust APIs, orchestration, and infrastructure integrations on AWS and EKS for reliable LLM and agent driven workloads.
Engineer and optimize the high performance data layer, including Iceberg/Delta/Hudi, compression, indexing, latency, and largescale query performance.
Work with embedded engines such as DuckDB and LanceDB to enable interactive, low latency analytics.
Collaborate with cybersecurity stakeholders (SOC, IR, threat hunters, engineers) to translate workflows into secure, automated, observable pipelines.
Experiment with and productionize LLM and agent patterns (RAG, tool use, multistep agentic workflows), including evaluation, safety, and guardrails.
Own the full lifecycle of Premonition services: design, implementation, testing, deployment, observability, performance tuning, and continuous improvement.
Contribute to and enforce standards and best practices for LLM/agent usage, data management, security, and governance.
Participate in design/code reviews and foster a supportive, caring, competitive, high ownership, deeply technical culture.

Required Qualifications

Strong production experience with Python.
Solid SQL skills and experience working with large datasets.
Experience designing, building, and operating production APIs or microservices, including testing, observability, CI/CD.
Experience running workloads on AWS and Kubernetes/EKS.
Experience with high performance data engineering, including:
- Iceberg, Delta, or Hudi; or
- optimizing storage, compression, latency, and analytical query performance.
Ability to work in a deeply technical, high ownership environment and collaborate effectively across functions.
Strong communication skills with the ability to work closely with security stakeholders and translate workflows into technical designs.

Preferred Qualifications

Demonstrated experience building LLM based applications or agentic workflows  (not just prompt tinkering).
Hands on experience with agentic workflows: agents, tools, orchestration, multistep pipelines.
Experience with LLM platforms: Ollama, Amazon Bedrock, SageMaker.
Familiarity with orchestration frameworks: LangChain, LlamaIndex, or equivalent internal tooling.
Production experience with Iceberg, Delta Lake, or Hudi.
Experience with DuckDB or LanceDB.
Experience with Rust and/or JavaScript/TypeScript.
Experience with workflow/orchestration tools: Airflow, Temporal, Argo.
Prior exposure to cybersecurity domains (SOC, IR, threat hunting, security engineering).
Experience in largescale enterprise or telecom environments with high security/reliability/compliance requirements.

Employees at all levels are expected to:

Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team - make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Support a culture of inclusion in how you work and lead.
Do what's right for each other, our customers, investors and our communities.

Disclaimer:

This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Amazon Web Services (AWS), Big Data Engineering, Python (Programming Language), System Designs

Compensation

National Pay Range: $83,626.10 USD-$195,998.68 USD Illinois Pay Range: $88,852.73 USD - $172,478.83 USD Colorado Pay Range: $94,079.36 USD - $180,318.78 USD Hawaii Pay Range: $109,759.26 USD - $164,638.89 USD Washington DC Pay Range: $120,212.52 USD - $180,318.78 USD Maryland Pay Range: $99,306.00 USD - $180,318.78 USD Minnesota Pay Range: $94,079.36 USD - $164,638.89 USD New York Pay Range: $99,306.00 USD - $195,998.68 USD Washington Pay Range: $94,079.36 USD - $188,158.73 USD New Jersey Pay Range: $104,532.63 USD - $188,158.73 USD Vermont Pay Range: $99,306.00 USD - $156,798.94 USD Massachusetts Pay Range: $104,532.63 USD - $188,158.73 USD California Pay Range: $94,079.36 USD - $174,221.04

Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

5-7 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant’s criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.

Cybersecurity Jobs List

Comcast Cybersecurity: Cyber Security Engineer – AI & Agentic Platforms