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 thePremonitionplatform, which manages, deploys, and composes agentic pipelines at scalecombining large language models, high-performance data systems, and modern cloud infrastructure to give our security teams a decisive edge.
We work with technologies likePython, SQL, Rust, JavaScript, LLMs(via Ollama, Bedrock, SageMaker),AWS, EKS, open table formats (Iceberg, Delta, Hudi), and embedded engines such asDuckDB 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 Cyber Security Engineer on theCybersecurity AI & Data Platformsteam, you will develop andmaintainPremonition, 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 LLMandagent drivenworkflows, and
- optimizingthehigh-performancedata 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, andcyber focusedagentic pipelines, while also owning the data and infrastructure foundations that make those systems fast, reliable, andcost-effectiveat Comcast scale.Youllpartner closely with security operations, incident response, andthreat huntingteams to translatereal-worldworkflows into secure, composable, and observable agentic systems.
Key Responsibilities
- Design, build, andmaintainthePremonition platformfor managing, deploying, andmonitoringagentic pipelines.
- Develop composable building blocksagents, tools, pipelines, evaluators, and configurationto enable rapid workflow assembly and iteration.
- Implement robustAPIs, orchestration, and infrastructure integrationson AWS and EKS for reliable LLMandagent drivenworkloads.
- Engineer andoptimizethehigh performancedata layer, including Iceberg/Delta/Hudi, compression, indexing, latency, and largescale query performance.
- Work with embedded engines such asDuckDBandLanceDBto enable interactive,low latencyanalytics.
- 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 withPython.
- SolidSQLskills and experience working with large datasets.
- Experience designing, building, and operatingproductionAPIs or microservices, including testing, observability, CI/CD.
- Experience running workloads onAWSandKubernetes/EKS.
- Experience withhigh performancedata engineering, including:
- Iceberg, Delta, or Hudi; or
- optimizingstorage, compression, latency, and analytical query performance.
- Ability to work in a deeply technical,high ownershipenvironment and collaborate effectively across functions.
- Strong communicationskills with the ability to work closely with security stakeholders and translate workflows into technical designs.
Preferred Qualifications
- Demonstrated experience buildingLLM basedapplications or agentic workflows (not just prompt tinkering).
- Hands on experience withagentic 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 withIceberg, Delta Lake, or Hudi.
- Experience withDuckDBorLanceDB.
- Experience withRustand/orJavaScript/TypeScript.
- Experience with workflow/orchestration tools:Airflow, Temporal, Argo.
- Priorexposure 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 whats 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), Structured Query Language (SQL)
Compensation
National Pay Range: $98,678.80 USD-$231,278.44 USD Illinois Pay Range: $104,846.23 USD - $203,525.03 USD Colorado Pay Range: $111,013.65 USD - $212,776.16 USD Hawaii Pay Range: $129,515.93 USD - $194,273.89 USD Washington DC Pay Range: $141,850.78 USD - $212,776.16 USD Maryland Pay Range: $117,181.08 USD - $212,776.16 USD Minnesota Pay Range: $111,013.65 USD - $194,273.89 USD New York Pay Range: $117,181.08 USD - $231,278.44 USD Washington Pay Range: $111,013.65 USD - $222,027.30 USD New Jersey Pay Range: $123,348.50 USD - $222,027.30 USD Vermont Pay Range: $117,181.08 USD - $185,022.75 USD Massachusetts Pay Range: $123,348.50 USD - $222,027.30 USD California Pay Range: $111,013.65 USD - $205,580.83
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. Thats 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 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
Bachelors Degree
While 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
7-10 Years