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Job Title: Network Engineer

Job Description:

We're seeking a skilled Network Engineer to support the nationwide deployment and maintenance of Comcast's virtual Cable Modem Termination Systems (vCMTS) and Remote PHY (RPHY) turn-ups. This cutting-edge, cloud-based vCMTS technology replaces traditional analog hardware, enabling faster speeds, improved network performance, and enhanced reliability for Xfinity customers, ensuring reliable activation of next‑generation access network (NGAN) platforms. As part of the NGAN Operations Team, the engineer will be responsible for vCMTS platform stand‑up, including software installation, system validation, network configuration, and ongoing maintenance. By shifting core CMTS functions to edge compute infrastructure, Comcast achieves greater agility, cost efficiency, and localized network intelligence. This role is pivotal to our next-generation access network (NGAN) strategy and demands deep expertise in production operations within a 24x7 environment.

Responsibilities

Perform software installation, system configuration, and network readiness validation for new vCMTS deployments.Execute standardized processes to activate and validate Remote PHY devices across national footprints.Perform system upgrades, RMA replacements, and automation tasks (Python, Bash, etc.).Identify recurring service-impacting issues and collaborate with development teams to implement long‑term fixes.Participate in on‑call rotation to troubleshoot and restore service during outages.Diagnose and resolve issues involving Juniper, Arista, or Cisco network devices.Build, replace, and troubleshoot server hardware and system software.Develop scripts to streamline operational workflows and reduce manual effort.Work with Product and Project Management teams to integrate and operationalize new NGAN products.Partner with regional engineering teams to enhance product stability and build automation tools.

Experience & Skills

5+ years of hands‑on experience in a 24×7 production operations environment.Strong proficiency in Unix/Linux environments.Experience with scripting and automation (Python, Bash, etc.).Proven ability in network troubleshooting and configuration (CCNA/JNCIA optional but beneficial).Demonstrated skill in server hardware and software troubleshooting.Familiarity with Kubernetes, Jenkins, Ansible, Git is a plus.Experience with system hardware builds and replacements.Exposure to new product integration and operational readiness processes.Ability to work in a 24/7 operations model, including on‑call, weekends, and holidays.

Qualifications

Experience supporting virtual CMTS platforms.Hands‑on work with Juniper, Arista, or Cisco network devices.Background in automation frameworks and CI/CD pipelines.Understanding of IT service monitoring and observability.

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* Establish milestones and monitor adherence to plans and schedules, identify delivery risks, and obtain/drive mitigation strategies and solutions
* Test cases, Use cases, Python scripting for JAVA middleware development, REST, Json, Jenkins, Splunk, Swagger
* Define and execute relevant business scenarios to satisfy real-world business needs.
* Define and tracks quality assurance metrics such as defects, defect counts, test results and test status.
* Collect and analyzes data for software process evaluation and improvements, and integrates them into business processes to address the needs of the business.
* Responsible for developing and executing formal test plans to ensure the delivery of quality software applications. Involved in test planning, writing test cases/scripts, test case automation and test execution.
* Document all problems and assists in their resolution.
* Deliver quality process training to technical staff and acts as an internal quality consultant to advise or influence business or technical partners.
* Perform quality audits across the various IT functions to ensure quality standards, procedures and methodologies are being followed.


Skills
* Bachelor's Degree in Computer Science, Information Systems, or similar. Or equivalent work experience.
* 5-8 years of overall QA testing experience
* Minimum of 3+ years of hand-coded Python scripting experience.
* MUST have automated testing experience
* QA testing JAVA is required
* 3+ years of Windows software QA and testing experience in an agile environment using the scrum framework
* Experience with test case management tools (TestRail)
* Experience with scripting languages (Javascript, Jscript, VBScript, C#, Python, etc.)
* Experience with API testing
* Familiarity with media planning and buying workflows and/or software systems
* Ability to function well within their team, working with POs, BAs, developers, and other team members.
* Strong organization skills and the ability to work on multiple concurrent projects, with a high standard of quality
* Excellent analytical and troubleshooting abilities
* Strong oral and written communication skills
* The ability to quickly shift priorities and adapt to change

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Scrum MasterAbout the Role

Seeking an experienced Scrum Master / Agile Practitioner to support enterprise Agile delivery teams on a strategic initiative focused on transforming network data platforms and digital infrastructure capabilities.

This role will sit within a highly collaborative engineering environment, partnering with Product Owners, Engineering Leaders, Architects, and cross-functional teams to enable successful delivery of complex technology initiatives.

The ideal candidate is not just a Scrum facilitator - the client is looking for an Agile leader who can coach teams, improve delivery practices, remove obstacles, influence stakeholders, and help engineering teams continuously improve.

About the Team & Project

The team is responsible for modernising how the organisation represents, manages, and leverages network data across the organisation.

Key initiatives include:

Modernising digital representation of network infrastructureSupporting current HFC (Hybrid Fiber Coaxial) network capabilities and future Fiber network evolutionRebuilding platforms using modern data architecture principlesImproving data governance, ownership, transparency, and qualityDeveloping future capabilities including graph-based network representation and enhanced ecosystem integration

This is an opportunity to support a major enterprise technology transformation within one of the world's leading connectivity and technology organisations.

ResponsibilitiesFacilitate Agile ceremonies including:Sprint PlanningDaily Stand-upsSprint ReviewsRetrospectivesBacklog RefinementScrum of ScrumsPI Planning / ART ceremoniesCoach teams on Agile principles, Scrum practices, and continuous improvementPartner with Product Owners to support backlog prioritisation, refinement, and delivery planningIdentify and remove blockers impacting engineering deliveryManage risks, dependencies, and delivery challenges across teamsSupport SAFe Agile practices within an enterprise environmentTrack and communicate Agile delivery metrics including velocity, burndown, and team performanceDrive improvements around team maturity, collaboration, and delivery effectivenessWork closely with Engineering Managers, RTEs, Product Owners, and business stakeholdersRequired Skills & Experience5+ years' experience as a Scrum Master / Agile PractitionerStrong understanding of Agile Scrum methodology and SAFe frameworkExperience supporting enterprise-scale technology delivery teamsProven ability to coach teams and improve Agile maturityExperience working with engineering, product, and cross-functional teamsStrong stakeholder management and communication skillsExperience managing:DependenciesRisksBlockersDelivery reporting

Hands-on experience with Agile tools:

JiraConfluenceAzure DevOpsPreferred ExperienceSAFe Scrum Master certificationCertified Scrum Master (CSM)Experience supporting large-scale technology transformation initiativesTelecommunications, networking, infrastructure, or connectivity experienceExperience working with complex data platforms or engineering environments

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We're looking for DOCSIS Engineer and you'll review the platform's RF-plant analysis and confirm it reflects what is genuinely happening on a live DOCSIS network. You'll be the human authority that tells the client "yes, this is right" or "here's where it's off, and here's what it's missing."

What you'll be doing

Reviewing automated RF-plant analysis and validating it against what is actually happening on the network - confirming the platform isn't misreading or over-stating the data.Sanity-checking the interpretation of RF performance, signal behavior, and physical-layer impairments across the plant.Assessing the platform's predictive trending - whether its "this is starting to degrade" calls hold up against real-world DOCSIS RF expertise.Delivering a clear, expert read on what's solid, what's inaccurate, and what additional signals should be considered.

What we're looking for

Deep, hands-on DOCSIS RF / HFC physical-layer expertise- gained at a cable operator (MSO) or equipment vendor.Strong ability to read RF plant performance- spectrum behavior, signal levels, noise and impairments - not just protocol or IP-layer data.Practical live-plant diagnostic experience- sweep/balance, signal forensics, and proactive network maintenance (PNM)-style analysis.Solid DOCSIS 3.1 and 3.0 knowledge.Comfort reviewing and critiquing analytic output- forming and clearly communicating an expert verdict.

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Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

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We are seeking an experienced Data Engineer to design, build, and optimize scalable data platforms that support analytics, reporting, and data-driven decision-making across the organization. This role will partner closely with Product, Analytics, Data Science, and Engineering teams to develop reliable, high-performance data solutions and drive best practices in modern data engineering.

Key Responsibilities

Design and maintain scalable ELT/ETL pipelines using SQL, Python, dbt, and cloud-native technologies.Build and optimize data warehouse and lakehouse solutions leveraging Snowflake, Databricks, and AWS services.Develop dimensional data models and analytics-ready datasets to support business intelligence and advanced analytics.Implement data quality, monitoring, and observability frameworks to ensure data reliability and trust.Build and support batch and near-real-time data pipelines using Kafka, Spark, and Airflow.Optimize platform performance, scalability, and cost across data infrastructure and workloads.Collaborate with cross-functional stakeholders to translate business requirements into scalable data solutions.Drive CI/CD, infrastructure-as-code, and engineering best practices across the data platform.Mentor junior engineers and contribute to technical leadership, architecture decisions, and code reviews.

Required Skills

8+ years of experience in Data Engineering or related fields.Advanced SQL and Python development experience.Strong expertise with Snowflake, dbt, Airflow, and modern ELT frameworks.Experience designing dimensional models and enterprise-scale data warehouses.Hands-on experience with Kafka, Spark/PySpark, and streaming data architectures.Strong understanding of cloud platforms, particularly AWS.Experience with Terraform, Docker, Kubernetes, and CI/CD pipelines.Knowledge of data governance, schema evolution, data quality, and observability practices.

Qualifications

Experience supporting analytics, product, marketplace, ecommerce, or customer data platforms.Exposure to Databricks and multi-cloud environments.Background partnering with Data Science, Product, and Analytics teams.Master's degree in Mathematics, Computer Science, Engineering, or a related quantitative field.

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**Job Title: Senior QA Automation Engineer (Full-Stack Quality Engineer)**

### About the Role
We are seeking a highly skilled **QA Automation Engineer** to join our engineering team. In this role, you will design, develop, and maintain robust automated testing solutions for complex, modern web applications built on microservices architecture. You will bridge development and quality by writing production-grade code for test automation, ensuring high reliability, scalability, and performance across our stack. This is a hands-on, code-heavy position ideal for someone who loves both testing and software engineering.

### Key Responsibilities
- Develop, maintain, and scale end-to-end (E2E), API, integration, and performance test automation frameworks.
- Build and enhance automated test suites using JavaScript/TypeScript test automation libraries.
- Design testing strategies for microservices architectures, including contract testing, service virtualization, and distributed system validation.
- Collaborate closely with backend (Java/Node.js) and frontend (React) developers to implement shift-left testing practices.
- Perform manual exploratory testing when needed and mentor team members on best practices.
- Integrate automated tests into CI/CD pipelines, Git Actions and monitor test execution, flakiness, and coverage.
- Analyze test results, troubleshoot failures, and drive continuous improvement in quality processes.
- Work with databases for test data management and validation.

### Required Qualifications and Skills
- **Strong Programming & Automation Expertise**:
- Proficiency in **JavaScript/TypeScript** and experience with top JavaScript test automation libraries such as **Playwright** (preferred for its reliability and modern features), **Cypress**, or **Selenium/WebDriverIO**.
- Ability to develop clean, maintainable, production-grade automation code (Page Object Model, custom frameworks, etc.).

- **Backend & Languages**:
- Solid understanding of **Java** and functional programming concepts.
- Experience with **Node.js**, **Express**, and related ecosystems.

- **Frontend**:
- Hands-on experience with **React** for component and E2E testing.

- **Databases**:
- Strong experience with **PostgreSQL** (queries, schema validation, data integrity testing).
- Working knowledge of **MongoDB**.

- **API & Tools**:
- Expert-level experience with **Postman** and **Insomnia** for API testing, collection management, and automation.
- Familiarity with REST, GraphQL, and related testing practices.

- **Architecture**:
- Deep familiarity with **microservices architecture**, including challenges like inter-service communication, resilience, and contract testing (e.g., Pact).
- Understanding of Hashicorp tech stack.

### Highly Valued Tools & Technologies (Top Performer Toolkit)
Top-performing QA professionals in 2026 leverage a modern, integrated toolchain. Experience or quick proficiency in the following is a big plus:

- **Test Automation**: Playwright, Cypress, Selenium, WebDriverIO, Appium (for any mobile needs).
- **API & Contract Testing**: Postman, Supertest, Pact, WireMock, REST Assured.
- **Performance & Load**: JMeter, k6.
- **CI/CD & DevOps**: Jenkins, GitHub Actions, GitLab CI, Docker, Kubernetes basics.
- **Test Management & Reporting**: TestRail, Allure, or similar.
- **AI-Powered & Emerging Tools**: Exposure to AI-assisted testing (e.g., self-healing, test generation in tools like Mabl, Katalon, or QA Wolf), visual testing (Applitools), or agentic automation.
- **Other Utilities**: Git, Jira/Linear, BrowserStack or similar cloud testing platforms, Charles/Fiddler for proxy debugging, Lighthouse for performance.

### Ideal Candidate Profile
- 4+ years of experience in QA automation, with a strong emphasis on coding and framework development.
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- Excellent problem-solving, critical thinking, and communication skills.
- Passion for quality, reliability, and staying current with industry trends (AI in testing, shift-left, observability).

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We are looking for a Python SDET with strong automation expertise to build and scale test frameworks from scratch. The role requires deep understanding of automation architecture, CI/CD integration, cloud-based testing, and end-to-end validation across web, API, and mobile platforms.

Key Responsibilities

Design and develop scalable test automation frameworks from scratchImplement parallel testing (cross-browser and multi-device execution)Build and maintain automated tests for web, APIs, and mobile applicationsDevelop scripts for real device testing in local labs and Sauce Labs environmentsIntegrate automation into CI/CD pipelines using Concourse and GitHub ActionsPerform troubleshooting, debugging, and root cause analysisCollaborate with cross-functional teams to ensure product quality

Required Skills

Strong programming skills in Python and solid testing fundamentalsExperience with Cypress (JavaScript) and/or SeleniumHands-on experience with automation framework design and architectureExpertise in parallel execution strategiesExperience with CI/CD pipeline setup and cloud-based testing toolsStrong knowledge of API testing and automation frameworksExcellent problem-solving and troubleshooting skillsExposure to device testing in lab or cloud environments (e.g., Sauce Labs)

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Overview

A skilled QA analyst who has worked as Software Development Engineer in Test (SDET) with strong experience in automation testing, Java and Python scripting, and quality assurance for enterprise applications. Expertise in designing and executing automated and manual test strategies within Agile (Scrum) environments.

Experienced in working on Java-based middleware systems, API testing, and integrating automated test suites into CI/CD pipelines using Jenkins. Adept at leveraging tools like Splunk, Swagger, and TestRail to enhance testing efficiency and software quality. Combines a strong development background with QA practices to deliver scalable, high-performance, and reliable software solutions.

Key Responsibilities

Establish project milestones, track progress, identify risks, and drive mitigation strategies.Design, develop, and execute automated test scripts using Java and Python.Create and maintain test cases, use cases, and test scenarios aligned with business needs.Perform API testing using REST, JSON, and Swagger tools.Work on Java middleware testing, ensuring backend system reliability.Integrate test automation into CI/CD pipelines using Jenkins.Monitor and track QA metrics such as defect counts, test results, and execution status.Analyze testing data to identify process improvements and enhance product quality.Execute functional, regression, and integration testing.Document defects and collaborate with development teams for resolution.Use Splunk for log analysis and troubleshooting.Maintain test case repositories using tools like TestRail.Conduct quality audits to ensure compliance with QA standards and methodologies.Provide quality training and guidance to team members and stakeholders.Collaborate with POs, BAs, developers, and cross-functional teams in Agile environments.

Key Requirements & Qualifications

Bachelor's degree in Computer Science, Information Systems, or equivalent experience.3+ years of QA/testing experience, preferably in Agile/Scrum environments.Strong experience in automated testing (mandatory).Hands-on experience with Java-based QA testing.Proficiency in scripting languages such as Python, JavaScript, VBScript, C#.Experience in API testing (REST, JSON).Familiarity with tools like Jenkins, TestRail, Splunk, Swagger.Experience with automation frameworks and SDET practices.Understanding of media planning/buying systems (preferred).Strong analytical and troubleshooting skills.Ability to manage multiple projects with high attention to quality.Excellent communication and collaboration skills.Ability to adapt quickly to changing priorities in a fast-paced environment.

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