Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)
Job SummaryThe Data & AI group (D&A) is part of Comcast Cable's Technology & Product (T&P) organization and provides a powerful data ingest and processing platform, serving major groups across the company.
In this role, you will lead a talented team of engineers in building out and guaranteeing our Data Pipeline Platform, as well as contributing to its design and development. This platform is key to increasing the speed of innovation across the organization. You will partner with talented engineers across multiple teams to realize new high-volume services and features, achieving alignment and keeping developers empowered and unhindered.
Comcast T&P encourages career development with regular opportunities for training and programs for innovative cross-team projects such as week-long Hackathon and job rotation programs over the summer.
Job DescriptionWhat You'll Do: - Leading a team of engineers and prioritizing high impact goals
- Serving to unlock the potential of the development team and partner teams
- Building production-quality services and platform features for high volume data processing with a sound, reliable architecture
- Monitoring platform services
- Writing production-quality, tested code.
- Ownership of code, responsibility for balancing functionality, efficiency, development time and readability, as well as robustness
- Producing technical designs and documentation at varying levels of granularity
- Collaborating with our quality assurance and technical operations teams to provide outstanding customer service
- Resisting the accrual of "technical debt" in our systems.
- Staying educated on technical developments and tools necessary for the design and maintenance of complex, distributed platforms.
Qualifications- BS in Computer Science, Computer Engineering or related technical field
- 4+ years managing a team of software engineers in a production server environment with high data volume / traffic
- 8+ years of development experience with Java or Golang
- Python experience desired
- Production experience leveraging container orchestration systems such as Kubernetes
- AWS cloud services and infrastructure experience required
- Expertise with Docker images required
- Experience developing and managing production backend services
- Experience with distributed messaging (Kinesis, Kafka) required
- Experience with SQL, noSQL databases (Redis / Elastic Search / DynamoDB) required
- Strong error handling habits and experience with monitoring tools required
- Experience with continuous integration, test-driven-development, automated unit and integration testing
- Hands-on experience developing RESTful web services desired
- Experience using GIT versioning tool required
- Experience with agile development methodologies and practices (refactoring, TDD, pair programming)
- UNIX/Linux background
- Experience with various data interchange and representation formats such as JSON, XML, Avro, and Protobuf
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.
SkillsAmazon Web Services (AWS), Cloud Based Services, Docker (Software), Java, Kubernetes, Leadership
CompensationPrimary Location Pay Range: $164,058.19 - $246,087.29
This job can be performed in District of Columbia with a Pay Range of $164,058.19 - $257,273.07
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
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.
EducationBachelor's 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 Experience7-10 Years
Comcast 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.
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