Sr. Golang Software Engineer

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 Summary

You will be an innovator within DataBee. (https://www.comcasttechnologysolutions.com/databee-suite) This division specializes in offering Software-as-a-Service (SaaS) and subscription-based security solutions to large enterprises and the federal government. For the first time ever, customers are now able to purchase some of the best of Comcast’s own in-house security technologies.

These solutions are proven-at-scale to defend critical infrastructure and effectively reduce cost. The Cybersecurity Suite efficiently improves security and compliance while keeping costs in check.

Responsible for planning and designing new software and SaaS applications. Analyzes, tests and assists with the integration of new applications. Oversees the documentation of all development activity. Assists with tracking performance metrics. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead projects and shares expertise.

In the role of Cyber Software Developer, you will be an important contributor to the DataBee Cyber Security Data Fabric. Reporting to the Analytics and Data Science Software Engineering Manager, you will be primarily responsible for developing multiple microservices for DataBee. You will work in a high pace, collaborative engineering environment to deliver value for DataBee customers. You also will be influential in creating a startup culture for the DataBee business unit, enabling and empowering your teammates to work in an agile fashion.

Job Description

Core Responsibilities

• Work with engineering team, product, and user experience to understand new requirements.
• Refine and estimate new deliverables.
• Implement new services and automation tasks to specification
• Understand platform usage and assist with production deployments and customer issue triage.
• Design and develop analytical applications that can be hosted on cloud platforms.
• Develop security features as part of the development and embrace the DevSecOps culture.
• Use and improve on tools to identify and mitigate production incidents.
• Create re-usable software components or libraries that can be leveraged by multiple teams, where needed.
• Create self-contained microservices or application programming interfaces to support the business logic.
• Collaborate with project stakeholders to identify product and technical requirements.
• Work closely with the engineering team leaders, architects and DevOps Engineers to define functional and technical requirements.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Other duties and responsibilities as assigned.

 

Additional Required Skills and Experience: 

• 5+ years programming experience within Golang and some experience with Python
• Bachelor's Degree required in computer science or a related technical field. 
• Experience using Docker and Kubernetes. 
• Proven expertise in developing and implementing microservices. 
• Experience working with Data lakes (Snowflake, Databricks, Microsoft Fabric and BigQuery) 
• Experience working with big data processing and ETL. 
• Experience working in Agile Scrum development environments. 
• Experience working with GitHub and Jira or similar technologies. 
• Experience using Python or Golang unit test frameworks. 
• Experience developing on a SaaS product. 
• Preferred if