Staff Software Engineer - Big Data

at  Servicenow

Company Description
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.
With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we’re proud to be one of FORTUNE 100 Best Companies to Work For® and World’s Most Admired Companies™.
Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.
Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.
Job Description
You will be part of the ServiceNow Cloud Services Big Data Team. The Big Data team is building the next-generation platform that collects, stores and provides real-time access to large amounts of data.

You will also build real-time analytic tools and reporting capabilities for various purposes including:

• Monitoring, alerting and troubleshooting
• Anomaly detection
• Capacity planning
• Data analytics
• ETL Pipelines

PREFERRED QUALIFICATIONS:

• Master’s degree in Computer Science or related technical fields.
• Able to handle multiple competing priorities in a fast-paced environment
• Experience with Kubernetes and docker
• Experience in working with 3 pillars of Observability(metrics, logs and traces) in an enterprise, big-scale settings
• Proficiency in code and system health, diagnosis and resolution, and software test engineering.
• Experience in setting and configurating performance testing tools like Jmeter

WHAT YOU GET TO DO IN THIS ROLE:

• Build the next-generation Observability platform in a big-scale
• Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
• Design software that is simple and modular to use to allow other engineers to extend and customize the functionality to meet their specific needs
• Develop data engineering components and applications and entities to empower self-serve for big data products
• Be a mentor for colleagues and help promote knowledge-sharing
• Team player with a proactive mindset
  Qualifications

TO BE SUCCESSFUL IN THIS ROLE YOU HAVE:

• Bachelor’s degree or equivalent experience in Computer Science or related field
• 6+ years of experience with Java or a similar OO language
• 6+ Experience with data structures, algorithms, object-oriented design, design patterns, SQL, and performance-scale considerations
• 4+ years in building and maintaining ETL pipelines using Bigdata technologies like Spark Streaming, Spark SQL, MapReduce, Kafka and Hive/Impala and Hadoop
• Ability to design complex systems with material & technical risk at a team level
• Enjoy working in an agile, rapid development, and prototyping environment
• Driven towards writing, debugging, and improving existing code
• Ability to make decisions independently
• Exceptional debugging, testing, and problem-solving skills.
• Exceptional written and verbal communication skills with proven ability to effectively communicate complex technical issues to both technical and non-technical teams.

You will also build real-time analytic tools and reporting capabilities for various purposes including:

• Monitoring, alerting and troubleshooting
• Anomaly detection
• Capacity planning
• Data analytics
• ETL Pipeline