Engineer - Software Lvl 3 Backend

Equipment: Macbook
Interviews:2 rounds - 1 technical and 1 behavioral
On Call Requirements: Yes
• Will On Call be outside of the standard work shift? Yes - Pager Duty
• What are the expected coverage hours for the on-call shift? 24/7
• Is the on-call duty limited to weekdays, or does it include weekends and holidays? both weekends and evenings
• What is the expected response time during on-call hours? 5-15 minutes
• How frequently will the engineer be on-call (e.g., weekly, monthly)? 1x a month

Software Engineers at Nordstrom apply their skills and talents to build scalable and sustainable solutions, utilizing best engineering practices and the latest Cloud technologies in an agile, team-oriented and collaborative environment. We are seeking a Software Engineer to join our Finance Technology Delivery team as we intensify the pace of innovation and support future growth through technology solutions. The Software Engineer will be responsible for building mission-critical Integrations between source data with financial SaaS and Nordstrom applications.

A day in the life...
• Leads multidimensional projects that involve multiple teams.
• Leads and works with other software engineers on design best practices and conducts code reviews.
• Resolves complex engineering problems, collaborating with others.
• Facilitates cross functional troubleshooting, root cause analysis and engages others when needed.
• Responsible for creating, evaluating, and contributing to feature detailed designs.
• Design, develop, and implement software utilizing an agile project cycle.
• Mentor others on the team and raise the bar for technical knowledge across a wide spectrum.
• Demonstrates thorough knowledge of information technology concepts issues, trends and best practices as they relate to Cloud technologies and system integrations.
• Apply and share knowledge of security coding practices and secure system fundamentals

Skills:
Proficiency with containerization technologies such as Docker
• Familiarity with Kubernetes.
• Familiarity with relational databases.
• Experience with RESTful architecture and micro-services.
• Experience with cloud-based services such as AWS.
• Familiarity with Continuous Integration and Continuous Delivery methodologies and tooling.
• A deep proficiency of Java, additional languages such as Python is a plus.
• Experience in developing near real-time data processing solutions utilizing Kafka is a plus.
• Excellent communication skills (verbal and written).
• 5+ years of professional experience in practice area