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Engineer - Software Lvl 2

Roles & Responsibilities

  • Proficiency in Python (required) with experience in Go or willingness to learn Go
  • Experience with RESTful architecture and microservices
  • Experience with cloud-based services such as AWS
  • Familiarity with Docker and Kubernetes

Requirements:

  • 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.

Job description


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:

Need to have -

Python Required -

GO Lang - nice to have, must be willing to learn

  • Proficiency in Python, Go and familiarity with another object-oriented programming language (e.g., Java)

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.
• Experience with integrations in/out of Financial planning systems (Anaplan, Oracle) a plus.
• Excellent communication skills (verbal and written).
• 3+ years of professional experience in practice area


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