Engineering Manager (Python) – Mentorship & Impact

Ascend Analytics; Boulder (CO); On-site; Full time

Job description

Mentorship: As an Engineering Manager, you'll have the opportunity to mentor and guide junior engineers, sharing your expertise and contributing to their professional growth.

Technical Leadership: You will be the driving force behind the design and development of our back-end software applications, with a primary focus on Python. Your architectural insights will be pivotal in shaping mission-critical decision analytics for the global renewable energy and battery storage industry.

Project Leadership: Manage projects, provide code reviews, and contribute to advanced system design discussions. Your experience will be instrumental in shaping the direction of our software solutions.

Job Responsibilities:

• Craft clean, scalable, and production-ready Python code that underpins our clean-tech software solutions.
• Drive performance, stability, and scalability through code refactoring.
• Architect systems for collecting, storing, and processing large-scale data.
• Collaborate with other product teams and groups, bridging the gap between technical and non-technical stakeholders.
• Foster a culture of excellence by conducting code reviews and performance assessments.

Qualifications and Experience:

• 2+ years of technical management experience and/or 3-5+ years of Technical Lead experience
• 8+ years of experience as a back-end software engineer.
• BS or MS in Engineering, Computer Science, Data/Information Science, or related fields.
• Strong skills/proficiency in Python and at least one other programming language i.e. Java, C#, Ruby, Rust, Julia.
• Familiarity with data processing libraries (e.g., Pandas, Numpy, Scikit-Learn).
• Flexibility to support complex technical issues and critical customer outages for our customers during their times of need.

Preferred Skills and Knowledge:

• Full-stack application design and RESTful web services development.
• Exposure to cloud computing platforms (e.g., Azure, AWS) and containerization (e.g., Docker).
• Knowledge of data science, statistics, and machine learning.

Compensation:

$160,000 - $220,000

We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.