Senior Backend Engineer, Cargo Revenue Management

Our VisionFLYR Labs is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential. 
Starting with airlines, we provide the Cirrus Revenue Operating System™ that reshapes how travel and transportation businesses plan their commercial operation. We displace legacy data, forecasting, pricing, and reporting solutions with a single enterprise SaaS platform that leverages the latest advancements in deep learning, cloud computing, and user experience.
Our hyper-accurate contextual forecasts enable the most effective scheduling, marketing, and leadership decisions while directly managing the pricing for billions of dollars worth of product and revenue.
We are looking for a strong ML engineer to build new capabilities in the Cirrus Revenue Operating System to include Air Cargo demand forecasting and ML-based pricing capabilities.   As a  senior member of the engineering team, you will architect the development of a new AI-driven cargo revenue management application. Come join us in the early stages of a new product offering, powered by FLYR’s existing best-in-class Revenue Operating System.  We’re building  state-of-the-art ML powered forecasting and decision making systems,  on a SaaS cloud-native platform.   We strongly believe in fostering an environment for intellectually interesting work that advances your career progression on this journey. Let’s get you on board soon.

What will your journey at FLYR look like: (Responsibilities)

• You will build a greenfield new product offering on FLYR’s Cirrus platform, building capabilities in the areas of air cargo forecasting and automated pricing decision making.
• You will develop a robust and scalable data pipelines, ML model hosting,  and backend services for enterprise line of business applications in Python, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
• You will provide technical expertise and leadership in the design, development, and delivery of products, while adhering to coding standards, requirements, and quality.
• You will make accurate estimates for upcoming work, communicate technical solutions effectively, and report progress.
• You will work in a product-focused scrum team to deliver against a roadmap managed by a dedicated product owner.
• You will collaborate with Technical Product Owners to design and deliver complex data pipelines, ML-based decision support capabilities and external integration interfaces.
• You will work closely with data scientist teams on ML feature engineering and build model inference pipelines and model training set generation pipelines. 
• You will participate in stand-ups, bug triages, retrospectives, and other team meetings.
• You will be a technical thought-leader to constantly improve how we work.

What you should pack for this trip: (Qualifications)

• Progressive career experience as a software developer, data engineer,  analytics engineer, or ML engineer.    Software experience on data-intensive systems and experience working with data scientists and data analysts is required. 
• 2+ years of hands-on experience in building SaaS products.
• 4+ years of proven software development experience in a popular object-oriented or functional programming language, preferably Python.
• Solid computer science foundation including data structures, algorithms, and design patterns, with a proven track record of software design and architecture.
• Experience with Cloud platforms (GCP/AWS).
• Comfortable in SQL and modern data warehouses (BigQuery/Snowflake/Redshift). 
• Engineering and analytics experience with data pipelines for business KPIs and metrics.
• Solid grounding in version control and experience working with a team using Git.
• Senior members of our engineering organization have the ability to mentor and guide new members, grow the engineering-excellence culture, and influence the larger engineering organizations.
• Strong communication with experience collaborating across multiple teams and partners.
• Quantitative background (Computer Science, Engineering, Math, Economics, etc.) or equivalent work experience.

In-flight Amenities: (Perks & Benefits)

• Equity in Series C startup with high growth potential
• Comprehensive healthcare plans (Choice of PPO & HMO available)
• Generous PTO policy and flexible working arrangements
• 401K with company match
• Free Breakfast/Lunch (in office)
• Uber Eats - $30/Monthly (Hybrid Employees)
• 100% Paid Parental Leave for 12 Weeks
• $300 Home office set-up stipend (one time)
Compensation: The salary range for this role is commensurate with experience and is as follows:
• Starting minimum: $142,000
• Role cap: $199,000

Our Commit