About the Company
Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.
If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you.
Location. This role is office-based at our Bellevue, Washington office.
What You'll Do (Key Responsibilities)
- Build new tools and services that support other teams’ data workflows, ingestion, processing, and distribution.
- Design, discuss, propose, and implement to our existing data tooling and services.
- Collaborate with a diverse group of people, giving and receiving feedback for growth.
- Execute on big opportunities and contribute to building a company culture rising to the top of the AI and Edge Computing industry.
Required Qualifications
- 6+ years of experience in software development.
- Experience with data modeling, ETL/ELT processes, streaming data pipelines.
- Familiarity with data warehousing technologies like Databricks/Snowflake/BigQuery/Redshift and data processing platforms like Spark; working with data warehousing file formats like Avro and Parquet.
- Strong understanding of Storage (Object Stores, Data Virtualization) and Compute (Spark on K8S, Databricks, AWS EMR and the like) architectures used by data stack solutions and platforms.
- Experience with scheduler tooling like Airflow.
- Experience with version control systems like Git and working using a standardized git flow.
- Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a team environment.
- Professional experience developing data-heavy platforms and/or APIs.
- A strong understanding of distributed systems and how architectural decisions affect performance and maintainability.
- Bachelor’s degree in computer science, Electrical Engineering, or related field.
Preferred Qualifications
- Experience analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability.
- Proficiency with a deep learning framework such as TensorFlow or Keras.
- Understanding of MLOps practices and practical experience with platforms like Kubeflow / Sagemaker.
Compensation
For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.
In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).
Benefits
- Competitive base salary and equity
- Medical, dental, and vision (subsidized cost)
- Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
- Retirement plan options, including 401(k) and Roth 401(k)
- Unlimited paid time off (PTO)
- 15 paid company holidays per year
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You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
