Direct message the job poster from StitcherAI
Founder & CEO - StitcherAI | FinOps / FOCUS Chair | Engineering leader @ AWS, Apptio, Citi
Staff Software Engineer - Data Platform (Python/Rust)
Join the Revolution in FinOps and AI
We're StitcherAI, an early-stage startup based in the US and Canada with significant industry buzz. Worldwide IT spending is estimated to be 5.7 trillion USD in 2025. Cloud, SaaS, and AI spending is driving the boom, but 30+ % of every dollar spent on OpEx is waste. Our customers love that our cost analytics platform brings accountability, efficiency, and business alignment to their enterprise IT investments. We're seeking a talented staff software engineer to join our early-stage team and help design and develop the next phase of our cutting-edge data engineering platform.
About Us
Our team of FinOps, Data, and AI experts is building a revolutionary AI-powered, low-code data engineering platform for FinOps and Finance teams. We empower organizations with accurate, relevant, actionable financial data to drive cost-aware, business-aligned investment decisions. Even though we're an early-stage company, StitcherAI has gained significant traction in the market and has already signed large enterprise customers (paid).
The Ideal Candidate
- Operates like a founder: self-motivated, end-to-end ownership, strong work ethic, and wants to delight customers
- Consistently delivers results and helps scale the product and team
- Strong technical instincts, ability to dive deep, and a can-do attitude
- Excellent teamwork, interpersonal, and communication skills
- Flexible working style, embrace startup culture, and adapt to changing priorities
Key Responsibilities
- Delight semi-technical users with our AI-powered low-code data engineering platform
- Design for high performance using cutting-edge open-source technologies
- Orchestrate data pipelines using frameworks like Temporal, Polars, PRQL, and work with various storage formats and architectures
- Integrate with multiple clouds, SaaS provider APIs, and storage systems
- Build, test, and deploy solutions on cloud-native environments
Key Qualifications
- 6+ years of hands-on experience in enterprise-scale software development
- 4+ years of hands-on experience in Python/Java/Rust and cloud-native software engineering
- Experience in transforming and operating on large datasets using frameworks like Pandas and Polars
- Experience with optimizing data operations like aggregations, transformations, clustering, partitioning, and storage techniques
- Experience with orchestrating data pipelines using frameworks like Temporal or Airflow
- Experience integrating with various clouds, SaaS provider APIs, and storage and data systems
- Experience with general backend development, including REST APIs
- Familiarity with big data technologies like Hadoop, Hive, Spark, and EMR
- Familiarity with DevOps practices like Kubernetes, Docker, CI/CD, logging/metrics, and cloud-native development
- The candidate must be legally employable in Canada full-time and located in the greater Toronto area.
Nice to Have
- Familiarity with FinOps and financial data platforms
- AI/ML experience with multivariate forecasting and anomaly detection
- Experience with GenAI, including training and deploying commercial and open-source models
What We Offer
- An exciting opportunity to join a 0-1 startup story on a highly technical product that will revolutionize the way Finance and FinOps teams operate in the new Cloud/SaaS/AI-based IT landscape
- A collaborative, dynamic, and flexible work environment backed by a team of industry experts, investors, and advisors
- First-10 equity and salary adjustments within the first six months (post-seed raise)
If you're passionate about working with industry experts in an early-stage startup to reimagine enterprise finance tooling, we'd love to hear from you!
- Paid time off
- Stock options
- Work from home
Schedule:
Work Location: Remote
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