Job Description
- Job Description:
- Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference
- Shape long-term architectural direction, technology stack, and engineering best practices
- Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform
- Mentor and guide engineers across teams, fostering strong engineering culture and technical excellence
- Partner with peers in product management, operations and data science to translate ambiguous business requirements into actionable technical plans
- Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
- Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products
- Requirements:
- 10+ years of hands-on experience building complex distributed systems or large-scale backend platforms
- Ability to gain trust and influence to adopt a specific technical direction or architectural change without having direct managerial authority across stakeholders
- Strong working experience with Scala or Java (additional experience with python, Rust, or C# are a plus)
- Deep expertise with data-intensive systems or real-time processing pipelines.
- Proven ability to drive high-impact, green field and/or ambiguous projects
- Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.
- Working experience writing SQL queries
- Strong CS foundation (data structures, asynchronous programming)
- BS or MS in Computer Science (or equivalent experience)
- Benefits:
- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
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