Technical Lead, Staff Backend Engineer
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
Apply Now
Apply Now
• 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
Apply Now
Apply Now