Lead backend development at Drivetrain AI, focusing on enhancing system efficiency, scalability, and data handling while optimizing application performance and collaborating with engineering teams.
Drivetrain is on a mission to empower businesses to make better decisions. Our financial planning & decision-making platform helps companies scale and achieve their targets predictably.
Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 by a couple of ex-Googlers, Drivetrain is a fast-growing company on a trajectory for success with backing from leading venture capital firms.
Drivetrain provides a great culture for its employees to thrive in and be happy.
💜 Remote-friendly: Drivetrain brings together the best and the brightest, no matter where they are and provides them a great degree of autonomy. We trust our people.
🗣️ Open & transparent: We know that when our creators have access to all the information they need, their best work will emerge.
👏 Idea-friendly: We provide an environment to explore new ideas, to take risks, to make mistakes, and to learn, so you can succeed. Anyone in the company can come up with great ideas and become a catalyst for positive change. We let the best ideas win.
👥 Customer-centric: We follow a product-led growth strategy, continuously learning from our customers and collaborating to build the amazing software that Drivetrain is.
About the role
Drivetrain AI is looking for a talented Staff Engineer, who will be at the forefront of data analytics innovation, building systems that transform how businesses extract value from their data through our powerful compute engine, intuitive frontend, and comprehensive integration capabilities.
What you’ll be doing
Architect, refine, and escalate the capabilities of complex backend systems with a laser focus on efficiency, durability, and scale.
Elevate application performance, optimizing for speed, scalability, and resource allocation. Forge robust methodologies to manage high concurrency and vast data volumes, setting new industry benchmarks.
Collaborate intimately with engineering and product peers to crystallize requirements into resilient, scalable architectures.
Demonstrate proficiency with advanced storage solutions and databases like Redis and PostgreSQL enhancing system integrity.
Champion coding excellence, testing rigor, and deployment precision, driving best practices across the development lifecycle.
What you'll bring to the role:
Bachelor's or Master's degree in Computer Science Engineering
5-8 years experience in backend development with Java, Python, or Go in production environments
Proven experience scaling compute-intensive applications that process large volumes of data
Strong foundation in computer science fundamentals, data structures, algorithms, and system design
Experience optimizing backend systems that support dynamic frontend data manipulation interfaces
Proficiency with database technologies including Redis, PostgreSQL, and distributed data systems
Experience building or maintaining extensive API integration frameworks is highly desirable
Solid understanding of software development lifecycle, CI/CD practices, and deployment automation
Excellent problem-solving abilities and strong communication skills to collaborate across teams
Sounds exciting? Apply at [email protected]. It may just be the next best decision you’ve ever made!
Similar Jobs
Consumer Web • HR Tech
The Applied AI Engineer will design and build agentic systems that automate insights into results, collaborating with teams to ensure systems are effective, reliable, and integrated with current AI tools.
Top Skills:
.NetAws LambdaChatgptGoogle GeminiPerplexityPython
Big Data • Cloud • Software • Database
The Staff Engineer will design and implement a platform for the Application Modernisation, focusing on distributed systems and infrastructure, mentoring engineers, and ensuring security compliance.
Top Skills:
Api GatewaysContainerizationOrchestrationPersistent Storage SolutionsSoftware Development
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
Design and develop AI agents with multi-step reasoning, build workflows, integrate with various platforms, monitor and optimize performance, and collaborate with teams to implement AI solutions.
Top Skills:
Api DevelopmentCi/CdCloud-Native DeploymentsJavaLangchainLanggraphMicrosoft Azure Ai/Ml ServicesObservability ToolsPython
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
