Responsibilities
- Lead Projects: Plan, schedule, and deliver software projects on time and at the highest quality.
- Build Teams: Manage and mentor developers, fostering collaboration and high performance.
- Drive Strategy: Make key decisions on backend architecture, scalability, and infrastructure.
- Collaborate Cross-Functionally: Align software, product, engineering, and department goals for seamless execution.
- Optimize Processes: Streamline workflows, solve technical challenges, and improve productivity.
- Oversee Deployments: Ensure smooth, efficient deployments and system performance.
Requirements
- 8+ years in backend development specializing in scalable system design, API architecture (DDD), and microservices (gRPC, REST), with expertise in databases (Postgres, MongoDB, Redis, Clickhouse) and cloud infrastructure (AWS).
- Proficient in TypeScript and Golang, with extensive testing experience (unit, end-to-end, and load testing using Cypress, Playwright, k6).
- Skilled in containerization (Docker, Kubernetes) and DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and system monitoring (Datadog, Grafana).
- Experienced in developing and optimizing LLM applications, including Retrieval-Augmented Generation (RAG) and GPT-based solutions, with strong knowledge of deployment patterns, prompt engineering, and API integration (OpenAI, Anthropic, Gemini).
- Proficient in ML frameworks (PyTorch), optimization techniques (quantization, model distillation), and vector databases (pgvector, Weaviate, Pinecone).
- Experienced with LLM inference stacks (TensorRT-LLM, VLLM, llama.cpp) and developing RAG systems.
- Proven ability to hire, mentor, and lead high-performing technical teams while setting technical direction and delivering impactful backend projects.
- Strong track record of leading full development lifecycles, managing issue tracking (Linear), and delivering complex backend systems on time.
- Strong problem-solving and analytical skills, with excellent communication to foster cross-functional collaboration and stakeholder alignment.
- Experience in startups or high-growth environments, with deep expertise in system optimization tools and processes.
- Bachelor's degree in Computer Science or Engineering.
Top Skills
What We Do
Tractian is a machine intelligence company that offers industrial monitoring systems. Tractian builds streamlined hardware-software solutions to give maintenance technicians and industrial decision-makers comprehensive oversight of their operations. It is democratizing access to sophisticated real-time monitoring and asset operations tools.
Tractian's solutions are used in environments that address a combined total of 5% of global industrial output. The company’s broad market reach is evidenced in its customer base from various industries, such as John Deere, Procter & Gamble, Caterpillar, Goodyear, Carrier, Johnson Controls, and Bimbo, the owner of the brands Little Bites and Thomas Bagels. Tractian's customers see a 6-12x ROI with savings of $6,000 per monitored machine annually on average.
In a major milestone and a first for the industry, Tractian launched the AI-Assisted Maintenance category in the industrial sector. In this new paradigm, artificial intelligence identifies machine problems and suggests preventive actions to be taken, giving invaluable insight and support to maintenance professionals. It is important to highlight that the intent of Assisted Maintenance is firmly rooted in augmenting maintenance professionals to provide more assertive diagnosis with human-in-the-loop feedback.
Tractian's mission is to elevate this category of workers in a highly impactful way. The Assisted Maintenance category will provide unimaginable support for maintenance professionals. By combining shop floor expertise with our technology, maintainers will be able to anticipate and address issues with unprecedented accuracy and speed
