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Senior Software Engineer (Backend) - AI/ML
ClickHouse · Australia
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What ClickHouse asks for
From ClickHouse's Senior Software Engineer (Backend) - AI/ML ad, checked 2 Nov 2026.
Python or TypeScript API design
At least 5 years of software engineering experience, specifically focusing on backend development using TypeScript or Python to create service architectures and robust APIs.
AI/ML model integration
Experience putting AI/ML models into production systems, including the use of inference APIs, vector databases, and tools for monitoring and observability.
Full stack feature ownership
Taking ownership of AI-powered features from the initial concept through to production, including both backend inference and frontend interfaces.
Developer tools and SDKs
Creating SDKs, documentation, and tools that help other developers use specific technical capabilities.
Cloud platforms and data pipelines
Familiarity with data processing pipelines and major cloud providers such as AWS, Azure, or GCP, with a preference for ClickHouse experience.
The ad asks for 5 or more years of software engineering experience in production environments and exposure to working with AI/ML technologies. Listed in Australia.
How the example answers the ad
Four of the five requirements above, each matched to a line in the example.
Python or TypeScript API design
“Led the migration of legacy REST APIs to a type-safe TypeScript service architecture for improved maintainability.”
Leading a migration to a type-safe TypeScript service architecture addresses the backend API architecture requirement. This work at Stripe contributes to the six years of experience mentioned in the summary.
Full stack feature ownership
“Owned the full stack integration of an AI observability dashboard utilized by 40 internal product teams.”
Owning the full stack integration of this dashboard at Datadog shows feature ownership from backend monitoring components to the interface used by 40 teams.
AI/ML model integration
“Built custom monitoring tooling that tracked model drift in search ranking algorithms.”
Creating these tools for search algorithms shows experience with monitoring and observability for AI and ML models in a production environment.
Developer tools and SDKs
“Authored internal Python SDKs that reduced integration time for downstream services by 60 percent.”
Authoring these Python SDKs demonstrates the creation of developer tools that help others use technical capabilities, as evidenced by the 60 percent reduction in time for other services.
The whole example as text
Liam Murphy · Senior AI Software Engineer
Summary
Senior AI/ML software engineer with 6 years of experience building scalable backend systems and intelligent data products. Integrates generative models into production environments while managing high-throughput data streams with ClickHouse. Designs developer-focused SDKs to streamline cross-team consumption of shared model inference services. Owns the full lifecycle of AI features from architectural inception to deployment and observability monitoring.
Experience
Senior AI Software Engineer · Datadog
Austin, TX · 2025 - Present
- Engineered a high-performance vector search service using ClickHouse to support sub-millisecond retrieval of embeddings.
- Scaled an LLM inference API to serve 1500 requests per second with a 99th percentile latency under 200 milliseconds.
- Owned the full stack integration of an AI observability dashboard utilized by 40 internal product teams.
- Authored internal Python SDKs that reduced integration time for downstream services by 60 percent.
- Reduced cloud infrastructure costs by 35 percent through optimized GPU allocation and caching strategies.
Software Engineer II · Stripe
San Francisco, CA · 2023 - 2024
- Architected a scalable data pipeline using Kafka and ClickHouse for real-time financial signal processing.
- Deployed fine-tuned models for fraud detection that improved classification accuracy by 12 percent.
- Developed a library for automated model deployment, enabling teams to push updates to production daily.
- Led the migration of legacy REST APIs to a type-safe TypeScript service architecture for improved maintainability.
- Mentored four junior engineers on best practices for backend testing and CI/CD automation.
Backend Engineer · Instacart
San Francisco, CA · 2021 - 2022
- Designed and maintained Python backend services supporting 500k concurrent active shoppers.
- Built custom monitoring tooling that tracked model drift in search ranking algorithms.
- Optimized database queries for customer analytics, decreasing read latency by 40 percent.
- Collaborated with data science teams to productionalize recommendation engine models.
- Documented API standards that served as the primary reference for 20+ microservices.
Software Engineering Intern · PayPal
San Jose, CA · 2020 - 2021
- Contributed to the core transaction processing platform using Java and Spring Boot.
- Implemented automated unit testing suites that increased code coverage by 25 percent.
- Assisted in the refactoring of legacy components to improve system modularity.
- Participated in agile ceremonies and cross-functional code reviews.
- Identified and resolved three critical memory leak issues within existing data processing tasks.
Education
Master of Science in Computer Science · Georgia Institute of Technology
Atlanta, GA · 2018 - 2020
- Specialized in machine learning systems and distributed computing architectures.
- Completed thesis on optimized inference pipelines for transformer-based language models.
- Maintained a 3.95 GPA throughout graduate coursework.
Bachelor of Science in Software Engineering · University of Texas at Austin
Austin, TX · 2014 - 2018
- Awarded Dean's List honors for four consecutive semesters.
- Developed a custom data visualization framework for senior capstone project.
- Served as a teaching assistant for advanced data structures and algorithms.
Skills
Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
Is this role remote?
Yes. ClickHouse describes itself as a globally distributed and remote-friendly company, operating in over 25 countries.
What is the oncall requirement?
You will be part of a daytime oncall rotation with the rest of your team.
Where do I apply?
On the official ClickHouse posting, through the job link on this page.
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