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Platform Engineer owning the reliability, scale, performance, and developer experience of core infrastructure at an AI startup. Day to day: build and run AWS infrastructure (Terraform, Kubernetes/EKS, Docker), CI/CD pipelines, observability and on-call, plus backend platform systems and internal tooling.
Lead power delivery architecture and strategy for Cerebras' wafer-scale AI hardware, defining high-current, low-voltage power and thermal solutions for AI accelerators and ASICs from concept through production. Core focus areas include DC-DC conversion, IVRs, PDN/package power design, and vertical power delivery.
Senior Product Manager owning Wrapbook's Agreement Data Platform — the union agreements, wage tables, classifications, and pay rules at the core of its entertainment-industry payroll engine. The role blends data modeling, operator admin tooling, and API contracts with 5+ years of technical PM experience in SaaS/fintech and daily AI tool usage.
Founding Engineer at Kindroid (Beautifully Incorporated) doing core full-stack engineering on the platform — frontend, backend, database, and infrastructure — including building greenfield apps, refactoring the codebase, developing AI fine-tuning pipelines, maintaining GPU clusters, and helping debug customer issues.
A remote (ANZ-based) technical pre-sales role: the Sales Engineer supports Blackpoint Cyber's MSP partners across Australia and New Zealand by leading demos, trials, technical discovery, and webinars for its threat detection and remediation products. The role demands deep knowledge of cybersecurity tooling (MDR/EDR, networking, Microsoft 365/Azure) plus ANZ security frameworks and privacy law.
Leads cloud data/AI platform operations for phData’s managed services clients, ensuring reliability, automation, and incident resolution across Snowflake, AWS/Azure, and Anthropic workloads. Focuses on cross-functional collaboration, documentation, and AI-assisted troubleshooting to deliver high-value solutions.
Senior, client-facing data engineer at a small venture-backed data & AI company: you design and ship the data platforms, scalable/secure pipelines, data models, and streaming systems the company sells, working directly with the CEO and clients. Core stack: Snowflake/BigQuery/Databricks, dbt, Kafka/Flink, AWS/GCP.
Vast is developing next-generation space stations and space infrastructure using an incremental, hardware-rich, and low-cost approach. Vast is rapidly developing its multi-module Haven Station to ensure a continuous…
Senior engineer on Spring Health's Alma Search & Matching pod, building scalable backend services and APIs that help clients find the right mental health provider, with a focus on search relevance, ranking, and performance. Core stack is Python/Django and React, with an expectation to integrate AI tools into engineering workflows. Hybrid role in San Francisco.
Data Engineer at a venture-backed healthcare AI startup in London, owning the production data infrastructure behind a healthcare intelligence platform. Day to day involves building ETL/ELT pipelines with Python and SQL, using LLMs and AI APIs for data extraction and validation, and taking projects from concept to production.
Lead Data Engineer (first senior data hire) at an AI start-up in London building an intelligent automation platform for B2C services. Day to day: design batch and real-time data pipelines, vector search and ML data infrastructure using Python, PostgreSQL/NoSQL, Kafka, Spark, and Airflow, while mentoring engineers and shaping data architecture.
Lead data engineer at an early-stage AI product company in London: you own the data architecture and technical direction, building batch and real-time pipelines plus vector search and ML data infrastructure. Core stack includes Spark, Airflow, Kafka, and Elasticsearch/OpenSearch.
Senior/Staff/Principal Data Engineer at a well-funded AI company in London that builds environments for training AI agents. You own the full lifecycle of data systems — ingesting and processing large, unstructured datasets into secure training data — from architecture through production, on a stack-agnostic platform.
Full Stack Engineer at Corgi (ApplyMint), a well-funded startup rebuilding insurance/financial infrastructure in London. Day to day you take MVPs to production-grade platform systems, build data ingestion pipelines and AI automations, and design third-party integrations, working across Python, Go, TypeScript, Next.js, and Postgres.
Senior backend engineer at Sparta, a commodity trading data platform, building and owning backend services for real-time and analytical data processing at scale. Day-to-day involves designing low-latency, high-throughput distributed systems using Kotlin, Java, Python, TypeScript on AWS/GCP with Kafka, Flink, Redis and Postgres, in a hybrid London/Barcelona/Madrid setup.
React Developer at a well-funded UK startup based near Liverpool Street (London). Day to day you write tested, clean, scalable code and add new features within cross-functional agile squads that rotate quarterly. Core stack: React, React Native, GraphQL, and AWS.
Consortia Group is hiring a React Developer to build scalable frontend features in cross-functional squads at a London startup near Liverpool Street. Day-to-day work uses React, React Native, GraphQL and AWS within a 40-person engineering team, with flexible/remote working offered.
Full stack product engineer at Maze, a well-funded startup using generative AI to solve cybersecurity problems. You own features end-to-end—React/TypeScript UI, Python/FastAPI REST APIs, and database layer—working autonomously at startup speed. Remote within Europe.
Senior Data Engineer who designs, builds, and operates CharterUP's data pipelines, models, and data products powering analytics and AI across its transportation marketplace, including leading a Redshift-to-Snowflake migration. Core stack includes SQL, Python, dbt, Airflow/Prefect, and cloud warehouses like Snowflake.
A senior sales engineer who partners with enterprise account executives to win Fortune 1000/Global 2000 deals for Vega's AI-native security analytics (SIEM-alternative) platform. Day to day: technical discovery, architecture design, demos, and proof-of-value engagements with CISOs and SOC teams, leveraging SIEM/XDR and AWS/Azure/GCP expertise.
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