FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating systems for lab automation and scientific workflows, with a strong focus on Python programming, API design, and integration of laboratory instruments. Proven ability to collaborate with cross-functional teams and ensure security and compliance in data handling.
Highest-signal resume keywords
Python ProgrammingAPI DesignLab AutomationDistributed Systems IntegrationInfrastructure as Code
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Services DevelopmentData ModelsExperiment RequestsHigh-Throughput ExperimentationWorkflow OrchestrationSecurity PracticesMonitoring and AlertingContainerized ServicesCI/CD PracticesRobotic Platforms
Soft Skills
CollaborationClear Communication
Tools & Technologies
TerraformDagsterFlytePrefectLIMSELNCloud InfrastructureMessage QueuesEvent-Driven ArchitecturesObservability Tooling
Industry Keywords
Materials ScienceChemistryChemical EngineeringSelf-Driving LabsScientific Discovery WorkflowsExperimental Lab ExperiencePartner IP HandlingConfidential Data Management
Tech Stack
Tools & technologiesCloudDistributed SystemsPythonTerraform
About the role
Key responsibilities & impact- Build and operate systems connecting CuspAI’s AI platform to physical partner laboratories around the world
- Design, build, and operate services that send experiment requests from AI agents and return laboratory results reliably
- Build APIs and data models for bidirectional lab-to-cloud data exchange
- Integrate lab instruments, robotic platforms, LIMS/ELN systems, and scheduling software
- Translate disparate laboratory formats into CuspAI’s data platform
- Improve integration reliability at scale through idempotency, retries, queueing, monitoring, and alerting
- Assist with technical onboarding of new laboratory partners and assess their systems
- Collaborate with materials scientists, optimisation experts, and engineers to co-design workflows
- Deploy and operate containerised services on cloud infrastructure
- Use testing and CI/CD as standard engineering practices
Requirements
What you’ll need- Hands-on experience with lab automation, self-driving labs, or scientific discovery workflows, including instrument control, robotic platforms, or high-throughput experimentation data pipelines
- Strong software engineering background with production experience building and operating backend services
- Deep fluency in Python, including typed, well-tested code and API design
- Experience designing distributed systems integrating with external parties, including APIs, message queues or event-driven architectures, and data contracts
- Solid understanding of security practices for externally facing systems
- Ability to collaborate and communicate clearly with experimental scientists, optimisation experts, and engineers
- Experimental lab experience in materials science, chemistry, or chemical engineering
- Experience with workflow orchestration such as Dagster, Flyte, or Prefect, or active learning loops
- Experience with infrastructure as code such as Terraform and observability tooling
- Security or compliance experience, or experience handling partner IP and confidential data
- Experience working across distributed teams and multiple time zones
Benefits
Comp & perks- Equity in CuspAI
- 28 days holiday in Germany, the Netherlands, and the UK, or 21 days holiday in Japan, Singapore, and the US, in addition to local public holidays
- 26 weeks of parental leave for primary caregivers at full pay
- 12 weeks of parental leave for secondary caregivers at full pay
- Professional development budget
- Work on meaningful materials science, sustainability, and climate-related problems
- True interdisciplinary teamwork with world-class researchers and engineers
- Interview-process adjustments available where reasonably accommodated