What You’ll Bring
10+ years of professional software development experience, including experience delivering production software or services.
Domain awareness of bioinformatics or computational life sciences, such as genetics, genomics, plant biology, or generative biology.
Understanding of scientific computing workflows and the challenges associated with large datasets, reproducibility, metadata, provenance, and compute resource requirements
Strong programming skills in one or more languages such as Java, Go, or Python.
Experience developing backend applications, cloud-native services, distributed-system components, data-processing applications, or workflow systems.
Ability to independently deliver well-scoped features and components, with guidance on broader technical design and prioritization.
Experience working collaboratively in an Agile or iterative software development environment.
Curiosity and willingness to learn rapidly from customers, product managers, applied scientists, and senior engineers.
Familiarity with REST APIs, source control, code review, automated testing, CI/CD, containers, and cloud services.
Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
Responsibilities
Software Development
Implement features and services from defined requirements and technical designs.
Develop maintainable code, APIs, data-processing components, integrations, and automated tests.
Debug defects and improve the performance, reliability, and usability of owned components.
Participate in code reviews and apply feedback to improve technical quality.
Customer-Focused Delivery
Support the team in understanding customer workflows, technical requirements, and feedback.
Help translate feedback into actionable engineering tasks and product improvements.
Contribute to fast, iterative delivery while maintaining engineering discipline and quality.
Learn the scientific and technical domain and identify opportunities to make solutions reusable across customers.
Reliability, Security, and Operations
Support production services as part of an on-call rotation assuring 24x7 response to service incidents.
Add monitoring, logging, and telemetry to owned components.
Assist with service troubleshooting, incident investigation, and root-cause analysis.
Follow secure-development practices and OCI standards for reliability, availability, privacy, and operational readiness.
Contribute to runbooks, support documentation, and automation for deployments, testing, and routine operations.
Preferred Qualifications
Knowledge of high-performance computing, Linux environments, batch scheduling, and resource management, particularly Slurm.
Experience supporting scientific pipelines that use CPU or GPU compute, shared or parallel storage, and large-scale data movement.
Experience with Nextflow and the Seqera platform, or other established scientific workflow systems such as Snakemake, Cromwell/WDL, or CWL-based platforms
Familiarity with common biological data formats, analysis pipelines, and the operational needs of research users.
Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform.
Experience with Kubernetes, Docker, microservices, distributed data systems, event-driven architecture, or workflow orchestration.
Exposure to data engineering, data platforms, scientific data, data pipelines, metadata management, or data governance.
Exposure to AI/ML platforms, model training, model-serving systems, RAG, evaluation harnesses, AI agents, MCP, or enterprise AI integrations.
Experience supporting scientific, research, life-sciences, or enterprise platform workloads.
