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About the Role

Develop production-quality components while building depth in cloud platforms, distributed data systems, scientific workflows, and AI-enabled services. Combine strong software engineering skills with a practical understanding of bioinformatics or computational science across areas such as genomics, plant biology, or generative biology.

Responsibilities

Design, develop, test, and maintain software components for cloud platform services.
Implement backend services, APIs, data-ingestion and processing components, workflow integrations, automation, and operational tooling.
Work with other engineers and product managers to understand requirements and translate customer scenarios into well-defined software features.
Contribute to rapid iteration by investigating customer feedback, troubleshooting issues, and improving product functionality.
Write clean, maintainable, secure, and well-tested code using established OCI engineering practices.
Build unit, integration, and functional tests; participate in performance and resilience testing.
Add logging, metrics, telemetry, health checks, and alerts to improve service observability.
Help investigate, debug, and resolve service issues in development and production environments.
Participate in code reviews, design discussions, documentation, and engineering-planning activities.
Automate repeatable tasks related to deployment, configuration, testing, and service operations.
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.
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.
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.

Requirements

3+ 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.
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 architectures, 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.

Skills

Bioinformatics
Computational science
Genomics
Plant biology
Generative biology
Java
Go
Python
REST APIs
Source control
Code review
Automated testing
CI/CD
Containers
Cloud services
High-performance computing
Linux environments
Batch scheduling
Resource management
Slurm
Nextflow
Seqera platform
Snakemake
Cromwell/WDL
CWL-based platforms
Kubernetes
Docker
Microservices
Distributed data systems
Event-driven architectures
Workflow orchestration
Data engineering
Data platforms
Scientific data
Data pipelines
Metadata management
Data governance
AI/ML platforms
Model training
Model-serving systems
RAG
Evaluation harnesses
AI agents
MCP
Enterprise AI integrations

Location

London, UK
Reading, UK
Oxford, UK

Work Type

Hybrid

Experience Level

3+ years of professional software development experience

Education Level

Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.

Benefits

Flexible medical, life insurance, and retirement options
Volunteer programs

About the Company

Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care.
With AI embedded across our products and services, we help customers turn that promise into a better future for all.
Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

Equal Opportunity

We’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options.
We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process.
Oracle is an Equal Employment Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.
Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.