Lead Java Engineer - IBM Sterling OMS & Sterling Intelligent Promising (SIP) at Mineral

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, RetailIndustries

Requirements

Hands-on engineer with deep technical understanding of Sterling OMS and SIP
Comfortable collaborating with both technical and functional teams — bridging configuration and customisation
Analytical and detail-oriented, with strong debugging and optimisation skills
Enthusiastic about improving automation, integration, and reliability in fulfilment systems
Able to work in complex enterprise environments, balancing speed and quality
Java (Core and Enterprise) — solid, hands-on engineering experience
XML, XSLT, JSON, SQL — for data handling, configuration, and integration
Sterling OMS — deep understanding of architecture, workflows, data models, and extensibility points
Sterling Intelligent Promising (SIP) — working knowledge of configuration, sourcing logic, and integration with OMS
Cucumber (Java) or equivalent test automation tools
CI/CD: Jenkins and GitHub Actions for automated build, test, and deployment
Version control: Git/GitHub

Responsibilities

Design, develop, and maintain custom Java components that extend IBM Sterling OMS and SIP functionality
Implement and customise workflows, sourcing rules, and fulfilment logic that determine how and where orders are fulfilled
Integrate OMS and SIP with external systems and data sources via APIs, queues, and event-driven interfaces
Enhance inventory visibility and sourcing optimisation through SIP configuration and Java-based customisation
Develop and maintain automated test frameworks (Cucumber/Java) for validation of order flows and sourcing outcomes
Support continuous integration and delivery pipelines, contributing to the migration from Jenkins to GitHub Actions
Troubleshoot performance, integration, and workflow issues within Sterling OMS and SIP environments
Collaborate with functional configuration teams to align custom code with business rules and system configuration

Skills

Java

IBM Sterling OMS

Sterling SIP

Cucumber

APIs

Queues

Event-driven interfaces

Workflows

Sourcing rules

Fulfilment logic

Automated testing

CI/CD

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

Food & Agriculture, AI & Machine LearningIndustries

51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.

Licensing model could reduce control over technology application and revenue stability.

Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.

The company partners with industry leaders like Driscoll's for real-world technology applications.

Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.

Partnerships with companies like Driscoll's enhance technology application and sustainability goals.

Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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