Developer, ERP

Alphanumeric is hiring a DEVELOPER - ERP, Level 3 to work in the Research Triangle Park, NC area with our client of 20 years committed to improving lives through medical and pharmaceutical advancements.

Is this the role you are looking for If so read on for more details, and make sure to apply today.

The Onyx Research Data Platform organization represents a major investment by R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.

We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure, and DevOps, data / metadata / knowledge platforms, and AI / ML and analysis platforms, all geared toward :

• Building a next-generation data experience for scientists, engineers, and decision-makers, increasing productivity and reducing time spent on data mechanics .
• Providing best-in-class AI / ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent.
• Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time.

A Senior Engineer is a leading technical contributor who can consistently take a poorly defined business or technical problem, work it to a well-defined problem / specification, and execute on it at a high level.

They have a strong focus on metrics, both for the impact of their work and for its inner workings / operations. They are a model for the team on best practices for software development in general (and their specialization in particular), including code quality, documentation, DevOps practices, and testing, and consistently mentor junior members of the team.

They ensure the robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows.

A Senior Engineer should be deeply familiar with the tools of their specialization and of their customers and engaged with the open source community surrounding them potentially, even to the level of contributing pull requests.

Key Responsibilities :

Lead the design, development, and implementation of scalable APIs that meet the requirements of internal and external stakeholders.

Ensure APIs are secure, efficient, and user-friendly, following industry best practices and standards.

• Produces well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy.
• Diverse problem solver who surfaces opportunities to reuse modular code and develop microservices to drive efficiencies.
• Provides input into the roadmaps of teams representing upstream dependencies to help improve the overall program of work.
• Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage.
• Fully versed in coding best practices and ways of working and participates in code reviews and partnering to improve the team's standards.
• Adhere to QMS framework and CI / CD best practices and helps to guide improvements to them that improve ways of working.

Minimum Level of Education Required :

Bachelors' degree in Computer Science, Software Engineering, or related discipline - Specialized knowledge in data structures, parallel computing paradigms, software operations, etc.

Preferred Level of Education :

Masters or PhD in Computer Science, Software Engineering, or related discipline - Specialized knowledge in data structures, parallel computing paradigms, software operations, etc.

Minimum Level of Job-Related Experience :

PhD + 2 years, Masters + 4 years, Bachelors + 6 years - The incumbent should leverage deep expertise in software engineering and in their specialty area to build, test, and operate robust services and tools at scale.

Basic Qualifications :

• Google Cloud experience of 3-5 years.
• Terraform infrastructure-as-code 2-3 years.
• Application experience of CI / CD implementations using GitHub actions.
• Up-to-date knowledge of security practices, standards, and protocols related to API development.
• Deep knowledge and use of Python including toolchains for documentation, testing, and operations / observability.
• Experience with API management platforms and tools (e.g., Apigee, AWS API Gateway, Postman).
• Deep expertise in modern software development tools / ways of working (e.g. git / GitHub, DevOps tools, metrics / monitoring) with a strong track record of successfully designing and developing APIs.
• In-depth knowledge of API design principles, protocols, and tools (REST, GraphQL, Swagger, etc.).

Preferred Qualification :

• Experience architecting, building, or managing components of a metadata platform.
• Experience with event-driven architectures and implementing event hooks / triggers in API systems. Familiarity with webhooks, message queues, and pub / sub systems.

Ability to design API integrations that enable real-time data updates and notifications.

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