Lead Technical Consultant

Alphanumeric Systems; United States; Remote; USD 116,000 - 120,000; Full time

Job summary

Alphanumeric is seeking a Lead Technical Consultant to work from the Research Triangle Park, NC area on a client engagement spanning biomedical and data platforms. The role emphasizes designing, building, and operating tools and services that deliver high value to business problems, while aligning with DevOps and data engineering teams.

The candidate should be technically strong, proactive in proposing solutions, and capable of backlog development and end-to-end delivery within a

Qualifications

• 5+ years of relevant experience.
• Degree in Computer Science/Software Engineering.
• Cloud infrastructure development, preferably Google Cloud.
• Strong software engineering with Python.

Responsibilities

• Design, build, and operate tools and services delivering high value to business problems.
• Develop key components of a scalable research data platform for scientists and collaborators.
• Represent Alphanumeric within the wider scientific community.
• Collaborate with Infra and DevOps to modify underlying tools and enable new use cases.
• Consult users on application scalability to handle PBs of data.
• Produce well-engineered software with automated tests, documentation, and operational strategy.
• Ensure consistent platform abstractions for logging and data lineage.
• Engage in code reviews and help raise team standards.
• Provide leadership to team members to help others deliver quality work.

Skills

Cloud infrastructure development

Python programming

SDL lifecycle

5 years experience

Remote collaboration

Education

Degree in Computer Science/Software Engineering

Job description

Alphanumeric is hiring a Lead Technical Consultant to work out of the Research Triangle Park, NC area with our client of 20 years committed to improving lives through medical and pharmaceutical advancements.

Pay Range: $84.50 - $86.80

The team is looking for an experienced engineer who can contribute beyond simply executing an assigned backlog. The successful candidate should be technically strong but also capable of bringing ideas forward, helping identify solutions, contributing to backlog development, and following those ideas through delivery. The contractor will work alongside the broader team within the same sprint and backlog structure. There may also be opportunities to contribute outside the candidate's primary area when their interests and delivery priorities align.

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.

Key Responsibilities:

Our teams are building modern, cloud-native, DevOps-first systems for standardizing and templatizing biomedical and scientific data engineering for both internal and external stakeholders.

The selected candidate will be responsible for:

• Design, build, and operate tools, services, workflows, etc. that deliver high value through the solution to key business problems.
• Be responsible for development of key components of a scalable research data platform supporting scientists along with their collaborators.
• Represent Onyx within the wider scientific community across internal and external collaborations.
• Partner with Infra and DevOps team where modifications to underlying tools, e.g. infrastructure as code, Cloud Ops, DevOps, logging/alerting, are needed to serve new use cases and to ensure operations are planned.
• Consult scientific users on application scalability to PBs of data by having a deep understanding of software engineering, algorithms, and underlying hardware infrastructure and their impact on performance.
• Produce well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy.
• Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage.
• Be fully versed in coding best practices and ways of working, and participate in code reviews and partnering to improve the team's standards.
• Provide leadership to team members to help others get the job done right.

Top Skills:

• Cloud infrastructure development, with Google Cloud preferred.
• Software engineering, with Python preferred.
• Strong understanding of the software development lifecycle (SDL).
• Approximately 5 years of relevant experience.
• Ability to work independently while collaborating effectively with a remote team.
• Ability to contribute ideas and problem-solving rather than functioning solely as a task executor.

Minimum Experience:

Degree + 5 years experience.

Minimum Education:

Degree in Computer Science/Software Engineering.