Senior Staff Engineer supporting M3 environments at a Global Digital Product Engineering company. Responsible for resolving complex issues and ensuring business continuity.
About the role
- Senior Full-Stack Developer creating impactful features for pharma commercial teams. Collaborating on an AI-powered platform, driving planning and cross-functional development.
Responsibilities
- Actively participate in epic planning, sprint scoping, and roadmap discussions
- Own features end-to-end, from breaking down requirements with product and design through to delivery
- Work with the product team to understand product strategy and contribute engineering perspective to planning decisions
- Work directly with engineering and ML engineering teams to understand data science capabilities, cloud infrastructure, and how these components help solve end-user problems
- Own backlog prioritization and story refinement in collaboration with product and design
- Analyze, utilize, and act on data insights presented through instrumentation
- Consult with product and design on the best visualization and experience
- Facilitate inter-team and cross-functional collaboration
- Juggle between production and rapid prototyping needs in a fast-paced environment using agile software practices
- Encourage, mentor, and coach junior members of the product development team
- Assist with the setup of best practices and develop technical and product domain expertise
Requirements
- 5+ years of experience in a full stack role, with strong hands-on coding experience
- Proven experience contributing to technical planning at the epic level
- Comfortable with ambiguity
- Solid understanding of data structures, algorithms, object-oriented design, functional design, and other design principles/patterns
- Experience building APIs using at least one of the following technologies: Python, Javascript/Node.js, Java, and .Net
- Experience in React and Typescript
- Experience with RESTful APIs, third-party API integrations, and database systems (PostgreSQL, MongoDB, etc.)
- Experienced in AWS stack or an equivalent cloud platform
- Understanding of data science or data analytics is highly beneficial
- A pragmatic, delivery-oriented mindset
- Experience supporting enterprise customers with custom implementations or workflows
- Excellent communication skills; comfortable working cross-functionally with technical and non-technical stakeholders
- Adjusts quickly to changing priorities and copes effectively with complexity and ambiguity
- A continuous learner who seeks and welcomes feedback to improve yourself and your craft
- Grand vision, low ego, and able to make a big impact
Benefits
- Meaningful stock option grants
- Immediate medical/dental enrollment
- Flexible time off
- Remote-First Flexibility
- Intentional, high-value in-person collaboration and socials
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