Architect

As an Architect, you will work across product lines, engineering squads, and platform teams to drive architectural decisions, ensure technical excellence, and solve complex business challenges through simple, scalable, and secure solutions. We need someone who doesn't wait for permission to innovate—someone who sees problems as opportunities and actively seeks out ways to drive meaningful change.

Education: Minimum bachelor’s degree in computer science and engineering or related field of study, or equivalent experience

Key Responsibilities

This is not a role for an "ivory tower" architect. You will be a hands-on leader, a mentor, and a force multiplier for our entire engineering organization. You will:

• Design and architect end-to-end solutions across systems with scalability, security, and performance in mind.
• Be hands-on when needed: build proof-of-concepts, debug live issues, and review code and design.
• Drive our AI Strategy: You will be instrumental in shaping our AI approach, building and implementing solutions such as chatbots, AI-powered search, and other initiatives, while working closely with the Data Science and Data Engineering teams to deliver products that provide unparalleled insights to our clients.
• Evaluate and recommend tech stacks agnostically based on problem-fit, not hype.
• Partner with engineering leads and product managers to define architecture roadmaps, solution patterns, and best practices.
• Act as a technical mentor and problem-solver, bringing clarity and pragmatic solutions under ambiguity. Provide technical leadership and guidance to software development teams.
• Monitor system performance and make necessary adjustments to optimize efficiency.
• Drive non-functional requirements like observability, address vulnerabilities, disaster recovery, and high availability across platforms.
• Create and maintain clear technical documentation and communicate trade-offs with stakeholders.
• Challenge the status quo and influence engineering culture with Norstella’s core values.

Qualifications

Technical Expertise

• Proficiency in cloud platforms (AWS, Azure) for deploying scalable solutions.
• Fluent in at least two programming languages (e.g., Node.js, Java, Python, C#).
• Good with frontend stacks like React, Next.js, Micro frontends
• Strong foundation in design patterns, system design, and distributed architecture.
• Advanced SQL skills for optimizing queries across distributed databases.
• Experience with big data tools (Spark, Hadoop) and containerization technologies (Docker, Kubernetes).
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and MLOps pipelines.

Domain Knowledge

• Good to have experience in the Life Science Industry.