Full Stack Engineer
11 hours ago
Growth Signals helps companies turn great research into real results. Our platform uses Generative AI to connect R&D with practical, revenue-focused outcomes, making it easy for teams to work together, learn faster, and move new ideas into development. We give researchers and innovation teams a clear path to drive impact, and leaders the insight they need to plan for what’s next.
About the RoleGrowth Signals is seeking a skilled and adaptable Full Stack Engineer to join our dynamic team. Reporting to the Head of Engineering, this role will involve end-to-end development across our technology stack, working on both front-end and back-end systems. You’ll contribute to the design, development, and deployment of our product, gaining exposure to a wide array of technologies and making a meaningful impact on the future of our platform. This role is perfect for someone who thrives in a fast-paced environment, values clean code, and is excited to build.
Responsibilities- Develop and maintain front-end and back-end features for Growth Signals’ web applications.
- Work closely with product managers and designers to translate user requirements into innovative solutions.
- Collaborate with a distributed team to deliver high-quality, reliable software on time.
- Write clean, efficient, and well-documented code with a focus on maintainability.
- Implement and improve unit tests, integration tests, and CI/CD workflows to ensure product stability.
- Contribute to discussions on architectural decisions and tech stack evolution.
- Monitor and improve application performance, reliability, and scalability.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 3-5 years of experience as a Full Stack Engineer, or equivalent roles.
- Excellent communication skills (written, verbal and remote).
- Strong knowledge of front-end frameworks such as React, Angular, or Vue.
- Proficiency with back-end frameworks, preferably in Python (e.g., FastAPI, Flask).
- Experience with database systems, both relational (e.g., Postgres) and NoSQL (e.g., MongoDB).
- Familiarity with cloud environments (e.g. Azure, AWS, Google).
- Understanding of DevOps fundamentals, including containerization (e.g. Docker), CI/CD workflows, and Infrastructure as Code (Pulumi, Terraform).
- Experience with large language model APIs (e.g., OpenAI, Anthropic) and integrating AI-driven features.
- Familiarity with modern design patterns for building scalable and resilient applications.
- Experience with serverless technologies (e.g., AWS Lambda, Google Cloud Functions).
- Knowledge of retrieval-augmented generation (RAG) systems and tools (e.g., Pinecone, Weaviate).
- Demonstrated ability to work in a fast-paced startup environment with a high level of independence and responsibility.
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