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Mid-level generalist backend role with common skills yields moderate competition.
Core backend engineering skills are highly transferable across industries despite optional AI exposure.
Explicit 2–4 years plus required backend, database, and cloud skills make shortlisting strict.
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Design and enhance backend systems and AI-driven workflows, contributing to architecture decisions with senior engineers.
Maintain and optimize a scalable platform ensuring high availability, low latency, and seamless integrations.
Collaborate with founders, product managers, and customers to deliver impactful sales intelligence features within a B2B GTM data platform.
2–4 years of experience in software engineering, preferably in startups or high-growth tech companies.
Proficient in backend development with Python, Node.js, or similar languages.
Experience working with databases such as PostgreSQL or MongoDB.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Experienced in fast-paced, startup-like environments that require adaptability and ownership.
Technical competence in backend engineering combined with practical knowledge of AI or low-code automation tools.
Comfortable navigating ambiguity and contributing to evolving technical culture and product features.