Fullstack Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 17h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 8d ago
The date the source published, not the day we noticed it (2026-09-23). Last seen at its source 5h ago.
We have tracked this listing since 23 Sep 2026 (8 days). The employer's own board has carried it every time we have read it, most recently 5 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India, Colombia, Mexico, Romania, Hungary, Slovakia
The listing is tagged as above, but its own description restricts the role to Germany. We show both rather than picking one. Read the ad before applying.
What the ad says
…Location: On-site in Berlin, Germany Job Summary We are seeking a high…
Pay not stated
Similar roles pay $6,438–7,250/mo
Middle 50% of 8 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 8d ago · last seen 5h ago
The listing
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and HealthTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
About the Company
A fast-growing, post-revenue AI startup is building an AI-powered SAP Consultant platform for enterprise customers. The company works with DAX 40 and Fortune 500 clients
Job Type: Full-time
Location: On-site in Berlin, Germany
Job Summary
We are seeking a high-caliber Fullstack Engineer to join a fast-moving team dedicated to building production-grade applications from the ground up. This is a role for a true builder—someone who thrives on end-to-end ownership, from translating broad business requirements into technical architecture to deploying and monitoring robust systems. If you are a self-directed engineer who balances speed with architectural integrity and enjoys the challenge of integrating AI and complex data pipelines, this is the place for you.
Key Responsibilities
- Architect, build, and maintain complete web applications and backend services from concept through to production.
- Design and implement responsive frontend interfaces, complex user flows, and internal dashboards.
- Develop and manage APIs, background workers, scheduled jobs, and automated processing pipelines.
- Integrate third-party APIs, LLMs (agentic workflows, tool calling), and data-ingestion systems, including authorized scraping.
- Oversee cloud deployment, infrastructure monitoring, and CI/CD pipelines to ensure high system resilience.
- Perform load-testing and stress-testing to preemptively address bottlenecks and scaling issues.
- Maintain a focus on cost-conscious engineering, optimizing cloud, database, and AI token consumption.
Requirements
- Proven track record of end-to-end ownership, having personally built and shipped complete applications.
- Advanced proficiency in JavaScript / TypeScript and modern frontend frameworks (React, Next.js).
- Strong backend experience with Python, Node.js, or similar technologies.
- Deep understanding of relational database design (PostgreSQL) and event-driven architectures (Redis, Queues).
- Experience with major cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
- Ability to work independently in a fast-paced environment, identifying the simplest viable technical approach to solve complex problems.
- Excellent communication skills with the ability to explain technical tradeoffs and risks to non-technical stakeholders.
Nice-to-Haves
- Experience building AI-powered products or sophisticated data platforms.
- Familiarity with vector databases (Elasticsearch/OpenSearch) and NoSQL environments.
- Background in developing SaaS applications, marketplaces, or high-volume search tools.
- Experience with browser automation and large-scale data extraction
Benefits
💰 Competitive salary
🌎 Fully remote work environment
🚀 Career growth opportunities
📈 Long-term stability
🤝 Collaborative and supportive team culture