Solution Architect (GCP, BigQuery, Python, LLM/Agentic)

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gamblng / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Long Term (9+ month)

Need for some overlap with Australia timezone (only for meetings)

Project Overview

Our client is building data- and AI-driven solutions in a cloud-first environment, with a strong focus on GCP, BigQuery, and large-scale data workflows. The current work is centered around exploring and defining new solution directions, especially in voice-related use cases, where architecture decisions must balance feasibility, scalability, and production readiness.

The environment is highly collaborative and cross-functional, bringing together technical leadership, data scientists, and engineering teams to shape complex solutions from early discovery through implementation.
 

Tech Stack:

Python

GCP

BigQuery

SQL / data modeling

Large-scale data systems

LLM / agentic solution design

Streaming systems (nice to have)

Voice / call-agent environments (strong plus)

Requirements (Must-have):

- Strong experience with GCP and cloud-native architecture;

- Strong Python background;

- Deep understanding of big data, data modeling, and analytical storage systems;

- Experience designing scalable, production-oriented architectures;

- Ability to operate in ambiguous environments and translate ideas into solution options;

- Strong communication and documentation skills;

- Ability to explain trade-offs clearly and collaborate across technical streams.

Responsibilities:

- Define architecture options for new data and AI solutions

- Evaluate technical feasibility of proposed voice-agentic systems

- Design production-grade solution approaches on GCP, especially around BigQuery

- Work with large, unstructured datasets and define storage / transformation strategies

- Support solution design involving LLMs and agentic workflows

- Prepare architecture documentation and technical recommendations

- Help shape proof-of-concept direction and technical scope

- Collaborate closely with technical leadership, data scientists, and engineering teams

Nice to Have:

- Experience with LLM / agentic system design

- Experience with voice, speech, or call-agent platforms

- Experience with streaming architectures

- Experience working closely with data scientists on early-stage solution design

Hiring Process:

- Intro call

- Technical discussion (focused on real experience)

- Offer

Start: ASAP