Senior Solana Python Engineer
#удаленка #senior #foreign
Company: X.place
Salary: $48k - $72k
☑️This role is for you if:
-You see programming as creativity, not just writing lines of code
-You want to design architecture, not just “close tasks”
-You enjoy solving complex problems in real production
-You value code that is fast, clean, and scalable
-You want to work with a team that is truly pushing Web3 forward

☑️ What we expect:
-5+ years of commercial Python development
-3+ years of experience with Django / Django REST Framework
-Experience with WebSockets / Django Channels
-Strong knowledge of PostgreSQL, Redis, Celery
Integration experience with Solana RPC, Helius API, Jupiter API, Birdeye API, and other Solana APIs
-Experience designing architecture, fixing tough bugs, building new features
-Confident use of Docker, CI/CD, AWS or GCP
-Ability to collaborate effectively with frontend developers (SPA, WebSockets, API integration)

☑️ What you’ll do:
-Develop and maintain the X.place backend and API
-Build WebSockets and real-time systems for the social trading feed
-Integrate with Helius API, Jupiter API, Birdeye API, and other services
-Design architecture to scale to tens of thousands of users
-Optimize database queries and external API calls
-Ensure system stability, performance, and fault tolerance
-Work on new features for copy trading and sniping
-Collaborate closely with frontend developers
Contact: https://applicantai.com/x-place/senior-solana-python-engineer/9280

🔥 Подписаться на наши каналы / @best_itjob / @it_rab

Data Engineer
#удаленка #foreign
Company: Nansen
Salary: $90k - $115k estimated
🔹What You'll Do:
-Collaborate closely with crypto researchers, other engineers, and product managers to shape how data is modeled, surfaced, and productized.
-Tackle large-scale data challenges, processing terabytes of streaming and batch data daily.
-Design, build, and scale performant data pipelines and infrastructure, primarily using ClickHouse and dbt.
-Ensure high standards for data quality, reliability, and observability across all systems.
-Bring fresh thinking to the table, staying current with best practices and evolving your toolkit over time.
-Use AI tools and Agents such as Cursor, MCPs and LLMs to accelerate development, automate repetitive work, and boost quality.

🔹What We're Looking For:
-A proven track record of building and scaling high-performance data systems in production.
-Expertise in SQL and Python, with hands-on experience using dbt, ClickHouse, and BigQuery.
-Strong grasp of streaming data architectures and experience handling large-scale data volumes.
-Comfortable working full-stack with data, from ingestion and transformation to storage, modeling, and serving.
-Experience using AI-powered tools in day-to-day development and a natural curiosity to push boundaries with them.
-Excellent written and verbal communication skills. You’re confident working in a remote-first, async team.
-A pragmatic, execution-oriented mindset. You value fast feedback loops, clean architecture, and scalable design.
-Experience with, or strong interest in, blockchain data structures, crypto, and Web3 technologies.
Contact: https://job-boards.greenhouse.io/nansen/jobs/5614418004

🔥 Подписаться на наши каналы / @best_itjob / @it_rab