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Python Backend Engineer
Experience & Domain Knowledge:
- Backend: Strong understanding of distributed applications and client-server model
- Financial Applications Proficiency: Experience in FinTech, Banking, or similar areas is a must
- Scalability Technologies: Knowledge about technologies that allow for platform scaling to handle sudden influxes of user activities or transactions
- High-Performance Platforms: Experience in designing, building, and optimising high-performance systems is a plus
- Security: Knowledge of potential threats and security measures for transactional data is a plus
Technical Skills:
- Python: Strong experience with Python and satellites (Flask, Requests, FastAPI, REST-Api, peewee, pandas)
- Database Mastery: Strong SQL knowledge (PostgreSQL)
- Version Control & Development Practices: Proficiency in Git Flow, Docker containerization, TDD/BDD
- Operational Proficiency: Understanding and hands-on experience in SDLC, Kubernetes, pipelines, CI/CD patterns and strategies, ongoing support (Grafana, Kibana)
- Cloud Platforms: Understanding of the Cloud Native applications principles and basic knowledge of resources and use cases for public cloud (AWS, Azure, and GCP)
- Events streaming: Understanding of the event driven architecture (Kafka or similar solutions)
Soft Skills:
- Communication: Effective communication skills, especially with teams responsible for security, operations, and product
- Analytical thinking: Ability to tackle and investigate complicated problems and convert them to the task
- Adaptability to Rapid Changes: Demonstrated capability to adjust to quick technological shifts and evolving business requirements
- Ownership and Accountability: Readiness to take ownership of tasks, and issues as well as demonstrate accountability for the results and outcome
Nice to have:
- Trading Systems: This would be a plus to have experience in developing core trading services, implementing real-time financial trading services, risk-based calculation algorithms, and designing low-latency, high-availability service
- Crypto: Understanding and practical experience of blockchain fundamentals and platforms
- Performance: Knowledge of JVM performance optimization practices
- Third-party systems: Proficiency in MetaTrader platform development and integration
What you will get in return:
- You will join a company, that cares about work and life balance
- Annual Bonus based on the performance review cycle
- Generous Annual Leave Policy
- Medical Insurance and Pension fund, with additional benefit packages based on the location
- Flexible work options: choose between a hybrid model or fully remote work across your country of employment
- Multisite Policy with 30 additional days working remotely from anywhere in the world
- Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts
Is Kubernetes high demand?
Yes, Kubernetes is currently in high demand in the technology industry
Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications
It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility
As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure
Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce
According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace
In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies
Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.