Senior Software Engineer

12 hours ago


Prague, Hlavní město Praha, Czech Republic Bloomreach Full time 60,000 - 120,000 per year

Join our Business Intelligence team as a full-time Senior Software Engineer. We offer remote work in Central & Eastern Europe, with optional office space in Bratislava, Brno, or Prague. Your engineering manager, Peter Phanvan, is happy to answer any questions, so feel free to hit him up.

What challenge awaits you?

Prepare to dive into the exciting world of data-driven insights. You will build and maintain components that empower our clients to make smart business decisions. This involves turning complex data into actionable insights, creating intuitive user experiences, and integrating cutting-edge AI technologies.

You will collaborate closely with engineering teams, data scientists, and product managers to ensure seamless integration of our business intelligence features with the rest of our platform, fostering a culture of collaboration and innovation. This role offers a unique opportunity to combine your technical expertise with a passion for data storytelling and a desire to empower businesses with data-driven insights.

Feature Design & Delivery

You will translate business requirements into technical specifications, design and implement APIs for data access and manipulation, and integrate GenAI / LLM models as backend services. You will collaborate with product designers and front-end engineers on API design and data structures.

Quality & Performance Assurance

Developing comprehensive unit and integration tests is part of this. You'll implement robust logging and monitoring for key performance indicators, and perform code reviews in conjunction with QA engineers.

Component Support & Maintenance

Expect to provide L3 support for client inquiries and troubleshoot backend issues. You will also implement bug fixes and performance enhancements, and document codebase and processes for maintainability and collaboration.

What tech stack and products do we offer?

  • Python
  • Google Kubernetes Engine
  • BigQuery
  • MongoDB, Redis
  • Grafana, Sentry, Gitlab, Jira, PagerDuty

We leverage advanced analytical techniques, including predictive modelling, trend analysis, and anomaly detection, to create impactful features. We are also exploring the integration of AI technologies like natural language processing and machine learning for anomaly detection to further enhance our platform. Experience with data mining, statistical modelling, data visualization, and AI technologies would be highly valuable for building and maintaining these features.

What do we expect from you?

We're looking for someone with the right professional experience and personal qualities to collaborate effectively and contribute to our team's success.

Professional experience

  • Proven experience in Python engineering: Strong Python skills are essential for building our data-driven features. Experience with data processing, data structures, and algorithms is key.
  • Solid understanding of software architecture principles: Building scalable and reliable features for our platform requires a solid understanding of software architecture principles, especially in the context of APIs and microservices for data access and manipulation.
  • Experience with version control systems (e.g., Git) and CI/CD pipelines: We utilize Git for code management and CI/CD pipelines for efficient development and deployment. Experience with these tools will streamline your workflow.
  • Familiarity with common data analysis and ML frameworks: While we are not strictly an ML team, we are exploring the integration of AI and machine learning.

Personal qualities

  • Demonstrates strong initiative and a proactive approach to problem-solving.
  • Excellent communication and collaboration skills, with the ability to work effectively within a team.
  • A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
  • A commitment to delivering high-quality work and a dedication to continuous improvement.

Your success story will be

  • In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
  • In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
  • In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

#LI-KP1



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