Python Engineer

3 days ago


Budapest, Czech Republic SEON Technologies Full time
  • Strong expertise in Python, including RESTful API design.
  • Advanced knowledge of networking concepts, proxies, and system architecture.
  • Proven experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes).
  • Ability to identify, design, and implement scalable and maintainable solutions.
  • Excellent problem-solving skills and a proactive approach to addressing technical challenges.
  • Strong collaboration skills, with experience mentoring and supporting other engineers.
  • Fluent in English (written and verbal).

Nice to have: 

  • Experience with monitoring tools (e.g., Kibana) and CI/CD workflows (e.g., GitHub Actions).
  • Familiarity with AWS services, including DynamoDB, Lambda, and Auto Scaling Groups.
  • Knowledge of additional technologies and platforms, such as: ElasticSearch, Redis, ArgoCD

SEON is the leading fraud prevention system of record, catching fraud before it happens at any point across the customer journey. Trusted by over 5,000 global companies, we combine your company’s data with our proprietary real-time signals to deliver actionable fraud insights tailored to your business outcomes. We deliver the fastest time to value in the market through a single API call, enabling quick and seamless onboarding and integration. By analyzing billions of transactions, we’ve prevented $200 billion in fraudulent activities, showcasing why the world’s most innovative companies choose SEON. 

As a Python Engineer, you will be pivotal in designing, developing, and optimizing backend services for SEON’s Data Enrichment product area. You will bridge the gap between foundational engineering contributions and senior technical leadership, driving system improvements, mentoring team members, and delivering reliable and scalable systems integral to SEON’s fraud prevention solutions. 

This role will report to the Software Engineering Team Lead and offer flexibility in our Budapest office under a hybrid work schedule. 

What we offer: 

  • Employee stock ownership plan (ESOP)
  • Hybrid working environment (3 days in the office per week)
  • Flexible hours
  • Generous Holiday allowance
  • Access to significant opportunities for learning and development
  • Private health insurance, including dependants (inc. employee assistance & mental health support)
  • Complimentary weekly language courses
  • Enhanced Parental leave
  • Monthly company breakfast and weekly Lunch allowance
  • 'Work from anywhere' 60-day remote work
,[Design and implement robust backend solutions that enhance the scalability, performance, and reliability of Data Enrichment services. , Lead technical investigations and resolve complex issues affecting system performance or reliability. , Contribute to reducing technical debt and improving operational efficiency by implementing technical best practices. , Work with other teams to design and implement cross-team solutions and integrations. , Act as a mentor to junior and mid-level engineers, providing technical guidance and fostering professional growth. , Actively participate in technical design discussions, helping shape the team’s technical roadmap. , Collaborate with the Engineering Manager to align technical efforts with team and business goals. , Proactively share knowledge and encourage best practices within the team. , Improve monitoring systems and enhance system observability to ensure high availability and reliability. , Proactively identify system bottlenecks and inefficiencies, recommending and implementing solutions. , Support the automation of recovery processes to minimize downtime and error resolution time. ] Requirements: Python, RESTful API design, Networking concepts, Proxies, System architecture, Cloud platform, Containerization technologies, Monitoring tools, CI/CD workflows, AWS services, DynamoDB, Lambda, Auto Scaling Groups, Elasticsearch, Redis, ArgoCD Tools: GitLab, GitHub, Agile, Scrum. Additionally: Training budget, Private healthcare, Small teams, Lunch card, Employee referral bonus, Employee stock purchase plan, International projects, Mental Health Support, Eye Care, Wellness Days, Parental Leave, Language classes, Home office, Flexible hours, Free coffee, Free snacks, Free beverages, Free lunch, In-house trainings, Modern office, Startup atmosphere, Free breakfast.

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