GOC | Python Backend Engineer (AdTech)

TL;DR

Backend Engineer (Python/AdTech): Designing, developing, and maintaining robust and scalable backend systems for marketing technologies and AI platforms with an accent on API design, database performance, and scalability. Focus on building high-performance APIs, integrating with large datasets, and ensuring system reliability within an AdTech ecosystem.

Location: Hybrid in Warsaw, Poland (2 days in office)

Salary: 6,333–12,500 PLN per month

Company

hirify.global is WPP’s global media collective, using the power of creativity to build better futures for clients and communities, with a focus on marketing technologies and AI platforms.

What you will do

• Design, develop, and implement high-performance, scalable, and resilient backend services and APIs (REST, gRPC).
• Write clean, maintainable, and efficient code in Python, adhering to best practices and design patterns.
• Collaborate with architects to define system architecture, data models, and integration strategies.
• Integrate with internal/external data sources, AI/ML services, and third-party APIs relevant to AdTech.
• Optimize existing backend services for maximum speed, scalability, and stability, handling large data volumes.
• Implement robust monitoring, logging, and alerting solutions to proactively address system issues.

Requirements

• 3+ years of professional experience in backend software development.
• Strong proficiency in Python.
• Extensive experience designing and building RESTful APIs.
• Solid understanding of database systems (PostgreSQL, MySQL, Neo4j, MongoDB, DynamoDB).
• Experience with cloud platforms (GCP) and developing cloud-native applications.
• Familiarity with containerization (Docker) and orchestration (Kubernetes), and Git.
• Experience with microservices architecture and distributed system design.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• English: B2 required for effective communication within cross-functional teams.

Nice to have

• Knowledge of message queues/event streaming platforms (e.g., Kafka, RabbitMQ, SQS/SNS).

Culture & Benefits

• Access to internal learning platforms, certifications, and training sessions.
• Life insurance, medical care, and sports card (Medicover).
• Funding for English language learning and employee mental health awareness day.
• Commitment to equal opportunities for all employees.
• Hybrid work approach with teams in the office two days a week.