Software Engineer (Data Platform)

Location: Remote, Poland

Base salary: 200,000–250,000 PLN annually; performance-based bonus and equity options may also be available.

Company

hirify.global provides a real-time Customer Data Platform that helps organizations unify customer data for personalized, privacy-conscious experiences and enterprise AI strategies.

What you will do

• Design, develop, test, and maintain scalable, high-performance data applications and services.
• Build data services for storing, processing, and securely retiring large volumes of customer event data within the Universal Data Hub.
• Collaborate with software engineers, architects, DevOps, Product Managers, and platform teams to deliver reliable solutions.
• Participate in Agile/Scrum planning, estimation, continuous improvement, architecture discussions, test planning, and operational excellence initiatives.
• Conduct peer code reviews and apply coding standards and software engineering best practices.
• Learn and apply new technologies and design approaches to improve performance, scalability, reliability, data quality, privacy, and governance.

Requirements

• 3+ years of development experience with Java, Python, or Scala using modern frameworks.
• Solid knowledge of modern software engineering principles, patterns, and best practices.
• Understanding of microservices architecture.
• Hands-on experience with NoSQL and/or relational databases, such as DynamoDB, PostgreSQL, MySQL, Redshift, Redis, or Cassandra.
• Experience deploying software on cloud platforms such as AWS, GCP, or Azure.
• Strong communication skills, including the ability to explain technical concepts clearly to teammates, and a genuine desire to learn new technologies.

Nice to have

• Hands-on experience building data processing pipelines, ideally with Apache Spark on AWS or Databricks.
• Exposure to high-traffic, highly available systems.
• Exposure to distributed messaging and streaming technologies such as RabbitMQ, Kinesis, or Kafka.
• Familiarity with DevOps concepts and tools including Docker, Kubernetes, Serverless, or Terraform.
• Experience with or strong interest in applied AI/GenAI, including LLMs, retrieval-augmented generation, prompt engineering, or agent tooling using Model Context Protocol.

Culture & Benefits

• Remote-first working with new-hire stipends for home-office equipment.
• Paid time off, extended paid parental leave, and company holidays.
• Health and wellness programs and market-competitive benefits.
• Annual paid volunteer time of 15 hours.
• Equity grants and professional development through on-demand courses and leadership programs.
• Commitment to diversity, inclusion, belonging, and respectful collaboration.