Backend Systems Architect
3 days ago
We are seeking a seasoned Backend Systems Architect to design and develop scalable backend systems that power our enterprise-wide data initiatives. This role is ideal for someone passionate about building robust, high-performance systems using modern development practices.
You will be instrumental in designing and developing next-generation data platforms, including backend services and APIs, ensuring performance, scalability, and security.
Key Responsibilities- Design and implement data processing solutions that integrate with various data sources.
- Develop and maintain high-quality backend services and APIs using Java Spring Boot, ensuring seamless integration with other systems.
- Build reusable libraries and config-driven data ingestion frameworks to optimize system efficiency.
- Collaborate with cross-functional teams to deliver data products and insights, driving business growth through data-driven decision making.
- Ensure compliance with data governance, security, and privacy standards using tools such as AWS Lake Formation and IAM.
- Optimize and tune ETL pipelines for performance and cost efficiency.
- Use CI/CD pipelines, observability tools, and monitoring best practices to ensure system reliability.
Core Technical Skills
- Strong experience with Java, Spring Boot, and building RESTful APIs.
- Proficient in CI/CD tools: GitHub, GitHub Actions, TeamCity, or similar.
- Experience with observability tools like Splunk, Grafana, Prometheus, or Observe.
- Familiarity with AI/ML technologies and their integration into backend or data processing systems.
- Proficient in Python, SQL, Spark, and Scala for distributed data processing.
- Strong hands-on experience with AWS Glue, Lambda, Redshift, Athena, Kinesis, and EMR.
- Experience with performance tuning, query optimization, and cost management in cloud-based data pipelines.
- Familiarity with AWS Marketplace, API Gateway, and data monetization strategies.
This is an excellent opportunity to work on cutting-edge technology stacks, collaborate with talented engineers, and drive innovation in data engineering.
What You Need to Succeed- A passion for software engineering and data processing.
- A strong foundation in computer science and programming principles.
- Excellent problem-solving skills and ability to adapt to new technologies.
- A collaborative mindset and ability to work effectively in a team.
- A commitment to continuous learning and professional growth.
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