Wider () | BackendData Engineer
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Job Location:
Monthly Salary:
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
On behalf of Wider () SD Solutions is looking for a strong Backend/Data Engineer with 5 years of experience to join our engineering team.
The ideal candidate is highly technical hands-on and comfortable building scalable backend systems robust data pipelines and AI-powered services. You will design and develop backend services in Python manage data infrastructure and integrate AI systems into production environments on GCP.
This role requires end-to-end ownership from system design and implementation to AI integration and production deployment.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
- Design develop and maintain scalable backend services using Python
- Build and optimize data pipelines and ETL workflows
- Design and implement REST APIs and internal service integrations
- Integrate and work with AI systems and LLM APIs
- Develop test and optimize AI prompts (Prompt Engineering required)
- Build backend services that support AI-driven features
- Architect and manage data storage solutions (SQL-based systems required)
- Work with Google Cloud Platform (GCP) services
- Utilize cloud-native services such as Cloud Run Cloud Tasks Pub/Sub and BigQuery
- Ensure high performance reliability and scalability of backend systems
- Implement monitoring logging and observability best practices
- Collaborate with product frontend and AI teams to deliver intelligent features
- Participate in system architecture discussions and long-term technical planning
Requirements:
- 5 years of experience as a Backend or Data Engineer
- Strong hands-on experience with Python
- Strong experience designing RESTful APIs
- Proven experience working with AI systems / LLM APIs
- Hands-on experience with Prompt Engineering (required)
- Solid experience with SQL databases (PostgreSQL / MySQL or similar)
- Experience with BigQuery or large-scale analytical databases
- Experience working with GCP
- Strong understanding of distributed systems and scalable architecture
- Experience designing data models and optimizing queries
- Strong ownership and accountability
- Independent and execution-focused
- Analytical and detail-oriented
- Strong problem-solving abilities
- Clear communicator
- Organized and structured in task management
Preferred Qualifications:
- Experience building AI-powered production systems
- Experience with async processing and event-driven systems
- Experience with message queues (Pub/Sub Kafka etc.)
- Experience building data pipelines and batch/stream processing systems
- Experience with Docker and CI/CD pipelines
- Familiarity with ML pipelines and AI infrastructure
- Experience working in startupa or a fast-paced environment
About the company:
Our client is a fast-growing Wider (ex. HyperAd) platform that automates creative optimization through machine learning. Their technology enables global brands to scale high-performing ads using data-driven automation backed by top-tier investors and accelerators.
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Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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