Backend Software Engineer

An innovative technology company that has engineered an intelligent, ML-driven platform designed to autonomously optimize cloud infrastructure environments for massive, data-intensive workloads.

Operating at the absolute intersection of cloud-native engineering, MLOps, and big data architecture, the company provides an elite R&D environment tailored for developers who thrive on high-throughput distributed systems.

The company's corporate R&D headquarters is located in Tel Aviv (exceptionally accessible, situated within a prime location directly on primary train and light rail lines) and operates on a flexible hybrid model.

Position Overview-

• Senior Cloud Backend / Infrastructure Engineer joining a core engineering division tasked with building, scaling, and maintaining the autonomous optimization engine.
• Architecting and scaling resilient server-side services primarily utilizing Python to ingest, process, and act upon multi-layered infrastructural telemetry.
• Designing and implementing cloud-native architectures that interface deeply with public cloud resource matrices.
• Collaborating closely with Data Science and MLOps teams to orchestrate, evaluate, and serve predictive models seamlessly inside a high-scale production pipeline.

Requirements-

• 6 years of proven professional software engineering experience (Mandatory).
• 2 years of direct, hands-on production experience architecting with AWS core services—specifically utilizing tools such as Lambda, DynamoDB, Kinesis, S3, ECR, EMR, or API Gateway (Mandatory).
• Strong professional development capabilities in Python, with a focus on building robust backend systems or infrastructure automation tools.
• Practical technical familiarity with big data ecosystems and processing frameworks (such as Spark, Databricks, Snowflake, Trino, Flink, or EMR).
• Proven understanding or direct experience with cloud data pipelines, production machine learning deployments, and fundamental MLOps / AIOps best practices.