Backend Software Engineer jobs at Cisco in Israel, Tel Aviv-yafo

What you’ll do

• Design and implement both functional and non-functional backend features.
• Lead by example: mentor and coach junior developers.
• Drive advanced product integrations and AI-native solutions across Cisco’s product portfolio.
• Work across multiple back-end technologies: Go, Java, Node, Rust.
• Collaborate with frontend and infrastructure teams to ensure end-to-end delivery.

Must Requirements

• 5+ years of hands-on backend development experience.
• Strong knowledge of AWS and monitoring/observability tools (ELK, Splunk, Datadog).
• Experience with modern e2e/load testing frameworks such as Pact, K6 or equivalent.
• Excellent English communication skills (verbal and written) and experience working with global, cross-functional teams.

Preferred Requirements

• Experience with CI/CD pipelines and DevOps practices.
• Familiarity with frontend technologies.
• Up to date with AI tools and methodologies.
• A perpetual learner with a growth mindset.

Tel-Aviv, Israel, following a hybrid work approach

Your Impact

You will contribute to the team’s development efforts, including:
• Designing and implementing backend services and REST APIs
• Participating in cross-team development efforts and code reviews
• Writing tests and ensuring code quality
• Building scalable services using containerized environments and cloud-native architecture

Minimum Qualifications

• B.Sc. in Computer Science, Software Engineering, or a related field OR relevant experience
• 0–2 years of experience in backend development
• Solid programming skills in at least one language (Python, NodeJS, Go, etc.)
• Basic understanding of backend development principles (e.g., APIs, REST, databases)

Preferred Qualifications

• Experience with backend frameworks such as FastAPI, Express.js, or similar
• Exposure to cloud platforms like AWS
• Familiarity with Docker, Kubernetes, or CI/CD workflows
• Experience working on personal, academic, or production backend projects
• Fast learner, problem-solver, and enthusiastic team
• Good communication skills and the ability to work collaboratively in a team
• Eagerness to grow and take ownership in a production development environment

• Drive the development of sophisticated and robust logic and backend infrastructure that supports large-scale data and compute workflows.
• Collaborate across teams to design solutions that meet performance, reliability, and security requirements.
• Contribute to the automation and optimization of engineering processes, improving deployment velocity and system health.
• Participate in the full software development lifecycle, from ideation and design to deployment and monitoring.
• Help shape engineering standards, technical architecture, and operational best practices within the team.

• Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or a related field from a leading university, or equivalent experience accepted in lieu of degree.
• 2+ years of professional software engineering experience.
• Full proficiency in Python (Go – advantage).
• Experience with deploying and managing containerized applications using orchestration platforms (Kubernetes, Docker).
• Experience with cloud infrastructure platforms (AWS - advantage) and with Linux environments.

• Experience with event-driven architecture and event processing services, including streaming platforms and message brokers (Kafka, Kinesis, RabbitMQ, Redis).
• Experience in modern ETL/ELT frameworks (Airflow, Spark, dbt, Snowflake, AWS Glue) for building scalable data pipelines. • Hands-on experience with monitoring tools (Prometheus, Grafana, Datadog), observability platforms (Elasticsearch, Logstash, Kibana, Splunk), and data management systems (OpenMetadata, Datahub, Great Expectations).
• Hands-on experience in version control (Git) and CI/CD pipelines (Github Actions, Jenkins) for deploying and maintaining data infrastructure.
• Strong advantage - Familiarity with Large Language Models (LLMs) and AI/ML integration in data systems, including familiarity with vector databases model embeddings.