Backend & Data Software Engineer - LinkedIn Marketing Solutions

Description: LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
Location: Tel Aviv, Israel
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, the team works from the TLV LinkedIn office 3 days a week, and the other 2 days depending on what’s best for you.
Role Description:
LinkedIn’s Marketing Solutions (LMS) business has experienced accelerated growth, topping $5B in annual revenue. LMS products impact how businesses and brands sell, buy, advertise, and connect globally. We are looking for a Software Engineer in the areas of Backend and Data, who will work on building and optimizing large-scale data processing systems. You will collaborate with cross-functional teams to design and implement robust data pipelines and batch applications. This role offers the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions in the field of big data and AI.
Key Responsibilities:
Design and develop scalable backend systems and data pipelines.
Implement batch processing and streaming solutions using technologies like Spark and Kafka.
Communicate and collaborates within the team and with partners, organizing and actively engaging to gain alignment.
Ensure the reliability and performance of data systems through effective monitoring and observability practices.
Mentor other team members
Basic Qualifications:
3+ years of hands-on industry experience in Backend engineering
3+ years experience in Java and Scala; knowledge of Python is a plus.
3+ Experience with system design, architecture, and working with large-scale data.
BA/BSC Degree in Computer Science or related technical discipline.
Preferred Qualifications:
5+ years of hands-on industry experience in backend engineering
Strong understanding of Functional programming.
Experienced with software engineering best practices and keen on automation (e.g. unit testing, code reviews, design documentation).
Experience with public cloud platforms and working with various databases (SQL, NoSQL, key-value stores).
Technical expertise with data models, data analytics and processing.
Familiarity with observability and monitoring tools such as Grafana, Prometheus, and Graphite.
Familiarity with data governance and data quality best practices
Experience with AI/ML technologies
A team player with excellent communication skills, independent learning capability and curiosity to explore new fields and achieve constant improvement
Previous experience in enterprise level companies is a plus
Suggested Skills:
Technical leadership and mentoring
Data pipelines and ETL processes (e.g., Airflow)
Streaming technologies (e.g., Kafka)