Backend Software Engineer- 2938
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Before you apply
LocationHerzliya
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentR&D
Company size1,001–5,000 people
PostedOct 17, 2026 · 2w ago
Verified live6h ago
At a glanceSummarised by Seekless from the posting.
3+ years of backend development experience
Strong experience in Scala, Java, Python, or a similar language
Experience with cloud platforms (AWS, GCP), data stores and warehouses (such as S3, BigQuery, Snowflake), and access permissions
Hands-on experience with Spark and Airflow, or similar big data and orchestration tools
Experience building and optimizing APIs and data-intensive services on large-scale databases (PostgreSQL preferred)
Hands-on exposure to LLMs (prompting, tool calling) and interest in building AI-powered features
B.Sc. in Computer Science or equivalent
Experience with large-scale data pipelines and streaming
Experience building LLM-based applications or agents (RAG, agent frameworks, MCP)
Experience with data lake formats (such as Parquet, Delta, Iceberg)
Recommended by an AppsFlyer employee
We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation
Skills
Scala
Python
PostgreSQL
Spark
Airflow
LLMs
MCP
Java
AWS
GCP
S3
BigQuery
Snowflake
Parquet
Delta
Iceberg
About the role
The Data Services group at AppsFlyer is looking for a talented Backend Developer to help shape our next-generation data export solutions.
Our mission is to give customers and partners a secure, reliable, and flexible way to get their data.
Our core product, DataLocker, delivers data reports on flexible schedules to stores like S3, BigQuery, and Snowflake.
The team also owns the AI Assistant, a conversational assistant built into the AppsFlyer platform, powered by LLMs, multi-agent orchestration, and MCP.
Our stack: Scala, Python, PostgreSQL, Spark, Airflow, LLMs, MCP and more.
What you’ll do
Responsibilities
•
Build and scale backend data export services and pipelines, integrating with various 3rd party vendors and data stores
•
Build and evolve the AI Assistant backend: agent orchestration, tool integrations over MCP, and secure human-in-the-loop actions on customer data
•
Own and develop products and features end-to-end, from design to production
•
Process and deliver massive data volumes reliably, efficiently, and securely
•
Collaborate with Product Managers and Software Engineers to deliver value to customers
•
Continuously learn and evaluate new technologies to adapt to ever-growing scale
Requirements
What you have
•
3+ years of backend development experience
•
Strong experience in Scala, Java, Python, or a similar language
•
Experience with cloud platforms (AWS, GCP), data stores and warehouses (such as S3, BigQuery, Snowflake), and access permissions
•
Hands-on experience with Spark and Airflow, or similar big data and orchestration tools
•
Experience building and optimizing APIs and data-intensive services on large-scale databases (PostgreSQL preferred)
•
Hands-on exposure to LLMs (prompting, tool calling) and interest in building AI-powered features
•
B.Sc. in Computer Science or equivalent
Nice to have
Bonus points
•
Experience with large-scale data pipelines and streaming
•
Experience building LLM-based applications or agents (RAG, agent frameworks, MCP)
•
Experience with data lake formats (such as Parquet, Delta, Iceberg)
•
Recommended by an AppsFlyer employee
About the company
As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.
“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO (edited)