Backend Software Engineer

Posted 3 Days Ago
Be an Early Applicant
Herzliya, ISR
In-Office
Mid level
AdTech • Marketing Tech
The Role
Build and scale backend data export services, data pipelines, and AI Assistant capabilities. Develop agent orchestration, MCP tool integrations, secure customer-data workflows, APIs, and large-scale data services. Own features from design through production, process massive data volumes, integrate cloud data stores and vendors, and collaborate with product and engineering teams.
Summary Generated by Built In
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
  • 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
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
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

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) 

Skills Required

  • 3+ years of backend development experience
  • Strong experience with Scala, Java, Python, or a similar programming language
  • Experience with cloud platforms such as AWS or GCP
  • Experience with data stores and warehouses such as S3, BigQuery, and Snowflake
  • Experience with 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
  • Experience with PostgreSQL
  • Hands-on exposure to LLMs, including prompting and tool calling
  • B.Sc. in Computer Science or equivalent
  • Experience with large-scale data pipelines and streaming
  • Experience building LLM-based applications or agents, including RAG, agent frameworks, or MCP
  • Experience with data lake formats such as Parquet, Delta, or Iceberg
  • Recommendation by an AppsFlyer employee

AppsFlyer Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AppsFlyer and has not been reviewed or approved by AppsFlyer.

  • Wellbeing & Lifestyle Benefits — Wellbeing support is positioned as a meaningful part of the rewards package, including private health insurance and wellness offerings like fitness classes. Additional extras such as events, work‑from‑home support, and global mobility opportunities are portrayed as adding tangible value beyond cash compensation.
  • Equity Value & Accessibility — Equity is framed as broadly accessible, with stock options described as available to all employees. This expands the total rewards mix and can make overall compensation feel stronger even when salary alone is debated.
  • Strong & Reliable Incentives — Total compensation in certain technical and revenue roles is presented as capable of reaching competitive levels, implying meaningful upside where role/market fit is strong. Sales compensation is described as potentially attractive on-target, which can reinforce perceived earning opportunity when performance aligns with plan design.

AppsFlyer Insights

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The Company
HQ: San Francisco, CA
1,625 Employees
Year Founded: 2011

What We Do

AppsFlyer helps brands make good choices for their business and their customers through innovative, privacy-preserving measurement, analytics, fraud protection, and engagement technologies. Built on the idea that brands can increase customer privacy while providing exceptional experiences, AppsFlyer empowers thousands of creators and 8,000+ technology partners to create better, more meaningful customer relationships. To learn more, visit www.appsflyer.com.

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