דרושים » תוכנה » Senior Software Engineer

Were looking for a Senior Software Engineer to join the AZ Team in Tel Aviv - a group of passionate developers building the secure, scalable backbone of our Customer Experience (CX) Platform.
Our CX organization is one of the companys fastest-growing and most innovative groups, crafting a first-in-class digital experience for our customers and partners everywhere they connect with us. The CX Platform supports diverse business requirements using emerging technologies, including predictive and generative AI, to drive customer success and accelerate time to value.
Were at the epicenter of developing modern, cloud-native technologies that keep us agile and adaptable in a constantly evolving market. The AZ Team does it from A to Z - for developers, by developers. We own everything from user management, authentication, and authorization to the data consumption layer that enables developers to build securely and efficiently. Our mission is to deliver seamless, scalable, and developer-friendly foundations that make it easy to create, connect, and innovate - ensuring that every part of the platform, from login to data insights, just works.
Your Impact
As a key member of the AZ Team, youll play a pivotal role in shaping the foundations of our CX Platform - driving features and architectural decisions from concept to production-grade solutions. Youll design and build secure, scalable systems for user management, authentication, authorization, and data access that serve thousands of developers across.
You will:
Design, develop, and build platform-wide authentication and authorization services, creating a cohesive identity fabric that integrates seamlessly with multiple identity vendors and systems.
Lead the evolution of the data consumption layer, enabling governed, efficient, and context-aware access to data across the CX ecosystem.
Drive architectural decisions from concept to production, ensuring solutions are secure, scalable, and optimized for both developer experience and operational excellence.
Leverage AI and automation to enhance access control, anomaly detection, and developer productivity - turning complex platform insights into actionable intelligence.
Collaborate cross-functionally with product, data, and infrastructure teams to build interoperable solutions that power our next-generation developer platform.
Influence platform-wide engineering standards, promoting robust design, observability, and maintainability across services.
Champion developer experience, crafting APIs, SDKs, and tools that simplify integration and accelerate innovation.
Mentor and guide engineers, fostering a culture of technical depth, curiosity, and impact-driven innovation.

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

We are looking for a Senior Software Engineer to join our CI Infrastructure team within the Platform Engineering organization.
The team designs, builds, and operates the internal engineering platform that powers our companys build, test, and security validation workflows. This includes large-scale orchestration of complex test environments, hybrid cloud/on-prem execution infrastructure, DevSecOps integrations (SCA, SAST, policy enforcement), and advanced optimization mechanisms.
Our mission is to provide a scalable, reliable, and intelligent CI platform that enables hundreds of engineers to build and validate a complex distributed networking product efficiently and safely.
This is a hands-on engineering role focused on scalability, observability, reliability, and intelligent automation, with direct impact on engineering velocity and release confidence.
What Youll Do
Design and evolve scalable CI infrastructure for build and large-scale test execution
Develop automation and orchestration systems across hybrid environments (AWS and on-prem)
Integrate and optimize security validation flows (SCA, SAST, quality gates) within CI
Improve reliability, performance, and observability across high-volume CI workloads
Develop AI-assisted tooling and agents to optimize test selection, failure analysis, and resource utilization
Analyze CI data to identify bottlenecks, flakiness patterns, and optimization opportunities
Collaborate with R&D, Automation, and Security teams to continuously improve CI architecture and best practices
Take ownership of critical platform components used daily by large engineering teams.

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long- term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We are seeking a skilled Site Reliability Engineer (SRE) to join our team and help build, maintain, and improve the reliability, scalability, and performance of our systems. As an SRE, you will be responsible for owning and evolving our observability tooling, using real-time insights to make data-driven decisions about system behavior and performance at runtime, and implementing automation to enhance our infrastructure. This role involves collaborating across teams to ensure a robust and efficient technology stack supporting mission-critical systems.

You will:
Proactively enhance system reliability, scalability, and performance through automation, monitoring, and capacity planning.

Develop and maintain observability systems, including distributed tracing, logging, and metrics platforms.

Establish and maintain organizational standards for monitoring, leveraging tools like Prometheus, Grafana, and OpenTelemetry.

Use observability tools to analyze runtime behavior and make data-driven decisions that improve system performance and reliability.

Partner with development teams to integrate reliability best practices into the software development lifecycle.

Manage infrastructure at scale in cloud services (AWS advantage) and platforms like Kubernetes.

Optimize resource utilization to reduce costs while maintaining service quality.

Contribute to the development and adoption of AI-driven tools and practices for engineering and observability.
What success looks like:

You are a trusted technical leader within the organization, mentoring others and helping shape the evolution of our SRE and observability practices.

You reduce the frequency and impact of production incidents by building resilient systems and using observability insights to address issues before they escalate.

You significantly improve observability: key metrics, logs, and traces are consistently available, well instrumented, and actionable across all critical services, enabling fast, informed decisions and rapid resolution of issues.

You are actively engaged in proactive problem solving: you identify and resolve systemic issues before they impact customers, and continuously refine SLOs and SLIs to reflect evolving business needs.

Required Performance Engineer
About the role;
Were building a next-generation platform for validating large-scale distributed systems. Our goal is to continuously ensure the correctness, performance, and resilience of the Data Platform across every layer of the stack.
As a Senior Software Engineer, youll work hands-on on the systems and frameworks that test, stress, and validate complex distributed infrastructure under real-world conditions. Youll help design and build automated environments that simulate scale, concurrency, and failure scenarios, and youll contribute to evolving how we ensure reliability and correctness in modern infrastructure systems.
This role is ideal for engineers with a strong distributed systems background who enjoy deep technical problem-solving, working close to the system, and building tools that improve quality, stability, and confidence at scale.
What Youll Do:
Design and implement core components of a distributed testing infrastructure and quality platform.
Build automated frameworks to validate functionality, performance, and resilience at scale.
Collaborate closely with infrastructure, storage, and platform teams to ensure quality is built into the development lifecycle.
Contribute to improving tooling, test coverage, and engineering best practices across the organization.

Required Sr. Software Engineer
Tel Aviv-Israel
Who we are:
We are an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and users engagement throughout the ads lifecycle.
We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.
What will you do:
You will join a team of experienced engineers and help them in developing our innovative Classification products.
You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.
Youll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.