דרושים » הנדסה » Senior Software Engineer - Distributed Systems

Were looking for experienced backend engineers who want to take ownership of critical services and deepen their expertise in distributed systems. Whether you've built APIs, pipelines, or backend tooling, this role is a chance to grow your impact while learning how to design and operate high-scale, high-availability systems that support observability and security products used by engineers around the world.

What Youll Do:
Design and build reliable backend services that handle high-throughput, globally distributed workloads.
Own core components that power products relied on by thousands of engineering teams worldwide.
Collaborate with other experienced engineers to evolve system architecture with a focus on scalability and resilience.
Learn and apply distributed systems design patterns in a production setting
Ship production-grade code in languages like Go, Python, or Java.
Contribute to team culture through code reviews, architecture discussions, and mentorship of peers and junior engineers.

Were looking for a senior engineer with strong systems-level thinking and a good understanding of Linux. You should be comfortable working close to the kernel, ideally with experience in eBPF, or with a strong desire to dive into it. Proficiency in C/C++/ Go is essential, and familiarity with networking protocols, TLS internals, or distributed tracing is a strong advantage.

Youll join a high-impact team tackling ambitious technical challenges-like decoding traffic across multiple protocols, and ensuring high-fidelity metrics in complex, real-world environments. Youll be expected to lead design and implementation efforts, contribute to roadmap planning, and collaborate across teams to ensure our solution remains robust, scalable, and frictionless for our users.

This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology.

What Youll Do:
Design and build core components of our zero-instrumentation APM product using eBPF and Go.
Develop systems to auto-discover services, classify L7 protocols, and extract RED metrics from both plaintext and TLS traffic.
Solve complex challenges around protocol parsing, encryption handling, and performance at the kernel level.
Ensure broad compatibility across Linux kernel versions, distributions, and diverse customer environments.
Collaborate across teams to drive technical direction, improve reliability, and scale the system for production use.

Were looking for product-minded engineers who are excited about developer tools, to help us quickly define and ship IDE experiences that make all our customers 10x developers.

What Youll Do:
Work on prompts, evals, and agent tools for working with code as part of the MCP server, and on the engineering to productionize these systems and integrate them within our customers IDE
Help conceptualize and build innovative UIs within the Cursor / VSCode extension that work hand in hand with our groundbreaking AI experiences.
Prototype and see what works well in the real world, iterate closely with our users, and then ship
Follow the latest research on LLM prompt optimization, agents, and code editing.
Support other product teams to help them build and productionize their developer-focused MCP toolings. For example, youll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of one click to reproduce for production errors.

The eBPF APM team builds Datadogs zero-instrumentation observability platform, enabling automatic service discovery, Layer 7 protocol classification, traffic decoding, and high-fidelity RED (requests, errors, duration) metrics from both plaintext and TLS-encrypted traffic-without requiring customer code changes.

This work spans kernel-space eBPF, user-space Go services, and large-scale distributed systems, operating reliably across diverse Linux kernels, distributions, runtimes, and real-world production environments. The team tackles challenges in protocol evolution, TLS detection across languages and frameworks, and performance-critical data collection at scale.

We are looking for a Staff Engineer who will act as a technical owner and multiplier-driving architecture, influencing the roadmap, and ensuring our APM platform remains robust, scalable, and easy to adopt us and our customers grow.

What Youll Do:
Own major technical areas of the zero-instrumentation APM system, from design through long-term evolution and operational maturity.
Define and drive architecture for kernel-level traffic capture, L7 protocol decoding, and metric extraction using eBPF and Go.
Lead high-impact initiatives addressing protocol parsing, TLS visibility, kernel compatibility, and performance at scale.
Set technical direction and standards for reliability, performance, and maintainability across the team.
Partner cross-functionally with Agent, Tracing, Security, Runtime, and Product teams to align on system design and roadmap priorities.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.



What You'll Be Doing

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We are looking for a highly experienced Backend Developer - Design and develop the core backend software layer over the company's specialized flagship product. It is a unique opportunity to join a team of top-notch engineers and work on cutting-edge technologies in a fast-paced environment of quantum computation.
What Makes This Role Different:
Our backend team sits in the middle of everything - we're the orchestration layer between:
Hardware control systems (C++)
Client exposed SDK (Python)
Reporting and managing system (Go)
Our business logic (Java/Kotlin + Spring)
What this means for you:
You'll own features end-to-end - from design conversations to production, across multiple systems and teams
You'll collaborate constantly - with engineers working in different languages, explaining APIs, debugging integration issues together
You need to think in systems - your code is one piece; you need to understand (and care about) how it all fits together
When something breaks, you dig in - even if the bug is in Python code you didn't write, or a timing issue between services
You make decisions - sometimes with incomplete information, and you take responsibility for the outcomes
You'll Thrive Here If You:
Ask questions when requirements are unclear rather than guessing
Help teammates when they're stuck, and ask for help when you are
Balance "perfect" with "good enough to ship"
Communicate clearly in English (written and verbal)
Think beyond your code and take ownership without being asked.

Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

What Youll Do:
Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance.
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams.
Work with our core platform teams to tailor our storage and query solutions to our needs.
Create a strong team culture aligned with our engineering standards and our customer focus.
Participate in hands-on engineering work including coding, code reviews, and design reviews.

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales - providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure customer success. If we sound like your kind of people, join us!
About the role
At our company, 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 company 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 Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Were looking for exceptional Senior Engineers who take full ownership of their work-from technical design through implementation and into real-world usage. This is a hands-on role for individuals who bring strong engineering fundamentals, curiosity across the stack, and a high standard for quality and reliability.
Youll join a team that values autonomy, deep thinking, and the ability to navigate both frontend and backend challenges. We expect engineers to care about how their systems behave in production-not just whether they compile-and to help build reliable, scalable software that stands up to real-world demands.
What Youll Do:
Design, implement, and ship end-to-end features spanning web, mobile, backend, and infrastructure layers
Tutor, guide and help to nurture a culture of technical excellence throughout the development organization
Own your code through its lifecycle-from spec and architecture to deployment, monitoring, and evolution
Investigate and resolve issues that arise in staging or production, and help build tools that make doing so easier
Work closely with product and design to define technical solutions that deliver real user impact
Improve system architecture, performance, and development practices over time
Collaborate with peers through code reviews, design discussions, and shared ownership of technical quality.