דרושים » תוכנה » Senior Software Engineer - Distributed Systems

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.

What Youll Do

Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
Write in Go amongst other languages
Use Kafka, Redis, Cassandra, and other open-source components
Own meaningful parts of our service, have an impact, grow with the company

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

In this role, you will contribute to building resilient and performant systems that process large volumes of infrastructure metadata and make it accessible for product teams and customers alike. Youll work alongside experienced engineers and gain exposure to platform-wide initiatives across ingestion, processing, and query pipelines.

What Youll Do:

Collaborate with engineers on the REDAPL team to design, implement, and maintain scalable backend systems for processing infrastructure data
Participate in system design discussions and contribute to decisions around performance, reliability, and cost-effectiveness
Write high-quality, well-tested code and contribute to continuous improvements in system operability and developer experience
Support product teams as they integrate with REDAPL, helping them build reliable features on top of our platform
Help debug and resolve production issues, participating in on-call rotations as needed

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.

We are looking for a Senior Engineer to help us take REDAPL, our Referential Data Platform, to the next level.

What Youll Do:

Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams
Lead and guide other engineers through architectural platform decisions
Identify potential system risks and trends in reliability and design solutions to address them
Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps
Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAP

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

What Youll Do:

Work on prompts, evals, and agent tools for working with code as part of the Datadog 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 Datadog 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 Datadog 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.

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:

Own new feature development end-to-end from ideation to implementation
Build low-overhead data collection tools based on Windows kernel drivers that collect important metrics from the kernel and in particular the network stack
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
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 Datadog customers 10x developers.

What Youll Do:

Work on prompts, evals, and agent tools for working with code as part of the Datadog 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 Datadog 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 Datadog 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.

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 Datadog's 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