דרושים » תוכנה » Senior Software Engineer - REDAPL Resource Graph

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.

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.

We are seeking a passionate and highly skilled Senior Golang Developer to join our dynamic Software Engineering team. The ideal candidate is an expert Go engineer with a strong background in building scalable, high-performance distributed backend systems on the cloud. You should be enthusiastic about working with cutting-edge technologies in an Agile environment and capable of owning complex components end-to-end, taking an idea through design, testing, and production monitoring.

What will you do:
Responsible for the full lifecycle of our distributed services, focusing on performance, reliability, and innovation: Design & Development
* Architect, design, and implement robust backend services and distributed system components using Go, ensuring high scalability, reliability, and performance.
* Develop microservices and server side infrastructure with clean, maintainable, and testable code.
* System Ownership: Take full ownership of complex components, moving them from initial concept design through development, testing, CI/CD, and production deployment and monitoring. System Optimization & Data
* Optimize service performance, parallel processing, concurrency handling, and resource utilization in high-scale environments.
* Work with a variety of data stores and event-streaming technologies.
* Integrate services with technologies like OpenSearch, Redis, and column store databases as part of the system architecture.
* Implement secure development practices and production ready standards. Collaboration & DevOps
* Work closely with Data Engineering, DevOps, and Product teams to deliver high quality, production grade services.
* Develop and deploy applications in Kubernetes environments, leveraging strong DevOps best practices and CI/CD pipelines for smooth, reliable releases.
* Participate actively in code reviews, design discussions, and cross team technical initiatives. Innovation
* Explore new technologies, evaluate tools, and propose improvements to the existing stack and development processes, championing a culture of continuous improvement and technical excellence.


About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

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.

As a Staff Software Engineer , you will play a pivotal role in revolutionizing how companies understand their customer interactions. You will be instrumental in designing and leading the development of scalable systems, working with cutting-edge technologies, and collaborating extensively with cross-functional teams across the organization to solve high-impact problems.



As a Staff Software Engineer, you will:

Design and implement scalable, high-performance backend services and APIs using Java, Spring Boot, and cloud technologies.
Provide technical leadership and mentorship to other engineers, guiding them in best practices and architectural decisions.
Drive the architectural vision and strategy for complex systems, ensuring scalability, reliability, and maintainability.
Explore and integrate new technologies, APIs, and methodologies, including AI and ML capabilities.
Collaborate with internal teams (Product, GTM, and R&D groups) and external stakeholders to develop tailored solutions.
Be a part of a unique "special forces" team responsible for providing solutions to high profile customers with requirements that our product does not currently meet.
Rapidly switch between different areas of responsibility and technical stacks, contributing to multiple products and teams.

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

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.

We are looking for a Engineering Team Lead.
As an Engineering Team Lead, you are the technical anchor of a cross-functional product team.
Your mission is to cultivate a high-velocity engineering culture where end-to-end ownership is the norm and shipping to production multiple times a day is the standard.
Operating within a Product Operating Model, you will lead a team of engineers in a high-performing environment, empowering them to leverage a modern, diverse tech stack to solve complex problems.
Your goal is to build an engine of impact where innovation moves fast, quality remains high, and engineers are autonomous owners of their craft.
Key Responsibilities:
Delivery Management: Own the teams delivery lifecycle. You will drive predictable shipping cadence while managing technical debt and ensuring that velocity never comes at the expense of stability.
Team Leadership & Growth: Mentor and coach engineers at all levels, fostering their professional growth, conducting performance reviews, and building a cohesive, psychologically safe team environment.
Operational Excellence & Quality: Champion a culture of craftsmanship. Establish high standards for code quality, testing, monitoring, and incident response, ensuring your systems are robust, secure, and reliable.
Product Strategy & Discovery: Partner with Product and Design to lead Continuous Discovery, validating ideas quickly and ensuring the team builds solutions that drive measurable business outcomes.
Technical Direction: Guide the architectural vision and technical decision-making of the team, balancing immediate product needs with long-term system health and scalability.