דרושים » תוכנה » Senior Software Engineer - IDE AI Experiences - LLM Engineer

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.

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

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 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 AI Engineer to join our R&D organization and help lead the development of AI-powered and data-driven capabilities in our Developer Productivity Platform.
In this role, you will transform data into actionable insights and intelligent models that help software teams understand, measure, and improve how they work. Youll work closely with product, data, and engineering teams to design and deliver AI and data science solutions that have real impact on developer productivity and business outcomes.

Key Responsibilities:
Design, develop, and deploy AI-driven features & data science and ML models to analyze code flows, software development processes, team behaviors, and performance metrics.
Build AI & data pipelines and analytical infrastructure that ensure data quality, accessibility, and freshness at scale.
Translate complex data into clear, actionable insights and code analysis that influence product direction and drive customer value.
Develop and maintain predictive, prescriptive, and diagnostic models to support use cases like delivery forecasting, productivity measurement, and team health analysis.
Partner with Product Managers, Data Engineers, and Backend Engineers to bring insights to life through AI & data-driven features and platform improvements.
Monitor and continuously improve model performance through experimentation, A/B testing, and user feedback loops.
Research and evaluate new AI/ML tools and methodologies to enhance the platforms intelligence and scalability.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other company Software teams.

we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.



What Youll Do:

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

Required Software Engineer - Al Platform
About Us
We help modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies and over 1 Milion users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
What this role is really about
Were building our internal AI Platform as a foundation that enables safe, scalable, and cost‑effective AI across the company. Our mission is to support internal business units in becoming more productive and driving business growth. As a Software Engineer on Business Innovation (Internal), youll develop high‑leverage platform capabilities used by Product, Customer Success, Sales, Operations, Data, and IT. Youll work across the entire stack, from APIs and services to data and UI. transforming business requi
Build core AI platform services - Design and implement agent orchestration, prompt management, RAG, Connectors, and evaluation pipelines that power AI experiences across the company.
Develop complex agentic workflows - Develop a multi-step workflow that coordinates tools and services with proper observability, guardrails, and cost controls (using OpenAI Agent SDK, LangGraph, or a similar framework).
Build LLM evaluation and optimization systems -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.
Ship the internal AI portal - Build user-facing products that democratize AI access: prompt directories, agent designers, templates, approval workflows, and more.
Ensure security and compliance - Develop RBAC, data classification, PII redaction, audit logging, and policy enforcement.
Create robust integrations - Connect the platform with Salesforce, NetSuite, Slack, Snowflake, HRIS, and other critical business systems.
Establish operational excellence - Implement CI/CD, testing strategies, monitoring/tracing, and SLOs for high-reliability services.
Enable developers - build SDKs, CLIs, and templates that help teams create safe, scalable AI workflows. Lead technical discussions and write design documentation.

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.

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.