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We are looking for an experienced and outstanding EMC Testing Engineer with the ability to understand complex systems and play a key role in the qualification of our revolutionary technologies.
What you'll do
Coordinate and perform hands-on EMC testing on full systems and components
Select, calibrate, and configure the right instrumentation (such as EMI Receiver, cables, antennas, LISN, coupling network, etc.)
Based on collected data and information, determine if specifications, regulations, customers expectations, and acceptance criteria are satisfied - According to automotive standards
Generate formal technical reports, and present conclusions to stakeholders
Conduct failure analysis investigations, diagnose failed components, and identify root causes
Recommend corrective actions (e.g. re-design Schematics, Components, Layout, etc.).

We're seeking an experienced DevOps Engineer to design, automate, and maintain cloud-native infrastructure for scalable microservices deployments while working closely with the SRE team. This role requires 3+ years of hands-on cloud experience with strong Kubernetes expertise and GitOps practices to support development and QA teams across production and development environments.



Responsibilities

Provision and manage infrastructure using Terraform IaC across cloud platforms.
Orchestrate advanced Kubernetes deployments with ArgoCD, Helm charts, and GitOps workflows.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalents.
Implement full observability stack with Grafana (Prometheus, Loki, Tempo), Azure Monitor, or equivalent tools for comprehensive metrics, logs, and tracing.
Containerize microservices with Docker and deploy across multi-environment setups.
Automate operations with Bash scripting; develop custom tools in Python/Go as needed.
Manage databases including MongoDB; handle basic L3/L4 networking, protocols, and DNS.
Collaborate closely with SRE team on reliability, incident response, and on-call rotations.

We are looking for a talented ATE System Engineer. In this role you will play a key role in shaping and operating these advanced platforms, working closely with the other R&D teams to develop, integrate, and optimize the next generation of automated test and calibration systems for LiDARs.
What you'll do
Take end-to-end responsibility for calibration and automated testing of critical LiDAR features, including development, validation, and troubleshooting.
Serve as a focal point for other R&D groups in your domain of expertise.
Develop, implement, and validate calibration and test scripts using Python.
Support the design and development of next-generation ATE systems for high-volume LiDAR production.

We are looking for a Junior NPI & Product Support Engineer to join our NPI and Product Engineering group. In this role, you will support the transition of new products from development to mass production, working closely with R&D, Operations, QA, manufacturing teams, and subcontractors to ensure product readiness and ongoing quality.

Your mission

Support New Product Introduction activities from development to production

Work closely with R&D, QA, Operations, and manufacturing teams to ensure production readiness

Coordinate technical activities related to product transfer to mass production

Perform troubleshooting and root-cause analysis for hardware and system-level issues

Support repair and validation processes for electronic boards and products

Maintain technical documentation and product-related records

Work with subcontractors and manufacturing partners to support product quality and delivery

Ensure alignment between hardware, software, and product configurations

We are looking for an experienced and talented Software Architect to join our Voca product team.

Voca product provides extensive Contact Center and Conversational IVR capabilities running on

both on prem and SAAS environments.



Job Description:

- Define the system requirements for Voca Product.

- Defining the architecture for next generation products.

- Write system design documents

We are looking for a talented Software Engineer to join our Backend Microservices team.

The team develops an Azure SaaS solution for connecting bots to our high-performance SIP applications.
The team develops large-scale microservices applications, primarily using Node.js and NestJS, with a strong focus on scalability and performance.
We work in a modern cloud-native environment, leveraging Kubernetes, Docker, Terraform, and Azure to build and operate production-grade systems.
This role combines backend development with strong DevOps involvement, requiring a hands-on approach to infrastructure and deployment processes


Your mission



Responsibilities:

Design, develop, and maintain backend services and APIs
Work hands-on with infrastructure as code, primarily using Terraform
Collaborate with DevOps to manage and improve CI/CD pipelines and infrastructure
Troubleshoot and optimize system performance across services and environments
Ensure reliability, scalability, and security of services
Full-time position
Develop and maintain backend microservices in Node.js (NestJS)
Take an active role in DevOps and cloud infrastructure to ensure smooth delivery and operations

We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience.

Our Technical Account Managers are trusted advisors and consult our customers upon their monitoring, security & observability journey. This role embodies the critical intersection of very high technical expertise and a focus on customer satisfaction, renewal and expansion.

Technical Account Managers are senior-level roles and are expected to professionally and accurately solve problems, show product value and interact across different platforms and types of software, from software engineers and DevOps all the way to the C-suite.



Responsibilities

Solve customers technical problems by adopting the platform, integrating new data and existing integrations
Understanding customers technical requirements and business goals to consistently create new artifacts and deliver value
Lead the onboarding process, from new integrations, creation of artifacts to trainings and troubleshooting
Know the Log Management / Observability markets well and be able to help customers by using the best technical practices available
Build a successful and ongoing game plan for each customer based on a specific data analysis and customers needs
Establishing relationships and engaging with technical counterparts to drive product adoption
Conduct QBRs with customers to consistently reflect delivered value and ensure customers needs
Advocate internally for customer needs within and influence a product development roadmap
Partner with the Sales team on renewals, upsells, cross-sells, and expansion opportunities

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.

Responsibilities

Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams

we are hiring a DevOps engineer to be part of the next-generation stream-based observability platform, providing real-time data analytics for major tech companies.

In This Role, You Will:

Works in high scale environments - Coralogix data pipeline processes 55Tb of data each day
Adopt cutting edge technologies with end-to-end responsibility
Building internal tools to expand our platform capabilities
Collaborate with R&D to improve stability & reliability of the system
Lead the product roadmap - our product is designed for engineers. Therefore, our engineers promote, enhance, and take a crucial part in influencing the product roadmap.

We're looking for engineers who are passionate about observability and skilled in Go to join our team and help develop modern observability solutions. In this role, you will support and lead the technical direction for using in our customer environments. You will be responsible for being an active member of the community, such as attending SIGs and contributing to and maintaining various components, tools, and specifications within the ecosystem. Your expertise will help ensure robust and scalable solutions for our clients.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.

Responsibilities:

End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

Alice’s Innovation team builds adversarial RL environments that train the world’s most advanced AI models to be safer. Our customers are the leading frontier AI labs, who use these environments for post-training reinforcement learning and safety evaluation. This is the bleeding edge of AI safety technology: the environments you build will directly shape how next-generation models learn to resist adversarial attacks. We’re looking for an AI Software Engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines. This is a builder role. You’ll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. You’ll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements. Why this role This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. You’ll be at the center of advancing AI safety, building systems that the world’s top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. There’s no playbook. You’ll write it. What you’ll do: Platform & performance
* Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
* Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
* Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
* Implement deterministic verifiers that evaluate agent behavior with zero ambiguity Customer delivery
* Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
* Translate customer specs into working environments, iterating rapidly on feedback
* Own the technical relationship: SLAs, API contracts, integration architecture
* Adapt environment delivery formats to cus tomer infrastructure (real-time API calls vs. offline batch, managed vs. raw artifacts)
* Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces) Rapid prototyping
* Take ambiguous problem descriptions and produce working prototypes within days, not weeks
* Validate new environment types, interaction patterns, and verifier approaches quickly
* Build internal tooling that accelerates scenario authoring and testing

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

Required QA Engineer
As a QA Engineer, you will:
Lead technological projects, in system and quality aspects
Design detailed, comprehensive and well-structured test plans and test cases
Identify, document and manage bugs life cycle
Work closely with research, product, dev, DevOps and program managers to meet project timeline.