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we are looking for a Senior Backend Engineer.
As a Senior Backend Engineer, you'll partner with a team of seasoned engineers to build the AI-powered foundations that are redefining test automation , helping engineering teams deliver flawless digital experiences faster and with greater confidence, by bringing visual AI and autonomous capabilities into every step of the testing lifecycle
You'll work on distributed, high-throughput microservices systems powering visual AI testing for some of the world's largest engineering teams.
Within this role, you will be responsible for:
Designing and evolving cloud-native microservices that power large-scale distributed rendering and browser orchestration pipelines
Leading the design and delivery of mobile device infrastructure (iOS and Android) in our Execution Cloud, becoming the team's domain expert on simulators, emulators, and mobile toolchains
Owning the full software delivery lifecycle from design and development through testing, deployment, and production operations, including the underlying infrastructure
Driving continuous improvement of system reliability, scalability, and performance
Collaborating closely with teammates across the stack to deliver well-designed, high-quality solutions
Exploring and integrating AI-driven capabilities to push the boundaries of what's possible in test automation

Alice is seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others. Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs. Responsibilities
* Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
* Managing projects end-to-end, from initial planning and oversight through quality assurance to final delivery.
* Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
* Ongoing investigation into new tactics for circumventing foundational models' safety measures.
* Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
* Promoting a culture of knowledge exchange and continual learning within the team.

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.

We are looking for a Senior Software Architect (Individual Contributor) to join our Runtime Technology Group. This role is ideal for a highly experienced engineer who wants to remain hands-on while leading through architecture, technical decision-making, and collaboration - without people management responsibilities.

What youll do:
Own and drive the architectural design of core runtime and SaaS platform components, with a strong focus on scalability, reliability, and data design.
Translate high-level product and business requirements into clear, production-ready system designs for cloud and on-prem environments.
Lead technical direction through design reviews, architectural discussions, and hands-on implementation.
Define and promote architectural standards, patterns, and engineering best practices across teams.
Work closely with backend, data, platform, and product engineers to design and build robust, data-driven systems.
Design and optimize data models, storage strategies, and pipelines for high-volume, real-time, and analytical workloads.
Remain hands-on by implementing strategic components, building PoCs, and supporting complex engineering efforts.
Evaluate and introduce technologies that improve performance, scalability, security, and observability.
Act as a technical mentor and trusted advisor, influencing teams through expertise rather than authority.
Partner with cross-functional stakeholders to ensure architectural decisions align with product goals and long-term strategy.

We are seeking a highly experienced Senior Cloud Architect to join our Platform Technologies Group and shape the architectural foundation of our SaaS Platform.

This is a strategic, high-impact role focused on designing scalable, resilient, and data-driven cloud architectures that power large-scale enterprise security workloads. You will define architectural standards, influence long-term platform evolution, and ensure our systems are built for performance, reliability, and continuous innovation.

You will collaborate closely with Engineering, Product, and Security Research leadership to drive architectural excellence across the organization.

What You Will Own
Lead the architectural strategy and evolution of our SaaS platform.
Design scalable system structures with a strong focus on data modeling, storage strategies, and high-performance workloads.
Define architecture standards, best practices, and governance guidelines across engineering teams.
Architect high-volume, real-time, and analytical data pipelines.
Design and optimize schemas, indexing strategies, caching layers, and storage patterns.
Evaluate and introduce technologies that improve scalability, performance, and observability.
Provide hands-on technical leadership from concept through production deployment.
Conduct PoCs and architectural evaluations to guide long-term strategic decisions.
Mentor engineering teams on distributed systems design, microservices patterns, and data architecture.
Align architectural direction with business goals and product strategy.
Design AI-enabled and agentic workflows with strong considerations for cost efficiency, isolation, resilience, and runtime safety.

We are looking for an Engineering Platform Manager to lead one of our core engineering teams and drive the evolution of our container security platform at scale.

This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.

In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.

If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems - this role is for you.

What You Will Own?
Lead, mentor, and grow a team of engineers, fostering a culture of ownership, accountability, and technical excellence.
Own end-to-end delivery of core platform components - from design to production and long-term scalability.
Drive development of cloud-native microservices in large-scale production environments.
Lead architecture discussions, design reviews, and code quality standards.
Help define and design AI-driven solutions, workflows, and systems tailored to customer and product needs.
Design and implement internal tools and automation, including AI-powered workflows, to improve scalability and reduce manual work.
Partner closely with Product, Security, and cross-functional teams to align execution with business goals.
Step into strategic or complex customer engagements when needed and help drive them to success.
Drive data-driven decision making, continuous improvement, and innovation across the team.
Lead Agile execution, planning, and predictable delivery across the SDLC.
Improve performance, scalability, reliability, and observability across the platform.
Contribute to long-term engineering strategy and roadmap.
Stay hands-on when needed - guiding design, debugging, and system optimization.

Join a global B2B company developing cutting-edge optimization software for the food and delivery industry.



What Youll Do:

Build scalable backend systems for cloud and on-premise environments.
Own features end-to-end: design, implementation, testing, and deployment.
Develop high-performance code for systems running worldwide, often on legacy hardware.
Collaborate with cross-functional teams (Frontend, Product, QA, DevOps).
Innovate under real-world constraints with performance and stability in mind.
Work independently while driving backend best practices.

our designs and builds large-scale digital products and services used by millions, for leading local and global companies. We work inside complex ecosystems, mature design systems, and multidisciplinary teams, and are evolving our studio for the AI era. Who Were Looking For A Delivery Manager with a hands-on approach and a rock-solid foundation in execution. Someone who deeply understands workflow optimization, risk mitigation, and product delivery cycles-approaching every bottleneck with curiosity, experimentation, and systems thinking. This isnt about mastering a specific project management tool. Its about knowing how to orchestrate methods, identify the right levers for success, and adapt your process to the unique DNA of the problem at hand. Why our company?
* Work on products that actually ship and scale to millions.
* Join a studio that values thinking, exploration, and ownership, not just execution.
* Be part of a team actively redefining what design work looks like in the AI era.

We’re seeking a visionary Team Lead to lead a AI & backend-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across Earnix to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles. In this role, you’ll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What You’ll Do Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. You’ll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems. Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications. Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security. Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization. Drive agile processes and best practices , leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality. Scale the team strategically , hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Alice is seeking a driven and compassionate leader to serve as Research Team Lead - Online Child Safety. In this vital role, you'll oversee a skilled team tackling online child exploitation, including CSAM, grooming, sextortion, trafficking and more. You’ll manage workflows, ensure exceptional delivery, and foster a culture of innovation. If you’re a motivated leader passionate about creating safer digital spaces, we encourage you to apply. Responsibilities:
* Oversee research initiatives to deliver impactful insights and address risks.
* Develop data feeds and maintain databases to track harmful trends.
* Mentor team members, fostering professional growth and collaboration.
* Streamline workflows and implement automation for greater efficiency.
* Ensure timely, accurate, and high-quality client deliverables.
* Expand knowledge resources and monitor emerging threats like GenAI.

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.


Hybrid:
Yes

We're looking for a talented Backend Engineer to take a significant role in the development of a highly robust, multi-cloud, multi-region SaaS platform.

As a Backend Engineer , you will be part of a small and high-performing team, developing a SaaS platform that provides technical solutions for DevOps.

This role includes working in a multi-cloud environment (AWS, GCP, Azure), developing microservice architecture with Golang. You will work in a dynamic and agile environment with the most cutting edge technologies.

We are looking for an Escalation Engineer (part of the Engineering organization) to support escalation points from both the Customer Success organization as well as internally within the engineering teams. This position may also include interfacing with customers.



Responsibilities:

Troubleshoot, debug, analyze logs, profile code & provide temporary or permanent solutions.
Work closely with engineering teams to propose fixes or temporary workarounds for critical customer issues.
Build supporting automation to improve productivity (of both yourself and the team).
Understand customer use cases and work closely with Customer Success Engineers and Solution Architects to be an effective channel between Engineering teams and Customer Success.
Take complete ownership and follow-up on escalations.
Collaborate cross-functionally to solve difficult technical problems.

We are looking for a passionate and skilled Senior DevOps Engineer to join our team. The ideal candidate is a proactive problem-solver with extensive experience in architecting and maintaining high-scale, production grade SaaS environments across multiple cloud providers.

As a Senior DevOps Engineer , you will be part of a high-performing team, leading the company infrastructure. You will work in a dynamic and agile environment with the most cutting edge technologies.



Responsibilities:

Design and plan large-scale, multi-cloud (GCP, AWS, Azure) production architectures, ensuring compliance with strict SLAs.
Automate infrastructure provisioning using tools like Terraform/Terragrunt, and leveraging GitOps methodologies.
Implement and maintain CI/CD pipelines to support multiple development teams.
Establish best practices for observability, logging, and alerting using technologies such as Datadog, Coralogix, OpenTelemetry, and Prometheus/Grafana.
Drive continuous improvement in system reliability, scalability, and cost efficiency across all environments.
Manage and operate message brokers (RabbitMQ), databases (MySQL, Redis), at scale.
Mentor engineers, fostering a strong DevOps culture and establishing standard practices within the organization.