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We are looking for an experienced and strategic IT Manager to lead Earnix's global IT function. Reporting to senior leadership, you will own and evolve the IT infrastructure, service delivery, security posture, and AI integration capabilities that underpin the business across our worldwide offices. You will manage a globally distributed team covering help desk support, systems administration, information security, and AI-driven tooling - ensuring reliable, secure, and scalable IT services for a fast-growing SaaS company.


What You Will Do:

Own and continuously improve global IT operations, including help desk support, systems administration, endpoint management, and IT infrastructure across all our offices and remote users.

Partner with business and technology stakeholders to translate operational and growth needs into scalable IT solutions, policies, and strategic roadmaps.

Lead the implementation and ongoing management of the companys information security program, ensuring compliance with SOC 2, ISO 27001, and relevant regulatory frameworks globally.

Drive the adoption and integration of AI-powered tools and automation across IT workflows, enabling global teams to work more efficiently and securely.

Build, manage, and develop a high-performing, globally distributed IT team, setting clear goals, driving best practices, and fostering a culture of service excellence.

As a Senior DevOps Engineer on the Price-It Platform team, youll own core cloud infrastructure, CI/CD, and the Kubernetes platform that powers our cloud-based decisioning products for global insurers and banks. Youll take end-to-end technical ownership of high-impact platform initiatives - from design through production - working hands-on across AWS, Kubernetes, and automation, while shaping how the team builds and ships.


What You'll Do:

Own and evolve the cloud platform: AWS infrastructure, EKS/Kubernetes, and Terraform-based Infrastructure-as-Code.

Build and maintain CI/CD pipelines and GitOps workflows that keep delivery fast, safe, and repeatable.

Design and operate secure networking and access (ALB, OIDC/OAuth2, JWT/M2M, Okta, firewalling).

Drive reliability, scalability, and resilience - including disaster recovery and multi-region readiness.

Partner closely with R&D, Product, QA, and Support to take initiatives from design to production.

Improve developer experience and velocity, including through AI-assisted and agentic engineering workflows.

Mentor and raise the engineering bar through technical leadership, design reviews, and documentation.

We are looking for a Senior Software Engineer to join our Core Engineering group. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.

Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.

In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.

This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.


What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across Forters decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

We are looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives in our company, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.


What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes Forters vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard Forters value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across us to accelerate AI adoption and productization efforts.

we are pioneering the embedded lending network for point-of-sale consumer financing for merchants and financial institutions. Powered by a network of lenders and a data-driven matching engine, our company streamlines the distribution of credit into a single, secure, and reliable embedded lending platform. Merchants can rapidly implement our companys omni-channel platform online, in-store, and at every point of sale, enabling them to provide personalized financing choices to their customers.
Here at our company, we are building the next unicorn in the Fintech industry and are looking for a talented and success driven Fullstack Engineer Intern to help make it happen!
Responsibilities
Assume responsibility for software engineering tasks that deliver real value to customers
Develop solutions by taking ownership of the end to end software delivery life cycle
Work in an agile environment to deliver high quality software.

We are looking for a Senior II Software Engineer to join the CX Platform team, the foundational engineering team powering our entire Customer Experience group. This is a high-impact, hands-on role at the intersection of backend engineering, AI infrastructure, and customer-facing product.

You'll work across the full platform stack (backend services, data pipelines, security, cost, and scale) with a meaningful and growing focus on AI infrastructure. We own the agentic platform for the entire Product Offering group: from building the LLM infrastructure and agentic workflows to ensuring they're reliable, observable, and safe in production.

What you'll be doing:
Own AI infrastructure for the Product Offering group. Design, build, and evolve the shared AI platform (agentic workflows, LLM integrations, observability, and guardrails) that CX product teams build on.
Ship agentic features end to end. Lead development of AI-driven capabilities using LangChain, LangFuse, and AWS Bedrock, from architecture through production deployment and monitoring.
Drive platform architecture. Set the technical direction for the CX backend (services, data pipelines, API patterns) with an eye for scalability, reliability, and developer experience.
Own core data foundations. Design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, and MySQL; keep pipelines fast, fresh, and reliable.
Mentor and elevate. Help engineers across the CX group grow in backend craft, AI engineering, and system design thinking.
Collaborate cross-functionally. Work with product, design, and customer-facing teams to turn ambiguous problems into well-scoped, high-quality solutions.

We are looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. Be at the forefront of Applied AI. This role is outward-facing: you will engage with GTM and G&A functions - Sales, Marketing, Finance, HR, Legal, Customer Success - and fundamentally alter how these teams operate with AI.

What you will be doing:
Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
Measure and report on AI adoption impact - unlocking new opportunities, process improvements, and capability gains - to build the case for continued investment and to guide prioritization.

We are seeking a highly skilled, motivated Senior Full-Stack Engineer II to join the Customer Experience Offerings (CXO) team. This team delivers and scales our core offerings and agentic experiences, creating smart automation for customers to confidently understand, configure, and optimize their journey.

What Youll Be Doing
Act as the go-to technical expert across one or more core areas of the CXO platform, setting the standard for code quality, maintainability, and architecture for the team.
Drive technical decision-making on complex, mission-critical systems. Lead design reviews for large-scale initiatives and contribute to all major architectural decisions within your domain.
Own and deliver large, cross-system initiatives, handling open-ended problems with ambiguity. Define key success metrics and measure project impact post-delivery.
Proactively identify and drive improvements to system costs, scale, and operational stability.
Proactively engage with customers to understand their needs, document pain points and suggestions, and drive improvements that benefit multiple teams.
Improve team processes: identify gaps in documentation, design/code review practices, and onboarding; propose and lead adoption of improvements.
Think like a product owner: proactively identify opportunities to improve the customer experience from quality-of-life improvements to impactful new capabilities and bring them to the roadmap.

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists.
Responsibilities:
Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and physicists.
Responsibilities:
Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it

As a Customer Success Account Manager (CSAM), you will serve as a trusted advisor to enterprise customers, helping them realize business value from their Microsoft technology investments. You will lead customer engagement strategies focused on cloud adoption, digital transformation, AI innovation, operational excellence, and business outcomes. The CSAM partners closely with customer executives, technical stakeholders, sales teams, solution specialists, and partners to accelerate solution deployment, increase consumption, and identify opportunities for expansion. This role combines customer success leadership, strategic account management, and business growth responsibilities, ensuring customers achieve measurable value while advancing their cloud transformation journey.


Responsibilities

Customer Success Leadership
Build and maintain trusted relationships with customer executives and key stakeholders.
Develop and execute Customer Success Plans aligned to customer business priorities.
Drive adoption, usage growth, and business value realization across Microsoft cloud solutions.
Lead executive business reviews and strategic customer engagements.
Proactively identify risks and develop mitigation plans to support customer success.

Cloud Transformation & Business Outcomes
Help customers accelerate their cloud, security, data, AI, and workplace transformation initiatives.
Ensure successful deployment, adoption, and long-term realization of solution value.
Connect business objectives with technology capabilities to drive measurable outcomes.
Advocate for customer needs and influence internal teams to deliver exceptional customer experiences.

Growth & Pipeline Accountability
Identify expansion opportunities through customer engagement, adoption insights, and business planning discussions.
Partner with sales teams to develop and accelerate cloud growth opportunities.
Contribute to pipeline generation by uncovering new business needs, transformation initiatives, and innovation opportunities.
Align customer success strategies with broader account growth plans.
Support opportunity progression from business value discussions through solution adoption and expansion.

Cross-Functional Collaboration
Coordinate resources across sales, technical, consulting, support, and partner teams.
Drive alignment between customer priorities and Microsoft solution strategies.
Foster a collaborative environment focused on customer outcomes and long-term growth.

We're looking for a hands-on Senior Backend Engineer to join the App Studio & Intelligence team within our GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across us and our customers to design and deploy AI-driven solutions.

In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.


What You'll Do

Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS.

Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks, with attention to performance, scalability, and security.

Lead complex design efforts - driving architecture discussions, design reviews, and technical decisions for significant areas of the system.

Collaborate closely with product, data science, and other engineering teams to translate business needs into robust backend solutions that enable AI-agent use cases.

Raise the engineering bar through code reviews, mentoring less experienced engineers, and championing best practices in quality, observability, and operational excellence.

Take ownership of production health, including monitoring, alerting, troubleshooting, and continuously improving system reliability.

We are looking for a Staff engineer to join our Data Products team.

The team owns the data platform layer underneath our core operations.

It builds and operates the real-time data processing systems, quality pipelines, schema infrastructure, and knowledge base tooling that make agent-driven work trustworthy at scale.


What you'll be doing:
Design, build, and operate Flink-based streaming pipelines at production scale, the real-time processing systems at the core of our internal workflows.
Own data quality and observability infrastructure: schema contracts, freshness monitoring, ownership registries, and the alerting systems that catch problems before they affect downstream processes.
Build and evolve the knowledge base tooling that makes institutional context queryable for agents and engineers.
Drive data integrity work: design systems that recover reliably from failure and make the underlying platform trustworthy by default.
Collaborate with the Agentic Data Foundation initiative as we build a company-wide data layer; Data Products is where the proof of concept gets built and validated.
Set technical direction across the team's systems and hold architecture standards with the EM and other Staff engineers.

we are pioneering the embedded lending network for point-of-sale consumer financing for merchants and financial institutions. Powered by a network of lenders and a data-driven matching engine, our company streamlines the distribution of credit into a single, secure, and reliable embedded lending platform. Merchants can rapidly implement our company's omni-channel platform online, in-store, and at every point of sale, enabling them to provide personalized financing choices to their customers.
Every merchant and lender on our network is configured, validated, and maintained by the Operations team. We do this through an internal Python platform we built and own end to end. We're looking for a sharp student to help us extend it -and, from time to time, to step out of the code and help a merchant or lender get their integration working.
This role sits inside the Operations team, close to both the product and the customer. You'll build the tooling, and you'll see it used - sometimes by our own team, sometimes on a call with a merchant who needs their integration fixed today. If you enjoy building critical tools that customers rely on, if youre happy being the go-to-person who solves real production blockers, lets talk.
Responsibilities
Develop and extend our internal Python automation platform, which drives merchant and partner onboarding across all environments
Write and maintain MongoDB scripts and queries for configuration, validation, and reporting tasks
Build validation and safety logic that catches configuration errors before they reach production
Use AI coding & Automation tools as part of your day-to-day workflow to move faster on real tasks
Support recurring configuration requests from internal teams -and identify which of them can be automated
Join integration or debug sessions with merchants and lending partners, helping them trace issues through API requests, configuration, and logs.

We are seeking a Senior Front-End Developer to join the core team building our next-generation AI Engine and Unified Chat Assistant. You will architect the UI for complex AI workflows, including multi-tenant agent management, pipelines, and evaluation services. We operate on a forward-thinking model where you will leverage an AI-first, spec-driven development approach to own features end-to-end.


What Youll Do:

Architect and Build: Develop scalable user interfaces for the AI Engine, Unified Chat Assistant, and Evaluation Service using modern web architectures.

AI-First Development: Drive our spec-driven workflow by heavily utilizing AI agents (Cursor, Claude Code) to handle code generation, so you can focus on architecture, planning, and validation.

End-to-End Ownership: Embrace a multi-disciplinary approach by owning the entire feature lifecycle from frontend implementation to backend integration and QA automation.

Global Collaboration: Partner closely with Product, UX, and backend teams (including our Paris office) to ensure seamless API and microservice integrations.

Quality Assurance: Establish and maintain high-quality standards through comprehensive testing strategies, including unit and E2E testing.