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Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security.

As a Senior Software Engineer on the KSPM team, you will join a mission-critical group building and scaling one of the companys core and fastest-growing security products. Our team enables customers to secure their Kubernetes environments across every major cloud provider, delivering deep visibility into cluster misconfigs, RBAC risk, admission control, compliance drift and container vulnerabilities.

In this role you will design the backend services and data models that discover, onboard, scan, and represent K8s workloads, APIs, and configurations at scale. You will own core services end-to-end, drive architectural improvements and partner with security researchers to turn complex threat vectors into actionable insights.

We are looking for backend engineers who care deeply about software design, cloud-native infrastructure, and container security. This is a high-impact role with real ownership - lead features end-to-end, mentor teammates, and help shape the technical direction of our KSPM offering.

What Youll Do:
Design & build at scale: Design, implement, and maintain scalable backend services that discover, onboard, scan, and analyze Kubernetes environments across multi-cloud and managed clusters.
Model K8s security: Map and represent Kubernetes resources as clean data models that surface misconfigurations, exposure risks, and compliance violations.
Integrate detection engines: Integrate and evolve detection engines for container vulnerabilities, secrets, RBAC risks, misconfigurations, and compliance frameworks.
Collaborate on research & product: Partner with security researchers and product managers to translate novel findings and complex requirements into impactful features.
Design for quality: Write clean, well-tested code in Python or Go, with thoughtful abstractions and APIs that keep the system correct and maintainable as it grows.
Lead & mentor: Lead design discussions and code reviews that uphold high engineering and security standards across the team.
Own it end-to-end: Own features through their full lifecycle - from technical specification and design through implementation, testing, and release.

We are seeking a highly driven, hands-on Production Engineering Leader to join our Operations & Manufacturing team. In this role, you will serve as the primary operational link to our Contract Manufacturers (CMs), drive the end-to-end NPI handoff process into steady-state production, manage legacy product lines, and streamline the production-side RMA pipeline.
If you thrive in a high-growth, fast-paced hardware environment, love diagnosing complex manufacturing challenges, and are passionate about continuous improvement, this is the role for you.

For this role, we are looking for a R&D Software Engineer - Core Processor who is both an experienced engineer and a great people person.
Someone who can evaluate existing workflows, devise and communicate new solutions, own and deliver them, taking our company to the next level.
Responsibilities:
Actively investigating, understanding, and challenging workflows in the company, interacting daily with software and hardware engineers.
Continuously suggesting and delivering new ideas to enhance and improve our products and the work of engineering teams.
Driving the adoption of AI capabilities and modern practices across chip design, verification, and software teams.
Partnering with engineering teams to plan, develop, and deliver high-quality software infrastructure in a complex hardware + software environment.

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

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 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 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 looking for an algorithm engineer to join our fast-growing B2C company. The algorithm engineer will define and develop algorithms based on users' data to optimize the data we show to our users.
Responsibilities:
Define and develop algorithms based on data received from users.
Maintain and improve developed algorithms based on users' data analysis.
Implement the algorithms as part of the server code and integrate with Atly' database.
Work in a dynamic environment requiring quick decision-making within tight schedules.

Build the agent runtime and the LLM application layer that powers Agents - the ai-gateway that routes across Anthropic, OpenAI, and our own served models, plus tools, MCP, deep-research orchestration, and the App Builder codegen loop. You will turn frontier and owned models into product features people actually depend on.

we are looking for a Full-Stack Engineer.
Shape the developer-facing surfaces - the CLI, dashboard, App Builder, and documentation. You will own full features from design to production across TypeScript, React, and Go.

We are looking for a Junior Developer - Quality, Fraud & Security to guard our platform, solve production issues, and leverage cutting-edge AI tools to keep our FinTech ecosystem secure and reliable. In this role, you will help protect our data pipelines, troubleshoot issues, and maintain high standards of code quality and security. In this high-agility role, you will not build massive architectural features from scratch instead, you will own issues end-to-end - from detection and investigation through resolution and production deployment. You will use our proprietary AI development agent as a core tool to analyze complex issues, craft targeted scripts, fix bugs, and ship production-ready solutions at speed.
What You'll Do
* Fraud & Security Task Force: Proactively hunt down system vulnerabilities, close security loopholes, monitor Real-Time logs on AWS, and analyze data in Databricks to detect and manage potential attacks instantly.
* AI-Powered Quality Domain: Drive bugs from definition to production using our proprietary AI tool to accelerate troubleshooting, code generation, and refactoring.
* Service Assurance: Monitor live traffic and system behavior to ensure peak performance, data integrity, and operational correctness across our SaaS platform.
Why Join Us
* Assemble with Superheroes: You won't be flying solo. Youll join an elite crew of high-performing engineers who raise the bar every day-collaborating closely, sharing knowledge, and solving complex problems together.
* Bleeding-Edge Tech & Methodologies: We operate at the absolute frontier of software engineering. You will pioneer next-generation, AI-driven development workflows and cutting-edge practices that put you ahead of traditional dev setups.
*  Real-Time High Impact: Drive direct, visible change on a platform processing critical financial data. Your code, analysis, and security interventions protect the core of our business every single day.
Advantages:

* Cybersecurity experience and threat modeling awareness.
* Hands-on log analysis background.

we are looking for a ML Engineer.
Own the model plane end to end - vLLM inference, fine-tuning (GRPO/RL and LoRA), and the evaluation-and-promote pipeline that takes an owned model from checkpoint to production serving. We train and serve our own models on GPUs in our own cluster.

we are looking for a Infrastructure / Platform Engineer.
Build and scale the infrastructure layer behind every service - EKS orchestration, Pulumi IaC modules, Helm chart automation, and the observability stack that keeps the platform trustworthy.

we are looking for a Developer Experience Engineer.
Own the surfaces developers touch every day - the riven CLI, our SDKs, the Electron desktop IDE, and the docs. Make the path from zero to a deployed app feel effortless.

Design and build the infrastructure and interfaces that power context-AI platform, owning features end to end, from technical design through production.
What you'll do:
Design, implement, and scale data-intensive processing pipelines and core platform architecture.
Develop and scale the backend infrastructure behind our context-AI capabilities and production apps.
Build and maintain intuitive interfaces for complex data visualization and interaction.
Optimize performance across distributed systems, databases, and cloud architectures.
Own the full feature lifecycle: technical design, deployment, and monitoring.
Lead technical initiatives, shape the product roadmap, and mentor junior engineers.