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We are looking for a Software Algorithm Engineer to design, implement, and maintain robust algorithmic systems in production environments.
This role focuses on high-quality software engineering combined with algorithmic thinking, working on real-world data at scale.
The position requires end-to-end ownership - from problem definition and algorithm design to production-grade software, deployment, and long-term maintenance.
The main task is to contribute to the software infrastructure that enables autonomous driving, from perception to planning.

We are redefining the travel industry with a truly autonomous platform powered by proprietary Agentic AI. As an Automation Engineer, youll play an essential part in building and scaling the testing infrastructure that validates our mission-critical AI workflows. This is a high-scale environment where you will use Cypress to solve unique challenges in autonomous decision-making, collaborating globally to deliver a platform trusted by major enterprises.
What Youll Do:
Architect the Cypress E2E Framework: Design, build, and scale a robust, high-performance end-to-end automation framework using Cypress to validate our core web application workflows, ensuring the complex UI accurately reflects the autonomous decisions made by our AI agents.
Validate Autonomous Logic via the UI: Develop sophisticated test harnesses within Cypress that interact with the application and perform data validation (e.g., intercepting network requests) to verify the intricate decision-making, cost optimization, and safety constraints of our self-governing AI agents.
Drive CI/CD Velocity: Take ownership of the testing lifecycle by integrating fast-running, automated Cypress tests directly into our CI/CD pipelines, serving as the final, reliable gate that allows the engineering team to deploy multiple times daily with zero functional regressions.
Performance and API Testing: Utilize Cypress's capabilities for API-level testing to quickly validate backend microservices, augmenting UI tests where necessary to maintain speed and reliability.
Contribute to Engineering Culture: Champion best practices in testability, reliability, observability, and code coverage, mentoring fellow engineers and fostering a culture of technical excellence across the platform.
Solve Unique Problems: Apply deep technical expertise and creativity to address novel testing challenges related to LLMs, such as ensuring the AI-generated UI flows are robust and predictable.

As an AI Engineer, youll build full-stack features that deliver seamless user experiences - combining robust engineering with advanced AI capabilities.

Responsibilities:
Design and deploy agent-based systems for real-world use cases.
Build end-to-end features: backend APIs, data models, and React-based UI.
Integrate AI and agentic logic into the core product.
Develop backend pipelines for autonomous agents and workflow automation
Optimize model accuracy, reliability, and performance.
Work closely with product, data, and UX teams to align AI with business and user needs.

The Solutions Architect is a senior software engineer that will build the architecture of solutions for our customers. The Solutions Architect will be working hand-in-hand with Sales Engineers and enterprise customers to design smart, scalable automation architectures. This role is about connecting deep technical understanding with business insights, crafting solutions that deliver value to the customer while keeping development efficiency and long-term maintainability.

Your responsibilities:
Join enterprise sales conversations to understand customer requirements in depth technically and strategically.
Design our Ops-based architectures that align with customer needs, optimize delivery effort, and minimize future maintenance risks.
Collaborate closely with Sales Engineers, AEs, and internal stakeholders to drive agreement around the best solution design.
Lead architecture deep dives, solution validation sessions, and POCs when necessary.
Serve as a technical advisor during SOW creation, including effort estimation and design clarity.
Maintain expert-level knowledge of the company`s platform and upcoming roadmap capabilities.
Create reusable design assets (reference architectures, design patterns, best practices) to accelerate future engagements.
Act as a thought partner to Product and Engineering by providing structured feedback on recurring needs or gaps seen in the field.

Join us as Platform Team Lead and take full ownership of the platform layer powering our AI-based, high-scale product. Youll lead a team of talented engineers, own strategy and architecture, and stay hands-on with critical design and development. This is a key leadership role where you'll shape the infrastructure, services, and tooling that drive everything we build.

Your responsibilities:
Define and evolve the long-term vision for Blinks application platform, translating product ambitions into a clear technical roadmap.
Lead, mentor, and grow a high-performing engineering team that values craftsmanship, autonomy, and rapid delivery.
Own key infrastructure components, ensuring performance, scalability, and security.
Partner closely with DevOps, Product, and peer engineering teams to ensure the platform scales gracefully as usage and feature complexity surge.
Foster a culture of continuous improvement, ownership, and innovation across the broader R&D organization.

We are looking for a DevOps Engineer to lead Observability and Continuous FinOps as core platform capabilities at our company.This is a hands-on platform role. You will own the systems, automation, and operating models that give engineers and leadership deep visibility into system health and cloud spend. You are a DevOps engineer first, with primary ownership over observability and cloud financial management.
What Youll Do
Own and operate our companys observability platform, including metrics, logs, traces, and alerting
Build observability-as-code and self-service tooling for development teams
Define and implement observability standards such as SLIs, SLOs, error budgets, and service health models
Lead our companys Continuous FinOps practice together with Engineering and Finance
Build and maintain cost dashboards, alerts, anomaly detection, and forecasting
Provide clear unit-economics and cost allocation across teams, services, and environments
Drive cloud cost optimization initiatives across compute, storage, and managed services
Build and maintain cloud infrastructure, CI/CD pipelines, and infrastructure-as-code
Partner closely with Engineering, Platform, and Finance stakeholders.

We are looking for a Director of Engineering to lead our growing engineering team and help shape the future of AI security. As a key leader in our organization, you will drive the development and execution of our technical vision, ensuring that our platform continues to scale and innovate. You will not only oversee ongoing engineering operations but also play a pivotal role in building and structuring the engineering organization from the ground up, fostering a high-performance culture, and implementing best practices. Additionally, you will take ownership of the core aspects of our companys product, driving the technical strategy and innovation required to develop and enhance its foundational capabilities.
Responsibilities
Lead and manage the engineering team, including hiring, mentoring, and developing engineers to maximize their potential and foster a culture of continuous improvement.
Develop and implement engineering strategies aligned with our companys business goals, focusing on scalability, reliability, and innovation.
Oversee the entire software development lifecycle, ensuring timely delivery of high-quality products while adhering to best practices in architecture and coding.
Collaborate closely with product, design, and other cross-functional teams to align engineering efforts with business and product priorities.
Establish and maintain engineering standards, processes, and tools to increase team efficiency and ensure code quality.
Drive technical initiatives and innovations, staying up to date with industry trends and integrating relevant new technologies into our companys technology stack.
Monitor and manage project timelines, budgets, and resources to meet company objectives and deliverables.
Act as a technical advisor to the leadership team, providing insights and recommendations based on technological expertise.

We are seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.

What youll do:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
Explore and implement novel applications of AI to enhance our automation capabilities and user experience.

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.
Responsibilities:
Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance - establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

We're seeking an individual who not only possesses technical skills but also boasts a strong intuition for UX and product considerations. If you thrive on collaborating closely with product managers, UI/UX designers and software engineers, we want you to join our team.
Responsibilities:
Take responsibility and lead the development of multiple frontend components and modules of the system in a dynamic startup environment.
Design, implement, and innovate, high quality user interfacing features and designs
Work closely with product managers and designers to deliver the best customer and user experience.

we are seeking a Hands-on Architect to design, build, and evolve the core of our companys next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

we are looking for a Backend Infrastructure Manager.
As an infrastructure team leader, you will play a pivotal role in shaping the core infrastructures that form the very DNA of .
The Team plays a pivotal role in laying down the foundational frameworks for secure and confidential computing.
By combining advanced security protocols with the latest innovations in confidential computing, we lead the charge in ensuring data security and integrity in all our operations. This unit is perfect for those who are eager to influence large-scale, transformative security practices and enjoy the challenge of developing state-of-the-art infrastructure technologies.
What Youll Do:
Lead and Mentor: Manage a team of talented developers, setting technical direction and providing mentorship to foster professional growth and inspire innovative solutions.
Confidential Computing Development: Drive key projects involving the design and deployment of confidential computing frameworks, setting the stage for the companys future security standards.
Innovative Strategy Implementation: Play a strategic role in influencing and advocating for the integration of new security technologies and protocols across our infrastructure.
C++ Development: Utilize your expertise in C++ to design robust, efficient, and secure software solutions that meet our high standards.
Collaboration and Knowledge Sharing: Work closely with cross-functional teams, leading workshops and presentations to share insights and innovations within the organization.
Production Issue Resolution: Tackle complex production and security challenges, developing robust solutions that enhance our overall operational security and performance.

Connecting exchanges, OTC desks, custodians, and wallets, the Network settles trillions in crypto trading volume, and delivers a seamless trading experience by reducing friction, unlocking capital efficiency and mitigating counterparty risk.
The Network Platform team is responsible for developing and maintaining robust and scalable infrastructure components used by Network applications across .
As a Network platform team leader, you will play a pivotal role in shaping the infrastructure of network with defining architecture, patterns and processes.
What Youll Do:
Lead and Mentor: Manage a team of talented engineers, set technical direction, and provide hands-on mentorship to drive professional growth and high-quality delivery.
High-Impact Ownership: Take full ownership of core Network systems, leading a high-impact domain with real influence on architecture, scalability, and long-term technical direction.
Infrastructure Development: Lead the development of foundational components and building blocks that support scale, performance, and a wide variety of Network use cases.
Platform Orientation: Understand a broad range of platform requirements and work closely with multiple product teams to define and execute the teams roadmap.
Collaboration and Knowledge Sharing: Work closely with cross-functional teams, and lead workshops and technical sessions to share knowledge, insights, and best practices across the organization.
Production Mindset: Own the availability, reliability, and operational excellence of Network platform components, ensuring the highest level of stability in production.

We are looking for a collaborative team player who is hungry to learn and eager to deliver high-quality code. You are someone who thrives on feedback, asks questions, and wants to understand the engineering behind production-grade distributed systems.
As a Software Engineer at our company, you will...
Work alongside senior engineers to develop features for our Model Registry and MLOps automation services, gaining experience with distributed microservices architecture.
Develop and maintain the SDKs and CLIs that Data Scientists and DevOps engineers rely on to interact with our platform and manage their ML lifecycles.
Learn to implement security and governance standards within the code, ensuring we ship safe, robust software to major enterprise customers.
Participate in architectural discussions. You will give and receive feedback daily, using open communication to improve your skills and the product.
Explore new tools and methodologies to improve our existing products and open-source components.

The Platform Services team builds the core backend capabilities that power all products. Every business unit relies on these generic, reusable services to operate, scale, and innovate.
We own both developer-facing platform components (APIs, SDKs, events, configurations, notifications, templates, etc.) and product-facing experiences used directly by customers. When a capability is commonly needed across multiple units, we productize it into a scalable platform service. As part of the Platform unit, we work closely with all R&D teams to ensure consistency, scalability, and operational excellence across .
The team is primarily focused on backend development but also includes frontend components, enabling end-to-end platform solutions.
As the Engineering Manager, you will drive the technical vision of our platform and empower every product team to build on secure, reliable, high-performing foundations.
You will be responsible for
Lead, inspire and mentor a team of talented engineers.
Operate as a cross-functional leader within R&D, coordinating across multiple teams to ensure strategic and operational alignment.
Work closely with the team to ensure the implementation of best coding and engineering practices.
Drive the design and architecture of platform services, ensuring scalability, maintainability, and alignment with overall technical vision.
Take ownership of project deliverables, ensuring timely and high-quality delivery.
Make an impact in the Platform Services domain by translating the needs into requirements and solutions.
Ensure that code quality, performance, best practices and design standards are met.
Collaborating effectively with other teams, while also showcasing independent problem-solving abilities.
Continuously improve the teams processes.