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As a FinOps Engineer, you'll be responsible for managing and optimizing the financial aspects of our cloud computing operations, including monitoring and controlling AI-related costs. In this role, you will work collaboratively as part of a team, demonstrate initiative, think creatively, and drive innovative solutions. You'll work closely with the CFO and VP of R&D to ensure cost efficiency, budget adherence, and financial transparency across our cloud services.
In your day-to-day, you will:
Work directly with different external hosting providers to manage hosting costs
Manage and monitor cost visibility for multi-data center architecture in a large-scale, multi-cloud environment
Work with financial teams on production-related budgets, forecasts, and expense reports
Create financial models to calculate TCO of new projects
Create financial and usage dashboards, as well as frameworks for efficiency & costs
Partner with the development, support and devops teams to encourage financial responsibility
Stay updated on industry trends and best practices in cloud cost optimization and FinOps methodologies
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.

Were building a secure, high-performance Enterprise Browser that integrates deeply with the Cloud and delivers exceptional usability, security, and manageability for enterprise users. We are looking for a talented Software Engineer with deep systems experience and a passion for modern, secure browser engineering.
Responsibilities:
As a Software Engineer on the Enterprise Browser team, you will:
Design, implement, and maintain core browser components written in modern C++ / Rust / TS, focusing on performance, security, and stability in a multi-threaded environment.
A passion for solving problems and providing workable solutions.
Collaborate across teams (product, UX, backend engineering, security) to define specifications and deliver new features.
Optimize performance and memory usage for complex browser subsystems.
Participate in all phases of the development lifecycle, from design and prototyping to testing, release, and continuous improvement.
Ensure code quality and reliability via unit/integration testing, code reviews, and automated CI pipelines.
Keeping abreast of new technologies and finding opportunities to keep our technology stack up to date.
You will help shape the next generation of our enterprise browser: solving challenging problems at the intersection of security, performance, and user experience.

Were looking for a bright and passionate Senior Software Engineer to join our Access Clients team. In this critical role, you will design, develop and maintain core components of our Access Clients which are used by hundreds of thousands of users worldwide, on various households and enterprise environments. You will help taking the Windows Client to the next level of functionality and stability, developing core Service functionality as well as user-facing components.
Responsibilities:
Developing core components for C++ Windows Service and applications.
Working on the cross-platform C SDK library which runs on all major operating systems.
Researching new technologies.
Taking ownership on new features and leading collaborative efforts.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with quality assurance, technical support, product-management and other engineering teams to deliver integrated features.

Were looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will develop our data platform, working on cloud-based microservices data pipelines. As we are building the company data platform, it has direct impact on our customers and also enables many of the other groups in the organization. You will also be responsible for building microservices that need to work on big data scale (about 1M records/sec) in a law latency as part of a dynamic team.
Key Responsibilities:
End-to-end development of company massive data infrastructures and services.
Researching new technologies and adapting them for use in the companys product
Working closely with the product, DevOps, and security teams.

We are looking for a bright, passionate and experienced Apple Platforms Software Engineer to join the team. In this critical role, you will be developing our Client Application which is used by hundreds of thousands of users worldwide. You will be owning aspects of the applications full life cycle, from design, and development to CI/CD.
Responsibilities:
End-to-end ownership of our macOS/iOS clients, designing, developing and delivering new features from scratch.
Assisting DevOps with maintaining and enhancing our build system.
Researching Apple platform and ecosystem for relevant technologies.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with QA, automation, product-management and other engineering teams to deliver integrated features.

Were hiring a Senior Full Stack Engineer to help evolve AI-first AP Automation platform.
Youll be a key player in building a unified system that gives companies full control and visibility over spending, from invoices to AP credit cards to payments.
This is a high-impact role in a fast-growing startup where AI is not just a feature but a foundation.
Youll architect and deliver scalable, intuitive web experiences that drive efficiency, transparency, and collaboration across the finance workflow.
What You Will Do:
End-to-End Development: Build and enhance our platform using Java and React, delivering seamless, performant user experiences across web applications.
AI-Enhanced Feature Delivery: Work closely with AI and product teams to integrate smart automations, faster approval workflows, and contextual user assistance throughout the application- MUST
Performance Optimization: Ensure responsiveness and scalability of the application, handling large data sets and user volumes efficiently.
Collaborative Problem Solving: Partner with designers, PMs, and fellow engineers to transform business needs into elegant technical solutions.
Clean Code & Best Practices: Write robust, maintainable, and testable code. Participate in code reviews and contribute to engineering excellence.
Continuous Improvement: Keep up with new trends and technologies-especially in AI/ML-and look for opportunities to evolve our systems and architecture.

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.

We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).

We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms.
If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems - we want to hear from you!
Responsibilities:
Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure).
Manage and evolve virtualization platforms such as VMware and KVM (Proxmox).
Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices.
Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization.
Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI.
Automate infrastructure provisioning, configuration, monitoring, and operational workflows.
Build and maintain internal tools to improve developer experience and engineering productivity.
Ensure system reliability, performance, and cost optimization across cloud and on-prem environments.
Maintain high security standards, compliance, and operational best practices.
Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments.
Develop and maintain clear technical documentation.

We are seeking a talented and passionate Software Engineer to join our NIC team, working at the forefront of AI datacenter infrastructure. In this role, you will develop and optimize the software stack powering high- performance NICs deployed in large-scale AI training and inference clusters. You will collaborate closely with hardware, networking, and AI framework teams to ensure our NIC stack delivers maximum throughput, minimal latency, and seamless integration with GPU computing frameworks and collective communication libraries.
Key Responsibilities
● Design, implement, and optimize L2 and RDMA features for third-party NIC hardware
● Design and develop tools for real-time NIC performance monitoring, profiling, and telemetry in AI datacenter environments. Analyze end-to-end distributed training and inference bottlenecks.
● Develop, maintain, and extend NIC drivers and firmware interfaces within the Linux kernel network subsyste
● Collaborate in the evaluation and integration of upstream kernel, vendor, open-source NIC features,
Hardware, Networking, QA, and AI Framework Integration teams
● Implement, integrate and tune RoCEv2 / lossless Ethernet transport for AI workloads requiring ultra- low latency with GPU programming frameworks (CUDA, ROCm)
● Write production-grade, well-tested, and thoroughly documented code following team engineering standards and participate actively in code reviews, architecture discussions, and technical design sessions.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

As a Senior Full-Stack Engineer , youll be at the forefront of building and scaling our product from the ground up. Youll work closely with your team, as well as a product and product designer, to design and implement both the front-end user experience and back-end logic that powers our platform.

Youll play a key role in creating modern UI components, building API services, and contributing to core architectural decisions in a high-impact, low-ego team environment.

What youll do:
Design and implement scalable Senior Full Stack Engineer features and components using NodeJS and React

Build and maintain robust APIs and data pipelines to support the platform

Collaborate closely with product, design, and engineering leadership on architecture and UX

Participate in code reviews, testing, CI/CD, and overall platform improvements

Bring creativity, curiosity, and best practices to everything you build

If youre looking to build something big, solve real problems, and grow fast-wed love to meet you.

Responsibilities:

Own, enhance, and improve core platform

Build and maintain systems for collecting and processing metrics from client environments

Focus on system efficiency and resilient infrastructure

Integrate well-known SaaS platforms into big data repository (e.g., major cloud providers, Datadog, Snowflake)

Optimize Spark and Airflow processes

Contribute to data design and platform architecture while working closely with other business units and engineering teams

Face the challenges of testing and monitoring large-scale data pipelines

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.