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We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You will design and implement ML/AI infrastructure components (model‑serving APIs, inference pipelines, feature stores).
Collaborate closely with data scientists and data engineers to productionize models and automate retraining workflows.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Containerize and deploy ML models at scale.
Build and maintain CI/CD pipelines for automated model training, testing, and deployment.
Work with data engineers to integrate streaming/batch data into feature pipelines
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.

Join a cutting-edge team at our company and be a key player in shaping the future of endpoint security. You'll work alongside security experts to design and implement innovative solutions that protect organizations from emerging threats.
Leverage your C#/C++ skills to develop efficient and scalable code for our Windows-based endpoint security software. Your work will directly impact the security posture of businesses worldwide.
Contribute to the entire product lifecycle, from early-stage prototyping to final deployment. You'll have the opportunity to see your ideas come to life and make a real difference.
Collaborate with a talented team of security experts, project managers, and engineers to solve complex challenges and deliver exceptional results.
Enjoy a supportive and growth-oriented environment that encourages professional development and fosters a sense of community.
Key Responsibilities
Design and implement robust endpoint security features for Windows platforms.
Write clean, efficient, and maintainable C#/C++ code.
Collaborate with cross-functional teams to deliver high-quality solutions.
Participate in all phases of the software development lifecycle.
Stay up-to-date with the latest security trends and technologies.

In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.

We are seeking an exceptional Data Scientist to lead applied research in machine learning and drive the AI transformation . This pivotal role will shape the next generation of customer-facing products and internal tools, helping to redefine the trading experience through advanced AI.
Key Responsibilities:
Design and build end-to-end AI workflows including synthetic dataset generation, data preprocessing, model development, deployment, and agent orchestration.
Design and implement LLM (Large Language Model) evaluation frameworks to assess new AI models, techniques, and parameters.
Process and analyze large-scale structured and unstructured data from databases, APIs, and develop machine learning models for time series forecasting, regression, and classification tasks.
Design and implement enterprise-grade RAG systems using LLMs, vector databases, GraphRA, G, and intelligent agents.
Optimize AI-user interactions through advanced prompt engineering and retrieval strategies.
Translate cutting-edge AI research into practical, scalable tools for internal and customer-facing applications and collaborate with global and cross-functional R&D teams to drive innovation across product lines.
Apply MLOps and LLMOps best practices to ensure robust model training, deployment, and monitoring pipelines.

We are looking for a Product Manager
What Youll Do - Responsibilities
Gather requirements from different sources and stakeholders - understand existing and future use cases, discuss alternatives using supporting data, and evaluate pros, cons, and ROI.
Prioritize R&D efforts by contributing your insights to the Product Roadmap.
Take full responsibility and ownership of the product from inception to production.
Guide and work closely with the R&D team throughout the end-to-end development process.
Monitor KPIs and business success using various BI tools (Tableau, Heap).
Drive cross-department project management for effective execution.
Be the domain expert (SME), mastering customer needs and product capabilities.

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate solid software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.

We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Core team builds the technical foundation behind Googles flagship products.
Responsibilities
Create helpful user-facing channels and cross-product experiences which drive ecosystem adoption, and add value to users, across iOS, Android and desktop.
Explore new initiatives and improvements on how to get users more engaged with Google products and features.
Scope or create new user facing Growth initiatives, related to users onboarding, education, and better connecting the Google Ecosystem.
Increase robustness of the existing products, improving data analytics pipelines and analytics, ML capabilities, better experimentation capabilities, platformizations, alerting, and improving campaigns management.
Improve and scale products by UX improvement, increase latency and products quality, content improvement and experimentation.

Cyberint, a market leader in External Risk Management, empowers global organizations to detect, respond, and remediate external threats efficiently. Now part of our company, Cyberint continues to grow and innovate at the intersection of cybersecurity and cloud-native SaaS technologies.
We are seeking a proactive and experienced Backend Engineer to join our global organization. This critical role will oversee the enforcement of feature and release cycles, drive best practices within the R&D team, manage incidents, and provide ownership for key deliverables. The ideal candidate will have a strong background in project management, process optimization, and the ability to bridge strategic goals with execution.
Your Role and Impact
As a pivotal member of our team, you will drive Cyberint toward its ambitious engineering goals, collaborating extensively across the organization with teams from Product Development to Security Research and Analysts. Your role will span the full software development lifecycle, encompassing design, architecture, and production deployment. This position demands a blend of robust development skills and technical problem-solving prowess.
Key Responsibilities
Your Role and Impact
As a pivotal member of our team, you will drive Cyberint toward its ambitious engineering goals, collaborating extensively across the organization with teams from Product Development to Security Research and Analysts. Your role will span the full software development lifecycle, encompassing design, architecture, and production deployment. This position demands a blend of robust development skills and technical problem-solving prowess.
Key Responsibilities
Spearhead end-to-end development of software components, from initial design through to architecture and production deployment.
Collaborate closely with cross-functional teams, including Product Managers, Security Researchers, and Analysts, to achieve seamless integration and alignment with company objectives.
Employ state-of-the-art technologies to enhance our Threat Intelligence solutions, ensuring scalability, reliability, and effectiveness.

We are looking for a highly motivated Web engineer specializing in creating exceptional user experiences for our users.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with backend engineers, quality engineers, product managers, designers, and more.
Our team strives to set the bar for trading Web user experience. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Architect, implement, and maintain web-based client-side.
Optimize code for performance, stability, and maintainability.

We are looking for a highly motivated Web engineer specializing in creating exceptional user experiences for our users.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with backend engineers, quality engineers, product managers, designers, and more.
Our team strives to set the bar for trading Web user experience. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Architect, implement, and maintain web-based client-side.
Optimize code for performance, stability, and maintainability.

We are looking for an excellent, hard-working, and talented software engineer for the Endpoint Security Products Group that has a passion to explore new areas, has a desire to learn and gain experience while working on our SBA Agent product by solving technological challenges with a proactive approach to constant improvement.
You will have the opportunity to make an impact on the design, architecture and implementation of Endpoint Security Products product and define our next generation Windows security products.
We use an interesting and mixed technology stack (mainly C#/C++) on Windows environment
Key Responsibilities
Work on client-side Backend in different languages
Be part of the team that designs and implements Endpoint Security Products solution
Work with other team members to investigate design approaches, prototype and assess technical feasibility
Work on a product with cross-organization integration requirements
Investigate and solve issues arrive from customers.

Cyberint, a market leader in External Risk Management, empowers global organizations to detect, respond, and remediate external threats efficiently. Now part of our company, Cyberint continues to grow and innovate at the intersection of cybersecurity and cloud-native SaaS technologies.
Join Our Operations Team
We are seeking a proactive, experienced Site Reliability Engineer (SRE) to join our dynamic Operations team. Youll be working on a cutting-edge SaaS solution that runs on AWS (EKS-based Kubernetes infrastructure), supporting an architecture with many moving parts. If you're driven by reliability engineering, love automation, and want to make an impact on mission-critical platforms, this role is for you.
What Youll Do
As an SRE at Cyberint, you will be instrumental in ensuring the observability, stability, and scalability of our platform. You will develop automated solutions and monitoring tools to proactively detect and respond to incidents, improve system resilience, and collaborate with engineering teams across the company to embed operational excellence into our product lifecycle.
Additionally, you will help evolve our AI-driven operational and monitoring tooling, including our on-call assistant bot, which leverages AI technologies to streamline incident resolution, automate repetitive tasks, and support real-time decision-making for engineers.
Key Responsibilities
Design, implement, and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) to detect and prevent reliability issues.
Develop tools and automation (Python, Bash, etc.) for improving infrastructure reliability and operational efficiency.
Collaborate with R&D and Product teams to embed reliability-first principles into every stage of the development process.
Participate in and improve incident response processes, including running blameless postmortems and implementing preventive measures.
Enhance our Infrastructure-as-Code (IaC) and CI/CD practices to streamline deployments and reduce risk.
Maintain and extend internal AI-driven tools, such as bots that support SRE workflows (on-call management, triaging, etc.).
Document infrastructure, playbooks, and operational procedures to facilitate onboarding and knowledge sharing.

we are seeking an experienced and motivated Group Manager to lead the development of our Windows Endpoint Security Client. This role is a key part of our R&D organization and will be responsible for delivering advanced protection and detection capabilities to millions of enterprise endpoints worldwide.
You will lead a team of approximately 30 engineers, driving all aspects of development from design and implementation to performance, security, and maintainability, while working closely with product and cross-functional teams
Key Responsibilities
Lead a group of ~30 engineers focused on the Windows Endpoint Security Client, including architecture, development, quality, and delivery.
Own the technical strategy and execution for the Windows client, ensuring alignment with product requirements, threat landscape evolution, and customer feedback.
Drive the development lifecycle from planning and design to testing and deployment using modern, agile practices.
Ensure delivery of secure, high-performing, and robust client software, compatible with evolving Windows platforms and enterprise environments.
Collaborate with Product Management, Security Research, QA, and cross-functional R&D teams to build innovative and differentiated features.
Champion engineering best practices in code quality, testing, automation, and CI/CD pipelines.
Support escalations and field issues, ensuring customer success and product reliability in real-world deployments.
Build and foster a high-performing, collaborative, and engaged engineering team.

we are seeking a data-driven and strategic Cloud FinOps Analyst to enhance our cloud cost visibility, drive cost efficiency, and influence strategic decision making across our engineering organization. In this role, you will play a key part in building and maintaining actionable insights into cloud usage and spend, collaborating with engineering, finance, and product teams to shape a data-informed FinOps practice that supports scale and sustainability.
As a Cloud FinOps Analyst at our company, you will...
Build and maintain cloud cost and usage visibility, providing summaries and detailed usage statistics for resources across the public clouds.
Analyze cloud cost and business data, and propose solutions to problems using advanced analysis methods.
Collaborate with the development and finance teams on cost optimization, budget, forecasting, and showback.
Build a strong correlation between cloud cost and the business usage data represented in a unit economics model.
Develop and track key metrics and performance indicators to evaluate and maintain cloud spend health.
Create real-time alerts based on the data models to identify anomalies in the cloud spend.
Effectively use cloud cost management tools.
Support cloud tagging strategies and ensure accurate cost attribution across teams and products.

We are looking for a highly skilled and experienced Performance Tech Lead to drive our performance engineering strategy and ensure our systems are highly scalable, reliable, and efficient.

This role is a unique opportunity to combine technical leadership, hands-on optimization, and cross-team collaboration, ensuring performance best practices are embedded across the development lifecycle.

As a Performance Tech Lead, you will define and implement performance testing frameworks, analyze system bottlenecks, and work closely with development, DevOps, and architecture teams to optimize application and infrastructure performance.

You will also provide performance as a service infrastructure, developing self-service tools and frameworks that enable development teams to independently run, analyze, and fine-tune performance tests based on their specific needs.

This role requires deep hands-on expertise, strong analytical skills, and a proactive approach to performance optimization.

Your Role & Impact:
Architect, develop, and scale performance testing infrastructure for load, stress, endurance/longevity, and scalability testing.
Provide performance as a service, building self-service performance testing frameworks that allow development teams to execute and analyze tests autonomously.
Establish and enforce performance KPIs, ensuring optimal system behavior under various workloads.
Conduct in-depth performance analysis, identifying and resolving bottlenecks in APIs, databases, agent, caching, and distributed systems.
Lead the adoption of performance best practices, embedding them into the development and CI/CD pipelines.
Provide mentorship, best practices, and technical guidance to engineering teams, ensuring a performance-first mindset.
Enhance observability and monitoring capabilities, implementing APM tools like Prometheus/Grafana.
Analyze customers incidents, proactively identifying trends and areas for performance improvement.
Advocate for a shift-left approach, ensuring performance considerations are addressed early in the SDLC.