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As part of System Architecture group, we are looking for an experienced Web Architect to lead system and architecture for our Orchestrator DNOR.

As a Web Architect, you will be responsible for specifying high-performance, scalable web solutions. You will work closely with our development and product teams to ensure the architecture of web applications meets business requirements and performance goals.

Responsibilities:
Work closely with product, refining requirements and creating specifications along with development teams.
Perform spec reviews and provide guidance to team members in design reviews.
API design and integration.
Optimize web applications for performance and scalability.
Mentoring dev, review QA test plans.
Self-learning and innovation. Research and propose new technologies and approaches to improve our product.

As a Solution Engineer, you will play a pivotal role in designing, deploying, and optimizing our Network Cloud AI Infrastructure solutions. This individual contributor role requires a blend of technical expertise, leadership, and hands-on experience to implement cutting-edge solutions for our customers. You will collaborate with sales engineering teams, customers, and cross-functional teams - including Product Management, Solution Architects, Engineering, and Marketing - to define technical requirements, articulate solution value, and ensure successful deployment on-site.

Key responsibilities include guiding customers through the design and deployment process, aligning technical solutions with business needs, and providing critical feedback to improve our product offerings. This position demands strong technical acumen, exceptional communication skills, and the ability to lead complex, high-impact projects in dynamic environments.

Responsibilities:
Design and plan rack layouts and network topologies to support customer requirements.
Perform Data Center upgrades and ensure smooth deployment of our solutions.
Install and configure our products, ensuring optimal performance and customer satisfaction.
Design and implement compelling Proof of Concept lab setups, run them, and collect and document the results for the field consumption.
Develop and deliver HLD and LLD documentation for customer deployments.
Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
Engage with sales teams and customers to ensure success with major opportunities and deployments.
Introduce new products to the sales and support teams and to customers.
Deliver technical trainings and TOIs for support/sales engineers, partners, and customers.
Collaborate on product definition through customer requirement gathering and roadmap planning.

As a Solution Engineer, you will play a pivotal role in designing, deploying, and optimizing our Network Cloud AI Infrastructure solutions. This individual contributor role requires a blend of technical expertise, leadership, and hands-on experience to implement cutting-edge solutions for our customers. You will collaborate with sales engineering teams, customers, and cross-functional teams - including Product Management, Solution Architects, Engineering, and Marketing - to define technical requirements, articulate solution value, and ensure successful deployment on-site.

Key responsibilities include guiding customers through the design and deployment process, aligning technical solutions with business needs, and providing critical feedback to improve our product offerings. This position demands strong technical acumen, exceptional communication skills, and the ability to lead complex, high-impact projects in dynamic environments.

Responsibilities:
Building robust AI/HPC infrastructure for new and existing customers.
Technical hands-on role in building and supporting NVIDIA/AMD based platforms.
Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting.
Administer Linux systems, ranging from powerful GPU enabled servers to general-purpose compute systems.
Design and plan rack layouts and network topologies to support customer requirements.
Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
Perform Data Center upgrades and ensure smooth deployment of our solutions.
Install and configure our products, ensuring optimal performance and customer satisfaction.
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement.
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
Engage with sales teams and customers to ensure success with major opportunities and deployments.
Introduce new products to the sales and support teams and to the customers.
Deliver technical trainings and TOIs for support/sales engineers, partners, and customers.
Collaborate on product definition through customer requirement gathering and roadmap planning.

We are looking for an experienced software engineer who can drive the development of our infrastructure platform. You'll be working on cloud-based solutions, developing automation tools, and building systems that enhance our development and deployment capabilities. This role offers the opportunity to work with cutting-edge technologies while solving complex infrastructure challenges.

The Infrastructure team is responsible for building and maintaining core automation systems, cloud infrastructure, and developer tools that power our products. We work extensively with Python, Azure cloud services, and modern DevOps practices to create scalable and reliable solutions.

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 data-path group provides core components for our products. We design and develop the data plane features for a large-scale distributed system. For example, we own features related to forwarding information base, quality of service, security and telemetry.

We are seeking a highly skilled and motivated Senior Backend Developer to join our team. The successful candidate will play a critical role in developing our next-generation Automation Framework.

This framework will empower our customers and teams to create automation tests for our product quickly and efficiently, leveraging the power of AI chatbots to minimize the need for manual coding.

Key Responsibilities:

Join a team of exceptional, skilled, and experienced developers responsible for automation platforms.

Design, develop, and maintain the next-gen Automation Framework using Python.

Implement AI-powered chatbot functionality to assist users in writing automation tests seamlessly.

Operate in a dynamic, fast-paced, and efficient continuous integration (CI) environment.

Collaborate with cross-functional teams, including QA, DevOps, and Dev teams, to ensure high-quality deliverables.

Write clean, maintainable, and well-documented code that adheres to best practices and industry standards.

Work with network infrastructure components such as routers and switches.

Participate in code reviews, mentor junior developers, and drive continuous improvement within the team.

Stay updated with emerging technologies and propose innovative solutions to enhance the frameworks functionality and usability.

Develop and optimize a scalable infrastructure to support applications, leveraging various tools, technologies, and frameworks.
Own infrastructure features from design through to production, ensuring high standards for performance and reliability.
Engage with customers to understand infrastructure needs and design effective solutions to address them.
Collaborate on cross-functional initiatives with teams in DevOps, infrastructure, data engineering, and backend development to ensure seamless deployment, security, and operational efficiency across the ecosystem.

Build Scalable Solutions: Develop a robust, scalable system using a mix of languages, frameworks, and machine learning models. Youll take full ownership of features, guiding them from idea to live product.
Customer-Centric Development: Collaborate directly with customers to understand their needs and integrate valuable insights into your work.
Cross-Disciplinary Innovation: Engage in initiatives across various tech domains from DevOps and infrastructure to data engineering and full-stack development expanding your impact company-wide.

Design and develop application security software
Research and implement new product features
Come up with innovative solutions for hard to solve problems

As a Staff Software Engineer on the Database team, you will be building Pinecones core offering - our vector database. You will take part in the entire development cycle - designing database components, implementing them, and running them in production. Your role will focus on designing and building the cloud infrastructure and services which will allow Pinecone to scale to Enterprise customers (for example - BYOC deployments). You will be building a highly complex distributed system that runs on multiple cloud providers, where high performance and large scale matter the most. As we all have a high sense of ownership, you will also be a generalist, work directly with customers, with product managers, and mentor other engineers.

Design, build and think over the core decision system at Forter.
Self-managing projects planning, milestones, designs, and estimations.
Holding yourself and others to a high standard when working with production systems. We take pride in our tests, monitoring & alerting abilities just as we do with our systems.
Debugging complex problems across the whole stack, dealing both with high-throughput systems and low-latency systems.
Working with colleagues from various disciplines - Research Engineers, Analysts, Quants and Data Scientists (all of whom write production code!)

Lead and mentor a team of 6 talented software engineers, fostering a culture of delivery, collaboration, and excellence.
Take our Fraud Prevention offering to a whole new level of UX, all while building analytical and operational flows that convey the story.
Collaborate closely with product managers, product designers, and executives to iteratively develop, improve, and release.
Balance priorities between new feature development, stability, and system resilience.
Act as an owner of mission-critical systems, leading technical vision and investment discussions in partnership with the product team.
Youll be technically engaged, with a willingness to dive into code reviews, architectural discussions, and occasional hands-on contributions when necessary to unblock the team or guide technical decisions

As the Data Stores team, we are responsible for implementing and delivering database solutions that handle and store petabytes of data. Our focus is on scalability, low latency, high throughput, and geo-distributed database systems, ingesting terabytes of data every day. We provide seamless, reliable, and scalable database solutions, which are key components for Machine Learning Models that deliver highly accurate, real-time risk decisions to protect our customers from fraud. Continually adapting to the evolving landscape and trends in databases, we implement new database offerings to ensure What you'll be doing:
Design, implement, and maintain scalable, reliable, and efficient database solutions.
Lead and mentor engineers to ensure the seamless operation of our database systems.
Investigate and implement performance and cost optimizations for our database solutions.
Create or introduce tooling and processes to support the operational aspects required for maintaining large database solutions.
Contribute to the continual improvement of our database infrastructure.
Stay updated with the latest trends and technologies for databases, and implement new database offerings as needed.
Participate in on-call rotations to ensure the availability and performance of our database systems.
innovative solutions stay ahead in the market.

We are looking for a talented engineer to design, develop, and optimize high-performance, large-scale distributed systems that power data transport and processing across ecosystem. As part of our Event Streaming team, you will play a key role in architecting a robust, real-time data platform that enables engineering and analytics teams to seamlessly move, process, and refine data. Your work will directly impact ability to make data-driven decisions, enhance fraud prevention strategies, and scale our infrastructure, acting as a force multiplier for development teams across the company. This is a position for engineers who enjoy solving complex challenges and building systems that drive real business impact.

What you'll be doing:

Design and implement high-performance, low-latency, large-scale data pipelines
Maintain and optimize data processes and applications
Work alongside diverse, high-performing, experienced engineers
Research and define new data practices to support Forters growth

We're looking for people that are excited to be part of a great team, where anyone and everyone can drive innovation and make a difference.
Check out some past and upcoming projects to see the type of work we do -

Develop a fully automated dispute platform to prevent, deflect, and recover chargebacks to reduce revenue loss. The system will support generating millions of dollars in yearly revenue, remove friction, and streamline obsolete operational processes.
Build and maintain a high-performing, scalable chargeback management system handling tens of thousands of requests daily, originating from various input sources and reporting at changing rates.
Define and optimize the scale, reliability, observability, and SLOs of the chargeback management platform.