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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.

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 highly performant, scalable chargeback management system, originating from various input sources and reporting at changing rates.
Define and optimize the scale, reliability, observability, and SLOs of the chargeback management platform.

We are looking for a hands-on developer to join an innovative and talented R&D team. To join us you will need to deliver high-quality code using the latest cloud frameworks and technologies.
As a Back-End Engineer you will...
Be responsible for all development aspects from design to production of a cloud-native product
Write high-quality, testable and efficient code in Java and Go.
Initiate and promote new ideas for continuous improvement of product functionality.
Work closely with team members and product colleagues.
Participate in the architecture and development of the DevOps core products
Design, develop, and maintain back-end services.
Write high-quality, clean, efficient, and maintainable code while adhering to best practices and coding standards.
Stay up-to-date with industry trends and emerging technologies related to DevOps and the software development lifecycle.
Contribute to architectural discussions and design sessions to promote scalability and maintainability.

The company is growing rapidly, and we seek a DevOps engineer to join our technology department. In this role, you will be responsible for the operations and infrastructure of our SaaS solution and for the tools that make our R&D productive and efficient.

The Role

Design and implement end-to-end DevOps delivery solutions
Collaborate with the R&D to optimize development, deployment, reliability, failover scenarios, and scale
Work on CI/CD, automations and DevSecOps domains
Lead POC and tech selection processes from idea to implementation.
Manage centralized observability and governance solutions
Develop and integrate infrastructure tools in support of our production
Automate the provisioning and configuration
As a core member of the team, you will participate in 'On-Call' duties on production systems, working in non-conventional hours including weekends and holidays (from time to time)

We are seeking a Software Engineer to investigate the performance of the cycle-accurate CPU simulations. In this key role, you will investigate CPU and system performance in both simulated and real-world environments, conduct comparative analyses with competitor compute accelerator chips, and study large systems down to minute detail.
If you love complexity and can handle multiple abstraction levels with ease, this role is for you. You'll need to be comfortable working with bits and enjoy diving into the details.
Responsibilities
Gain a detailed understanding of our hardware components
Thoroughly understand how our CPU simulation software replicates hardware
Develop tools to identify and troubleshoot inaccuracies in the simulation softwares modeling of the hardware
Collaborate with the team to define new hardware features that improve performance
Identify performance bottlenecks in real-life code

We are seeking a talented Deep Learning Engineer with extensive experience in running, profiling and optimizing AI models and end-to-end workflows. This position sits at the intersection of computer science, hardware architecture and ML computational algorithms, requiring technical expertise, theoretical knowledge, and creative problem-solving.
Responsibilities
Profiling and analyzing AI models in hardware and software
Identifying bottlenecks and optimizing model performance on novel architectures.
Deriving next-gen software and requirements and specifications.
Collaborating with software and hardware architects to define and achieve numerical requirements.

We are seeking an experienced and highly skilled Software Engineer to join our Core Software group to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues.
As a part of the Runtime team, you will work on design and implementation of new and enhanced features of the runtime/embedded OS stack to support high performance computing and AI applications in the Maverick accelerator runtime environment.
You will work closely with software engineers, hardware engineers, compiler developers and other stakeholders to enable the most efficient execution of applications on a large scale, multi threaded and highly distributed system across multiple disciplines with a deep OS Internals point of view.
Responsibilities:
Work on design and implementation of new and enhanced features of the runtime/embedded OS stack to support high performance computing and AI applications
Develop the runtime environment for accelerating massively parallel applications execution and handle OS/device process and thread lifecycle
Work on system software support for the next generation Maverick system
Define feature development scope and plan for successful product delivery
Wide system impact through collaboration with software engineers, hardware engineers, compiler developers and other stakeholders