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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.

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

We provide a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.

Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs.

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback.

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production.

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product.

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs.

Optimize model performance, inference time, and cost efficiency within AWS infrastructure.

we are looking for a Backend Team Lead for our global team.
What You Will Do?
Lead the design, development, and optimization of core backend services using Java and modern JVM technologies.
Own the architecture and performance of mission-critical components: data ingestion, processing pipelines, distributed services, storage abstractions, and internal frameworks.
Drive large-scale refactoring, modernization, and reliability initiatives.
Establish and maintain high engineering standards, code quality, and best practices across the entire R&D
Build and improve systems that handle high throughput, low latency, and massive data scale.
Work closely with DevOps/SRE/R&D teams to strengthen infrastructure, observability, automation, and deployment practices.
Diagnose complex production issues spanning multiple services, layers, and technologies.
Continuously improve system performance, resource efficiency, and cost footprint.
Lead, mentor, and grow a team of backend engineers and define best practices for the entire R&D
Conduct technical reviews, coaching, and hands-on training to elevate the teams skill set and the R&D
Collaborate with cross-functional teams to understand platform needs and translate them into a clear engineering roadmap.

we are looking for a DevOps Team Lead for our global team.
As our DevOps Team Lead you will work with cutting-edge technologies and take ownership of building and evolving a scalable, globally distributed infrastructure.
The Opportunity:
Lead and mentor DevOps engineers, providing technical guidance, setting best practices, and supporting professional growth.
Collaborate closely with engineering, security and data teams to deliver scalable and reliable solutions.
Design, architect, deploy, and maintain robust cloud infrastructures across AWS and Azure.
Own and continuously improve CI/CD pipelines to support automated deployment, testing, and scaling across multiple environments.
Implement and manage monitoring, logging, and alerting solutions to ensure system reliability and performance.
Provide hands-on troubleshooting and resolution of complex infrastructure issues across production, staging, and development environments.
Promote operational excellence, security best practices, and cost optimization across the cloud environment.
Act as a technical leader and decision-maker, balancing hands-on execution with strategic planning.

Were hiring a Senior Full Stack Engineer to help evolve our 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 searching for a Software Engineer to join our digital assets group, a group within tasked with creating solutions for digital assets trading and management. You will be part of a strong and dynamic team of experienced developers and researchers that together develop and maintain all elements of the trading infrastructure, while using cutting edge technologies to overcome our unique trading challenges.
We write almost all of our tools in the Rust programming language for superior performance and safety.
The role focuses on developing and maintaining an in-house platform that manages, controls and monitors our ever-growing set of tools and applications. The tools you will write and maintain have challenging requirements on all fronts - performance, resilience, correctness and more.
In this role you can expect to challenge yourself daily and be creative to solve difficult technical problems in a fast-paced and energetic environment, while exposed to a wide range of technologies and challenging problems which require high availability, high-throughput, and latency-sensitive solutions in a cloud environment.

We are looking for an experienced DevOps Manager to lead and grow our DevOps function. This role combines people leadership, technical direction, and ownership of the infrastructure, tooling, automation, and operational practices that power Stamplis production environment.

You will manage DevOps Engineers, hire and onboard an additional team member, and drive the strategy, execution, and evolution of Stamplis internal DevOps platform. You will work closely with Engineering, Data, AI, Product, and Security teams to improve developer experience, enable fast and safe delivery, and keep production stable.

This role requires a strong hands-on DevOps / Platform Engineering background, combined with proven leadership capabilities. If you believe DevOps should operate as a self-service platform, love automation, and think in systems and end-to-end flows, keep reading.


What You Will Do
Lead, mentor, and manage a DevOps team, fostering ownership, excellence, collaboration, and continuous improvement.
Own the DevOps roadmap, priorities, execution, and delivery, aligned with Engineering, Data, AI, Security, and business goals.
Provide technical and architectural guidance across infrastructure, CI/CD, cloud operations, automation, observability, security, and platform engineering initiatives.
Build and evolve our internal DevOps platform, creating self-service capabilities, internal services, and golden paths that scale across teams.
Own CI/CD end-to-end, including Jenkins, GitHub, and GitHub Actions pipelines from commit to production.
Oversee and evolve our AWS stack, including ECS, EKS, Lambda, DynamoDB, Redshift, S3, DocumentDB, networking, IAM, observability, and deployment patterns.
Enable MLOps and data workflows using tools such as Airflow, MLflow, and Jupyter Notebooks.
Drive an automation-first mindset through Infrastructure-as-Code, scripting, internal tooling, and reusable components.
Lead cost optimization efforts with a FinOps mindset, including visibility, budgets, rightsizing, and workload efficiency.
Ensure security is embedded into DevOps practices, including least privilege, secrets management, vulnerability scanning, secure SDLC, and incident readiness.
Leverage AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, and ChatGPT Enterprise to improve team productivity and delivery speed.
Collaborate closely with cross-functional stakeholders to unblock delivery, improve developer experience, and maintain production stability.

we are looking for an experienced Data Center Operations Engineer to join our IT department. In this role, you will maintain and support a large-scale global server and GPU infrastructure, monitor and troubleshoot hardware failures, and collaborate with senior system specialists to resolve complex issues across production and research environments.
We offer a dynamic, innovative production and research environment and expect a strong commitment to maintaining high service availability, performance, and reliability.
Responsibilities :
Deploy (rack and cable) new servers, GPUs, and infrastructure hardware.
Monitor and troubleshoot IT infrastructure hardware issues across all company data centers.
Coordinate vendor engineers site visits.
Perform hardware break/fix activities including replacement of drives, RAM, CPUs, GPUs, power supplies, and other server components.
Maintain firmware versions up to date.
Manage company data center inventory.
Monitor and manage DC environment parameters including power usage, airflow, cooling, and rack capacity.
Support and keep hardware in an high-performance compute environments used for compute-intensive workloads and research activities.

We are looking for a Software Engineer specializing in ML Systems Engineering to join Development department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

We are looking for an experienced Data Science Manager to lead and grow our Data Science team. This is a managerial role focused on leading a team of Data Scientists while driving the strategy, execution, and delivery of impactful AI and ML initiatives across our SaaS platform.

You will be responsible for both people leadership and technical direction - ensuring high standards of execution, mentoring team members, and aligning data science efforts with product and business goals. This role requires a strong hands-on background combined with proven team management experience.

What You Will Do
Lead, mentor, and manage a team of 7-10 Data Scientists, fostering a culture of ownership, excellence, and continuous learning.
Own the teams roadmap, prioritization, and delivery of AI initiatives.
Provide technical and architectural guidance across projects.
Drive end-to-end execution of data science solutions - from problem definition and research to modeling, evaluation, deployment, monitoring and enhancement cycles.
Collaborate closely with Product, Engineering, and Business stakeholders to translate business needs into scalable AI solutions.
Ensure production-grade standards, model performance monitoring, and continuous improvement.
Stay up to date with advances in machine learning, GenAI, and LLM technologies, and translate them into business impact.
Take responsibility for hiring, onboarding, and developing top data science talent.

we are looking for a Network engineer to join our IT Network team. We are looking for an all-around player who will join our network team performing a variety of tasks including WAN/LAN infrastructure Cloud networks and High-performance networks support and maintenance and Developing/Automating the IT infrastructure.
Responsibilities:
Maintaining the network's integrity including implementing new systems, troubleshooting and repairing network issues, as well as developing, applying and enforcing best practices and policies
Defining, installing and maintaining new network solutions
Monitoring the network performance over time
Managing multi-vendor environment (Juniper, Cisco, Arista, Dell, Fortinet)
NETOPS attitude (network as a code, network automation, auto provision)
Tier 3 and tier 4 troubleshoot and support
Supporting various development Departments.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across Stamplis B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.

This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.

What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across Stamplis products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

we are looking for a Researcher.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on Finals financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Finals Algorithms

We are searching for an innovative Software Engineer that will join us and be part of a SW team
In this role you'll:
Be responsible of the full life cycle development of several key applications including: Technical and statistical research, design, coding and integration
Developing and integrating new and existing software as part of a large-scale system
Tackle tough problems and find creative ways to solve them
Write high quality, functional code using C++/Rust development
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Manage and complete tasks using TDD, continuous integration and modern development processes
Coach and mentor other developers and help them elevate their skills while investing in your personal growth
Be working independently but as a part of a strong and collaborative team

We're looking for an SVP of Engineering to scale our AI-powered platform and deliver products that protect millions of customers worldwide.
You'll lead our global engineering and data science organization as we build the future of insurance, where cutting-edge AI meets human-centered design. This role sits on our executive team and reports directly to our Chief Product Officer, driving technology decisions that create real customer value.
We believe two things matter for every leadership role leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
In this role you'll
Build and execute a technology strategy that turns vision into scalable, secure platforms customers love
Lead and mentor senior engineering leaders while fostering a culture where speed meets quality
Translate product roadmaps into multi-year engineering plans that balance innovation, reliability, and cost
Oversee complex delivery across software, data, AI/ML, and infrastructure - always with product outcomes in mind
Drive talent strategy for engineering teams, from hiring plans to performance management and retention
Represent engineering in executive discussions, communicating progress and trade-offs to drive smart decisions