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We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Contribute to the continuous evolution and optimization of our internal deep algorithms, bridging the gap between theoretical research and production-ready implementations

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.

Required Software Engineer
Position Overview:
As a Senior Software Developer, your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and iOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned digital investigations effectively and securely.
This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.
Key Responsibilities:
Lead and contribute to the development of new access and extraction technologies for iOS platforms.
Develop robust system-level software in and Python, C, C++.
Take part of developing our next solution.
Collaborate with cross-functional teams to design, test, and integrate new capabilities into our Digital Intelligence platform.
Stay current with emerging mobile security technologies and forensic challenges.
Share knowledge and best practices within the team to elevate overall engineering quality.

Distributed Systems engineers implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability.

What Youll Do:
Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments.
Write in Go, Java, Rust or C++, amongst other languages.
Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components.
Own meaningful parts of our service, have an impact, grow with the company.

We are looking for talented senior developer, with a vast Python knowledge, some reversing skills(arm advantage), high motivation and learning desire, to join the industrys leading digital intelligence Security Research Labs group. As a senior exploit engineer in our team.
Key responsibilities:
Bring to life new products and improve our existing solutions.
Work daily with our researchers to try and find new products.
Become a member of Labs Group, focusing on Exploit Engineering for IOS devices.
Be a key part in the quality of top of the line iOS research.
Collaborate with a team of passionate developers dedicated to solving modern digital intelligence challenges, years ahead of others in the industry.
Take part in world-class research results, assisting law enforcement by enabling lawful evidence extraction, and putting criminals behind bars every day.

As a System Analyst, you will play a pivotal role in our Product & Operation group Interactive.
This is an outstanding opportunity for a technically skilled and analytically driven individual to bridge product strategy and technical execution.
You will work closely with cross-functional teams to analyze, model, and define software systems that scale and perform under the demands of our global aggregation platform.
Join us in crafting the future of the iGaming industry by contributing to the logical architecture, data flow, and integration build that power world-class gaming experiences!
What You'll Do:
Collaborate with Product Managers, Architects, and developers to break down requirements into actionable, high-fidelity system specifications.
Define and detail high-level system design and interactions across client applications, services, and integrations.
Build and maintain logical component models, module interaction diagrams, and data flow diagrams (DFDs), including process flow or UML diagrams.
Build and manage logical data models (ER diagrams) and data dictionaries to describe entities, relationships, and data flow between modules.
Define UI screen flows and navigation logic at a logical level, including optional mockups or wireframes to aid clarity.
Invent and document security layers including authentication and authorization flows, and access control models.
Lead the logical integration build for internal modules and external systems-documenting APIs, data contracts, and integration touchpoints.
Maintain a clear traceability matrix between business requirements, system behavior, and functional specifications.
Lead grooming and system analysis workshops with development teams, ensuring alignment with architecture and solution vision.
Evaluate system impact for feature improvements, changes, or third-party integrations, and document interdependencies and trade-offs.
Support QA teams and UAT processes by clarifying system behavior and data expectations.

Were looking for product-minded engineers who are excited about developer tools, to help us quickly define and ship IDE experiences that make all our customers 10x developers.

What Youll Do:
Work on prompts, evals, and agent tools for working with code as part of the MCP server, and on the engineering to productionize these systems and integrate them within our customers IDE
Help conceptualize and build innovative UIs within the Cursor / VSCode extension that work hand in hand with our groundbreaking AI experiences.
Prototype and see what works well in the real world, iterate closely with our users, and then ship
Follow the latest research on LLM prompt optimization, agents, and code editing.
Support other product teams to help them build and productionize their developer-focused MCP toolings. For example, youll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of one click to reproduce for production errors.

Were looking for experienced backend engineers who want to take ownership of critical services and deepen their expertise in distributed systems. Whether you've built APIs, pipelines, or backend tooling, this role is a chance to grow your impact while learning how to design and operate high-scale, high-availability systems that support observability and security products used by engineers around the world.

What Youll Do:
Design and build reliable backend services that handle high-throughput, globally distributed workloads.
Own core components that power products relied on by thousands of engineering teams worldwide.
Collaborate with other experienced engineers to evolve system architecture with a focus on scalability and resilience.
Learn and apply distributed systems design patterns in a production setting
Ship production-grade code in languages like Go, Python, or Java.
Contribute to team culture through code reviews, architecture discussions, and mentorship of peers and junior engineers.

Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

What Youll Do:
Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance.
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams.
Work with our core platform teams to tailor our storage and query solutions to our needs.
Create a strong team culture aligned with our engineering standards and our customer focus.
Participate in hands-on engineering work including coding, code reviews, and design reviews.

The eBPF APM team builds Datadogs zero-instrumentation observability platform, enabling automatic service discovery, Layer 7 protocol classification, traffic decoding, and high-fidelity RED (requests, errors, duration) metrics from both plaintext and TLS-encrypted traffic-without requiring customer code changes.

This work spans kernel-space eBPF, user-space Go services, and large-scale distributed systems, operating reliably across diverse Linux kernels, distributions, runtimes, and real-world production environments. The team tackles challenges in protocol evolution, TLS detection across languages and frameworks, and performance-critical data collection at scale.

We are looking for a Staff Engineer who will act as a technical owner and multiplier-driving architecture, influencing the roadmap, and ensuring our APM platform remains robust, scalable, and easy to adopt us and our customers grow.

What Youll Do:
Own major technical areas of the zero-instrumentation APM system, from design through long-term evolution and operational maturity.
Define and drive architecture for kernel-level traffic capture, L7 protocol decoding, and metric extraction using eBPF and Go.
Lead high-impact initiatives addressing protocol parsing, TLS visibility, kernel compatibility, and performance at scale.
Set technical direction and standards for reliability, performance, and maintainability across the team.
Partner cross-functionally with Agent, Tracing, Security, Runtime, and Product teams to align on system design and roadmap priorities.

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.

Responsibilities
Design and development of high-quality big data processing engineer

Identify and proactively address potential product risks and challenges and ensuring success

Work closely with stakeholders to transform requirements into technical specifications

Ensure that the code is consistent with industry coding standards and best practices

Take a deep dive into the technical details and provide expert advice and solutions

We are looking for a Full-Stack Engineer who loves building complete, real-world products, someone who is comfortable moving between backend services, modern frontend applications, and cloud infrastructure. This role is perfect for an engineer who enjoys ownership, wants to influence architecture decisions.
What youll be building:
End-to-end product features - implementing rich frontend interfaces in React/Next.js.
Scalable backend services integrate with Python (FastAPI) or Node.js, with a strong emphasis on performance, resilience, and clean code.
Multi-cloud components across AWS, GCP, and Azure, deploying containerized workloads using Docker, Cloud Run, Fargate, Azure Functions, etc.
Identity and access flows integrating OAuth2, OIDC, and SAML for enterprise-grade SSO.
Data models and storage layers, including relational and NoSQL databases, indexing strategies, and efficient querying patterns.
Secure-by-design features, integrating best practices from OWASP/CWE.
Customer-facing integrations, including onboarding identity providers and supporting security and architecture reviews.

We are seeking an experienced Senior Software Engineer with deep expertise in C++ development on Linux to join our team. If youre passionate about building high-performance systems, designing scalable software and optimizing complex architectures, we want to hear from you!

Responsibilities
Develop high-performance systems in C++ on Linux, ensuring scalability and reliability.

Design software solutions using design patterns to enhance maintainability and efficiency.

Collaborate with cross-functional teams to align software design with business objectives.

Troubleshoot and optimize systems for improved performance, scalability and reliability.

Contribute to real-time systems, ensuring low-latency performance.

Implement multithreading and multiprocessing for optimal resource utilization.

Ensure code quality through peer reviews, unit testing and continuous integration.

Contribute to architectural discussions and long-term technology roadmaps

We are seeking a Software Engineer with strong C++ expertise on Linux to join our team. The ideal candidate demonstrates exceptional analytical and logical thinking, the ability to independently infer system behavior from complex data flows, and a deep understanding of performance-critical software.

You will work on designing and optimizing scalable, high-throughput systems, navigating complex architectures, and reasoning about real-world network behavior. Familiarity with telecom environments, protocols, and large-scale traffic systems is highly valued, along with a mindset that proactively identifies problems, deduces root causes, and drives solutions end-to-end.

We are seeking an experienced LLM & Agentic Systems Engineer to join our AI squad at our company. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work. You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms. You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Python
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliabililty, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.) Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques Define and refine best practices for GenAI system development and deployment Contribute to internal accelerators, methodologies, and knowledge sharing.