We work with iGaming operators of all sizes to help them expand into new markets or strengthen their existing brands. As a casino software company, we provide solutions that help build outstanding brands and achieve business goals. Now, we are looking for a Senior DevOps Engineer to join our team.
 
What will be your responsibilities:
 

• Design, build, and optimize high-load, highly available server-side platforms (Nginx, PHP-FPM, MySQL, Redis, message queues).
•  • Architect and maintain Kubernetes-based platforms and containerized workloads (Docker, Helm, GitOps).
•  • Design and operate secure network infrastructure:
•  – firewalls (iptables, UFW, security groups, NACLs)
•  – reverse proxies and L7/L4 load balancers
•  • Implement DDoS protection and WAF strategies (Cloudflare, rate-limiting, bot protection).
•  • Build and maintain observability stack:
•  – metrics (VictoriaMetrics, Prometheus)
•  – APM (New Relic, OpenTelemetry)
•  – centralized logging and alerting
•  • Design, implement and continuously improve CI/CD pipelines (Jenkins, GitHub Actions).
•  • Automate infrastructure and platform lifecycle using IaC and configuration management.
•  • Participate in architecture design, reliability engineering and capacity planning.
•  • Ensure security, compliance and audit readiness (PCI DSS, secrets management, access control).

 
What we expect from you:
 

• Strong hands-on Linux expertise (Debian, Ubuntu, systemd, networking, performance tuning).
• • Deep experience with AWS:
•  – compute (EC2, ASG, EKS)
•  – networking (VPC, LB, peering)
•  – managed databases (RDS Aurora)
•  – messaging (SQS, Kafka).
•  • Strong database operations knowledge: MySQL HA, replication, backup.
•  • Production experience with Kubernetes (cluster architecture, HA, upgrades, disaster recovery).
•  • Advanced CI/CD experience: Jenkins, GitHub Actions, GitOps practices.
•  • Strong Cloudflare expertise: DNS, CDN, WAF, DDoS protection.
•  • Infrastructure as Code: Terraform (mandatory), Ansible (configuration and automation).
•  • Scripting and automation in Bash and Python.
•  • Solid understanding of networking and security fundamentals (TLS, IAM, VPN, firewalling, zero-trust).
•  • Experience working in regulated environments or with security standards (PCI DSS is a plus).

 
What we offer:
 

We believe that a happy team builds the best products. Here is how we support you:
 

• Remote & Flexible: Work from anywhere. Our core hours are 10:00 to 18:00 (Kyiv time), Mon-Fri.
• Financial Stability: Timely payment for compensation for services
• Personal Equipment Policy: equipment are provided for use to ensure comfortable and efficient work.
• Knowledge Sharing: We regularly gather to discuss new trends, share insights, and elevate one another.
• Community: At NuxGame, you will work in a team of like-minded people who are ready to support, inspire, and tackle complex challenges together.
• Creative Freedom: We encourage initiative. With us, you have the freedom of professional expression and the space to implement your ideas.
• Time-off Policy: 24 vacation days per year + 5 sick days (without medical confirmation).
• Atmosphere: A friendly environment focused on results and mutual respect, free from unnecessary bureaucracy and pressure.

We believe in unlocking the inner potential of each team member within an open and democratic culture.

Waiting for you on our team!

Note: Please apply for this position only if you have proven experience working with crypto, blockchain, or wallet development.

This position requires completing a test task.

The client is an innovative global fintech leader behind USDT, the world’s largest and most widely used stablecoin.

We are looking for a React Native Developer with solid experience in blockchain/crypto/ wallets to help us build secure applications.

Responsibilities

• Development
  Design, develop and maintain secure cross-platform mobile applications for iOS and Android using React Native (Expo).
  Work closely with designers to ensure the UI is clean, fast and accessible.
  Write clean, testable, and well-documented code, following best practices.
• Integration
  Integrate JavaScript SDKs, crypto wallet libraries, backend services and low-level native modules into mobile applications
  Work with Bitcoin / Web3 / blockchain APIs and wallet backends.
  Implement and manage wallet functionality: addresses, balances, transactions, seed phrases, private keys (with secure handling only).
• Collaboration
  Work closely with backend, product and design teams to deliver innovative crypto wallet and DeFi features.
  Participate in architecture discussions, code reviews and technical decision-making.
• Security & Reliability
  Implement mobile security best practices: secure storage, encryption, device integrity checks, protection from common attack vectors.
  Contribute to performance optimization, monitoring and reliability of mobile apps used at global scale.

Requirements

• Deep experience with React and React Native (Expo)
• Strong knowledge of JavaScript and ES6+, and familiarity with modern front-end tooling.
• Experience with Redux and related React ecosystem fundamentals.
• Proven background in crypto or wallet development (Bitcoin, Web3, wallets, private keys or similar technologies).
• Understanding of decentralized systems and concepts like public/private keys, signing, transactions, and fees.
• Strong experience integrating REST APIs and WebSockets; real-time data handling.
• Experience with native modules (e.g. in C++) and low-level integrations.
• Hands-on experience in Swift or Objective-C (iOS) or Kotlin or Java (Android) for low-level mobile integrations.
• Familiarity with CI/CD pipelines for mobile deployments.
• Good understanding of mobile security: secure storage, key management, encryption, secure communication.

• Comfortable working in a remote, distributed team, communicating in English (written and spoken).
   

  Nice to Have

• Experience with hardware wallets or secure elements.
• Knowledge of Layer 2 solutions, sidechains, or Lightning Network.
• Background in cryptography or security engineering.
• Experience with performance optimization and profiling for mobile apps

The company builds AI agents and digital workers that automate real-world business operations, analytics, and management workflows.

We are looking for a hands-on CTO who combines strong engineering experience with product thinking and startup execution.

This is not a corporate CTO position.

You will personally design the architecture, write code, build AI products, hire engineers, and shape the company’s strategy with the founder.

What you should have:

• AI Agent Platform Architecture
• Agent Orchestration and Infrastructure
• Engineering Team Building
• Product MVP Development
• Technical Strategy and Execution

Requirements:

• 6+ years of experience in software development
• 2+ years as a CTO, CTO, or CTO
• Strong backend or fullstack experience
• Hands-on experience with OpenAI, Anthropic, vector databases, agent frameworks, RAG systems, and LLM applications
• Experience building SaaS products
• Experience working at a startup or early stage company
• Ability to go from idea to MVP in weeks, not months

Desirable:

• Experience working with multi-tenant SaaS architectures
• Experience building internal platforms or SDKs
• Experience as a previous founder or CTO of a startup

What we offer:

• Ability founder-level work
• Direct access to decision-making
• Significant ownership and autonomy
• Equity stake tied to company milestones
• Opportunity to build a category-defining AI company

Funnel Strategist

• Analyze funnel performance across CTR, opt-in rate, booking rate, CPL, conversion rate, and drop-offs to identify where the funnel is underperforming
• Develop and test funnel angles, hooks, headlines, offers, landing page flows, and CTAs based on customer psychology and market awareness
• Research competitor ads, landing pages, offers, positioning, follow-up flows, and CTAs to understand what is working in the market
• Prioritize and run high-impact funnel tests against current controls, using clear metrics and enough traffic before making scaling decisions
• Collaborate with product, engineering, marketing, and business teams to turn funnel insights into landing page, flow, and offer improvements
• Build simple systems, reports, and testing artifacts that make funnel performance visible and help the team move faster
• Translate funnel learnings into practical recommendations that directly improve lead quality, user conversion, and revenue outcomes

• 3+ years of experience in funnel strategy, performance marketing, growth marketing, conversion optimization, or a similar role
• Strong understanding of lead generation funnels, landing pages, offers, paid traffic, conversion metrics, and user drop-off points
• Hands-on experience analyzing funnel data and making decisions based on CPL, conversion rate, booked calls, CTR, opt-in rate, and related metrics
• Ability to create and test different funnel angles based on pain points, desires, outcomes, and customer psychology
• Experience researching competitor funnels, ads, landing pages, positioning, and follow-up flows
• Proactive mindset with strong ownership - you can take unclear data, structure the chaos, and build a system around it
• Advanced English, used day-to-day for communication, reporting, documentation, and cross-functional collaboration

• Experience in lead generation, marketplace, SaaS, real estate, or high-volume performance marketing environments
• Experience using AI tools for research, analysis, ideation, or workflow improvement
• Ukrainian or Russian language skills
• Experience creating weekly performance updates with metrics, insights, decisions, and next steps
• Experience working in fast-changing startup environments where priorities can shift quickly

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

• Project Description:

  Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal LLM-powered assistant that uses hosted LLM APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

• Responsibilities:

  • Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)
  • Improve indexing and retrieval performance and quality (chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching) and support hybrid retrieval capabilities (vector + keyword/BM25 + metadata)
  • Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests
  • Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.
  • Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history
  • Develop and maintain evaluation and regression testing (golden sets, automated scoring) and support structured comparisons across LLM providers/models as required
  • Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

• Mandatory Skills Description:

  8+ years of hands-on experience in Data Science and 5+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.
  Strong programming skills in languages such as Python and familiarity building ETL pipelines.
  Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases (Open Search or Elastic Search)
  Familiarity with AWS cloud platform and its services.
  Experience with version control systems (e.g., Git) and CI/CD pipelines.
  Ability to build scalable infrastructure to embed and search very large number of documents.
  Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
  Expertise in ML inference optimizations
  Solid experience with Hybrid RAG, chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching, etc.
  Knowledge of network optimization for distributed ML training and inference.
  Understanding of distributed training patterns and checkpointing strategies.
  Strong English skills (B2 and higher)
  Strong verbal and written communication skills.
  Ability to work independently and collaborate in a group.

• Nice-to-Have Skills Description:

  Agile certification
  Oracle/Microsoft attestations and certifications
  Domain knowledge - Trading and Capital Markets

• Languages:
  • English: C1 Advanced

We are looking for a Senior Embedded Systems Integration Engineer to join a defense project focused on precision turret systems operating under strict real-time, hardware, and field reliability constraints.

You will be responsible for building and integrating the embedded layer that connects control algorithms, sensor inputs, edge computing platforms, and targeting/stabilization subsystems into a cohesive turret platform. This role is ideal for an engineer who can work close to hardware, understand system behavior end-to-end, and contribute to control logic, sensor processing, and platform integration.

You will work directly on defense projects for Ukraine, with a short path from implementation to field testing and real-world deployment.
 

What We Offer

• Direct contribution to defense projects for Ukraine.
• Collaboration with experts in embedded systems, robotics, control systems, sensors, and defense technology.
• Ownership of key architectural and integration decisions.
• Hands-on work with real hardware, field testing, and deployed systems.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements
 

Core Technical Skills - Required

• 5–8 years of commercial embedded software development experience.
• Degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, Robotics, or a similar technical field.
• Strong Linux embedded development experience.
• Hands-on experience with NVIDIA Jetson, Raspberry Pi, ARM-based platforms, or similar edge devices.
• Solid C++14/17/20 skills.
• Python for tooling, prototyping, automation, and data analysis.
• Experience with hardware bring-up, peripheral integration, driver configuration, GPIO/UART/I2C/SPI/CAN/Ethernet interfaces.
• Understanding of real-time constraints, latency budgeting, system timing, and deterministic behavior.
• Experience with control algorithms, stabilization logic, or motion/control systems.
• Strong mathematical background: linear algebra, geometry, trigonometry, coordinate systems, filtering, signal processing basics.
• Experience integrating and processing data from sensors at the system level.
• Ability to work independently with minimal supervision and make engineering decisions in uncertain hardware environments.
   

Sensor & Platform Experience

The ideal candidate should have hands-on experience with several of the following areas:

• Edge computing platforms: Jetson Nano / Xavier / Orin, Raspberry Pi, ARM SoCs.
• Short-range radar integration and data processing.
• Audio sensors, microphones, acoustic arrays, or sound-based detection systems.
• General audio/signal processing: filtering, noise reduction, feature extraction, direction estimation, or event detection.
• Camera or optical sensor integration as part of a broader sensor stack.
• IMU, encoders, motor controllers, or positioning sensors.
• Sensor synchronization, timestamping, and alignment.
• Low-level communication with hardware modules and external devices.
• Field-oriented debugging of embedded systems.
   

Will Be a Plus

• Experience with turret systems, PTZ platforms, stabilized gimbals, robotics, drones, or unmanned systems.
• Experience with EO/IR cameras, thermal cameras, night vision, or optical tracking systems.
• Knowledge of PID control, Kalman filters, sensor fusion, target tracking, or stabilization algorithms.
• Experience with radar signal processing or acoustic localization.
• ROS/ROS2 experience.
• Experience with GStreamer, V4L2, DeepStream, OpenCV, or edge AI pipelines.
• Experience with model deployment on edge devices.
• Mission-critical, defense, aerospace, robotics, or safety-critical systems experience.
• Remote telemetry, diagnostics, logging, and monitoring tooling.
• Experience with field testing and debugging hardware in non-lab conditions.
   

Responsibilities

• Develop and integrate embedded software components for the turret platform.
• Work with Jetson, Raspberry Pi, and other edge hardware platforms.
• Integrate sensors including short-range radars, sound sensors, optical sensors, IMUs, and other peripheral devices.
• Implement and tune control logic for turret movement, stabilization, and positioning.
• Support development and integration of targeting, tracking, and sensor alignment logic.
• Process and expose sensor data to higher-level targeting, detection, or control subsystems.
• Work with mathematical models related to geometry, aiming logic, coordinate transformations, filtering, and timing.
• Build reliable communication between embedded modules, sensors, control boards, and compute platforms.
• Collaborate with CV, robotics, hardware, and control teams to ensure clean and timely data delivery.
• Participate in hardware selection, architecture discussions, and integration planning.
• Debug timing, latency, synchronization, and reliability issues across the embedded stack.
• Support field testing, troubleshooting, calibration, and system maintenance.
• Ensure robustness and reliability of deployed systems under field conditions.
   

Ideal Candidate Profile

You are a strong embedded engineer who is comfortable working close to hardware and understands how real systems behave outside of perfect lab conditions. You can connect sensors, debug interfaces, analyze timing, reason about control logic, and translate mathematical or algorithmic requirements into reliable embedded software.

You do not need to be only a computer vision engineer. This role is broader: it combines embedded Linux, edge platforms, sensor integration, control systems, signal processing, and applied mathematics for real defense hardware.

We are looking for a Senior Backend Developer to join our Data Ops team. You will design, build, and maintain the backend systems that power our data pipelines, automation workflows, and internal tooling. This role blends deep Python expertise with cloud-native architecture, a pragmatic approach to automation, and a growing focus on integrating AI/ML capabilities into our platform. You will work closely with data engineers, front-end developers, and product stakeholders to ship reliable, scalable software.

Technology Stack

Python 3.11 — 3.14, AWS (Lambda, ECS, S3, Step Functions, CloudWatch),
Kubernetes, MongoDB, Redis, Apache Kafka, Pytest, GitHub Actions / Jenkins, Docker, SciPy, NumPy, pandas, scikit-learn, LLM APIs (OpenAI / Anthropic)


Responsibilities & Duties

— Architect and deliver efficient, well-documented, and highly readable backend services that set the quality bar for the team.
— Design and maintain automation pipelines (CI/CD, scheduled jobs, event-driven workflows) that reduce manual effort and improve reliability.
— Build lightweight internal dashboards, admin panels, or API-driven front-end components using frameworks such as React, Vue, or Streamlit to surface data and system health to stakeholders.
— Integrate AI/ML models and LLM-based features into backend services, including prompt engineering, embeddings pipelines, and retrieval-augmented generation (RAG) patterns.
— Dive into new technologies and product disciplines, driving innovation and staying current with the evolving AI and data engineering landscape.
— Define development plans based on project requirements and ensure timely delivery while remaining flexible to changing priorities.
— Oversee the stability of your services, monitoring system health, uptime, and performance post-release through observability tooling (CloudWatch, Datadog, or similar).
— Lead code reviews with peers, fostering a culture of continuous improvement, knowledge sharing, and engineering best practices.


Qualifications & Skills

Required
— 7+ years of hands-on Python development on large-scale, production systems.
— Strong experience with NoSQL databases (MongoDB preferred) and ability to design performant data models.
— Practical knowledge of AWS services and cloud-native design patterns.
— Experience building or maintaining CI/CD pipelines, automated testing suites, and infrastructure-as-code.
— Comfortable presenting ideas and technical details clearly to cross-functional teams.

Nice to Have
— Familiarity with front-end frameworks (React, Vue, or Streamlit) for building internal tools or dashboards.
— Hands-on experience with AI/ML workflows: training pipelines, model serving, or integrating LLM APIs.
— Knowledge of Kubernetes for container orchestration and scaling.
— Experience with event-driven architectures using Kafka or similar streaming platforms.
— Contributions to open-source projects or a visible engineering blog / portfolio.


What We Offer

— Working on great tech stack (app platform) with truly big data (processing 1TB every day)
— Product company with a long-term vision
— Project exposure and ownership that impacts our users, product, and business
— Medical insurance
— Sport benefit

Moon Active is one of the world's top mobile game companies, our teams leverage cutting-edge technologies to craft fun and interactive games enjoyed by millions worldwide. We produce exciting and engaging entertainment for players across the globe and pride ourselves on developing top-quality casual games that invite and allow players to connect with one another.

We're looking for a talented and experienced DevOps Engineer to join the team in the Warsaw office.

This position will allow you to work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events, and making sure our systems and infrastructures scale and perform at optimal levels.
 

Responsibilities

• Build and maintain Cloud infrastructure, tools and services (GCP, AWS, Cloudflare);
• Container platform operations (GKE);
• CI/CD automation management (GitHub, ArgoCD);
• Security and compliance management (IAM, infrastructure, network, GKE and middleware);
• System observability;
• Incident management;
• Cloud cost management;
• Disaster recovery and business continuity.

Requirements

• 4+ years experience as DevOps engineer;
• Experience with one of the cloud providers (GCP, AWS, or Azure);
• Experience with containerized environments and microservices (Docker, Kubernetes);
• Experience with IaC tools (terraform, crossplane, ansible, etc.).
• Experience with scripting fundamentals (Python, Bash, Ruby, Lua or similar);
• In-depth knowledge of version control systems, build/release systems, CI/CD systems (Git, Fastlane, Github Actions, etc.);
• Hands on experience with Unix based systems;
• Understanding of monitoring and logging tools (Grafana, Prometheus, ELK or similar);
• Fluency in English is a must.

Advantages

• SW development experience(Golang, Java);
• GitOps, Helm and Kustomize experience.

Benefits

Why join Moon Active? 

• Be part of a leading global mobile gaming company with a unique product enjoyed by millions;
• Thrive in an exceptional, innovative, and dynamic environment;
• Enjoy full transparency and open communication with talented colleagues across teams;
• Take advantage of tremendous opportunities for professional growth and career advancement within a rapidly expanding company;
• Influence and help build personalized product experiences that impact millions of users worldwide.

We offer

• Generous compensation; paid vacation and sick leave;
• Extensive medical and life insurance coverage for you and your family;
• MultiSport Card, Yoga & Pilates classes in the office; 
• Comfortable and modern office located on Królewska 16 street in Warsaw;
• Free daily breakfasts and lunches, and a fully stocked kitchen with snacks and fruits;
• Latest tech equipment, including macOS devices;
• Training & Development/Tuition reimbursement;
• Friend Referral Program with generous bonuses;
• Fun and collaborative workplace culture with regular Friday Happy Hours and team gatherings;
• Relocation bonus for candidates moving to Warsaw;
• Bicycle and Car parking.

Full-Stack Developer at FlashProxy

Remote, full-time. Ideally someone in Eastern Europe who can work hours that overlap with GMT+3.

FlashProxy sells proxy and IP infrastructure on subscription. Small team, so you'd work directly with the founders and actually own your work instead of pushing it through endless approvals.

We need a full-stack dev to handle the software side: our website, our APIs, and the internal dashboards the team runs on. Long-term and full-time, not a short contract.

What you'll do

• Build and maintain our website
• Design and extend our APIs
• Build internal dashboards and tools for the team
• Own features start to finish, not just code someone hands you

What we need

• A few years of solid full-stack experience, strong on both front and back end
• Good with API design and databases
• Someone who can run with things on their own and cares about doing them right
• Fluent English, since you'll be talking to us daily

Stack (roughly): TypeScript, React/Next.js, Node, Postgres, Supabase. You don't need all of it if you pick things up fast.

Later on there's room to get into the infrastructure side, the networking that actually runs the product, and to start helping clients with the technical stuff. Something to grow into, not a requirement now.

Pay: $3,000-4,500/month depending on experience.

To apply: send a short intro, your GitHub or examples of what you've built, and the rate you're after.

Reverse Engineer (Android / Windows)

About the Role

We’re looking for a highly skilled Reverse Engineer to analyze, understand, and modify complex software systems across Android and Windows platforms. You will work on low-level system components, proprietary protocols, and real-world production binaries—going far beyond basic static analysis.

This role requires deep technical expertise in native code, system internals, and runtime behavior, with a strong focus on practical reverse engineering and problem-solving.

Responsibilities

• Reverse engineer Android and Windows applications (Java/Kotlin + native C/C++)
• Analyze compiled binaries, obfuscated code, and packed applications
• Perform dynamic instrumentation, tracing, and runtime analysis
• Understand and modify system-level behavior (services, drivers, IPC, networking)
• Reverse proprietary protocols and data formats
• Identify security mechanisms, protections, and bypass techniques
• Develop tooling, scripts, and automation for analysis workflows
• Collaborate with engineering teams to integrate findings into products

Requirements

Core Skills

• Strong experience with reverse engineering tools:
  • IDA Pro / Ghidra / Binary Ninja
  • Frida, LLDB, WinDbg, x64dbg
• Solid understanding of:
  • Assembly (ARM, ARM64, x86/x64)
  • Native code (C/C++)
  • Memory management, calling conventions, binaries

Android

• Deep understanding of Android internals:
  • ART / Dalvik runtime
  • Binder IPC
  • System services & HALs
• Experience reversing APKs and native libraries (.so)
• Familiarity with AOSP structure and system components

Windows

• Understanding of Windows internals:
  • User-mode & kernel-mode architecture
  • Windows APIs, services, drivers
• Experience analyzing PE binaries, DLLs, and system behavior

Nice to Have

• Experience with iOS reversing (Objective-C / Swift, Mach-O)
• Knowledge of anti-debugging / anti-tampering techniques
• Experience with emulators, virtualization, or sandboxing
• Cryptography and protocol analysis experience
• Exploit development or vulnerability research background

What We Expect

• Ability to work with incomplete information and figure things out independently
• Strong debugging mindset and curiosity
• Focus on real-world results, not just theoretical analysis
• Clean and well-documented findings

Client's application support is responsible for the production systems, including Trading, Post-Trade, and PnL software, environment management, and software deployment. Will work closely with developers, business analysts and infrastructure team members as well as with portfolio managers and traders.
The candidate will participate in the release process, ensuring quality software is delivered in a timely manner.

• Responsibilities:

  Principal Responsibilities
  
  • Solve technical trading-related issues, independently where possible or leveraging teammates as necessary. Escalate to application and/or infrastructure subject matter experts (internally or at vendors) when appropriate. Manage communications to the trading staff and internal stakeholders regarding issue/resolution.
  • Build working relationships with trading groups in both US and UK.
  • Trading Infrastructure/Platform Status Communications - responsible for disseminating messages to the appropriate trading staff regarding trading infrastructure/platform issues, exchange updates, etc.
  • Assist with automating processes to achieve efficiency and streamlined trade support.
  • Document and create new knowledge base to provide the most effective solutions to trading issues.
  • Deployment of, support of, and monitoring of the firm's internal trading systems.
  • Coordinate with vendors, internal application owners, infrastructure owners, and tech support to ensure trading platforms are correctly installed, configured, and tested.
  • Liaise with development and infrastructure teams, prioritize tool enhancements, and coordinate and participate in software/new version releases.

• Mandatory Skills Description:

  • Must understand the financial markets with strong equities background.
  • Understanding of the trade lifecycle, back-office, and settlement processes
  • Hands-on technical experience in an application support
  • Has 3 years experience in a support role within
  • Strong communication skills and the ability to work in a demanding environment.
  • Well organized, detail-oriented, and able to focus and prioritize multiple tasks in a dynamic environment
  • Aptitude to learn
  • Understanding of ITIL methodology
  • English - Advanced
  • Working hours - EST time zone shift (9 AM - 5 PM ET/EST)
  
  • Proficient writing SQL\PLSQL
  • Hands-on experience with Unix/Linux like platform
  • Good experience with Unix/Linux command line
  • Understanding of XML/FpML etc data formats
  • Know how to work with source-code (ability to read and understand logic)
  . Experience in BUILDING CHECKS (and monitoring) IN GENEOS. This would also entail some decent scripting skills preferably using python or perl for building geneos checks.

We are looking for a Quantitative Analyst to become the mathematical backbone of our Trading Core and Risk Tech squads. In a high-frequency trading environment processing billions in volume, success is defined by precision. 

In this role, you will design, backtest, and optimize the core mathematical models that drive our pricing engines, automated market-making algorithms, risk management frameworks (A/B/C-book optimization), and liquidation mechanics. You will sit at the intersection of advanced mathematics, data science, and high-performance software engineering, working directly with Core Product Managers and engineering teams to turn complex financial data into proprietary algorithmic advantages.

Responsibilities

• Research, design, and prototype quantitative models for pricing, risk management, and market making
• Build and maintain robust backtesting frameworks to validate the performance and safety of models before production deployment
• Write clear, comprehensive mathematical and algorithmic specifications for Backend Engineers (Trading Core squads)
• Cross functional with the R&D and Trading Ops teams
• Conduct post-incident deep dives (e.g., after major market gaps or liquidations) to identify algorithm performance gaps and optimize them

Requirements

• 3+ years of experience as a Quantitative Analyst / Researcher in fintech
• Exceptional knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics
• Advanced proficiency in Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels) for data analysis, modeling, and backtesting
• Experience with Machine Learning
• Deep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms
• SQL skills and experience working with large-scale historical market data (tick data, order logs)
• Strong logical thinking, initiative, and well-developed communication skills

Will be a plus

• Experience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund
• Degree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science
• Understanding of Asset pricing models (e.g., Black-Scholes, local volatility models, Greeks management)
• Knowledge of the MetaTrader platforms (MT4/MT5)
• Experience with AI (Claude.io, Copilot, Codex)

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a Quantitative Analyst to become the mathematical backbone of our Trading Core and Risk Tech squads. In a high-frequency trading environment processing billions in volume, success is defined by precision. 

In this role, you will design, backtest, and optimize the core mathematical models that drive our pricing engines, automated market-making algorithms, risk management frameworks (A/B/C-book optimization), and liquidation mechanics. You will sit at the intersection of advanced mathematics, data science, and high-performance software engineering, working directly with Core Product Managers and engineering teams to turn complex financial data into proprietary algorithmic advantages.

Responsibilities

• Research, design, and prototype quantitative models for pricing, risk management, and market making
• Build and maintain robust backtesting frameworks to validate the performance and safety of models before production deployment
• Write clear, comprehensive mathematical and algorithmic specifications for Backend Engineers (Trading Core squads)
• Cross functional with the R&D and Trading Ops teams
• Conduct post-incident deep dives (e.g., after major market gaps or liquidations) to identify algorithm performance gaps and optimize them

Requirements

• 3+ years of experience as a Quantitative Analyst / Researcher in fintech
• Exceptional knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics
• Advanced proficiency in Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels) for data analysis, modeling, and backtesting
• Experience with Machine Learning
• Deep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms
• SQL skills and experience working with large-scale historical market data (tick data, order logs)
• Strong logical thinking, initiative, and well-developed communication skills

Will be a plus

• Experience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund
• Degree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science
• Understanding of Asset pricing models (e.g., Black-Scholes, local volatility models, Greeks management)
• Knowledge of the MetaTrader platforms (MT4/MT5)
• Experience with AI (Claude.io, Copilot, Codex)

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

• Project Description:

  Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and currently has offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg and Mumbai.

  
  Client attracts and selects high-caliber individuals from top-tier institutions around the globe. Join our team and look forward to:
  • Diverse and inspiring colleagues and approachable leaders
  • Stimulating work in a fast-paced, intellectually challenging environment
  • Accelerated exposure and responsibility
  • Global career development opportunities
  • Being motivated every day by important social purpose and unshakable principles
  • A deeply rooted culture of Integrity, Partnership and High Performance
  If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.

   

• Responsibilities:

  • Manage timelines/deliverables within the team towards the successful delivery of projects.
  • Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
  • Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
  • Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.

   

• Mandatory Skills Description:

  • Experience in Python in an enterprise environment, covering the whole development life cycle
  • Experience with web development using either Angular, React or Dash Plotly.
  • Agile/scrum/Jira/confluence/Git
  • Experience with Cloud technologies, preferably AWS
  • Proficiency in CI/CD pipelines
  • Unit and integration testing

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!