software engineer

Millennium

<div>
 
 Job Description: Quantitative Developer, Systematic Equities
 
 
 
 
 Please direct all resume submissions to
 
 
 QuantTalentEUR@mlp.com
 
 
 and reference REQ-26457 in the subject.
 
 
 
 Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
 
 
 
 Job Description
 
 
 
 We are seeking a highly skilled and entrepreneurial Lead Software Engineer to architect, build, and scale the core trading infrastructure for a newly formed quantitative trading pod. You will lead the design and deployment of systems that support systematic strategies operating across global markets and time zones.
 
 
 This is a hands-on leadership role at the intersection of technology, research, and trading - you'll collaborate directly with quantitative researchers and the Senior Portfolio Manager to turn ideas into production-ready strategies.
 
 
 The pod is led by a Senior Portfolio Manager with 15+ years of experience and a proven track record in alpha generation, strategy development, and risk management at top-tier quant firms. This is a unique opportunity to own the technology stack from day one, influence strategic direction, and help shape a high-performance team in a collaborative and intellectually rigorous environment.
 
 
 
 Location
 
 
 
 Dubai
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 Technical Leadership &amp; Architecture
 </li>
 <ul>
 <li>
 Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management
 </li>
 <li>
 Make decisions on technology stack, performance optimization, and scalability
 </li>
 <li>
 Ensure the system supports reasonable latency, high-throughput, and fault-tolerant trading
 </li>
 </ul>
 <li>
 Team Leadership &amp; Collaboration
 </li>
 <ul>
 <li>
 Help recruit and Lead a small team of developers (sometimes quants as well) within the pod
 </li>
 <li>
 Work closely with the quant researchers and traders to understand strategy requirements and translate them into code
 </li>
 <li>
 Prioritize tasks and mentor junior developers or quant devs
 </li>
 </ul>
 <li>
 Strategy Implementation Support
 </li>
 <ul>
 <li>
 Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores)
 </li>
 <li>
 Translate researchers' prototypes (e.g., in Python) into production&shy; grade code, often in C++, or C# for latency-sensitive components
 </li>
 </ul>
 <li>
 Execution &amp; Infrastructure
 </li>
 <ul>
 <li>
 Optimize and support order execution systems, integrating with various exchanges or broker APIs
 </li>
 <li>
 Implement real-time risk checks, monitoring, logging, and alerting tools
 </li>
 </ul>
 <li>
 Data Engineering &amp; Management
 </li>
 <ul>
 <li>
 Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)
 </li>
 <li>
 Ensure data integrity and low-latency access for trading and research
 </li>
 </ul>
 <li>
 DevOps &amp; Reliability
 </li>
 <ul>
 <li>
 Often take responsibility for deployment pipelines, version control, and production support
 </li>
 <li>
 Ensure high system availability and rapid recovery in case of failures
 </li>
 </ul>
 <li>
 Security &amp; Compliance
 </li>
 <ul>
 <li>
 Make sure that the pod's infrastructure adheres to firm-wide compliance and security standards
 </li>
 <li>
 Ensure rigorous version control, code quality, and documentation standards
 </li>
 <li>
 Conduct thorough testing and debugging of software components, resolving any issues or discrepancies.
 
 </li>
 </ul>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field
 </li>
 <li>
 Fluency in C++ or C# for performance-critical systems
 </li>
 <li>
 Proficiency in Python, especially for scripting, research integration, and data tools
 </li>
 <li>
 Solid understanding of algorithms, data structures, and multithreaded/concurrent programming
 </li>
 <li>
 Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs)
 </li>
 <li>
 Familiarity with software engineering best practices: version control (Git), unit testing, CI/CD, logging, monitoring, etc.
 </li>
 <li>
 Strong troubleshooting skills across distributed systems
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment
 </li>
 <li>
 Proven experience in:
 </li>
 <ul>
 <li>
 Handling large-scale market data (e.g., normalization, feed handling, replay systems)
 </li>
 <li>
 Order routing and exchange connectivity, including FIX protocols and direct market access (DMA)
 </li>
 <li>
 Building event-driven architectures and real-time systems with tight SLAs
 </li>
 <li>
 Identifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environments
 
 </li>
 </ul>
 </ul>
 
 Highly Valued Relevant Attributes
 
 
 
 <ul>
 <li>
 Excellent communication skills - able to interface directly with quant researchers and traders, translate requirements, and explain technical decisions
 </li>
 <li>
 Demonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team setting
 </li>
 <li>
 Comfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights
 </li>
 </ul>
</div>

Quantitative Developer, Systematic Equities

RISING FUTURE BUILDING CONTRACTING L.L.C

As a Junior Engineer, you will assist in the design, planning, and implementation of scaffolding and formwork systems. You will work closely with senior engineers and site teams to ensure projects are executed efficiently and meet the required safety and engineering standards.Key Responsibilities:<ul><li>Assist in preparing scaffolding and formwork designs using AutoCAD or related software.</li><li>Support in preparing structural calculations and technical documentation.</li><li>Conduct site inspections and collaborate with site teams to ensure correct installation.</li><li>Assist in the preparation of method statements and risk assessments.</li><li>Coordinate with clients and contractors for technical support and clarifications.</li><li>Maintain project documentation and assist in project reporting.</li><li>Stay updated on industry standards and best practices in scaffolding and formwork.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s Degree in Civil, or Structural Engineering.</li><li>1 to 3 years of experience in scaffolding and formwork engineering (preferred in UAE or GCC).</li><li>Familiarity with scaffolding and formwork systems and safety standards (EN, BS, OSHA, etc.).</li><li>Proficient in AutoCAD; knowledge of other design software is an advantage.</li><li>Strong communication, analytical, and teamwork skills.</li><li>Willingness to visit construction sites and work in a fast-paced environment.</li></ul>Job Type: Full-timeWork Location: In person

Junior Engineer

GSSTech Group

<div>We are looking for a highly skilled Senior Data Engineer with strong expertise in PySpark, Python, and Big Data technologies to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will work closely with Data Scientists, Business Analysts, and Analytics Delivery teams to develop high-performance analytics solutions and support advanced data science initiatives. 
Requirements 
 
Key Responsibilities<ul><li>
Collaborate with Analytics Delivery Leads and Lead Data Engineers to understand business requirements and deliver impactful data solutions.</li><li>
Work closely with Data Scientists and cross-functional teams to solve complex business problems through data engineering solutions.</li><li>
Manage data onboarding, data access, and stakeholder coordination for analytics initiatives.</li><li>
Design, develop, and maintain scalable, secure, and high-performance data pipelines.</li><li>
Acquire, ingest, process, and transform large-scale structured and unstructured datasets.</li><li>
Implement data engineering best practices for building reliable and production-ready data platforms.</li><li>
Perform data wrangling, cleansing, transformation, and feature engineering for machine learning and analytics use cases.</li><li>
Design and develop modular data pipelines to generate reusable features and modeling datasets.</li><li>
Build and optimize data architectures supporting advanced analytics and machine learning workloads.</li><li>
Contribute to data platform design by selecting appropriate technologies across Big Data, SQL, and NoSQL ecosystems.</li><li>
Ensure data quality, integrity, governance, security, and scalability across the data lifecycle.</li><li>
Participate in Agile squads and collaborate effectively with stakeholders across business and technology teams.</li><li>
Contribute to enterprise data architecture strategy and roadmap aligned with business objectives.</li></ul>
Required Technical SkillsCore Data Engineering<ul><li>
Strong experience in Data Engineering and Big Data solutions.</li><li>
Expert-level proficiency in PySpark.</li><li>
Strong programming experience in Python.</li><li>
Experience building large-scale distributed data processing pipelines.</li></ul>
Data Processing &amp; ETL<ul><li>
Data Ingestion</li><li>
Data Transformation</li><li>
Data Wrangling</li><li>
Data Preparation</li><li>
Data Modeling</li><li>
Feature Engineering</li><li>
ETL/ELT Development</li><li>
Batch Processing</li><li>
Data Pipeline Development</li></ul>
Big Data Technologies<ul><li>
Apache Spark / PySpark</li><li>
Distributed Data Processing Frameworks</li><li>
Big Data Ecosystems</li></ul>
Database Technologies<ul><li>
Strong SQL expertise</li><li>
Experience with Relational Databases</li><li>
Experience with NoSQL Databases</li><li>
Data Warehousing Concepts</li></ul>
Cloud &amp; Analytics Platforms (Preferred)<ul><li>
Azure Data Platform</li><li>
AWS Data Services</li><li>
Google Cloud Data Services</li><li>
Databricks</li><li>
Hadoop Ecosystem</li></ul>
Machine Learning Data Support<ul><li>
Feature Engineering for ML Models</li><li>
Data Preparation for Analytics and AI Use Cases</li><li>
Building Modeling and Feature Tables</li><li>
Supporting Data Science Workloads</li></ul>
Engineering Best Practices<ul><li>
Software Engineering Principles</li><li>
Data Pipeline Optimization</li><li>
Data Quality Management</li><li>
Performance Tuning</li><li>
Scalability &amp; Security</li><li>
Version Control (Git)</li><li>
CI/CD Concepts</li><li>
Documentation Standards</li></ul>
Required Soft Skills<ul><li>
Strong stakeholder management and communication skills.</li><li>
Experience working with Business Analysts, Data Scientists, and Product Teams.</li><li>
Ability to translate business requirements into scalable data solutions.</li><li>
Strong analytical and problem-solving skills.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Ability to work independently and within cross-functional teams.</li></ul>
Preferred Qualifications<ul><li>
Experience working in enterprise-scale data platforms.</li><li>
Experience supporting machine learning and advanced analytics initiatives.</li><li>
Exposure to cloud-native data engineering solutions.</li><li>
Experience designing modern data architectures and data lake environments.</li></ul></div>

Senior Data Engineer

CMS Group of Companies

CMS is seeking a mechanical engineer with experience in handling ecology units, ESP, ventilation fans or HVAC industry. Candidate must be available in UAE.Product selection/design with the required/ feasible configuration and prepare cost estimation for the proposed solution.Coordinate with clients/sales engineers or concerned persons [Via mail/call] for any technical clarificationsCoordinate with suppliers/vendors for outsourced components/products to obtain quotations/pricePrepare and send costing sheet &amp; offer sheets with proposed configurations, technical details, and relevant catalogues/documents to sales co-ordinator.Prepare technical submittals as per client or consultant required formats.Prepare sales GAD [either own, through the drafting team, or with supplier support depending on the product scope].Prepare compliance statements against project specifications in company format or client-specified format.Review consultant/client comments on technical submittals and prepare CRS along with supporting documents.Support the development and implementation of automated tools [like product selection software- by providing technical logic, selection methods, and workflow inputsPay: AED6,000.00 - AED6,500.00 per monthWork Location: In person

Application Engineer

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
At Tether, we're building the infrastructure powering the next generation of financial products, tokenized assets, and digital currencies at global scale.
Our technology enables businesses, institutions, and platforms worldwide to interact with blockchain-based financial systems securely, efficiently, and reliably.
We are looking for a highly skilled Senior Software Engineer to help design, build, and scale backend systems supporting mission-critical financial and tokenization infrastructure.
You will work on distributed systems, APIs, blockchain integrations, tokenization workflows, permissions frameworks, operational tooling, and enterprise-grade backend infrastructure used by millions of users globally.
This is a hands-on engineering role for someone who enjoys solving complex technical challenges, building scalable systems, and working in a fast-paced environment alongside high-performing global teams.
Responsibilities
Backend Development<ul><li>
Design, build, and maintain scalable backend services and APIs in Node.js</li><li>
Develop reliable infrastructure components supporting high-availability systems</li><li>
Improve system scalability, performance, and operational resilience</li><li>
Contribute to architecture discussions and technical decision-making</li></ul>
Blockchain Infrastructure<ul><li>
Work on integrations with blockchain networks and digital asset infrastructure</li><li>
Support systems related to token operations, permissions, transaction workflows, and operational controls</li><li>
Contribute to internal tooling and platform reliability improvements</li><li>
Help maintain secure and scalable infrastructure standards</li></ul>
Platform Scalability &amp; Reliability<ul><li>
Improve observability, monitoring, and operational tooling</li><li>
Support deployment workflows and infrastructure automation</li><li>
Collaborate on performance optimization and system reliability initiatives</li><li>
Contribute to technical documentation and engineering best practices</li></ul>
Cross-Functional Collaboration<ul><li>
Work closely with Product, Engineering, and other internal teams</li><li>
Support technical discussions and implementation planning</li><li>
Help translate business and product requirements into scalable technical solutions</li></ul> 
Core Skills<ul><li>
5+ years of experience in backend software engineering</li><li>
Strong hands-on Node.js expertise - this is the primary stack</li><li>
Experience building scalable backend systems and APIs</li><li>
Strong understanding of distributed systems and cloud infrastructure</li><li>
Experience with databases, asynchronous systems, and microservices architectures</li><li>
Familiarity with blockchain infrastructure and digital asset ecosystems</li><li>
Strong debugging and problem-solving skills</li><li>
Experience working in fast-paced engineering environments</li><li>
Experience with financial infrastructure or fintech platforms</li><li>
Familiarity with Ethereum and EVM-compatible ecosystems</li><li>
Understanding of token standards and blockchain transaction workflows</li><li>
Experience with monitoring and observability tooling</li><li>
Excellent English communication skills - mandatory</li></ul>
Nice to Have<ul><li>
Familiarity with token standards such as ERC-1400, permissions frameworks, transfer restriction mechanisms, and multi-signature workflows</li><li>
Experience with tokenization platforms, custody providers, or institutional fintech infrastructure</li><li>
Familiarity with compliance tooling (KYC/AML integrations, whitelisting frameworks)</li><li>
Experience working in lean, remote-first engineering teams</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior Software Architect (100% Remote - Worldwide)

AMETEK

<div>
 The Application Engineer provides required assistance and prepares required documents, drawings, Bills of Materials (BOMs) for the manufacture of modified equipment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepare drawings for use by Production to manufacture modified equipment.
 </li>
 <li>
 Prepare modified BOMs for entry into the Production System.
 </li>
 <li>
 Work closely with other departments (including, but not limited to: Production, Production Control, Quality Assurance, Purchasing, Project Quotations, Manufacturing Engineering) to resolve issues related to Application Engineering.
 </li>
 <li>
 Provide technical support to other departments as needed.
 </li>
 <li>
 Input BOM changes into the Magnetrol Enterprise Resource Planning (ERP) System.
 </li>
 <li>
 Prepare drawings for approval by the client.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 BS in Engineering or equivalent.
 </li>
 <li>
 Ability to read specifications and data sheets to determine correct methodology to best meet customer needs.
 </li>
 <li>
 Ability to read and interpret engineering drawings.
 </li>
 <li>
 Understanding of piping industry, rules, and regulations.
 </li>
 <li>
 Read and interpret Technical Specifications
 </li>
 <li>
 Advanced PC skills.
 </li>
 <li>
 Experience using AutoCAD, SolidWorks or similar CAD software.
 </li>
 <li>
 Ability to grasp interaction between complex mechanical systems (Mechanical Aptitude).
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 Currency: USD
 
 
 Salary Minimum: Market
 
 
 Salary Maximum: Market
 
 
 Incentive: Market
 
 
 Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location.
 
 
 AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5 billion.
 
 
 AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers&rsquo; most complex challenges. We employ 22,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK is a component of the S&amp;P 500. Visit https://www.ametek.com/careers for more information.
</div>

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking a Senior Machine Learning Engineer to join our AI team as a technical owner of ML products and infrastructure. This is a deeply hands-on engineering position for someone who builds and scales production AI systems used by real users in real-time environments. The right candidate operates across the full ML lifecycle &mdash; from model design through deployment, optimization, and ongoing performance in production &mdash; and contributes to the technical direction of the AI platform.
Key Responsibilities<ul><li>
Architect and implement robust ML systems in production environments, ensuring scalability, reliability, and performance from day one</li><li>
Build and deploy supervised, unsupervised, deep learning, and generative AI models into live production environments at scale</li><li>
Own technical design for ML pipelines, feature stores, training infrastructure, and inference systems, driving decisions that balance performance, cost, and maintainability</li><li>
Design and deliver RAG systems, fine-tuning pipelines, prompt engineering frameworks, and evaluation pipelines for production-grade LLM applications</li><li>
Implement and maintain CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelines</li><li>
Continuously optimize model performance, inference latency, cost efficiency, and reliability across live systems</li><li>
Collaborate with product managers, engineers, and data teams to translate business problems into scalable, maintainable AI solutions</li><li>
Mentor junior and mid-level ML engineers, establish best practices, and contribute to technical standards across the team</li><li>
Contribute to strategic decisions around data architecture, AI infrastructure, and cloud platform direction</li><li>
Work with mobile attribution and customer engagement data sources including Adjust, MoEngage, and Firebase for ML use cases such as churn prediction, personalization, and campaign optimization</li></ul>
Requirements<ul><li>
7 to 15 or more years of experience in software engineering, data science, or ML engineering</li><li>
Strong background in product companies, scale-ups, or enterprise AI platforms</li><li>
Proven track record of building production-grade AI systems, not solely notebooks or proof-of-concept work</li><li>
Comfortable owning systems end-to-end from data through model through deployment through monitoring</li><li>
Product-first engineering approach, not research-only profiles</li><li>
Advanced Python engineering skills with strong systems thinking and a focus on production quality</li><li>
Comfortable with fast iteration cycles and deploying models into live environments</li><li>
Ability to work directly and confidently with stakeholders and product owners</li><li>
Fintech or financial services experience is an advantage</li></ul>
Technical Skills
Machine Learning and AI: PyTorch, TensorFlow, XGBoost, LightGBM, Hugging Face (Transformers, Datasets, Diffusers)
LLM and GenAI: OpenAI and Anthropic APIs, LangChain, LlamaIndex; RAG architectures with vector DB and retrieval pipelines; embedding models (OpenAI, Cohere, open-source); Pinecone, Weaviate, Milvus, FAISS; fine-tuning via LoRA and PEFT frameworks; evaluation using RAGAS and custom pipelines
MLOps and Production: Docker, Kubernetes, MLflow, Weights and Biases, Airflow, Dagster, Prefect, GitHub Actions, GitLab CI, Evidently AI, Arize, custom observability stacks
Cloud: AWS (SageMaker, EKS, S3, Lambda), Azure ML, Azure Databricks, GCP
Data Stack: Databricks, Spark, PySpark, Delta Lake, Apache Iceberg, Lakehouse architectures
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

Senior Machine Learning Engineer

Explore 746+ Software engineer in Dubai this June. Find roles across top companies and apply now to boost your career.

746 software engineer jobs In Dubai

Quantitative Developer, Systematic Equities

Junior Engineer

Senior Data Engineer

Application Engineer

Senior Software Architect (100% Remote - Worldwide)

Application Engineer

Senior Machine Learning Engineer