Who You Are:

You're a hands-on data engineer with several years of experience building and operating production data pipelines. You're fluent in Python or Java and comfortable across the modern data stack , AWS, Databricks/Spark, dbt, and Airflow. You care about data quality, write clean and well-tested code, and like owning systems end-to-end. You're curious about crypto and energized by working at the intersection of finance and emerging technology.

What You’ll Do:

• Partner across Galaxy’s business lines (Trading, Custody, Asset Management, Mining) to build and enhance a reliable and scalable data platform
• Design, build, and maintain scalable data pipelines (batch and streaming)
• Develop and operate high-throughput, low-latency data processing systems
• Work within the Databricks and Spark ecosystem to support large-scale data workloads
• Build and maintain cloud-native data solutions on AWS
• Leverage dbt for transformation, data modeling, testing, and documentation
• Use Airflow (or similar orchestration tools) to manage and schedule data workflows
• Write clean, efficient, and well-tested code, following best practices in software engineering
• Collaborate closely with product, analytics, and infrastructure teams to deliver impactful data solutions
• Contribute to technical design discussions and help improve system performance, scalability, and reliability
• Support production systems by troubleshooting issues and implementing improvements
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of professional experience in data engineering or distributed systems
• Strong hands-on coding experience in Python, Java, or similar languages
• Experience building and operating both batch and streaming data pipelines
• Strong experience with AWS, Databricks/Spark, and modern data architectures
• Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration
• Solid understanding of data modeling, data quality, and production data systems
• Experience working with relational and non-relational databases (e.g., Postgres, SQL Server)
• Familiarity with CI/CD, testing frameworks, and monitoring tools

Bonus Points: 

• Experience with dependency injections frameworks, ideally: Spring, Guice, HK2
• Experience with Docker
• Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
• Experience in Crypto

What We Offer:

• Competitive base salary and discretionary bonus
• Flexible Time Off (paid)
• Hybrid Working Arrangements 
• Company-paid health and protective benefits for employees and their eligible dependents
• Free coaching and counseling sessions through Headspace
• Generous paid Parental Leave
• Free daily snacks in-office and weekly lunches 
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

*Benefits may vary depending on location.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

• 3+ years of backend development in Python, Go, or Java
• End-to-end LLM Agent production experience with depth in architecture design, hallucination handling, and tool-call fault tolerance
• Hands-on AI security knowledge — Prompt Injection, Jailbreak, malicious agent injection, tool misuse — with production-ready defensive solutions
• Production experience with at least one of LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph
• Proficiency with Docker, Kubernetes, and microservice architecture

• SAST/SCA or code auditing tool experience 
• LLM fine-tuning or local model deployment; security-domain fine-tuning is a strong plus
• Open source agent projects on GitHub or merged PRs to mainstream LLM frameworks
• CTF awards or CVE/CNVD submission records

Who You Are:

This role sits at the intersection of software engineering and infrastructure, with a primary objective of minimizing latency, maximizing throughput, and ensuring deterministic performance across critical trading workflows. 

We are looking for a Trading Systems Engineer to design and build high performance trading systems in support of market data ingestion, order routing and execution. The ideal candidate will have worked on the development of low latency trading systems and have experience of high-performance messaging in Java, though similar experience in C++ will be considered. 

Further to the above, the candidate will have experience of optimizing multiple layers of the technology-stack, from the application layer, through to the OS, network layers and supporting hardware. 

What You’ll Do:

• This role will provide cross-cutting solutions in support of multiple businesses, including OTC, Market Making, Prop and Systematic Trading. 
• You will have the ability to work independently, have strong analytical and problem-solving skills, with a desire to own issues and see them through to resolution.  
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For:

• Excellent core Java skills
• Extensive experience of Java Application and Garbage Collection optimization
• Exceptional knowledge of concurrency and multithreaded programming
• Experience of developing low latency pricing and trading systems
• Knowledge of low latency messaging (e.g. Aeron, 29West)
• Solid understanding of networking fundamentals (TCP/UDP, multicast, routing, switching, congestion control) and use of kernel bypass technologies (e.g., DPDK, Solarflare/OpenOnload, RDMA).
• Familiarity with Linux internals, to include scheduling, memory management, and performance tuning.

Bonus Points: 

• eFX development experience in a low latency, zero GC environment
• Knowledge of institutional encodings (FIX, SBE)
• Fault tolerant, high availability, distributed computing
• Docker / Kubernetes / AWS

What We Offer:

• Competitive base salary and discretionary bonus
• Competitive paid time off
• Company-paid health and protective benefits for employees and their eligible dependents
• Free virtual coaching sessions through Headspace
• Free daily snacks in-office
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues

*Benefits may vary depending on location.

Who You Are:

We are looking for talented software engineers to join our Lending technology team to build the next generation of crypto Lending systems.

You can work independently, have strong analytical and problem-solving skills, and a desire to own issues and see them through to resolution.  

What You'll Do:

You will work on core lending infrastructure, including collateral management, interest calculations, liquidations, and integrations with blockchain networks and traditional financial systems.

Responsibilities will include:

• Design, develop, and maintain backend services for crypto lending and borrowing products
• Implement core lending logic including:
  • Loan origination and lifecycle management
  • Collateral valuation and margining
  • Interest rate models and accrual
  • Liquidation and risk management mechanisms
• Build reliable, scalable APIs for internal and external consumers
• Integrate with blockchain networks, smart contracts, custodians, oracles, and pricing feeds
• Collaborate with product, risk, and compliance teams to translate business requirements into robust systems
• Write clean, well-tested, and well-documented code
• Participate in code reviews and architectural discussions
• Monitor and improve system performance, security, and reliability in production

What We’re Looking For:

• 10+ years of relevant development experience
• Excellent core Java skills
• Knowledge of Spring and Kafka
• Experience developing microservices
• Code optimization and profiling capabilities

Bonus Points:

• Experience leading a team 
• Development experience with OMS and Risk Systems
• Knowledge of traditional financial products
  • Options
  • Forwards
  • Futures
• Docker / Kubernetes / AWS
• Knowledge of crypto
• Knowledge of crypto products
  • Perpetual Forwards (perps)
  • On-Chain Borrows / Lends

What We Offer: 

• Competitive base salary and discretionary bonus
• Flexible Time Off (i.e. unlimited paid vacation days)
• Company paid sick leave
• Company-paid health and protective benefits for employees, partners, and other dependents
• Generous paid Parental Leave
• Free virtual coaching and counseling sessions through Headspace
• Opportunities to learn about the Crypto industry
• Free daily snacks in-office
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

Apply now and join us on our mission to engineer a new economic paradigm.

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities:

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications:

• Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
• Experience with MLflow, Weights & Biases, or LangSmith.
• Knowledge of building scalable microservice architectures.

Capco

Capco is a leading global technology and management consultancy that excels in driving digital transformation within the financial services and insurance sectors. With an unwavering commitment to delivering practical solutions, we empower our clients to navigate the complexities of today's fast-paced market. Our integrated services span across major financial hubs worldwide, ensuring that we are always close to our clients and their needs.

At Capco, we possess not only the expertise but also the vision and passion necessary to lead transformative change. As we embark on an exciting growth journey, this is the perfect moment to join our team. We are expanding geographically, increasing our workforce, and poised to disrupt the consulting landscape across APAC with our entrepreneurial spirit and agile methodologies.

About the Role

We are thrilled to introduce an opportunity for a talented AI Engineer to join our Hong Kong team. This role is designed for a technology innovator who thrives on solving complex challenges and is passionate about building AI-driven solutions that transform the Financial Services industry. As an AI Engineer at Capco, you will play a pivotal role in shaping the future of banking and insurance by leveraging cutting-edge AI technologies to deliver intelligent, scalable, and compliant solutions. Your work will enable our clients to unlock new efficiencies, enhance customer experience, and stay ahead in a rapidly evolving digital landscape. If you are excited about applying advanced AI techniques to real-world business problems and driving measurable impact, we want you on our team.

Key Responsibilities

• Build multi-agent workflows to optimize business processes within banking and financial services.
• Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.
• Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such as risk assessment and customer query resolution.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications.
• Ensure AI models adhere to banking regulations, data privacy standards (e.g., GDPR, CCPA), and ethical AI practices.
• Conduct experiments, evaluate model performance, and iterate solutions to improve accuracy and efficiency.
• Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.
• Stay updated on emerging AI trends, particularly in NLP and LLMs, and contribute to knowledge sharing within the team.
• Participate in code reviews, agile ceremonies, and CI/CD processes.

Experience and Qualifications

• 4–10 years of professional experience in AI/ML engineering, with a focus on software development and deployment.
• Strong software engineering experience with Python and libraries such as TensorFlow, PyTorch, scikit-learn, and Huggingface.
• Demonstrated experience in NLP, including projects involving text classification, entity recognition, or similar.
• Hands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability.
• Proven expertise working with LLMs (e.g., GPT, BERT) and building agentic solutions using frameworks like LangChain, LangGraph, or ADK.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.
• Solid understanding of machine learning concepts, including supervised/unsupervised learning, evaluation metrics, and bias mitigation.
• Experience with version control systems (e.g., Git) and agile methodologies.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience in financial services domains such as fraud detection, credit scoring, or customer service automation.
• Familiarity with big data tools (e.g., Spark, Hadoop) and databases (SQL/NoSQL).
• Knowledge of graph databases and knowledge graphs.
• Understanding DevOps practices, containerization (Docker, Kubernetes), and MLOps workflows.
• Publications, open-source contributions, or certifications in AI/ML.
• Strong communication skills for presenting technical concepts to non-technical stakeholders.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Location: Hong Kong or Remote
Type: Full Time

The Role

As a Software Engineer at Nex, you will contribute to building the technical foundations that power our platform's most demanding capabilities. You will focus on either ML Engineering or Framework Engineering, two complementary specializations that drive research velocity and product performance.

In the ML Engineering track, you will build the infrastructure that accelerates machine learning research: training pipelines, data workflows, model integration systems, and the tools that enable rapid experimentation. Your work ensures researchers can iterate reliably and move experiments toward production readiness.

In the Framework Engineering track, you will own the design and development of our cross-platform software framework for detection, sensing, haptics, and ML inference. You will build the real-time systems, hardware abstraction layers, and developer APIs that enable multimodal interaction on Nex Playground.

Either path offers the opportunity to work on deeply technical problems in machine learning systems, data infrastructure, sensing technologies, and real-time inference. You will be part of a small, highly technical team that values both specialization and collaboration, with clear ownership of core technology areas.

The Mindset

You are drawn to solving complex technical challenges at the intersection of research and production engineering. You care deeply about building systems that are reliable, performant, and maintainable. You thrive in environments where technical depth matters, where your expertise in ML systems, distributed computing, or real-time software directly shapes what the platform can do.

What You’ll Do

ML Engineering Track

• Design and build training pipelines, data workflows, and model integration systems
• Develop infrastructure that accelerates research iteration and reduces turnaround time
• Build systems for data collection, curation, and preprocessing at scale
• Create tools and automation that move experiments toward production readiness
• Optimize data pipelines for reliability, performance, and observability
• Collaborate with ML researchers to understand their needs and remove technical blockers
• Work on model serving infrastructure and integration with the production framework

Framework Engineering Track

• Design and develop a robust, performant, cross-platform framework for sensing, detection, haptics, and ML inference
• Build efficient runtime execution systems and hardware abstraction layers
• Develop developer APIs that make complex sensing and inference accessible
• Optimize for real-time performance on multimodal data streams
• Work on camera, microphone, and haptics integration
• Implement code that runs reliably across different platforms and hardware configurations
• Improve framework stability, performance, and developer experience

Both Tracks

• Write clean, well-tested code that maintains high engineering standards
• Participate in code reviews and help raise the engineering bar across the team
• Contribute to shared tools, infrastructure, and cross-role projects (20% Time)
• Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction
• Document systems and decisions to support team knowledge sharing

Must Have

ML Engineering Track

• 3+ years of professional software engineering experience in building production ML systems, training infrastructure, or research platforms
• Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go)
• Hands-on experience with PyTorch or TensorFlow in production or research environments
• Experience building or maintaining ML training pipelines or data workflows
• Familiarity with model deployment, inference optimization, or MLOps practices

Framework Engineering Track

• 3+ years of professional software engineering experience in building real-time software frameworks, cross-platform systems, or performance-critical applications
• Proficiency in C++/C#, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go)
• Experience with cross-platform development
• Proven track record with performance optimization, real-time systems, or hardware abstraction layers
• Experience building developer APIs or software frameworks used by other engineers

Nice To Have

For ML Engineering Track

• Experience with distributed training systems or GPU-accelerated computing
• Knowledge of data versioning, experiment tracking, or ML metadata management
• Familiarity with containerization (Docker) and orchestration tools
• Contributions to open-source ML projects or research publications

For Framework Engineering Track

• Experience building real-time systems or low-latency software
• Familiarity with computer vision, signal processing, or embedded systems
• Experience with cross-platform development or hardware abstraction
• Knowledge of performance optimization and profiling
• Experience with sensing technologies (cameras, microphones, or similar)
• Familiarity with CI/CD pipelines and automated testing

For Either Track

• Experience working in small, high-performance technical teams
• Background in startups, high-growth environments, or consumer product companies
• Passion for pushing technical boundaries and deep problem-solving

Location: Hong Kong
Type: Full Time

The Role

As a Senior Software Engineer at Nex, you will architect and build the scalable backbone of our global platform powering e‑commerce, subscriptions, user management, device pairing, content delivery, support systems, analytics, and system updates. Your work will serve many millions of connected devices and the operating systems behind them, shaping daily user experiences worldwide. You will partner with business, product, and operation teams, to deliver backend infrastructure that is simple, robust, observable, and reliable at scale.

The Mindset

You care deeply about elegant, scalable systems. You thrive in fast‑paced, product‑driven environments and see great backend engineering as the intersection of craft, simplification, and impact. You enjoy solving problems across performance, security, reliability, and maintainability. You are customer‑obsessed and biased for action. You move quickly while staying precise, careful, and risk‑aware.

What You’ll Do

• Design, build, and operate scalable backend services for e‑commerce, subscriptions, accounts, device activation, content delivery, support, analytics, and system updates.
• Build services that are reliable, fault‑tolerant, and highly observable, with strong monitoring, logging, and alerting.
• Develop robust APIs and backend logic using contemporary languages and runtimes (primarily Node.js, Python, and Go, selected based on project needs and performance goals).
• Implement and optimize authentication flows, including OAuth and device authentication.
• Use cloud and container technology for deployment, scaling, and service management.
• Architect fault‑tolerant systems using queues, service‑oriented patterns, and message‑driven workflows.
• Guide and collaborate with a mission‑aligned external engineering team.
• Work closely with business, product, and operations to deliver customer‑obsessed solutions.

Must Have

• 5+ years building backend services for high‑traffic products.
• Proven experience running highly observable services in production using Docker and Kubernetes.
• Experience with distributed systems, big data workflows, and database optimization across NoSQL and PostgreSQL.
• Deep understanding of data consistency principles, safe operation design, and concurrency control.
• Passion for deep technical challenges and raising the engineering bar.
• Ability to lead troubleshooting and postmortems during production incidents.
• Ability to work effectively with global teams across time zones.
• Proficiency in English communication.

Nice To Have

• Experience with authentication patterns including OAuth and device flows.
• Experience building fault‑tolerant systems using queues and service‑based or microservices architectures.
• Expertise with real‑time data streams and messaging tools such as Apache Kafka, SQS, or Pub/Sub.
• Familiarity with Firebase and Supabase.
• Knowledge of privacy, compliance, and information security best practices.
• Experience in startups, high‑growth environments, or consumer product companies.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Design, develop, and maintain software solutions with clean, modern architecture
• Partner with front office to drive technical solutions around new trading initiatives
• Communicate with quants and traders regularly to deliver bespoke solutions
• Bring in new ideas and insights using data driven pipelines and analytics

Your present skillset

• 2-8 years of software development experience
• Solid experience in Python and core libraries such as Numpy, Pandas is a must
• Proven understanding of modern software architecture
• Strong computer science fundamentals
• Experience with Linux environments, Cloud Platforms (AWS preferred) and Containerized applications (Docker preferred)
• Experience with other programming languages such as Java, C++, C# is a plus, but not necessary
• Agility to work in a fast-paced environment with varying demands
• Strong team-player
• Strong communication skills essential
• Previous experience in finance is an advantage, but not a must

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

As an Infrastructure Support Engineer (AWS), you will play a key role in designing, maintaining, and securing cloud infrastructure to support critical business operations. The team works closely with development teams, DevOps, and system administrators to ensure seamless cloud functionality. 

Your future role at QRT:

• Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk 
• Troubleshooting and resolving complex technical issues related to AWS infrastructure. 
• Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions 
• Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk 
• Develop automation scripts using Terraform, CloudFormation, and other tools to improve cloud management and efficiency. 
• Work on continuous monitoring and optimizing performance and cost-effectiveness of cloud infrastructure. 
• Evaluate and recommend new technologies to improve the reliability, scalability, and security of the company's cloud infrastructure 

Your present skillset: 

• Troubleshooting should be core to your skill set and will be extremely useful to have ability to dive into issues without much context and troubleshoot the way to resolution. 
• 8+ years' experience as a Cloud Architect or Engineer with a strong focus on AWS technologies. 
• In-depth knowledge of AWS services, including EKS, EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch, and others 
• Proficiency with scripting languages (e.g. Python, Bash) 
• Hands-on experience with configuration management tools (e.g. Ansible, Terraform). 
• Experience with containers and orchestration technologies (e.g. Docker, ECS, Kubernetes) 
• Experience with monitoring and performance tuning in cloud environments. 
• Familiarity with agile software development methodologies 
• Experience debugging with software development tools. 
• Experience with working and troubleshooting with Windows and Linux OS administration. 
• The ability to duplicate specific software error or AWS configuration to define the cause. 
• Excellent verbal and written communication skills, and the ability to interpret and answer complex technical questions, provide and ensure user follow-up and contribute to knowledge base content. 
• Maintain patience and composure as you help end users through their issues. 
• AWS certifications (Solutions Architect, DevOps Engineer, etc) are a plus

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Team & Role Overview

We are seeking a highly skilled and experienced technologist to work in our Cloud Service & Tools team. This team is responsible for deploying, maintaining and supporting companywide tools available in a distributed cloud and on-premises environment. As part of the Service & Tools team, you’ll be working on tools like Gitlab, Kubernetes, as well as in house systems, and more generally on AWS administration.

Your present skillset

• Kubernetes and container knowledge (EKS, Podman, Docker)
• Developing and troubleshooting CI/CD (Gitlab CI is a plus)
• Infrastructure as code, automated configuration languages and tools such as Terraform and Ansible
• Experience of developing, monitoring and supporting distributed systems in production (tools like Cloudwatch, Coralogix or Open Telemetry are a plus)
• Understanding of Linux OS, particularly RHEL/Rocky 9
• Good understanding of core AWS services
  • VPC security and networking
  • EC2 configuration and scaling
  • Storage services S3, EFS, EBS and FSx
  • IAM
• Knowledge of administration for the following tools is a plus but is not mandatory:
  • Gitlab on premises
  • Snowflake
  • Clickhouse Cloud
• Knowledge of languages like Python, C#, Rust is appreciated
• English, spoken and written is mandatory.
• Happy to work in a fast-paced environment with multiple conflicting demands and changing priorities.
• Effective communicator, able to describe complex issues at the appropriate level for a given audience.
• Happy to coach colleagues and eager to learn from them.
• Able to work in autonomy.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Flow Traders is looking for a Senior Research Engineer to join our Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities. 

As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves.

What You Will Do

• Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production
• Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals

What You Need to Succeed

• Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar
• 8+ years of hands-on experience MLOps, Research Engineering, or ML Research
• A strong background in mathematics and statistics
• Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray.
• Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
• Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
• Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)

Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

• Linux System Administration: Install, configure, patch, and maintain RHEL/Fedora servers.
• Performance & Low‑Latency Tuning: Conduct network, system, and kernel tuning for ultra‑low‑latency workloads; develop benchmarks and monitoring dashboards.
• Scripting & Automation: Write robust Bash, Python, and Perl scripts for routine tasks, diagnostics, and custom tooling.
• Configuration Management: Build and maintain Ansible playbooks or Salt states (Salt preferred); enforce idempotent configurations across hundreds of nodes.
• Virtualisation & Cloud: Deploy and manage Proxmox clusters; create/maintain VMs and containers; integrate with AWS services where applicable.
• Network Engineering: Implement and troubleshoot advanced networking (VLANs, bonding, NIC teaming, SR‑IOV, TCP/UDP tuning, QoS). Cisco networking and Fortinet experience is a plus.
• Storage Engineering: Manage and troubleshoot SAN and NAS storage solutions and block‑level storage using iSCSI. Perform LUN masking, multipathing, and performance tuning for Linux hosts. HPE SAN experience a plus.
• Incident Response: Provide timely response to production incidents; some after‑hours/weekend work is required.
• Documentation & Knowledge Sharing: Produce clear runbooks, SOPs, and technical documentation; mentor junior engineers.
• Security & Compliance: Apply hardening guidelines, manage SELinux where required, and support audit requirements.

• Minimum Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5–10 years of professional Linux engineering experience (RHEL/Fedora).
• Strong problem‑solving skills, ability to work independently and as part of a team, and a proactive attitude toward automation and improvement.
• Strong networking fundamentals (TCP/IP, routing, switching, firewalls).
• System, kernel, and network performance tuning (including low‑latency).
• Hands‑on experience with Proxmox (preferred) or comparable platforms (KVM, VMware).
• Advanced Bash, Python, and Perl scripting.
• Proven experience with Ansible or Salt (Salt preferred).
• Experience with container technologies (Docker, LXC/LXD).
• Familiarity with monitoring stacks (Prometheus, Grafana, Zabbix, LibreNMS).
• Knowledge of security frameworks (CIS, NIST).
• Experience with Windows networking.
• Working knowledge of AWS services (EC2, VPC, S3) is nice to have.
• Prior work in high‑frequency trading and financial services is nice to have
• Fluency in English. Mandarin and Cantonese fluency are nice to have

What We Offer

• Dynamic and collaborative work environment
• A flat management structure where everyone’s voice is valued
• Work-life balance within a multicultural environment
• Fully stocked kitchen for breakfast and lunch
• Attractive benefits package with a discretionary bonus

Eclipse Trading is an equal opportunity employer and we believe that diversity and inclusion are essential pillars of our success as a company. We are dedicated to embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential.

All information provided will be treated in strict confidence and used solely for recruitment purposes.

Due to the high number of responses that we receive, we are only able to respond to successful applicants.

Note: The use of AI tools during interviews or assessments is strictly prohibited unless explicitly authorized. We employ multiple methods to verify the authenticity of candidate responses. If it is determined that AI assistance was used at any stage of the hiring process without prior approval, we reserve the right to disqualify your application or rescind any job offer.

Location: Hong Kong
Type: Full Time

The Role

As a Software Engineer at Nex, you will design and build the scalable backbone of our global platform powering e‑commerce, subscriptions, user management, device pairing, content delivery, support systems, analytics, and system updates. Your work will serve many millions of connected devices and the operating systems behind them, shaping daily user experiences worldwide. You will partner with business, product, and operation teams to deliver backend infrastructure that is simple, robust, observable, and reliable at scale.

The Mindset

You care deeply about elegant, scalable systems. You thrive in fast‑paced, product‑driven environments and see great backend engineering as the intersection of craft, simplification, and impact. You enjoy solving problems across performance, security, reliability, and maintainability. You are customer‑obsessed and biased for action. You move quickly while staying precise, careful, and risk‑aware.

What You’ll Do

• Design, build, and operate backend services for e‑commerce, subscriptions, accounts, device activation, content delivery, and system updates.
• Build services that are reliable and observable, with monitoring, logging, and alerting, and use cloud and container technology for deployment and service management.
• Implement robust APIs and backend logic using contemporary languages and runtimes (primarily Node.js, Python, and Go).
• Partner with business, product, and operations stakeholders to deliver customer‑obsessed solutions.

Must Have

• 2+ years building backend services for production systems.
• Experience running services in production using Docker and Kubernetes.
• Experience with databases such as RDBMS and NoSQL.
• Familiar with data consistency principles, safe operation design, and concurrency control.
• Passion for deep technical challenges and continuous improvement.
• Proficiency in English communication.

Nice To Have

• Experience with authentication patterns including OAuth.
• Experience with message queues or microservices architectures.
• Familiarity with messaging tools such as Apache Kafka, SQS, or Pub/Sub.
• Knowledge of privacy and security best practices.
• Experience in startups or high‑growth environments.

Summary: Join a leading DeFi protocol with high Total Value Locked (TVL) as a DevOps Engineer, ensuring 24/7 uptime and seamless operations. This role involves designing CI/CD pipelines and managing cloud security to support a robust and secure infrastructure within the fintech industry.

Responsibilities:

• Design and implement CI/CD pipelines to streamline deployment processes.
• Manage and enhance cloud security measures to protect against potential threats.
• Ensure 24/7 system uptime and reliability for a major DeFi protocol.
• Collaborate with cross-functional teams to implement best practices in DevOps and security.
• Monitor and optimize system performance and cost-efficiency.
• Automate infrastructure provisioning using tools like Terraform.

Required Skills:

• Mastery of Docker, Kubernetes (K8s), and Terraform.
• Proven experience in a fintech environment with high security standards.
• Strong expertise in cloud security and CI/CD pipeline design.
• Excellent problem-solving skills and attention to detail.
• Ability to work in a high-paced, 24/7 operational environment.

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

We are seeking a seasoned Backend Engineer with deep expertise in decentralized finance (DeFi) to lead the architectural design and development of our client's high-performance DEX platform. You will be responsible for building the core components of a world-class trading environment, focusing on ultra-low latency, high concurrency, and uncompromising security.

Key Responsibilities

• Architectural Leadership: Design and develop the core server-side architecture for a Decentralized Exchange (DEX).

• Core Module Engineering: Lead the implementation of critical modules, including matching engines, order books, market data broadcasting, risk management, and clearing/settlement systems.

• Infrastructure & Connectivity: Develop and maintain high-performance trading gateways (REST/WebSocket), market data feeds, and K-line services.

• Performance Optimization: Ensure the stability and performance of high-concurrency, low-latency trading systems through rigorous JVM tuning and system-level optimizations.

• Resilience & Security: Build foundational capabilities for data persistence, comprehensive logging, automated backups, and robust disaster recovery protocols.

• Cross-Functional Collaboration: Partner closely with Smart Contract and Frontend teams to ensure seamless end-to-end integration across the entire trading lifecycle.

Required Qualifications & Skills

• Educational Background: Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field.

• Java Expertise: 8+ years of professional Java development experience, with mastery of multi-threading, concurrency models, and JVM performance tuning.

• DEX Domain Knowledge: 3+ years of direct experience in DEX/Exchange server-side development, with a deep understanding of matching, clearing, and risk control workflows.

• High-Performance Frameworks: Proven experience with LMAX Disruptor, Chronicle, or similar high-performance frameworks; familiarity with Exchange-core architectures is essential.

• Data Management: Expertise in MySQL, Redis, and MongoDB, including advanced database design, index optimization, and distributed transaction management.

• System Reliability: Deep understanding of multi-active database deployments and disaster recovery; ability to lead team-wide emergency drills.

• Messaging & Streaming: Proficiency in Kafka (consumer groups, partitioning, persistence) and real-time data processing.

• Cloud & DevOps: Hands-on experience with Docker and Kubernetes (Deployment, Service, Ingress, Monitoring); proficiency with AWS or Alibaba Cloud ecosystems (EC2/ECS, RDS, OSS).

Preferred Attributes (Bonus)

• Experience with EVM-based on-chain settlement, Oracles, and off-chain data integration.

• Familiarity with modern observability stacks, including Prometheus, Grafana, and ELK.

• Polyglot capabilities: Ability to develop stable auxiliary services in Golang or Node.js for on-chain data retrieval and analysis.

We are seeking a seasoned Backend Engineer with deep expertise in decentralized finance (DeFi) to lead the architectural design and development of our client's high-performance DEX platform. You will be responsible for building the core components of a world-class trading environment, focusing on ultra-low latency, high concurrency, and uncompromising security.

Key Responsibilities

• Architectural Leadership: Design and develop the core server-side architecture for a Decentralized Exchange (DEX).

• Core Module Engineering: Lead the implementation of critical modules, including matching engines, order books, market data broadcasting, risk management, and clearing/settlement systems.

• Infrastructure & Connectivity: Develop and maintain high-performance trading gateways (REST/WebSocket), market data feeds, and K-line services.

• Performance Optimization: Ensure the stability and performance of high-concurrency, low-latency trading systems through rigorous JVM tuning and system-level optimizations.

• Resilience & Security: Build foundational capabilities for data persistence, comprehensive logging, automated backups, and robust disaster recovery protocols.

• Cross-Functional Collaboration: Partner closely with Smart Contract and Frontend teams to ensure seamless end-to-end integration across the entire trading lifecycle.

Required Qualifications & Skills

• Educational Background: Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field.

• Java Expertise: 8+ years of professional Java development experience, with mastery of multi-threading, concurrency models, and JVM performance tuning.

• DEX Domain Knowledge: 3+ years of direct experience in DEX/Exchange server-side development, with a deep understanding of matching, clearing, and risk control workflows.

• High-Performance Frameworks: Proven experience with LMAX Disruptor, Chronicle, or similar high-performance frameworks; familiarity with Exchange-core architectures is essential.

• Data Management: Expertise in MySQL, Redis, and MongoDB, including advanced database design, index optimization, and distributed transaction management.

• System Reliability: Deep understanding of multi-active database deployments and disaster recovery; ability to lead team-wide emergency drills.

• Messaging & Streaming: Proficiency in Kafka (consumer groups, partitioning, persistence) and real-time data processing.

• Cloud & DevOps: Hands-on experience with Docker and Kubernetes (Deployment, Service, Ingress, Monitoring); proficiency with AWS or Alibaba Cloud ecosystems (EC2/ECS, RDS, OSS).

Preferred Attributes (Bonus)

• Experience with EVM-based on-chain settlement, Oracles, and off-chain data integration.

• Familiarity with modern observability stacks, including Prometheus, Grafana, and ELK.

• Polyglot capabilities: Ability to develop stable auxiliary services in Golang or Node.js for on-chain data retrieval and analysis.

We are representing a leading force in the decentralized exchange (DEX), and seeking a high-caliber technical leader to architect the backbone of a global financial ecosystem. In this role, you will bridge the gap between complex blockchain environments and high-availability cloud infrastructure. Reporting to the Director of Engineering, you will be empowered to drive reliability, performance, and security for a platform handling institutional-grade volume. This is an opportunity for a "builder" to own the infrastructure lifecycle in a lean, high-velocity engineering culture.

Core Responsibilities

• Infrastructure Architecture: Design, optimize, and manage multi-region Kubernetes clusters and core platform services to support massive scale.

• System Resiliency: Lead the site reliability strategy from initial design through deployment, ensuring the platform remains robust and secure against global demands.

• Engineering Mentorship: Act as a subject matter expert for the broader software engineering team, instilling best practices and evolving internal development processes.

• Rapid Incident Response: Own production stability by leading incident resolution efforts, maintaining industry-leading uptime, and optimizing system performance.

• Strategic Growth: Partner with senior leadership to scale an adaptable, high-output infrastructure team while aligning technical resources with business goals.

Professional Requirements

• High-Stakes SRE Experience: Significant background in Site Reliability Engineering within complex, multi-datacenter environments where uptime and performance are mission-critical.

• Modern Tooling Mastery: Expert-level proficiency in AWS, Kubernetes, Terraform, and Docker, with a strong software engineering foundation.

• Security-First Mindset: Deep expertise in securing sophisticated cloud network architectures and protecting sensitive financial data.

• Advanced Infrastructure Knowledge: Proven experience with low-latency systems, multi-cloud strategy, and the HashiCorp stack (Vault, Consul, etc.).

• Technical Leadership: Demonstrated ability to lead high-impact projects and mentor engineers in a fast-paced, collaborative environment.

Who We Are

Build. Scale. Sustain. 

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
• We are robust and resilient: 100% independent and 0 debt
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2^TM

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
  With Gen-e2^TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

YOUR ROLE:

As a DevOps Engineer, you will be responsible for designing, building, and maintaining scalable and reliable cloud infrastructure using AWS/Azure/Openstack/Kubernetes. You will apply DevOps practices and solutions, conduct client workshops to identify challenges, develop transformation roadmaps, and deliver technical solutions. Additionally, you will coach delivery teams on DevOps best practices and approach projects with an engineering consultant mindset, providing expert guidance and strategic consulting to clients.

Working closely with project teams and business stakeholders, you'll provide technical expertise that enables innovation through both traditional development practices and AI-augmented workflows. Your outstanding interpersonal skills will help you build or be part of a high-performing engineering team that consistently exceeds expectations by effectively combining human expertise with AI capabilities.

YOUR RESPONSIBILITIES

• Provide customers with reliable and scalable cloud solutions using AWS, Azure, and Kubernetes.
• Design, build, configure, maintain, and support cloud infrastructure.
• Implement and support various CI/CD, security, and testing tools.
• Develop multi-stage CI/CD pipelines to enable faster and frequent releases to production; assist delivery teams in automating their build and deployment processes.
• Document and share knowledge on developed DevSecOps solutions.
• Conduct client workshops to identify challenges, develop transformation roadmaps, and deliver technical solutions.
• Collaborate with clients and other PALO IT teams to understand client requirements, design comprehensive end-to-end approaches, and implement DevOps solutions that meet client needs.
• Approach projects with an engineering consultant mindset, providing expert guidance and strategic consulting to clients.
• Utilize AI development tools such as GitHub Copilot and Cursor to enhance development processes and improve efficiency.

YOUR PROFILE

As our company transitions into an AI-focused firm, all developers are expected to demonstrate proficiency in AI-augmented development practices. We are looking for a creative, self-motivated individual with the following qualifications and qualities:

• Proficiency in working with AI coding assistants (e.g., GitHub Copilot, Cursor) for code generation and problem-solving.
• Understanding of prompt engineering principles for optimal AI tool interaction.
• Ability to effectively collaborate with AI tools while maintaining code quality and adherence to best practices.
• Critical thinking to validate and verify AI-generated code and solutions.
• Adaptability and willingness to continuously learn and stay updated with the rapidly evolving AI landscape.
• Deep understanding of cloud computing technologies, deployment, costing, HA/DR, etc.
• Ability to coach delivery teams on DevOps principles (e.g., CI/CD, test automation, release automation) and engineering practices (e.g., TDD, BDD).
• Proficiency with public cloud platforms such as AWS and Azure. Strong exposure to container technologies (e.g., Docker, Kubernetes, AWS EKS, AKS).
• Hands-on experience with automation and infrastructure-as-code using tools like Terraform, AWS CloudFormation, SAM, ARM, and Bicep.
• Experience in developing and implementing processes for handling releases from development to operations, including rollback solutions.
• Hands-on experience in designing, developing, and migrating CI/CD pipelines (e.g., GitHub Actions, Azure DevOps Pipelines).
• Good understanding of microservice and event-driven architectures and DevSecOps practices for complex distributed systems.
• Proficiency in setting up and configuring monitoring tools (e.g., ELK, Prometheus, Grafana, Splunk) and security tools (SAST, DAST, etc.).
• Strong RDBMS and NoSQL skills in deploying and fine-tuning databases such as MySQL, Oracle, and Elasticsearch.
• 6-10 years of experience in platform automation, applying various DevOps principles.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company 
• Deliver projects with a positive impact
• Train 100% of our workforce on impact 
• Achieve B Corp certification among all our offices across the globe 
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

To learn more about our team culture and benefits, visit our careers page. If you resonate with our values, we look forward to connecting with you!

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race or ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other legally protected status.

Information provided by applicants will be for recruitment purposes within PALO IT and only the short-listed candidates will be contacted.

For further information on our company, please visit our website: https://www.palo-it.com/en-hk/

The Role: 

We need a Data & Cloud Engineer to manage and optimize our data solutions within the cloud environment. This role involves designing, implementing, and maintaining data systems that are scalable, secure, and cost-effective. 

In this role, you will: 

• Design and implement data architectures on cloud platforms, primarily AWS. 
• Manage data lifecycle, from ingestion to archiving, ensuring data integrity and compliance. 
• Optimize data storage, retrieval, and processing for cost-efficiency and performance. 
• Work with other engineers to integrate cloud solutions into the broader system architecture. 
• Automate deployment and management of infrastructure using tools like Terraform. 
• Monitor system health, performance, and provide insights for continuous improvement. 

You might thrive in this role if you have: 

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. 
• 4+ years of experience in data engineering with a focus on cloud technologies. 
• Proficiency in Solidity to integrate and work with smart contract and DeFi data systems.
• Proficiency in AWS services related to data management (e.g., S3, RDS, Redshift, DynamoDB). 
• Experience with SQL and NoSQL databases, data pipelines, and ETL processes. 
• Knowledge of Docker, Kubernetes, and CI/CD pipelines for deployment automation. 
• Strong analytical skills to translate data needs into cloud solutions.

#LI-REMOTE

We are hiring for one of our clients. They are a fast-growing Web3 startup rethinking how digital identity and reputation work online. They’re building privacy-first infrastructure that lets users prove who they are and what they’ve done—without giving up personal data. Backed by strong ecosystem partners and a passionate founding team, the company is shaping a more trusted and user-centric internet.

We are looking for a Protocol Engineer to design, implement, and operate the core software of a L1 Chain—focusing on reliability, performance, and the identity‑specific features. 

Responsibilities

• Drive full lifecycle of Cosmos SDK/Tendermint modules: build, customize, and maintain with deep consensus/networking impact.
• Engineer EVM-compatible capabilities on Evmos—precompiles, fee markets, state logic, and cross-layer behaviors.
• Implement and run BNB Greenfield storage integrations: permissions, cross-chain flows, and app-level patterns.
• Manage chain upgrades, hotfixes, and param changes via governance, migrations, and multi-env execution.
• Own stack reliability: node ops, RPC tuning, indexing, monitoring, alerting, and incident response.

Requirements

• Expert Golang in Cosmos/Tendermint; mastery of state machines and consensus.
• Deep Evmos EVM proficiency: precompiles, opcodes/gas, JSON-RPC, cross-compat.
• Hands-on with Greenfield SDKs/APIs, ACLs, and chain/contract integration patterns.
• Strong in Docker/K8s, CI/CD, IaC for chain infra; plus node ops (pruning, sync, RPC).
• Rigorous testing (simulations, property-based, upgrade rehearsals) and observability (Prom/Grafana, traces, playbooks).

We are hiring for one of our clients. They are a fast-growing Web3 startup rethinking how digital identity and reputation work online. They’re building privacy-first infrastructure that lets users prove who they are and what they’ve done—without giving up personal data. Backed by strong ecosystem partners and a passionate founding team, the company is shaping a more trusted and user-centric internet.

We are looking for a Protocol Engineer to design, implement, and operate the core software of a L1 Chain—focusing on reliability, performance, and the identity‑specific features. 

Responsibilities

• Drive full lifecycle of Cosmos SDK/Tendermint modules: build, customize, and maintain with deep consensus/networking impact.
• Engineer EVM-compatible capabilities on Evmos—precompiles, fee markets, state logic, and cross-layer behaviors.
• Implement and run BNB Greenfield storage integrations: permissions, cross-chain flows, and app-level patterns.
• Manage chain upgrades, hotfixes, and param changes via governance, migrations, and multi-env execution.
• Own stack reliability: node ops, RPC tuning, indexing, monitoring, alerting, and incident response.

Requirements

• Expert Golang in Cosmos/Tendermint; mastery of state machines and consensus.
• Deep Evmos EVM proficiency: precompiles, opcodes/gas, JSON-RPC, cross-compat.
• Hands-on with Greenfield SDKs/APIs, ACLs, and chain/contract integration patterns.
• Strong in Docker/K8s, CI/CD, IaC for chain infra; plus node ops (pruning, sync, RPC).
• Rigorous testing (simulations, property-based, upgrade rehearsals) and observability (Prom/Grafana, traces, playbooks).

We are hiring for one of our clients. They are a fast-growing Web3 startup rethinking how digital identity and reputation work online. They’re building privacy-first infrastructure that lets users prove who they are and what they’ve done—without giving up personal data. Backed by strong ecosystem partners and a passionate founding team, the company is shaping a more trusted and user-centric internet.

We are looking for a Protocol Engineer to design, implement, and operate the core software of a L1 Chain—focusing on reliability, performance, and the identity‑specific features. 

Responsibilities

• Drive full lifecycle of Cosmos SDK/Tendermint modules: build, customize, and maintain with deep consensus/networking impact.
• Engineer EVM-compatible capabilities on Evmos—precompiles, fee markets, state logic, and cross-layer behaviors.
• Implement and run BNB Greenfield storage integrations: permissions, cross-chain flows, and app-level patterns.
• Manage chain upgrades, hotfixes, and param changes via governance, migrations, and multi-env execution.
• Own stack reliability: node ops, RPC tuning, indexing, monitoring, alerting, and incident response.

Requirements

• Expert Golang in Cosmos/Tendermint; mastery of state machines and consensus.
• Deep Evmos EVM proficiency: precompiles, opcodes/gas, JSON-RPC, cross-compat.
• Hands-on with Greenfield SDKs/APIs, ACLs, and chain/contract integration patterns.
• Strong in Docker/K8s, CI/CD, IaC for chain infra; plus node ops (pruning, sync, RPC).
• Rigorous testing (simulations, property-based, upgrade rehearsals) and observability (Prom/Grafana, traces, playbooks).

We are hiring for one of our clients. They are a fast-growing Web3 startup rethinking how digital identity and reputation work online. They’re building privacy-first infrastructure that lets users prove who they are and what they’ve done—without giving up personal data. Backed by strong ecosystem partners and a passionate founding team, the company is shaping a more trusted and user-centric internet.

We are looking for a Protocol Engineer to design, implement, and operate the core software of a L1 Chain—focusing on reliability, performance, and the identity‑specific features. 

Responsibilities

• Drive full lifecycle of Cosmos SDK/Tendermint modules: build, customize, and maintain with deep consensus/networking impact.
• Engineer EVM-compatible capabilities on Evmos—precompiles, fee markets, state logic, and cross-layer behaviors.
• Implement and run BNB Greenfield storage integrations: permissions, cross-chain flows, and app-level patterns.
• Manage chain upgrades, hotfixes, and param changes via governance, migrations, and multi-env execution.
• Own stack reliability: node ops, RPC tuning, indexing, monitoring, alerting, and incident response.

Requirements

• Expert Golang in Cosmos/Tendermint; mastery of state machines and consensus.
• Deep Evmos EVM proficiency: precompiles, opcodes/gas, JSON-RPC, cross-compat.
• Hands-on with Greenfield SDKs/APIs, ACLs, and chain/contract integration patterns.
• Strong in Docker/K8s, CI/CD, IaC for chain infra; plus node ops (pruning, sync, RPC).
• Rigorous testing (simulations, property-based, upgrade rehearsals) and observability (Prom/Grafana, traces, playbooks).

We are hiring for one of our ecosystem projects in the digital asset space, we are looking for a Blockchain Developer to design, develop, and implement blockchain-based solutions for a high-performance trading system. The ideal candidate will have expertise in blockchain technologies, smart contract development, and trading system architecture, ensuring secure, scalable, and efficient solutions for decentralized trading applications.

Job Description:

• Design and develop blockchain-based trading platforms, including decentralized exchanges (DEX), automated market makers (AMM), or order-book systems.
• Write, test, and deploy secure smart contracts using platforms such as Ethereum, Binance Smart Chain, Solana, or other blockchain networks.
• Integrate blockchain solutions with front-end and back-end systems to enable seamless trading functionality.
• Implement security best practices to protect against vulnerabilities, including reentrancy attacks, front-running, and unauthorized access.
• Optimize smart contracts for gas efficiency and system performance to handle high-frequency trading scenarios.
• Collaborate with cross-functional teams, including traders, product managers, and DevOps engineers, to define system requirements and ensure alignment with business goals.
• Ensure compliance with relevant financial regulations and standards for trading systems.
• Monitor and maintain blockchain nodes, ensuring uptime and reliability of the trading infrastructure.
• Stay updated on emerging blockchain technologies, protocols, and industry trends to enhance system capabilities.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 3+ years of experience in blockchain development, with a focus on building decentralized applications (dApps) or trading systems.
• Proficiency in programming languages such as Solidity, Rust, or Go for smart contract development.
• Strong understanding of blockchain protocols (e.g., Ethereum, Solana, Polygon) and consensus mechanisms (e.g., PoW, PoS).
• Experience with trading system concepts, including order matching, liquidity pools, or market-making algorithms.
• Familiarity with DeFi protocols, token standards (e.g., ERC-20, ERC-721), and interoperability frameworks.
• Knowledge of cryptographic principles, including public/private key infrastructure and hashing algorithms.
• Experience with tools like Truffle, Hardhat, or Foundry for smart contract development and testing.
• Understanding of front-end and back-end integration (e.g., Web3.js, Ethers.js, REST APIs).
• Strong problem-solving skills and attention to detail in writing secure and efficient code.
• Excellent communication and collaboration skills to work in a fast-paced, team-oriented environment.

Nice to have:

• Experience with layer-2 scaling solutions (e.g., Optimism, Arbitrum) or cross-chain bridges.
• Knowledge of financial markets, trading strategies, or algorithmic trading.
• Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes).
• Contributions to open-source blockchain projects or active participation in blockchain communities.
• Understanding of regulatory frameworks for cryptocurrencies and trading platforms (e.g., KYC/AML compliance).

We are hiring for one of our ecosystem projects in the digital asset space, we are looking for a Blockchain Developer to design, develop, and implement blockchain-based solutions for a high-performance trading system. The ideal candidate will have expertise in blockchain technologies, smart contract development, and trading system architecture, ensuring secure, scalable, and efficient solutions for decentralized trading applications.

Job Description:

• Design and develop blockchain-based trading platforms, including decentralized exchanges (DEX), automated market makers (AMM), or order-book systems.
• Write, test, and deploy secure smart contracts using platforms such as Ethereum, Binance Smart Chain, Solana, or other blockchain networks.
• Integrate blockchain solutions with front-end and back-end systems to enable seamless trading functionality.
• Implement security best practices to protect against vulnerabilities, including reentrancy attacks, front-running, and unauthorized access.
• Optimize smart contracts for gas efficiency and system performance to handle high-frequency trading scenarios.
• Collaborate with cross-functional teams, including traders, product managers, and DevOps engineers, to define system requirements and ensure alignment with business goals.
• Ensure compliance with relevant financial regulations and standards for trading systems.
• Monitor and maintain blockchain nodes, ensuring uptime and reliability of the trading infrastructure.
• Stay updated on emerging blockchain technologies, protocols, and industry trends to enhance system capabilities.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 3+ years of experience in blockchain development, with a focus on building decentralized applications (dApps) or trading systems.
• Proficiency in programming languages such as Solidity, Rust, or Go for smart contract development.
• Strong understanding of blockchain protocols (e.g., Ethereum, Solana, Polygon) and consensus mechanisms (e.g., PoW, PoS).
• Experience with trading system concepts, including order matching, liquidity pools, or market-making algorithms.
• Familiarity with DeFi protocols, token standards (e.g., ERC-20, ERC-721), and interoperability frameworks.
• Knowledge of cryptographic principles, including public/private key infrastructure and hashing algorithms.
• Experience with tools like Truffle, Hardhat, or Foundry for smart contract development and testing.
• Understanding of front-end and back-end integration (e.g., Web3.js, Ethers.js, REST APIs).
• Strong problem-solving skills and attention to detail in writing secure and efficient code.
• Excellent communication and collaboration skills to work in a fast-paced, team-oriented environment.

Nice to have:

• Experience with layer-2 scaling solutions (e.g., Optimism, Arbitrum) or cross-chain bridges.
• Knowledge of financial markets, trading strategies, or algorithmic trading.
• Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes).
• Contributions to open-source blockchain projects or active participation in blockchain communities.
• Understanding of regulatory frameworks for cryptocurrencies and trading platforms (e.g., KYC/AML compliance).

We are hiring for one of our ecosystem projects in Web3. As a Web3 Full Stack Developer, you will design, develop, and maintain decentralized applications (dApps) and blockchain-based systems. You will work across the full stack, from smart contract development to front-end interfaces, collaborating with cross-functional teams to deliver secure, scalable, and user-friendly Web3 solutions. Your expertise in Web3 protocols and modern tech stacks will be critical to building robust applications for the decentralized web.

Key Responsibilities

• Smart Contract Development: Design, develop, test, and deploy secure smart contracts on various blockchain platforms (e.g., Ethereum, Solana, Polkadot, Cosmos).
• Backend Development: Build and maintain backend infrastructure for dApps using languages like Golang, Java, Node.js, or Rust, ensuring scalability and performance.
• Frontend Development: Create responsive, user-friendly front-end interfaces for dApps using modern frameworks (e.g., React, Vue.js, Next.js) integrated with Web3 libraries (e.g., ethers.js, web3.js).
• Blockchain Integration: Integrate dApps with blockchain networks, wallets (e.g., MetaMask, WalletConnect), and decentralized protocols (e.g., IPFS, The Graph).
• Protocol Development: Contribute to the design and implementation of Web3 protocols, including consensus mechanisms, cross-chain bridges, or DeFi primitives.
• Security & Testing: Implement secure coding practices, conduct audits, and develop testing frameworks to ensure the reliability and security of smart contracts and dApps.
• Optimization: Optimize performance of blockchain interactions, gas efficiency, and backend systems to enhance user experience and reduce costs.
• Collaboration: Work with product managers, blockchain engineers, and designers to deliver end-to-end Web3 solutions aligned with project goals.
• Research & Innovation: Stay updated on Web3 trends, emerging protocols, and new blockchain technologies to propose innovative solutions.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
• Experience:
  • 3+ years of full stack development experience, with at least 1+ years in Web3 or blockchain development.
  • Proven experience building dApps or working on Web3 protocols (e.g., DeFi, NFTs, DAOs, or layer-2 solutions).
• Technical Skills:
  • Proficiency in Golang, Java, Node.js, or Rust for backend development.
  • Experience with smart contract languages like Solidity, Vyper, or Rust (for Solana/Polkadot).
  • Strong knowledge of front-end technologies (e.g., React, Vue.js, TypeScript, Next.js) and Web3 libraries (e.g., ethers.js, web3.js).
  • Familiarity with blockchain protocols (e.g., Ethereum, Solana, Cosmos, Polkadot) and tools (e.g., Truffle, Hardhat, Foundry).
  • Experience with decentralized storage (e.g., IPFS, Filecoin) and indexing solutions (e.g., The Graph).
  • Understanding of RESTful APIs, GraphQL, and microservices architecture.
• Web3 Knowledge: Deep understanding of blockchain concepts (e.g., consensus mechanisms, gas fees, EVM, cross-chain interoperability) and Web3 ecosystems (e.g., DeFi, NFTs, DAOs).
• Security Skills: Knowledge of smart contract security best practices, common vulnerabilities (e.g., reentrancy, front-running), and auditing tool

.Bonus Skills:

• Experience with layer-2 solutions (e.g., Arbitrum, Optimism) or cross-chain bridges.
• Familiarity with DevOps tools (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP).
• Contributions to open-source Web3 projects or blockchain protocols.
• Knowledge of cryptographic principles (e.g., zero-knowledge proofs, MPC).

We are hiring for one of our ecosystem projects in Web3. As a Web3 Full Stack Developer, you will design, develop, and maintain decentralized applications (dApps) and blockchain-based systems. You will work across the full stack, from smart contract development to front-end interfaces, collaborating with cross-functional teams to deliver secure, scalable, and user-friendly Web3 solutions. Your expertise in Web3 protocols and modern tech stacks will be critical to building robust applications for the decentralized web.

Key Responsibilities

• Smart Contract Development: Design, develop, test, and deploy secure smart contracts on various blockchain platforms (e.g., Ethereum, Solana, Polkadot, Cosmos).
• Backend Development: Build and maintain backend infrastructure for dApps using languages like Golang, Java, Node.js, or Rust, ensuring scalability and performance.
• Frontend Development: Create responsive, user-friendly front-end interfaces for dApps using modern frameworks (e.g., React, Vue.js, Next.js) integrated with Web3 libraries (e.g., ethers.js, web3.js).
• Blockchain Integration: Integrate dApps with blockchain networks, wallets (e.g., MetaMask, WalletConnect), and decentralized protocols (e.g., IPFS, The Graph).
• Protocol Development: Contribute to the design and implementation of Web3 protocols, including consensus mechanisms, cross-chain bridges, or DeFi primitives.
• Security & Testing: Implement secure coding practices, conduct audits, and develop testing frameworks to ensure the reliability and security of smart contracts and dApps.
• Optimization: Optimize performance of blockchain interactions, gas efficiency, and backend systems to enhance user experience and reduce costs.
• Collaboration: Work with product managers, blockchain engineers, and designers to deliver end-to-end Web3 solutions aligned with project goals.
• Research & Innovation: Stay updated on Web3 trends, emerging protocols, and new blockchain technologies to propose innovative solutions.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
• Experience:
  • 3+ years of full stack development experience, with at least 1+ years in Web3 or blockchain development.
  • Proven experience building dApps or working on Web3 protocols (e.g., DeFi, NFTs, DAOs, or layer-2 solutions).
• Technical Skills:
  • Proficiency in Golang, Java, Node.js, or Rust for backend development.
  • Experience with smart contract languages like Solidity, Vyper, or Rust (for Solana/Polkadot).
  • Strong knowledge of front-end technologies (e.g., React, Vue.js, TypeScript, Next.js) and Web3 libraries (e.g., ethers.js, web3.js).
  • Familiarity with blockchain protocols (e.g., Ethereum, Solana, Cosmos, Polkadot) and tools (e.g., Truffle, Hardhat, Foundry).
  • Experience with decentralized storage (e.g., IPFS, Filecoin) and indexing solutions (e.g., The Graph).
  • Understanding of RESTful APIs, GraphQL, and microservices architecture.
• Web3 Knowledge: Deep understanding of blockchain concepts (e.g., consensus mechanisms, gas fees, EVM, cross-chain interoperability) and Web3 ecosystems (e.g., DeFi, NFTs, DAOs).
• Security Skills: Knowledge of smart contract security best practices, common vulnerabilities (e.g., reentrancy, front-running), and auditing tool

.Bonus Skills:

• Experience with layer-2 solutions (e.g., Arbitrum, Optimism) or cross-chain bridges.
• Familiarity with DevOps tools (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP).
• Contributions to open-source Web3 projects or blockchain protocols.
• Knowledge of cryptographic principles (e.g., zero-knowledge proofs, MPC).