Summary / Purpose of Position:

Collaborate with traders and researchers to design, develop, test, and support proprietary trading platform to capture opportunities in electronic capital markets.

Essential Duties & Responsibilities for this Position:

- Build and maintain robust, scalable, and low latency trading software

- Participate in collaborative discussions and problem solving with multiple stakeholders

- Help improve and evolve software design and maintenance workflows and practices

- Mentor team members and improve knowledge acquisition and sharing

Qualifications, Skills and Knowledge Required:

- Bachelor’s degree or equivalent in a STEP/STEM field such as computer science, engineering, mathematics, or physics.

- Expert knowledge of modern C++

- Working knowledge of Python

- Experience with test driven development and continuous integration

- Experience developing software for Linux

- Understanding of software design principles and algorithmic complexity

- Desire to solve complex and novel problems in a collaborative environment

- Strong sense of ownership and urgency

- Ability to communicate clearly with stakeholders

- Logical problem solver with the ability to quickly understand new and complex concepts

- Pragmatic self-starter with a flexible can-do mentality

To apply, please submit your CV to careers@fenix-one.com. Please note that only shortlisted candidates will be contacted.

About the Role

We love engineers who love solving new problems every single day.

• Data Egress - How does one transport 100s of TBs of data around the world without breaking the piggybank? (https://www.databricks.com/blog/announcing-public-preview-delta-sharing-cloudflare-r2-integration)
• Handle high traffic - How can we support the biggest applications in this industry and allow handle 100,000 QPS at peak traffic and not go down? (https://www.allium.so/post/the-inside-story-of-the-jup-airdrop-at-phantom)
• Botnets - This industry is in its early days, how does one catch botnets based on their behavioral patterns? (https://www.allium.so/post/initial-report-for-the-10-6k-botnet)
• Fraud (Sybil) Detection - Is it possible to transfer the same fraud detection heuristics into this blockchain world? (https://www.allium.so/post/from-eligibility-to-sybil-detection-a-deep-dive-into-wormholes-multichain-airdrop)
• Who is real? - What constitutes meaningful and organic transactions on the blockchain? (https://www.allium.so/post/visa-x-allium-making-sense-of-stablecoins)
• Bring Your Own Transformation - How do we let our customers design their own APIs and transform their own realtime data streams? (https://docs.allium.so/allium-app/explorer-api/quickstart)
• Data Governance - We pride ourselves on our data quality - How can we ensure our data is consistent across every copy and every region 24/7?
• AI and LLMs - How does one design the LLM and AI experience on top of our data to lower the barrier of entry to crypto data? (https://docs.allium.so/allium-app/allium-explorer/allium-ai-assistant)
• Data Transformation Holy grail: How can one unify streaming and batch transformation logic into a single code base?

Please also send your application to https://jobs.ashbyhq.com/allium

Experience: 6 Months – 1Year

Employment Type: Full-Time

About the Role

We are looking for a motivatedand enthusiastic Junior Software Developer with foundational experience inPython development, Data Analytics, and Artificial Intelligence. The idealcandidate will be passionate about technology, eager to learn, and capable ofcontributing to software development and data-driven projects under theguidance of senior team members.

Key Responsibilities

• Develop, test, and maintain software applications using Python.
• Assist in building data pipelines, data processing scripts, and automation solutions.
• Analyze and interpret data to generate meaningful insights and reports.
• Support the development and implementation of AI/ML models and applications.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Participate in code reviews and follow software development best practices.
• Debug, troubleshoot, and resolve application issues.
• Document code, processes, and technical solutions.
• Stay updated with emerging technologies in AI, data analytics, and software development.

Required Skills &Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• 6 months to 1 year of hands-on experience in software development or relevant internships/projects.
• Strong knowledge of Python programming.
• Basic understanding of data structures, algorithms, and object-oriented programming.
• Familiarity with SQL and relational databases.
• Understanding of data analytics concepts and data visualization techniques.
• Basic knowledge of machine learning and AI concepts.
• Experience with Python libraries such as:
• Pandas
• NumPy
• Matplotlib / Seaborn
• Scikit-learn
• Familiarity with version control systems such as Git.
• Good analytical, problem-solving, and communication skills.

Preferred Skills

• Exposure to Generative AI, Large Language Models (LLMs), or AI frameworks.
• Experience with APIs and web frameworks such as Flask or FastAPI.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with Jupyter Notebooks and data science workflows.
• Understanding of data visualization tools such as Power BI or Tableau.
• Exposure to AI tools and frameworks such as TensorFlow, PyTorch, LangChain, or OpenAI APIs.

Key Competencies

• Strong willingness to learn and adapt to new technologies.
• Attention to detail and commitment to quality.
• Team player with a collaborative mindset.
• Ability to manage multiple tasks in a fast-paced environment.
• Strong problem-solving and analytical thinking abilities.

Responsibilities

* Assist in developing and maintaining cloud-native applications and services

* Collaborate with cross-functional teams in Agile environments such as Scrum or SAFe

* Participate in code reviews and follow engineering best practices and coding standards

* Learn and contribute to CI/CD pipelines, automated testing, and deployment processes

* Support troubleshooting, debugging, and resolving production or development issues

* Write clean, maintainable, and well-tested code

* Participate in sprint planning, estimation, and team discussions

* Contribute ideas and improvements to engineering practices and developer experience

* Work with senior engineers to understand system architecture and technical design decisions

* Communicate effectively with both technical and non-technical team members

PROFESSIONAL & TECHNICAL REQUIREMENTS

* Bachelor’s degree in computer science, Software Engineering, Information Technology, or a related field

* Internship, academic project, hackathon, or personal project experience is a plus

Technical Skills

* Basic understanding of programming concepts, object-oriented programming, and data structures

* Familiarity with Java and/or TypeScript/JavaScript

* Understanding of web application fundamentals and HTTP protocols

* Basic knowledge of Git and version control systems

* Familiarity with frontend frameworks such as React is an advantage

* Exposure to backend frameworks such as Spring Boot is a plus

* Understanding of databases and APIs

* Interest in cloud-native technologies and containerization concepts

* Basic understanding of Linux commands and shell scripting

* Strong debugging and problem-solving mindset

* Willingness to learn modern development practices such as CI/CD, Kubernetes, and event-driven systems

· Master's or Bachelor’s degree in Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies) faculties.

·        Candidates should have a minimum of 2 years' experience in relevant activities.

· Good knowledge in UNIX platform and database management systems( SQL, Oracle, Sybase, Big Data...)

· Experience with automation frameworks and libraries.

· Proficiency in scripting languages (Python, Shell script, PowerShell, SQL…)

·        Valuable exposure to tools & technologies like Elastic Search, Grafana, Prometheus, Kibana, Control-M, KAFKA, Confluence, Jira, Gitlab, MQ Series

· Knowledge of Cloud platforms and services

· Experience in DevOps tooling (GIT, Maven/Gradle/NuGet/Ansible, Jenkins, Sonar…)

· Experience with Docker / Kubernetes

· Database: Oracle, Sybase.

· Developing microservices.

· Familiarity with AI-powered development tools (e.g., GitHub Copilot) and willingness tolearn best practices for their effective use

· Basic understanding of AI/ML concepts and eagerness to develop skills in promptengineering and responsible AI usage

·        Ability to critically review AI-generated code and outputs with guidance from seniorteam members

·        Interest in exploring how AI tools can improve development workflows and problem-solving approaches

JOB SUMMARY:

We're looking for a Data Engineer with strong software engineering fundamentals to build and scale our data infrastructure. You'll design high-performance systems that handle massive data volumes and high-concurrency workloads, optimize query engines for speed and reliability, and architect robust data pipelines. This role is for engineers who love solving distributed systems challenges and building production-grade infrastructure that processes terabytes of data daily.

This role is open to fresh graduates and early-career professionals (1–2 years of experience) who are eager to grow their skills in building scalable data systems.

Whether you’re just starting out or already have some experience, this is a great opportunity to develop your data engineering skills and contribute to impactful, data-driven decision-making.

KEY RESPONSIBILITIES:

• Design, develop and maintain data infrastructures, such as computation, query engine and services which can support massive data and high concurrency requests
• Clean, transform, and optimize raw data for storage and analysis
• Work with structured and unstructured data from various sources (databases, APIs, files, etc.)
• Plan data warehouse structure to ensure data quality, accuracy, consistency, and availability
• Optimise for the performance of the data pipeline and service to downstream
• Collaborate with business analysts, data scientists, and backend teams to provide appropriate tools
• Document data models, processes, and technical decisions

What You'll Learn:

• Real-world data engineering with modern tools like Apache Spark/Flink, Kafka, Airflow
• Working with SQL/NoSQL databases, data lakes, and cloud platforms (AWS, GCP, Azure)
• Building batch and streaming data pipelines
• Data modeling, warehousing
• Orchestration and monitoring of data workflows
• Developing high availability services
• Best practices in data governance, privacy, and security
• Collaboration in agile, cross-functional teams with product, engineering, and analytics

JOB REQUIREMENTS: