Castleton Commodities International, LLC

Castleton Commodities International, LLC is offering a Data Science & Technology Internship in our London office. The role focuses on building and optimizing data pipelines that power analytics, forecasting, and investment decisions in a hands-on setting. You will work with Data Science, Data Engineering and Commercial teams to ingest, transform, and manage large commodity datasets, applying Python and SQL to maintain robust pipelines and data quality.

Program Summary - Data Science & Technology Internship Application Deadline: September 1st, 11:59pm EST Company Overview Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in and develop select commodity infrastructure assets. Our strategically integrated platform has generated strong risk adjusted returns for our investors since its formation. Position Overview CCI is developing a leading edge analytics platform, and staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our London office. This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You will collaborate closely with other Software Engineers, Data Scientists, and commercial end users, contributing to our front office platform through hands on development projects using Python, cloud technologies (AWS), APIs, and Snowflake. Responsibilities Contribute to the development of front office software tools that support real time trading, market data analytics, and visualization. Work with the commercial trading team to optimize and re engineer pricing models, decision tools, and trading workflows. Build and enhance Python based microservices and APIs for internal data access and operations automation. Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics. Participate in cloud native application development using AWS services, including Kubernetes and Kafka. Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines). Collaborate with the Data Science team to help integrate ML driven analytics into front office workflows. Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Management Information Systems, or related technical field of study. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Familiarity with version control tools (e.g., Git) and software development best practices. Strong problem solving abilities and an eagerness to learn about financial markets and trading systems. Excellent communication skills and ability to work in a fast paced, collaborative environment.

Application Deadline September 1st, 11:59m EST Program Summary Data Science & Technology Internship Company Overview Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk adjusted returns for our investors since our formation. Position Overview CCI is developing a leading edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail oriented Data Engineering Interns to join our Global Data Science & Technology team in our London office. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision making processes. This is a hands on technical internship ideal for someone who enjoys solving real world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets. Responsibilities Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers. Develop data ingestion and transformation pipelines using Python and SQL, publishing in Snowflake for downstream use in analytics and forecasting tools. Work on data architecture and data management projects for both new and existing data sources. Design and implement ETL processes to clean, normalize, and store structured and semi structured data in Snowflake, our core relational data warehouse. Analyze data pipeline performance and implement optimizations to improve efficiency and reliability. Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams. Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar). Assist in transitioning legacy datasets and codebases into scalable, cloud native workflows aligned with our modern data architecture. Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer. Qualifications Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field. Expected graduation date of Winter 2027 or Spring/Summer 2028. Strong programming experience in Python (preferred libraries: pandas, NumPy, SQLAlchemy, etc.). Strong understanding of SQL and experience querying relational databases (Snowflake a plus). Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute. Familiarity with web scraping frameworks and handling large scale structured and unstructured data sources.

Associate, Front Office Software EngineerApplylocations: London, UKtime type: Full timeposted on: Posted Todayjob requisition id: R1316Castleton Commodities International () is a global leader in energy commodity trading and asset investment. Our Data Science & Technology team is central to our success, engineering the high-performance systems and innovative tools that power our commercial decision-making. We build the platforms that help our front-office teams understand market behavior, forecast price movements, and manage risk. Our team solves complex, high-impact challenges using a modern technology stack. We develop everything in cloud-native infrastructure from real-time analytics to back testing engines, third party integrations, and internal libraries, all designed to give CCI a competitive edge in the global commodities markets. This role is an opportunity to build solutions that have a direct commercial impact from day one. Responsibilities: Partner directly with traders and analysts to engineer and optimize trading processes, analytical models, and systematic strategies. Build and maintain scalable, high-performance Python services and APIs that power our analytics platform. Develop solutions to support supply and demand models, market data analysis, and strategy research. Design and implement cloud-native tools, including real-time analytics, visualization interfaces, and workflow automation, that integrate seamlessly into our Front Office platform. Qualifications: Bachelor's or Master's degree in Computer Science or a related STEM field. 0-3 years of professional software engineering experience (talented new graduates are encouraged to apply). Strong foundation in computer science fundamentals, including data structures, algorithms, and software design principles. Proficiency in Python for backend development (services, APIs, data processing). Prior experience developing front-end applications utilizing React, Angular, TypeScript is preferred. Excellent problem-solving and analytical skills with strong attention to detail. Strong communication skills, with the ability to collaborate effectively with both technical and commercial teams. Must be able to work effectively in a fast-paced, dynamic and high-intensity environment including open-floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required. Preferred Qualifications: Familiarity with cloud platforms (e.g., AWS) and data warehousing solutions (e.g., Snowflake). Experience working in a Linux/Unix environment. Knowledge of DevOps practices and CI/CD pipelines. Prior exposure to or a demonstrated interest in finance, quantitative trading, or the commodities markets. Employee Programs & Benefits: CCI offers competitive benefits and programs to support our employees, their families and local communities. These include: Competitive comprehensive medical, dental, retirement and life insurance benefits Employee assistance & wellness programs Parental and family leave policies CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities. Charitable contribution match program Tuition assistance & reimbursement Quarterly Innovation & Collaboration Awards Employee discount program, including access to fitness facilities Competitive paid time off Continued learning opportunitiesVisit to learn more!

Application Deadline September 1, 2026 at 11:59 pm EST Program Summary Data Science & Technology Internship Company Overview Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. This fully integrated platform has generated strong risk adjusted returns for our investors since our formation. Position Overview CCI is developing a leading edge Data Science platform, and a strong focus on data management and analytics is essential to our investment strategy. We are looking for a motivated and detail oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting, to join our Global Data Science team in our London office. The internship offers a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. The intern will analyze time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression based approaches. Assist in designing and implementing end to end data ingestion processes, ensuring seamless data flow to investing teams. Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis. Contribute to identifying and back testing new data sets, leveraging machine learning techniques to drive insights. Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence. Qualifications Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science, or a related technical field with a focus in Machine Learning. Expected graduation date of Winter 2027 or Spring/Summer 2028. Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Ability to communicate and interact with a wide range of users, from highly technical to non technical backgrounds. Strong analytical skills with demonstrated attention to detail.

Application Deadline September 1, 2026 at 11:59 pm EST Program Summary Data Science & Technology Internship Company Overview Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. This fully integrated platform has generated strong risk adjusted returns for our investors since our formation. Position Overview CCI is developing a leading edge Data Science platform, and a strong focus on data management and analytics is essential to our investment strategy. We are looking for a motivated and detail oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting, to join our Global Data Science team in our London office. The internship offers a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. The intern will analyze time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression based approaches. Assist in designing and implementing end to end data ingestion processes, ensuring seamless data flow to investing teams. Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis. Contribute to identifying and back testing new data sets, leveraging machine learning techniques to drive insights. Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence. Qualifications Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science, or a related technical field with a focus in Machine Learning. Expected graduation date of Winter 2027 or Spring/Summer 2028. Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Ability to communicate and interact with a wide range of users, from highly technical to non technical backgrounds. Strong analytical skills with demonstrated attention to detail.

Castleton Commodities International, LLC is seeking an Applied AI Engineer to join the Global Data Science team and drive adoption of enterprise AI tooling. You will design AI context, configure tools, and enable stakeholders to use AI safely and effectively. You will collaborate with traders and technologists to turn business needs into reliable, reusable AI-enabled workflows, with strong emphasis on governance, documentation, and knowledge bases.

Job Overview We are seeking a talented and detail oriented Applied AI Engineer to join our Global Data Science team and help internal technology and commercial teams adopt CCI's approved AI tooling effectively. The ideal candidate will combine technical fluency, strong communication skills, and practical experience using AI to improve real business workflows. This role will focus on context engineering, AI tooling configuration, assistant and knowledge base setup, workflow discovery, evaluation, documentation, and stakeholder enablement. The analyst will work hands on with CCI's GenAI platform and approved enterprise AI tools to translate business needs into reliable, governed, and reusable AI enabled solutions. Key Responsibilities Partner with traders, analysts, operators, technologists, and business stakeholders to identify workflows where AI can reduce manual effort, improve quality, or accelerate analysis. Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP enabled tools. Design and maintain high quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails, and output formats. Support RAG and document intelligence workflows, including document ingestion, chunking, metadata design, retrieval quality, structured extraction, and validation with subject matter experts. Evaluate AI outputs for accuracy, groundedness, completeness, formatting, usability, and business value; use feedback and test cases to improve configurations over time. Create reusable playbooks, templates, demos, and reference materials that help technology and commercial teams use AI safely and effectively. Communicate AI capabilities, limitations, risks, and recommended usage patterns clearly to both technical and non technical stakeholders. Stay current on practical advancements in applied AI, context engineering, enterprise copilots, agentic workflows, RAG, and AI evaluation methods. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, Economics, Mathematics, or a related technical or quantitative field. 2+ years of experience in data analytics, business analysis, technology enablement, AI implementation, automation, systems configuration, or a related role. Strong practical experience using generative AI tools to improve analysis, documentation, coding, research, workflow automation, or business productivity. Working knowledge of LLM concepts, including prompting, context windows, retrieval, hallucination risk, structured outputs, model selection, and evaluation tradeoffs. Familiarity with applied AI patterns such as RAG, embeddings, vector search, document extraction, tool calling, agentic workflows, and human in the loop review. Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc. Ability to work with APIs, JSON, MCPs, Git or version controlled artifacts, and lightweight automation or prototyping workflows. Excellent written and verbal communication skills, with the ability to translate business needs into technical requirements and explain AI concepts in plain language. Strong problem solving skills, curiosity, attention to detail, and ability to work independently while collaborating across commercial, technology, and control functions. Understanding of responsible AI and Software practices, including data sensitivity, access control, auditability, and appropriate escalation of higher risk use cases. Proven ability to work effectively in a fast paced, dynamic, and high intensity environment with timely responsiveness and flexibility to work beyond normal business hours when required. Preferred Qualifications Prior experience in commodities, energy, trading, logistics, asset operations, market analytics, or commercial decision support workflows. Hands on familiarity with enterprise AI tools such as Claude, ChatGPT/OpenAI, Gemini, Microsoft 365 Copilot, Cursor, or GitHub Copilot. Exposure to Snowflake, vector databases, knowledge base configuration, and cloud platforms such as AWS or Azure. Portfolio examples showing practical AI use: an agent, workflow automation, prompt/context library, RAG prototype, document extraction workflow, evaluation framework, or AI enabled business process improvement. Benefits Competitive comprehensive medical, dental, retirement and life insurance benefits. Employee assistance & wellness programs. Parental and family leave policies. CCI in the Community: Each office has a Charity Committee and employees are allocated 2 days annually to volunteer at selected charities. Charitable contribution match program. Tuition assistance & reimbursement. Quarterly Innovation & Collaboration Awards. Employee discount program, including access to fitness facilities. Competitive paid time off. Continued learning opportunities.

Castleton Commodities International, LLC is seeking a Data Engineer in Greater London to help implement new data management platforms and create new data ingestion pipelines. The role involves collaborating with commercial teams to enhance the data architecture and manage extensive data flow, offering a chance to work in a dynamic trading environment. Qualified candidates will have a degree in Computer Science and at least 3 years of relevant experience with skills in SQL and data engineering. The company offers comprehensive medical and wellness programs, parental leave, and competitive paid time off.

At Castleton Commodities International (CCI), we are redefining how data and technology shape the future of energy trading. Our Data Science & Technology team is at the forefront of this transformation, developing systems and innovative tools that empower our front office teams to better understand market dynamics, forecast prices, and manage risk. Our commitment to excellence is reflected in a robust, modern, open source technology stack, empowering us to solve complex, high impact challenges at scale. From cloud native infrastructure to machine learning platforms, real time analytics, and proprietary libraries and APIs, we are passionate about using technology to drive innovation and create a competitive edge in global energy commodity trading and investing. Candidates will gain direct exposure to our commercial investment teams, offering a unique opportunity to see how cutting edge technology drives strategy and performance in energy markets. The Data Engineering team is integral to our mission, ensuring the seamless ingestion and management of data across our platforms. The Data Engineer will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data - from data architecture design to on going data management and will have significant exposure to our Commercial investing teams globally. This position will play an integral role as the firm continues to expand its use of data for advanced analytics and other commercial purposes. Responsibilities Execute data architecture and data management projects for both new and existing data sources. Help transition existing data sets, databases, and code to a new technology stack. Manage end to end data ingestion process and publishing to investing teams. Own the process of mapping, standardizing, and normalizing data. Conduct ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, and vendors. Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data. Actively manage vendors and capture changes in data input proactively. Properly prioritize and resolve data issues based on business usage. Assist with managing strategic initiatives around big data projects for the commercial (trading) business. Partner with commercial teams to gain understanding of current data flow, data architecture, investment process and gather functional requirements. Assess gaps in current datasets and remediate. Qualifications Bachelor's degree in Computer Science, Mathematics, Physics, Business Intelligence, or a related field of study. 3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling. Experience in energy commodities or financial services is nice to have but not required. Experience in mapping, standardizing, and normalizing data. Experience with ETL/ELT frameworks to write pipelines to load millions/billions of records. Advanced skills in writing highly optimized SQL code. Experience with relational databases; Snowflake highly preferred. Hands on experience developing data solutions in Python, Pandas, NumPy, etc. Ability to communicate and interact with a wide range of data users - from very technical to non technical. Team player who is execution focused, with the ability to handle a rapidly changing set of projects and priorities while maintaining a strong professional presence. Ability to work effectively in a fast paced, dynamic and high intensity environment, including an open floor plan, with timely responsiveness and the ability to work beyond normal business hours when required. Employee Programs & Benefits Competitive comprehensive medical, dental, retirement and life insurance benefits. Employee assistance & wellness programs. Parental and family leave policies. Charitable contribution match program. Tuition assistance & reimbursement. Quarterly Innovation & Collaboration Awards. Employee discount program, including access to fitness facilities. Competitive paid time off. Continued learning opportunities.

Castleton Commodities International (CCI) is hiring a Senior ETRM Application Developer to expand our Commodities Trading Application Development team. This role sits at the center of our end-to-end trading lifecycle and is responsible for building and enhancing the applications and integrations that support front-to-back commodities trading, from exchange connectivity and trade capture through Confirmations, Scheduling, P&L, Risk, & Settlements. Work across a distributed application landscape and partner closely with Trading, Risk, Operations, and Technology teams to deliver scalable solutions with strong data quality, resiliency, observability, and control. Responsibilities Design, develop, and support applications and services across the end-to-end commodities trade lifecycle. Build and enhance integrations between ETRM platforms and systems utilizing Java & Oracle. Develop and maintain robust data pipelines including mapping, transformations, validations, and exception handling to ensure accuracy and completeness. Partner with Trading, Risk, Scheduling, Settlements, and Accounting stakeholders to translate requirements into technical designs and deliverables. Own production support for assigned systems, including incident response, root cause analysis, and implementation of permanent fixes. Improve operational resiliency through monitoring, alerting, automated controls, reconciliation routines, and reprocessing capabilities. Contribute to architecture and design decisions with a focus on performance, maintainability, testability, and security. Participate in code reviews and mentor engineers by promoting strong engineering standards and reusable design patterns. Drive modern SDLC practices including version control discipline, automated testing, CI/CD, and release management. Coordinate and lead work delivered by offshore development teams, including planning, task delegation, and quality oversight. Qualifications Bachelor's Degree in any relevant discipline such as Mathematics, Computer Science, or Engineering. 10+ years of experience successfully delivering ETRM development and support in a commodity trading company. Experience working with a US based management team and global development team with offshore development. Proven ability to directly interface with business users on the entire SDLC. Significant experience in Triple Point (TPT) CommodityXL (CXL) or similar full scale ETRM system. Experience interfacing with commodity exchanges (ICE, CME, NYMEX). Working knowledge in cloud platforms such as AWS and Azure. Ability to work effectively in a fast-paced, dynamic and high-intensity environment, including an open-floor plan, with timely responsiveness and the ability to work beyond normal business hours when required. Technical Skills Python, Kafka, Java (J2EE), JavaScript, Spring Framework, SQL (AWS Redshift, Oracle, Sybase, DB2), Oracle PL/SQL, Rest API, Angular or React, Scripting (Windows, Linux), IBM MQ, TIBCO, JMS. Employee Programs & Benefits Competitive comprehensive medical, dental, retirement and life insurance benefits. Employee assistance & wellness programs. Parental and family leave policies. Charitable contribution match program and annual volunteer days (2 days per year to selected charities). Tuition assistance & reimbursement. Quarterly Innovation & Collaboration Awards. Employee discount program, including access to fitness facilities. Competitive paid time off. Continued learning opportunities.

Castleton Commodities International (CCI) is hiring a Lead ETRM Solutions Architect to expand our Commodities Trading Technology team. This role sits at the center of our end to end trading lifecycle and is responsible for defining, architecting, and evolving the applications and integrations that support front to back commodities trading, from exchange connectivity and trade capture through Confirmations, Scheduling, P&L, Risk, and Settlements. Responsibilities Define and own the architecture for applications and services across the end to end commodities trade lifecycle. Lead the design of integrations between ETRM platforms and surrounding systems, establishing scalable patterns and standards utilizing technologies such as Java, messaging frameworks, and enterprise data platforms. Architect robust data flows and integration frameworks, including mapping, transformations, validations, and exception handling, ensuring data accuracy, lineage, and control. Partner with Trading, Risk, Scheduling, Settlements, and Accounting stakeholders to translate business strategy and requirements into scalable, future state technical architectures and roadmaps. Provide architectural oversight for production platforms, guiding incident response, root cause analysis, and the implementation of long term, systemic solutions. Establish and drive best practices for operational resiliency, including monitoring, alerting, automated controls, reconciliation frameworks, and reprocessing capabilities. Govern architecture decisions with a focus on performance, scalability, maintainability, security, and cost efficiency. Lead design reviews and provide technical direction to engineering teams, promoting strong engineering standards, reusable patterns, and consistent integration approaches. Drive adoption of modern SDLC and platform engineering practices, including CI/CD, automated testing, environment strategy, and release governance. Oversee and coordinate delivery across global and offshore development teams, ensuring alignment to architecture standards and high quality execution. Qualifications Bachelor's Degree in Mathematics, Computer Science, Engineering, or a related discipline. 10+ years of experience delivering ETRM solutions and architecture within a commodity trading environment. Proven experience leading architecture for complex, front to back trading ecosystems, including integration across multiple platforms and business domains. Strong experience working with US based leadership and global, distributed engineering teams, including offshore delivery models. Demonstrated ability to engage senior business stakeholders and translate strategic objectives into technical architecture and execution roadmaps. Experience with full scale ETRM platforms. Triple Point (TPT) CommodityXL (CXL) is a plus. Experience integrating with commodity exchanges (ICE, CME, NYMEX). Working knowledge of cloud platforms such as AWS and Azure, including architecture patterns and migration strategies. Ability to operate effectively in a fast paced, dynamic, and high intensity environment, with strong ownership and responsiveness. Technical Expertise Architecture and design of distributed systems and integration frameworks Event driven and messaging architectures (Kafka, IBM MQ, TIBCO, JMS) Java and enterprise application frameworks (J2EE, Spring) Data platforms and databases (Oracle, AWS Redshift, PL/SQL) API design and integration (RESTful services) Cloud architecture (AWS, Azure) Modern front end frameworks (Angular or React) - Awareness Level Scripting and automation (Windows, Linux, Python) Employee Programs & Benefits Competitive comprehensive medical, dental, retirement, and life insurance benefits Employee assistance & wellness programs Parental and family leave policies CCI in the Community: each office has a Charity Committee and employees are allocated 2 days annually to volunteer at selected charities Charitable contribution match program Tuition assistance & reimbursement Quarterly Innovation & Collaboration Awards Employee discount program, including access to fitness facilities Competitive paid time off Continued learning opportunities

Castleton Commodities International, LLC is seeking a Lead ETRM Solutions Architect to enhance our Commodities Trading Technology team. In this role, you will define and architect solutions that support the full commodities trading lifecycle. Ideal candidates will have a Bachelor's degree, over 10 years of ETRM experience, and the ability to lead architecture in a dynamic environment. We offer a range of employee benefits and opportunities for continued learning.

Castleton Commodities International, LLC is looking for a Senior ETRM Application Developer. You will be responsible for building and enhancing applications that support the entire commodities trading lifecycle. The role involves designing services, data pipelines, and implementing production support for trading applications. The ideal candidate will have over 10 years of ETRM development experience, exceptional skills in Java and cloud platforms, and a Bachelor's degree in a relevant field. This position offers competitive medical, dental, and retirement benefits along with various employee programs.