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Digital Twin Developer (Unreal Engine/Unity/Omniverse)
We are seeking a talented and experienced Digital Twin Developer proficient in Unreal Engine, Unity, and Omniverse to join our dynamic team. In this role, you will utilize your video game development skills to create immersive and functional Digital Twin applications, bringing real-world environments to life in digital format.
Key Responsibilities
- Develop and maintain Digital Twin applications using Unreal Engine and Unity.
- Collaborate with cross-functional teams to design, implement, and test interactive 3D environments.
- Integrate real-time data sources into Digital Twin models to enhance accuracy and functionality.
- Optimize and refine Digital Twin applications for performance and user experience.
- Stay up-to-date with the latest Unreal Engine, Unity, and Digital Twin technologies advancements.
- Provide technical support and troubleshooting for Digital Twin applications.
Qualifications
- Proven experience in Unreal Engine and/or Unity development.
- Strong understanding of 3D modeling, animation, and simulation techniques.
- Experience with real-time data integration and visualization.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
- Knowledge of Digital Twin concepts and applications is a plus.
- A degree in Computer Science, Game Development, or a related field is preferred.
English
- B2 (Upper-Intermediate)
Type of work
- Remote, full-time.
If you are passionate about leveraging video game development skills for real-world applications and want to be part of a forward-thinking company, we would love to hear from you! Please submit your resume and portfolio showcasing your work.
Senior SRE
We seek a Senior SRE engineer to join a team that works on a complex distributed architecture spanning physical machines and virtualizing on-prem hosts and cloud computing.
The role is to help set up centralized DevOps and help existing teams adopt more centralized best practices. The ideal candidate will be able to manage complexity and tackle problems across multiple stack layers as a part of a small team championing operational excellence.
Our environment is relaxed yet intellectually intense. Our teams are lean and agile, which means rapid product prototyping with immediate user feedback. We seek people who think in code, aspire to solve undiscovered computer science challenges, and are motivated by being around like-minded people. In fact, of the 600 employees globally, approximately 500 code daily.
Project Description
The customer develops and deploys systematic financial strategies across asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform, employing financial strategies to exploit market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies, which are the foundation of a sustainable, global investment platform.
Key Responsibilities
- Architecture and Automation: Design and deploy As-A-Service solutions using open-source software to automate system management, scaling, and monitoring.
- System Optimization: Develop tools to streamline deployment, monitoring, and incident management for large-scale, distributed environments.
- Collaboration Across Teams: Work with development and operations teams to design and implement software solutions that enhance service reliability. Contribute to the ongoing DevOps and Agile transformation.
- Monitoring & Incident Response: Set up, configure, and maintain monitoring and alerting systems to ensure real-time visibility into system performance. Participate in on-call rotations to respond to incidents and mitigate downtime.
- CI/CD & Infrastructure Management: Continuously improve CI/CD pipelines using tools like GitLab, Helm, Terraform, and Ansible to ensure fast, safe, and reliable deployments.
- Container Orchestration: Leverage container orchestration platforms like Kubernetes (K8S) to manage distributed systems at scale. Experience with Slurm or similar cluster management is a plus.
- Cloud and Automation Tools: Use cloud infrastructure (AWS, GCP, etc.) and infrastructure-as-code (IaC) tools to automate resource provisioning and scaling.
Key Skills and Requirements
- Linux Systems: Deep expertise and hands-on experience working with Linux-based systems, focusing on optimization and troubleshooting.
- Python Proficiency: Strong skills in Python for scripting, automation, and system management.
- Containerization & Orchestration: In-depth knowledge of container orchestration technologies such as Kubernetes (K8S). Experience with other cluster management tools like Slurm is a plus.
- Infrastructure as Code (IaC): Hands-on experience with tools like Helm, Terraform, and Ansible to manage infrastructure scalable and automatedly.
- Container Technologies: Strong working knowledge of Docker, Podman, or other containerization systems to enable efficient and consistent deployment.
- CI/CD Pipelines: Experience working with CI/CD tools, especially GitLab (preferred), GitHub, or Git, to ensure smooth and rapid delivery cycles.
- Monitoring & Logging: Experience with monitoring and logging solutions such as Prometheus, Grafana, and the ELK stack to provide comprehensive insights into system performance and health.
- Relational Databases: Understanding relational databases, their performance tuning, and management in distributed systems.
- Agile Development: Familiarity with Agile development methodologies, focusing on continuous improvement and collaboration.
- Cloud Experience: Exposure to cloud technologies such as AWS or Google Cloud (GCP) is a strong plus.
- Collaboration & Communication: A team-first attitude with excellent verbal and written communication skills in English, able to work collaboratively with peers across the organization.
English
- B2 (Upper-Intermediate)
Type of work
- Hybrid, full-time.
Time zone
- ES Time zone.
System Engineer
Our client is a large international investment fund. They focus on using data and technology to find smart ways to improve financial strategies. Their goal is to create high-quality predictive signals, or ‘alphas,’ to identify market opportunities.
The company is very data-driven and innovative, with teams working closely to develop financial strategies and maintain a strong global platform. It’s a fast-paced and collaborative environment where your technical expertise can make a real impact.
This role is a mix of technical problem-solving and operational support.
Key Responsibilities
- Collaborate within cross-functional teams to improve user experience and streamline software deployment processes.
- Develop and implement software solutions using open-source and enterprise-grade tools.
- Enhance system automation and maintain robust, scalable infrastructure using Python and other automation tools.
- Provide troubleshooting support for existing products and systems, ensuring high reliability and performance.
- Integrate GitLab CI/CD processes with JIRA for seamless workflow and issue tracking across the development lifecycle.
- Optimize GitLab runners and deployment pipelines from configuration down to BareMetal infrastructure.
- Support continuous improvement by participating in Agile development processes and contributing to sprint planning, retrospectives, and daily stand-ups.
Required Qualifications
- Strong expertise in GitLab, particularly in managing CI/CD pipelines and runners down to BareMetal infrastructure.
- Proficiency in Python programming, with a focus on writing scripts for automation, testing, and troubleshooting.
- In-depth knowledge of Linux environments for managing and deploying system components.
- Experience working with JIRA and integrating it with GitLab for seamless project management.
- A solid understanding of DevOps principles, including Continuous Integration/Continuous Deployment (CI/CD) best practices.
- Excellent problem-solving skills and a proactive attitude towards learning and adapting to new tools and technologies.
- Strong communication in English to effectively collaborate with technical and non-technical stakeholders. Spanish as a plus.
- Experience in Agile development environments, with exposure to Scrum or Kanban methodologies.
English
- B2 (Upper-Intermediate)
Type of work
- Remote, full-time.
Time zone
- ES Time zone
Senior AI Platform Engineer
Tech Stack
Python, LangChain, LlamaIndex, MLflow, Svelte/SvelteKit/TypeScript, MongoDB, Qdrant, FastAPI, Kubernetes, Terraform, AWS (EKS, Lambda, S3, Bedrock, etc), Azure Cognitive Services, REST, GraphQL, OpenAI and HuggingFace APIs.
Responsibilities
- Hands on development and architecture
- Leading and coaching staff as the team grows.
- Developing framework for trustworthy agentic AI applications.
- Developing specific enterprise applications built on the framework in support of client delivery to inform platform requirements.
- Assistance in monitoring, debugging, and fixing deployed applications where platform capabilities are implicated.
- Collaborating across disciplines, including consultants, engineers, product managers and designers to identify and fill gaps and ship products.
- Improving the velocity and quality of our codebase and engineering processes.
- Helping to recruit, inspire, and develop team members with a shared vision of product and technology excellence.
Qualifications
- Preference to reason about software design from first principles over any other consideration.
- Strong programming skills with the ability to work across the full stack.
- Pragmatic and data-driven decision maker.
- Proven track record in similar roles.
- Self-motivated with a willingness to take ownership of goals and tasks.
- A passion for building and delivering quality products for other developers.
- Thrives on the pace, impact, and lack of bureaucracy of a nimble startup.
- 10+ years of industry experience.
Time Zone
- Eastern Time / UK Time
Type of work
- Remote, full-time.