Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole.

Having secured over $60mil in funding, we are embarking on a period of rapid growth.

The Challenge

Ingesting data from multiple external vastly different sources at hundreds of rich data points per second, moving terabytes of data while processing it in real-time, running complex and complicated prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires a highly reliable, stable, fault-tolerant infrastructure that can withstand multiple and varied uses and abuses by data analysts, data scientists, industry experts, and the end-users. Fast product iteration cycles necessitate the platform which allows engineers to deploy frequently, independently, and without in-depth knowledge of infrastructure complexities.

The Data Services Team is responsible for the developer platform, and the impressive Amazon AWS estate Vortexa uses to achieve its purpose. This includes two major areas of concern: infrastructure availability, security and costs, as well as developer experience. We use a wide variety of technologies like Kubernetes, Golang, Kafka, Opensearch, Airflow, Athena, and others.

You will be a key member of the small, globally distributed team, instrumental in assessing current technologies, delivering the best possible engineering experience with the shortest development iterations, helping crystallise, converge and standardise technology stacks and implementing the infrastructure roadmap, ensuring 100% uptime, availability, and fault-tolerance of every component of the platform, while optimising AWS costs. You will provide your customers such as data analysts, data scientists, and other engineers with a delightful developer experience tooling boosting their productivity, and allowing them to concentrate on business logic. You will codify and automate any operational knowledge gathered so that R&D can focus purely on creating value for our customers.

You will look after multiple mature CI/CD pipelines and ensure they grow and adapt to the infrastructure. Your customers would be data analysts, data scientists, and other engineers and industry experts from across the company.

You Are:

• Determined to create infrastructure that gets out of the way with a great developer experience
• Excellent at troubleshooting unfamiliar code.
• Striving to be more skilled than Google with Kubernetes
• An AWS power user and evangelist
• Familiar with Apache Kafka and Kafka Streams – deployment, monitoring, resiliency, fault-tolerance, cluster planning and operations, applications debugging
• Experienced with ElasticSearch operations and usage
• Fluent in Terraform, and Go
• Familiar with cloud-native application design and deployment
• Not afraid of challenges and infrastructure troubleshooting
• A “can-do” person – “I’ve done my bit” has no place at Vortexa

Awesome if you:

• Are familiar with Airflow or other workflow orchestration tools
• Understand data lakes like Parquet, Orc, Athena

We Are:

• Stock-options in a fast-growing, high-potential business
• An open, collaborative, and supportive working culture built on merit, which celebrates creative thinking and “getting things done.”
• The opportunity to work with AI-driven technology in a scale-up environment with commodity trading experts
• Private Health Insurance offered via AXA
• A flexible working policy- accommodating both remote & home working, with regular staff events
• Global Volunteering Policy to help you ‘do good’ and feel better

Company’s Profile
Julian Grey's client specialises in offering digital transformation solutions, assisting their clients to break through into the digital space with cutting-edge technology in Cloud, DevOps, Cyber Security & Analytics.

Work location: Commonwealth
Working hours: Mon – Fri, 9am – 6pm

Responsibilities:
1. Network Design and Implementation: Design and set up networks that meet business needs, ensuring they are scalable, highly available, and secure.

2. Network Configuration: Set up and maintain network equipment like routers, switches, firewalls, and load balancers. Keep them updated and secure.

3. Network Monitoring: Use tools to detect and fix network issues, ensuring good performance.

4. Security: Implement and manage network security measures, including firewalls, intrusion detection systems, and access controls, with a focus on security from the start.

5. Troubleshooting: Investigate and fix network problems like connectivity issues, routing, and performance.

6. Documentation: Keep network records up-to-date, including diagrams and configurations.

7. Network Optimization: Continuously improve network performance and efficiency, making changes to enhance reliability and speed.

8. Collaboration: Work closely with IT teams and departments to align network needs with business goals.

9. Vendor Management: Collaborate with network service providers and vendors to resolve issues and improve network services.

10. Capacity Planning: Assess network capacity needs and plan for future growth, recommending necessary upgrades.

Qualifications:

• 2-5 years of professional network engineering experience.
• Knowledge of networking protocols and technologies like TCP/IP, VLANs, BGP, VPNs, and routing/switching.
• Experience with network equipment from vendors like Cisco, Fortinet, or Palo Alto.
• Understanding of network security best practices and tools.
• Strong problem-solving skills and ability to work under pressure.
• Additional certifications like CCNA or CCNP are a plus

Follow us for more updates, interview tips! https://www.instagram.com/juliangreygroup/ https://www.linkedin.com/company/juliangreygroup/ https://www.facebook.com/juliangreygroup/ Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Company’s Profile

Julian Grey’s client is a Singapore based solution provider for high quality IT security products to value add to their MNC clients & channel partners and has been in the market for more than 2 decades.

Location: Central

Benefits

AWS and performance bonus

Annual salary increment (subject to performance evaluation)

Medical and Dental

Responsibilities:

Provide on-site support for first-level end-user operations, understanding and managing complex technical issues in a dynamic business environment.
Proficient in managing, configuring, and upgrading Windows 10 & 11 client images

Conduct root-cause analysis and recommend solutions within SLA

Perform application testing before rolling out OS updates (Monthly basis)

Identify process gaps and implement continuous improvements

Possess strong knowledge of Windows features, registry editor, and hardening

Proficient in Command Prompt and PowerShell

Requirements:

Min. Diploma in Computer Science, Computer Engineering, Information Technology, or a related field.

At least 2 years of relevant experience.

Hands-on experience in building, testing, and implementing desktop images

Technical proficiency and a keen interest in exploring new technologies

Practitioner in ITIL Framework

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About TnS-Live-Algo Team

Our algorithm team is responsible for developing state-of-the-art computer vision and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok Livestream is able to provide the best user experience and bring joy to everyone in the world.

Job Description

We are looking for a highly self-motivated research engineer to join our algo team in Singapore. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok Livestream, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow

Responsibilities

- Develop computer vision model or multimodality model to recognize violation content in TikTok Livestream

- Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)

- Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc

- Continuously optimize the training framework to better adapt to the training of large models

Qualifications

1. Major in computer science or a related technical discipline

2. At least 3 years of experience in at least one of the following areas: computer vision, multimodality, LLM

3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)

4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

5. Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.