About the job
This is a remote position.
One of the clients is looking to extend its technical team by 7 Software engineers globally. This role is 100% remote.
Note: Please share your resume in English only.
We are looking for a Software Engineer who is passionate about solving large business optimization problems at scale. If you are comfortable working in a start-up environment, enjoy building a well-defined long-term architecture, and have interest in solving business problems with technology, then this could be the position for you.
Responsibilities:
One of the clients is looking to extend its technical team by 7 Software engineers globally. This role is 100% remote.
Note: Please share your resume in English only.
We are looking for a Software Engineer who is passionate about solving large business optimization problems at scale. If you are comfortable working in a start-up environment, enjoy building a well-defined long-term architecture, and have interest in solving business problems with technology, then this could be the position for you.
Responsibilities:
- Work closely with partners across departments to deliver essential planning solutions and the requisite technology to uphold them.
- Contribute to the design and implementation of future architectures for a highly scalable, durable, and low-latency capacity planning system.
- Spearheaded innovative initiatives utilising big data, machine learning (ML) techniques, and distributed systems to achieve tangible business outcomes.
- Assist in collecting and refining requirements, defining key performance indicators (KPIs), establishing priorities, and coordinating the planning of engineering deliverables.
- Great communication skills in English language both written and spoken.
- Bachelor's Degree in Computer Science or a relevant technical field, with demonstrated proficiency in programming languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent practical experience.
- Familiarity and comprehension of cloud infrastructure, with exposure to Azure or Bing being advantageous.
- Proficiency in Big Data and streaming platforms, such as Storm, Hadoop, and Cosmos, coupled with hands-on experience in machine learning.
