As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their Google Cloud journey. You will be expected to work a large spectrum of technology and tools, including public cloud platforms, AI and LLMs, Kubernetes, data processing systems, databases, and more.

Note: This will be a short-term contract. No expectation set that this will transition into a full time role

What you will do...

Working with our clients to understand their requirements and technical challenges. Using this input you will develop a technical design for a solution and communicate the value of your solution to the client team.
You will work to develop delivery estimates and an estimated project plan.
You will act as the lead technical member of the implementation project team. You are responsible for making the key technical and keeping delivery on track. You should be able to unblock when things are stuck.
Utilize a broad range of technologies such as Kubernetes, AI, and Large Language Models (LLMs), to develop scalable and efficient cloud applications.
Stay abreast of industry trends and new technologies to drive continuous improvement in cloud solutions and practices.
Work closely with cross-functional teams to deliver end-to-end cloud solutions, from conceptualization to deployment and maintenance.
Engage in problem-solving and troubleshooting to address complex technical challenges in a cloud environment.

What we need...

5+ years of experience working in a Software Engineering capacity
Excellent knowledge and experience with Python, and preferably additional languages such as Go
Strong critical thinking skills, and a bias towards problem solving
Familiarity with implementing microservice architectures
Fundamental skills with Kubernetes. You should be familiar with packaging and deploying your applications to k8s
Experience building applications that work with data, databases, and other parts of the data ecosystem is preferred
Familiarity with Generative AI workflows, frameworks like Langchain, and experience with Streamlit are all highly desirable, but at a minimum you should have a willingness to learn
Experience deploying production workloads on the public cloud - either GCP or AWS
Experience using CI/CD tools such as GitHub Actions, GitLab, etc
Able to work with new tools and technologies where you may not have prior experience
Comfortable with being on video in meetings internally and with clients
Strong English communications skills

Software Engineer (Short Term Contract)

LATAM

Remote

Mid-level

Zencore