- You will work closely with Cloud and Infra teams to build an in house developed app to consolidate all the Observability and Error budget information based on open-source tool stack from ground up and at scale.

- You will also be responsible for revamping the automating provisioning APIs and transition from CHEF infrastructure to Ansible.

- You will work with complex architectures while solving business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices. You will lead the design and development of the most complex enhancements.

- You build multiple stable, scalable feature changes that can be successfully shipped to customers in production. Your software contributions in production are the model for highly available, low latency, and efficient software.

- You are a collaborative leader that makes other engineers and team members around you more productive by sharing your knowledge and helping to drive technical decisions. You can communicate complicated concepts simply.

- You drive best practices and set standards for your team. You are a role model for your teams. Your software contributions in production are the model for highly available, low latency, and efficient software.

- You are expected to mentor other engineers on your team.

What To Bring :

- Proven experience as a Full Stack Developer

- Experience developing desktop applications and familiarity with common stack

- 3 - 5 years of experience in multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)

- 3 to 5 years of experience in multiple back-end languages (e.g. Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)

- 8 to 5 years of experience with databases (e.g. MySQL, MongoDB), web servers (e.g. 3pache) and UI/UX design

- At least 4 years of experience working with public cloud infrastructure with Azur/AWS/GCP, including design, implementation, and maintenance of large-scale environments.

- Experience in developing instrumentation strategies to capture relevant telemetry data for comprehensive visibility.

- Experience with orchestration tools such as Airflow and Camunda.

- Experience and familiarity in Data Lake strategy, GenAI and MLOps for leveraging the same in Cloud and Infra space.

- Experience with building and implementing distributed observability solutions in Cloud and Onprem with long term storage solutions.

- Experience with container orchestration technologies such as Kubernetes or AWS EKS is strongly desired.

- Experience in working across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, implement new models, and make tradeoffs to remove roadblocks