Senior Software Engineer, DevOps

• Experience: With over 5 years of experience in internet technology, you will have the opportunity to work remotely as a Full-time Permanent DevOps Engineer for Gather AI. Your role will involve creating infrastructure-as-code, automating deployment and scaling of web architectures, and managing ML pipelines for AI systems. You will collaborate with internal teams and customers to identify and implement best practices for containerization, networking, and security. Additionally, you will contribute to scaling up ML pipeline packaging, ensuring reliability and observability, and increasing development velocity through modern CI/CD practices.About You:As a detail-oriented and self-directed individual, you will thrive in a dynamic environment where you can define DevOps and deployment processes for a fast-growing, AI- and robotics-centric company. Whether you have experience with large projects, standard infrastructure setups, or startups, you are ready to tackle new challenges and drive innovation. Your passion for test-driving new technologies and incorporating them securely into the organization will be instrumental in shaping the company's technological landscape.What You'll Do:- Lead or participate in technology and process initiatives within the organization- Collaborate with internal teams and customers- Implement best practices for containerization, networking, and security- Improve ML pipeline packaging for efficient workload distribution- Enhance reliability and observability through monitoring tools- Accelerate development velocity with containerization and CI/CD practices- Develop tools and automation scripts for managing ML models and datasetsRequirements:- Bachelor's degree in Computer Science/Engineering or equivalent technical experience- 5+ years of internet technology work experience- 2+ years of experience with production infrastructure-as-code technologies- Proficiency in cloud technologies and secure design principles- Familiarity with the GitHub ecosystem and modern CI/CD practices- Customer-centric mindsetNice to Have:- Extensive knowledge of cloud computing platforms such as AWS, Azure, and Google Cloud- Experience in distributed ML inference with platforms like AWS Sagemaker, GCP Vertex, Seldon, or Kubeflow- Interest in building code-to-production pipelines- Proficiency in configuring and managing Kubernetes clusters- Familiarity with ML architectures and lifecycle, especially in computer vision with deep learningCompensation And Benefits:- Flexible schedule- Unlimited paid leave- Remote work & home office stipend- Wellness benefitsHow to Apply:To apply for this opportunity, register or login on the portal, fill out the application form, clear the Video Screening, and click on "Apply" to be shortlisted. Once shortlisted, your profile will be shared with the client for the Interview round. Embrace this chance to embark on an exciting career journey with Gather AIAbout Uplers:Uplers aims to simplify and expedite the hiring process, supporting talents in finding and applying for relevant onsite opportunities to advance their careers. You will receive assistance from a dedicated Talent Success Coach throughout your engagement, ensuring a seamless experience. Explore various opportunities on the portal and seize the chance to elevate your career to new heights. Join us today and be part of an inspiring work environment where growth and development are encouraged,

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aws, python, azure devops, new relic, kubernetes, gcp, new relic, splunk, jenkins,terraform, github workflows, datadog, infrastructure as code iac, data warehousing databricks, circleci, container orchestration docker, gke, spinnaker, monitoring tools datadog, packer, devsecops, github actions

aws, python, azure devops, new relic, kubernetes, gcp, new relic, splunk, jenkins,terraform, github workflows, datadog, infrastructure as code iac, data warehousing databricks, circleci, container orchestration docker, gke, spinnaker, monitoring tools datadog, packer, devsecops, github actions