Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related technical field, and have at least 7 years of experience in Site Reliability Engineering, with a strong focus on large-scale distributed systems. Demonstrated experience with cloud platforms such as AWS, Azure, or GCP is essential, along with proficiency in scripting languages like Python or Go.
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have a minimum of 5 years of experience in software development with a strong focus on backend systems. They should demonstrate proficiency in designing and implementing modern data infrastructure architectures, including data fabric, data mesh, and data virtualization technologies.
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and a minimum of two and a half years of experience in software development with a strong focus on backend systems. Strong experience in designing and implementing scalable, high-performance systems is also required.
Candidates should possess 3+ years of experience in SRE, DevOps, or production engineering, with expertise in Infrastructure as Code (IaC) using Terraform, and experience in building continuous integration declarative pipelines in Jenkins or CircleCI. They should also have experience with platforms like Kubernetes, Containers, and public clouds (GCP or AWS), along with proficiency in Python or Go programming language and a strong understanding of SRE best practices and observability principles. …
Candidates should have a Bachelor’s degree and 3-5 years of outside B2B enterprise software sales experience, along with 2+ years of AdTech/MarTech industry experience selling digital marketing, business intelligence, analytics, or data platform solutions. A validated track record of exceeding expectations value selling a suite of solutions is preferred.
Candidates should possess a Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and have at least 5 years of experience in data analytics and insights engineering. Strong proficiency in SQL and data modeling techniques is required, along with experience working with cloud-based data warehouses like BigQuery. Familiarity with tools like dbt, Atlan, Vertex AI, and Tableau is also expected.
Candidates should possess 5+ years of experience in SRE, DevOps, or production engineering, with experience in Infrastructure as Code (IaC) using Terraform, and experience with continuous integration declarative pipelines in Jenkins and ArgoCD. They should also have experience with platforms like Kubernetes, Containers, and public clouds (GCP or Azure), along with hands-on experience on FinOps and autoscaling Kubernetes clusters. Furthermore, candidates are expected to have experience with Pytho…