Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 3900+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.

We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

As a DevOps Architect, you   will be responsible for supporting the DevOps capability and managing small   teams of DevOps engineers. In doing so, you will closely collaborate with   program leads, technology architects, and data scientists across global   locations.

More   specifically, you might:

· Engage with clients to understand their business   context.

· Estimate Cloud   Platform automation and DevOps activities and build proposals.

· Plan and   perform Infrastructure automation, Build, Deploy, and Release automation on   various Cloud platforms.

· Lead the design   and configure the DevSecOps pipeline for various projects.

· Define,   articulate, and evangelize Cloud Platform Automation activities.

· Ideate with your peers. Being supportive of their   work and providing constructive feedback on their solutions.

· Serve as a   thought leader and SME for DevOps industry trends, new and existing   technology offerings, and architectural concepts.

· Translate business problems and technical   constraints into technical requirements for the desired analytics solution.

· 10+ years of   experience

· Solid experience   in designing and hands-on development in cloud-based analytics solutions.

· Keen interest   in working on Azure Data Factory, Azure Synapse, Azure Spark, Azure SQL,   Azure Data Lake, and Azure App Service is required.

· Ability to design   and building of data pipelines for both structured and unstructured data.

· Deep   understanding of Dev-Ops processes (including CI/CD) and Infrastructure by performing effective code reviews.

· Enjoys working   in common data warehouse modeling principles.

· Working   knowledge of Python, SQL is desirable.

· DevOps   experience using GitHub, GitHub Actions, GitHub Workflows SonarQube,   Terraform, Docker, Kubernetes

· Deep   understanding of deploying the React, Python, and Terraform based application   using CI/CD pipeline built on GitHub Actions.

· Awareness and   importance of using big data technologies like Azure Data Factory (ADF),   ADLS, Databricks, Azure Synapse Analytics, Event Hub & Streaming   Analytics, Cosmos DB.

● Latest Technology:  You will get to work on the most advanced technologies like machine learning and artificial intelligence.

● Global Exposure:  We work for leading global brands. You will get exposure to global markets while working with international clients.

● Learning & Development: We partner with a host of the biggest learning platforms. You will be encouraged to learn and grow.

● Growth Mindset: We encourage a growth mindset and believe that learning never stops. There is no pressure on you to be a master of everything. With this attitude, we can make significant progress in areas that we know very little about today. Here, you’ll work with people with a collective passion to explore the limitless potential of data to solve complex problems.

● Additional Benefits: Health insurance (self & family), virtual wellness platform, fun, and knowledge communities.

We believe in equal opportunities for all and invite you to come join   us as we build the world’s best AI and advanced analytics team. Our   compensation packages are competitive and among the best in the industry.   Your designation will be commensurate with expertise and experience.

Azure, , Python, Terraform, CI/CD, Azure Data Factory