Lead Data Platform Engineer - 11623

What You'll Do:

Manage end-to-end Data pipeline (ETL jobs) within agreed SLAs.
Manage AWS core and big data services (S3 IAM EMR Redshift etc..)
Running applications in containers (ECS Docker)
Lead Day 2 operational lifecycle for ML and GenAI infrastructure. This includes designing deploying and maintaining high-availability production LLM serving platforms implementing automated scaling self-healing and infrastructure-as-code patterns. Focus on proactive reliability model performance observability and continuous cost optimization for high-compute AI workloads.
Collaborate closely with our product development and engineering teams to create AI-driven features
Drive cloud operations consistency by automating platform maintenance standardizing infrastructure configurations (IaC) and implementing robust release management processes to minimize drift across multi-cloud environments.
Manage AWS infrastructure using code (Terraform Chef etc..)
Administering applications running in Linux operating system.
Enable application and system monitoring for better observability.
Application and infrastructure support for ETL jobs and data pipelines including participating in an on-call rotation for after-hours emergencies.
Collaborate with platform and Dev teams to plan and deploy product releases and patch Linux/ECS clusters.
Ability to participate in design reviews code reviews and troubleshooting incidents.
Ability to operate in a high-pressure environment and troubleshoot complex issues quickly while successfully handling multiple priorities.
Ability to record write and review RCAs.

What You Will Bring to Coupa:

Bachelor's Degree and at least 8+ years of experience managing Big Data technologies and Data Pipelines.
Sound knowledge and experience in Linux administration and troubleshooting.  
5+ years of experience in managing cloud infrastructure and platforms such as AWS and Azure
Familiar with the current engineering landscape in the generative AI space and have a strong interest in AI and related technologies.
Strong expertise in MLOps and production-grade LLM operations. Proven track record in managing high-availability model inference clusters automating model lifecycle management and implementing advanced observability (latency throughput and error rate monitoring) specifically for AI workloads.
Have Bash or Python scripting experience
Experience with containerization Amazon ECS EKS/ Azure AKS
Experience with tools like Chef Ansible Jenkins Rundeck or equivalent
Experience with source control systems such as Git and operating in complex branching strategies
Experience with Infrastructure as Code products like Terraform helm charts
Good understanding of DNS and Load balancers setup and troubleshooting
Experience in Big Data platforms/Data lakes and managing Business Intelligence tools (like looker..)
Knowledge in ApacheSpark architecture and troubleshooting Java applications.
Basic understanding of MySQL Server and general database knowledge
Excellent written and verbal communication with a passion for solving the problem
Confidence in your ability to own and deliver projects and issues to resolution on your own & can think and act globally
Deep experience in Day 2 cloud operations including automated incident remediation capacity planning and managing large-scale production cloud environments with a focus on performance and reliability.

What We Do

Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms Coupa gives organizations the visibility and control they need to make better financial choices reduce waste and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people partners and the planet.

Why Work With Us

At Coupa we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.

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