Staff Engineer, Site Reliability Engineering
hace 1 mes
Staff Engineer, Site Reliability Engineering
Location (flexible): Poland, Spain or Italy (hybrid/remote)
Role Summary
This is a staff engineer position within the Analytics Center of Excellence (ACOE) department of the Research & Development Solutions org (R&DSIT).
This SRE is responsible for the design and implementation of a hybrid cloud strategy including both public cloud (AWS) and on-premises deployments to support distributed software systems that serve an array of scenarios related to clinical trials and other lines of IQVIA’s pharma/tech business.
This is a highly collaborative role working in partnership with peer SREs, IT groups and software engineering teams to stand-up environments, deploy applications, establish metrics, and achieve infrastructure performance and stability targets. As a staff engineer you will be empowered to identify best ways to contribute your time and effort for maximum ROI/impact.
The ideal candidate is more than an infrastructure specialist but also an experienced software engineer and able to participate in design, development and leadership activities. Experience in MLOps or working with machine learning applications, their deployment and support in production is highly appreciated.
Typical Activities
Consultation and collaboration with software development teams Actively participate in Agile practices Assist with infosec assessments Work with cloud infrastructure providers Configure deployment automation frameworks Establish best practices for consistency among software development teams Continuous improvement, take proactive steps to improve product quality and process efficiency Research current and emerging industry tools and techniques and share these findings with colleagues Consistently deliver robust, high-quality, reliable engineering outcomes in cross functional autonomous scrum teams Drive curiosity and innovation Lead cross-team exercises, including DevOps incident management bridges Lead documentation efforts for product architecture and security compliance Lead security assessments and product readiness evaluation Mentor interns, apprentices, and other engineersRequirements
8+ years of relevant collaborative software engineering experience Linux experience with the ability to configure environments through the use of software tools Experience using Docker to build, test and deploy containers Kubernetes – ability to deploy applications Automated provisioning (Terraform, Ansible, etc.) Experience with CI/CD tools to build test and deploy Experience with core AWS services, uses and basic AWS architecture best practices Experience using GitHub (or similar VCS) for committing, branching and merging Solid understanding of microservices and restful services Solid understanding of relational database management systems Strong verbal and written communications skills in EnglishPreferred:
Experience with MLOps and deploying ML applications to production Experience with supporting and maintaining ML applications in production.Let's talk about you...
You're Customer-Focused. You have opinions about how users will use the product, and what problem they might run into. Being interested and willing to dive into and understand customers' problems is both helpful and rewarding. You’re Driven. You set challenging goals for yourself and push yourself to meet them; you have a passion for delivering high-quality quickly; and you enjoy working at a fast pace. You’re Collaborative. You enjoy collaborating with, learning from, and teaching others so we all can become better. You treat your colleagues with honesty, kindness, and respect and actively do your part to create a positive work environment. You’re Humble. You are unafraid to ask questions when you don’t know the answer, and you approach disagreements with the possibility that you might be wrong.#LI-MONICABOBOCEA
#LI-REMOTE
IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at
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