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We’re looking for a Senior DevOps Engineer to join Procore’s Product & Technology Team. Procore software solutions aim to improve the lives of everyone in construction and the people within Product & Technology are the driving force behind our innovative, top-rated global platform. We’re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
In this role, you'll collaborate with engineering teams, product managers, and architects to design, build, and manage Procore’s streaming data platform. You'll play a crucial role in ensuring the platform's reliability, scalability, and performance through automation and operational excellence.
This role reports to a Senior Engineering Manager and is based in our Bangalore office, with an immediate start.
Design, implement, and manage highly scalable and resilient streaming data infrastructure, with a strong focus on Kafka and its ecosystem.
Develop and maintain automation tools and infrastructure-as-code (IaC) to provision, configure, and operate streaming data services.
Collaborate closely with software engineers to optimize streaming data pipelines and applications for performance, reliability, and cost-efficiency.
Implement and manage monitoring, alerting, and logging solutions for the streaming data platform to proactively identify and resolve issues.
Actively participate in code reviews, system design discussions, and troubleshooting complex production issues.
Participate in on-call rotations to support and maintain the stability and availability of the streaming data platform.
Stay current with industry trends and best practices in DevOps, distributed systems, streaming platforms, and how AI tools can enhance engineering efficiency.
Partner closely with internal development teams to provide a highly efficient, self-service streaming data platform and a great developer experience.
5+ years of professional experience in a DevOps, Site Reliability Engineering (SRE), or similar infrastructure-focused role, with a strong emphasis on streaming data platforms.
Extensive hands-on experience with Kafka, including administration, performance tuning, and troubleshooting.
Exceptional communication, collaboration, and problem-solving skills, with a proactive approach to technical challenges.
Demonstrated experience leveraging AI-powered development tools (e.g., GitHub Copilot, ChatGPT for coding assistance, AI-driven observability) to enhance efficiency and productivity in engineering workflows.
Deep understanding of cloud platforms (e.g., AWS, Azure, GCP), including experience with compute, storage, networking, and managed service offerings.
Strong expertise in infrastructure-as-code (IaC) tools (e.g., Terraform, Ansible) and container orchestration (e.g., Docker, Kubernetes).
Proficiency in designing and implementing scalable infrastructure solutions using modern programming languages (e.g., Python, Java) for automation and tooling.
Experience collaborating effectively within global technical teams.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.