דרושים » מחשבים ורשתות » Senior DevOps Engineer - Backend Infrastructure Team (Cortex)

the company harnesses the power of ai to transform how revenue teams win. the company revenue ai operating system unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. powered by the company revenue graph, ai-powered intelligence, specialized agents, and trusted applications, the company helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. for more information, visit company.
at the company, you will join a company built on innovative products, ambitious goals, and passionate people. we are shaping the future of revenue intelligence and we want people who are excited to build what comes next. you will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. if you want to grow, stretch, and do work that truly matters, the company is the place to do the best work of your career.
as an application infrastructure team lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. in this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and Developer -friendly as we scale.
if you are a technical heavyweight who loves JAVA but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
youll own:
team leadership & mentorship: guiding a high-performing engineering team and fostering a culture of ownership and excellence.
core application infrastructure: designing and maintaining mission-critical frameworks using JAVA and spring boot.
technical standards: defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
streaming & messaging pipelines: owning the reliability and scalability of asynchronous communication using kafka or sqs.
youll solve:
data layer optimization: leading specialists to tackle challenges in high availability and performance across postgresql, mongodb, opensearch, and redis.
distributed systems complexity: designing robust pipelines for asynchronous communication and data streaming at scale.
architecture gaps: bridging the gap between DevOps and product teams to align infrastructure capabilities with evolving business needs.
youll impact:
engineering velocity: providing the foundational building blocks that empower all product engineering teams to build faster and better.
system reliability: ensuring the high availability, scalability, and security of mission-critical systems.
technical culture: driving a mindset of continuous improvement and technical excellence that resonates across the r&d organization.