Staff/Senior Software Engineer, Data Infrastructure

Staff/Senior Software Engineer, Data Infrastructure We are looking for a Staff / Senior Data Infrastructure Engineer to join the Data Infrastructure team within Slacks broader Data Engineering organization. The mission of our team is to build secure, reliable, and cost?efficient infrastructure that powers Slacks data ecosystem, enabling data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products at scale. What You Will Be Doing Design, build, and operate reliable, scalable data infrastructure powering Slacks analytics, ML, and data?driven decision?making. Serve as DRI for 12 core data services (e.g., EMR, StarRocks, Pinot, Hive Metastore, Airflow, Temporal, Trino), ensuring uptime, reliability, and performance. Drive improvements in security, cost efficiency, and developer experience across our data infrastructure. Build automation and self?service tools that empower data teams to adopt and manage data workflows. Collaborate closely with data engineering, platform, and security teams to design scalable, well?governed solutions. Contribute to observability, monitoring, and alerting via Grafana and related tooling. Partner with other senior engineers to define best practices, technical standards, and support models for Slacks data ecosystem. Mentor and coach other engineers, modeling ownership, collaboration, and operational excellence. What You Should Have 7+ years of software or infrastructure engineering experience, including time spent supporting data?intensive systems or data platforms. Proven experience building, deploying, and operating distributed infrastructure at scale. Strong technical background with big data and infrastructure technologiessuch as EMR, Airflow, Pinot, StarRocks, Hive Metastore, Kubernetes, or equivalent systems. Proficiency in Python, Golang, Bash, and SQL. Familiarity with CI/CD (GitHub Actions), Vault, Terraform, Chef, and Grafana. Deep understanding of infrastructure reliability, observability, and cost efficiency principles. Hands?on experience supporting data pipelines or data engineering workflows is a strong plus. Excellent communication skills and the ability to collaborate across cross?functional teams. A strong sense of ownership and a drive to deliver high?impact, autonomous results. Bachelors degree in Computer Science, Engineering, or equivalent practical experience. What We Value Slack has a positive, diverse, and supportive culturewe look for people who are curious, inventive, and collaborative. We seek engineers who care deeply about craftsmanship, reliability, and empowering others. In our work together, we strive to be smart, humble, hardworking, andabove allcollaborative. Seniority Level Mid?Senior level Employment Type Full?time Job Function Engineering and Information Technology; Technology, Information and Internet Equal Opportunity Statement Slack is an equal opportunity employer and maintains a policy of non?discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Slack, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace thats inclusive and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions are fair and based on merit. #J-18808-Ljbffr