Platform Database Reliability Engineer

At Index Exchange, we’re reinventing how digital advertising works— a global advertising supply-side platform, we empower the world’s leading media owners and marketers to thrive in a programmatic, privacy-first ecosystem.

We’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution. Our proprietary tech is trusted by some of the world’s largest brands and media owners and plays a crucial role in keeping the internet open, accessible, and largely free.

We process more than 550 billion real-time auctions every day (in comparison, Google processes 8.5 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs primarily on our own metal and cloud infrastructure. This end-to-end infrastructure is designed to provide both stability and agility, enabling us to adapt quickly as the market evolves.

At the core of it all is our engineering-first culture. Our engineers tackle internet-scale problems across tight-knit, global teams. From moving petabytes of data and optimizing with AI to making real-time infrastructure decisions, Indexers have the agency and influence to shape the future of advertising. We move fast, build thoughtfully, and stay grounded in our core values.

Join our global organization at the forefront of innovation in the Ad-Tech industry. We are seeking a dynamic and experienced Staff Database Reliability Engineer to lead across data domains and teams, driving strategic outcomes for our organization. The ideal candidate will be equal parts responsible for driving initiatives at deep technical level and ensuring robust operational rigor to achieve stability and scale in our data environments.

• Provide strategic leadership across multiple domains, collaborating with cross-functional teams such as product, operations, infrastructure, and platform engineering to achieve business objectives.
• Foster a culture of innovation, continuous improvement, and collaboration within the data systems team.
• Advocate for strategic directions that reduce our complexity and tech stack footprint.

• Demonstrate deep expertise some of our core database technologies, including MySQL, MariaDB, Galera, PostgreSQL, Aerospike, Redis, Kafka, Zookeeper, Cassandra/ScyllaDB, etcd, Star Rocks, Vertica.
• Deploy and operate databases at scale in decentralized cloud (k8s, external) and bare metal-based environments.
• Architect relational data structures for performance, scale, and continuity.
• Drive technical excellence by staying abreast of industry trends, evaluating emerging technologies, and making recommendations for adoption.
• Lead initiatives with other cross-functional engineering staff that are supporters and consumers of your data systems.

• Ensure robust operational processes are in place to guarantee the stability and scalability of database environments.
• Develop and implement best practices for database administration, monitoring, and maintenance using open-source observability and instrumentation tools.
• Develop and enhance testing and production release procedures with an automation-first core principle to end-to-end delivery.
• Security/IAM minded practices and implementations, audits, traceability.

• Collaborate effectively with cross-functional teams, including developers, system administrators, and data scientists, to optimize database performance and functionality.
• Communicate complex technical concepts to non-technical stakeholders, fostering understanding and alignment across the organization.
• Participate in quarterly planning events to present your roadmaps and ensure strong alignment with the objectives and the broader technology teams.
• Problem Solving and Troubleshooting:
• Lead efforts in problem identification, troubleshooting, and resolution to minimize downtime and enhance our Exchange reliability.
• Lead retrospective/rca engagements for data systems to ensure we are on a continuous improvement path.

• Key database technologies:
  MySQL, MariaDB, Galera, PostgreSQL, Kafka, Aerospike,…