Company at a Glance OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. We’re seeking a Staff Software Engineer with strong platform and cloud expertise to shape and scale the next generation of our real-time integrations. You will architect, build, and deliver reliable, secure services that enable partners to connect with the OpenX platform. In this role, you’ll lead major technical initiatives, influence architectural decisions, mentor engineers, and ensure our integrations and platform components operate with exceptional performance and reliability. An ideal candidate is: - Open-minded – Welcomes feedback, learns from failure, and adapts quickly to change. - Proactive – Takes initiative to identify problems and drive thoughtful, effective solutions. - Self-motivated & Organized – Manages priorities independently and follows through with clarity and accountability. Key Responsibilities: - Architect and build low-latency systems operating at 1M+ QPS. - Design and deliver systems that let partners connect and run real-time workloads securely and efficiently. - Collaborate with partner engineering and product teams to plan, build, and launch integrations aligned with business and technical needs. - Own critical platform features from end-to-end, from design through rollout and adoption. - Proactively identify and resolve performance bottlenecks and scalability risks. - Set technical direction and guide implementation across the team. - Promote engineering quality through reviews, mentoring, and driving best practices in code, architecture, and platform design. Required Qualifications: - 10+ years of software development experience with deep expertise in Go or other high-performance languages (Java, C++, Rust). - Strong foundation in distributed systems, Kubernetes, and containerized service architectures. - Skilled at debugging and stabilizing production systems under high load. - Deep understanding of concurrency, networked systems, and service orchestration. - Hands-on experience designing and operating production workloads on a major cloud platform (GCP preferred). - Demonstrated success delivering large-scale, high-performance, and reliable systems. - Experience integrating services with gRPC, Thrift, REST, and MCP. - Strong problem-solving skills, with the ability to anticipate and address scalability, reliability, and privacy challenges. - Excellent collaboration and communication skills across engineering, product, and partner teams. - Proven experience mentoring senior engineers and raising technical standards. Preferred Qualifications: - Experience in digital advertising, RTB, or other high-volume transactional systems. - Familiarity with OpenRTB and/or Prebid. - Strong understanding of CI/CD workflows, infrastructure as code (IaC) patterns, and observability practices, with working familiarity of tools like Terraform, Helm, and Grafana. - Expertise in designing and scaling RESTful APIs, including data modeling, error handling, performance tuning, and security best practices. - Experience using AI-assisted development tools to enhance productivity. Pursuant to any state, local ordinance, or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. OpenX is committed to fair and equitable compensation practices. For all applicants, the base salary range is noted above, per year + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. A summary of our benefits, which include medical, dental, vision, 401k, equity and more, can be viewed here: https://www.openx.com/company/careers/ A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. OpenX VALUES Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do. WE ARE ONE We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture WE ARE CUSTOMER CENTRIC We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care. OPENX IS OURS We are all owners of OpenX We all have a voice to improve OpenX We stake our personal and professional reputations on the excellence of our work We are not interested in just "doing our jobs"; we take ownership to drive results WE ARE AN OPEN BOOK We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally. WE EVOLVE FAST We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious. OpenX TRAITS Our three traits capture what makes a great team member at OpenX. HUMBLE Ideal team players are humble and demonstrate integrity. They put the team's success above their own, share credit generously, and value collective achievements. They are self-assured, open to coaching, and committed to continuous learning. DRIVEN Ideal team players are results-driven and motivated. They are curious, always seeking more to do, learn, and take on. As proactive problem-solvers, they take initiative without needing external motivation. They continuously think about the next steps and opportunities for improvement. SMART Ideal team players are smart and possess the intellectual acumen to understand the complexities of our organization and industry. They are interpersonally intelligent, good communicators, and exemplify sound judgment in their interactions across the company to foster a collaborative environment. OpenX is committed to equal employment opportunities. It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law. OpenX Applicant Privacy Policy Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/. Effective Date: November 21, 2024

• Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections. • Lead the expansion of Dropbox's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems. • Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes. • Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide. • Mentor and guide junior team members, sharing knowledge and best practices to cultivate a culture of continuous learning and professional growth within the infrastructure engineering team. • Stay current with emerging technologies and industry trends to continuously enhance Dropbox's infrastructure and maintain a competitive edge in the market.

• Design and enhance backend infrastructure focusing on scalability, performance, and reliability. • Expertly manage concurrency and parallelism in Go using goroutines, channels, and synchronization primitives like mutexes and wait groups. • Develop robust networking and streaming capabilities, including experience with network programming, sockets, and protocols like WebSockets and WebRTC. • Lead performance optimization initiatives by profiling Go code, reducing latency, and efficiently managing memory and garbage collection. • Build fault-tolerant systems with strong recovery mechanisms and failover strategies to maintain service continuity. • Implement comprehensive logging and tracing using tools such as zap, klog, OpenTelemetry, and Jaeger to enhance monitoring and troubleshooting. • Apply Test-Driven Development (TDD) and engage in Pair Programming to ensure high code quality and promote team collaboration. • Participate actively in code reviews, offering constructive feedback to uphold code quality and adhere to best practices. • Stay informed on the latest in software development and contribute to the team's continuous learning and improvement.

• Own the video pipeline end-to-end: Architect and implement ingestion → decode → chunking → storage → retrieval → playback, across batch and streaming modes based on AI/ML workflows or media application workflows. • Deep codec & decode mastery: Drive decisions on decode strategies (hardware vs. software, GPU-accelerated pipelines), container format handling (fMP4, CMAF, MKV, TS), and codec support (H.264, H.265, VP9, AV1) with pragmatic cost/quality tradeoffs. • Semantic & heuristic chunking: Work with our ML Research Scientists to design and implement intelligent video segmentation that goes beyond fixed-interval splitting — scene boundary detection, shot change analysis, content-aware chunking that optimizes downstream AI model performance. • Streaming ingestion: Architect low-latency streaming pipelines (HLS, DASH, LL-HLS, WebRTC ingest) that process video in near-real-time, including streaming decode and incremental chunking. • Video storage architecture: Design storage tiers and retrieval patterns optimized for AI workloads — balancing hot/warm/cold access, frame-level random access, and cost at petabyte scale. • Playback & delivery: Ensure video can be served back to users with accurate temporal navigation, supporting time-coded references from AI analysis results. • FFmpeg & media toolchain expertise: Be the internal authority on FFmpeg, libav, and related tooling. Build and maintain custom processing pipelines, filters, and integrations. • Cost engineering: Quantify and optimize cost-per-hour-of-video-processed. Drive decode efficiency through hardware acceleration (NVDEC, VA-API), pipeline parallelism, and intelligent resource allocation. • Cross-team technical leadership: Partner with ML teams on how video is preprocessed for model consumption, with platform teams on infrastructure, and with product on customer-facing media capabilities. • Standards & best practices: Establish video engineering standards, author reference implementations, and mentor engineers across teams on media fundamentals.