Director of Engineering - Rocket Growth, Selection

Coupang

Company Introduction   We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.    We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.   Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.     Role Overview  Rocket Growth is the 2P marketplace at Coupang. The Supply Chain team within Rocket Growth has the mission to simplify and reduce cost of doing business for Sellers. Our technological solutions enable sellers to ship their inventory to Coupang and let Coupang handle the rest - fulfilment, customer returns, used reselling, vendor returns, etc. As a Senior Staff Software Engineer, Backend, you will work on distributed systems, and building next generation products. Reporting to the Senior Director, this role is for a technical lead who will help influence the technical north star for all of the Supply Chain domain projects within Rocket Growth, as well as with internal and external partners. This role is highly technical, but also requires deep business acumen and active participation and partnership with Product to shape what we build. If you thrive working alongside Product to help define what we build, are deeply technical to understand the nuances of Supply Chain and the plethora of systems that typically are part of it - then this is the perfect role for you. What You Will Do * Drive the highest quality of architecture and design of the system. * Draw a roadmaps and vision for the scalable and robust growth of the product * Collaborate with other engineering teams to make the platform open and extensible to unlock innumerable opportunities for innovations. * Align with stakeholders and lead engineers on mission critical projects. * Decompose complex problems into simple, straightforward solutions. * Leverage knowledge of internal and industry best practices in design. * Deep-dive and handle critical system issues.   Basic Qualification * Bachelor's degree and/or master’s degree in computer science or equivalent. * Minimum 12 years of experience working on software design and development in Java, Python. * Proven track record of designing and building large-scale distributed systems in the Supply Chain space. * Large system architecture design and development experience. * Experience with cloud computing with AWS. * Experience of developing container-based testing environment. * Experience with Java / IntelliJ / Spring environment. Preferred Qualifications * Deep understanding of Supply Chain Domain * Deep expertise in AWS ecosystem (compute, storage, distributed services) * Mentor & junior engineers and influence team architecture * Excellent Communication Skills   Type of work model * Hybrid  Details to consider  * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.    Privacy Notice   * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/

Databricks

(P-1384)   About the Team At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. You will be at the forefront of integrating AI tools into the developer workflow, shaping the future of AI-assisted development.   The impact you will have: * Solve real business needs at a large scale by applying your software engineering * Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership * Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture * Manage technical debt, including long term technical architecture decisions and balance product roadmap * Leading and participating in technical, product, and design discussions  * Building, managing, and operating a highly scalable services in the cloud * Growing leaders on the team by providing coaching, mentorship, and growth opportunities * Partnering with other engineering and product leaders on planning, prioritization and staffing * Creating a culture of excellence on the team while leading with empathy   What we look for: * 15+ years of industry experience building and supporting large-scale distributed systems * Building, growing, and managing high-performance teams * Ability to attract and hire engineers who meet the Databricks hiring principles * Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner). * Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas. * BS in Computer Science or Masters or PhD  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

(P-1490) Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail. When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isn't just important, it's existential. The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billing errors structurally impossible, and automation that scales operations sublinearly with growth. In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible. You'll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale. This isn't about maintaining what exists; it's about architecting the infrastructure that enables Databricks to scale while reducing operational burden. You'll define what world-class infrastructure looks like for the next decade of data platforms. You will pursue these challenges as a founding technical leader in our fastest-growing engineering hub and strategic partner to global infrastructure leaders. In addition to building world-class teams, you will shape architectural decisions that ripple across the company and champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally. You'll work in an engineering culture born from Apache Spark and open source, where technical depth matters and infrastructure engineers are celebrated as craftspeople. The perfect candidate has built infrastructure organizations at companies where five nines weren't simply aspirational, where petabyte-scale wasn't marketing but Monday, and where the infrastructure team's technical leverage determined whether the business could scale or stall. You have the technical depth to debate data architecture, the strategic vision to define multi-year platform roadmaps, the leadership craft to build teams that top engineers want to join, and most importantly, the conviction that data infrastructure done right doesn't just support the business; it defines what's possible. The impact you’ll have: * Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building disaster recovery that's provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen * Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent, hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work * Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting * Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic * Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions What you’ll need: * 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare * Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from "how should we architect multi-region disaster recovery" to "why is this Kafka cluster exhibiting this latency pattern" while knowing when to coach versus when to decide * Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time * Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen * Proven ability to scale infrastructure organizations in high-growth environments where you've doubled engineering while maintaining quality bar, developed engineering managers, and created teams where retention is high because the problems are interesting and the culture is strong * Communication skills to make complex infrastructure decisions legible to executives (translating technical investments into business outcomes), influence cross-functional partners without authority, build trust across global teams in different timezones with different working styles, and represent Databricks' technical brand externally * BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.