Senior Distributed Systems Engineer / Tech Lead

RTB House

Location: [Poland]  We Are:  RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel.  Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Why RTB House? If you are looking for a place where you can really make a difference , then RTB House might be the right fit for you. The Bidding Platform organization is the core of the RTB business, processing over 20 million requests per second to participate in real-time auctions and display advertisements to customers from 90+ countries. The Platform Engineering team, which this job advert relates to, sits within the Bidding Platform and owns the platform and infrastructure that our bidding applications run on — deployment, monitoring, databases, load balancing and Kubernetes. The team makes sure these foundations stay reliable and scalable under massive, low-latency load, and provides self-service tooling with clear usage contracts, so the vertical (business) teams can build and ship autonomously. The exact scope is likely to evolve over time as our platform grows in scale and complexity. You Will: * Lead, mentor, and grow a team of ~8–10 strong systems and backend engineers, fostering a culture of technical excellence and high code quality. * Own the vision and roadmap for the platform layer of the Bidding Platform - planning its evolution with platform efficiency, reliability, scalability and security as the guiding lens. * Take part in defining the team's evolving scope — as the platform grows, we anticipate the need for multiple platform teams, leaving meaningful room to shape the scope around the areas that interest you most. * Delegate ownership of whole platform areas (e.g. monitoring, deployment, security) to senior engineers advising and supporting them when needed. * Deliver the team's capabilities as self-service platforms with clear usage contracts. For example, in monitoring the team provides and operates the monitoring platform and defines the contract for using it - while creating individual metrics and watching them day-to-day stays with the vertical (business) teams that own the applications. * Base decisions on data - complex projects often require running experiments and gathering evidence before deciding * Take part in IT-wide capacity planning for further platform scaling. * Own the framework for dispatching on-call alarms to the right teams and drive the continuous elimination of noisy alarms. The lead does not need to take part in the duty rotation personally. Desired Experience:  * 2+ years in a technical leadership role (Team Lead / Engineering Manager), including leading project teams. * Strong previous hands-on background in distributed systems and systems engineering - deployment, monitoring, databases, and load balancing within large-scale infrastructure. The role is not about writing code day-to-day, but this background is essential to understand and lead the engineers. * Comprehensive understanding of complex IT systems spanning hardware, software, and algorithms. * Knowledge of concurrent programming and distributed systems. * Critical performance analysis skills - from theoretical estimation to production optimization. * Strong programming background and the ability to dive deep into code reviews when needed.. * Experience building platform capabilities as products for other engineering teams - defining clear usage contracts and best practices, and driving cross-team technical rollouts by enabling and guiding those teams rather than doing all the work yourself;  * Comfortable owning a technical area end-to-end and communicating across teams. * Self-directed, proactive approach. * C1-level English and Polish fluency. Selected Technologies:  You will have the autonomy to select the best tools for the job. The current stack includes: Java, Python, Kubernetes, Prometheus, Aerospike, Memcached, Google Cloud Platform, BigQuery, MinIO, Kafka, ClickHouse, PostgreSQL, Elasticsearch, Jenkins, Graphite. We Offer:  * Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard. * Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers). * Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects. * Cooperation based on B2B contract. * You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow. Apply now!  You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Databricks

RDQ127R176 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. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.  The impact you will have: * Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps. * Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement. * Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines. * Introduce tools to allow greater automation and operability of services. * Use your deep experience to help prevent and investigate production issues. * Plan and lead complicated technical projects that work with several teams within the company. * Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: * 15+ years industry experience building and supporting large-scale distributed systems. * Comfortable working towards a multi-year vision with incremental deliverables. * Extensive experience building and maintaining distributed systems. * Security first mindset. * Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity. * Motivated by delivering customer value and impact. * Experience driving company initiatives towards customer satisfaction. * BS/MS/PhD in Computer Science or related majors, or equivalent experience. *   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

RDQ127R176 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. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.  The impact you will have: * Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps. * Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement. * Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines. * Introduce tools to allow greater automation and operability of services. * Use your deep experience to help prevent and investigate production issues. * Plan and lead complicated technical projects that work with several teams within the company. * Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: * 15+ years industry experience building and supporting large-scale distributed systems. * Comfortable working towards a multi-year vision with incremental deliverables. * Extensive experience building and maintaining distributed systems. * Security first mindset. * Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity. * Motivated by delivering customer value and impact. * Experience driving company initiatives towards customer satisfaction. * BS/MS/PhD in Computer Science or related majors, or equivalent experience. *   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.