Engineering Manager, Infrastructure

🏢 Summary: Lead an engineering team responsible for internal payments tooling, web applications, and APIs. The role combines people leadership with technical delivery, reliability, incident management, CI/CD improvement, and cross-functional execution. 🗂️ Requirements: 5+ years of engineering experience developing web applications and APIs, Experience leading and managing engineering teams, Deep understanding of Agile software development methodologies, Strong technical leadership and mentorship capability, Excellent stakeholder and team communication skills 📃 Skills: APIs, Web, Agile, CI/CD, DevOps, SDLC, QA, Payments 🏢 Description: ABOUT THE ROLE We're looking for an Engineering Manager to lead a team of engineers building internal tooling and APIs within the payments domain. You’ll be responsible for ensuring system reliability, delivering new features, and driving business-critical initiatives. This area manages web applications and APIs, where you oversee daily operations, drive technical execution, and support team growth across the whole employee lifecycle - hiring & developing talent. YOU WILL BE RESPONSIBLE FOR: Team Management & Support: Run daily standups Hold regular one-on-ones Drive goal setting and career development Lead hiring and onboarding Provide technical guidance and mentorship Track and act on engineering KPIs Technical & Project Oversight: Participate in code reviews and pull request approvals Lead technical discussions and discovery sessions Monitor system health and manage incidents Process & Execution: Plan and execute sprints and roadmap deliverables, ensuring clear timelines and resource alignment Optimize CI/CD pipelines and DevOps practices Work closely with engineering, product, and QA teams Champion Quality in all releases by ensuring proper regression testing and automation coverage in collaboration with QA engineers Enforce incident management processes Report on progress, risks, and changes to stakeholders related to development and operations Strategy & Leadership: Contribute to the engineering, SDLC and QA strategy. Conduct performance reviews and support career growth Maintain strong communication with stakeholders OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: Essential Skills: Solid engineering background, spending at least 5+ years working as an engineer developing web applications and APIs Proven experience in leading and managing engineering teams Transparent and inspiring leadership style that builds trust Excellent communication skills, with the ability to guide and challenge teams effectively when needed Deep understanding of Agile software development methodologies Nice-to-Have: Experience in payments domain Knowledge of the iGaming industry WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 1800 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 16 offices worldwide. WHAT WE OFFER ●   Hybrid work policy ( 🏢 Our office is located in the centre of Warsaw - on Królewska 16 👑) ●   4 weeks of Workation (T&C apply) ●   Benefits package - 800 PLN net (B2B)/gross (UOP) monthly with access to the cafeteria platform (private medical care, insurances, sports card) ●   Training budget ●   ICAS assistance program that can provide help and guidance during challenging moments. ●   Our office provides complimentary snacks and drinks; on Mondays, we serve complimentary breakfast. ●   Team and office social events throughout the year ●   Free parking for bicycles and motorcycles ●   Free gym in the building ●   Equipment: MacBook Pro + smartphone (iPhone 16/17 or Samsung Galaxy S25) JOIN US! At LeoVegas Group, we encourage our teammates to find their roar and run with their boldest ideas. We don't wait for things to happen—we pounce and make them happen! Would you be a great fit for Leo Pride? Give us a roar and apply today! 🚀 As our company's working language is English, please submit your CV in English. More about us: Careers site: www.leovegasgroup.com/careers LinkedIn: https://www.linkedin.com/company/leovegasgroup/ Instagram: www.instagram.com/lifeatleo/

🏢 Summary: Lead the design and development of a pipeline-management platform for large-scale batch and streaming workloads. The role combines technical leadership, distributed-systems architecture, reliability improvements, and collaboration to deliver scalable data-platform services. 🗂️ Requirements: Strong backend engineering experience with Java, Experience designing production-grade distributed systems, Expertise in software architecture and system design, Experience building and operating high-throughput, low-latency, highly reliable systems, Knowledge of REST APIs, HTTP, and microservices, Hands-on cloud-platform and cloud-native design experience, Experience with Docker and Kubernetes, Experience with Flink, Spark, or Kafka data-processing and streaming systems, Familiarity with CI/CD pipelines and engineering tools, DevOps experience improving reliability and delivery velocity, Strong communication skills, Ability to provide technical leadership and mentor engineers 📃 Skills: Java, REST, HTTP, Microservices, AWS, Docker, Kubernetes, Flink, Spark, Kafka, Jenkins, GitLab, Git, JIRA, DevOps, EMR, S3 🏢 Description: The Pipeline Management team builds and operates a core platform that powers large-scale batch and streaming data pipelines across HERE’s Data Platform. Our platform enables internal teams and customers to design, deploy, and operate data pipelines at scale, supporting mission-critical workloads with strong reliability and performance requirements. Lead the design and development of pipeline management services and APIs Own and evolve key platform components, including pipeline orchestration, scheduling, and workflow state management Drive architecture for high-throughput, low-latency distributed systems Partner with Product and engineering teams to deliver scalable data platform capabilities Mentor engineers and provide technical leadership across a distributed team Improve system reliability, observability, and SLA adherence for production services Contribute to CI/CD, automation, and engineering best practices across the platform Technology Stack: You will work with a modern data platform ecosystem including: Backend & Services: Java (primary), REST APIs, microservices Data Processing: Apache Flink, Apache Spark Streaming & Messaging: Apache Kafka Cloud & Infrastructure: AWS (EMR, S3) Platform Services: Pipeline Service, Scheduler, State Service, Coordinator CI/CD & Tooling: Jenkins, GitLab pipelines, Git, JIRA Who are you? Strong backend engineering experience with Java (preferred), building production-grade distributed systems Expertise in software architecture and system design Experience building and operating high-throughput, low-latency, highly reliable distributed systems Solid understanding of REST APIs, HTTP, and microservices architectures Hands-on experience with cloud platforms (AWS preferred) and cloud-native design Experience with containerization and orchestration (Docker, Kubernetes) Experience with data processing and streaming systems (e.g., Flink, Spark, Kafka) Strong familiarity with CI/CD pipelines and engineering tools (e.g., Jenkins, GitLab, Git, JIRA) Experience applying DevOps practices to improve system reliability and delivery velocity Strong communication skills with the ability to clearly explain complex concepts Nice to Have Experience with pipeline orchestration platforms or workflow engines Exposure to large-scale data platforms or multi-tenant systems Experience with cloud platform migrations or modernization initiatives What we offer: Work on on globally deployed automotive navigation and mapping products Collaboration with an experienced, international engineering organization Truly international team of fantastic & talented people from 60+ countries worldwide, working from strong tech hubs located in Europe, the US, and Asia, along with multiple smaller locations Flexible working hours & a flexible approach to office vs. remote work Medical coverage for you and your family Yearly variable bonus This role is eligible for the Creative Tax Incentive scheme in Poland (KUP) Option to work on a B2B contract (please note: benefits, bonus and KUP do not apply in this case)

🏢 Summary: Remote Staff Backend / Database Infrastructure Engineer role for a hands-on systems engineer to architect a purpose-built database and scale voice-AI infrastructure to 100,000+ concurrent calls. The offer includes $160,000–$240,000 USD base salary, 0.2%–1% equity, and the option to remain an individual contributor. 🗂️ Requirements: 5+ years of production backend engineering experience, Database, queue, indexing, or large-scale data-system development experience, Storage, ingestion, and query-path expertise, Distributed-systems design and production scaling experience, Quantifiable production-systems experience, End-to-end technical ownership, Architectural judgment and rapid iteration, Autonomous work in ambiguous startup environments, Written and verbal English, Daily AI coding-tool usage, Substantial daily US working-hours overlap 📃 Skills: Backend, Databases, Queues, Indexing, Storage, Ingestion, Querying, DistributedSystems, Claude, Codex, Cursor 🏢 Description: Staff Backend / Database Infrastructure Engineer Remote — Europe, Canada, United States, or other locations with reasonable US time-zone overlap. Substantial daily overlap with US working hours is required. Candidates in Europe should be comfortable working late afternoons and part of the evening. Hybrid work is available in Austin or San Francisco. Compensation • Base salary: $160,000–$240,000 USD • Equity: 0.2%–1% • Final offer depends on seniority, location, experience, and level of technical ownership. Description Join a small, senior engineering team building database and backend infrastructure for a QA platform for AI voice agents. The platform supports pre-deployment simulations, production monitoring, observability, and automated red-teaming, and is scaling from thousands toward 100,000+ concurrent calls, with a longer-term path to one million. What You Will Work On • Lead the design and development of a purpose-built database and indexing architecture. • Scale the simulation engine toward 100,000+ concurrent voice calls. • Build high-throughput ingestion, storage, and query infrastructure. • Develop systems for processing call recordings, transcripts, metadata, and evaluation results. • Improve reliability, latency, and performance across the platform’s highest-load paths. • Build infrastructure supporting AI red-teaming and production monitoring. • Make key architectural decisions and turn them into working prototypes quickly. • Own projects end-to-end, from ambiguous problems through production deployment. • Help establish the technical direction for a long-term platform. What We Are Looking For • At least 5 years of production backend engineering experience. • Hands-on experience building or core-contributing to a database, queue, indexing layer, or large-scale data system. • Strong understanding of storage, ingestion, and query paths. • Experience designing and scaling distributed systems under real production load. • Ability to discuss previous systems quantitatively, including throughput, data volume, latency, SLAs, bottlenecks, and failure modes. • Evidence of personal ownership of meaningful system components. • Ability to build complete systems, not only narrowly scoped components. • Strong architectural judgment and a bias toward shipping and iteration. • Experience operating without extensive process, detailed specifications, or organizational scaffolding. • Clear written and verbal English communication. • Daily use of AI coding tools such as Claude Code, Codex, or Cursor, with practical understanding of their strengths and trade-offs. • Availability for substantial daily overlap with US working hours. Strong Advantages • Experience as a founding engineer, first or second engineer, or one of the first ten startup hires. • Experience at a modern database, data infrastructure, or observability company. • Open-source contributions to PostgreSQL, ClickHouse, Redis, Kafka, Temporal, LiveKit, or similar infrastructure projects. • Production experience with Scala, Rust, Haskell, or another systems-oriented language. • Experience with voice technology, telephony, WebRTC, audio pipelines, or real-time communications. • Experience building systems that process gigabytes or terabytes of data daily. • Hands-on experience with PostgreSQL, Kafka, Redis, ClickHouse, Temporal, or custom indexing systems. • Personal systems, database, or open-source projects built outside primary employment. Voice and telephony experience is not required. Deep systems engineering capability is prioritized over voice-domain experience. How the Team Operates This is a small, senior, highly technical team. The team ships multiple times per day and follows a simple model: define the problem, identify options, select the cheapest useful experiment, assign ownership, ship, and iterate. The environment suits engineers who value autonomy, ambiguity, and direct responsibility. It is not a strong match for candidates who need lengthy onboarding, extensive organizational structure, or a large support team before contributing. The role can remain a highly technical individual-contributor position; future management responsibilities are available but not required. Interview Process The process typically takes approximately two weeks: • 15-minute introductory and culture conversation. • Open-book backend coding interview using the candidate’s preferred AI tools. • System design interview. • Second system design interview. • Optional paid two-to-three-day work trial, if additional mutual validation is needed. • Reference checks and offer. Application Apply with a CV or LinkedIn profile. Include a short example of the most complex database, queue, indexing, or large-scale backend system personally built or owned, including its scale and individual contribution where possible.