Senior Software Engineer, HUB Location San Francisco Employment Type Full time Location Type Hybrid Department Engineering Compensation San Francisco$165K – $228K Overview About Us Weekend is the leading developer of voice AI games for smart TVs. Our games attract millions of users every month, with family favorites like Jeopardy!, Song Quiz, CoComelon: Sing and Play with JJ, and Wheel of Fortune. We believe voice interfaces will become the main way people access entertainment in their living rooms, kitchens, bedrooms, and cars. We're building a bundled subscription product similar to Netflix or Spotify for the emerging category of "AI-powered games." Weekend was founded by Max Child and James Wilsterman in 2024. The founders went through Y Combinator in 2018 and landed a spot on the 2022 YC Top Companies List. We’re a quickly-growing team headquartered in Union Square, San Francisco. Role Summary The Hub team owns Weekend's bundled gaming experience, the first thing users see across all TV platforms. We build and maintain the features that shape how players discover, adopt, and stick with our games, from the core product experience to growth experiments that move business metrics. This is a front-end-leaning full-stack role. You'll spend most of your time building user-facing features in TypeScript and React, working closely with Product and Design to shape what gets built and how. You'll also own backend work where it connects to what users experience, but the center of gravity here is the interface, not the infrastructure. It's a high-impact position for engineers who care about how users feel, not just how systems scale, and who thrive at the intersection of engineering, product, and data. This job opportunity offers a hybrid work arrangement, and we are specifically seeking candidates who are comfortable with on-site attendance in our Bay Area office 3 times per week and are either currently residing in or near the Bay Area or willing to relocate for on-site work. What You'll Do at Weekend - Partner closely with Product to refine requirements, write technical specs, and deliver features from concept to launch. - Collaborate with Design to create delightful, intuitive experiences for users across TV, mobile, and web platforms. - Own features end-to-end, including the backend services they depend on, with a primary focus on the user-facing layer. - Use data to validate what you ship, measure impact, and inform what to build next - Proactively identify risks, surface blockers early, and shape engineering decisions with your team. - Contribute to code reviews and maintain a high standard of code quality, architecture, and performance. We're Excited About You Because You Have - You have 6+ years of software engineering experience, with meaningful time spent on user-facing products. - You have strong TypeScript and React skills and have shipped production-grade frontend work you're proud of. - You've worked directly with Product and Design partners, not just received specs to implement. - You've owned features end-to-end, from scoping and tradeoffs through launch and iteration. - You make data-informed decisions and know how to instrument and measure what you ship. - You're comfortable with backend systems where they connect to what users experience. - You operate well in ambiguous environments and don't need a fully-defined problem to start making progress. Bonus Points - Experience with analytics and experimentation platforms (Amplitude, Segment, Statsig, LaunchDarkly). - Familiarity with conversion funnels, user journeys, and subscription business models. - Background in gaming, entertainment, or other high-engagement consumer products. - Experience working in or transitioning from game engine environments (Unity, C++, Unreal) -- we care about your instincts, not your current stack. - Familiarity with attribution and marketing tools (AppsFlyer, Branch, or similar). Our Stack - TypeScript, React, Node.js, CI/CD pipelines, Git, Kubernetes The Hiring Process - Stage 1 (Preliminary Video Call): with a member of our recruitment team. - Stage 2 (Engineering Panel): with various members of our engineering team. - Stage 3 (Onsite Interview): with various partners and team members. - Stage 4 (Founder Chat) with our Founders. As an AI company, we're a huge believer in the value of AI tools. That being said, the interview process is intended as a conversation - we want to get to know you and your experience. Please refrain from using AI tools during all Weekend interviews unless otherwise specified. What's in it for You - Your medical, dental, and vision insurance is 100% covered by Weekend, for yourself and all dependents and we match 401k! - We offer a flexible, hybrid work-from-home and in-office work model. - We offer unlimited paid time off (enforced 2-week minimum), 16 paid holidays, 40 hours of bereavement leave, and unlimited sick days. - Our generous parental leave policy includes 24 weeks at 100% pay for birthing parents and 12 weeks at 100% pay for non-birthing parents. - We offer visa support for eligible candidates, making relocating for the job smoother and more streamlined. - A full breakdown of our benefits is here! For Pay Transparency: The final offer amount may depend on experience, education, skills, and location. Base pay is one part of the total package that is provided to compensate and recognize employees for their work. Weekend is committed to the full inclusion of all qualified individuals. As part of this commitment, Weekend will ensure that persons are provided reasonable accommodations throughout the hiring process. If any reasonable accommodation is needed, please reach out to your hiring contact.

Role Description Estamos em busca de uma pessoa Desenvolvedora Full Stack Pleno para atuar no desenvolvimento e evolução de aplicações web, participando de todas as etapas do ciclo de desenvolvimento, desde a construção de novas funcionalidades até a garantia da qualidade do código por meio de testes automatizados. Buscamos alguém com perfil colaborativo, capacidade de atuar tanto no backend quanto no frontend e que tenha interesse em contribuir para a construção de soluções escaláveis, seguras e de alta performance. Responsibilities - Desenvolver e manter aplicações backend utilizando Java e ecossistema Spring. - Desenvolver interfaces modernas e responsivas utilizando React. - Participar da definição e implementação de soluções técnicas alinhadas às necessidades do negócio. - Criar e consumir APIs REST. - Garantir a qualidade das entregas por meio da implementação de testes unitários. - Realizar correções, melhorias e manutenção evolutiva dos sistemas. - Atuar em conjunto com equipes multidisciplinares em um ambiente ágil. - Participar de revisões de código e contribuir com boas práticas de desenvolvimento. Qualifications - Experiência em desenvolvimento Full Stack. - Conhecimento em Java 8 ou superior (17 e/ou 21 serão considerados diferenciais). - Experiência com Spring Framework e Spring Boot. - Experiência com React. - Experiência em TypeScript. - Experiência com NestJS. - Vivência na construção e consumo de APIs REST. - Experiência com testes unitários utilizando: JUnit, Mockito e Jest. - Conhecimento em versionamento de código utilizando Git. Requirements - Experiência com arquitetura de microsserviços. - Conhecimento em integração contínua e entrega contínua (CI/CD). - Vivência com metodologias ágeis (Scrum ou Kanban). - Experiência com containers e ferramentas de virtualização, como Docker. Benefits - Contratação CLT - 40h semanais com jornada flexível, executada de forma remota. - Plano de Saúde e Odontológico SulAmérica extensivo a dependentes. - Vale Alimentação/Refeição em cartão flexível Caju benefícios. - Seguro de Vida. - Auxílio Home-Office em cartão flexível Caju benefícios. - Wellhub (Gympass). - Sesc – extensivo a dependentes, com acesso aos serviços em todo o Brasil. - TotalPass. - ília University: Universidade Corporativa com mais de 20 mil cursos disponíveis para desenvolvimento pessoal e profissional. - Language Academy: Escola de idiomas para ílians. - í-talks e Chapter: Momentos e cerimônias em que o time compartilha práticas, estudos, projetos e ideias. - Plano de Saúde PET - Guapeco. - Onhappy – benefício de viagem a lazer, com liberdade para você viajar com quem quiser. - BYOD - Alugamos o seu notebook pessoal te pagando um valor mensal para que você o use. - Seu Niver, seu bolo! - Seu Networking Vale Prêmio - Programa de premiação a indicação de novos funcionários.

Role Description GITI is seeking a Principal Software Engineer to support Cyber Operations Research and Development as the technical lead for production software development on a passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will own the architecture, implementation, and delivery of the production pipeline — a stream ingestion, rollup, and post-processing system that operates on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. This is a hands-on technical leadership role: the Principal Engineer writes code, makes architecture decisions, and is accountable for pipeline performance and reliability in support of real-world cyber operations. Responsibilities - Own the architecture and implementation of the production software pipeline, including stream ingestion, rollup, database write, and batch post-processing components. - Lead a team of Senior Software Engineers in support of real-world cyber operations; assign work, conduct code reviews, enforce quality standards, and provide technical mentorship. - Establish and maintain disciplined software engineering practices: versioning, CI/CD pipelines, unit and integration testing, and documentation standards. - Design and evaluate database and storage architecture for the tactical system and research enclave environments. - Collaborate with the program technical lead to translate research findings and batch optimization algorithms into production pipeline components. - Evaluate and benchmark Python pipeline performance on tactical-box-spec hardware; identify bottlenecks and lead porting of mature components to Rust or C for edge deployment. - Manage and coordinate the tactical system VM environment and stream simulation infrastructure; ensure research VM is not disrupted by development activity. - Define and enforce stream interface contracts between the ingestion layer, database, and downstream consumers. - Evaluate emerging technologies (e.g., DuckDB/Parquet, Polars, message queues) against program requirements and recommend adoption decisions to the technical lead. - Maintain the program's GitLab repository structure, branching strategy, and release management. - Produce clear technical documentation including architecture decision records, interface specifications, and deployment guides. - Support technical reviews and provide written inputs for sponsor deliverables as directed by the program technical lead. Qualifications - Expert-level career professional with broad and deep application of software engineering principles across the full development lifecycle. - Exercises independent judgment in evaluating methods, techniques, and approaches; identifies and resolves complex technical problems with significant program impact. - Provides technical leadership and direction to other engineers. - Bachelor's (or equivalent) with 10+ years of experience. Requirements - Demonstrated experience leading a software engineering team on a production data pipeline or streaming system; ability to set technical direction and mentor junior engineers. - Expert-level Python development, including stream processing, multi-threaded/async architectures, and performance profiling. - Proficiency in one or more compiled or systems languages (Rust, C, C++, or Go) for performance-critical components; experience porting Python to compiled targets. - Hands-on experience designing and implementing relational database schemas and write-intensive data pipelines (MySQL, PostgreSQL, or equivalent). - Experience parsing binary serialization formats such as FlatBuffers or Protocol Buffers in a production context. - Demonstrated ability to benchmark and optimize pipeline throughput on resource-constrained hardware or cloud environment. - Strong proficiency with Linux system administration, remote server management via SSH, and air-gapped development environments. - Experience architecting multi-consumer data systems where a single write path must serve concurrent display, analytics, and batch processing readers. - Proficient in disciplined software engineering practices: GitLab/Git, CI/CD pipeline design, test-driven development, and code review. - Excellent written and oral communication skills; ability to produce architecture decision records and technical documentation for both engineering and leadership audiences. Desired Skills - Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications. - Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts. - Experience deploying and operating software on tactical edge hardware co-located with a sensor system. - Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent). - Experience with Polars or DuckDB for high-performance analytical workloads and write-once/read-many storage patterns. - Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards. - Familiarity with AI/ML model inference integration — ability to incorporate batch optimizer outputs into the production pipeline without requiring ML expertise. - Experience with browser-based data visualization or reporting tools (React, D3, or equivalent) as a consumer of pipeline output. - Experience with Jupyter Notebooks and research enclave environments; ability to bridge from research prototype to production code. - Experience with FlatBuffers binary stream replay and simulation infrastructure for pipeline testing. - Familiarity with Rust toolchain and ecosystem for systems-level development on Linux. Relevant Certifications - Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Secure Software Lifecycle Professional (CSSLP); Red Hat Certified Engineer (RHCE); C++ Certified Professional Programmer (CPP); Professional Software Developer Certification (PSD); etc.).

• As a Senior PLC Engineer, you'll own the controls software that keeps our infrastructure online. • This is a hands-on build role. • You'll take an architecture from concept to commissioned, running system, programming the PLCs and SCADA and writing the software, services, and tooling around them. • Design, develop, test, and commission PLC programs on Siemens (TIA Portal, S7-1500/1200) and/or Rockwell/Allen-Bradley (Studio 5000, ControlLogix/CompactLogix) platforms, using IEC 61131-3 languages (Structured Text and ladder), for cooling and mechanical plant equipment: CDUs, chillers, hydraulic skids, fan walls, DOAS, and pumps. • Develop the supervisory logic for the Master Plant Controller, including equipment staging, lead/lag, setpoint reset, failover, and plant-level coordination across multiple skids. • Build and maintain the SCADA/HMI layer (Siemens WinCC, Rockwell FactoryTalk View, or Ignition): operator screens, alarming, trending, historian, and access control. • Write robust safety logic, interlocks, and alarm strategies for pressurized and high-power equipment, and uphold a safety-first engineering standard. • Integrate OEM-controlled equipment such as chillers and DOAS over Modbus TCP, BACnet, OPC UA, EtherNet/IP, and PROFINET, defining and validating register and object maps. • Build process simulations and digital twins (Siemens PLCSIM Advanced / SIMIT, Rockwell Studio 5000 Emulate / Emulate3D, or scripted models) to validate logic and tune control loops before site deployment. • Lead field commissioning, startup, and loop checks. Troubleshoot live systems and drive issues to resolution. • Apply real software engineering practices to controls work: version control, code review, modular and reusable function-block libraries, and clear naming and documentation standards. • Build the general-purpose software around the controls stack: data pipelines, monitoring and telemetry services, edge and cloud integrations, internal tooling, and automation that connects plant data to the rest of Giga's systems. • Translate the controls engineer's architecture and sequence-of-operations into working, well-structured, maintainable code. • Operate comfortably in ambiguous, unstructured environments and solve problems where established processes don't yet exist.