Lead Software Engineer Distributed Data Systems Robotics Manager Manager Manager Manager Jobs

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Observability team builds the infrastructure that empowers engineers to understand, operate, and improve the Roblox platform and ecosystem. Our team owns the end-to-end observability stack across telemetry, distributed tracing, logging, profiling, storage systems, and developer-facing visualization tools. We are looking for an Engineering Manager to lead the next generation of AI-powered observability platforms. In this role, you will help build intelligent systems that leverage AI to revolutionize CI/CD, testing, and DevOps workflows — enabling engineers to move faster, improve reliability, and operate large-scale distributed systems with greater efficiency and confidence. This is a highly impactful leadership role at the center of Roblox infrastructure. Your work will directly improve developer productivity, platform reliability, and operational excellence across the company. You will partner closely with infrastructure, product engineering, and AI platform teams to shape the future of developer tooling and autonomous operations at scale. You Have 3+ years of engineering management experience with a proven track record of hiring, mentoring, and growing high-performing teams. Strong ex

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the team The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. As an Engineering Manager, you’ll lead a team of engineers owning critical workflows such as checkout and invoicing, while also developing new features to help customers manage their spend growth. In this role, you’ll partner across the organization to ensure our customers redeem everything Sentry has to offer and budget for future expansion. In this role you will Strategic Planning & Roadmap: Define and drive the team's roadmap. Align team goals with organizational objectives and contribute to the overall platform strategy. Technical Guidance & Operational Excellence: Provide technical leadership and guidance on complex distributed systems and design. Ensure the team is proactively identifying areas for improvement. Cross-functional Collaboration: Partner closely with business and technical teams to translate business goals into actionable objectives and scalable solutions. Team Leadership & Development: Lead, mentor, and grow a team of talented engineers, including Staff-level engineers. Build a culture of technical excellence, collaboration, continuous

As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. What you’ll do here Lead and grow a team within our Agentic Engineering organization. Set technical direction across the agent harness, integrations, and workflows. Stay close to the code and contribute to architecture and implementation decisions. Evolve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve reliability, performance, and operability across agentic systems. Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. What we’re looking for Experience managing and growing software engineering teams. Strong hands-on engineering experience with Go. Experience with React and TypeScript. Hands-on experience building systems around LLMs and agentic workflows. Experience with model APIs, tool calling, context management, or agent loops. Strong distributed systems knowledge. Working knowledge of AWS. Strong technical judgment and comfort working through ambiguity. A track record of helping engineers grow while maintaining a high execution bar. Our tech stack Backend: Go, Postgres Frontend: TypeScript, React Infrastructure: AWS, Kubernetes Observability: Prometheus, Grafana CI/CD: GitHub Actions Bonus tacos if you have (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) Experience building coding agents, developer tools, or cloud development enviro

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pr

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pref

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workf

MongoDB is seeking a Director, Web Platform & Technology to define the technology strategy, architecture, and delivery model for mongodb.com, our primary digital experience. This leader will drive the evolution of the platform as we migrate to Adobe Experience Manager (AEM), modernize our software development lifecycle, improve performance and scalability, and establish the technical foundation for personalization, experimentation, AI-enabled workflows, and product-led growth. Leading a cross-functional team of Product Managers, Web Engineers, and specialized contractors (Business Analysis, QA, Scrum Master), this role will champion AI adoption across the web development lifecycle while delivering a best-in-class developer experience and partnering closely with design, marketing, and product teams to maximize business impact. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Main Responsibilities Platform Strategy & Ownership: Define the long-term vision, architecture, roadmap, and operating model for MongoDB's web platform, aligning technology investments with marketing, growth, and business objectives AEM & Digital Experience: Lead the migration to and evolution of Adobe Experience Manager while integrating Adobe Experience Cloud capabilities to support personalization, content operations, search visibility, and scalable content delivery Engineering Excellence: Establish modern engineering practices spanning Agile delivery, CI/CD, release management, quality assurance, automation, documentation, accessibility, security, and technical governance to accelerate delivery and reduce technical debt Team Leadership: Lead globally distributed engineering teams and contractor partners, building high-performing delivery models and fostering technical excellence and accountability AI & Innovation: Identify, pilot, and operationalize AI capabilities—including generative AI, conversational experiences, workflow

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is a complete customer service platform, and the leader in AI for customer service. This is a unique opportunity to lead a support team at a support focused company, and showcase our vision for AI first customer service experience. You will be leading a high performing team of Technical Support Specialists and Technical Support Engineers while managing all aspects of delivering an exceptional customer experience for our customers. We’re looking for a motivated, independent operator, who is comfortable wearing multiple hats and is energized by constant change. The ideal candidate will have exceptional customer service skills, solid technical experience, an interest in AI and proven experience successfully leading and contributing to a distributed customer support team at a SaaS organization. As a company we are majorly focused on AI so we hope you’ll be excited about the way AI is changing the customer support world and experience for our customers. What will I

Lead Software Engineer — Dublin, Ireland. Apply via Workday.

Lead Software Engineer — O'Fallon, Missouri. Apply via Workday.

Lead Software Engineer (SDET) — Toronto, Canada. Apply via Workday.

Lead Software Engineer - NBA — Nationwide. Apply via Workday.

Lead Software Engineer — 3 Locations. Apply via Workday.

Lead Software Engineer - Kubernetes Platform Management - Freewheel — VA - Reston, 11951 Freedom Dr Ste 900. Apply via Workday.

Lead Software Engineer (AI) - Onsite - Reston, VA - Freewheel — VA - Virtual - D+. Apply via Workday.