Senior Software Engineer Jobs

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. International expansion is a critical growth engine for Toast's future. Outside the US, we currently operate in Canada, UK, Ireland, and Australia and are actively growing our product platform in these markets. As we gain market share, we are increasing our upmarket product investment into Mid Market (MM). Our goal is to be able to win and retain larger and more complex restaurant and hospitality operators. As part of this team’s mission you will get close to customers to fully understand the nuances of each of their unique needs, to ensure your contributions are making a meaningful impact to their business. As a Senior Engineer you will be responsible for delivering these features from start to finish, ensuring code quality, high technical architectural standards and high quality products. A day in the life (Responsibilities) Design, build and maintain high performing, flexible, and scalable solutions that help restaurants operate their business effectively Ship features end-to-end, from design through rollout, monitoring for success and iterating based on real-world use Be an awesome teammate who's all in on collaboration and collective success Collaborate closely with Product, Design and Engineering stakeholders Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. Mentor less experienced engineers and up-level the team through design reviews, constructive feedback, and agent-assisted engineering practices What you'll need to thrive (Requirements) 5+ years of backend/full-stack experience, delivering products that drive impact Ability to read and integrate with frontend applications; showing curiosity to work a

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. About the Role We are looking for a Senior Software Engineer to join our Growth team, with a particular focus on optimizing onboarding and trial experiences. In this role, you will design, build, and continuously improve key product journeys that drive user activation, feature adoption, and trial conversion. You will work closely with Product, Design, and Data to identify friction points, test new ideas, and turn user insights into intuitive product experiences. Although this is a full-stack position,

About the role As a Senior Software Engineer on the AI Enablement team, you will build the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime. You’ll work on systems like Archimedes , Bosun , and easyRAG that power internal AI assistants, developer workflows, and retrieval-backed applications. These platforms make it easier for teams across the company to build, adopt, and scale LLM-powered tools safely and effectively. This team defines Chime’s golden paths for AI : opinionated but flexible patterns that help teams move quickly while maintaining safety, reliability, cost control, and governance. In this role, you’ll help turn emerging AI capabilities into durable, reusable platform features that can be adopted across the company. You’ll partner closely with Platform Engineering, Security, Risk, Legal, and product teams to build scalable, well-governed systems that support internal AI use cases from early prototyping through production adoption. In this role, you can expect to Build and evolve internal AI platforms such as Archimedes, Bosun, and easyRAG , enabling teams to develop and scale LLM-powered applications and workflows Design and implement reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to build safe, high-quality AI-powered tools Prototype and productionize new AI capabilities, identifying high-leverage use cases and turning successful patterns into durable platform features Define and improve Chime’s golden path patterns for LLM usage, balancing developer velocity with safety, reliability, and cost efficiency Develop systems that let teams launch AI-powered assistants and workflows in a standardized, observable, and governed way Establish evaluation, observability, and cost-management practices across AI systems, including quality, latency, safety, and spend Partner with Security, Risk, and Legal to implement practical guardrails for responsible A

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. Job Description The Geometry Scalability team builds the systems that power both Avatars and Environments across Roblox. Our mission is to enable millions of developers to build large, high-fidelity worlds and multiplayer experiences that still run smoothly on phones and low-end devices. We’re the team that lets Roblox experiences evolve from simple platformers into massively multiplayer, open-world, AAA-quality games. This is a CEO-level priority: how Roblox “ages up” from kids’ games to experiences everyone wants to play, by making higher-fidelity avatars and environments performant at platform scale. You Will: Design and ship 3D engine systems for avatar and environment geometry, including mesh processing, level of detail, transcoding, streaming, runtime loading, and related performance systems. Partner closely with other teams (Rendering, Avatar, Studio) and external developers so that the features you build are directly usable to create amazing experiences. Profile and improve the performance of our game engine across a wide range of devices, with particular attention to mobile. Lead by example: drive projects end-to-end, mentor other engineers, and help set a high bar for technical qu

Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands and digital marketing partners in financial services, healthcare, retail, hospitality, and food rely on Yext to manage, measure, and optimize visibility at scale. For more information, visit yext.com . At Yext, Product Engineering builds and evolves the technology behind our products and services. We’re looking for senior software engineers who want to solve challenging technical problems, lead the development of systems at scale, and help shape what we build next. We work in an agile environment with two-week sprints and regular demos that keep teams aligned and give engineers clear visibility into the impact of their work. As a senior engineer, you’ll remain deeply involved in designing and building software while providing technical leadership to the engineers around you. You’ll partner closely with Product and Engineering leaders to turn broader priorities into sound technical plans, guide projects through delivery, and help less-experienced engineers continue to grow. We are looking for a senior software engineer to join Team Recon , which owns the customer-facing intelligence layer of our Competitive Intelligence product area. Recon builds the experiences that transform our competitive intelligence datasets into meaningful insights for customers. This includes analysis, visualizations, user interfaces, and agentic workflows. In short, the team builds the “brains” on top of the data pool and owns the surfaces through which customers exp

Senior Software Engineer, Applied AI About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We are seeking a skilled and fast-moving Applied AI Engineer to join our team. This role is focused on the practical application of AI, specifically leveraging Large Language Models (LLMs), to build robust, scalable, and impactful user-facing features. This is an engineering-centric role. You will be an expert at building and integrating production systems, not primarily a research scientist. Responsibilities Design and build high-performance, production-level AI-powered features and services, with a focus on reliability and scalability. Develop robust engineering solutions to mitigate the inherent unreliability of LLMs. This includes implementing effective guardrails, validation pipelines, error handling, caching, and failover/fallback mechanisms to ensure a high-quality user experience even when the model misbehaves. Design long-running batch processing that is idempotent, resumable, and resilient to individual item failures. Focus on optimizing latency, throughput, and cost efficiency for all AI-powered services. Serve as an engineering expert in integrating models and data feeds with existing business logic and APIs. Define and implement evaluation for AI feature output quality, not only system correctness. Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the robus

ABOUT THE TEAM The Integrated Workflows team exists to expand Mural's value by embedding it seamlessly into the essential business workflows our customers already live in. We connect Mural to the tools that teams rely on every day, from the systems of record where work gets tracked to the places conversations happen and the surfaces content moves through. That is what integrations unlock, and it is the most interesting thing about this team. When Mural can reach the work happening everywhere else, a canvas stops being a snapshot of one meeting and becomes a live surface for how a team operates: real context pulled in, real decisions pushed back out, nobody retyping a status update or hunting for the current version. A workshop stops ending at the wall of sticky notes and starts ending in tracked, owned, moving work. That is when collaboration gets genuinely effective, and building toward it is the point of everything we do. Underneath all of that, we build the integration platform: the shared frameworks, services, and patterns that let any team at Mural ship a connected experience without starting from scratch. Our mission: to make Mural a natural part of daily work. We measure success by how indispensable Mural becomes inside real customer workflows, not by the number of integrations we ship. YOUR MISSION As a Senior Software Engineer on the Integrated Workflows team, you'll own significant parts of how Mural connects to the outside world. You'll design and build integrations that are reliable, secure, and genuinely used, and you'll turn one-off connector work into integration platform capabilities the rest of the company can build on. This role sits at the intersection of product and platform. You'll work directly against third-party APIs and SDKs with all the ambiguity that entails: shifting contracts, rate limits, auth models, partner review processes. At the same time you'll keep our own abstractions clean and our public API stable for the developers who depend

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac