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Engineering Manager Linux Team Jobs

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Explore current engineering manager linux team jobs. Use filters to narrow by work mode, employment type, experience and date posted.

D
Decagon
📍 New York• Full-time• $200K – $400K/yr
2mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Enterprise Product team creates the platform that customers use to build, maintain, and improve their AI agents. We transform complex engineering work into intuitive self-serve products, making sophisticated AI capabilities accessible to both technical and non-technical Customer Experience teams. This team is core to Decagon’s ability to scale: the tools you build directly support agents for all our customers, each with unique workflows, data, and requirements. About the Role As a Senior Software Engineer on the Enterprise Product team, you will take ownership of designing and building robust, scalable systems that allow customers to create and optimize their AI agents with confidence. This means working closely with customer facing teams to understand current workflows, then designing elegant abstractions and interfaces that scale those capabilities across our customer base. You’ll work day-to-day with the core product and design teams, joining discovery, defining requirements,

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Decagon
📍 San Francisco• Full-time• $200K – $400K/yr
2mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Enterprise Product team creates the platform that customers use to build, maintain, and improve their AI agents. We transform complex engineering work into intuitive self-serve products, making sophisticated AI capabilities accessible to both technical and non-technical Customer Experience teams. This team is core to Decagon’s ability to scale: the tools you build directly support agents for all our customers, each with unique workflows, data, and requirements. About the Role As a Senior Software Engineer on the Enterprise Product team, you will take ownership of designing and building robust, scalable systems that allow customers to create and optimize their AI agents with confidence. This means working closely with customer facing teams to understand current workflows, then designing elegant abstractions and interfaces that scale those capabilities across our customer base. You’ll work day-to-day with the core product and design teams, joining discovery, defining requirements,

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Replit
📍 Foster City• Full-time• Remote• $180K – $250K/yr
2mo ago

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role As a Product Engineer, you’ll take emerging ideas from concept to polished experiences. You’ll build sophisticated, intuitive user experiences while working across AI models, agentic workflows, and all parts of web infrastructure to ship complete products. The Goal: Build products that can define major new categories for Replit. You will combine the flexibility of software with the accessibility of presentations, spreadsheets, dashboards, and visual editors, enabling anyone to create powerful, interactive artifacts through natural language. The Audience: We build for the next generation of creators, knowledge workers, and high-leverage teams. Our users should be able to turn an idea, dataset, or business problem into a polished, editable, and shareable product just by themselves. Candidates who thrive here often have the product judgment, technical range, and ownership mindset associated with founders. This is a high-visibility role working closely with product leadership. How we work Structure: We operate as a collective of in-house technical founders, not narrowly specialized engineers. Initiatives are run by lean, autonomous teams built for velocity and technical leverage. Engineers maintain meaningful ownership over technical direction, product quality, and launch success, supported by Product and Design partners. Cadence: We work in focused three-week sprints, shipping quickly, observing real user behavior, and incorporating feedback into each iteration. We value decisive execution, thoughtful experimentation, and the ability to make progress without perfectly defined requirements. What you’ll do Own major product experiences from initial concept through design, implementation, launch, measurement,

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Databricks
📍 San Francisco• $166K – $210.3K/yr
2mo ago

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain:

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Everpure
📍 Santa Clara• $149K – $359K/yr
2mo ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join our Core Engineering team to power the foundation of our Enterprise Data Cloud, delivering six 9s of system reliability to global enterprises. In this role, you will take end-to-end ownership of core platform components, solving complex distributed systems challenges through thoughtful software design. Partnering closely with cross-functional engineering teams, you will drive features from concept to production, directly shaping how organizations scale their most critical data. WHAT YOU'LL DO Advance Platform Reliability & Scale: Design and build resilient, high-throughput distributed algorithms to sustain six 9s of continuous uptime across the Enterprise Data Cloud engine. Drive End-to-End Feature Delivery: Lead key platform initiatives from architectural design through production rollout, expanding overall system capabilities for enterprise customers. Resolve Complex System Challenges: Evaluate multi-faceted engineering issues across distributed consensus, resource allocation, and fault tolerance to guarantee performance under high workloads. Collaborate Across Engineering Teams: Partner daily with peer engineers to conduct rigorous design and code reviews, share technical expertise, and influence long-term platform architecture. WHAT YOU BRING C++ Systems Engineering: Technical proficiency writing clean, maintainable, and concurrent C++ production code for high-performance systems. Distributed Systems

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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE You will join the Portworx team, which is responsible for delivering the highest quality Portworx suite of products. You will be contributing to cleanest code, being customer oriented and putting quality first. You will be involved in developing a secured, consistent best-in-class experience for our customers purchasing and using various Portworx offerings- As a developer in the Portworx team, you will be responsible for design and implementing various features and products on the Portworx portfolio. WHAT YOU'LL DO As a developer in the Portworx team, you will be responsible for design and implementing various features and products on the Portworx portfolio. Your responsibilities include: Designing and developing microservices and integrating new features to Portworx products Bringing a focus on design, development, unit/functional testing, code reviews, documentation, continuous integration and continuous deployment Collaborating with peers and stake-holders to take solutions from initial design to production Take full ownership of design and development activity by adapting to customer feedback and handling issues found in unit testing, system testing and customer deployments Experimenting with new technologies in order to push the state-of-the-art and innovate new solutions We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with E

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ElevenLabs
📍 Remote• Full-time
2mo ago

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

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Ema (Enterprise Machine Assistant)
📍 San Francisco Bay Area• Full-time
2mo ago

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The residency You own one hard problem end to end. You write the proposal, build the system, design the evaluation, ship behind a gate, and finish with a write-up of what turned out to be true, including the parts that didn't work. You'll sit in the production codebase with a senior mentor and real production data. Recent residents have shipped self-improving harnesses, inference-cost work, agent memory, and eval infrastructure. Your project gets scoped with you, not handed to you. The problem space The loop we care about: production traces become data, data becomes training and evaluation, and better agents produce better traces. Projects live somewhere on that loop. Harness and inference-time work. Context engineering, tool and skill design, orchestration, and deciding where extra inference compute actually pays. Self-improvement loops run behind hard fences. Post-training for agents. SFT on curated trajectories, preference optimization, RL on real agent tasks. Reward design where outcomes are verifiable, process vs. outcome supervision, distilling frontier behavior into cheaper models. Environments and rewards. Turning enterprise workflows into training

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Twilio
📍 - US• Full-time• Remote• $138.7K – $173.4K/yr
2mo ago

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Software Engineer (L2) Who we are & why we’re hiring Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum. About the job This position is needed to fulfill the critical role of a Software Engineer within Twilio Sendgrid, to be both hands-on in creating, deploying and managing highly available, very large scale distributed systems. Our systems processed 12 billion emails on Black Friday 2026 and we continue to scale! You will be a key contributor in one or more of these area

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Syllo
📍 Remote• Remote• $190K – $230K/yr
2mo ago

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 Staff Software Engineer to take ownership of our advanced search, indexing, and data scanning infrastructure as we scale to the next echelon of data volume. Our retrieval stack is robust and proven, but as our ingest sizes push into the multi-petabyte range, the complexity of balancing speed, availability, and cost increases exponentially. You will own this constellation of scaling challenges. Your mission is to continuously optimize and evolve our systems—ensuring our hot indexes maintain sub-second latency for interactive workflows, while simultaneously designing highly concurrent, cost-effective architectures for deep scanning and vectorizing massive volumes of cold-storage data. You will lead the design and implementation of sophisticated data tiering and retrieval strategies that keep our platform operating at peak performance without inflating cloud compute costs. Responsibilities Scale the Retrieval Stack: Lead the optimization and architectural evolution of our existing hybrid search infrastructure, maximizing the throughput and efficiency of both lexical search (e.g., Elasticsearch, Lucene) and dense vector databases. Advanced Data Tiering & Scanning: Design and implement intelligent, cost-effective tiering strategies across hot, warm, and cold data states. Evolve our distributed pipelines to efficiently exec

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2mo ago

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . We are seeking an experienced Principal Software Engineer to lead the architecture, development, and evolution of a large-scale malware analysis and cybersecurity platform. This role will own the end-to-end technical architecture across Python-based analysis pipelines, message-driven job orchestration systems, Windows VM sandbox environments, and web-based interfaces. The ideal candidate brings deep expertise in software engineering, malware analysis, and distributed systems, with a proven ability to take ownership of complex legacy platforms and drive modernization initiatives. You will lead the design and implementation of advanced detection capabilities, including behavioral analysis, malware sandboxing, machine learning-based classification, and support for new file types, while ensuring platform scalability, reliability, and performance. This position requires strong hands-on development skills in Python with Linux-based production environments, messaging architectures such as RabbitMQ, virtualization technologies, and cloud-native deployment practices. As the technical leader for the platform, you will establish engineering standards, guide architectural decisions, reduce technical debt, mentor senior engi

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WRITER
📍 Illinois• Full-time
2mo ago

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Every company grows differently, and at WRITER, our growth is directly tied to empowering our users to create better content, faster, and at an unprecedented scale. As a strategic solutions architect, you'll be at the forefront of this mission, working directly with our largest and most strategic prospects to identify, validate, and build innovative agentic AI solutions that unlock massive business value. This isn't just about selling a product; it's about deeply understanding complex enterprise needs and architecting a future where AI transforms how our customers operate. You'll be instrumental in shaping how the world's leading companies adopt and scale AI, making a tangible impact on both their success and WRITER’s continued leadership in the enterprise generative AI space. This is a full-time, hybrid role based out of our Chicago hub. You will report directly to the Director, solutions architecture. 🦸🏻‍♀️ What you'll do Drive strategic technical discovery

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Harvey
📍 San Francisco• Full-time• Remote• $193.4K – $290K/yr
2mo ago

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We’re looking for experienced frontend engineers to help build and evolve Harvey’s frontend platform—the systems, tools, and abstractions that enable our engineering team to ship high-quality product experiences quickly and consistently. This team focuses on developer experience, performance, reliability, and scalability across our frontend stack. Rather than building one-off product features, you’ll create shared foundations that power all of Harvey’s user-facing applications. This is a high-impact role with broad scope across the engineering organization. You’ll work closely with product engineers, design, and infrastructure teams to define and drive the future of frontend development at Harvey. What You'll Do Build and evolve shared frontend infrastructure, includin

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Cloudflare
📍 Hybrid• Full-time• Hybrid• $185K – $254K/yr
2mo ago

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Austin, US Denver, US Seattle, US Washington DC, US Applications will be accepted until October 28, 2026. About the Role This is a hands-on software engineering role on the Cloudflare One Appliance team. You will shape and build the Linux-based edge runtime and distributed control plane that connect customer sites to Cloudflare. As a Senior Systems Engineer, you will work across low-level systems, distributed services, an

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Location : Ghent, Belgium/ Bucharest, Romania, hybrid model 2 days on-site About the position We're looking for a Principal Cloud Engineer to join our platform enablement team and help shape the infrastructure foundation that our engineering organisation builds on. This role is suited for someone who has worked in a modern, mature SaaS engineering culture — where autonomous product teams own their own AWS accounts, infrastructure, and CI/CD pipelines, and the platform team's job is to enable them to do that well. You will provide architectural guidance, guardrails, and best practices that help teams move fast without breaking things. This is not a central DevOps role — we don't operate infrastructure on behalf of other teams. We build the rails they run on. If you've spent your career in an enablement or platform engineering function at a SaaS company with autonomous teams and a multi-account AWS environment , this role was written for you. Key Responsibilities Design, implement, and evolve core AWS infrastructure to support the accelerated expansion of our platform capabilities across a multi-account, multi-environment organisation. Own and advance our AWS CDK (TypeScript) standards — you are the expert other teams come to for guidance, code reviews, and architectural decisions on IaC. Provide architectural guidance, guardrails, and reusable patterns that enable autonomous product teams to build and operate their own cloud infrastructure safely and efficiently. Diagnose, troubleshoot, and resolve complex infrastructure and platform issues, including reverse-engineering problems when documentation or context is limited. Help maintain reliable operational support, including participation in on-call and escalation rotations . Partner closely with engineering teams to share context, unblock work, and raise the infrastructure quality bar across the organisation. Support knowledge transfer and continuity in a complex, fast-moving operational environmen

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