Implementation Lead Jobs

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Principal Software Engineer (C / Networking / Dataplane) to join our Engineering Team. This is a Hybrid (San Jose, CA 3 days a week in office) role, reporting to the Senior Director, Software Development Engineering. The Principal Software Engineer (C / Networking / Dataplane) will design and implement high-performance data path features for load balancing and L7 protocols, directly enhancing the scalability and security of global networking infrastructure. By leveraging deep C programming expertise and autonomous ownership, they will drive complex architectural projects from initial concept to large-scale deployment. What you’ll do (Role Expectations) Design and implement Datapath features related to Load Balancer, Firewall rules and L7 Protocol implementations Apply deep knowledge of C programming, data structures, and algorithms to build high-performance systems Independently drive moderately co

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Software Engineer (C / Networking / Dataplane) to join our Engineering Team. This is a Hybrid (San Jose, CA 3 days a week in office) role, reporting to the Senior Director, Software Development Engineering. The Senior Staff Software Engineer (C / Networking / Dataplane) will design and implement high-performance data path features for load balancing and L7 protocols, directly enhancing the scalability and security of global networking infrastructure. By leveraging deep C programming expertise and autonomous ownership, they will drive complex architectural projects from initial concept to large-scale deployment. What you’ll do (Role Expectations) Design and implement Datapath features related to Load Balancer, Firewall rules and L7 Protocol implementations Apply deep knowledge of C programming, data structures, and algorithms to build high-performance systems Independently drive moderat

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team… We’re a high-impact, collaborative Order to Cash Revenue team that sits at the intersection of key teams within GoDaddy (Finance, Accounting, and Technology). Our mission is to ensure accurate, timely, and compliant revenue recognition while optimizing the end-to-end Order-to-Cash process to support GoDaddy’s global financial operations and enable informed business decisions. We support innovation by bridging the gap between technical capabilities and accounting requirements, enabling our teams to make data-driven decisions with confidence. Join us to make an impact! What you’ll get to do… Contribute to month-end close by preparing journal entries, account reconciliations, and account analysis in a timely manner. Support global billing for corporate customers, and perform research on billing discrepancies. Identify and actively provide solutions for automation and process improvement while ensuring daily responsibilities are completed with detail, accuracy, and timeliness. Support audit activities by maintaining and improving SOX compliance for accounting functions and participating in SOX documentation and testing. Partner with Accounting, Engineering, and Finance stakeholders across the globe to support system implementations and improvements across ERP, billing and revenue systems. Your experience should include… 3-5 years of relevant accounting experience. Bachelor’s degree or equivalent experience in Accounting, Finance, or a related field. Foundational understanding of accounting theory, knowledge of US GAAP and willingnes

As a Software Engineer on the Firmware team, you will own the software integration, performance, optimization, and debugging of our TCU (Telematics Control Unit). Managing a complex architecture that integrates third-party hardware with our autonomous vehicle platform, you will analyze diagnostics and log outputs across cellular networks, 4G/5G modems, internal software layers, Wi-Fi, and Bluetooth. You will not only reactively troubleshoot complex field issues but also proactively architect and develop robust host-side connectivity software to handle cellular edge cases and vulnerabilities before they impact operations. Your work will directly safeguard the safety, reliability, and scaling of the Zoox autonomous fleet. Robust, low-latency connectivity is fundamental to autonomous vehicle deployment, powering essential real-time cloud services, fleet management pipelines, and teleoperation capabilities. By ensuring our vehicles maintain seamless, high-performance connections under the most demanding real-world conditions, you will bridge the gap between cutting-edge hardware, cloud infrastructure, and test systems to enable Zoox to deliver the future of autonomous mobility. You will leverage a profound understanding of how these stacks operate to define the architecture, utilize vendor interfaces, and debug complex cross-layer issues. Responsibilities Contribute and Develop: Contribute to Zoox's firmware and cellular wireless connectivity stack (LTE/5G), developing and enhancing connectivity features across multiple generations of hardware. Vendor Integration: Act as the primary technical expert working with cellular chipset vendors (e.g., Qualcomm) to integrate their proprietary firmware, SW stacks, and L1-L3 implementations into our custom embedded Linux platform. Architecture Definition: Define, architect, and validate the critical software interfaces betw

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: Join our FDE team and work directly with some of the world's largest organizations to turn their most ambitious ideas into production applications on Replit. As a Forward Deployed Engineer, you'll partner closely with customers to understand their technical and business needs, architect solutions, and build the integrations and applications required to deploy Replit successfully within complex enterprise environments. This is a deeply technical and hands-on role. You won’t just advise customers on what to build—you’ll build alongside them. You’ll take applications from initial idea and prototype through deployment and production, navigate complex enterprise environments, and solve the technical challenges that emerge when AI-powered software development meets real-world infrastructure, data, security, and organizational constraints. You will: Build with Customers: Embed with strategic enterprise customers to design and build high-impact applications and AI-powered workflows on Replit, taking projects from initial concept through production deployment. Architect Enterprise Solutions: Design secure, scalable architectures that connect Replit with customers’ existing systems, data, APIs, identity providers, and infrastructure. Integrate with the customer's stack: SSO, data warehouses, internal APIs, and SaaS systems. Own Technical Deployments: Serve as the technical owner for complex enterprise implementations, identifying blockers, debugging issues, and driving projects through to successful production adoption. Bridge Customers and Product: Develop a deep understanding of how enterprises use Replit and translate field insights, technical constraints, and recurring customer needs into actionable feedback

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them. Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled. Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem. Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself. Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships. Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve. Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Job Overview: We are looking for a Senior Engineer to join the FGA Developer Tooling team and help evolve our end to end developer experience across both OSS and SaaS. This team owns the SDKs in Go, JavaScript, .NET, Python, Java and other languages, along with CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions. Our guiding principle is One developer experience, many deployment models. As a Senior Engineer, you will take ownership of significant portions of the SDK and tooling ecosystem, ensure high quality implementations across languages, and contribute to a consistent and reliable developer experience. <h2 id="Responsibilities

RDQ327R182 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Are you a Developer Advocate who thrives in the spotlight, loves presenting and hosting events, and is genuinely hands-on with agentic developer tooling — the kind of person who has already wired up three coding agents and has opinions about what breaks? As a Senior Developer Advocate for Omnigent, you'll be a vital bridge between our engineering teams and the open source community forming around Omnigent, our meta-harness for AI agents. Omnigent sits one level above harnesses like Claude Code, Codex, Cursor, and Pi, giving developers a common interface to compose agents, govern them with contextual policies, sandboxing, and cost controls, and collaborate on live sessions from any device. Your focus is squarely on the open source project and the community around it: templates, demos, and reference implementations that developers can clone, fork, and extend, and the contributors who will help the project grow beyond us. This is a build-the-community role. Omnigent is early, and the people who adopt it now will shape what it becomes. You'll help developers integrate it into their own stacks, make it easy for new contributors to land their first pull request, and create the kind of momentum where the project's best advocates are people who don't work here. Your responsibilities will encompass a wide range of knowledge-sharing activities. You'll deliver engaging talks, host panels and meetups, create blogs

RDQ327R182 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Are you a Developer Advocate who thrives in the spotlight, loves presenting and hosting events, and is genuinely hands-on with agentic developer tooling — the kind of person who has already wired up three coding agents and has opinions about what breaks? As a Senior Developer Advocate for Omnigent, you'll be a vital bridge between our engineering teams and the open source community forming around Omnigent, our meta-harness for AI agents. Omnigent sits one level above harnesses like Claude Code, Codex, Cursor, and Pi, giving developers a common interface to compose agents, govern them with contextual policies, sandboxing, and cost controls, and collaborate on live sessions from any device. Your focus is squarely on the open source project and the community around it: templates, demos, and reference implementations that developers can clone, fork, and extend, and the contributors who will help the project grow beyond us. This is a build-the-community role. Omnigent is early, and the people who adopt it now will shape what it becomes. You'll help developers integrate it into their own stacks, make it easy for new contributors to land their first pull request, and create the kind of momentum where the project's best advocates are people who don't work here. Your responsibilities will encompass a wide range of knowledge-sharing activities. You'll deliver engaging talks, host panels and meetups, create blogs

RDQ427R542 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Are you the person who is already at every AI meetup in the Bay Area — not to be seen, but because that's where the interesting conversations are happening? Are you a hands-on practitioner in generative AI, agents, and MLOps who can hold your own in a room full of AI engineers and leave them with something they can actually use? As a Senior Developer Advocate for AI and Machine Learning, you'll be the voice of Databricks in the Bay Area AI community and a crucial link between our engineering teams and the global community of data scientists and AI engineers. You'll focus on how practitioners build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform — with particular depth in Genie Agents, Genie Code, Genie One, MLflow, and Databricks Unity AI Gateway. You'll translate what you learn from customers and the community into reference implementations, demos, and content that are production-ready rather than merely impressive on stage. This is a role for someone who wants to be in the room. San Francisco and the wider Bay Area are the densest concentration of AI practitioners in the world, and we want Databricks to be present and useful in that community — at meetups, hack nights, demo nights, founder dinners, and the hallway conversations around them. You'll build genuine relationships with the people building the future of AI here, and you'll bring what you hear back to our pro

RDQ427R542 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Are you the person who is already at every AI meetup in the Bay Area — not to be seen, but because that's where the interesting conversations are happening? Are you a hands-on practitioner in generative AI, agents, and MLOps who can hold your own in a room full of AI engineers and leave them with something they can actually use? As a Senior Developer Advocate for AI and Machine Learning, you'll be the voice of Databricks in the Bay Area AI community and a crucial link between our engineering teams and the global community of data scientists and AI engineers. You'll focus on how practitioners build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform — with particular depth in Genie Agents, Genie Code, Genie One, MLflow, and Databricks Unity AI Gateway. You'll translate what you learn from customers and the community into reference implementations, demos, and content that are production-ready rather than merely impressive on stage. This is a role for someone who wants to be in the room. San Francisco and the wider Bay Area are the densest concentration of AI practitioners in the world, and we want Databricks to be present and useful in that community — at meetups, hack nights, demo nights, founder dinners, and the hallway conversations around them. You'll build genuine relationships with the people building the future of AI here, and you'll bring what you hear back to our pro

Perplexity is looking for a frontend engineer to build the design system behind every Perplexity product. It is the component library and design language shared across web, iOS, Android, macOS, and Windows – the primitives, tokens, and interaction patterns that every product team builds on top of. Its users are internal, spanning product teams and a broad range of contributors across the company. The components you build become the foundation all of them rely on. You will develop component APIs that hold up across dozens of consuming surfaces and are easy for other teams to adopt correctly, contribute to the token pipeline that keeps five platforms visually consistent, and maintain a high bar for interaction quality and accessibility. Tech Stack: React · TypeScript · CSS · Design Tokens What you'll do Design and build core primitives – overlays, inputs, navigation, feedback – with APIs that stay coherent as consumers multiply Work across the design-token pipeline – authoring, generation, and per-platform publishing across web, iOS, Android, macOS, and Windows Partner directly with design on the design language itself, translating Figma systems into typed, testable, documented components Migrate product surfaces off bespoke implementations onto shared primitives without breaking them Build accessible components by default – keyboard, focus, contrast, screen readers – backed by automated coverage Support consuming teams through docs, visual regression coverage, and on-call rotation What we're looking for 4+ years building production frontend; experience with a design system, component library, or shared UI platform is a plus Interest in building reusable components Strong React and TypeScript, and CSS Working accessibility knowledge (WCAG, ARIA patterns, assistive tech) Comfort collaborating closely with designers on the visual and interaction language

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! What you’ll do: Partner and consult with business stakeholders to identify and define requirements, design and build complex, performant business-critical solutions Configure and optimize core Service Cloud features, including Omni-Channel, Lightning Service Console, Case Management, Entitlements, Milestones, Salesforce Knowledge and Experience Cloud. Architect and build robust, highly scalable integrations between Salesforce and complex third-party enterprise systems (e.g., CTI/telephony systems, Jira & other external systems). Collaborate closely with our US-based team, ensuring a few hours of overlap with Pacific Standard Time (PST) to facilitate seamless communication and project coordination. Drive defining, estimating, and shaping technical approaches/solutions using best practices Customize the Salesforce platform using declarative and coded approaches including Lightning Pages, Flow Builder, APEX triggers and classes, and Lightning Components Develop and execute integration strategies to connect Salesforce with various systems, applications, and data sources, ensuring seamless data flow and business process automation Monitor, troubleshoot and resolve issues promptly, improve performance, and enhance the overall user experience Author and maintain documentation of implementations and integration configurations, protocols, and best practices, and provide training and support to end-users and stakeholders This role requires : Bachelor's Degree in Computer Scie

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. Drive customer impact by designing, implementing,

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Staff AI Security Engineer Opportunity Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. At Okta, we’re building the future of secure, enterprise-grade AI Agents. We’re looking for a Staff AI Security Engineer to join our dedicated Security team. In this role, you will define the technical vision, architecture, and hands-on security controls for AI models, agentic workflows, and autonomous systems across Okta. This is a senior individual contributor role for a hands-on engineer who can design scalable AI security infrastructure, mentor engineers, and partner with cross-functional teams to build secure "paved roads" for AI innovation. What you’ll be doing Secure AI Implementations: Design and deploy enterprise AI guardrails, gateways, and other controls to protect our agentic workflows from emerging threats Agent Hardening & Sandboxing: Establish security architectures for local and hosted agents to mitigate tool-calling, prompt injection, goal misalignment, and data exfiltration risks. Define Paved Roads & Secur