Lead Software Development Engineer Ii Data Jobs

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 . Responsibilities: Design and develop control‑plane and system services for a firewall platform, operating above the networking dataplane (OSI Layer 3+). Build and maintain management interfaces and APIs , including configuration frameworks, CLI, secure access (SSH), logging, and diagnostics. Implement security services such as authentication (SAML), guest access, SSL/TLS handling, and certificate lifecycle management . Develop embedded services for content filtering , including URL categorization, reputation, and rating systems, along with SNMP/telemetry support. Lead efforts in licensing systems , vulnerability remediation, and secure architecture in collaboration with cross‑functional teams. Requirements: 8+ years of experience in C/C++ systems development for embedded platforms, security appliances, or network operating systems. Strong hands‑on expertise with configuration frameworks, service APIs, CLI development, logging systems, and secure remote access (SSH) . Solid understanding of L3–L7 networking and security concepts , including SSL/TLS, authentication, identity federation, and PKI. Experience with certificate management, license enforcement fra

RDQ427R463 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems—from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Genie One is building the AI coworker for business users: a trusted, governed way to ask questions of enterprise data, explore insights, and take action in the flow of work. Our team brings that experience to users wherever they are—across the web, mobile, and desktop applications—so a field employee, executive, or knowledge worker can move from question to insight without being constrained by a browser or a desk. As a Staff Software Engineer on the Genie One Mobile & Desktop team, you will define and deliver the technical foundations for this multi-surface experience. You will work at the intersection of Web UI, Mobile, Desktop, shared frontend infrastructure, and enterprise-grade authentication and governance. This is an opportunity to shape a product and an architecture that are still evolving rapidly: deciding what should be shared, what should be platform-specific, and how to keep the whole system coherent as new capabilities arrive. The impact you will have Set the technical direction for Genie One across web, native mobile, and desktop. Lead the delivery of customer-facing experiences on iOS, Android, macOS, and Windows, balancing web feature parity with native capabilities such as notifications, background activity, multi-window workflows, deep links, and local-file interactions. Shape and execute the long-term product and engineering strategy for Genie One Mobile & Desktop. Build reusable cross-surface primitives, contracts, and patterns with shared product capabilities Make the hybrid codebase easier to evolve by improving boundaries between web views, native shells, pl

Location(s): Canada (Remote - East Coast preferred) Bready * to make a change? 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. Toast is driven to build a platform that helps our customers adapt, take control, and get back to what they do best: building the businesses they love. 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 market share. Integration partnerships are a key part of our strategy to ensure that restaurants of all sizes can retain the parts of their tech stack outside of the Toast platform. This role is for a current vacancy. Who We Are Supporting customers software partners is a key part of international expansion strategy, and the advent of AI powered coding tools provided the opportunity to significantly reduce the development effort required to integrate with a partner. We are looking for a principal engineer to lead the development of this new way of integrating partners, while also providing additional technical leadership across our International expansion efforts. This is an exciting opportunity to develop new AI powered development systems that will provide direct impact for our customers. A day in the life (Responsibilities) 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. Lead fellow developers, product managers, designers, and user researchers to build a strong tech infrastructure that enables scalably integration of key customer software partners. Architect, create and maintain an AI harness for the rapid integration and maintenance of partners with Toast’s systems Define and drive technical strategy for problem

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Enterprises spend more than $700 billion on digital advertising, however for the most part, they have very little data & intelligence on how their campaigns are performing. Reconciling that is slow, manual, and mostly wrong, and optimizing those campaigns historically has involved humans and agencies. We are building the data and agent layer underneath that problem, and we are looking for an engineer to help lead that effort. The impact you'll have: Lead the ingest and normalization path for advertising platform data at scale, including rate limits, schema drift, backfills, and restated numbers Design the aggregation and identity layers that make figures from different platforms comparable Lead development of agentic workflows that parse performance data, interpret it, present it, and act on it Set the correctness and evaluation bar in a domain where ground truth is noisy and partially observable Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth What we look for: 10+ years of engineering experience, including time as a tech lead or leading other tech leads, on complex enterprise software projects Hands-on experience with walled garden advertising APIs (Meta, Google, Amazon, TikTok) or the equivalent from

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. CRM is where revenue teams record their work, however they generally lack a solid intelligence layer. Objects are customized past recognition, history is incomplete, and reps route around whatever slows them down. As a result, the sales intelligence layer increasingly lives in a Data+AI platform. We are looking to productize with data & agents what our customers have been already manually building in our platform. The impact you'll have: Lead the modeling of sales/CRM objects, relationships, and history into a representation agents can reason over reliably Lead development of agents used by reps, sales management, and revenue operations Define the write path back into the system of record: permissions, validation, idempotency, audit, and human approval Help define & lead the implementation of the initial use cases on top of the data & agents Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency What we look for: 10+ years of engineering experience, including time as a tech lead, or leading other tech leads, on complex enterprise software

P-211 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. We are hiring a Staff Software Engineer for the Access Management team at Databricks, based in Bellevue, WA. Access Management owns the access-gating systems at the core of the Databricks platform – the services that decide, for every user, application, and automated workload, what they are permitted to do. You will set technical direction for the Bellevue engineers and partner with our Mountain View technical lead on a team distributed across both sites. What you'll work on : Evolving the platform's core authorization service – the system is on the critical path of every access-control decision. Migrating and consolidating permission-checking across the platform onto a unified authorization model. Building fine-grained access controls: scoped service identities, delegated access, and role-based access control. Network ingress access policy for customer resources. Raising the availability and reliability o

About the Role: As a Senior Software Engineer at K Health, you are the champion of technical excellence for a high-stakes portfolio of clinical AI and a suite of products that serve the patients and the physicians. We don't just build apps; we build, and operate modern, AI-powered, 24/7 virtual clinics for the nation’s largest health systems. In this role, your mission is to architect a product ecosystem where reliability, privacy, and performance are non-negotiable. You will lead the development of reusable components and resilient architectures that exude trust, ensuring that every patient interaction is seamless and every clinical data point is secure. You will be a "multiplier," creating the foundational frameworks that allow us to deploy 5-star experiences across a portfolio of partners without sacrificing the quality our users depend on. This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support. What you will do: Architect for Trust: Design and drive a unified product engineering strategy that supports a portfolio of products and solutions, prioritizing modularity, reusability, and extreme resiliency. Full-Stack Ownership: Own the end-to-end lifecycle of products and features, from multi-platform clients, to the Kotlin/JVM-based backend services that power them. Quality as a Feature: Define and enforce standards for high-stakes engineering—ensuring that performance, accessibility, and data privacy are baked into the architecture, not added as afterthoughts. Platform Innovation: Proactively modernize our systems to leverage agentic AI tools that improve developer productivity and team efficiency. Platform Evolution: Build and maintain the shared libraries and DSLs that enable rapid, high-quality deployments for our health system partners. Technical Stewardship: Act as a stabilizing force in complex technical situations, bringing clarity to ambiguous requirements and making informed decisions that

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can turn deep data insights into better business outcomes. We are the Spark Structured Streaming team, responsible for building stream processing into Apache Spark and the Databricks Data Intelligence Platform. Stream processing is still in its early days, and we're here to build not only state-of-the-art streaming technology but also a best-in-class managed offering for customers to run their streaming workloads. The role We're seeking an experienced Staff Engineer to drive the technical direction of Spark Structured Streaming, spanning both open source and Databricks-specific components. Your mission is to make Spark Structured Streaming the state-of-the-art stream processing engine — adding advanced capabilities such as sophisticated state management and new operators, while re-imagining the engine's architecture to drive improvements for latency, throughput, and cost. What you'll do: Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform Design and build core engine capabilities — state management, new operators, and architectural improvements to latency and throughput Raise the bar for engineering quality and operability, building software that is not just high quality but easy to run in production Make company-wide impact by driving stream processing adoption across the Databricks product portfolio Guide long-term architecture and technical-debt decisions, balancing them against the product roadmap Mentor and technically lead engineers on the team, and partner with the Engineering Manager to attract and grow top-tier talent What we look for: BS (or higher) in Computer Science

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the Role Build the software platform that connects kitchen teams, cloud services, and robotic production systems. As a Staff Full-Stack Software Engineer, you will own significant product and technical areas from definition through production. You will work across frontend, backend, cloud infrastructure, integrations, and robot-adjacent interfaces. You will partner closely with product, culinary, operations, robotics, firmware and mechanical teams to turn ambiguous operational problems into reliable software. We are looking for someone who remains deeply hands-on while providing technical leadership like shaping architecture, raising engineering quality, mentoring others, and helping the Los Angeles team scale. What you'll do Own and deliver complex full-stack initiatives spanning user interfaces, backend services, cloud infrastructure, and external integrations. Lead technical design and architecture for new capabilities, balancing speed, reliability, maintainability, and operational simplicity. Partner directly with product, culinary, and operations teams to understand workflows, clarify requirements, and define pragmatic solutions. Build software for configuring, observing, and managing kitchen operations, including order intake, menus, recipes, tasks, alerts, and performance visibility. Integrate with delivery and commerce platforms to receive orders, synchronize menus, and communicate order state. Create and integrate operator-facing and robot-adjacent interfaces used in physical

The Developer Experience (DX) team at Amplitude builds and maintains the foundations that power how developers integrate, extend, and trust Amplitude across platforms. Our mission is to make Amplitude’s SDKs reliable, easy to adopt, and a joy to build on, so customers can confidently instrument their products and unlock insights at scale. We’re looking for a Staff Software Engineer, iOS to play a key technical leadership role on our DevEx team. In this role, you will lead the design and development of Amplitude’s core iOS SDKs, including Analytics and Session Replay , and serve as the iOS platform expert that other SDK teams, such as Statsig, Guides, and Surveys rely on. As a Staff Engineer, you’ll operate with a wide scope and high impact: setting technical direction for the iOS platform, driving cross-SDK architecture, improving performance and reliability, and raising the bar for developer experience across Amplitude’s mobile ecosystem. As a Staff Software Engineer, you will: Lead the technical direction, architecture, and long-term evolution of Amplitude’s iOS SDK platform. Own and drive development of core iOS SDKs, including Analytics and Session Replay, with a strong focus on performance, reliability, and ease of use. Act as the iOS platform expert and trusted partner for other SDK teams (Experiment, Guides, Surveys), enabling them to build on shared foundations safely and efficiently. Design and evolve shared infrastructure, APIs, and abstractions that scale across multiple iOS SDKs. Collaborate closely with Product, and Customer Support to ensure SDKs meet real customer needs. Lead cross-team technical discussions, reviews, and architectural decisions that span multiple SDKs. Improve developer experience through better APIs, documentation, tooling, testing strategies, and sample apps. Mentor senior and mid-level engineers, raising the overall quality and effectiveness of the team. You'll be a great addition to the team if you have: A strong focus on develop

Location: Mumbai, India (Andheri East) Description: We’re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The role We’re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You’ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we’d love to hear from you. Behaviours that we look for Solve problems rigorously , not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early , automating meaningful tests and implementing relevant metri

P-1563 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. About the Team We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We are looking for engineers to help us engineer systems that optimize our footprint as we scale into the hundreds of millions of dollars in cloud spend. The Role As a Senior Software Engineer, you will own the end-to-end design and delivery of high-impact engineering projects. You will act as a primary owner of key system components, handling technical ambiguity, collaborating with stakeholders, and delivering robust, scalable solutions. Your work will directly impact our infrastructure margins by building the next generation of cost attribution, automated resource management, and efficiency tooling. The impact you will have End-to-End System Design : Lead projects from concept to deployment. You will design and build scalable systems that handle high-volume data streams

P-1563 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. About the Team We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We aren't just cutting costs; we are engineering systems to scale efficiently as our cloud footprint expands into the hundreds of millions of dollars. The Role As a Staff Software Engineer, you will serve as the technical lead for the Bengaluru MCE chapter. You will be responsible for defining the technical strategy for efficiency projects where the solutions are not yet known. You will lead cross-functional efforts, working with finance and cost team, to tackle massive-scale engineering challenges, ensuring our systems can automatically drive cost efficiency and handle the complexity of global, multi-cloud data processing without compromising on performance or stability. As one of the founding senior engineers of the Bengaluru MCE chapter — a team that has already deliver

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,