Staff Tooling Engineer Jobs

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . About the Team The NPI and Product Operations team sits at the center of innovation and execution at Druva. We act as the operational engine for Product Management, Engineering, Go-To-Market (GTM), Finance, and Business Systems. We own how product initiatives, pricing and SKU implementations, and technical alliances are planned, sequenced, and launched, working across global teams. Role Purpose & Impact We are seeking a Staff Program Manager, NPI & Product Operations to be an accountable owner for getting Druva’s product launches, pricing rollouts, and technical alliance integrations delivered on time, end-to-end. You are the person leadership turns to for a straight answer on whether a launch will land on its committed date. You will run launches end to end: define the plan and the critical path, drive the decisions and tradeoffs that protect the date, resolve conflicts between teams with competing priorities, and hold the full cross-functional group to a single sequenced launch roadmap. You will operate across Product, Engineering, GTM, Finance, and Business Systems. Where automation or AI tooling measurably

About the Role: We're hiring Senior and Staff Data Platform Engineers to join the Data Infrastructure teams in Toronto. Together these teams own the infrastructure that processes billions of events per day: Spark-on-Kubernetes, Flink and Kinesis pipelines, a multi-petabyte Delta Lake, a large-scale MemoryDB feature store, Databricks multi-environment operations, and the catalog and lifecycle systems that govern it. The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production. This is a hybrid-role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Spark-on-Kubernetes — EKS-based compute platform for Spark workloads: cluster configuration, Pod Identity IAM, job environment setup, Kustomize overlays, and shadow canary validation Event ingestion — Rust services and Flink jobs processing billions of events per day over Kinesis; throughput, reliability, on-call response, and AI-assisted operational tooling to reduce toil Platform infrastructure — Terraform modules for environment provisioning, cross-account AWS IAM, ARC runner infrastructure, and CI/CD for data platform changes Feature store and ML compute — Flink-based real-time feature pipelines feeding a large-scale MemoryDB cluster; GPU capacity governance and Databricks multi-environment operations for ML training workloads Workflow orchestration and CDC — Airflow-based DAG deployment, change data capture pipeline operations, and data quality monitoring Your Background: 3+ years building and operating production data platform infrastructure at the cluster or platform level, across Spark, Flink, Kinesis, Kubernetes, or equivalent Deep experience in at least one of: Spark-on-K8s cluster operations, Rust-based data or systems engineering, Kubernetes platform engineering and IaC, or data catalog and governance tooling Production AWS experience or equivalent: EKS, S3, Kinesis, and mu

Salary Range: (Determined during interview process, based on technical fit for each level of role) Staff Engineer - PLN 350,700 - 474,400 + Benefits + Equity Senior Engineer - PLN 260,400 - 352,200 + Benefits + Equity Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Hybrid Working Policy - 3 Days per week in office About the job Explore how a next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will turn complex system behaviour into measurable evidence. You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn uncertainty into new measurements. Your work will help infrastructure engineers, architects and application specialists understand performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics. You do not need to be an AI expert. You will need strong judgement, a clear preference for evidence over opinion and a desire to explore complex systems beyond the obvious. The team and culture The System QA team is distributed across multiple locations so we work deliberately to stay connected. Daily team meetings create space to share ideas, ask questions, discuss findings and solve problems together. You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other. Decisions are guided by evidence, clear communication and a willingness to challenge assumptions. Your manager will trust you to follow the evidence w

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. As a Product Manager on the AI & Data Foundations team, you will build the shared platforms that power Plaid’s AI and data capabilities. This is early-stage, hands-on work: you’ll partner with data, ML, and platform engineers to take capabilities from 0→1 and scale them into infrastructure that is accessible, reliable, and easy to use across Plaid. Your scope will span our AI platform (e.g., LLM gateway, eval infrastructure), our data platform (e.g., Databricks, AI-powered data tooling), and the systems connecting the two. This role is for an experienced platform PM who is excited about the rapidly evolving intersection of data infrastructure and AI. You are technically fluent, strategic, and execution-oriented, and know how to turn emerging capabilities into reliable platforms, primitives, and tools that other teams can build on. Responsibilities AI & Data Foundations Strategy: Define the vision, roadmap, and success metrics for the shared platforms that power data and AI development across Plaid. Platform Development : Partner with data, ML, and platform engineers to design and ship foundational capabilities spanning AI infrastructure, developer tooling, data platforms,

About the Role Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll partner with Staff engineers and product teams to make Kubernetes effortless across the engineering org, building self-service automation and scalable AWS infrastructure that lets product teams ship faster, safer, and with less cognitive load. If you're excited about building the systems that other engineers will rely on every day, this role is for you. Key Responsibilities Lead high-impact platform projects — design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices. Build the AI-augmented platform. Design tooling and workflows that help engineers get more out of AI-assisted development — think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written. Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — and make it consumable enough that an LLM can safely PR against it. Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to make deploys faster, safer, and easier to reason about. Instrument and operate. Drive observability with Datadog and Amplitude, own dashboards and SLOs, and use the data to push reliability forward. Participate in on-call, lead incident response when needed, and turn postmortems into durable platform improvements. Reduce toil and tech debt with pragmatic remediation

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Location: Europe remote or London hybrid About the role: As our engineering and research organisation grows, so does the complexity of securing it. Our Application Security team is at the forefront of that challenge — building AI-native security tooling, embedding security into the development lifecycle at scale, and finding ways to make a small, highly capable team punch well above its weight. We're looking for an Engineering Manager to lead and grow the AppSec team. This is not a coordination role. You'll be leading a team of exceptionally senior and staff-level engineers who are deeply self-directed and technically excellent. To earn their trust and enable their best work, you'll need to be genuinely close to the craft — able to engage at depth on threat modelling, agentic security tooling, SDLC design, and application risk. You'll also own AppSec strategy and be accountable for how the function scales alongside a product organisation that is growing fast and leaning heavily into AI-assisted development. Important note: Anyone working as a manager within the Infosec team will need to follow the Infosec Team Management Tenets . Key Responsibilities: Lead, support, enable and grow the AppSec team — owning hirin

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Sail Core builds Stripe's frontend platform—the data layer, navigation, observability, and developer tooling that 50+ product teams use to ship web applications, with the Dashboard being the largest. We are responsible for enabling a stellar developer experience for frontend engineers at Stripe. We're hiring a deeply technical product manager to own the platform strategy, drive cross-company modernization initiatives, and set the standard for frontend excellence at Stripe. What you'll do How should a platform team decide what to build when 50 teams depend on you and each one thinks their request is the most urgent? When do you invest in long-term architectural health versus shipping the migration that unblocks next quarter's goal? How do you make 9,000 files at initialization become a fast, traceable, joyful developer experience—without breaking production for millions of merchants along the way? Responsibilities Own the product strategy and roadmap for Stripe's frontend platform Drive the largest frontend modernization initiative at Stripe while holding the line on architectural quality Redefine frontend development with agentic tooling Define and track key metrics such as latency, build times, and reliability SLOs to make difficult trade-off decisions Be the product voice in deeply technical decisions such as API surface design, framework deprecation sequencing, extraction boundaries, and migration tooling Who you are You think in systems,

As a CNC Programmer at Zoox, you'll interface with a broad range of Engineers and Craftspeople to build hardware systems for our Vehicle, Compute, Sensor, and testing fleets. Core values include a positive outlook, good interpersonal skills, and a desire to affect a company genuinely trying to change the world. Familiarity with names like Hermle, DMG Mori, Siemens, Heidenhain, Lang, Haimer, and Robotic Solutions will give you a head start at Zoox. Your experience in a professional and well-equipped CNC shop and positive outlook in a team environment will serve equally well on the path to success. Our team encompasses everything from prototyping to manufacturing operations. Career growth will be at your disposal. We serve an entire company and often volunteer to step outside our disciplines to help all who ask. If this sounds like the position you're looking for, we look forward to meeting you. In this role, you will: Manufacture parts from one-off prototypes to short-run production in a variety of materials Program 5-axis CNC machines using HyperMILL Design and machining of fixtures to hold components during machining operations Setup and teardown of CNC machines Interface with people across the company to acquire the correct set of data needed to make components Assist in ordering materials and tools for the machine shop Develop and maintaining digital tooling and work holding databases Work with engineering teams to provide DFM feedback for machined components Qualifications Extensive experience as a 5-axis CNC mill machinist 10+ years of experience as a CNC programmer using state-of-the-art CAM systems with 3D simulation and collision detection capabilities Familiarity with Heidenhain and Siemens CNC controls Strong CAD skills <p

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We’re looking for a Staff Product Designer (Motion) to join our Studio Central team London team. In this role, you’ll lead the shift toward build-first motion design, establishing principles and systems that elevate craft and expression across our global product surfaces. What You’ll Be Doing You’ll be joining the Studio Central team. Studio Central is a net-new global Product Design team sitting at the intersection of product, brand, and innovation, supporting Deliveroo, DoorDash, Wolt, and 7Rooms. We own how brand shows up in the product experience, partnering closely with Marketing and Product teams to shape cohesive, high-quality work and define the future state of design across our portfolio. Here’s what your day-to-day might look like: Strategy, Systems & Influence Define the point of view and motion principles for how branded moments behave across products, elevating customer, rider, and merchant experiences. Build reusable motion systems, expression frameworks, animated component libraries, and AI-assisted tooling to empower designers across all brands to ship high-quality motion independently. Establish motion as a core discipline within Studio Central, creating the rituals, crits, and guidelines required to scale the capability past a si

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together, designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're hiring a Member of Technical Staff (Application Security Engineer) to own the security of the software Hark ships. You'll review design and code, find and fix vulnerabilities in our backend services, mobile apps, and third-party integrations, and build the guardrails that let engineers move fast without shipping bugs. Our agents act on behalf of users across their apps and data, so you'll also be defining how to secure LLM and agent systems, a space with very few established playbooks. This role is hands-on; you'll be reading code, writing fixes, and building tooling, not managing or auditing. Responsibilities Threat-model new features and services, with a focus on agent/LLM attack surfaces (prompt injection, tool misuse, data exfiltration, cross-tenant access). Review code and designs for Hark's backend services (primarily Go), APIs, and mobile apps; fix vulnerabilities directly when it's faster than filing a ticket. Secure authentication, authorization, and session handling across our consumer product, including OAuth integrations with third-party platforms. Build and tune SAST, dependency, and secrets scanning in CI so findings are high-signal and developers actually act on them. Triage and remediate findings from pentests and our

Zoox is seeking a Senior / Staff Technical Program Manager, Change Governance to own the end-to-end orchestration of product changes as they move from tentative engineering approval through cross-functional review to implementation on the production line. This role sits at the center of a multidisciplinary process, ensuring every change is tracked, properly vetted, and executed with full governance and traceability at each stage. In this job, you will Serve as the single point of accountability for governance of a change from tentative Engineering approval through multidisciplinary alignment across Engineering, Manufacturing, Quality, Purchasing, Supply Chain, and Logistics to production-line implementation. Assess and manage how a change cascades through multi-tier supply chain dependencies, coordinating supplier qualification and launch-readiness requirements as needed Partner with production-line teams at Zoox and relevant change management functions at suppliers to plan and confirm implementation readiness: timing, resourcing, build sequencing, documentation, and training. Maintain accurate, audit-ready records of change status, approvals, and decisions in relevant change management, ERP, and PLM systems. Build and maintain reporting and dashboards on change pipeline health, using scripts (e.g., Python, Apps Script, VBA) or AI tools to automate recurring data retrieval and reporting across Excel, Google Sheets, and Jira. Own and continuously improve the governance framework and checklist — required approvals, documentation, and gate criteria — partnering with IT/business systems teams to implement process and tooling improvements. Qualifications Bachelor's degree in Mechanical, Electrical, Industrial, Manufacturing Engineering, or a closely related engineering discipline <l

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking a Staff Design Program Manager for the Global Growth organization. Design Foundations is the infrastructure layer of Lyft's design organization — the systems, standards, and processes that every product team depends on. This role sits at the center of that work, owning program management across Product Design, UXR, Content Design, and AI tooling. Design Program Managers are strategic partners with design leads, leading and driving the design work forward everyday. You will work across teams to shepherd and manage the delivery of design and customer experiences to completion. You’re a strong strategic thinker, you can execute the small tasks well, and you take a creative approach to operational challenges. You’re savvy at connecting the dots, and being a trusted partner to cross functional peers at Lyft. You’ll be a leader within the design organization and an advocate for the Design+ team and the design process. Responsibilities: Own roadmap and execution for projects end-to-end Drive program management for the Global Growth design team Shape and document workflows and processes that make the team faster and more effective Partner with design, engineering, marketing, legal, and product to scope work, set timelines, and manage delivery Build and maintain visibility into project health, team utilization, and priorities for design leadership Lead planning and prioritization across cross-functional teams — balancing competing inputs without losing sight of the goal Facilitate design reviews, retros, and planning sessions Bring AI fluency to program management work — use tools like Figma, Jira, and AI assistants to accelerate your own workflow, and help the team adopt new tools effectively Experience: 7+ years in design program management, product design, or a relevant design industry role

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking a Staff Design Program Manager for the Global Growth organization. Design Foundations is the infrastructure layer of Lyft's design organization — the systems, standards, and processes that every product team depends on. This role sits at the center of that work, owning program management across Product Design, UXR, Content Design, and AI tooling. Design Program Managers are strategic partners with design leads, leading and driving the design work forward everyday. You will work across teams to shepherd and manage the delivery of design and customer experiences to completion. You’re a strong strategic thinker, you can execute the small tasks well, and you take a creative approach to operational challenges. You’re savvy at connecting the dots, and being a trusted partner to cross functional peers at Lyft. You’ll be a leader within the design organization and an advocate for the Design+ team and the design process. Responsibilities: Own roadmap and execution for projects end-to-end Drive program management for the Global Growth design team Shape and document workflows and processes that make the team faster and more effective Partner with design, engineering, marketing, legal, and product to scope work, set timelines, and manage delivery Build and maintain visibility into project health, team utilization, and priorities for design leadership Lead planning and prioritization across cross-functional teams — balancing competing inputs without losing sight of the goal Facilitate design reviews, retros, and planning sessions Bring AI fluency to program management work — use tools like Figma, Jira, and AI assistants to accelerate your own workflow, and help the team adopt new tools effectively Experience: 7+ years in design program management, product design, or a relevant design industry role

About BlueConic: We are building products with AI at the core, and we build our products using AI. Agents and skills write a share of our code, run parts of our SDLC, and operate alongside our engineers every day. We need a Staff Security Engineer who can secure that reality, not the SDLC of five years ago. In conjunction with the CISO you represent security across the product development lifecycle, lead threat modeling and vulnerability management, and drive secure coding practices in an environment where code review means reviewing agent output as often as human output. You will use AI agents and skills as core tools of your own job: building automation, running threat models, triaging vulnerabilities, and scaling your impact across teams. Lead Security Engineer What you'll do Drive adoption of secure coding practices, including practices specific to AI-generated and AI-assisted code. Conduct security assessments, threat modeling, and risk analysis so threats are understood, documented, and mitigated. Automate security processes wherever it creates leverage, using scripts, AI agents, and AI skills as your default tools. Identify emerging classes of vulnerabilities and build solutions before they become incidents. Build and maintain security tooling, automation, and monitoring capabilities, including custom agents and skills for security workflows Threat model agentic systems: prompt injection, tool misuse, unauthorized agent privilege escalation, and data exfiltration through agent actions. Define guardrails and human-in-the-loop checkpoints for agent-driven changes to code and infrastructure. Set and enforce review standards for code produced by AI coding agents, including required checks before agent-authored changes reach production. Break large, cross-team security projects into individual tasks. Manage scope across teams and drive projects to closure. Monitor, investigate, and respond to security incidents, coordinating remediation across teams. S

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams