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WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The Data Engineer is responsible for the design, development, and implementation of scalable data solutions across the Azure Databricks platform supporting AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics to execute technical scoping and delivery against business requirements. What you'll be doing: KRA 1 Data Pipeline Development • Design, build, test, and maintain data pipelines (ELT) using Databricks, Delta Live Tables, and Databricks Asset Bundles, according to business and technical requirements. • Manage data workflows and orchestration; ensure accuracy and availability of all ELT processes. • Design and deliver silver/gold layer data models within the medallion architecture to support downstream reporting. KRA 2 Platform & Governance • Implemen

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks . As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration. What you'll be doing: Design, build, test and maintain data pipelines (ELT), according to business and technical requirements. Implement secure platforms

Forward is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment. Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward customers realize an average of $14.2 million in annual benefits through improved efficiency and security. Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations. Forward is currently seeking experienced Java developers to work as part of our Network team. Responsibilities Help bring the best ideas from the software development world into the networking industry. Contribute to our code base, systems and software architecture as a member of our engineering team. Help create and optimize network device models for different device vendors and protocols. Help create infrastructure needed to configure, collect and test network devices. Work with peers who are experts in Networking, Distributed Systems, Big Data and Search. Requirements 5+ years of work experience in software development 3+ years of work experience with Java BS in Computer Science or related degree Solid software engineering experience with large code bases Basic understanding of networking and TCP/IP. Strong verbal and written communication skills. Nice to haves Working knowledge of how switches, routers, firewalls or load balancers work. Experience working with networking protocols such as BGP/OSPF/IS-IS, IPv4/IPv6, MPLS, VLAN, VXLAN, etc. This position is a re

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO • Build software used to support global trading across time zones • Work closely with business users to establish and refine requirements • Participate in identifying new technologies to continuously improve software systems • Implement DevOps practices within the team (GitHub/GitLab, Jenkins) • Provide production support to diagnose and resolve elevated application software production incidents and implement proactive remediation measures WHAT’S REQUIRED • Bachelor’s degree in computer science or another technical/scientific field • Minimum 8 years object-oriented programming experience with C#/.NET • Significant experience working with / understanding databases - primarily MS SQL Server • Must have experience in writing automated tests, unit tests, Test-Driven Development • Knowledge of design/architecture patterns, distributed systems, microservices, observability and monitoring, and containerization (Docker) • Willingness to work as part of a distributed Dev Team - 3 time zones (USA, Poland, India) • Strong problem solving and analytical skills • Exceptional verbal and written communication skills • Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Health care benefits • Maternity, Adoption & related leave policies • Generous paternity and family care leave policies • Employee Assistance Prog

Senior: GBP 73,500 - 99,500 Staff: GBP 97,300 - 131,700 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. About the job Build the Linux distribution foundation that turns upstream software into trusted Graphcore platform releases. You will help create the Linux distribution that powers Graphcore AI systems. The team produces production-ready system images from proven upstream distributions. Your work will shape how releases are built, validated and prepared for deployment. You will strengthen the engineering path from upstream Linux software to dependable platform releases. You will build and improve automated pipelines, run established Linux test suites, and diagnose issues across build and validation flows. As the platform evolves, you will introduce controlled configuration and tuning changes with evidence-led validation. This is hands-on systems engineering with visible impact. You will help define reliable processes for a new team building a critical part of Graphcore’s platform. The team and culture You will join one of Graphcore’s newest engineering teams, helping shape its culture from the start. It is a small, co-located team where ownership matters and progress is visible. Work happens through close technical discussion, practical problem-solving and evidence-led decisions. Ideas are challenged openly, and the best path wins regardless of hierarchy. You will report to a leader who values technical credibility and invests in people’s growth. The team moves with pace, takes responsibility and changes direction when the evidence demands it. What we're looking for Strong practical experience working in Linux environments Experience building or maintaining automated CI/CD pipelines for reliable engineering workflows Proficiency in Python, Bash or similar

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’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a Mechanical Engineer to come in and help drive the development of our newest vehicles and sustain our fleet in operation. Responsibilities: Drive design decision by collaborating with product, engineering (EE/ME/FW/SW), reliability, and systems engineering teams Lead post-launch sustaining activities intended to support a smooth transition into production while maintaining high quality standards Derive technical architecture and engineering specifications from product requirements Use analysis to support engineering designs Lead sustaining and continuous improvement projects from concept through release and into field operations Work with GSM and Manufacturing teams to vet supply chain and production partners Prototype; create quick experimental mock-ups and meticulous mechanical models Research technologies and scope development opportunities Develop CAD databases and drawing packages, and drive handoff to manufacturers Support the build and test product development cycle, travel required Test failure analysis and solution validation to complete successful product development Conduct field failure analysis and solution evaluation Lead large projects from idea to positive execution Act on feedback to learn and grow Effectively communicate across cross functional teams to achieve results Experience: BS or MS degree in Mechanical Engineering or related technical field, and 5+ years of related industry experience Experience leading the development of a feature or module of a consumer product Strong foundation in mechanical engineering fundamentals, including solid mechanics, electromagnetics, thermodynamics, and knowledge of basic engineering materials and manufacturing processes Experience in perfo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving recommendations and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering

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 a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han

Senior Low Observables (LO) Mission Systems Integration Engineer Company: The Boeing Company The Senior LO Mission Systems Integration Engineer will lead design, integration, analysis, test, and production activities for low observable materials, structures, apertures, sensors, and radomes for mission systems. The role requires strong technical leadership, independent execution of complex tasks, advanced use of computational electromagnetic (CEM) solvers, and the ability to produce and defend technical results with minimal oversight. Key Responsibilities Lead design, modeling, and analysis efforts for LO materials, coatings, structures, and integrated mission systems to meet signature reduction and performance requirements. Independently apply CEM solvers (e.g., FEKO, HFSS, CST, WIPL‑D, xFDTD, or equivalent) to model antennas, apertures, radomes, and LO treatments; perform design optimization and trade studies. Drive integration of LO treatments with mechanical, thermal, and sensor/antenna system constraints; identify and mitigate producibility, testability, and sustainment risks. Plan, execute, and oversee laboratory and field tests (anechoic chamber measurements, antenna/radome characterization, RCS measurements); lead data collection, reduction, and validation activities. Develop and validate predictive models, reconcile simulations with measurements, perform uncertainty quantification, and provide actionable recommendations to engineering and program leadership. Produce high-quality technical documentation: test plans, test reports, technical memoranda, design reviews, and customer briefings. Mentor and provide technical oversight to junior engineers and technicians; ensure adherence to engineering processes, qual

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a Technical Program Manager to own actuator development and integration from system goals through production readiness. The actuator program spans mechanical, electrical, firmware, harnessing, controls, test, reliability, manufacturing, and supply chain, and needs a TPM who can turn cross-functional decisions into clear scope, executable milestones, and timely decisions. In this role, you will help the team converge on the right technical plan, surface risks early, and deliver reliable actuator systems on schedule. This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive actuator programs end-to-end, aligning scope, milestones, interfaces, dependencies, and exit criteria across engineering teams. Drive scope lock and technical convergence for sprints, MVPs, and stretch goals while connecting component decisions to system performance. Coordinate actuator development across motors, gears, sensing, electronics, and firmware, and align the electrical and mechanical interfaces that connect actuators to the broader robot. Lead validation planning from early prototypes through engineering validation, reliability testing, and production readiness. Drive tradeoff decisions across cost, quality, performance, schedule, and lead time by collaborating cross-functionally and quantifying impact to meet program deliverables. Establish effective mechanisms for technical reviews, change control, design releases, decision tracking, and manufacturing readiness.

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta’s Developer Experience team builds the tools engineers use every day to bring ideas to production rapidly and reliably. You’ll empower other Vanta engineers to leverage cutting-edge technologies and best practices to make Vanta more performant and scalable on a platform level. Example projects include modernizing our CI/CD pipelines, introducing new test frameworks, launching AI-powered dev tools, and scaling developer environments to support a growing engineering team. This team has a wide breadth of impact across all of product engineering. The work we do compounds in value by making it easier for engineers to diagnose and solve bugs, streamline workflows, and ship value to our customers quickly and safely. Vanta engineers design and develop new product functionality and infrastructure leveraging modern frameworks and tooling, including TypeScript, React, Node.js, MongoDB, Github Actions, and various AWS services such as Fargate and ECS. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. We’d love for you to join us! You will: Set direction for critical dev infrastructure, enabling us to stay ahead of continued rapid growth Design and build CI and build systems that ensure Vanta engineers can develop and ship robust products quickly and confidently Improve the efficiency and reliability of our deployment workflows, including tools for hotfixes, rollbacks, and incident mitigation Lead development of tools that accelerate feedback loops — from typechecking and linting to running tests and deploying changes Build and maintain scalable developmen

The Team + The Role The Core team builds features and platform capabilities that power critical areas of the Pendo product experience. The team supports high-stakes customer use cases, shapes how systems evolve over time, and creates a more consistent experience across the platform. This work sits in complex product areas where delivery speed, system reliability, and long-term maintainability all matter. As a Sr. Software Engineer, you will own complex problem spaces and drive them forward independently. You will apply strong engineering judgment to ambiguous challenges, partner closely with Product and Design, and stay accountable to outcomes, not just output. You will break large efforts into small, continuously shippable increments, bring others along with you, and leave the codebase better than you found it. This role is based in our Raleigh office. What this looks like day-to-day Feature ownership: Own complex, ambiguous features end-to-end by structuring work into small, independently shippable increments. Drive delivery with clarity, strong judgment, and accountability for customer and system impact. Production engineering: Write production-ready code and define testing approaches based on risk and system impact. Use safe rollout patterns to reduce risk and enable incremental delivery. Incident response: Respond quickly when production issues arise in your area. Resolve issues and drive follow-up improvements that prevent recurrence. AI-enabled development: Use AI tools as a core part of your daily workflow for code generation, debugging, test writing, and task decomposition. Help raise the bar for how the team uses AI in development workflows. Technical collaboration: Deliver actionable code reviews, accurate documentation, and constructive contributions to technical discussions and planning sessions. Help teammates make better decisions through clear, direct input. Continuous improvement: Identify recurring friction points in code, tests, tooling, or proces

Datadog’s People Technology team is building the future of AI at work. We’re looking for a People Systems Developer to design and deploy AI-native workflows that transform how we hire, develop, and support our employees. This is a high-impact hands-on builder role. You’ll move beyond traditional HRIS configuration to prototype and productionize AI-enabled systems across talent acquisition, onboarding, performance, workforce planning, and internal service delivery. You’ll operate with high autonomy, partner directly with stakeholders, and ship solutions that measurably improve how our People team works. 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 Design, build, test, and implement AI-enabled workflows and tools, moving from proofs of concept to full production and adoption based on user feedback. Rapidly prototype using LLMs, APIs, and automation frameworks — and move validated ideas into secure, scalable production systems. Integrate AI capabilities into our ecosystem (Workday, Greenhouse, Slack, Snowflake, Jira, Google Workspace, and more). Partner directly with stakeholders like People Analytics, HRBPs, IT, Legal, and Security to ensure solutions are usable, compliant, and follow responsible AI practices. Evaluate AI tools and vendors through hands-on experimentation. Enable the broader People team to adopt AI effectively and responsibly. Success in this role includes reducing manual People workflows by at least 20% through AI-enabled automation and intelligent system design. 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. Who You Are 3-5 years of exper

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Build Systems team within Figma’s Developer Experience organization owns Figma’s build and CI infrastructure, enabling engineers to ship changes to production quickly and safely. We build and operate core platforms across our polyglot monorepo, including build systems, artifact repositories, merge queues, test frameworks, and CI pipelines. We’re looking for an experienced technical leader to help shape these platforms, uplevel the team, and deliver high-impact platforms that accelerate engineering velocity. The ideal candidate has deep experience with large monolithic codebases, builds durable and scalable systems, and is motivated by solving high-leverage problems that amplify productivity across the engineering organization. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Drive technical roadmap and strategy for the Build Systems team Partner with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions Lead complex, multi-quarter initiatives reducing build/test times and improving CI reliability, all while balancing technical excellence with pragmatic delivery Design, build, and maintain modern developer tools including scalable build systems, distributed CI platforms, and test frameworks that serve thousands of engineers Architect and implement large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost

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. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe