Senior Platform Engineer

Role Overview adonis is hiring a Senior Software Engineer focused on the Data Platform in New York City. This role centers on building and refining data solutions that help the company serve clients better. The position calls for hands-on leadership in developing and optimizing data systems. What You Will Do Lead the design and improvement of data architectures for the platform Collaborate with teams across the company to deliver reliable data solutions Implement analytics tools and processes that support business insights and decision-making Collaboration This role works closely with colleagues from engineering, analytics, and other departments to create and maintain data systems that meet business needs.

About the Role Anthropic is hiring a Software Engineer to support our Research Data Platform. This position is based in San Francisco, CA or New York City, NY. The team works closely with engineers and researchers to create data solutions that strengthen our research efforts. The work directly supports Anthropic’s mission to develop safe and beneficial AI.

Hybrid work environment (3 days in the office, flexible scheduling).About UsAt DoubleVerify, we lead the industry in providing independent marketing measurement software, data, and analytics that validate the quality and efficacy of digital media for major brands and media platforms around the globe. Our solutions ensure media transparency and accountability, delivering the highest quality impressions for optimal advertising performance. Since our inception in 2008, we have empowered countless Fortune 500 companies to maximize their media investments through cutting-edge solutions across the digital landscape. Discover more at www.doubleverify.com.Role OverviewAs a Senior Data Platforms Engineer on our Data Platforms team, you will play a crucial role in enhancing the development experience for both engineering and product teams by creating robust data platforms. You will be responsible for shaping and optimizing our core data services, with a particular emphasis on data warehouse technologies and platforms that facilitate seamless data movement and governance.Our Mission: To enable secure, self-service data at scale across DoubleVerify via a governed platform.Your Responsibilities:As a Senior Data Platforms Engineer, you will oversee the entire lifecycle of essential data platforms, focusing on technologies such as Snowflake, MongoDB, SQL Server, BigQuery, and CloudSQL, as well as data movement tools like Airbyte. Your goal will be to ensure their reliability, scalability, and alignment with our strategic objectives while empowering teams to handle data independently.

Rocket Money supports millions of people in making smarter financial decisions. The platform provides members with clear financial insights and tools designed to save both time and money. Team focus The Data Platform team builds and maintains the core systems behind Rocket Money’s data-driven products. This group develops and supports infrastructure for collecting, processing, and delivering data to teams across analytics, machine learning, and software engineering. Engineers here work closely with other groups to ensure accurate data capture, resilient pipelines, and reliable self-service access for stakeholders. As the team grows, there is a shift toward formalizing standards and practices that will scale. Current tools include dbt, BigQuery, and Terraform, but the emphasis is on shaping architecture and defining how Rocket Money manages data for the future. Autonomy is high, but collaboration remains central as the platform evolves. What you will do Own the data platform infrastructure from end to end, focusing on security, usability, and performance. Collaborate with analytics, machine learning, and software engineering teams to support their data needs. Help guide decisions on data tooling, pipeline design, and governance. Create user-friendly interfaces that promote best practices across the team. Work proactively to improve data reliability by identifying and addressing issues at their source. Who succeeds here This role suits engineers who bring structure to ambiguity, balance stakeholder needs, and manage technical debt. The team values those who make informed choices, take ownership, and contribute to a collaborative environment. Locations Open to candidates in San Francisco, CA; Washington, D.C.; New York City, NY; Detroit, MI; Phoenix, AZ; Miami, FL; and Denver, CO.

At Profound, we are dedicated to empowering organizations to comprehend and manage their AI landscape effectively. We are seeking a talented Software Engineer for our Data Platform team to architect, develop, and enhance the infrastructure that drives data initiatives across our organization.In this role, you will design scalable platforms and create tools and frameworks that support data scientists, analytics engineers, and machine learning engineers. You'll be instrumental in laying the groundwork for analytics, experimentation, and machine learning-driven features. This is an exciting opportunity for individuals who thrive on constructing resilient systems, tackling intricate technical challenges, and enabling teams through superior platform design.Key ResponsibilitiesDesign and develop platform infrastructure that caters to the needs of machine learning, analytics, and software engineers, along with data scientists throughout the organization.Create tools and frameworks for data ingestion, transformation, quality assurance, and observability.Architect robust and scalable systems utilizing technologies such as Snowflake, Clickhouse, AWS, dbt, and Dagster.Implement governance, access control, and data quality systems that grow alongside the organization.Facilitate MLOps by establishing infrastructure to support model development and deployment.Lead technical discussions regarding platform architecture, tool selection, and data management practices.Collaborate effectively with product, engineering, and data teams to identify needs and deliver impactful solutions.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.

We are seeking a highly skilled and motivated Senior Platform Engineer to join our dynamic team at st-labs. This role is crucial in designing, developing, and maintaining our platform infrastructure while ensuring optimal performance and reliability. The ideal candidate will possess a strong foundation in software engineering principles and demonstrate a passion for innovation and problem-solving.

About RWA.xyzAt RWA.xyz, we are revolutionizing capital markets through tokenization, which enables the programmable, real-time settlement of financial assets using blockchain technology. The tokenization sector has experienced explosive growth, surpassing $30 billion and increasing by 300% annually, yet it still captures less than 0.01% of the $500 trillion global financial assets market.As the premier data platform for tokenized assets, RWA.xyz serves esteemed financial institutions including Goldman Sachs, J.P. Morgan, the U.S. Treasury, the IMF, and many others.Supported by top investors in both traditional finance and cryptocurrency, such as Archetype, Jump, and Solana, our team comprises experts from leading firms in Silicon Valley and Wall Street.

Join the Foundational Team at RillaRilla is revolutionizing the way we index the offline world. We have developed the premier sales coaching software tailored for organizations that conduct sales in-person. With over 1000 clients, including industry giants such as The Home Depot, KKR, Neighborly, and PulteGroup, our platform empowers AI-driven sales coaching across their operations.Supported by leading investors including Google Ventures, Bessemer Ventures, Crew Capital, and Broom Ventures, Rilla is an in-office team based in New York City. Our dynamic team operates with the speed and adaptability of high-performance learners, driven by a deep commitment to our customers and a passion for maximizing our real-world impact.If you're eager to develop products and systems that capture and index billions of real-world conversations, Rilla is the perfect place for you.Your RoleWe are establishing a new Platform team, and we are looking for one of the inaugural hires. You will collaborate closely with the platform team lead to shape how Rilla constructs, deploys, monitors, and scales its infrastructure.Your responsibilities will span the entire platform architecture: CI/CD pipelines, Terraform modules, monitoring stacks, SSO integrations, and the API infrastructure crucial for our client operations. If it ensures our product’s functionality and allows engineers to deploy seamlessly, it falls under your purview.You will engage in coding, system design, and architectural decision-making, effectively constructing the platform relied upon by our expanding engineering team of over 25 members. You will take ownership from initial concept to delivering production systems that serve thousands of customers.We welcome engineers of all experience levels; what counts is your relentless resourcefulness, strong technical skills, and enthusiasm for building from the ground up.Do you consider yourself 'obsessive' in your craft? Do you want to define the infrastructure for one of the fastest-growing startups in history? Then Rilla is the ideal environment for you to thrive.

About AnthropicAt Anthropic, we are dedicated to creating AI systems that are not only reliable and interpretable but also steerable. Our mission is to ensure that AI is both safe and beneficial for our users and society at large. Our quickly growing team comprises passionate researchers, engineers, policy experts, and business leaders who collaborate to construct beneficial AI systems.About the RoleWe are seeking talented software engineers to join our Platform organization, where we create foundational tools that enhance product development across Anthropic. You will take ownership of the infrastructure and systems that teams rely on to deliver products reliably and at scale, whether for internal stakeholders or for hundreds of thousands of external users and companies worldwide.This position is ideal for engineers who excel in tackling complex infrastructure challenges and designing systems that are reliable, scalable, and elegant. You will play a pivotal role in defining the performance quality standards for our company, supporting the next generation of LLM-first products, and transforming the developer experience into a best-in-class model.We have several teams actively hiring, and placements will be made post-interview based on your interests and experience, along with our organizational needs. This flexible approach allows us to align talented engineers with the projects where they can have the most significant impact and potential for growth.Platform Acceleration: Your work will focus on maximizing the productivity of our product engineers. You will design and optimize essential development infrastructure that drives our AI product development, including development environments, observability tools, and CI/CD pipelines. Working closely with product teams, you'll identify and eliminate friction points in their development workflows, thus significantly enhancing productivity across our entire product organization and accelerating our mission.Service Infrastructure: We maintain the core systems that underpin Anthropic's engineering efforts, from service mesh and observability systems to deployment pipelines and shared libraries. Our contributions enable product teams to build and operate reliable services at scale, making us a vital multiplier of effectiveness across the entire company.Multicloud: We create and maintain the infrastructure that allows Anthropic to operate seamlessly across multiple cloud providers, emphasizing cloud-agnostic tools, cross-cloud networking, and multi-region deployments.Authentication & Identity: We construct and uphold the critical infrastructure that supports identity management and authentication across Anthropic's platforms.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only safe but also interpretable and steerable. Our mission is to ensure that AI serves the best interests of our users and society at large. Our rapidly growing team comprises passionate researchers, engineers, policy experts, and business leaders, all collaborating to create beneficial AI technologies.About the Role:We are seeking skilled software engineers to join our Platform team. This team is responsible for building the essential foundations that enhance product development across Anthropic. We manage the infrastructure and systems that teams rely on for reliable and scalable deployment to both internal users and hundreds of thousands of external clients worldwide.In this role, you will independently define and scope complex, multi-month projects, fostering cross-organizational alignment in ambiguous problem areas. Your architectural decisions will significantly influence the way Anthropic develops and scales its products. You will collaborate closely with research teams to transform cutting-edge capabilities into market-ready solutions, ensuring a lasting impact on our platforms that serve both internal and external engineering teams.Multiple teams are actively hiring, and team assignments will be determined post-interview based on your skills, interests, and the needs of the organization. This flexible approach helps us align talented engineers with backend product initiatives where they can make the most significant impact and experience growth.Your Responsibilities:Platform Acceleration: You will enhance developer productivity for product engineers at Anthropic. This includes architecting and optimizing critical development infrastructure that fuels our AI product development, encompassing development environments, observability, and CI/CD pipelines. You will work closely with product teams to understand their workflows and eliminate friction points, resulting in a profound multiplier effect across the product organization, thus accelerating our mission.Service Infrastructure: You will build and maintain the core infrastructure that supports Anthropic's engineering efforts, ranging from service mesh and observability systems to deployment pipelines and shared libraries. Your contributions will empower product teams to construct and operate reliable services at scale, positioning you as a critical force multiplier within the company.Multicloud: You will develop and sustain the infrastructure that allows Anthropic to function seamlessly across various cloud providers, focusing on cloud-agnostic solutions that enhance our operational efficiency.

At Bubble, our mission is clear: we aim to empower everyone to create software. We believe that anyone with a transformative idea should have the means to bring it to life. Our AI-driven visual development platform allows individuals, from first-time entrepreneurs to established enterprise teams, to transform ideas into fully functional, scalable applications across web, iOS, and Android—all without the need for coding or managing complex workflows.As the sole full-stack, cross-device no-code platform, Bubble has garnered over 5 million users across more than 100 countries, breaking down barriers to entrepreneurship and innovation worldwide.Our Achievements:Our platform is thriving, with entire VC-backed companies being built solely using Bubble. After successfully finding product-market fit and eight years of bootstrapping, we secured a $100 million Series A funding round, establishing ourselves as one of the fastest-growing companies within the New York tech ecosystem. The potential of Bubble is demonstrated by our community—individuals are not just launching products; they are creating viable businesses. For instance, Mailead turned a $10k investment in a Bubble product into a $2M valuation, while Faceless.video achieved over $1M in annual recurring revenue within a year.About the Platform Team:Our Platform team is dedicated to enhancing our scaling, reliability, and enablement capabilities as we aim to double our customer base in the coming years. Our responsibilities encompass both scalable infrastructure and our core backend systems. Success in this role means delivering timely capacity, executing workloads rapidly, and guaranteeing data scalability across diverse applications while managing costs and addressing implementation and infrastructure inefficiencies.About the Role:Join a small, elite team tackling challenges faced by the largest cloud providers. This position is an opportunity to be at the forefront of a platform that is revolutionizing the traditional engineering stack globally. Additionally, you will contribute to fostering an inclusive, effective, and collaborative engineering culture. This role requires after-hours and on-call availability.

About Savvy Wealth:Savvy Wealth is revolutionizing the wealth management industry, a sector worth $545 billion in the U.S. Despite its size, this industry often relies on outdated practices, with 75% of financial advisors limiting their digital communication to email and 62% still using Excel for financial planning. This inefficiency hampers the client experience, leading advisors to spend over 70% of their time on manual tasks rather than engaging with clients.At Savvy, we're transforming this outdated landscape by creating the most advisor-centric platform in wealth management. Our digital-first solution empowers financial advisors with AI-driven software, automated marketing and sales, and streamlined backend operations, allowing them to grow their practices and enhance client interactions.With over $105 million raised from prestigious investors like Thrive Capital, Index Ventures, and Canvas Ventures, our team consists of experienced founders and operators who have contributed to the success of companies such as Airbnb, Square, and Facebook. We're at an exciting juncture in our growth, having achieved a remarkable $2.2 billion in assets under management in less than three years and growing over 600% in the past 18 months. Join us as we embark on our next chapter of rapid product expansion and revenue growth!Key Responsibilities:Lead the enhancement of CI/CD pipelines to facilitate reliable and low-friction deployments across various services and environments.Develop and maintain both local and cloud-based development environments to optimize testing and debugging processes for engineers.Implement standardized alerting, metrics, and logging practices at scale to enable quick diagnostics and minimize downtime.Proactively identify and resolve developer experience challenges, including slow tests, flaky builds, and insufficient documentation.Introduce strategic automation initiatives that enhance development speed and safety, such as test selection and infrastructure checks.Utilize AI technologies to streamline engineering workflows, including code review and infrastructure management.Collaborate with product engineering teams to foster the adoption of platform improvements through trust and collaboration.

Databricks builds data and AI infrastructure that helps organizations solve real-world problems, from improving transportation to driving medical breakthroughs. The company was founded by engineers who care deeply about customers and technical challenges. Teams work on everything from advanced UI/UX for data tools to scaling services across millions of virtual machines. This Senior Staff Software Engineer role is based in New York City. As one of the first engineers in the NYC office, you will join a small, agile group focused on launching new products from scratch. The team’s mission: use Databricks’ strengths in data and AI to create vertical AI applications for both technical and business users. The environment combines the energy of a startup with the backing of a major technology company. Your Impact Design advanced interfaces for GenAI agents that support complex workflows, with a focus on transparency and human oversight. Work closely with product management, design, and other engineering teams to build scalable, intuitive, and extensible solutions that support user and business growth. Lead by example through hands-on, full-stack software development to deliver dynamic, user-centered experiences. Create mechanisms that drive product-led growth, including improved onboarding and sharing features. Help shape the future of agentic applications at Databricks by collaborating with a diverse team of engineers, product managers, and designers. Define and execute strategy for broad AI feature development by designing, building, and maintaining systems that are scalable, reliable, and high-performing.

About the Role Squarespace is hiring a Software Engineer for the Delivery Platform team in New York City. This group builds and improves the core services that support millions of creators and business owners on the platform. Work here shapes both how users experience Squarespace and how the company operates behind the scenes. What You’ll Do Design, develop, and maintain software solutions for the Delivery Platform Collaborate with engineers, product managers, and other teams to deliver reliable features Tackle technical challenges to improve performance and scalability of delivery systems What We’re Looking For Experience in software development Ability to work with cross-functional teams Strong problem-solving skills

About AlphaSense: AlphaSense is the go-to platform for the world’s leading companies seeking to eliminate uncertainty in decision-making. Leveraging advanced AI, our market intelligence and search capabilities provide crucial insights from reliable content. Our extensive database encompasses public and private materials such as equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary client research.The recent acquisition of Tegus by AlphaSense in 2024 enhances our shared mission to empower professionals through AI-driven market intelligence. Together, we aim to foster growth, innovation, and the expansion of diverse content offerings, equipping users to discover in-depth insights from a multitude of data sets. Trusted by over 6,000 enterprise clients, including a significant portion of the S&P 500, AlphaSense has been a pioneer since its inception in 2011, headquartered in New York City with a workforce of more than 2,000 across various global offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join our team today!About the Team:Our vibrant Product & Engineering team thrives on innovation, collaboration, and constantly enhancing our platform. We foster a dynamic work environment that encourages personal and professional growth while developing cutting-edge technology that defines the future of AI and search.At AlphaSense, we value diversity in experiences and perspectives, which we believe are essential to our success. We are dedicated to cultivating an inclusive workplace where every employee feels appreciated and empowered to express their true selves.About the Role: As a part of AlphaSense, the GenSearch system is a production-level, customer-facing generative AI solution that provides reliable answers across various domains. Our team is responsible for the financial data agent within GenSearch—integrating AI reasoning with structured financial datasets—and for the financial data web experiences that facilitate fundamentals, M&A, screening, and other key functionalities.We are seeking a proactive Principal Engineer to assist us in:Reducing latency in AI-powered financial responsesSimplifying complex and outdated architectureEnhancing cross-dataset querying and screeningDelivering new datasets and product capabilities without escalating systemic complexity

OverviewAt bettermoney, we are pioneering the future of stablecoin integration into everyday payments. Our mission is to create a stablecoin clearinghouse that enables seamless transactions, transforming stablecoins into a reliable form of currency rather than mere trading assets. We are in search of a Platform Engineer who has a passion for precision and performance. Join us in enhancing our testing framework to accelerate development while ensuring reliability. Your insights on improving efficiency will help us develop internal tools, development infrastructure, and automation, enabling our compact team to operate with the efficiency of a larger organization.About UsAt bettermoney, we are firm believers in the potential of stablecoins as the foundation for superior payment solutions. We recognize significant structural challenges that impede stablecoin adoption, and we are committed to addressing these issues, starting with our innovative clearinghouse. Based in New York City, our dynamic team has successfully secured $10M in funding from a16z Crypto and other esteemed partners, and we are on a mission to revolutionize currency.Your RoleTake ownership of the test harness for our foundational systems, focusing on integration tests, formal verification, and chaos testing for our ledger, netting algorithm, money transfers, and payment prioritization.Establish correctness assurances that empower the team to deliver faster. By proving accuracy, we can advance with confidence.Design and implement internal tools that enhance our productivity exponentially.Manage CI/CD pipelines, development environments, and deployment infrastructure to streamline the transition from code to production in a safe and efficient manner.Implement observability features such as logging, tracing, and alerting, enabling us to identify issues proactively before our customers notice.And, of course, handle the dishes.Who We SeekA minimum of 3 years of experience in platform engineering, developer tooling, infrastructure, or reliability engineering.Proven experience in developing testing infrastructure for systems where correctness is paramount, such as payments, trading, or ledgers.Familiarity with formal verification, property-based testing, or chaos engineering is highly desirable.A strong vision for what effective internal tooling should encompass, demonstrated by your proactive development efforts.Comfortable navigating ambiguity, viewing it as an opportunity for ownership and innovation.Our Core ValuesChallenge the status quo - we refuse to accept a payment process that takes days and incurs excessive costs.

Scribd, Inc. brings together products like Scribd®, Slideshare®, Everand™, and Fable, all focused on moving people beyond basic access to information toward deeper understanding and hands-on expertise. Workplace Culture Authenticity and bold thinking shape daily work at Scribd. The team values open debate, welcomes fresh challenges, and keeps customer needs central to decisions. Through the Scribd Flex program, employees enjoy a blend of remote work and intentional in-person gatherings. While most tasks happen remotely, occasional onsite meetings help strengthen collaboration and community ties. Scribd seeks individuals who demonstrate “GRIT”: passion and perseverance in pursuit of long-term goals. This mindset guides how teams set objectives, deliver on commitments, and solve problems together. Developer Tooling Team This group designs and maintains the tools, frameworks, and platforms that support Scribd’s engineers throughout the software development lifecycle. Their work includes updating infrastructure, refining build and deployment processes, and introducing collaborative AI features that enable developers to work with AI agents. These efforts directly improve productivity and enhance the developer experience across the company. Role overview The Staff Software Engineer for the AI Developer Platform plays a key role in shaping how Scribd approaches software development in an AI-first environment. This position sets the technical direction for the agentic engineering platform, guiding hundreds of engineers as they use coding agents to write, review, and deploy code across Scribd’s technology stack. The role also focuses on improving the development environment to enable effective collaboration between AI agents and human engineers. Developing the agentic engineering strategy requires close partnership with senior leadership to ensure alignment with company goals.

Join the cutting-edge team at sola as a Software Engineer focused on our Machine Learning Platform. In this role, you will contribute to the development and optimization of innovative machine learning solutions that drive our business forward. Collaborate with a talented group of engineers and data scientists to deliver high-quality software that supports advanced machine learning models and applications.