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Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.
Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done. Better decisioning is built-in, not bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are part of the workflow so underwriters win the right deals, faster. From the moment a submission hits an underwriter’s inbox, AI is put to work, triaging submissions with a focus on high-appetite business, delivering real-time feedback on the portfolio, and consolidating workflows into a single proven system. Federato drives better business outcomes.
Who We Hope You Have:
$160,000 - $190,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks.
Here at Federato, your capabilities are important, but culture fit is essential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you!
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai
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GR8 Tech builds B2B iGaming platforms for operators who play to lead.
We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.
With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.
Our ambition drives us. Our people make it real.
If you’re a challenger in spirit and a champion in action — join us.
This role exists to design, develop, and maintain scalable .NET systems for Events Center, ensuring high performance, resilience, and alignment with business objectives while mentoring engineers and improving development practices.
System design and architecture
Design and implement scalable, resilient, and efficient software architectures using microservices, event-driven, and cloud-native approaches.
Development and code quality
Mentorship and collaboration
Continuous improvement and research
Communication and documentation
Must-have
Nice-to-have
Benefits Cafeteria — annual budget you allocate to:
Sports • Medical • Mental health • Home office • Languages.
Work-life & support
GR8 Tech culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.
FUELLED BY TRUST: we’re open, honest, and have each other’s backs.
OWN YOUR GAME: we take initiative and own what we do.
ACCELER8: we move fast, focus smart, and keep it simple.
CHALLENGE ACCEPTED: we grow through challenges and stay curious.
BULLETPROOF: we’re resilient, ready, and always have a plan.
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Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.
This is a remote position, with preference given to East Coast candidates.
Key Responsibilities:
Requirements:
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Design, build, and maintain backend services using .NET (C#);
Develop and evolve microservices in a production environment;
Support existing functionality and ensure backward compatibility of releases;
Work on core domain flows such as accounts, registration, authentication, wallet, and related business capabilities;
Participate in task analysis, decomposition, and effort estimation;
Deliver completed tasks for testing and collaborate with QA during test phases;
Build integrations using asynchronous communication and event-driven patterns;
Work with relational databases, transactional flows, and optimize query performance;
Identify performance bottlenecks and contribute to system design improvements;
Contribute to service observability (logs, metrics, traces, dashboards, monitoring);
Manage deployment configurations and manifests in Kubernetes environments;
Work in a GitOps setup and participate in deployment and operational ownership;
Collaborate with DevOps teams on infrastructure-related changes (including Terraform workflows);
Participate in on-call rotation and handle production incidents;
Identify technical debt and propose improvements;
Perform high-quality code reviews focusing on maintainability, performance, and consistency.
5+ years of commercial backend development experience with C# / .NET (6+), .NET Core / ASP.NET Core;
Solid understanding of microservices architecture and distributed systems;
Experience with asynchronous communication and event-driven architectures;
Experience with message brokers (Kafka or similar);
Strong knowledge of relational databases (SQL, transactions, indexing, performance tuning), PostgreSQL will be a plus;
Experience with ORM tools (e.g., Entity Framework);
Experience writing Unit and Integration tests;
Understanding of authentication and authorization (OAuth 2.0, OpenID Connect);
Good understanding of software design principles (SOLID, separation of concerns, testability);
Understanding of observability and monitoring in production systems;
Experience troubleshooting performance and memory issues;
Experience with Orleans, Redis will be a plus;
Experience with AWS, Kubernetes, Terraform will be a plus;
Experience with Grafana, Loki, Tempo will be a plus.
Good communication skills;
Multitasking, quick task execution;
Good team player;
Responsibility.
GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;
DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;
BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.
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The Company
Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai
Overview
We are seeking a Data Engineer with strong Python and distributed processing skills to design, build, and maintain scalable data pipelines and the infrastructure behind our analytics products. This role focuses on delivering reliable, performant data systems by developing robust ETL/ELT workflows, optimizing data storage and processing, and ensuring data availability and quality at scale.
Key Responsibilities
Required Qualifications
Preferred Qualifications
What Success Looks Like
Skills & Attributes
Assignment:
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The Company
Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai
Overview
The Manager,Cloud and Data will report to the VP of Engineering and lead the Cloud and Data team. This individual will lead the team to architect, implement, and operate critical scalable data infrastructure for a geographically distributed robot fleet and company.
Key Responsibilities
Required Qualifications
Ideal Qualifications
Compensation & Benefits
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Why do you need to choose between doing important work and having a fulfilling life? At Ardent, we have both. Ardent employees are committed to solving our customers’ most difficult problems—and we are committed to the well-being, personal goals, and professional development of our employee. We are “All In.” We put forth our strongest effort possible to get the mission accomplished and we do it together. We respect the skills and experience you bring to the Ardent team. And we provide a rewarding environment to help you succeed.
We offer highly competitive benefits, professional development opportunities, and an exceptional culture that embraces flexibility, innovation, collaboration, and career growth. A collective service mindset underpins our work, and a shared camaraderie to serve clients, colleagues and our communities set us apart. Our full commitment to being "All In" for our employees and our clients is not just our approach, it is our standard. If this sounds like the perfect fit for you, choose Ardent and make a difference with us.
Ardent is seeking a RPA Engineer to join our team.
This is a Remote position.
Position Description:
Ardent is seeking a RPA Engineer. As the RPA Engineer, you will offer the ability to analyze user needs to determine functional requirements and define problems and develop plans and requirements in the subject matter area for moderately complex to complex systems related to information systems architecture, networking; telecommunications, automation, communications protocols, risk management/electronic analysis, software, lifecycle management, software development methodologies, and modeling and simulation.
Responsibilities and Duties:
Requirements:
Due to the nature of the work we support, all candidates in consideration for this role must be willing to undergo the government issued background investigation process. We highly encourage all Veterans and those with disabilities to apply.
Ardent is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression, or any other basis protected by state, local, or federal law.
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Who We Are:
Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
As a Senior Software Development Engineer in Test on the Platform Team, you will be responsible for improving the automated and manual testing infrastructure at Alpaca - helping our developers quickly and reliably deliver new features.
We are looking for experienced engineers who not only understand testing best practices and CI pipelines, but also have in-depth knowledge of Kubernetes and can dig deep into application code when necessary.
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
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RegScale is a continuous controls monitoring (CCM) platform that helps organizations automate and scale their security, risk, and compliance programs. We are at an inflection point, transitioning from startup execution to a disciplined, enterprise ready engineering organization, and we are building the team that will take us there. Integrations are central to how RegScale delivers value, connecting the platform to the security, engineering, and business tools our customers depend on daily and ensuring compliance data flows reliably across complex enterprise environments.
The Role
Senior Software Engineers on the Integrations team own the design and delivery of the systems that connect RegScale to the outside world. You think in frameworks and patterns, building reusable foundations that make every subsequent integration faster, more reliable, and easier to maintain. You take ownership of your work from design through production and measure your success not just by what you deliver but by the quality and reusability of what you leave behind.
You will tackle genuinely hard problems including synchronizing millions of security findings while maintaining data integrity, building resilient integrations that handle rate limits and eventual consistency, and designing data models that work across diverse and unpredictable vendor APIs. You will work closely with Product, Customer Enablement, and Platform Engineering to ensure integrations are built on sound engineering foundations and reflect real customer usage patterns in the GRC domain.
This role is for an engineer who brings strong systems thinking, takes end to end ownership, and is energized by the challenge of making complex external ecosystems work reliably inside an enterprise compliance platform.
Key Responsibilities
Required Qualifications
Preferred Qualifications
RegScale is only able to hire US Citizens
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Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance.
Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira.
During your time at Chartbeat, you can expect to work with a modern software development stack and engineering systems built for scale. You will also have a chance to meet heads of other departments such as Sales, Finance, Product and more, who will give you a view into what and how they work, it will be an opportunity not only to dive into all things engineering, but also to learn about how an enterprise SaaS company works end to end. Some logistics info, the internship will be fully remote with an expectation to work during the US east coast business hours. We will be providing a Macbook that will be used and returned back to us after the internship. Interns in the NYC area will have the chance to meet some of our local team members at a co-working space occasionally and work together. Finally, our interns will also be able to expense two lunches every month when meeting with anyone at the company - we encourage them to mix and mingle!
Preferred Skills: Python, SQL
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Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance.
Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams.
In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels.
The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.
Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs.
As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira.
Preferred Skills: React or Angular, JavaScript
Ready to apply?
Apply to Chartbeat, Inc.
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Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance.
Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams.
In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels.
The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.
Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs.
As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira.
Preferred Skills: Basic knowledge of Python, React, Angular, JavaScript
Ready to apply?
Apply to Chartbeat, Inc.
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of globally distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
Our goal is to perfect enterprise infrastructure DevOps practices, raising the bar on what's possible with automation by embracing a model-driven approach, whether on-premise or on public clouds.
We run hundreds of private cloud, Kubernetes clusters, and applications for customers across both physical and public cloud estates. We identify and address incidents, monitor and observe applications, anticipate potential issues, and enable product refinement to ultimately achieve high-quality standards in our open source portfolio.
To succeed in this role, you need to have a strong background in Linux, Python, networking, and knowledge of how clouds work. Your work will encompass the entire stack, from bare-metal networking and kernel up to Kubernetes and open source applications. You can expect to be trained in our core technologies like OpenStack, Kubernetes, security standards, open source products like Kubeflow, Kafka, OpenSearch, databases, and many others.
Automation for us is a software engineering problem that we approach with a scientific mindset to bring operations at scale, driven by metrics and code.
Location: Globally remote role
We deploy and run OpenStack, Kubernetes, storage solutions, and open source applications, applying DevOps practices.
To become a member of our team, you need to be a software engineer fluent in Python, you need a genuine interest in the full open source infrastructure stack from bare metal to containers, and you need the ability to work in operations with mission-critical services for global brand-name customers.
As a member of the team, you will gain experience in a broad range of cloud technologies. We evolve our offerings as the state of the art improves, so you get to stay current with the latest capabilities in open source infrastructure.
We consider geographical location, experience, and performance in shaping compensation worldwide. We adjust compensation every 6 months to ensure we recognize outstanding performance, and in addition to base pay, we offer annual bonuses. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration.
#LI-Remote
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Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing. We are hiring an Cloud Solutions Architect in our Alliances team to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to the edge. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.
We help global companies embrace public and private cloud infrastructure, cloud native operations, and open source applications. For this team we are looking for several Alliances Engineers to support OEM (hardware manufacturers), GSI (global system integrators), ISV (independent software vendors), Channel partners and Public Cloud alliance partners. You will support various alliances and partners of Canonical to adopt our products and technologies, help business leaders to define joint go-to-market programs with partners from the technical standpoint.
We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.
Location: This is a home-based role, we are hiring worldwide.
If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Architect role at Canonical.
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
#LI-Remote
Ready to apply?
Apply to Canonical
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing. We are hiring an Alliances Field Engineer to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to the edge. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.
We help global companies embrace public and private cloud infrastructure, cloud native operations, and open source applications. For this team we are looking for several Alliances Engineers to support OEM (hardware manufacturers), GSI (global system integrators), ISV (independent software vendors), Channel partners and Public Cloud alliance partners. You will support various alliances and partners of Canonical to adopt our products and technologies, help business leaders to define joint go-to-market programs with partners from the technical standpoint.
We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.
Location: This is a home-based role, we are hiring worldwide.
If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
#LI-Remote
Ready to apply?
Apply to Canonical
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Trusted by more than 18,000 Shopify and Shopify Plus stores—like Brooklinen, Ruggable, True Classic and Dr. Squatch—Postscript gives ecommerce brands the tools they need to run a world-class SMS marketing program.
We’re on a mission to make SMS the number-one revenue channel for ecommerce merchants by delivering an easy-to-use platform where they can grow their subscriber list, develop and test their messaging strategy, deliver excellent customer service, and drive sales and loyalty—all in one place. We believe SMS is the most important marketing and sales channel of the decade, and that vision drives everything we do.
Postscript was founded in 2018 as a 100% remote organization. With more than 250 employees (and counting!), we’re backed by Greylock, Y Combinator, and other top investors.
As Engineering Manager for the Customer Data Platform team at Postscript, you will partner with the team’s Principal Engineer & Architect to manage a team of skilled product and data engineers building our CDP from the ground up as part of Postscript’s transformation into an agentic-first company.
Engineering Managers are directly responsible for day-to-day people management of their direct reports. They focus on leadership, people management, and delivery/execution duties. Our backend, primarily Python within an AWS architecture, is evolving to meet scalability and complexity demands. Your team will be responsible for building greenfield data platform capabilities necessary to power segmentation, targeting, and agentic experiences across Postscript’s product suite.
The ideal candidate has experience leading small to mid-size engineering teams building data-intensive products. They have a passion for data infrastructure, product engineering, and delivering great work that drives business value. The best candidates possess the ability to perform the duties of a technical contributor, project manager, and people manager on any given day and know when and how to switch between those hats as needed to achieve success for their team(s) and the overall company.
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You are welcome here. Postscript is an ever-evolving place of equal employment for talented individuals.
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Apply to PostscriptDataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.
The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.
Location: Remote (Global)
We are looking for a passionate and skilled Developer Advocate to join our team. If you're enthusiastic about empowering developers, thrive in technical communities, and excel at both technical communication and content creation, we'd love to hear from you.
If you are passionate about helping developers unlock the power of intelligent AI & data management, we want to hear from you! Apply today to become an integral part of the DataHub journey.
We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
Competitive compensation
We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.
Equity for everyone
Every team member receives an ownership stake in the company. When we grow, you grow with us.
Remote Work
All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.
Location flexibility
Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
Comprehensive health coverage
Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.
Flexible savings accounts
We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.
Support for every path to parenthood
Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.
Time off that works for you
We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.
DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
By joining our team, you’ll:
If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!
Ready to apply?
Apply to DataHub
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Department/Team: Engineering
Clearance Requirement: Not Required - Must be eligible
Location: Remote
Employment Type: Full-time, Salaried
We are seeking a Senior Data Engineer to design and build high-performance real-time data platforms that power analytics, machine learning, and operational intelligence. This role focuses on streaming data pipelines, distributed processing, and large-scale event data systems.
You will work on building and operating low-latency data pipelines using technologies such as Apache Flink, Apache Druid, Kafka, and modern data infrastructure, enabling real-time insights across large volumes of structured and unstructured data.
This role requires strong experience in stream processing architectures, distributed systems, and scalable data infrastructure.
Ready to apply?
Apply to Orbital InsightWho we are:
Glydways is reimagining what public transit can be. We believe that mobility is the gateway to opportunity—connecting people to housing, education, employment, commerce, and care. By making transportation more accessible, affordable, and sustainable, we empower communities to thrive and unlock economic and social prosperity.
Our mission is to revolutionize transit with a solution that delivers high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact.
The Glydways system is a groundbreaking network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles on dedicated roadways. Operating 24/7 with on-demand access, it offers personalized and efficient mobility—without the burden of heavy upfront infrastructure costs or ongoing taxpayer subsidies.
With Glydways, we’re building more than a transportation system; we’re creating a future where everyone, everywhere, has the freedom to move.
About the Role:
We're looking for a backend engineer who can own and evolve our Ticketing & Ride Request (TRR) system — the service that handles everything from a rider tapping "Request a Ride" to a vehicle arriving at their station. This is a high-throughput, event-driven system where reliability isn't optional; real people are standing on a platform waiting for their ride.
You'll also contribute to the broader backend infrastructure that supports our suite of applications — think message queues, caching layers, database performance, and service-to-service communication. If you've ever been the person on your team who gets pulled into debugging the weird one, you'll feel at home here.
We care far more about how you think than where you went to school or how many years are on your resume. To show us you actually read this posting and aren't auto-applying, start the first sentence of your cover letter with the words "Ride request received." — we'll know you're paying attention.
tcpdump or strace before restarting the serviceGlydways provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Ready to apply?
Apply to Glydways
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The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.
We’re hiring a Senior Full-Stack Engineer with product vision. You’ll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy. You’ll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable.
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.
Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.
At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.
After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.
Ready to apply?
Apply to HumanSignal
Share this job
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.
We’re hiring a Senior Frontend Engineer with product vision. You’ll lead with craft—shipping fast, accessible UX in React/TypeScript—and partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls. You care about clarity, performance, and simplicity in complex, data-heavy workflows—so the result feels simple, performant, and trustworthy.
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.
Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.
At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.
After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
It is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!
Ready to apply?
Apply to HumanSignal
Share this job
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.
We’re hiring a Senior Backend Engineer with product vision. You’ll design and operate services in Python/Django that power labeling and evaluation workflows at scale: clean API contracts, robust data models, efficient background jobs, and dependable performance. You’ll partner early with PM/Design/FE to frame problems, prototype to learn, and make pragmatic scope calls—so complex workflows feel simple, reliable, and fast for users.
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.
Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.
At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.
After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.
Ready to apply?
Apply to HumanSignal
Share this job
We are seeking a skilled Full-Stack Developer for one of our distinguished clients. Our client is a technology company that specializes in transforming brand safety and contextual advertising through advanced AI and machine learning solutions. They deliver sophisticated content analysis across multiple media formats, providing granular insights into content risk, sentiment, and thematic elements that go beyond traditional keyword-based approaches.
This role involves developing scalable applications and backend infrastructure that powers next-generation brand safety and content suitability platforms. You'll work across the entire technology stack, utilizing your expertise in Python, API development, browser automation frameworks, CI/CD processes, and large language models to create innovative solutions and maintain high-performance systems.
This position offers the opportunity to contribute to cutting-edge advertising technology solutions while working with a forward-thinking team focused on innovation and measurable impact for advertisers and publishers.
What are you waiting for? Fill out the form below and apply!
Ready to apply?
Apply to DistantJobGlide is looking for a Tech Lead Manager to lead our Platform engineering team. We are growing fast and need to evolve our data sources strategy, become more efficient with our infrastructure utilization as we scale, and achieve a high level of operational excellence for availability, security, and performance.
The ideal candidate has experience establishing services and architectural patterns that scale predictably, evolving legacy services already in production, and building data and infrastructure teams.
We’re building a simpler, faster way for anyone to build custom software for their business, without any technical or design skills. Tens of thousands of non-technical people use Glide to build apps to power their businesses, organizations, personal projects, and more. As customers create apps to visualize, interact with, take action on, and analyze their growing data sets, we must keep this big picture in mind as we improve various levels of our engineering stack.
As an engineering manager leading a deeply technical area, we don’t expect you to write code, but you should be able to engage in conversations around code, infrastructure, and architectural designs.
Technical
People Management
We offer a competitive salary and benefits package, a supportive and dynamic remote work environment, and opportunities for career growth. If you are a self-starter with a passion for scaling platform services and the teams that support them, we want to hear from you!
Glide is an equal opportunity employer and welcomes applicants from all backgrounds to apply.
If you're unsure if you qualify for the role, or just want to meet us and learn more, please record a quick video to introduce yourself and show us something you've worked on. Send it to jobs@glideapps.com and we'll take a look.
Ready to apply?
Apply to GlideCookies & analytics
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