Kafka Jobs in North Carolina.
All active Kafka roles based in North Carolina.
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Senior Infrastructure Engineer (Core Infra, US)
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.
Role Overview
As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.
Responsibilities
- Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
- Collaborate with AI engineering and iPaaS engineering teams to plan and deliver complex platform initiatives.
- Patch and optimize open-source components for performance and security.
- Build iPaaS and AI infrastructure at scale and cross-cloud.
- Manage and provision AWS infrastructure using Terraform and Kubernetes.
- Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
- Improve and maintain CI/CD pipelines for scalable and secure component delivery.
- Tune Linux systems and open-source software for high performance and hardened security.
- Build internal tools to streamline engineering workflows and operational automation.
- Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.
Requirements
- 7+ years of experience in infrastructure or systems engineering roles.
- Proven expertise in distributed systems and cloud-native architectures.
- Strong understanding of Linux internals, including networking and system-level performance tuning.
- Experience operating infrastructure on AWS at scale.
- Proficiency with Terraform, Kubernetes.
- Solid understanding of network security and cloud security best practices.
- Hands-on experience optimizing CI/CD workflows and automating deployments.
- Excellent analytical, troubleshooting, and communication skills.
Nice to Have
- Experience with Golang for tooling or internal services.
- Experience building cross-cloud AI infrastructure.
- Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
- Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
- Understanding of Vault or other secrets management systems.
- Contributions to or maintenance of open-source infrastructure projects.
Tech Stack
- AWS • Terraform • Kubernetes • LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault
Why Join Us
- Build and operate a world-class cloud platform used by leading global enterprises.
- Collaborate with experienced engineers in the US and across international teams.
- Work in a highly technical environment focused on scalability, performance, and reliability.
- Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.
Ready to apply?
Apply to Workato
Senior Infrastructure Engineer
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.
Role Overview
As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.
Responsibilities
-
Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
-
Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.
-
Patch and optimize open-source components for performance and security.
-
Develop low-level internal services using Linux syscalls and networking primitives.
-
Manage and provision AWS infrastructure using Terraform and Kubernetes.
-
Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
-
Improve and maintain CI/CD pipelines for scalable and secure component delivery.
-
Tune Linux systems and open-source software for high performance and hardened security.
-
Build internal tools to streamline engineering workflows and operational automation.
-
Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.
-
Coordinate cross-team projects, ensuring smooth collaboration on shared goals.
-
Collaborate with management to align engineering goals with company objectives.
-
Perform a Tech Leader role for a group of engineers (planing, reporting, technical leading).
- Support the professional growth of other engineers by sharing knowledge and mentoring them.
Requirements
-
10+ years of experience in infrastructure or systems engineering roles.
-
Proven expertise in distributed systems and cloud-native architectures.
-
Strong understanding of Linux internals, including networking and system-level performance tuning.
-
Experience operating infrastructure on AWS at scale.
-
Proficiency with Terraform, Kubernetes.
-
Solid understanding of network security and cloud security best practices.
-
Hands-on experience optimizing CI/CD workflows and automating deployments.
-
Excellent analytical, troubleshooting, and communication skills.
-
Experience mentoring and developing engineers, fostering professional growth, and promoting knowledge sharing across teams.
- Experience working as a technical leader - planning, reporting, and guiding engineering efforts within a team.
Nice to Have
-
Experience with Golang for tooling or internal services.
-
Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
-
Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
-
Understanding of Vault or other secrets management systems.
-
Contributions to or maintenance of open-source infrastructure projects.
Tech Stack
- AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault
Why Join Us
-
Build and operate a world-class cloud platform used by leading global enterprises.
-
Collaborate with experienced engineers in the US and across international teams.
-
Work in a highly technical environment focused on scalability, performance, and reliability.
-
Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
Compensation:
This is a full-time, exempt position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.
Ready to apply?
Apply to Workato
Solutions Architect - Financial Services (Strategic Data Providers)
FEQ327R7
While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.
Mission
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, how-tos, and demonstrate applications for customers
- Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
- Travel to meet with customers in your territory
What we look for:
- 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
- Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP
- Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
- Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Solutions Engineer - GSI's and FinTech Data
FEQ227R228
While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.
Mission
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, how-tos, and demonstrate applications for customers
- Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
- Travel to meet with customers in your territory
What we look for:
- 3+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
- Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP
- Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
- Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Solutions Architect - GSI's and FinTech Data
FEQ127R13
While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.
Mission
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, how-tos, and demonstrate applications for customers
- Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
- Travel to meet with customers in your territory
What we look for:
- 10+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
- Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP
- Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
- Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Fullstack Engineer
What Makes Us Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.
How You'll Make an Impact:
As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.
Our Distribution Team:
We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.
What You Bring to the Team:
- Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
- Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
- Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
- Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
- Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
- Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
- Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
- Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
- Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base
What Sets You Up for Success:
- 5+ years of PHP web application software engineering experience
- 5+ years of experience with JS frameworks, Vue.js and React are preferred
- Solid experience with modern JavaScript/TypeScript
- Strong hands-on experience with Docker and containerized development workflows
- Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
- Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
- Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
- Proven track record of taking ownership of projects and delivering results independently
- Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team
Bonus Skills to Stand Out:
- Experience designing and building microservices and/or micro-frontends
- Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
- Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
- Experience working with event-driven architectures and messaging systems (e.g., Kafka)
Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
Learn more online at cloudbeds.com
Company Awards to Check Out!
- Best All-In-One Hotel Management System | HotelTechAwards (2025)
- Overall 10 Best Places to Work | HotelTechAwards (2025)
- Most Loved Workplace® Certified (2024)
- Top 10 People’s Choice(2024)
- Deloitte Technology Fast 500 (2024)
Discover our Benefits:
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays - enjoy an extra long weekend every month
- Full Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer.
Everyone is Welcome - A Culture of Inclusion
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
#LI-REMOTE
Ready to apply?
Apply to Third-Party Job Posts
Senior MuleSoft Engineer
At Green Irony, we exist to turn AI into Actual Intelligence—accelerating outcomes and proving that complexity is optional. We hire people who automate first, ask permission never, and treat ownership as a default setting. If you’d rather govern yourself than be governed by layers of project managers, welcome home.
As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many.
What You'll Own
You will be the technical owner of your client engagements — not a resource assigned to a ticket queue. That means:
- Client Delivery Ownership: Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
- Stakeholder Management (exec → dev): Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery.
- Scope Discipline: Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship.
- Autonomous Execution: Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you.
Key Responsibilities
Technical Delivery
- Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
- Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
- Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
- Monitor and optimize integrations for performance, scalability, and maintainability.
Client-Facing Services Delivery
- Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client.
- Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business.
- Proactively communicate status, risks, and decisions — updates go out without being asked.
- Build trusted relationships that make scope conversations easier, not harder.
- When scope creeps (and it will), you call it — with a path forward, not just a flag.
Leadership & Collaboration
- Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
- Operate as a peer, not a manager — lift standards through quality of work and direct feedback.
Innovation & AI
- AI as Your Default Toolchain: You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. You don't write code you can automate reviewing.
- Integration Workflows, Augmented: You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation.
- Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team.
Ways of Working
- The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
- WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do.
- If you've always been three steps ahead of your own deadlines, you'll feel right at home.
Required Qualifications
- Consulting Services Experience: 3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. This is non-negotiable. Internal IT delivery experience does not substitute.
- Client-Facing Ownership: Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin.
- API & Microservices Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
- MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
- Autonomous Execution: Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. If you've only worked in highly structured orgs, be honest with yourself about this one.
- AI/LLM Tools & Automation: You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
- DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
- Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
- Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
- MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.
Preferred/Bonus
- Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
- Familiarity with event-driven architectures (Kafka, Pub/Sub).
- Hands-on experience or strong interest in AI/ML pipeline design or integration.
Transform Your Career — the AI-First Way
At Green Irony, you…
- Take full ownership of your work—proactively solve problems and drive deliverables to completion.
- Relentlessly pursue outcomes, measuring success by delivered value, not just output.
- Solve complex problems with practical, innovative solutions.
- Communicate directly, transparently, and with positive intent—focusing on clarity, not politics.
- Grow continuously—mentoring, learning, and automating to expand your impact.
Benefits Snapshot
- Competitive salary + performance bonus
- Medical, dental, and vision coverage
- 401(k) with generous company match
- Flexible PTO and remote-first work environment
- Annual professional development budget (certifications, conferences, AI tools)
- Equipment stipend
Equal Opportunity, Zero BS
Green Irony is an equal opportunity employer committed to building an inclusive team where diverse voices drive better outcomes.
We evaluate all qualified applicants without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, veteran status, disability, or any other protected classification—because the only bias we tolerate is toward delivering excellent work.
Ready to apply?
Apply to Green Irony