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Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
Who You Are:
This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
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Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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*** This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts
*** C'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.
We’re looking for a Java Developer to design, build, and scale backend services that power our products and internal platforms. You’ll work closely with product, design, and data to ship reliable features, improve performance, and raise our engineering bar.
Build and operate backend services and REST APIs in Java (preferably Java 17+) using Spring Boot.
Contribute across the lifecycle: discovery, technical design, implementation, testing, deployment, and support.
Improve reliability, security, and observability as part of how we build — not as an afterthought.
Design, implement, and maintain microservices and REST APIs with Spring Boot.
Write clean, maintainable, and well-tested code (JUnit 5, Mockito), and review peers’ code for quality and clarity.
Model data and optimize queries in SQL (PostgreSQL/MySQL); leverage caching (e.g., Redis) for performance.
Build event-driven features using messaging (e.g., Kafka or RabbitMQ) where it fits the problem.
Instrument services with logs, metrics, and traces (OpenTelemetry/Prometheus/Grafana) and resolve production issues with data.
Apply secure-by-default practices (OAuth2/OIDC, secrets management, OWASP Top 10 mitigations).
Automate builds and releases via CI/CD (GitHub Actions/Jenkins/CircleCI); containerize with Docker and deploy to Kubernetes.
Partner with product and design to refine requirements and break down work into iterative deliveries.
Author and review concise technical design docs; participate in architecture discussions.
Take ownership of services in production, including participating in on-call rotations where applicable.
Proficiency in Java and the Spring ecosystem (Spring Boot, Spring Data, Spring Security).
Hands-on experience building and operating microservices and REST APIs in production.
Strong grasp of relational data modeling and SQL; familiarity with performance tuning.
Working knowledge of cloud platforms (AWS/GCP/Azure) and basic infrastructure concepts.
Confidence with Git workflows, code reviews, and trunk- or GitFlow-based development.
Solid testing practices: unit, integration, and contract testing; comfort with test automation.
Clear communication, collaborative approach, and a practical mindset focused on outcomes.
Event-driven architecture with Kafka; stream processing patterns.
Domain-driven design (DDD) and pragmatic service boundaries.
Deeper observability (SLOs, RED/Golden signals, alert design) and production readiness checklists.
Security fundamentals: OAuth2, JWT, mTLS, and dependency vulnerability management.
Kubernetes operations, Helm, and infrastructure-as-code (e.g., Terraform).
Experience with feature flags, gradual rollouts, and experimentation.
Exposure to GraphQL or gRPC; basic scripting in Python/Go for tooling.
Lightweight Agile with two-week sprints, async-friendly communication, and written decision records (RFCs).
Ship iteratively behind feature flags; measure impact and learn quickly.
Remote-friendly collaboration with clear ownership and frequent demos.
30 days: Local dev environment set up. Shipped a small change. Contributed to code reviews and on-call shadowing.
60 days: Delivered an end-to-end feature. Improved tests and observability for a service you touch.
90 days: Led a scoped design/RFC. Reduced toil or improved performance/reliability on a critical path.
Typically 3+ years of professional experience (or equivalent proficiency) building backend services with Java and Spring Boot.
Demonstrated experience owning services in production.
Open to [Remote/Hybrid/Onsite]. Working hours aligned to [Time Zone/Region]. Some team ceremonies may fall within core hours.
Base salary range: Senior Level / $120-$150k.
Equity/bonus: [If applicable].
Benefits: [Healthcare, retirement, paid time off, parental leave, learning budget, home office stipend, etc.].
Recruiter screen (role fit, logistics).
Hiring manager conversation (experience, collaboration, delivery).
Technical deep dive (Java/Spring, APIs, data modeling).
Systems design interview (architecture, trade-offs, scalability).
Team panel and values interview.
Offer and references.
We’re an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of any protected characteristic. If you need a reasonable accommodation during the application or interview process, please let us know.
Example corp has taken great measures to make sure that every employee is compensated fairly and therefore, pay transparency even before we receive your application is important to us. We've consulted 3 different data sources to triangulate a range commiserate with location and experience.
*** Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts
*** Semblable à l'introduction qui peut précéder toutes les descriptions de poste, une outro peut également être formatée pour la cohérence sur tous les messages
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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:
What Sets You Up for Success:
Bonus Skills to Stand Out:
Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000
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
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.
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