Who We Are
At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction.
We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5.
We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live.
We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.
Cloud Engineering - Software Engineer
Location: Remote (EU/Middle East/North Africa/North America/South America)
Experience Level: 2+ years
Teams Hiring: Reliability Engineering, Continuous Integration, Continuous Deployment, and Data Ingestion
Who We AreAt RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction.
We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5.
We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live.
We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.
The OpportunityAs a Software Engineer in our Cloud Engineering organization, you’ll work on one of four teams critical to the foundation and delivery of our platform:
- Reliability Engineering — Owns observability, incident response analytics, security & compliance enforcement, and service health insights.
- Continuous Integration — Builds and scales pre-integration pipelines, test infrastructure, and build systems to maintain developer velocity.
- Continuous Deployment — Manages CD pipelines, native app packaging, feature flagging, DR, and multi-cloud deployments.
- Data Ingestion (SF Integration) — Owns ingestion pipelines, SQL interfaces, billing, and resource provider framework bridging cloud and service layers.
You’ll collaborate across engineering, product, and customer teams to build robust infrastructure and tools that enable high-velocity, high-confidence software delivery. You’ll also contribute to critical architectural decisions and champion reliability, efficiency, and simplicity in every layer of the stack.
- You have 2+ years of hands-on software development experience.
- You’re language agnostic, comfortable working in whatever stack suits the problem best (e.g., Python, Go, Rust, etc.).
- You understand or are eager to learn cloud-native infrastructure: Kubernetes, containers, CI/CD systems, and infrastructure-as-code.
- You have a strong sense of ownership and engineering maturity—your code runs in production and you want it to stay up.
- You’re comfortable with ambiguity and thrive in environments where problems are not fully scoped.
- You care about developer experience and building the tooling that makes others faster and safer.
- You bring a security-first mindset to how infrastructure and systems are built. (Bonus: familiarity with compliance frameworks like SOC2, ISO 27001, etc.)
- You communicate clearly, seek feedback, and give it thoughtfully.
- You are interested in shared on-call responsibilities, after ramp-up, as part of a culture of ownership and operational excellence.
- Impact – You’ll help shape the platform that underpins data reasoning and intelligent systems at scale.
- Growth – We invest in our people. You’ll work alongside some of the most talented engineers in cloud, distributed systems, and AI infrastructure.
- Autonomy – You’ll have the trust and flexibility to explore, build, and lead from day one.
- Balance – We offer flexible working hours so you can find a rhythm that works for you and your life.
RelationalAI is proud to be an equal opportunity employer. We welcome people of all backgrounds, experiences, and identities. We are committed to building a team that reflects the rich diversity of our customers and communities.
The annual salary range for this position is $150,000 to $200,000. Actual compensation will be determined based on the candidate’s skills, qualifications, experience, and location. Please note that our compensation structure varies by region, and salary ranges may differ accordingly.
Why RelationalAI
RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live.
🌎 Global Benefits at RelationalAI
At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally.
- We are all owners in the company and reward you with a competitive salary and equity.
- Work from anywhere in the world.
- Comprehensive benefits coverage, including global mental health support
- Open PTO – Take the time you need, when you need it.
- Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge.
- Paid parental leave – Supporting new parents as they grow their families.
- We invest in your learning & development
- Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
- A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.
Country Hiring Guidelines:
RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.
Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.
Our People Operations team can help answer any questions about location after starting the recruitment process.
Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here.
California residents applying for positions at RelationalAI can see our Privacy Policy here
RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Top Skills
What We Do
Knowledge Graphs without Compromises
At RelationalAI, we are building the world’s fastest, most scalable, most expressive, most open relational knowledge graph management system (RKGMS), built on top of the world’s only complete relational reasoning engine that uses the knowledge and data captured in enterprise databases to learn and reason.
The results are stunning.
World-class talent driving knowledge graph innovation
We believe that future enterprise systems will be built with relational knowledge graphs as a foundation and that each component of the system will either be learned (via machine learning) or declared (via a reasoner).
The days of instructing the computer, step-by-step, on how to perform a task will be behind us.
Systems built this way, with fewer compute and human resources will increase margins, accelerate growth, and strengthen defensive moats.
At RelationalAI, we have brought together a group of leading researchers, data scientists, computer scientists and software engineers with extensive experience applying novel technologies to a wide range of complex problems in multiple industries.
Our team benefits from this unique combination of in-house expertise and active collaboration with the world’s foremost research institutions in areas ranging from machine learning and operations research to databases and programming languages. This collaboration regularly yields award-winning publications at the most respected academic conferences and journals.
