RelationalAIRE

Senior Software Engineer - Cloud

RelationalAI provides a knowledge graph coprocessor that empowers organizations to streamline decision-making processes by leveraging their data and organizational knowledge.

RelationalAI

Employee count: 51-200

Salary: 150k-220k USD

CA and US only

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: 6+ years

The Opportunity

As a Senior Software Engineer in our Cloud Engineering organization, you'll take on technically demanding projects, contribute to foundational infrastructure, and influence the direction of mission-critical systems.

You will:

  • Lead the design and implementation of resilient, scalable systems across domains such as observability, incident analytics, security and compliance, CI pipelines, test orchestration, build infrastructure, multi-cloud CD, feature flagging, disaster recovery systems, data pipelines, SQL interfaces, and usage metering frameworks.
  • Mentor junior and mid-level engineers through code reviews, design sessions, and pair programming.
  • Collaborate with product, security, and operations to ensure high-confidence delivery.
  • Own and drive architectural initiatives that simplify and scale platform capabilities.

Who You Are

  • 6+ years of experience building and maintaining production-grade systems.
  • Deep familiarity with cloud-native infrastructure (e.g., Kubernetes, containers, CI/CD, IaC).
  • Comfortable working in multiple languages and selecting tools appropriate to the task.
  • Demonstrated success leading complex technical projects from design to production.
  • Strong engineering maturity and a track record of ownership and accountability.
  • Advocate for security, reliability, and performance in every design.
  • Excellent communication and collaboration skills.
  • Willing to participate in shared on-call rotations post-ramp-up.

(Bonus points for familiarity with compliance frameworks like SOC2, ISO 27001, or similar and bonus points for experience with Snowflake)

Why Join RelationalAI

  • Innovation & Agility – Operate with the pace and adaptability of a startup, where ideas are valued, iteration is fast, and there’s ample room to innovate across the stack.
  • 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.
  • Transparency & Speed – We move quickly. Expect a short screening process followed by a 4–5 stage interview loop, with full transparency on compensation and expectations throughout.

Our Annual Salary range for this position is $150,000 to $220,000.

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 Policyhere.

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.

About the job

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Job type

Full Time

Experience level

Senior

Salary

Salary: 150k-220k USD

Location requirements

Hiring timezones

NA +/- 0 hours

About RelationalAI

Learn more about RelationalAI and their company culture.

View company profile

RelationalAI is a cutting-edge company that specializes in providing a Knowledge Graph Coprocessor designed for modern data environments. Founded in 2017 and headquartered in Berkeley, California, it aims to enhance the way businesses make decisions by operationalizing their knowledge bases using sophisticated AI techniques. The company's primary offering is its relational knowledge graph management system, which facilitates advanced analytics, reasoning, and machine learning capabilities, all while integrating seamlessly with major cloud data platforms, such as Snowflake.

The core product of RelationalAI allows organizations to manage their interconnected data more effectively. By capturing organizational knowledge in a graph format, businesses can uncover hidden insights, predict outcomes, and enhance their decision-making processes. Its powerful tools support graph analytics, rules-based reasoning, and mathematical optimization, enabling users to optimize across domains such as fraud detection, supply chain management, and customer insights. As companies increasingly shift to data-driven strategies, RelationalAI positions itself as a vital resource for leveraging comprehensive data models and supporting complex business operations through AI-enhanced algorithms.

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RelationalAI hiring Senior Software Engineer - Cloud • Remote (Work from Home) | Himalayas