Solutions Architect

Redpanda Data; United States; Remote; USD 175,000 - 206,000; Full time

Job summary

Redpanda Data is seeking a Solutions Architect for our Customer Success Engineering team. You will help customers deploy and optimize Redpanda products, architect end-to-end streaming systems, and build reusable tooling and content.

You have 7+ years in customer-facing roles with distributed systems, strong consulting, and multi-language prototyping skills. Travel up to 25% is required, with remote-first flexibility.

Qualifications

• 7+ years in a customer-facing role working hands-on with distributed systems technologies similar to Redpanda
• Experience creating blog content and/or documentation on production use cases and solutions
• Outstanding consulting skills, able to switch between internal teams and customers, from code to whiteboard
• Comfortable prototyping solutions in multiple languages (Java, Python, Go, JavaScript)
• Experience with distributed systems such as Kafka, Spark, Hadoop, Cassandra
• Good understanding of security tech (TLS, SASL, Kerberos, OAuth, OIDC)
• Knowledge of AWS, GCP, and Azure cloud vendors
• Understanding of HA/DR fundamentals and designing HA/DR solutions
• Passion for solving complex tech problems and modern data streaming tech
• Strong ability to build relationships with partners, customers, and OSS users
• Collaborative spirit and translating customer feedback into action
• Willingness to travel up to 25%
• Experience with Kubernetes or Ansible is a plus

Responsibilities

• Run workshops with customers and help set them up on Redpanda products
• Architect end-to-end data streaming systems with Redpanda as core solution
• Build content and best practices for internal and external audiences
• Onboard new customers and drive success with existing ones
• Design production-ready streaming architectures meeting performance goals
• Collaborate with product, engineering, and support to resolve production issues
• Create tooling and automation for reuse across multiple customers
• Identify and remove barriers to production readiness and scalability

Job description

Redpanda is the first runtime and control plane for agent-data interaction — a unified platform that combines streaming, SQL analytics, and intelligent connectivity with the governance layer enterprise AI agents need in production.

Built on infrastructure already trusted by Fortune 500 companies and fast‑growing startups, Redpanda enforces governance entirely outside the agent’s data path, controlling what agents see, limiting what they do, and capturing a tamper‑proof record of everything they touch, so organizations never have to choose between innovation and control.

About the Role

Come and join our rapidly growing Customer Success Engineering team! As a Solutions Architect, you will help us ensure the success of Redpanda customers. This could range from running workshops with customers to getting them up and running on Redpanda products, and/or helping to architect a full end‑to‑end data streaming system with Redpanda as the core solution.

You Will:

• Spend time working with our products to build new partner or technology integrations, use cases, and automation capabilities with our customers

• Be prolific in sharing content and best practices both internally and externally

• Work alongside the Customer Success team to onboard new customers and work with existing customers to drive their success and excellence

• Design and implement production‑ready streaming architectures that solve customer business problems and meet their performance, reliability, and scalability requirements

• Partner with Redpanda product management, engineering, and support teams to solve customer challenges and improve customer experience

• Identify and resolve technical barriers to production readiness, performance optimization, and expanded use cases

• Build tooling, automation and other technical assets that can be re‑used by multiple customers to improve their Redpanda experience

You Have:

• 7+ years of prior experience in a customer facing role working hands on with distributed systems technologies similar to Redpanda

• Experience with creating blog content and/or documentation on the production use cases and solutions

• Outstanding consulting skills, able to easily context switch between internal teams and customers, from code to whiteboard, from support to engineering

• Comfortable developing/prototyping solutions in many different languages (e.g., Java, Python, Go, and Javascript)

• Experience working with distributed systems such as Kafka, Spark, Hadoop, Cassandra, etc

• Good understanding of security technology (TLS, SASL, Kerberos, OAuth, OIDC etc.)

• Knowledge of different cloud vendors ( AWS, GCP and Azure)

• An Understanding of the fundamentals of high availability and disaster recovery and are able to design HA/DR solutions to meet customer needs and constraints

• Passion for working on complex technical problems and have a strong understanding of modern data infrastructures and streaming technologies

• Strong ability to build relationships with our partners, customers, and open‑source users

• Collaborative spirit and enjoy making sure each team gets customer feedback to provide great customer experience

• Flexibility to travel to meet customers, attend events or conferences (up to 25%)

• Experience with Kubernetes or Ansible a plus

U.S. base salary range for this role is $175,000 - $206,000, not including bonus and/or commission. Our salary ranges are determined by role, level, and location. As a remote‑first company, we strive to consider each candidate’s job‑related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

Join Redpanda if you’d enjoy being part of a fast‑moving, diverse, people‑first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness. You’ll dive into a nimble, high‑impact team with the latest AI tools — and the budget to actually use them.