What you'll do

As a member of our team, you will:

• Be involved in application development from inception to deployment and operations.

• Decide between Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) for extensive requirements.

• Investigate and resolve complex issues spanning the entire technology stack.

• Proactively improve key application metrics such as uptime, performance, and incident resolution time.

• Drive continuous improvement in areas like monitoring, automation, and performance tuning.

• Apply software engineering principles to scale systems and improve reliability.

• Practice balanced incident response and conduct blameless postmortems.

What you need to succeed

• MS/BS in Computer Science or equivalent experience is helpful but not required.

• Hands-on experience with public clouds like Azure or AWS.

• 7+ years of relevant experience.

• 6+ years managing document databases like MongoDB, Aerospike, or FoundationDB.

• Familiarity with developing AI Agents and bringing to bear A2A, MCP or equivalent experience.

• Proficiency in programming languages such as Java, Python, Go, Perl, or Ruby.

• Expertise in algorithms, data structures, and Unix/Linux systems.

• Experience with Docker, microservices, and container orchestration.

• Familiarity with monitoring tools like Grafana, Prometheus, and New Relic.

• Understanding of DevOps concepts like SLAs, SLOs, and error budgets.

• Preferred: Contributions to open-source big data projects or roles within the Apache Software Foundation or Cloud Native Computing Foundation.