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About the Role
The Event Streaming team is seeking a Senior Kafka Platform Engineer to lead the evolution of its enterprise event-streaming platform. This role involves driving Confluent Cloud adoption, platform efficiency, and AI-enabled SDLC transformation, providing technical leadership, and building automation to enhance scalability, security, reliability, performance, stability, and developer productivity.
Responsibilities
- Design and build AI agents, custom skills, or equivalent frameworks to automate engineering and operational workflows at scale.
- Leverage AI-powered tools (e.g., Copilot, AI agents) to accelerate development, automate testing, improve code quality, and enable intelligent SDLC workflows aligned to AI-DLC vision.
- Design agentic workflows and multi-agent orchestration patterns to solve complex distributed systems, integration, and operational challenges.
- Act as the senior technical authority for Confluent Platform and Confluent Cloud, providing architecture, design, and implementation guidance to solve complex enterprise integration challenges at scale.
- Lead solution architecture across cross-functional initiatives, ensuring alignment with cloud modernization, resiliency, security, and AI-driven engineering priorities.
- Perform deep-dive analysis of complex production issues, drive root cause identification, and implement sustainable remediation strategies with full documentation.
- Design and build automation frameworks and self-service tools to streamline Kafka operations, reduce manual effort, and improve developer productivity and platform scalability.
- Lead seamless migration of on-prem Kafka workloads to Confluent Cloud using cluster linking, schema portability, and hybrid streaming patterns—ensuring zero business disruption.
- Drive execution across Kafka, infrastructure, security, and application teams to remove dependencies, mitigate risks, and ensure on-time delivery of committed milestones.
- Contribute to enterprise architecture forums, defining and enforcing best practices for event streaming, integration patterns, and platform standardization.
- Establish best practices for testing, reliability, observability, and operational readiness, ensuring high availability and scalable platform performance.
- Identify systemic and architectural risks early, leading mitigation efforts to prevent client impact and ensure platform stability.
- Implement enterprise-grade security controls (mTLS, RBAC, encryption) and drive continuous remediation of vulnerabilities, ensuring compliance with regulatory and audit requirements.
- Interpret technical requirements to build and enhance Kafka configurations, message flows, and integration solutions supporting business-critical applications.
- Partner with distributed teams (including offshore engineering) to ensure consistent standards, efficient delivery, and 24x7 operational support across time zones.
Requirements
- Bachelor’s degree in computer science, Engineering, or related field.
- 10+ years of hands-on software engineering experience with proven technical leadership.
- 5+ years of expertise in large-scale distributed systems and mission-critical infrastructure.
- Strong hands-on experience with GitHub Copilot and other AI-assisted development tools, including advanced prompt engineering and workflow integration to accelerate engineering.
- Proven ability to leverage AI-assisted development (e.g., Copilot, code generation) and build AI-driven agents/workflows to improve team productivity and engineering efficiency.
- Deep expertise in Confluent Kafka (capacity planning, administration, internals, performance tuning).
- Strong experience with Kafka clusters, replication, disaster recovery, and data pipelines.
- Hands-on experience with Kubernetes, Confluent Operator, and cloud-native modernization (GCP).
- Strong development background on Linux/Unix platforms.
- Experience with data modeling and streaming technologies (Avro, Protobuf, JSON Schema).
- Strong automation mindset with hands-on expertise in Python, Ansible, and CI/CD pipelines (Jenkins, DevOps tooling) to drive operational efficiency and reduce manual effort.
- Solid foundation in security engineering (encryption, TLS, certificate and key management).
- Strong focus on observability, reliability, automation, and production readiness with proactive risk mitigation.
- Experience leading architecture and execution across cross-functional, large-scale programs.
- Strong understanding of networking, load balancing, OS fundamentals, and performance optimization.
- Experience in regulated environments (financial services preferred).
- Strong collaboration skills across engineering, architecture, infrastructure, and business teams.
- Experience working with globally distributed/offshore teams.
- Strong Agile delivery experience (Scrum/Kanban/Scaled Agile).
- Strong leadership and soft skills including strategic thinking, decision-making, mentoring/coaching, and driving engineering excellence.
- Excellent communication, influencing, and stakeholder management skills, with ability to align diverse teams toward common goals.
- High ownership mindset with ability to prioritize, multitask, and lead through high-pressure production situations.
- Strong problem-solving skills with a proactive, innovation-driven approach.
- Self-driven, adaptable, and customer-focused with strong relationship management and team-building capabilities.
Skills
- Kafka
- Confluent Platform
- Confluent Cloud
- Java
- Cloud
- Kubernetes
- AI-assisted engineering
- Python
- Ansible
- CI/CD pipelines
- Jenkins
- DevOps tooling
- Avro
- Protobuf
- JSON Schema
- Security engineering
- Encryption
- TLS
- Certificate and key management
- Networking
- Load balancing
- OS fundamentals
- Performance optimization
- Agile
- Scrum
- Kanban
- Scaled Agile
Location
- On-site
Work Type
- Full-time
Experience Level
- Senior
- 10+ years of software engineering experience
- 5+ years of expertise in large-scale distributed systems
Education Level
- Bachelor’s degree in computer science, Engineering, or related field
About the Company
- At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together.