Quick overview
Job description
Position: Sr. Platform Engineer - Confluent Kafka, AWS & Kubernetes
Location: Charlotte , NC [OR] Irvine, CA (Choose Any 1)
HYBRID: In-office 3 days per week
Duration: DIRECT HIRE – FULL TIME
Requirements:
- Integration & Messaging Technologies (Kafka / Confluent Cloud / MSK / Messaging Streaming Platforms): Minimum 3+ years designing, deploying, operating and troubleshooting enterprise messaging platforms. Strong hands-on Confluent Cloud/Kafka experience preferred.
- Platform Engineering / Cloud Infrastructure (AWS + Kubernetes): 8+ years building cloud platform infrastructure with Kubernetes and AWS services (Route53, ELB, ALB), supporting highly available distributed applications.
- Software Engineering (Java/Spring Boot, REST APIs, OpenAPI/Swagger): Full-stack engineering experience building developer productivity platforms and integration services using Java/Spring Boot, REST APIs, OpenAPI/Swagger, Python plus modern front-end technologies.
- Infrastructure as Code / DevOps Automation: Terraform, GitOps, CI/CD, Harness (preferred), secure coding, automated deployments, testing, observability, tracing and alerting.
- Platform Architecture & Engineering Leadership: Experience leading platform engineering initiatives, mentoring engineers, driving engineering standards, collaborating across Product, Security and Platform teams.
- Strong communication and ability to lead projects and such, as this is a Senior level IC Role.
Description:
- Looking for a Senior Platform Engineer specializing in integration, messaging, and streaming platforms. You will architect, develop, and optimize secure, scalable, and highly available platforms that support foundational business applications and services.
- You will partner with software engineers, platform engineers, product managers, and business stakeholders to deliver capabilities across the Internal Developer Platform lifecycle. You will also collaborate with security, risk, and compliance teams to protect the enterprise.
- This role focuses on engineering excellence, automation, developer self-service, platform reliability, and continuous improvement across integration middleware and messaging solutions.
Skills/Experience Needed:
- 8+ years of experience in platform architecture or systems engineering across public and private cloud environments.
- Experience as a Full stack developer with OpenAPI, Swagger, REST APIs to develop “Platform/Developer productivity utilities” with Java/SpringBoot, Python, REACT , angular and any database like PostgreSQL , DynamoDB.
- Hands on experience leveraging AI assisted development tools, automation agents, or platform level AI capabilities to improve engineering productivity, reliability, and scale, while complying with approved enterprise AI platforms, security controls, and audit requirement.
- Proficient in development and engineering practices such as GitOps, CI/CD, testing, secure coding, Git, tracing, and alerting.
- Hands-on experience with Kubernetes and AWS services like Route53, ELB, and ALB for deploying stateful geo-distributed applications, utilizing industry-standard CI/CD tools (Harness preferred).
- At least 3 years of preferred experience with Confluent Cloud/Kafka , API gateway, MSK, Messaging Streaming Platform, including designing, deploying with IaC on a public cloud, and troubleshooting issues.
- Knowledgeable in enabling observability for distributed platforms.
- Experience in developing Infrastructure as Code with configuration management platforms like Terraform.
- Understanding of TLS certificate chains and the TLS security framework.
- Experienced in Agile/SCRUM methodologies with a focus on product delivery.
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