Sr. Software Engineer, Kafka

At Advisor
360°, we build technology that transforms how wealth management firms operate, scale, and serve their clients. As a leading SaaS platform in the fintech space, we’re trusted by some of the largest independent broker-dealers and RIAs to power the full advisor and client experience—from portfolio construction and reporting to compliance and client engagement.

What sets us apart? It's not just the tech (though it's best-in-class). It's the people, the purpose, and the passion behind everything we do. We’re a team of builders, thinkers, and doers who believe that great companies are defined by the stories they tell and the experiences they create—internally and externally. We bring deep industry expertise, a collaborative spirit, and a commitment to innovation as we reshape what’s possible in wealth management.

As we grow, we’re looking for teammates who are ready to roll up their sleeves, think big, and help elevate our brand in a way that reflects the bold ambitions we have for our company and the clients we serve.

Join us, and be part of a company that's not only moving fast—even making it count.

This role is hybrid, requiring three days per week onsite in our Needham, MA headquarters.

We are seeking a Senior Software Engineer to help operate, support, and evolve our internal platform and service integrations. This role has a strong focus on Apache Kafka
, while also working across a broader ecosystem of shared services such as Redis, Auth0, ELK, and Orkes
.

You will act as a platform engineer and technical partner for internal teams, helping them integrate reliably with Kafka and other core services through libraries, services, tooling, and best practices. This role combines deep technical expertise, hands‑on development, and cross‑team collaboration.

• Own and support the Kafka platform used by multiple engineering teams
• Design, build, and maintain shared libraries, SDKs, and services that simplify Kafka integration
• Partner with application teams to design and troubleshoot event‑driven and asynchronous workflows
• Operate and support additional shared services and integrations, including Redis, Auth0, ELK, and Orkes
• Develop integration patterns, reference architectures, and reusable components for internal consumption
• Debug complex production issues spanning messaging, authentication, observability, and orchestration layers
• Establish and promote best practices for Kafka topics, schemas, producers, consumers, and error handling
• Improve reliability, performance, and observability of Kafka and other shared services
• Collaborate with SRE, Dev Ops, and security teams on platform reliability, access controls, and compliance
• Contribute to documentation, examples, and internal enablement efforts

• 5+ years of professional software engineering experience
• Strong, hands‑on experience with Apache Kafka in production environments (required)
• Experience operating or integrating distributed systems at scale
• Proficiency in building backend services and libraries (.NET, Python or similar)
• Experience debugging and supporting complex, multi‑service systems
• Solid understanding of event‑driven and asynchronous architectures
• Strong collaboration and communication skills
• Background in platform engineering, developer experience, or internal tooling
• Preferred experience with other platforms
• Redis (caching, pub/sub, or data access patterns)
• Identity and access management systems (e.g., Auth0)
• Observability stacks such as ELK (Elasticsearch, Logstash, Kibana)
• Workflow orchestration platforms (e.g., Orkes or similar)
• Cloud‑native platforms, Kubernetes, or managed service offerings

• Kafka is reliable, well‑governed, and easy for teams to integrate with
• Internal teams leverage shared libraries and patterns rather than building custom integrations
• Platform and service integrations are observable, secure, and scalable
• Cross‑team dependencies are reduced through clear standards and tooling

It’s not just about work—it’s about building a career and enjoying the ride! Here’s what you can expect:

The estimated base salary range for this position is $152,000–$173,000 plus bonus…