we are looking for a hands-on Tech Lead to join our R&D. Reporting directly to the Chief Architect, you will step into a rare opportunity with a fast-growing company to shape the technical future of our platform. You will serve as a technical anchor for the organization, driving the architectural evolution of our high-scale, cloud-native infrastructure built on AWS and Kubernetes, while pioneering the integration of AI across our product and engineering workflows.
Responsibilities:
Drive the technical roadmap for Firefly's platform, working closely with the Chief Architect: architecting new systems and features and continuously improving existing ones.
Lead architectural decisions across the platform's core surfaces: services, data pipelines, workflow orchestration, and multi-tenant infrastructure.
Stay hands-on in the code: build critical components, prototype new capabilities, and lead by example inside the development teams.
Establish the platform foundations: shared services, libraries, and standards used across teams.
Architect AI-powered capabilities into Firefly's product and drive AI-assisted development workflows that amplify engineering productivity across the org.
Drive end-to-end technical solutions, from API design and service boundaries to data modeling and deployment.
Build proofs-of-concept for critical paths and high-risk decisions, and act as the technical anchor for projects from design through delivery.
Write design documents, RFCs, and architectural decision records that drive cross-team alignment and capture the reasoning behind technical decisions.
Mentor engineers across teams through design and code reviews, and act as a focal point for technical questions across R&D.
Requirements: 8+ years of recent, hands-on experience designing and building large-scale distributed systems, with strong understanding of microservices, event-driven systems, and SaaS architecture patterns.
Expertise in data architecture: schema design, indexing, and data governance.
Strong backend development experience (Go, Java, or similar).
Hands-on expertise across modern data stores: relational, document, and search (e.g., PostgreSQL, MongoDB, Elasticsearch).
Strong API design skills and experience with both synchronous and asynchronous service communication (REST, gRPC, Kafka).
Hands-on experience with cloud-native environments and workload management tools (Kubernetes, AWS/GCP/Azure, or similar).
Experience designing observability for distributed systems (metrics, logs, traces) with tools like OpenTelemetry, Prometheus, and Grafana.
Experience leading architectural decisions across multiple engineering teams, writing design documents, and bridging between product, business, and engineering.
Strong hands-on experience with AI coding agents, with the ability to design, drive, and enhance AI-assisted development workflows across engineering teams.
Advantages:
Strong understanding of LLM-based application development and agent design, including tool execution frameworks and runtime safety.
Experience with workflow orchestration engines such as Temporal or Cadence.
Familiarity with Infrastructure-as-Code tooling (Terraform, OpenTofu) and CI/CD pipelines.
Background in cloud asset management, CSPM, or cloud security domains.
This position is open to all candidates.