Design, develop, and maintain scalable backend services and APIs for AI security monitoring and governance.
Locations (2)
Atlanta, Georgia, United States
Mountain View, California, United States
Compensation
The typical base salary for this role is between USD $141,000– $250,000 per year and it may be eligible for participation in a corporate bonus program.
Responsibilities
Design, develop, and maintain scalable, high-performance backend services and APIs using Go (Golang).
Build cloud-native, distributed microservices supporting enterprise endpoint management, AI security monitoring, and governance workflows.
Design and implement secure, efficient communication between millions of endpoint agents and backend services using gRPC, Protocol Buffers, HTTP/2, and REST APIs.
Optimize concurrency, resource utilization, throughput, and latency across distributed services.
Design secure multi-tenant architectures with strong tenant isolation, authorization, and data protection.
Front-End Developer responsible for building high‑traffic customer facing web applications and delivering robust, scalable systems at Qantas’ Product Innovation Centre.
Responsibilities
Architect and deliver robust, scalable systems that power seamless digital experiences
Ensure fast, secure, and reliable services that support evolving customer expectations
Share responsibility for the quality of the software being built
Achieve desired business outcomes, meeting reliability and performance expectations
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Locations (3)
McLean, Virginia, United States
New York, New York, United States
Richmond, Virginia, United States
Compensation
McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5
New York, NY: $250,800 - $286,200 for Full-stack Engineer 5
Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers
Own and evolve the Apollo Enterprise Router
Drive the supergraph schema lifecycle
Architect, build, and maintain GQL Router plugins
Lead SRE and operational excellence for the federated platform
Own and operate the Kafka estate behind an event-driven integration platform.
Compensation
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Responsibilities
Own the Kafka estate — topic design and naming standards, partitioning and keying strategy, replication, retention and compaction policy, consumer group and offset management, quotas, and broker configuration and upgrades.
Engineer the platform's delivery guarantees in practice: at-least-once and exactly-once semantics, idempotent producers, transactional writes where warranted, dead-letter topics, and self-service replay tooling for recovering from downstream failures.
Build streaming observability: consumer lag, queue depth, throughput and rebalance monitoring; end-to-end correlation-ID tracing across topics; dashboards, service level objectives and alerting.
Plan capacity, cost and retention for a durable log with regulatory audit retention requirements, and tune it as adoption scales across the firm.
Evaluate and integrate vendor-native streaming and change-data-capture mechanisms as the platform's ingress and egress paths mature.
Own and operate the Kafka estate behind an event-driven integration platform, ensuring reliability, observability, and efficient delivery.
Compensation
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Responsibilities
Own the Kafka estate — topic design and naming standards, partitioning and keying strategy, replication, retention and compaction policy, consumer group and offset management, quotas, and broker configuration and upgrades.
Engineer the platform's delivery guarantees in practice: at-least-once and exactly-once semantics, idempotent producers, transactional writes where warranted, dead-letter topics, and self-service replay tooling for recovering from downstream failures.
Build streaming observability: consumer lag, queue depth, throughput and rebalance monitoring; end-to-end correlation-ID tracing across topics; dashboards, service level objectives and alerting.
Plan capacity, cost and retention for a durable log with regulatory audit retention requirements, and tune it as adoption scales across the firm.
Evaluate and integrate vendor-native streaming and change-data-capture mechanisms as the platform's ingress and egress paths mature.
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