This intermediate IT Network Engineer independently solves a range of technical business problems and contributes to challenging projects requiring deep knowledge in their area. You will design, build, test, and implement resilient solutions, evaluate new technologies, and contribute to technical documentation and standards.
Responsibilities
Serve as a Tier 3/4 technical escalation point for critical network incidents, performance bottlenecks, and post-mortem root cause analyses.
Design, validate, and test PoCs in lab environments to evaluate emerging network tools, protocols, and vendor solutions.
Communicates and presents complex information, issues, and potential solutions on assigned projects and to cross-functional teams.
Maintain comprehensive network diagrams, topology specs, and runbooks to ensure operational readiness across teams.
Ensure technology designs adhere to the organization’s architectural strategy, policies, and direction.
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent work experience
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.
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.
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.
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.