Backend Engineering Lead/Senior Associate Director, Software

We are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Software Engineering Specialist.

In this role, you will:

• Own solution architecture for high-performance data pipelines and microservices, covering non-functional requirements (resilience, scalability, latency, observability, security).
• Define and drive modernization roadmaps (re-platform, refactor, microservices decomposition), ensuring minimal disruption to live services.
• Establish engineering standards for API design, event-driven integration, data modelling, testing strategy, CI/CD, and operational readiness.
• Manage technical debt with clear prioritization and measurable outcomes.
• Architect, design, and build core services using Java (8+), Spring Boot 3, JPA, PostgreSQL (or any RDBMS), and event streaming patterns.
• Lead real-time processing implementations using Apache Flink (and/or Apache Beam) where appropriate.
• Partner with engineers in code reviews, pair debugging, performance tuning, and production incident resolution.
• Build automation for engineering efficiency (scripting, tooling, testing), leveraging Python where needed.
• Drive engineering delivery on GCP: Dataflow, Pub/Sub, GCS, Composer/Airflow, BigQuery (and/or ClickHouse), and GKE.
• Own operational excellence for production workloads: monitoring, alerting, capacity planning, reliability improvements, and cost optimization.

To be successful in this role, you should meet the following requirements:

• 15+ years in software engineering, including significant experience designing and delivering distributed systems and data-intensive applications.
• Strong hands-on Java experience (recent and demonstrable) with Spring Boot, REST/event-driven services, ORM (JPA/Hibernate), and SQL performance tuning.
• Proven system design skills: microservices patterns, async messaging, idempotency, consistency models, caching, rate limiting, and failure handling.
• Solid experience delivering cloud-native solutions, preferably GCP (or equivalent cloud with ability to translate).
• Clear communicator; able to align architecture decisions with business priorities and operational constraints.
• Kubernetes and deployment tooling: GKE, Helm, CI/CD pipelines.
• Observability: Prometheus, Grafana, Stackdriver/Cloud Monitoring, distributed tracing.
• Security practices in cloud/Kubernetes: secrets management, IAM, network segmentation, secure SDLC.
• Front-end exposure (helpful, not essential): React, TypeScript.

Skills

GCP, GKE, Google Cloud Platform, Java, Kubernetes, Spring Boot