You will set technical direction, modernize legacy estates, and stay close enough to the code to unblock teams and raise engineering quality,especially in Java/Spring Boot and distributed system design.

Key Responsibilities:

• Technical leadership & architecture: Own solution architecture for high-performance data pipelines and microservices, covering non-functional requirements.
• Define and drive modernization roadmaps, 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.

Hands-on Delivery (Java-centric):

• Architect, Design and build core services using Java (8+), Spring Boot 3, JPA, PostgreSQL, and event streaming patterns.
• Lead real-time processing implementations using Apache Flink.
• Partner with engineers in code reviews, pair debugging, performance tuning, and production incident resolution.
• Build automation for engineering efficiency.

Cloud, Data & Platform Engineering (GCP):

• Drive engineering delivery on GCP: Dataflow, Pub/Sub, GCS, Composer/Airflow, BigQuery, and GKE.
• Own operational excellence for production workloads: monitoring, alerting, capacity planning, reliability improvements and cost optimization.
• Ensure data quality, integrity, lineage and security controls across pipelines and downstream consumption.

People Leadership & Stakeholder Management:

• Coach and mentor engineers across levels; build a culture of craftsmanship, accountability, and continuous improvement.
• Communicate effectively with senior stakeholders,translating business outcomes into technical plans and delivery milestones.
• Proactively manage risks, dependencies and delivery impediments.

Required Skills & Experience:

• 15+ years in software engineering, including significant experience designing and delivering distributed systems and data-intensive applications.
• Strong hands-on Java experience with Spring Boot, REST/event-driven services, ORM, 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.
• Strong troubleshooting ability across applications, data, infrastructure and performance layers.
• Clear communicator; able to align architecture decisions with business priorities and operational constraints.

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The successful candidate will have strong technology leadership with proven system design capability and hands-on Java engineering experience.

Key Responsibilities:

• Technical leadership & architecture: Own solution architecture for high-performance data pipelines and microservices, covering non-functional requirements.
• Define and drive modernization roadmaps, 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.

Hands-on delivery (Java-centric):

• Architect, Design and build core services using Java (8+), Spring Boot 3, JPA, PostgreSQL and event streaming patterns.
• Lead real-time processing implementations using Apache Flink and/or Apache Beam.
• Partner with engineers in code reviews, pair debugging, performance tuning, and production incident resolution.
• Build automation for engineering efficiency using scripting, tooling, and testing, leveraging Python where needed.

Cloud, data & platform engineering (GCP):

• Drive engineering delivery on GCP: Dataflow, Pub/Sub, GCS, Composer/Airflow, BigQuery and GKE.
• Own operational excellence for production workloads: monitoring, alerting, capacity planning, reliability improvements and cost optimization.
• Ensure data quality, integrity, lineage and security controls across pipelines and downstream consumption.

People leadership & stakeholder management:

• Coach and mentor engineers across levels; build a culture of craftsmanship, accountability, and continuous improvement.
• Communicate effectively with senior stakeholders,translating business outcomes into technical plans and delivery milestones.
• Proactively manage risks, dependencies and delivery impediments with clear mitigation and escalation paths.

Required skills & experience:

• 15+ years in software engineering, including significant experience designing and delivering distributed systems and data-intensive applications.
• Strong hands-on Java experience with Spring Boot, REST/event-driven services, ORM 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.
• Strong troubleshooting ability across applications, data, infrastructure and performance layers.
• Clear communicator; able to align architecture decisions with business priorities and operational constraints.

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Key Responsibilities:

• Technical leadership & architecture: Own solution architecture for high-performance data pipelines and microservices, covering non-functional requirements.
• Define and drive modernization roadmaps, 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.

Hands-on delivery (Java-centric):

• Architect, Design and build core services using Java (8+), Spring Boot 3, JPA, PostgreSQL and event streaming patterns.
• Lead real-time processing implementations using Apache Flink and/or Apache Beam.
• Partner with engineers in code reviews, pair debugging, performance tuning, and production incident resolution.
• Build automation for engineering efficiency using scripting, tooling, and testing, leveraging Python where needed.

Cloud, data & platform engineering (GCP):

• 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.
• Ensure data quality, integrity, lineage and security controls across pipelines and downstream consumption.

People leadership & stakeholder management:

• Coach and mentor engineers across levels; build a culture of craftsmanship, accountability, and continuous improvement.
• Communicate effectively with senior stakeholders,translating business outcomes into technical plans and delivery milestones.
• Proactively manage risks, dependencies and delivery impediments with clear mitigation and escalation paths.

Required skills & experience:

• 15+ years in software engineering, including significant experience designing and delivering distributed systems and data-intensive applications.
• Strong hands-on Java experience with Spring Boot, REST/event-driven services, ORM 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.
• Strong troubleshooting ability across applications, data, infrastructure and performance layers.
• Clear communicator; able to align architecture decisions with business priorities and operational constraints.

XML job scraping automation by YubHub