Lead end-to-end technical delivery, owning architecture, implementation, quality and delivery for fleet- and vessel-level solutions. Combine maritime domain awareness with hands-on full‑stack engineering leadership across React, Python, AWS, Snowflake and Kafka to deliver
Key responsibilities
Architecture & technical ownership: Define and evolve platform architecture (frontend, backend, data pipelines, model hosting, edge/ship gateway patterns, CI/CD).
Hands-on delivery: Lead development of React front-end, Python services, streaming and batch data pipelines, and Snowflake analytics; deploy and operate on AWS.
Telemetry ingestion & data engineering: Design robust ingestion, transformation and storage patterns; ensure schema, units, timestamps and provenance are correct.
Real-time processing: Implement and optimise Kafka-based streaming for near-real-time alerts, model feeds and event-driven workflows.
Model operationalisation: Collaborate with SMEs and data scientists to productionise physics and ML models (serving, versioning, monitoring, drift detection).
Frontend UX & visualization: Guide React UI development for dashboards, interactive visualisations and operator workflows; ensure performance and responsiveness.
Data platform & analytics: Design Snowflake schemas, secure access patterns, materialized views and analytics jobs for KPIs and historical analysis.
Testing & quality: Enforce automated testing (unit, integration, contract, E2E); manage staging, canary releases and production smoke checks.
Team leadership: Lead, mentor and grow frontend, backend and data engineers; run code and design reviews and promote best practices.
Stakeholder collaboration: Translate domain
requirements
into technical acceptance criteria and coordinate with Product, SMEs, DevOps and QA. • Delivery & planning: Drive sprint planning, roadmaps, release gates and balance technical debt with feature velocity.
Required qualifications
9+ years software engineering experience with at least 3 years in technical leadership roles delivering complex cloud-native systems.
Strong React expertise (component design, state management, testing, performance).
Proficient in Python for backend and model integration (FastAPI/Flask); experience with containerised deployments.
Hands-on AWS experience (EKS/Lambda/EC2/S3/IAM/CloudWatch or equivalents).
Practical/understanding experience with Kafka (topics, partitions, consumer groups) and building streaming pipelines.
Strong Snowflake or data-warehouse experience (schema design, performance tuning).(preferred)
Deep understanding of time-series processing, ETL/ELT patterns and telemetry semantics.
Familiarity with CI/CD, IaC (Terraform/CloudFormation) and observability stacks.
Excellent communication skills and ability to translate domain needs into technical deliverables.
Bachelor’s degree in Computer Science, Engineering or equivalent experience. Preferred skills
Experience in maritime, shipping, offshore or industrial IIoT/digital twin projects.
Familiarity with time-series databases (InfluxDB/Timescale), model-serving platforms (SageMaker/Triton), and stream processors (Flink/Kafka Streams).
Knowledge of naval concepts and common ship telemetry (shaft torque, speed logs, draft, IMU).
Experience with Snowflake features like Snowpipe, tasks, streams and row-access policies.
Security/compliance knowledge relevant to maritime or critical infrastructure.