Technical Lead-Python ReactJS with AWS

Capgemini Engineering; Chennai District; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Capgemini Engineering in Chennai seeks a senior engineering leader to own end-to-end technical delivery of fleet- and vessel-level solutions, combining maritime domain awareness with hands-on leadership across React, Python, AWS, Snowflake and Kafka.

You will define platform architecture, guide frontend UI, data pipelines and model integration, establish CI/CD, ensure security and observability, and mentor a growing team of frontend, backend and data engineers.

Qualifications

• 9+ years software engineering with 3+ years in technical leadership.
• Proficient in Python backend and model integration (FastAPI/Flask).
• Hands-on AWS experience (EKS/Lambda/EC2/S3/IAM/CloudWatch).
• Practical experience with Kafka and building streaming pipelines.
• Snowflake or data-warehouse experience; schema design & performance.
• Knowledge of CI/CD and IaC (Terraform/CloudFormation).
• Strong communication and ability to translate domain needs into deliverables.
• Bachelor’s degree in CS/Engineering or equivalent.

Responsibilities

• Define and evolve platform architecture (frontend, backend, data pipelines, model hosting).
• Lead development of React frontend, Python services, streaming pipelines, and Snowflake analytics; deploy on AWS.
• Design ingestion, transformation and storage patterns with correct schema and provenance.
• Implement Kafka-based streaming for near-real-time alerts and event-driven workflows.
• Collaborate with data scientists to productionise physics and ML models (serving, versioning, monitoring).
• Guide React UI for dashboards, visualisations and operator workflows with performance in mind.
• Design Snowflake schemas, secure access, materialised views and analytics jobs for KPIs.
• Implement observability, RBAC, encryption and secrets management; ensure testing and quality.
• Mentor and grow frontend, backend and data engineers; drive code/design reviews.
• Coordinate with Product, SMEs, DevOps and QA; drive sprint planning and roadmaps.
• Translate domain requirements into technical acceptance criteria.

Skills

Technical leadership

Python backend

AWS

Kafka

Snowflake

CI/CD

IaC

Data engineering

Education

Bachelor’s degree in CS/Engineering

Tools

React

FastAPI/Flask

Docker

Kubernetes

Snowflake

Kafka

Terraform

CloudFormation

Job description

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, materialised views and analytics jobs for KPIs and historical analysis.
• Reliability & security: Implement observability, alerting, retries, backpressure handling, encryption, secrets management and RBAC.
• 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.
• 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.