Senior Technical Lead

Capgemini Engineering; Chennai District; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Capgemini Engineering in Chennai leads the development of fleet and vessel intelligence platforms using cloud, data engineering, and real-time analytics. You will own end-to-end technical delivery, mentoring teams and driving scalable, cloud-native solutions across React, Python, AWS, Kafka, and Snowflake.

You will collaborate with product teams, ensure data quality and observability, and guide the engineering discipline from design through production validation.

Qualifications

• 8+ years of software engineering experience with leadership in technical roles.
• Strong React, Python, AWS, Kafka and Snowflake expertise.
• Experience building data pipelines, telemetry, and time-series data processing.

Responsibilities

• Own end-to-end technical delivery of fleet and vessel solutions.
• Define platform architecture across frontend, backend, data pipelines, and cloud infra.
• Mentor frontend, backend, and data engineering teams through reviews and guidance.
• Drive CI/CD, automated testing, and production validation practices.
• Collaborate with data scientists and product teams to productionize ML models.

Skills

React

Python

AWS

Kafka

Snowflake

CI/CD

Leadership

Mentoring

Communication

Data engineering

Education

Bachelor's degree in Computer Science or related

Tools

Terraform

CloudFormation

SageMaker

TimescaleDB

InfluxDB

Kafka Streams

Snowpipe

Job description

Join us to lead the development of next-generation fleet and vessel intelligence platforms that leverage cloud, data engineering, real-time streaming, and advanced analytics. This role offers the opportunity to drive technical strategy, mentor high-performing engineering teams, and deliver scalable maritime technology solutions with measurable business impact.

Your Role

As a Technical Lead, you will own the end-to-end technical delivery of fleet and vessel-level solutions, driving architecture, development, quality, and operational excellence. You will combine hands-on engineering expertise with technical leadership across React, Python, AWS, Kafka, and Snowflake to build highly scalable and reliable digital platforms.

In this role, you will:

• Define and evolve platform architecture across frontend, backend, data pipelines, analytics, model hosting, and cloud infrastructure.
• Lead the development of React-based applications, Python microservices, and cloud-native solutions deployed on AWS.
• Design and implement robust telemetry ingestion, transformation, and storage frameworks ensuring data quality, lineage, and consistency.
• Build and optimize Kafka-based streaming pipelines for near real-time alerts, event processing, and analytics workflows.
• Collaborate with data scientists and domain experts to productionize ML and physics-based models, including monitoring, versioning, and performance optimization.
• Guide UI/UX implementation for dashboards, operational workflows, and data visualization solutions ensuring high performance and responsiveness.
• Design and optimize Snowflake data models, secure access strategies, analytics pipelines, and reporting solutions.
• Establish observability, monitoring, alerting, security controls, secrets management, and role-based access mechanisms.
• Drive engineering excellence through automated testing, CI/CD pipelines, canary deployments, and production validation practices.
• Mentor frontend, backend, and data engineering teams through technical guidance, code reviews, and design reviews.
• Partner with Product, SMEs, QA, and DevOps teams to translate business requirements into scalable technical solutions.
• Lead sprint planning, roadmap execution, release governance, and technical debt management while ensuring predictable delivery.

Your Profile

• 8+ years of software engineering experience with a minimum of 3 years in a Technical Lead or equivalent leadership role.
• Strong expertise in React, including component architecture, state management, performance optimization, and testing.
• Proficiency in Python backend development using frameworks such as FastAPI or Flask.
• Hands-on experience with AWS services including EKS, Lambda, EC2, S3, IAM, and CloudWatch.
• Practical experience with Kafka, including topics, partitions, consumer groups, and streaming architecture design.
• Strong experience in Snowflake or modern cloud data warehouse technologies, including schema design and performance tuning.
• Deep understanding of time-series data processing, telemetry systems, ETL/ELT pipelines, and large-scale data engineering.
• Experience with CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and observability platforms.
• Excellent communication, stakeholder management, and leadership skills.
• Bachelor's degree in Computer Science, Engineering, or a related discipline.

Preferred Skills

• Experience in maritime, shipping, industrial IoT, offshore, or digital twin platforms.
• Knowledge of time-series databases such as InfluxDB or TimescaleDB.
• Experience with model-serving platforms including SageMaker, Triton, or similar technologies.
• Familiarity with stream processing frameworks such as Kafka Streams or Apache Flink.
• Understanding of vessel telemetry and maritime operational systems.
• Experience with Snowflake capabilities such as Snowpipe, Streams, Tasks, and Row Access Policies.
• Knowledge of security, compliance, and governance practices for critical infrastructure environments.

What You'll Love About Working Here

• Opportunity to architect and deliver cutting-edge maritime technology platforms.
• Exposure to modern cloud-native, streaming, analytics, and machine learning ecosystems.
• Collaborative environment focused on innovation, ownership, and continuous learning.
• Career growth opportunities through technical leadership, mentoring, and large-scale transformation programs.
• Work alongside multidisciplinary teams building high-impact solutions for a global customer base.

About Us

We are building intelligent digital platforms that help organizations transform operations through real-time data, advanced analytics, and cloud-native technologies. Our teams combine domain expertise, engineering excellence, and innovation to deliver scalable solutions that drive operational efficiency, reliability, and business value across complex industries.