Developer in AWS environment
AI in this role
Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors. Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.Skills in AWS Lambda (triggers, scaling, layers)
• AWS Fargate (serverless compute for containers)
• Queuing services (AWS SNS/SQS)
• DB: DynamoDB
• API Gateway, CloudFront
• Orchestration tools like AWS Step Functions, serverless application deployment
• AWS IoT Core
• Knowledge of AWS SAM (Serverless Application Model) or AWS CDK (Cloud
Development Kit) to automate resource deployment and/or Terraform
(Infrastructure as Code)
• Knowledge of AWS IAM for implementing the principle of least privilege, Amazon
Cognito for user management
• Knowledge of automation
• DevOps & Monitoring: Experience with CI/CD pipelines (e.g., CodePipeline,
GitLab CI) and observability tools like Amazon CloudWatch, AWS X-Ray, and
Datadog for troubleshooting
• Good knowledge of development languages used for implementing Lambda
functions: Python, Node.js (JavaScript), Golang, and Java
• You need to have master’s degree in software engineering, computer science,
computer engineering, electrical engineering, or other computer related fields
At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.
How we score this
Developer in AWS environment at Thales scores 31 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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