Senior Software DevOps Engineer (IFE ECS)

Thales Group; Singapore; Hybrid; SGD 150,000 - 190,000; Full time

Job summary

Thales Group in Singapore seeks a Senior Software DevOps Engineer to own end-to-end features, design cloud-native solutions, and drive AI-enabled workflows. You will collaborate with Product, Data/AI, and engineering teams to deliver scalable, secure, and observable services for airline and digital identity platforms.

The ideal candidate has 5–8 years of experience in software engineering, strong Java and REST API skills, and familiarity with LLMs and AI-integrated architectures.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 5–8 years of relevant software engineering experience.
• Strong full-stack development skills with Java and REST APIs.

Responsibilities

• Take end-to-end ownership of complex features from requirements to production support.
• Lead design and architecture of cloud-native applications with scalability and security.
• Design AI-enabled workflows and integrate AI capabilities into enterprise apps.
• Ensure observability, reliability, and maintainable CI/CD pipelines.
• Mentor engineers and evaluate new AI, cloud, and software engineering tech.

Skills

Full-stack development

Core Java

REST APIs

Microservices

Kubernetes

CI/CD

Cloud-native

LLMs

Security

Education

Bachelor’s or Master’s degree in Computer Science or related

Tools

Postman

API gateways

Job description

## Senior Software DevOps Engineer (IFE ECS)Apply: Hybrid: Singapore: Full time: Posted Today: R0340409Location: Singapore, SingaporeThales 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.In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.As a Senior Software DevOps Engineer, you will build our digital product and services that power our Airline customers and continuously improve our engineering practices. You will design, implement and deploy applications and backend business services that will empower passenger experience for our Airline customers and build data analytical solutions for better monitoring and reporting capabilities for our operational support teams. You will be an individual contributor in a high visibility role, positioning you to deliver high impact at Thales Inflyt Experience digital engineering team and challenging you with learning opportunities that will help you grow and accelerate your career.**Essential Functions / Key Areas of Responsibility**Essential Duties and Responsibilities: DevOps Engineer, to design, develop and deploy, and take ownership for the applications and services that are owned by your team. **Responsibilities*** Take **end-to-end technical ownership** of complex features and subsystems, from requirements and architecture through development, testing, deployment, observability, and production support.* Collaborate with **Product Owners, Product Management, Data/AI teams, and engineering squads** to translate business and operational needs into scalable technical solutions.* Lead the **technical design and architecture** of cloud-native applications, ensuring scalability, performance, reliability, security, maintainability, and operational readiness.* Design and integrate **AI-enabled applications and intelligent workflows**, leveraging LLMs, Agentic AI, enterprise APIs, and data platforms where they deliver measurable value.* Apply robust engineering practices to AI-enabled solutions, including **data security, access control, grounding, guardrails, evaluation, observability, performance, and responsible AI**.* Drive **AI-augmented software engineering** across the SDLC, using tools such as **Kiro or equivalent AI-assisted development platforms** for requirements/specification, design, coding, testing, code review, documentation, and troubleshooting while maintaining engineering accountability.* Establish and champion **engineering quality and automation standards** across code quality, API design, automated testing, security, CI/CD, observability, documentation, and AI-assisted development.* Take accountability for **delivery and production quality**, leading design/code reviews, proactively addressing architectural risks, technical debt and performance bottlenecks, and driving issues through resolution.* Mentor and technically guide engineers while continuously evaluating emerging AI, cloud, data, and software engineering technologies and influencing technical decisions that improve engineering productivity and product outcomes.**Requirements** * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.* **5–8 years of relevant software engineering experience.*** Strong programming skills in **full-stack development, Core Java, and REST APIs**.* Good experience in the **design, development, management, and consumption of REST APIs**, including Postman and API gateways.* Experience with **microservices, containers, Kubernetes, orchestration, CI/CD, and cloud-native application development**.* Understanding of **database and data engineering fundamentals**; hands-on experience with PostgreSQL is an added advantage.* Experience or strong understanding of **LLMs and Generative AI**, including integration of LLM capabilities into enterprise applications and workflows.* Understanding of **Agentic AI architectures**, including AI agents, tool/function calling, workflow orchestration, and integration with enterprise APIs and data sources.* Experience building **AI-driven data use cases**, such as conversational analytics, natural-language-to-SQL, automated insights, data summarization, and intelligent decision-support workflows.* Familiarity with **RAG, embeddings, vector databases, prompt engineering, and grounding LLMs with enterprise data** would be an advantage.Understanding of **AI security, data privacy, access control, observability, and responsible use of LLMs** in enterprise environments.* Experience in **security software/domain** and Agile software development.Enjoy translating complex **business, operational, data, and technical requirements into robust and scalable architectures**.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.