Engineering Lead
7 days ago
We are seeking a highly skilled
Engineering Lead
with a strong background in software development, cloud technologies, and modern engineering practices. The ideal candidate will provide technical leadership across the full software development lifecycle while guiding teams in delivering high-quality, scalable, and secure solutions. This role requires deep expertise in Java, Python, cloud platforms, DevOps, and best-practice engineering methodologies.
Key Responsibilities
- Lead and mentor engineering teams throughout the full software development lifecycle.
- Architect, design, and implement high-quality applications using
Java (Spring Boot)
and
Python
. - Drive adoption of best practices in software engineering, version control, CI/CD, cloud services, and automation.
- Oversee and contribute to the development of backend services, systems integration, and cloud-native solutions.
- Collaborate with cross-functional teams including Product, QA, Architecture, and DevOps.
- Ensure the delivery of scalable, secure, and maintainable solutions aligned to business requirements.
- Implement and maintain CI/CD pipelines, preferably using
Azure DevOps
. - Manage code quality, reviews, and version control processes (GitHub / Azure DevOps).
- Support deployment and monitoring of cloud resources (Azure Functions or AWS Lambda).
- Optional: Provide guidance on automating workflows using
Microsoft Power Automate
.
Required Technical Skills
- Full understanding of the software development lifecycle (SDLC).
- Java programming
with strong hands-on experience in
Spring Boot
. - Python programming
, including experience with
LangChain
and other modern frameworks. - Cloud certification
in either: - Azure Fundamentals
with hands-on experience in
Azure Functions
, or - AWS Cloud Practitioner
with experience in
AWS Lambda
. - Strong experience with
Version Control
tools (GitHub / Azure DevOps). - Proven experience building and managing
CI/CD pipelines
(preferably Azure DevOps). - Working knowledge of cloud architectures, integrations, and microservices.
- Optional: Experience using
Microsoft Power Automate
.
Skills Required
- Azure DevOps
- Azure CI/CD Pipelines
- Java (Spring Boot)
- Python (incl. LangChain)
- Azure
- AWS Cloud Practitioner with Lambda
- Software Development Life Cycle (SDLC)
- GitHub / Azure DevOps
- Microsoft Power Automate (optional)
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