Software Engineer developing C#.net applications focused on client deliverables and unit testing requirements in a global tech organization.
About the role
- Technical Lead in hybrid role for Weekday's client, focusing on software development in Java/Python and cybersecurity solutions. Leading initiatives for scalable systems and best practices across teams.
Responsibilities
- Lead the design and development of scalable and secure software solutions using Java/Python.
- Architect and build SaaS-based cybersecurity applications, ensuring high availability, performance, and reliability.
- Provide technical leadership, mentoring, and guidance to the development team.
- Ensure best practices in secure coding, threat modeling, and compliance with industry standards.
- Collaborate with cross-functional teams including Product Management, Security, and DevOps to deliver high-quality security solutions.
- Design and implement security analytics, automation workflows and ITSM integrations.
- Drive continuous improvements in engineering processes, tools, and technologies.
Requirements
- A bachelor’s or master’s degree in computer science, electronics engineering or a related field
- 8-10 years of software development experience, with expertise in Java and/or Python.
- Strong background in building SaaS applications with cloud-native architectures (AWS, GCP, or Azure).
- In-depth understanding of microservices architecture, APIs, and distributed systems.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Knowledge of DevSecOps principles, CI/CD pipelines, and infrastructure as code (Terraform, Ansible, etc.).
- Strong problem-solving skills and ability to work in an agile, fast-paced environment.
- Excellent communication and leadership skills, with a track record of mentoring engineers.
- Experience with cybersecurity solutions, including SIEM (e.g., Splunk, ELK, IBM QRadar) and SOAR (e.g., Palo Alto XSOAR, Swimlane).
- Knowledge of zero-trust security models and secure API development.
- Hands-on experience with machine learning or AI-driven security analytics.
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