Job Title: Senior Engineer – CloudLocation: Austin, TX (Onsite preferred; open to discussing hybrid/remote for exceptional candidates)About Us:Leoforce is the innovative company behind Ira, the AI-powered recruiting technology that revolutionizes talent discovery and engagement. At Leoforce, we empower recruiters and job seekers with responsible AI, delivering unbiased, data-driven results. Our workplace is built on respect, integrity, and the freedom to innovate.Why Join Us?- Career Growth: Opportunities for professional and personal advancement in a rapidly evolving industry.- Cutting-Edge Technology: Work on revolutionary AI solutions that redefine talent acquisition.- Collaborative Environment: A culture that values diversity, creativity, and high performance.- Employee Empowerment: Freedom to innovate and make a difference, supported by a team that values respect and integrity.Role Overview:We are seeking a highly skilled Senior Engineer with strong cloud experience to join our dynamic team. The ideal candidate will design, implement, and maintain scalable cloud solutions, ensuring high performance and reliability.Key Responsibilities:- Architect, develop, and deploy cloud-based solutions using industry best practices.- Collaborate with cross-functional teams to define and deliver technical solutions.- Ensure security, scalability, and reliability of cloud infrastructure.- Automate deployment, monitoring, and management of cloud resources.- Mentor junior engineers and contribute to technical leadership.Required Qualifications:- Bachelor’s degree in Computer Science, Engineering, or related field.- 5+ years of software engineering experience, with at least 3 years focused on cloud technologies.- Hands-on experience with major cloud platforms (AWS, Azure, or Google Cloud).- Strong understanding of cloud architecture, networking, and security.- Proficiency in scripting and automation (e.g., Python, Bash, Terraform, or similar).- Experience with CI/CD pipelines and DevOps practices.- Excellent problem-solving and communication skills.Preferred Qualifications:- Cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect, etc.).- Experience with containerization (Docker, Kubernetes).- Familiarity with infrastructure as code (IaC) tools.- Prior experience in AI, machine learning, or recruiting technology domains.Benefits:- Competitive salary and benefits package.- Opportunities for career advancement and professional growth.- Flexible work environment and supportive team culture.- Access to cutting-edge technology and innovation-driven projects.