Senior Software Engineer

SoTalent is seeking an experienced Senior Software Engineer to join their high-impact Cloud AI team. This role involves designing and building scalable, cloud-native systems while collaborating with cross-functional teams to deliver robust solutions and contribute to technical decisions defining system architecture.

Responsibilities:

• Design and build cloud-native applications that are scalable, secure, and highly reliable
• Develop backend services, APIs, and orchestration layers to support complex AI systems and integrations
• Create developer-facing tools such as APIs, SDKs, and platforms to enhance usability and adoption
• Own the full development lifecycle, including architecture, development, testing, deployment, and support
• Define system architecture, including data models, APIs, and service boundaries
• Build and maintain microservices and RESTful APIs integrated with SQL/NoSQL databases
• Implement CI/CD pipelines and automation processes for efficient deployments
• Ensure adherence to security best practices including authentication, authorization, and data protection
• Work closely with engineers, product managers, and stakeholders to deliver high-quality solutions
• Mentor junior engineers and contribute to building a high-performing engineering culture
• Drive technical discussions, evaluate trade-offs, and make informed design decisions

Requirements:

• 8+ years of experience in software development
• 3+ years of experience building and operating cloud‑native, scalable architectures
• Strong programming experience in languages such as Python, Java, Node.js, Go, or Rust
• Experience building REST APIs, microservices, and integrating with databases
• Hands‑on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps)
• Strong understanding of cloud platforms (AWS, Azure, or GCP)
• Solid knowledge of security best practices (OAuth, SSO, encryption, etc.)
• Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred)
• Experience working with AI/LLM systems, agent‑based architectures, or RAG pipelines
• Familiarity with agentic frameworks, tool integrations, and multi‑step AI workflows
• Experience with containerization and orchestration (Docker, Kubernetes)
• Knowledge of infrastructure‑as‑code tools (Terraform, CloudFormation)
• Experience building developer tools or platforms used by external users
• Exposure to enterprise‑scale systems and large‑data environments