Senior Software Engineer – AI-First Development

Jobtailor; Deutschland; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

Jobtailor seeks a senior software engineer to design, orchestrate, and validate AI‑driven software within an AI‑First SDLC. You’ll provide architectural direction and governance for all delivered software across global teams.

Expect to review AI‑generated code, refine agent workflows, and ensure security, correctness, and performance. Strong fundamentals in multiple languages, DevOps, Docker, Kubernetes, and cloud platforms are essential.

Qualifikationen

• Legal eligibility to work in the United States or equivalent (per job requirements).
• 7+ years of professional software development experience.
• 1+ years using AI-assisted development tools.
• Proficiency in at least two major programming ecosystems.
• Experience with relational and non-relational databases.
• Experience with cloud platforms (Azure/AWS/GCP).
• DevOps practices, CI/CD pipelines, and infrastructure‑as‑code.

Aufgaben

• Design, orchestrate, and validate software applications built through AI‑driven development workflows.
• Operate within an AI‑First SDLC with AI agents as primary producers of code and tests.
• Provide architectural direction, governance, and final accountability for delivered software.
• Review, test, and approve AI‑generated code to Sands standards before production.
• Coordinate with global development teams to ensure consistency in agent workflows.

Kenntnisse

AI‑assisted development

CI/CD

Docker

Kubernetes

Cloud platforms

Code reviews

Communication

System thinking

Ausbildung

Bachelor's degree in CS/Software Engineering or related field

Tools

GitHub Copilot

Claude Code

Windsurf

Jobbeschreibung

Responsibilities

• Design, orchestrate, and validate software applications built through AI‑driven development workflows.
• Operate within an AI‑First Software Development Lifecycle (SDLC) where AI agents serve as the primary producers of code, configuration, and test artifacts.
• Provide architectural direction, context engineering, human‑in‑the‑loop governance, and final accountability for all delivered software.
• Combine deep software engineering fundamentals with the ability to think in systems, design effective agent workflows, and validate AI‑generated outputs across security, correctness, performance, and compliance dimensions.
• Design, build, and maintain AI agent workflows that produce application code, infrastructure configuration, test suites, and documentation.
• Decompose complex application requirements into discrete tasks that AI agents can execute effectively.
• Select and configure appropriate AI models, agent frameworks, and tooling for each workflow based on task complexity, risk level, and cost considerations.
• Author and maintain the agent toolchain, including Skills (SKILL.md) for reusable domain knowledge, hooks for deterministic automation at defined workflow points, and project memory files (CLAUDE.md, AGENTS.md).
• Review, test, and approve AI-generated code, ensuring it meets Sands coding standards, architectural guidelines, and security requirements before promotion to production.
• Coordinate with development teams across global locations to ensure consistency in agent workflows and coding standards.
• Evaluate emerging AI models, agent frameworks, and development tools to continuously improve workflow effectiveness and output quality.

Requirements

• At least 21 years of age.
• Proof of authorization to work in the United States.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
• Must be able to obtain and maintain any certification or license, as required by law or policy.
• 7+ years of professional software development experience, with demonstrated progression into senior or lead roles.
• 1+ years of hands‑on experience using AI‑assisted development tools (such as GitHub Copilot, Cursor, Claude Code, Windsurf, or similar) as a core part of the daily development workflow.
• Strong foundational knowledge across at least two major programming ecosystems (for example, .NET/C#, JavaScript/TypeScript, Python, Java, Go), with the ability to evaluate and validate AI-generated code in any language relevant to a given project.
• Working knowledge of relational and non‑relational databases, including data modeling, query optimization, and schema design.
• Experience with cloud platforms (Azure preferred, AWS or GCP also acceptable), including deployment, configuration, and cost management.
• Working knowledge of DevOps practices, CI/CD pipelines, and infrastructure‑as‑code concepts.
• Experience with containerization (Docker) and container orchestration (Kubernetes or similar).
• Demonstrated ability to conduct thorough code reviews, identify defects in AI-generated outputs, and provide constructive technical feedback.
• Excellent written and verbal communication skills, with the ability to articulate technical decisions and trade‑offs to both technical and non‑technical stakeholders.
• Strong interpersonal skills with the ability to communicate effectively and interact appropriately with management, other Team Members and outside contacts of different backgrounds and levels of experience.