GCP Engineer

Looking for experienced software engineers with strong hands-on development capability and practical use of AI tools. Candidate should be based in Minneapolis or willing to travel based on the project demands.

Position Summary:
Weare seeking a high-caliber Senior Software Engineer to join a team building customer-centric solutions for the role is designed for a top-tier engineer who combines deep technicalexpertisewith strong product intuition and business will tackle ambiguous challenges rapidly prototype solutions directly with stakeholders andarchitectscalable secure systems. Youoperatewith high autonomy acting as the critical technical bridge that turns businessobjectivesinto high-performing software.

Key Responsibilities & Expectations

1. Engineering & System Design

• Architect in Ambiguity:Translate loosely defined business problems into clean robust architectures whileanticipatingedge cases.
• Rapid Prototyping:Where applicable build functional prototypeswithstakeholderstovalidateideas instantly and accelerate the feedback loop.
• Full-Stack Delivery: Own features end-to-end across services data and UI making pragmatic technology choices and avoiding unnecessary complexity.

2. Engineering Productivity with AI

• AI-Assisted Development:Use agentic AI tools throughout the SDLC to move faster whilemaintainingfull accountability for code quality correctness and security.
• Feedback Loops for Coding Agents: Design quality gates spec-driven workflows and deterministic checks that catch agent errors before humans do.
• Critical Adoption: Evaluate AI tools and patterns critically adopting what improves the teams output and discarding whatdoesnt.

3. Reliability &DevSecOps

• Security-First Mindset:Embed security and compliance into the core of the development lifecycle proactively mitigating vulnerabilities through secure design.
• Production Standards:Build well-tested maintainable software. Implement CI/CD pipelines to ensure systems are resilient scalable and optimized for an exceptional end-user experience.
• Operational Readiness: Make production behavior measurabledebuggable and recoverable by building observability alerting runbooks and recovery paths into systems from the start.

4. Execution & Business Ownership

• Drive Outcomes:Take ownership of delivering meaningful business results managing scope responsibly and communicating technical risks early.
• Technical Translation:Partner closely with Product Managers and business leaders. Articulate complex architectural decisions and tradeoffs in clear outcome-oriented terms.
• Partnering Across Functions: Engage security risk compliance and platform teams early communicate technical tradeoffs clearly and make the case when a project calls for a different approach.

5. Culture

• High Performance:We valuehigh standards continuous learning and collaborative problem solving creating an environment where talented individuals can thrive alongside exceptional teammates.
• Ownership & Accountability:Team members are trusted to take ownership of their work exercise thoughtful judgment and follow through on commitments.
• Collaborative Autonomy:Teamsoperatewith a high degree of trust and autonomy while working together to make decisions aligned with business customer and operational goals.

Required Qualifications

• Bachelors degree in Computer Science Engineering or equivalent practical experience.
• 7 years of experience designing supporting and deploying modern enterprise-grade software systems.
• Skilled at using agentic AI tools throughout the SDLC.
• Hands-onexpertisewith technologies such asPython AWS/GCP cloud platforms Terraform APIs and cloud-native architecture patterns.
• Proven ability to interact directly with business stakeholders build trust andoperateautonomously in fast-paced environments.

Required Skills:

AI toolsAI-Assisted