Accountabilities:
The Senior Software Engineer will drive high-velocity software delivery by leveraging AI-assisted development, cloud engineering expertise, and automation practices to build impactful products. Key responsibilities include:
Develop and deliver production features using Claude Code and agentic engineering workflows, enabling faster build, test, and iteration cycles.
Partner with product leaders, practice leads, and subject-matter experts to translate business requirements into scalable software solutions.
Design, deploy, and maintain cloud-based services using GCP technologies including BigQuery, Cloud Run, Vertex AI, Gemini integrations, IAM, Terraform, and CI/CD pipelines.
Create and optimize agent workflows and MCP servers to automate software development lifecycle activities such as testing, documentation, security checks, and release processes.
Improve engineering velocity by tracking delivery metrics including feature throughput, cycle time, defect rates, and adoption.
Establish best practices for agentic software engineering and mentor engineers and contractors on modern AI-assisted development approaches.
Build secure, reliable, and observable production systems with strong attention to performance, maintainability, and operational excellence.
Contribute to continuous improvement initiatives around engineering processes, tooling, and automation strategies.
Support the creation of scalable solutions involving AI applications, data platforms, and modern cloud architectures.
Collaborate with architecture and engineering leadership to ensure solutions align with established technical standards.
Requirements:
The ideal candidate is a senior-level software engineer with deep cloud expertise, strong product delivery experience, and a passion for AI-driven development. Required qualifications include:
Senior or Staff-level software engineering experience with a proven track record of delivering production systems.
Strong hands-on expertise with Google Cloud Platform, including BigQuery, Cloud Run, IAM, Terraform, and CI/CD environments.
Experience designing, deploying, securing, and operating cloud-native applications.
Proficiency with agentic coding environments such as Claude Code or similar AI-assisted development tools, including autonomous workflows and agent orchestration.
Strong programming skills in Python and TypeScript, with experience writing clean, maintainable, tested, and scalable code.
Experience with production engineering practices including observability, secrets management, security controls, and reliable deployment processes.
Ability to independently transform ambiguous requirements into working software solutions.
Strong communication skills and ability to explain technical decisions and trade-offs.
Experience with AI engineering concepts such as Vertex AI, Gemini, Agent Development Kit (ADK), MCP servers, or AI automation workflows is highly preferred.
Experience with data engineering, pipelines, transformations, and warehouse modeling is a plus.
Familiarity with React or modern frontend frameworks is beneficial.
Experience working in SaaS, consulting, agency, or enterprise technology environments is preferred.
Additional expertise in areas such as RAG systems, GraphRAG, multi-agent orchestration, AI evaluations, guardrails, multimodal systems, synthetic data, or model adaptation is highly valued.
Benefits:
The role offers a flexible, innovative environment designed for engineers who want to influence the future of software development, including:
Remote-first work environment within the United States.
Opportunity to work with advanced AI development tools and cloud technologies.
High autonomy and ownership over impactful engineering initiatives.
Direct collaboration with product and engineering leadership.
Opportunity to influence AI-driven engineering practices across a global organization.
Access to modern tooling, cloud resources, and automation platforms.
Collaborative culture focused on innovation, trust, and continuous improvement.
Competitive compensation package aligned with experience and market location.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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