Staff Software Engineer - Developer Experience

Jobgether; United States; On-site; USD 158,000 - 248,000; Full time

Benefits offered by this job

Base salary: $158,000–$248,000 USD (yr

Bonus and equity included

Job summary

Jobgether seeks a Staff Software Engineer - Developer Experience in the United States to lead AI-native workflows that transform the software development lifecycle. You will architect automation, guardrails, and closed-loop systems to accelerate development while maintaining control.

You will mentor engineers and partner with platform, research, and security teams to modernize how software is built and maintained.

Qualifications

• Deep expertise integrating AI into the software lifecycle.
• Proficient in Python/Java/JavaScript for production tooling.
• Experience with CI/CD orchestration like GitHub Actions or Jenkins.
• Knowledge of Terraform, Docker, and Kubernetes.
• Ability to use metrics to improve delivery performance.

Responsibilities

• Lead adoption of AI-native development workflows across teams.
• Collaborate with platform, R&D, and security to automate handoffs.
• Design pipelines and auditable records across the SDLC.
• Build deterministic build hooks and automated reviews.
• Develop verification suites and monitoring for AI configurations.

Skills

Python

Java

JavaScript

CI/CD

GitHub Actions

Jenkins

Code reviews

Tools

Terraform

Docker

Kubernetes

Backstage

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer - Developer Experience based in the United States. This is a high-impact technical leadership role focused on transforming the software development lifecycle through AI-native engineering workflows. You will architect intelligent automation, validation guardrails, and closed-loop systems that help AI agents accelerate development while keeping engineers and product managers in control of critical decisions. Working across planning, design, development, testing, deployment, and maintenance, you will help establish scalable practices that improve engineering productivity and software quality. You will champion adoption across teams, mentor developers, and collaborate with platform, research, and security stakeholders to modernize how software is built and maintained. The role offers significant autonomy and the opportunity to shape the future of developer experience in a complex, data-driven engineering environment.

Accountabilities

• Lead grassroots adoption of AI-native development workflows, coaching engineers to orchestrate parallel AI agent sessions and subagents.
• Collaborate with platform engineering, R&D, and security teams to streamline traditional handoffs and replace manual approval processes with automated, governed workflows.
• Design and operationalize Markdown-driven artifact pipelines that provide transparent, auditable records throughout the software development lifecycle.
• Architect deterministic build-time and deployment hooks that establish reliable safety boundaries for AI-assisted development.
• Integrate AI-powered code review into pull request workflows, using structured policies and CI runners to support multi-pass reviews and automated resolution of review comments.
• Build verification frameworks and visual feedback loops that enable AI agents to test, identify defects, iterate, and validate results before human review.
• Develop continuous evaluation suites within CI to assess AI configurations against real engineering tasks and detect regressions when prompts or models change.
• Implement production monitoring and automated triage workflows to identify reliability issues, performance degradation, and control breaches, feeding insights back into continuous improvement.

Requirements

• Deep conceptual and hands‑on expertise in integrating AI into the software development lifecycle, from planning through production maintenance.
• Strong programming skills in Python, Java, JavaScript, or similar languages, with a focus on clean, maintainable, production‑grade tools.
• Extensive practical experience with modern CI/CD orchestration platforms such as GitHub Actions or Jenkins.
• Strong knowledge of infrastructure‑as‑code tools such as Terraform and containerization technologies including Docker and Kubernetes.
• Demonstrated ability to use data and engineering metrics, particularly DORA metrics, to improve delivery performance and framework reliability.
• High autonomy, initiative, and comfort navigating ambiguity, identifying engineering friction, and developing practical solutions without waiting for assigned tasks.
• Excellent technical leadership, communication, collaboration, and mentoring skills across multidisciplinary engineering teams.
• Preferred: Experience managing complex software states and isolating or reproducing environments at enterprise scale.
• Preferred: Experience building internal applications, wrappers, or developer plugins around large language models (LLMs).
• Preferred: Technical leadership or close collaboration across distributed engineering teams in North America and India.
• Preferred: Familiarity with service integration and contract testing tools, as well as developer catalog platforms such as Backstage.
• Must be legally authorized to work in the United States for any employer without current or future visa sponsorship and able to begin employment in the U.S. on the first day.

Benefits

• Base salary: $158,000–$248,000 USD, depending on role-related skills, experience, qualifications, work location, and market conditions.
• Additional compensation includes a bonus and equity.
• Benefits are included in the overall compensation package; specific healthcare, retirement, and leave details are not specified in the source description.
• Opportunity to shape AI-native engineering practices and developer experience across a global technology environment.