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SeniorУдалённоПолная занятость

Senior Developer Productivity Engineer

Оценка ИИ

Высокий балл обусловлен работой в топовом единороге (оценка $5.5B), фокусом на передовые технологии (AI/LLM) и удаленным форматом работы из Аргентины с конкурентным соцпакетом.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубокой экспертизы в CI/CD и системах сборки (Bazel, Gradle), а также готовности работать с LLM для автоматизации разработки. Высокая планка ожиданий по опыту (5-8 лет) и специфический фокус на Developer Experience делают позицию сложной.

Анализ зарплаты

Медиана75 000 $
Рынок60 000 $ – 95 000 $
Оценка ИИ

Зарплата в Harness для Senior ролей обычно соответствует верхнему децилю рынка Аргентины для удаленных сотрудников, работающих на компании из США. Указанные рыночные оценки отражают уровень компенсации для опытных инженеров в регионе LATAM при работе на международные продуктовые компании.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Developer Productivity Engineer position at Harness. With over 6 years of experience in software engineering and a specialized focus on DevEx and CI/CD optimization, I have consistently driven initiatives that reduce developer toil and accelerate release cycles. My background in mastering build systems like Bazel and Gradle, combined with a proactive approach to integrating AI tools into the SDLC, aligns perfectly with Harness's mission to bring AI to 'everything after code.'

In my previous roles, I have successfully implemented advanced caching and build graph optimizations that significantly reduced cycle times for large-scale engineering teams. I am particularly drawn to Harness's commitment to servant leadership and your innovative use of the Software Delivery Knowledge Graph. I am eager to leverage my expertise in Go and Kubernetes to enhance your internal developer platform and help your global engineering team achieve even greater efficiency.

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Откликнитесь в harnessinc уже сейчас

Присоединяйтесь к Harness, чтобы внедрять LLM в процессы разработки и определять будущее AI Software Delivery!

Описание вакансии

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.

Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.

Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.

With a global team across 14 offices and 25 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.

Position Summary

The Opportunity & Your Impact: We are looking for a hands-on Senior Developer Productivity Engineer with 5-8 years of experience who is driven by a deep desire to make people successful in their developer roles. This role requires technical mastery of CI/CD and build systems, combined with a servant leadership approach to product engineering. You will be a key driver in adopting cutting-edge technologies, including Large Language Models (LLMs), to revolutionize our internal development processes.

About the role

  • LLM/AI Acceleration: Drive research, experimentation, and productionization of Large Language Models (LLMs) and AI tools to augment developer workflows, focusing on areas like code generation, intelligent testing, auto-documentation, and automated troubleshooting to dramatically improve efficiency and productivity.
  • Developer Tooling & Platform Strategy: Design, develop, implement, and maintain core developer tools and services (e.g., code coverage, code review, unit/contract test framework, artifact management) to create a seamless and low-friction Developer Experience (DevEx).
  • CI/CD Optimization: Lead the architecture and continuous improvement of our internal CI/CD pipelines (leveraging the Harness Platform) to ensure fast, reliable, and secure deployments.
  • Build & Test Tuning: Identify and aggressively eliminate performance bottlenecks in large-scale build and test systems, implementing advanced caching, parallelization, and build graph optimizations to significantly reduce cycle time.
  • Code Quality Enforcement: Implement and manage tooling for code coverage and static/dynamic analysis, seamlessly integrating them into the pipeline and code review process.
  • Servant Leadership & Coaching: Partner with feature teams, acting as an empathetic consultant and platform advocate. You measure your success by the success of your internal customers (our developers), providing guidance, reducing their toil, and ensuring they have the best environment to ship code.
  • Metrics & Observability: Define, track, and report on key developer productivity and platform health metrics (e.g., DORA metrics). Implement robust monitoring, logging, and tracing to provide deep visibility into developer platform reliability and performance.

About you

  • Experience: 5-8 years of professional software engineering experience, with at least 3 years focused on Developer Productivity, DevOps, or Product Engineering.
  • Programming & Scripting: Strong proficiency in at least one major language used for backend development and tooling (e.g., Go, Python, Java) and strong shell scripting skills.
  • CI/CD Expertise: Deep, hands-on experience designing and operating Continuous Integration and Continuous Delivery systems at scale. Practical knowledge of the Harness Platform is a significant plus.
  • Build System Mastery: Extensive experience with build tools (Maven, Gradle, Bazel, or similar) and a proven track record of successfully implementing complex build tuning and optimization strategies.
  • Containerization & Orchestration: Solid working knowledge of Docker and Kubernetes for managing build environments and application deployments.
  • Mindset: Demonstrated commitment to Servant Leadership principles, prioritizing the needs of development teams and passionate about reducing developer toil.

Desired qualifications (not required)

  • Proven experience working with or integrating LLM APIs or code assistant tools (e.g., Copilot, internal LLMs) into the SDLC.
  • Familiarity with Cloud platforms (AWS, GCP, or Azure) and Infrastructure as Code (Terraform).
  • Experience with advanced security tooling integration into the SDLC (Shift-Left Security).
  • Fluency in English (verbal and written) is highly valued for communication with global teams.

Work Location

Remote in Argentina.

What you will have at Harness

  • Competitive salary
  • Comprehensive healthcare benefits
  • Flexible Spending Account (FSA)
  • Flexible work schedule
  • Employee Assistance Program (EAP)
  • Flexible Time Off and Parental Leave
  • Monthly, quarterly, and annual social and team building events
  • Monthly internet reimbursement

Harness in the news:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.

Note on Fraudulent Recruiting/Offers

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.

Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.

If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams)), or you can contact your local law enforcement agency.

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Навыки

  • Go
  • Python
  • Java
  • CI/CD
  • Maven
  • Gradle
  • Bazel
  • Docker
  • Kubernetes
  • Terraform
  • AWS
  • GCP
  • Azure
  • LLM
  • Shell Scripting

Возможные вопросы на собеседовании

Проверка глубоких знаний систем сборки, упомянутых в вакансии.

Расскажите о вашем опыте оптимизации графа сборки в Bazel или Gradle. Каких показателей сокращения времени цикла вам удалось достичь?

Вакансия делает упор на использование ИИ в процессах разработки.

Как бы вы подошли к интеграции LLM для автоматизации процесса code review или генерации документации в рамках существующего CI/CD пайплайна?

Оценка понимания ключевых метрик эффективности платформы.

Какие метрики, помимо стандартных DORA, вы считаете наиболее важными для оценки Developer Experience (DevEx) и почему?

Проверка соответствия философии 'Servant Leadership'.

Приведите пример, когда вам пришлось убеждать продуктовую команду внедрить новый инструмент или процесс. Как вы работали с их сопротивлением?

Проверка навыков работы с Kubernetes в контексте инфраструктуры сборки.

С какими основными проблемами масштабирования билд-агентов в Kubernetes вы сталкивались и как их решали?

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