Senior Engineering Productivity Engineer Id80127 (San Miguel de Tucumán)

Senior Engineering Productivity Engineer Id80127 (San Miguel de Tucumán)

12 ago
|
AgileEngine
|
San Miguel de Tucumán

12 ago

AgileEngine

San Miguel de Tucumán

AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLEWe are looking for a Senior Engineering Productivity Engineer to drive automation, visibility, and process improvements across software development and delivery workflows for a regulated medical device organization.
You will build and maintain CI/CD automation using GitLab, develop engineering quality dashboards and DORA metrics reporting, create integrations between GitLab, Jira, Kubernetes, and security scanning platforms, and build governed self-service release tooling that enables compliant deployment across development, SQA, and cybersecurity teams.
The role requires 4+ years of DevOps and automation engineering experience with exposure to FDA-regulated or similar regulated development environments as a strong plus.WHAT YOU WILL DO- Design, develop, and maintain automation and software tools that improve developer productivity, engineering efficiency, and operational visibility.
- Automate repetitive engineering workflows and modernize CI/CD, deployment, security, tooling, and observability processes in partnership with Platform Engineering.
- Build and maintain integrations across GitLab, Jira, Kubernetes, AWS, security scanning platforms, and enterprise tooling.
- Develop governed self-service tools and pipelines that enable application teams to safely execute approved software, firmware, and configuration updates with minimal operational dependency.
- Design and maintain GitLab CI/CD pipelines, reusable templates, automated quality gates, and role-based deployment approvals covering testing, code coverage,



static analysis, security scanning, SBOM generation, dependency validation, and compliance evidence.
- Build release-readiness, deployment, audit, and traceability automation to support controlled and compliant software releases.
- Develop dashboards and automated reporting for engineering effectiveness, quality, security, release readiness, and operational performance using data from GitLab, Jira, Kubernetes, AWS, New Relic, and internal systems.
- Implement DORA and engineering effectiveness metrics, including deployment frequency, lead time for changes, change failure rate, and recovery metrics, and generate actionable insights into engineering bottlenecks.
- Monitor and report on operational health, including MTTR, MTBF, availability, release success, deployment duration, incident trends, Kubernetes efficiency, resource utilization, capacity, and cost optimization opportunities.
- Design stakeholder-driven deployment and release workflows that ensure appropriate approvals, governance, compliance, and traceability.
- Create executive, program, and engineering dashboards that provide visibility into program status, development velocity, quality, security posture, release readiness, and operational health.
- Partner with Quality, Security, Development, Release Engineering, and Platform Engineering teams to ensure software delivery processes meet compliance, security, quality, and traceability requirements.MUST HAVES- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.




- 4+ years of software development, DevOps, automation engineering, or software tools experience.
- Experience developing applications using one or more of: Python, Go, C#, Java.
- Experience building REST API integrations.
- Experience with Git-based development workflows.
- Strong understanding of CI/CD concepts.
- Experience with GitLab or similar DevOps platforms.
- Strong analytical and troubleshooting skills.
- Experience with generating efficient dashboards in observability platforms (New Relic, DataDog, etc.).
- Upper-intermediate English level.NICE TO HAVES- Kubernetes experience.
- GitOps experience (Argo CD preferred).
- Experience building dashboards and reporting platforms.
- Experience with Jira APIs and workflow automation.
- Experience integrating security scanning tools.
- Experience with medical device, healthcare, FDA-regulated, ISO *****, IEC *****, HIPAA, NIST *******, or similar regulated development environments.
- Experience implementing DORA metrics and engineering effectiveness reporting.
- Familiarity with cloud platforms (AWS preferred).
PERKS AND BENEFITS- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews- Flexibility: work 100% remotely with adaptable hours that support focus, autonomy, and a healthy work rhythm- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized- Well-being & support: access local well-being programs and people-focused support tailored to your location

📌 Senior Engineering Productivity Engineer Id80127 (San Miguel de Tucumán)
🏢 AgileEngine
📍 San Miguel de Tucumán

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