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Open nowPosted yesterday

Sr Software Engineer - Terraform Foundations

IBM2,311 open roles

Where
Multiple Cities
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Your applicationOpen nowSr Software Engineer - Terraform FoundationsIBM · Multiple Cities

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The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market. IBM postings stay open a median of 15 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted yesterday

IBM median: 15 days open

The posting

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'l have the tools and opportunities to advance your career while creating software that changes the world.

The HCP Terraform Foundations group is made up of SREs and Software Engineers who keep HCP Terraform platform reliable, performant, and robust. Within Foundations, Production Engineering proactively improves the architecture, observability, and operational posture of the platform's foundational services and is Terraform's final escalation point when the platform is in trouble.

We are looking for a Senior Software Engineer II with an SRE background, experience building distributed systems at scale, and a strong interest in release engineering. You will work on the systems every Terraform run depends on, and you will help raise how safely and confidently we ship changes to production.

Improve release safety and reliability

  • Lead work on release pipelines, canary signals, and verification so changes reach production safely.
  • Help make database migrations safer and more self-service for application teams.

Make production measurable

  • Drive deep observability for foundational services, including SLOs, alerting, and log delivery.
  • Turn production signals into prioritized, systemic fixes.

Evolve the architecture ahead of scale

  • Design and deliver technically deep improvements across Aurora PostgreSQL, Redis, Sidekiq, and Puma.
  • Spot scale pressures before they become incidents, and plan capacity accordingly.

Lead incident response

  • Take part in our 24/7 on-call rotation and serve as a senior escalation point.
  • Lead incident reviews so no production failure recurs without a systemic fix, in a blameless and psychologically safe environment.

Lead across teams and grow others

  • Lead cross-team initiatives, working closely with Cloud Platform Engineering, Agent Core & Services, Web Engineering, and feature teams.
  • Mentor engineers through code review, pairing, and design feedback. Improve our runbooks, onboarding, and documentation.
  • Present technical direction and outcomes to technical and non-technical audiences.
  • 8+ years of production experience in SRE, production engineering, or software engineering for large-scale SaaS platforms.
  • Hands-on experience building and operating release and deployment pipelines, including progressive delivery, canaries, and rollback.
  • Strong observability experience: metrics, tracing, logging, SLOs, and alerting for distributed systems.
  • A track record of leading complex, cross-team technical initiatives to completion.
  • Clear, empathetic communication and a commitment to blameless, learning-focused practices.
  • Experience with Ruby on Rails applications and PostgreSQL
  • Experience with Go services, Redis, and Sidekiq.
  • Familiarity with cell-based architectures and multi-region deployments.
  • Experience operating in regulated or compliance-driven environments, such as FedRAMP.
  • Recognized subject-matter expertise, such as internal talks, publications, or open- and inner-source contributions.
  • Fluency with enterprise-approved generative AI tools, and the judgment to critically assess AI-generated output.
  • Working knowledge of production databases and applications, including how data stores behave under load.
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