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Senior DevOps Engineer

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Published
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9 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

This Senior DevOps Engineer role owns and modernizes CI/CD pipelines and developer tooling for a microservices-based customer experience platform. The position focuses on safe, reliable software delivery through reusable pipeline components, progressive delivery, Infrastructure-as-Code, supply-chain security, and observability. It requires substantial hands-on experience with CI/CD platforms, Docker, Kubernetes, Terraform or Ansible, Linux, and scripting. The engineer will partner closely with development teams to reduce friction, improve build performance, and drive adoption of standardized delivery practices. The role is remote across Mexico, with an onsite expectation for employees located near Guadalajara.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role combines senior-level platform engineering with CI/CD architecture, container orchestration, IaC, security controls, and progressive deployment practices. Success also depends on independently influencing multiple engineering teams and translating platform improvements into broadly adopted workflows.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$95,000
US market range$75k–$125k
AI insightNo candidate salary range is disclosed, so these are estimated US-market annual base-salary figures in USD for a senior DevOps engineer focused on CI/CD, Kubernetes, IaC, and developer productivity. Actual compensation for this Mexico-based role may differ materially based on local market, employment arrangement, qualifications, and total-rewards structure.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a reusable CI/CD platform for multiple microservices teams?

I would define pipelines as code and provide versioned templates or shared libraries for common stages such as build, test, security scanning, artifact publishing, and deployment. Teams should be able to configure service-specific behavior through clear inputs while platform defaults enforce quality and security controls. I would publish documentation, examples, and adoption metrics, then iteratively improve the platform from developer feedback.

How have you improved CI pipeline speed without compromising reliability?

I start by measuring stage duration, queue time, cache effectiveness, and failure patterns. Typical improvements include dependency and container-layer caching, parallelizing independent tests, using targeted test selection where appropriate, and removing redundant work. I validate changes with before-and-after metrics and retain required quality gates so faster feedback does not weaken release confidence.

What approach would you take to progressive delivery for a Kubernetes service?

I would use a tool such as Argo Rollouts or a feature-flag platform to introduce changes incrementally. A rollout would begin with a small traffic percentage or limited user cohort, monitored against predefined metrics such as error rate, latency, saturation, and business signals. If thresholds are breached, the system should automatically pause or roll back; otherwise, traffic can be increased in controlled steps.

How would you implement software supply-chain security in a CI/CD workflow?

I would add dependency and image scanning early in the pipeline, generate an SBOM for release artifacts, and apply policy gates for critical findings. Built artifacts should be stored in a controlled registry and signed with tools such as cosign, with deployment processes verifying signatures before promotion. I would also manage secrets securely, preserve provenance, and establish an exception process that is auditable and time-bound.

How do you evaluate AI-assisted recommendations in CI/CD and operational workflows?

I treat AI output as an assistive signal rather than an authoritative decision. I validate recommendations against logs, source code, telemetry, and known operating constraints before incorporating them into production workflows. For automation with material impact, I use bounded permissions, human review or approval where needed, monitoring, and measurable success criteria such as reduced triage time or fewer flaky-test failures.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Redefine the future of customer experiences. One conversation at a time.

At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.

Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are.

If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.


Location: While this role is open to remote candidates across Mexico, team members located within 80 kilometers of our Guadalajara office (Calle Amado Nervo 2200, Jardínes del Sol, 45050 Zapopan, Jal.) are expected to work onsite to support collaboration, speed, and execution.


Nextiva is looking for a Senior DevOps Engineer to own and modernize our CI/CD pipelines and developer tooling. You’ll focus on one of the most important parts of the engineering experience: getting code from commit to production quickly, reliably, and safely.

You’ll work closely with engineering teams to improve pipelines, reduce developer friction, strengthen deployment practices, and create reusable tooling that makes the right way to ship software the easy way.

Nextiva’s platform is built on a modern microservices architecture, and reliability and adaptability are central to how we serve customers. Our broader platform strategy also leverages AI and automation to create better outcomes, making this role important to how our engineering organization continues to scale and evolve.

What you’ll do

  • Design, build, and maintain CI/CD pipelines as code across multiple services and engineering teams.
  • Improve deployment safety through progressive delivery strategies including canary, blue/green, and feature-flag-based releases.
  • Build reusable pipeline templates, shared libraries, and self-service tooling that make it easier for teams to onboard and ship consistently.
  • Improve build performance through caching, parallelization, and other approaches that reduce pipeline execution and feedback time.
  • Partner with engineering teams to identify and remove friction from local development, testing, CI, and deployment workflows.
  • Integrate appropriate AI-assisted capabilities into developer workflows, including use cases such as pipeline diagnostics, test generation or selection, code-review automation, and failure triage.
  • Implement software supply-chain practices including dependency scanning, artifact signing, and SBOM generation.
  • Use Infrastructure-as-Code to provision and maintain the infrastructure supporting CI/CD.
  • Monitor pipeline health and deployment success and use those signals to drive continuous improvements.
  • Help engineering teams adopt effective DevOps and delivery practices through clear communication, enablement, and reusable solutions.

What you bring

  • Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
  • 5+ years of DevOps or software engineering experience, with a strong focus on CI/CD and developer tooling.
  • Strong hands-on experience with modern CI/CD platforms such as Jenkins, GitHub Actions, GitLab CI, CircleCI, or Buildkite.
  • Experience designing pipelines as code and reusable pipeline templates.
  • Solid understanding of Docker, Kubernetes, and deploying containerized applications through CI/CD.
  • Working knowledge of Infrastructure-as-Code, including Terraform and/or Ansible.
  • Strong Linux administration and scripting skills using Bash, Python, or Go.
  • Experience with middleware or messaging technologies such as Kafka, Redis, or RabbitMQ.
  • Experience with observability and monitoring tools such as Prometheus, Grafana, Datadog, or ELK.
  • Strong communication skills and experience driving adoption of tooling across engineering teams.
  • Progressive delivery tooling such as Argo Rollouts, Flagger, or feature-flag platforms.

Additional experience that will help you succeed

  • Software supply-chain security tooling such as Nexus, Sigstore/cosign, Syft/SBOM tooling, Snyk, or Trivy.
  • Experience applying AI/LLM-based tools to engineering workflows.

AI literacy

We’re looking for someone who understands where AI can genuinely improve engineering workflows rather than applying it for its own sake.

  • Experience using AI/LLM-assisted tooling to accelerate development, testing, troubleshooting, code review, or CI/CD workflows.
  • Ability to evaluate AI-generated recommendations or outputs critically before incorporating them into production engineering processes.
  • Curiosity about opportunities such as intelligent test selection, flaky-test detection, automated checks, and pipeline failure diagnostics.

Nextiva DNA (Core Competencies)

Nextiva’s most successful team members share common traits and behaviors:

  • Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go.
  • Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work.
  • Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates.

Total Rewards

Our Total Rewards offerings are designed to allow Nexties to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate’s qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary, hourly wages, incentives, or bonuses.

  • Health 🍏– Major Health insurance for you, your legal partner, and children under 25 years, including Vision and Dental coverage
  • Insurance 💼 Life Insurance (24 times your monthly salary)
  • Work-Life Balance ⚖️ – Newly hired full-time employees at Nextiva receive 10 personal days before their first anniversary, 12 vacation days on their first anniversary, and 5 personal days annually thereafter in addition to vacation time
  • Financial Security 💰 Enjoy a 30-day Christmas bonus, 50% vacation premium, company-matched food vouchers (1 UMA/month), and a 13% matched savings fund (capped at 1.3x annual UMA)
  • Wellness 🤸‍ Employee Assistance Program and comprehensive wellness initiatives
  • Growth 🌱 Access to ongoing learning and development opportunities and career advancement

At Nextiva, we’re committed to supporting our employees’ health, well-being, and professional growth. Join us and build a rewarding career!

#LI-AL1 #LI-REMOTE


Founded in 2008, Nextiva has grown into a global leader trusted by over 100,000 businesses and 1M+ users worldwide. Headquartered in Scottsdale, Arizona, and with teams across the globe, we’re the future of customer experience and team collaboration through our AI-powered, conversation-centric platform.

Want to see what life at Nextiva is all about? Connect with us on Instagram, Instagram MX, YouTube, LinkedIn, and the Nextiva Blog.

Apply now >

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