Senior Site Reliability Engineer - ioet

JobsInPython

Limburg

On-site

USD 90,000 - 150,000

Full time

4 days ago

Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Remote work

Flexible schedule

USD compensation

Paid Holidays and Vacations

English classes

Educational and wellness bonus

Structured career plan with regular, 2

Job summary

ioet is seeking an experienced Senior Site Reliability Engineer to design and manage reliable, scalable cloud infrastructure. You will apply strong engineering principles to deployment and operations, while integrating AI-assisted tools to accelerate troubleshooting and automate tasks.

The role emphasizes production Kubernetes, AWS, Terraform, and Python, with a global client base and LATAM presence. Remote work from a Latin American location is supported, alongside a competitive USD

Qualifications

5+ years of professional experience in SRE, DevOps, or related infrastructure roles.
Strong hands-on experience with AWS and cloud infrastructure.
Extensive experience using Terraform for Infrastructure as Code.
Strong expertise with Kubernetes in production environments.
Solid scripting and automation skills using Python.
Strong understanding of Site Reliability Engineering principles, including reliability, availability, scalability, incident management, and operational excellence.
Solid understanding of software engineering principles and best practices, including clean and maintainable code, testing, debugging, version control, and code review practices.
Hands-on experience using AI-assisted engineering tools such as Claude Code, Cursor, GitHub Copilot, ChatGPT, or similar as part of regular engineering workflows.
Ability to leverage AI tools effectively for coding, infrastructure automation, troubleshooting, testing, and technical documentation.
Experience with observability and monitoring tools such as Datadog or New Relic.
Strong understanding of CI/CD pipelines, Git, and deployment automation.
Comfortable with frequent, incremental testing and deployment practices.
Strong troubleshooting and problem-solving skills.
Ability to work independently and take ownership of infrastructure and reliability challenges.
Strong English communication skills - Minimum B2 level proficiency.
Send your application and CV in English (mandatory).
Based in Latin America.

Responsibilities

Build reliable, scalable cloud infrastructure using best practices.
Apply engineering principles to deployment, monitoring, and operational challenges.
Leverage AI-assisted tools to improve productivity and troubleshooting.
Contribute to automation and tooling to reduce toil and improve reliability.
Collaborate with cross-functional teams to ensure service stability.

Skills

AWS

Terraform

Kubernetes

Python

Observability

CI/CD

Git

AI tools

English (B2)

Tools

Datadog

New Relic

Git

GitHub Copilot

Claude Code

Cursor

OpenAI

Job description

Remote - South America / Netherlands Full Time Senior

Our positions are full-time, remote, and offer competitive compensation in USD.

Discover exciting career opportunities at ioet! Join our passionate team to shape the future of technology and unleash your potential.

At ioet, a leading software company with a talented team across LATAM, we provide Software Engineering as a service to clients worldwide. Join us for exciting professional challenges, working on projects ranging from innovative startups to globally recognized brands.

We are looking for an experienced Senior Site Reliability Engineer (SRE) who is eager to grow professionally within our dynamic and highly skilled software development team. In this role, you will focus on building reliable, scalable, and automated cloud infrastructure while applying strong engineering principles to infrastructure, deployment, and operational challenges.

The ideal candidate combines strong SRE expertise with solid software engineering fundamentals, applying best practices in coding, testing, debugging, and automation to infrastructure and reliability challenges. You will also leverage modern AI-assisted development tools as part of your daily engineering workflow to improve productivity, accelerate troubleshooting, and deliver reliable solutions.

Requirements

5+ years of professional experience in SRE, DevOps, or related infrastructure roles.
Strong hands-on experience with AWS and cloud infrastructure.
Extensive experience using Terraform for Infrastructure as Code.
Strong expertise with Kubernetes in production environments.
Solid scripting and automation skills using Python.
Strong understanding of Site Reliability Engineering principles, including reliability, availability, scalability, incident management, and operational excellence.
Solid understanding of software engineering principles and best practices, including clean and maintainable code, testing, debugging, version control, and code review practices.
Hands-on experience using AI-assisted engineering tools such as Claude Code, Cursor, GitHub Copilot, ChatGPT, or similar as part of regular engineering workflows.
Ability to leverage AI tools effectively for coding, infrastructure automation, troubleshooting, testing, and technical documentation.
Experience with observability and monitoring tools such as Datadog or New Relic.
Strong understanding of CI/CD pipelines, Git, and deployment automation.
Comfortable with frequent, incremental testing and deployment practices.
Strong troubleshooting and problem-solving skills.
Ability to work independently and take ownership of infrastructure and reliability challenges.
Strong English communication skills - Minimum B2 level proficiency.
Send your application and CV in English (mandatory).
Based in Latin America.

Nice To Have

Experience with AWS Connect.
Experience building developer tooling, internal platforms, or automation solutions.
Experience defining and implementing SLIs, SLOs, and reliability metrics.
Experience with incident response, postmortems, and root cause analysis.
Familiarity with additional programming languages beyond Python.
Experience improving cloud infrastructure for performance, scalability, reliability, or cost efficiency.
Experience contributing to application code or working closely with software development teams.

Benefits