Post a Job
All remote jobs
Particle41

Devops Engineer (AWS)

AI Summary
This is a remote AWS DevOps Engineer role focused on automating software delivery and maintaining scalable, secure cloud infrastructure. The engineer will build and operate CI/CD pipelines, infrastructure-as-code workflows, monitoring solutions, and containerized platforms. Core responsibilities include AWS administration, incident troubleshooting, security controls, documentation, and collaboration with customer development and operations teams. The position requires strong hands-on experience with AWS, Terraform or CloudFormation, Docker, Kubernetes, scripting, and configuration management. Participation in an on-call rotation indicates responsibility for production reliability and critical incident response.
Apply for this job View company
Remote from
Argentina
Salary
Undisclosed
Department
DevOps & Infrastructure
Employment
Full Time
Experience
Open level
Published
Apply before
11 Dec 2026
Listing views
22
Application actions
2
Application toolkit

Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

About this role.

As a DevOps Engineer (AWS) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers’ infrastructure.

Responsibilities:

Collaboration and Communication:

  • Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects.
  • Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines.
  • Create and maintain comprehensive documentation for systems, processes, and configurations.

Automation and Tooling:

  • Design, implement, and manage automation processes for software build, deployment, and configuration.
  • Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes.

Infrastructure Management:

  • Manage and maintain AWS cloud infrastructure to ensure scalability, reliability, and security.
  • Implement infrastructure as code (IaC) using tools such as Terraform, CloudFormation, and others.
  • Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases.

Monitoring and Performance:

  • Develop and implement monitoring solutions using CloudWatch and other AWS monitoring tools to ensure the health and performance of systems and applications.
  • Proactively identify and address issues related to system performance, reliability, and scalability.

Security and Compliance:

  • Implement and maintain security best practices in infrastructure and application deployment including IAM, security groups, and VPC configurations.
  • Ensure compliance with regulatory requirements and company security policies.

Troubleshooting and Support:

  • Provide support for development and operations teams, addressing issues related to build failures, deployment problems, and system outages.
  • Participate in on-call rotation to respond to and resolve critical incidents.

Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Experience with AWS services including EC2, ECS, EKS, Lambda, S3, RDS, and CloudWatch.
  • Proven experience as a DevOps Engineer or similar role.
  • Strong proficiency in scripting languages such as Python, Bash, or Ruby.
  • Experience with configuration management tools such as Ansible, Puppet, or Chef.
  • In-depth knowledge of containerization technologies, such as Docker and Kubernetes.
  • Hands-on experience with version control systems, preferably Git.
  • Solid understanding of continuous integration and continuous deployment (CI/CD) concepts and tools.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration abilities. Certified (Current or Expired) in at least one of the following: AWS Solutions Architect Associate, AWS Developer Associate, AWS SysOps Administrator Associate, AWS Solutions Architect Professional, AWS DevOps Engineer Professional

About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

  • E – Empowering: Enabling individuals to reach their full potential.
  • L – Leadership: Taking initiative and guiding each other toward success.
  • I – Innovation: Embracing creativity and new ideas to stay ahead.
  • T – Teamwork: Collaborating with empathy to achieve common goals.
  • E – Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission.

Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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 requires broad production expertise across cloud infrastructure, automation, security, observability, and incident response. It also demands independent technical judgment while coordinating closely with multiple customer and internal teams.

Salary analysis

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

Estimated job median (per year)Market rate
$120,000
US market range (per year)$95k–$150k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The yearly figures are estimated USD market compensation for an experienced AWS DevOps Engineer and are not employer-confirmed.

Core skills

Skills and capabilities most closely associated with this opportunity.

AWSTerraformCloudFormationCI/CDDockerKubernetesAmazon EKSAmazon ECSAmazon CloudWatchInfrastructure as CodePythonBashAnsibleGitIncident Response
Sample interview questions
How would you design a secure and scalable AWS environment for a containerized application?

I would use a multi-account or logically separated environment structure, deploy workloads to EKS or ECS across multiple availability zones, and isolate services through VPC subnets and security groups. I would apply least-privilege IAM roles, store secrets in AWS Secrets Manager or Parameter Store, encrypt data in transit and at rest, and define the infrastructure through Terraform or CloudFormation. Monitoring, centralized logging, backup policies, and automated scaling would be incorporated from the beginning.

Describe a CI/CD pipeline you have built or would implement for a Kubernetes-based service.

A typical pipeline begins with Git-based pull-request checks for formatting, unit tests, security scanning, and container builds. After approval, it publishes a versioned image to a registry, runs integration tests, and deploys through Helm or a GitOps workflow to a lower environment. Production deployment should include approval gates where appropriate, health checks, rollout monitoring, and an automatic rollback strategy if service metrics degrade.

How do you troubleshoot a production outage involving increased latency on an AWS-hosted application?

I first confirm the scope and customer impact, then review dashboards, logs, traces, and recent deployment changes. I check application error rates, CPU and memory utilization, database performance, load balancer metrics, network connectivity, and dependency health. After mitigating the immediate issue through rollback, scaling, or configuration changes, I document the timeline, root cause, corrective actions, and preventive monitoring improvements.

What practices do you use to manage Terraform safely across multiple environments?

I keep reusable modules in version control, use separate state files and access controls for each environment, and store remote state in a protected backend with locking. All changes go through pull requests with terraform fmt, validate, plan, policy checks, and peer review. I avoid manual production changes whenever possible and use clearly defined variables, module versions, and documented recovery procedures.

How would you improve observability for a service running in AWS?

I would define service-level indicators such as availability, latency, error rate, saturation, and deployment health. I would centralize structured logs, publish meaningful application and infrastructure metrics to CloudWatch, configure actionable alarms, and add distributed tracing where supported. Dashboards should show both technical signals and customer impact, while runbooks should connect alerts to practical investigation and remediation steps.

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

Apply now.

Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.

Did you apply?Let us know, and we’ll help you track your application.

Continue on the employer website

Protect your personal information and never pay to secure an interview or job offer. .

Log in to save
One quick step before you apply

Sign in to continue.

Sign in or create a free account to continue to the employer's application.
Add alert
Job Search Safety Tips
Here are some tips to help you search and apply for jobs safely:
Watch out for suspicious jobs Don't apply for jobs that offer high pay for little work or offer to hire you without an interview. Read more ›
Check the employer's profile Make sure you're applying for a trustworthy job by visiting the employer's profile and learning more about them. Read more ›
Protect your information Don't share personal details like your bank account or government-issued ID on suspicious websites or messengers. Read more ›
Report jobs that feel unsafe If you see a job that seems misleading, inappropriate or discriminatory, report it for going against our policies and we'll review it.
Share this job
Jobs Talent AI Tools Salaries
Menu