Senior CloudOps Engineer (Direct Contractor)

Seagull Software; United States; Hybrid; USD 89,000 - 179,000; Full time

Job summary

Seagull Software seeks a Senior CloudOps Engineer to design, implement, and maintain scalable cloud infrastructure across AWS, GCP, Kubernetes environments. You will monitor, secure, and optimize deployments while enabling automation and CI/CD for rapid release cycles.

The role requires 5+ years in CloudOps/SRE, strong Kubernetes expertise (EKS/GKE), and proficiency with Terraform, Ansible, and observability tools. This contract position is hybrid, based in La Paz, Bolivia, with remote options.

Qualifications

• 5+ years of experience in CloudOps/DevOps/SRE roles.
• Strong hands-on experience in AWS and GCP with Kubernetes (EKS & GKE).
• Proficiency in IaC and cloud automation tools.

Responsibilities

• Design, implement, and operate scalable cloud infrastructure.
• Manage Kubernetes across EKS and GKE.
• Implement IaC with Terraform, Ansible; manage CI/CD pipelines.
• Set up monitoring with Prometheus, Grafana, OpenTelemetry.
• Ensure security, SSO/OIDC, and disaster recovery.

Skills

CloudOps

AWS

GCP

Kubernetes

Prometheus

Grafana

OpenTelemetry

Terraform

Ansible

SSO/OIDC

English

Communication

Education

Bachelor’s Degree in CS/IT/Software

Master’s Degree in Cloud/Cybersecurity

Certifications (AWS/GCP)

Tools

EKS

GKE

Terraform

Helm

Kubernetes

Istio

Jenkins

Job description

WHO WE ARE

SeagullSoftware is a global leader inlabel managementand item-level tracking solutions, providing flexible, connected, and scalable solutions to help organizationslabel andlocatethe things their business depends on across today’s most complex supply chains. Through its flagshipBarTender®platform, Seagull enables businesses todesign, manage, automate, and scalethe production of labels,1D and 2Dbarcodes,and RFID tags that serve as thedigital foundation for traceability, compliance, and operational execution.

With a 40-year history of leading in our field, supporting more than 250,000 customers around the globe, BarTender® software provides the accuracy, control, and governancerequiredto connect physical products with digital systems across manufacturing,logistics, retail, healthcare, and food supply chains. By unifying label management with item-level data capture and visibility, Seagull helps organizations transform operational efficiency, reduce compliance and regulatory risk, and realize smarter, more responsive operations.
Headquartered in Redmond, Washington, with offices across the United States, Europe, Asia, and Latin America, Seagull Software serves customers worldwide – empowering businesses worldwide to keep their products moving, traceable, and safe. You’ll work with global, talented, and diverse teams, passionate about what they do and their impact on everyone, everywhere.Join us and help shape the way the world works.

For more information, visit https://www.seagullsoftware.com/

LOCATION

This direct contract role is based in La Paz, Bolivia under ahybrid work arrangement, with the expectation of working from our La Paz office 3 days per week. Candidates who are not currently based in La Paz, Bolivia, may be considered for a fully remote work arrangement.

JOB SUMMARY

This is a direct contract role. As a Senior CloudOps Engineer , you will design, implement, and maintain scalable and robust infrastructure solutions in AWS, GCP, and Kubernetes environments. Your responsibilities will span across several key areas, including cloud infrastructure, Kubernetes orchestration, monitoring, and database management.

The role includes a rotation on-call schedule to support the platform 24/7.

WHAT YOU WILL DO

Cloud Infrastructure Management:

• Architect, manage, and scale cloud infrastructure across Amazon Web Services (AWS) and Google Cloud Platform (GCP).
• Apply and improve best practices for high availability and fault-tolerant infrastructure.
• Design, deploy, and optimize cloud services, including:
  • AWS: EKS, EC2, Elastic Load Balancing (ALB/NLB), VPC, IAM, Route 53, Auto Scaling, CloudWatch, and related services.
  • GCP: GKE, Compute Engine, Cloud Load Balancing, VPC, IAM, Cloud DNS, and related services.
• Configure and manage DNS, load balancers, and secure user roles across cloud platforms.
• Collaborate with teams to optimize cloud environments for security, reliability, scalability, performance, and cost efficiency.
  Kubernetes Orchestration & Management:
• Design, implement, and operate Kubernetes solutions for both stateless and stateful workloads across Amazon EKS and Google Kubernetes Engine (GKE).
• Manage advanced Kubernetes networking configurations (e.g., Ingress Controllers, Virtual Services, Service Meshes).
• Automate Kubernetes deployments and manage environments using Helm, Terraform, or Ansible.
  Monitoring, Alerting, and Optimization:
• Implement and optimize advanced monitoring and alerting tools such as Prometheus, Grafana, and Open Telemetry.
• Develop business-level metrics and proactive alerts to ensure service health, availability, and performance.
• Improve the reliability, efficiency, and scalability of infrastructure through enhanced observability and SLOs.
  Database Management:
• Manage databases, including MongoDB, Redis, and MySQL, across cloud-native and on-premise environments.
• Set up, monitor, and scale databases while ensuring security and disaster recovery practices are followed.
  Security & Compliance:
• Implement secure infrastructure practices, including role-based access controls, encryption, and audits.
• Implement user federation and single sign-on (SSO) across multiple platforms using standards such as OAuth, SAML, and OIDC.
  Automation & CI/CD:
• Develop and manage infrastructure as code (IaC) using tools like Terraform, Ansible, and Jenkins.
• Design and manage CI/CD pipelines that automate deployments across AWS and GCP environments.
• Standardize deployment processes and infrastructure automation to support multi-cloud operations.
  Networking Expertise:
• Design, implement, and maintain cloud networking solutions across AWS and GCP, including VPCs, Subnets, Target Groups, NAT Gateways, and Network ACLs.
• Apply software-defined networking expertise across Virtual Services, Ingress Controllers, and traffic management in microservices.
  AI-Driven DevOps & Automation:
• Integrate AI-driven tooling into DevOps workflows, runbook generation, and CI/CD pipelines.
• Design and operate AI-assisted and automated deployment pipelines to accelerate release velocity while preserving reliability and safety controls.
• Apply AIOps practices, including anomaly detection, predictive alerting, and automated remediation, to strengthen incident response and platform resilience.
• Evaluate and adopt emerging generative AI tooling for infrastructure automation, runbook generation, and developer productivity.

WHAT WE REQUIRE

• 5+ years of experience in a CloudOps, DevOps, SRE, or Infrastructure Engineer role.
• Strong hands-on experience in both AWS and GCP, including managing Kubernetes platforms (Amazon EKS and GKE), networking, IAM, compute, load balancing, and cloud-native services.
• Advanced knowledge of Kubernetes and containerized microservices architecture.
• Experience managing monitoring stacks like Prometheus, Grafana, OpenTelemetry, with expertise in building actionable alerts and dashboards.
• Proven experience managing databases such as MongoDB, Redis, and MySQL in production environments.
• Experience with Infrastructure as Code (IaC) using Terraform, Ansible, and cloud-native automation services across AWS and GCP environments.
• Familiarity with AI-driven DevOps practices, including Model Context Protocol (MCP) servers, AI-assisted deployments, and AIOps tooling.
• Understanding of SSO and federation standards like OAuth, SAML, OIDC.
• Strong communication skills and ability to collaborate across multiple teams.
• Proficiency in written and spoken English.
• Results oriented.
• Passion for working and learning in a fast-growing company.
• Ability to break down complex problems, strong analytical and problem-solving skills.
• Ability to collaborate effectively in agile and cross-functional environments to achieve common goals.
• Proactive learning new technologies, industry trends, and adapting to evolving tools and methodologies.
  Preferred qualifications:
• Expertise with Terraform, Helm, and Kubernetes automation across EKS and GKE.
• Experience designing and operating production multi-cloud environments (AWS and GCP).
• Familiarity with service mesh technologies such as Istio.
• Experience implementing cloud security, governance, disaster recovery, and cost optimization strategies.
• Hands‑on experience integrating large language models (LLMs) or AI agents into CI/CD, observability, or automated remediation workflows.

REQUIREDEDUCATION

• Bachelor’s Degree in related fields such as: Bachelor’s Degree, Computer Science, Information Technology, Software Engineering, Related technical field.
• Master’s Degree: Specializations in Cloud Computing, Cybersecurity, or Software.
• Certifications such as AWS Solutions Architect, AWS DevOps Engineer, Google Cloud Architect, Google Cloud DevOps Engineer, CKA, CKAD, or comparable cloud certifications are highly desirable.

TERMS OF EMPLOYMENT

• You must be set up as an independent contractor (self-employed).
• You will not be eligible for benefits.
• The contract will be paid monthly in US dollars through a 3rd party payroll vendor.
• Upon hire, you must be able to provide documentation that proves authorization to work in Boliviaand a Police Clearance Certificate.

OUR CULTURE

We offer a dynamic, culturally diverse, and fun environment where people with energy, creativity, and passion work together to deliver amazing product experiences for our customers. Join a team where your background is valued and respected, and your unique insights and ideas contribute to building a culture of diversity, equity, and inclusion.
EQUAL EMPLOYMENT OPPORTUNITY
Seagull Software, LLC, is proud to provide equal employment opportunities to all team members and applicantsand prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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