Senior CloudOps Engineer - Seagull Software

WHO WE ARE

Seagull Software is a global leader in label management and item-level tracking solutions, providing flexible, connected, and scalable solutions to help organizations label and locate the things their business depends on across today’s most complex supply chains. Through its flagship BarTender® platform, Seagull enables businesses to design, manage, automate, and scale the production of labels, 1D and 2D barcodes, and RFID tags that serve as the digital 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 governance required to 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 a hybrid work arrangement, with the expectation of working from our La Paz office 4 days per week.

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Integrate AI-driven tooling into DevOps workflows, including Model Context Protocol (MCP) servers and AI agents that interface with infrastructure, CI/CD, and observability systems.
• 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.