Senior DevOps Engineer at Seagull Software

La Paz, La Paz, Bolivia -

Full Time

Start Date

Immediate

Expiry Date

12 Sep, 26

Salary

0.0

Posted On

14 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google Cloud Platform, Kubernetes, Terraform, Ansible, Prometheus, Grafana, MongoDB, Redis, MySQL, CI/CD, Jenkins, AIOps, OAuth, SAML, OIDC, Helm

Industry

Software Development

Description

WHO WE ARE We are a global leader in real-time, item-level visibility and label management solutions, dedicated to powering the world’s most complex supply chains with innovative tools for traceability, authentication, and automated inventory management. LOCATION This role is based in La Paz, Bolivia and requires a hybrid work arrangement, with the expectation of working from our La Paz office 4 days per week. JOB SUMMARY As a Senior DevOps Engineer, you will design, implement, and maintain scalable and robust infrastructure solutions on Google Cloud Platform (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 services on Google Cloud Platform (GCP). Apply and improve best practices for high availability and fault-tolerant infrastructure. Operate and optimize GCP services, including GKE, Compute Engine, Cloud Load Balancing, VPC, IAM, and Cloud DNS, applying security best practices. Configure and manage DNS, load balancers, and secure user roles across cloud platforms. Collaborate with teams to ensure GCP environments are optimized, cost-effective, and secure. Kubernetes Orchestration & Management: Design and implement Kubernetes solutions (stateless and stateful services) on GCP GKE, focusing on scalability and performance. 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. Create and manage CI/CD pipelines for automated deployments to various environments. Networking Expertise: Design and maintain robust networking solutions, 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, 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. WHAT WE REQUIRE 5+ years of experience in a DevOps, SRE, or Infrastructure Engineer role. Strong experience with Google Cloud Platform (GKE, Compute Engine, VPC, IAM, Cloud Load Balancing), and hands-on experience with AWS is a plus. Certifications such as Google Cloud Professional (Cloud Architect or Cloud DevOps Engineer) and/or CKAD are preferred. 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 tools such as Terraform, Ansible, or Cloud Deployment Manager. 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. Preferred qualifications: Proficiency with Terraform, Helm, and automating Kubernetes deployments. Experience with high-throughput systems and scaling infrastructure to handle millions of transactions. Familiarity with service mesh technologies such as Istio. Experience with cloud security, cost optimization, and disaster recovery planning. Hands-on experience integrating large language models (LLMs) or AI agents into CI/CD, observability, or automated remediation workflows. Soft skills: 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. REQUIRED EDUCATION 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 as Google Cloud Professional Cloud DevOps Engineer, Google Cloud Professional Cloud Architect, CKA (Certified Kubernetes Administrator), Microsoft Certified: DevOps Engineer Expert, or AWS Certified DevOps Engineer – Professional, are a plus. #LI-Hybrid #LI-Bolivia

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Responsibilities

Design and maintain scalable infrastructure on GCP and Kubernetes, focusing on orchestration, monitoring, and database management. Implement AI-driven DevOps workflows and manage secure CI/CD pipelines to ensure platform resilience and reliability.