Now hiring!
Posted 6 months ago
Responsibilities
Linqia is the leader in the influencer marketing industry. We are a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.
We value intelligence, recognize talent, and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer-first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity, and love to have fun as we play to win.
SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER
Experience Level:
- 3+ years of experience supporting production SaaS in AWS.
Location:
- Anywhere in LATAM, preferably in Colombia.
Employment Type:
- Full-time contract.
ABOUT THE ROLE:
- Build out a cloud-native team that owns the entire software delivery life cycle on Amazon Web Services.
- You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient.
- Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.
WHAT YOU WILL DO:
- Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost-management controls using Terraform and the AWS console.
- Maintain secure networking layers with AWS load balancers, ingress controllers, service-mesh policies, network policies, and zero-trust principles.
- Operate and harden production-grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi-cluster architectures driven by Argo CD.
- Build reusable infrastructure-as-code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least-privilege access.
- Create self-service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments.
- Deliver real-time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues.
- Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef.
- Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.
- Support developers by maintaining Podman-based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand-off from local code to cloud-native deployments.
- Implement FinOps practices: track and forecast AWS spend, enforce cost-allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost-optimization dashboards for engineering and finance stakeholders.
- Write automation utilities and command-line tools in Python and craft shell scripts that glue components and workflows together.
- Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service-level objective tracking.
- Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices.
WHAT YOU BRING:
- Bachelor's degree in Computer Science or equivalent practical experience.
- Three plus years working with cloud infrastructure or platform engineering focused on AWS.
- Deep hands-on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources.
- Proficiency in Python and Bash or Zsh scripting.
- Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch.
- Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimization on AWS.
- Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments.
- Hands-on practice with configuration-management tools such as Ansible or Puppet and infrastructure-as-code with Terraform.
- Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards.
- Comfortable with Git-based workflows, feature branching, and pull-request reviews.
- Strong SQL skills and a deep understanding of relational database internals.
- Competent in Linux administration, process troubleshooting, and performance tuning.
- Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools.
- Clear communication skills and an ability to translate complex technical topics to diverse audiences.
- Familiarity with Scrum or Kanban and a continuous-improvement mindset.
EXTRA CREDIT:
- AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner.
- Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS.
- Building data pipelines with Apache Spark, Flink, or similar frameworks.
- Implementing event-driven architectures with Kafka Streams or KSQL.
- Applying SRE practices such as error budgets and service-level dashboards.
- Exposure to machine-learning workflows, ModelOps, or MLOps in production.