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‑optimisation 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 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 optimisation 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

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.