DevOps Engineer
Linqia
DevOps EngineerLinqia is the leader in the influencer marketing industry. We're 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.About The RoleBuild 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 DoDesign, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost-management controls using Terraform and the AWS consoleMaintain secure networking layers with AWS load balancers, ingress controllers, service-mesh policies, network policies, and zero-trust principlesOperate and harden production-grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi-cluster architectures driven by Argo CDBuild reusable infrastructure-as-code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least-privilege accessCreate self-service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environmentsDeliver real-time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issuesAdminister and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or ChefDeploy, 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 deploymentsImplement 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 stakeholdersWrite automation utilities and command-line tools in Python and craft shell scripts that glue components and workflows togetherChampion reliability through incident reviews, capacity planning, game days, chaos testing, and service-level objective trackingCollaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practicesWhat You BringBachelor degree in Computer Science or equivalent practical experienceThree plus years working with cloud infrastructure or platform engineering focused on AWSDeep hands-on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resourcesProficiency in Python and Bash or Zsh scriptingStrong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatchDemonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWSSolid experience with Docker and container runtimes, with emphasis on Podman for local development environmentsHands-on practice with configuration-management tools such as Ansible or Puppet and infrastructure-as-code with TerraformProven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboardsComfortable with Git-based workflows, feature branching, and pull-request reviewsStrong SQL skills and a deep understanding of relational database internalsCompetent in Linux administration, process troubleshooting, and performance tuningPractical knowledge of TCP/IP, TLS, DNS, and common networking toolsClear communication skills and an ability to translate complex technical topics to diverse audiencesFamiliarity with Scrum or Kanban and a continuous-improvement mindsetExtra CreditAWS certifications such as Solutions Architect, DevOps Engineer, or FinOps PractitionerExperience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMSBuilding data pipelines with Apache Spark, Flink, or similar frameworksImplementing event-driven architectures with Kafka Streams or KSQLApplying SRE practices such as error budgets and service-level dashboardsExposure to machine-learning workflows, ModelOps, or MLOps in productionThis 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.
$45 - $55 per hour
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