About Tekion:
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
KEY RESPONSIBILITIES
- Own and improveend-to-end CI/CD pipelines, infrastructure as code, and deployment automation workflows.
- Design, deploy, andoperateAWS-based cloud infrastructurefor high availability, scalability, and security.
- Build and supportmulti-AZ / multi-region architecturesfor critical workloads, including failover and resiliency patterns.
- Manage and administer databases, including:
- installation and upgrades
- patching and hardening
- backup/restore operations
- schema/data migrations
- storage expansion and capacity planning
- performance tuning and query optimization
- Define, implement, and regularlyvalidatebackup and disaster recovery strategies, includingRTO/RPO targets, restore testing, and DR runbooks.
- Partner with application, infrastructure, security, and platform teams to improvesystem reliability, automation, and operational maturity.
- Implement strongsecurity and access controls, including IAM/RBAC,secretsmanagement, encryption, vulnerability management, and audit logging.
- Build and enhanceobservability platformsusing tools such as Prometheus, Grafana, ELK/EFK, CloudWatch, and distributed logging/monitoring solutions.
- Supportincident response, root cause analysis, and post-incident improvements for production and business-critical systems.
- Optimizecloud spend through rightsizing, storage optimization, and cost visibility tooling such asAWS Cost Explorer.
- Support infrastructure and operational needs fordata and AI platforms, including reliable environments for data pipelines, analytics workloads, model-serving platforms, or AI-enabled applications.
- Contribute to engineering standards, documentation, runbooks, and platform best practices.
REQUIRED QUALIFICATIONS
- Bachelor's or master'sdegree in computer science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of hands-on experiencein DevOps, cloud infrastructure, SRE, platform engineering, and/or DBA roles.
- Strong hands-on experience withAWS, including services related tocompute, networking, IAM, storage, monitoring, backup, and security.
- Proven experience withKubernetes, Terraform, Jenkins/GitHub Actions, and modern CI/CD practices.
- Strong experience indatabase administration, including backup/recovery, replication, patching, upgrades, performance tuning, and security hardening.
- Experience designing andoperatinghigh availability and disaster recovery solutions, includingmulti-region deployment patterns, failover testing, and RTO/RPO planning.
- Knowledge ofnetworking fundamentals, including VPCs, routing, ingress/egress, load balancing, DNS, VPN/private connectivity, and WAF.
- Experience withmonitoring, alerting, logging, and incident responsein cloud-native environments.
- Strong understanding ofcloud security best practices, including IAM, RBAC, encryption, key management, auditability, and compliance controls.
- Experience supportingdata platformssuch as relational databases, NoSQL systems, streaming platforms, or search/analytics platforms.
- Exposure toData/AI infrastructuresuch as ETL/data pipelines, data lakes/warehouses, model deployment environments, vector/search systems, or AI application support is highly preferred.
- Strong communicationand stakeholder management skills.
PREFERRED QUALIFICATIONS
- AWS certifications such as AWS Certified DevOps Engineer, Solutions Architect, or Database Specialty.
- Experience withmulti-region AWS architecturefor production platforms.
- Experience withbackup automation, DR drills, and restore validation.
- Exposure to platforms such asOpenSearch, Kafka/MSK, Redis/MemoryDB, MongoDB/DocumentDB, RDS/Aurora, or similar systems.
- Familiarity withAI/ML platform operations,MLOpstooling, or infrastructure supporting data science and AI workloads.
Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.