Senior DevOps, DBA engineer

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.

KEY RESPONSIBILITIES

• Own and improve end-to-end CI/CD pipelines, infrastructure as code, and deployment automation workflows.
• Design, deploy, and operate AWS-based cloud infrastructure for high availability, scalability, and security.
• Build and support multi-AZ / multi-region architectures for 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 regularly validate backup and disaster recovery strategies, including RTO/RPO targets, restore testing, and DR runbooks.
• Partner with application, infrastructure, security, and platform teams to improve system reliability, automation, and operational maturity.
• Implement strong security and access controls, including IAM/RBAC, secrets management, encryption, vulnerability management, and audit logging.
• Build and enhance observability platforms using tools such as Prometheus, Grafana, ELK/EFK, CloudWatch, and distributed logging/monitoring solutions.
• Support incident response, root cause analysis, and post-incident improvements for production and business-critical systems.
• Optimize cloud spend through rightsizing, storage optimization, and cost visibility tooling such as AWS Cost Explorer.
• Support infrastructure and operational needs for data 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's degree in computer science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of hands-on experience in DevOps, cloud infrastructure, SRE, platform engineering, and/or DBA roles.
• Strong hands-on experience with AWS, including services related to compute, networking, IAM, storage, monitoring, backup, and security.
• Proven experience with Kubernetes, Terraform, Jenkins/GitHub Actions, and modern CI/CD practices.
• Strong experience in database administration, including backup/recovery, replication, patching, upgrades, performance tuning, and security hardening.
• Experience designing and operating high availability and disaster recovery solutions, including multi-region deployment patterns, failover testing, and RTO/RPO planning.
• Knowledge of networking fundamentals, including VPCs, routing, ingress/egress, load balancing, DNS, VPN/private connectivity, and WAF.
• Experience with monitoring, alerting, logging, and incident response in cloud-native environments.
• Strong understanding of cloud security best practices, including IAM, RBAC, encryption, key management, auditability, and compliance controls.
• Experience supporting data platforms such as relational databases, NoSQL systems, streaming platforms, or search/analytics platforms.
• Exposure to Data/AI infrastructure such as ETL/data pipelines, data lakes/warehouses, model deployment environments, vector/search systems, or AI application support is highly preferred.
• Strong communication and stakeholder management skills.

PREFERRED QUALIFICATIONS

• AWS certifications such as AWS Certified DevOps Engineer, Solutions Architect, or Database Specialty.
• Experience with multi-region AWS architecture for production platforms.
• Experience with backup automation, DR drills, and restore validation.
• Exposure to platforms such as OpenSearch, Kafka/MSK, Redis/MemoryDB, MongoDB/DocumentDB, RDS/Aurora, or similar systems.
• Familiarity with AI/ML platform operations, MLOps tooling, or infrastructure supporting data science and AI workloads.

Important: Tekion will only contact candidates from an @tekion.com email address or through our applicant tracking system (no-reply@ashbyhq.com). We may also work with authorized recruiting partners from time to time. Tekion and its recruiting partners will never ask you to pay fees or send money for applications, interviews, training, or onboarding. If you receive a message that seems suspicious, please do not respond or share personal or financial information.