Why Join Lytx

At Lytx, you'll have the opportunity to work on cutting-edge technologies and contribute to the Database Infrastructure and Solutions to help support the scalability of our global IoT platform. You'll collaborate with cross-functional teams, drive innovation, and play a crucial role in shaping the future of our infrastructure practices.

The Staff Database Administrator is a senior individual contributor responsible for the design, implementation, and operation of cloud database services that are highly available, scalable, secure, and cost-effective. This role provides technical leadership across Amazon RDS (Postgres, MySQL, Aurora), MongoDB Atlas, and Microsoft SQL Server, enabling SaaS applications and cloud operations to run reliably at scale. The engineer plays a key role in incident management, participates in on-call rotations, and partners with a 24x7x365 Managed Service Provider (MSP) to maintain production stability.

Key Responsibilities

Own day-to-day operations and advanced administration of AWS RDS (Postgres, MySQL, Aurora), MongoDB Atlas, Redshift and Microsoft SQL Server, including configuration, patching, scaling, and troubleshooting.
Configure MCP (Model Context Protocol) for Postgres/mysql & Leverage all AI Capabilities to automate all the DB related tasks.
Implement and refine database standards, automation, and operational runbooks to ensure availability, performance, security, and compliance across all environments.
Collaborate with application and platform engineering teams on schema design, indexing strategies, query tuning, and data lifecycle management to optimize workload performance and cost.
Design, build, and maintain automation for provisioning, patching, backups, cloning, and monitoring using tools such as AWS CloudFormation, Terraform, and native AWS services like CloudWatch and Systems Manager.
Implement and enhance observability for databases, including metrics, logs, traces, alert thresholds, and performance dashboards to enable proactive detection and rapid diagnosis of issues.
Design and validate high availability, backup, and disaster recovery strategies across regions and accounts, including regular testing and documentation of recovery procedures
Participate in a 24x7x365 on-call rotation for production database incidents, leading technical response for Sev1/Sev2 events and driving toward rapid containment and resolution
Mentor other Database Administrators and platform engineers through design reviews, pairing, and knowledge sharing, helping elevate overall team capability while remaining as an individual contributor.
Own and standardize database schema change management across the organization using tools such as Liquibase, ensuring all changes are version-controlled, peer-reviewed, auditable, and safely deployable.
Lead adoption of AI-driven database operations (AIOps), leveraging anomaly detection, predictive alerting, workload forecasting, intelligent log analysis, and LLM-assisted runbook generation to improve service reliability, reduce mean time to detect/respond (MTTD/MTTR), and accelerate root cause analysis across cloud database platforms.

Required Qualifications

Minimum 9 years of hands-on experience as a Database Administrator.
Extensive hands-on experience operating production workloads on Amazon RDS (Postgres, MySQL, Aurora), MongoDB Atlas, and Microsoft SQL Server in a SaaS or large-scale cloud environment.
Proven expertise in performance tuning, query optimization, indexing strategies, and troubleshooting complex database issues under time pressure.
Strong proficiency in infrastructure-as-code, scripting, and automation using tools such as Terraform, CloudFormation, and at least one scripting language (e.g., Python, Bash).
Demonstrated experience in 24x7 operations, on-call support, and incident management, including working with or within MSP models.
Solid understanding of HA/DR patterns, replication, backup and restore strategies, and security best practices for cloud databases.
Hands-on experience implementing database schema change management tools (Liquibase or equivalent) in CI/CD pipelines.
Hands-on experience with MCP (Model Context Protocol), AIOps, ML-driven monitoring, observability platforms, and generative AI / LLM-based assistants for incident triage, log summarization, SQL and query analysis, performance tuning, capacity planning, automation design, runbook generation, SRE operations, and production support in AWS cloud database environments.

You're driven to succeed and so are we. At Lytx, our mission is to protect a world in motion, and we do it by building technology and partnerships that help keep people safe on the road. The way we work is guided by our shared values: Deliver for the customer, Responsibility in every outcome, Innovate with purpose, Velocity with excellence, and Elevate each other.

If you're looking for meaningful work, a team that challenges and supports you, and the chance to grow your career while making a real impact, we'd love to meet you.

Together, we're helping make roadways safer and saving lives!

Lytx, Inc. is proud to be an equal opportunity employer. We're committed to building a diverse and inclusive workforce and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, gender, genetic information, uniformed service, national origin, age, veteran status, disability, pregnancy, or any other status protected by federal or state law. We are committed to providing reasonable accommodation for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [HIDDEN TEXT]. Lytx conducts background checks on applicants who receive a conditional offer of employment in accordance with applicable local, state, federal and regional laws. Qualified applicants with arrest or conviction records will be considered. Background check results may potentially result in the withdrawal of a conditional offer of employment and will be made in accordance with all applicable local, state, federal and regional laws.

Staff Administrator (Database)