Sr. Engineer, Database Reliability

Jobgether; United States; Remote; USD 174,000 - 261,000; Full time

Benefits offered by this job

Remote work

Equity opportunities

Bonus potential

Paid time off

Job summary

Jobgether is seeking a Sr. Engineer, Database Reliability based in the United States. The role blends hands-on problem‑solving with architectural leadership to strengthen the data platform across MySQL, PostgreSQL, Redis, and cloud infrastructure.

You will guide reliability, scale, and performance, while mentoring engineers and shaping operational standards through runbooks and documentation. Strong collaboration with product teams is essential.

Qualifications

• 7+ years in systems administration, systems engineering, or software development, incl. 4+ years operating production relational databases.
• Deep expertise in either MySQL or PostgreSQL, with working knowledge of the other DB engine and its ecosystem.
• Experience designing, operating, and scaling caching systems such as Redis, with understanding caching vs. DB trade-offs.
• Proficiency with Terraform or similar IaC tools and automated, reviewable workflows.
• Familiarity with Kubernetes or other distributed systems and stateful workloads in orchestrated environments.
• Hands-on observability experience with Datadog, Prometheus, or CloudWatch including monitoring of query performance and service health.
• Strong coding and automation skills to build internal tools and backend services.
• Experience with incident response, production support, reliability engineering, and disaster recovery.
• Excellent communication and collaboration skills with product teams.

Responsibilities

• Own the reliability of caching infra, including capacity planning, failover, upgrades, and healthy usage patterns.
• Participate in production on-call rotation and act as escalation point for DB and caching incidents.
• Support teams with query troubleshooting, storage guidance, schema design, and performance optimization.
• Manage DB and cache infra through Terraform and IaC workflows for safe, repeatable changes.
• Develop reusable templates, standards, and workflows enabling scalable, secure services.
• Build and maintain observability solutions with dashboards, alerts, and SLIs/SLOs.
• Improve performance, resilience, and scalability across MySQL, PostgreSQL, and Redis as workloads evolve.
• Advise teams on DB architecture, technology choices, query patterns, and capacity planning.
• Lead design reviews, mentor engineers, and create documentation and runbooks.
• Write automation to reduce repetitive work and improve reliability practices.
• Apply AI thoughtfully to code, query plans, logs, and incident response with validation.

Skills

MySQL

PostgreSQL

Redis

Terraform

Kubernetes

AWS

Datadog

Prometheus

CloudWatch

Automation

Tools

Terraform

Datadog

Prometheus

CloudWatch

Kubernetes

AWS

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Engineer, Database Reliability based in the United States. We are seeking a senior database reliability engineer to shape and strengthen the infrastructure powering critical, stateful services. You will oversee relational databases and caching systems, driving reliability, scalability, performance, and operational excellence. Working across MySQL, PostgreSQL, Redis, and cloud infrastructure, you will establish best practices that help engineering teams build secure, resilient services. This remote role combines hands‑on technical problem‑solving with architectural leadership, automation, and mentorship. You will influence the evolution of the data platform while making reliable database operations easier for teams across the organization.

Accountabilities

• Own the reliability of caching infrastructure, including capacity planning, failover strategies, upgrades, and healthy usage patterns across Redis Enterprise and AWS ElastiCache.
• Participate in the production on‑call rotation and act as an escalation point for database and caching incidents.
• Support internal engineering teams with query troubleshooting, storage guidance, schema design, and database performance optimization.
• Manage database and cache infrastructure through Terraform and other infrastructure‑as‑code tools, improving provisioning workflows and ensuring safe, repeatable changes.
• Develop reusable database and cache templates, standards, and platform workflows that enable teams to launch scalable, secure, and performant services.
• Build and maintain observability solutions, including dashboards, alerts, metrics, logging, and service‑level objectives, to identify issues before they affect customers.
• Improve performance, resilience, and scalability across MySQL, PostgreSQL, and Redis environments as workloads evolve.
• Advise product and engineering teams on database architecture, technology selection, query patterns, caching strategies, and capacity planning.
• Lead technical design reviews, mentor engineers, and establish operational standards through documentation, reusable patterns, and runbooks.
• Write automation and tooling to eliminate repetitive work, solve infrastructure challenges, and improve the effectiveness of the database reliability practice.
• Apply AI tools thoughtfully to code development, query‑plan analysis, log investigation, documentation, and incident response, validating outputs carefully when working with production systems.

Requirements

• At least 7 years of experience in systems administration, systems engineering, or software development, including at least 4 years operating production relational databases.
• Deep expertise in either MySQL or PostgreSQL, with practical working knowledge of the other database engine and its ecosystem of extensions and tools.
• Experience designing, operating, and scaling caching systems such as Redis, with a strong understanding of the trade‑offs between caching and underlying databases.
• Proven experience building and maintaining highly available, cloud‑based database systems on AWS or another cloud platform.
• Proficiency with Terraform or similar infrastructure‑as‑code tools and experience managing infrastructure through automated, reviewable workflows.
• Familiarity with Kubernetes or other distributed systems and an understanding of the challenges of operating stateful workloads in orchestrated environments.
• Hands‑on experience implementing observability for data systems using tools such as Datadog, Prometheus, or CloudWatch, including meaningful monitoring of query performance, replication lag, cache hit rates, and service health.
• Strong coding and automation skills, with the ability to troubleshoot application code, build internal tools, and develop backend services when needed.
• Experience with incident response, production support, reliability engineering, performance optimization, and disaster recovery.
• Excellent communication and collaboration skills, with the ability to understand product teams’ workloads, explain technical trade‑offs, and help colleagues make informed decisions.
• Demonstrated technical leadership through design reviews, mentorship, knowledge sharing, and the development of clear, practical documentation.
• Sound judgment when using AI‑assisted tools, including the ability to verify generated code and analysis before applying them to production data systems.
• A proactive, customer‑focused mindset and a commitment to continuous improvement, shared ownership, and helping teams become more self‑sufficient.

Benefits

• United States salary range: $174,200–$261,200 per year.
• Additional compensation: Equity opportunities and performance‑based bonus potential.
• Remote work: Fully remote position, with eligibility dependent on approved work locations and applicable employment requirements.
• Competitive and equitable compensation practices: Pay is determined based on demonstrated experience, role‑related knowledge, skills, abilities, business impact, and internal equity.
• Full‑time employment within an engineering organization focused on infrastructure reliability, automation, and technical excellence.
• The role offers opportunities to shape database reliability practices, influence platform architecture, and mentor engineers across teams.
• Specific healthcare coverage, retirement benefits, paid time off, and other individual benefits were not detailed in the provided job description.