Senior Cloud Database Engineer

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Cloud Database Engineer in United States. This role sits at the core of a high-scale, cloud-native financial technology platform responsible for processing billions of transactions globally. The engineer will design, optimize, and automate mission-critical database systems that ensure performance, availability, and resilience across distributed environments. Operating within a highly collaborative cloud engineering team, the role focuses on advancing AWS-based database infrastructure, improving scalability, and driving reliability through automation-first principles. It is an opportunity to influence the evolution of large-scale relational and NoSQL systems supporting real-time financial services. The environment is fast-paced, deeply technical, and centered on continuous improvement and operational excellence. The role also involves close collaboration with application, platform, and SRE teams to ensure seamless data operations across the organization.
• Accountabilities Own and evolve cloud database systems supporting high-scale, real-time transactional platforms, ensuring reliability, availability, and performance across distributed environments. Design and implement database architecture solutions including high availability, disaster recovery, replication, partitioning, and sharding strategies. Automate database lifecycle management for cloud-native environments, with a strong focus on AWS services such as Aurora, MySQL, PostgreSQL, DynamoDB, and related tooling. Collaborate with engineering teams to analyze performance, resolve incidents, conduct root cause analysis, and implement long-term remediation strategies. Develop infrastructure-as-code and CI/CD pipelines to streamline deployments, improve consistency, and reduce manual operational overhead. Build and enhance monitoring, alerting, and observability frameworks using modern tooling to ensure proactive system health management. Contribute to architectural decision-making, technical documentation, and cross-functional alignment on database strategy and evolution. Mentor junior engineers and contribute to engineering best practices, standards, and continuous improvement initiatives. Requirements This role requires strong experience in backend and cloud database engineering, ideally within high-scale, distributed systems environments. Candidates should bring deep expertise in cloud-native databases (particularly AWS), strong SQL proficiency, and hands-on experience with automation, infrastructure, and performance tuning. You should be comfortable working across engineering, platform, and operations teams in a highly collaborative and ownership-driven environment. 5+ years of backend or database engineering experience, or 7+ years of equivalent professional experience in lieu of a degree Strong experience with AWS cloud databases including Aurora, MySQL, PostgreSQL, and NoSQL systems such as DynamoDB or MongoDB Solid understanding of database internals, query optimization, indexing, replication, and distributed systems design Experience with high availability, disaster recovery, and cloud-based fault-tolerant architectures Proficiency in Python and strong familiarity with Linux environments and shell scripting Hands-on experience with infrastructure-as-code tools (e.g., Terraform) and CI/CD pipelines Experience with monitoring and observability platforms such as Datadog Strong automation mindset with a focus on reducing manual operations and improving system reliability Excellent communication skills, strong ownership mentality, and ability to work cross-functionally Nice to have: experience in FinTech or payments, database migrations, ProxySQL or RDS Proxy, and AI-assisted tooling Benefits Competitive base salary range: $144,100 – $180,100 USD Annual performance-based bonus eligibility Equity in a publicly traded company and employee stock purchase program Multiple medical, dental, and vision insurance options Flexible time off and remote-first work model Retirement savings plan with company contributions Family-forming benefits, fertility support, and generous parental leave Wellness support including therapy sessions, financial coaching, and legal assistance Monthly remote work stipend and annual learning & development budget Inclusive, flexible work environment with global collaboration opportunities
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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