Senior Database Reliability Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design, upgrade, architect, and construct scalable infrastructure utilizing Kubernetes, AWS, RDS (MySQL/Postgres), and distributed patterns.

• Propel the infrastructure team's roadmap towards enhanced reliability, recoverability, and scalability.

• Oversee capacity planning, benchmarking, stress testing, bottleneck identification, and preparations for growth.

• Define, maintain, and enforce SLAs and infrastructure alerts.

• Enhance anomaly detection and establish flexible alerting systems.

• Spearhead AI enablement initiatives to improve infrastructure reliability, developer productivity, and internal tooling.

• Foster consistency and scalability throughout a distributed microservices architecture.

• Establish and refine observability, security, and CI/CD engineering best practices.

• Mentor engineers while encouraging learning, innovation, and operational excellence.

• Collaborate across functions to translate business objectives into technical roadmaps and achieve results.

• Identify and resolve issues across infrastructure, deployments, operational workloads, and systems.

⛳️ Requirements

• A minimum of 6 years of professional experience in software engineering or infrastructure engineering, including substantial SRE and backend experience.

• Recently deployed significant changes to a production application or infrastructure configuration within the last 30 days.

• Strong expertise in Golang and experience in building and maintaining RESTful APIs.

• Proficient in SQL-based RDBMS, including MySQL and PostgreSQL, with skills in optimizing schemas and queries for performance at scale.

• Familiarity with observability tools such as Prometheus, Grafana, Datadog, or New Relic.

• Understanding of distributed systems design patterns, including transactional outbox, event-driven architecture, stream processing, and queues.

• Ability to introduce new ideas, influence decision-making, and lead complex technical initiatives.

• Proven experience working with Claude or equivalent large language model tools is required.

• Bachelor’s degree in Computer Science.

• Must consistently work from 6:00 AM to 2:00 PM EST while based in India.

• Preferred: Knowledge of AWS cloud infrastructure, AWS Aurora RDS, data engineering, data pipelines, data warehousing, CI/CD pipelines, containerized microservices in Kubernetes, AI developer tooling, commercial APIs, data-driven applications, and high-traffic services.

🏝️ Benefits

• Opportunities for career advancement.

• High level of autonomy and authority.

• Flexible, dynamic, and fast-paced team environment.

• A culture that promotes learning, innovation, and operational excellence.

• Chance to work with AI tooling and contribute to AI enablement efforts.