DevOps engineer

We’re not your typical dating app — we’re unapologetically real, a little cheeky, and all about empowering people to connect on their terms. With over 16 million users worldwide and ranked among the Top 10 most-downloaded dating apps in the U.S. last year, we’re making love (and everything in between) more transparent, more fun, and less awkward.

We're a lean, passionate team building something that actually helps people feel seen and understood—and now we’re looking for a Dev Ops engineer to help us scale, experiment boldly, and bring smoother love stories to life.

• Build & maintain infrastructure:
  Design, deploy, and optimize backend services and cloud architectures (primarily on AWS).
• Solve complex problems:
  Identify technical challenges and deliver elegant, scalable solutions.
• Enable velocity:
  Automate CI/CD pipelines, testing, and support workflows to speed up development and reduce errors.
• Optimize performance:
  Monitor, troubleshoot, and improve system reliability and efficiency at scale.
• Secure systems:
  Implement and enforce best practices for cloud and application security.
• Collaborate cross-functionally:
  Partner with engineers, product managers, and support teams to deliver a smooth end-to-end user experience.
• Improve processes:
  Continuously refine development, release, and monitoring practices.

• 4+ years of experience designing and running scalable, highly available systems in production.
• Strong background in AWS (EC2, Lambda, RDS, S3, Cloud Watch, etc.) with deep focus on cost optimization and reliability.
• Hands‑on with Infrastructure as Code (Terraform, Cloud Formation, or similar).
• Expertise in databases at scale: partitioning, sharding, query optimization, and performance tuning.
• Experience with microservices and serverless architectures.
• Proficiency with RESTful APIs, version control (Git), and agile practices.
• Knowledge of security best practices for web and mobile applications.
• Experience with automated testing and CI/CD frameworks.
• Strong troubleshooting skills and a track record of improving system performance.

• Familiarity with observability stacks (Prometheus, Grafana, ELK, Datadog, etc.).
• Contributions to open source or Dev Ops communities.
• Experience with data engineering workflows: building or maintaining ETL/ELT pipelines.
• Experience with SQL and optimizing queries for analytics use cases.
• Familiarity with data warehouses such as Big Query, Snowflake, or Redshift.
• Exposure to tools like Airflow, dbt, or Kafka for orchestration and data reliability.
• Comfortable partnering with data/analytics teams to make data more accessible and trustworthy