Senior DevOps Engineer

About the Role

Join Truv's Infrastructure team to build and scale the platform powering the future of financial data access. This is a high-impact role with significant ownership in a fast-growing, innovative fintech company.

Responsibilities

• Architect and scale AWS infrastructure, including Kubernetes, autoscaling, and networking.
• Design and implement a comprehensive observability and alerting platform from scratch.
• Lead infrastructure builds for compliance standards such as SOC 2 and HIPAA.
• Harden container workloads and manage secrets across various environments.
• Own and optimize the shared infrastructure stack (Postgres, Redis, Celery) to ensure reliability and performance.
• Build and maintain efficient, secure CI/CD pipelines.
• Extend and manage Terraform for reproducible and audit-ready environments.
• Define and enforce reliability practices, including SLOs, incident response, and post-mortems.
• Reduce deployment friction and improve developer environments to unblock engineering teams.
• Participate in on-call rotations and lead incident response efforts.

Requirements

• 5+ years of experience in DevOps, SRE, or Infrastructure Engineering.
• Deep expertise with AWS and hands-on production experience with Kubernetes.
• Strong understanding of cloud-native container orchestration, networking, and security.
• Solid Infrastructure as Code experience, preferably with Terraform.
• Proven experience building and maintaining CI/CD pipelines.
• Experience with monitoring and observability platforms.
• Demonstrated ability to own projects end-to-end, from scoping to operation.
• Ability to write clear decision documents and articulate infrastructure tradeoffs.
• Experience building infrastructure in a fast-moving startup environment.
• Thrives in a startup culture, adapting to shifting priorities and taking initiative.

Preferred Skills

• Hands-on compliance work (SOC 2 or HIPAA) in regulated industries.
• Experience with event-driven autoscaling and async task processing systems.
• Experience with isolated or partitioned cloud environments for regulated workloads.
• Python scripting for automation and tooling.
• Experience with relational database administration, tuning, and scaling.
• Background in cost optimization and FinOps practices.
• Experience with secrets management and Kubernetes package management.