Site Reliability Engineer

Vynca is a company dedicated to transforming care for individuals with complex needs. They are seeking a Site Reliability Engineer to build and operate the infrastructure that powers their healthcare technology platform, ensuring reliability, scalability, and security of their systems.

Responsibilities:

• Design, provision, and manage AWS infrastructure using Terraform as the source of truth
• Operate, maintain, and scale production workloads running on Kubernetes
• Package, deploy, and manage applications using Helm and infrastructure automation tools
• Build, operate, and improve distributed and event-driven systems, including event sourcing, partitioning, event ordering, replay, and failure recovery mechanisms
• Define, monitor, and maintain Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to balance reliability and engineering velocity
• Develop automation for deployment, scaling, monitoring, incident response, and operational workflows to reduce manual effort and improve system resilience
• Own platform observability by implementing and maintaining metrics, logging, tracing, monitoring, and alerting solutions
• Lead incident response efforts, facilitate blameless postmortems, and drive long-term corrective actions that improve system reliability
• Partner with Product and Engineering teams on capacity planning, performance optimization, and resilient system design
• Implement and maintain security best practices to support HIPAA, SOC 2, and other compliance requirements
• Participate in an on-call rotation and provide operational support for production systems

Requirements:

• Three to five (3–5) years of experience in Site Reliability Engineering, DevOps Engineering, Platform Engineering, Cloud Infrastructure Engineering, or similar infrastructure-focused roles, preferably within healthcare, SaaS, or high-growth technology environments
• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical field; equivalent professional experience will also be considered
• Strong hands-on experience operating production workloads within AWS environments
• Proven experience managing infrastructure as code using Terraform, including module development, state management, and deployment automation
• Experience operating and supporting production Kubernetes environments
• Hands-on experience deploying and managing applications using Helm
• Experience working with distributed systems, event-driven architectures, or event-sourcing platforms, including concepts such as partitioning, event ordering, replay, and fault tolerance
• Experience establishing and managing observability practices including monitoring, logging, tracing, alerting, and incident response
• Strong understanding of Linux systems administration, networking, cloud architecture, and distributed systems fundamentals
• Experience designing, implementing, and maintaining CI/CD pipelines and deployment automation
• Strong problem-solving skills with the ability to troubleshoot complex infrastructure and application issues
• Excellent written and verbal communication skills with the ability to collaborate effectively across technical and non-technical teams
• High level of ownership, accountability, and initiative with a proactive approach to reliability and operational excellence
• Ability and willingness to participate in an on-call rotation supporting production systems
• Strong programming or scripting experience with Python, Go, or similar languages
• Experience with observability platforms such as Prometheus, Grafana, Datadog, CloudWatch, SigNoz, or OpenTelemetry
• Experience with GitOps tools such as ArgoCD or Flux
• Experience managing databases such as PostgreSQL, MySQL, Redshift, or ClickHouse
• Experience implementing secrets management solutions such as AWS Secrets Manager or HashiCorp Vault
• Experience supporting healthcare technology platforms or other highly regulated environments
• Familiarity with data infrastructure technologies including Snowflake, Redshift, and ETL/ELT pipelines
• Experience with database performance tuning and optimization