Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Proficiency developing backend services in Java with Spring Boot within microservices architectures.
Ability to design and implement RESTful web services and APIs.
Hands-on experience defining cloud infrastructure as code with Terraform and operating services on AWS.
Experience containerizing and orchestrating applications with Docker and Kubernetes.
Practical experience with relational and NoSQL databases, including Postgres, Cassandra, MongoDB, and Redis.
Experience building and maintaining event streaming solutions using Kafka or RabbitMQ.
Well-versed in DevOps and SRE practices, including CI/CD with Jenkins and observability using Splunk and Grafana.
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Preferred qualifications, capabilities, and skills
Cloud certification in AWS.
Experience implementing observability and SRE practices using Splunk and Grafana.
Experience with performance tuning, capacity planning, and reliability engineering for high-throughput services.
Familiarity with secure coding practices and threat modeling.
