Applied AI Software Engineer (2-10 years) - US About WideField SecurityAt WideField Security, our mission is simple and ambitious: we stop identity breaches.Eighty percent of today’s attacks start with an identity incident, yet enterprises still lack visibility and control over how identities are used, shared, and abused. WideField was founded to solve this problem by providing a new layer of protection focused on identities in use.Our platform continuously monitors every human and non-human session across applications and cloud environments to detect identity-based threats in real time.We are an early-stage, high-growth cybersecurity startup backed by Crosspoint Capital Partners and Engineering Capital. We have already achieved early success with enterprise customers who believe that the next frontier of security lies in protecting identities, not just credentials. Join a team that invests in you, offering top-tier health, dental, and vision benefits, coupled with a highly competitive salary and generous equity compensation.Core Qualifications :Building Highly Scalable Microservices: Proven track record of designing and implementing distributed systems and microservice architectures that handle high traffic and volume.Agentic AI Systems: Experience building, integrating, or operating AI agents and agentic workflows for automation, analysis, and decision support is a strong plus.Containerization Platforms: Deep expertise with container technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).AWS (Amazon Web Services): Strong experience with core AWS services (e.g., EC2, S3, Lambda, RDS, VPC etc.) and building cloud-native applications.Databases: Significant experience working with both SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Redis), including schema design and optimization.Metrics and Alerting: Experience implementing robust monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Datadog) to ensure system health and performance.What Makes You a Great Fit:Golang (Go): Extensive professional experience developing production-grade services in Go.Problem Solver: A strong, demonstrated ability to analyze complex issues and devise effective, long-term technical solutions.CyberSecurity Experience: Knowledge of common security vulnerabilities, defensive coding practices, and experience implementing security features in backend services.Excellent Debugging Skills: Ability to quickly isolate, diagnose, and resolve complex production issues.Ownership and Responsibility: Proactive approach with a strong sense of ownership over the product, code quality, and system reliability.Startup DNAAt WideField, we are building something that has never been done before. That requires a special kind of person.We are looking for someone who:Is a self-starter who takes ownership from day one.Can operate creatively and efficiently on a startup budget.Shows perseverance and grit, is not afraid to experiment, fail fast, learn, and improve.Brings a positive, can-do attitude and thrives in a collaborative, high-trust culture