Senior Software Engineer building scalable Python and AWS infrastructure for d1g1t’s institutional wealth management platform. Driving implementation, deployment, troubleshooting, and large - dataset performance.
About the role
- Senior Platform Engineer building resilient Go and Kubernetes platforms for Virtasant’s cloud-native products. Owning reliability, infrastructure as code, observability, and developer delivery tools.
Responsibilities
- Design, build, and operate production Kubernetes clusters, including networking, workload isolation, and multi-region topologies
- Work with Kubernetes internals, resource quotas, scheduling, NetworkPolicy enforcement, and custom controllers or operators
- Implement and operate service mesh capabilities, including mTLS, workload authentication and authorization, and traffic management
- Optimize containerized workloads for performance, cost, and resource efficiency
- Write, refactor, and maintain production Go services, controllers, and middleware
- Build HTTP, REST, and gRPC interfaces for internal engineering teams
- Write unit and integration tests
- Lead incident response, investigate root causes, and author postmortems
- Troubleshoot production systems using logs, metrics, traces, and profiling tools
- Diagnose and resolve distributed-system performance and reliability problems
- Define and drive SLOs and actionable alerting
- Own infrastructure as code and maintain reusable modules
- Build and improve CI/CD and GitOps delivery workflows
- Balance developer velocity with reliability, security, and compliance
- Build and maintain metrics, dashboards, alerting policies, and distributed tracing
- Partner with product, security, and infrastructure teams on requirements and architecture
- Contribute to design reviews, set technical direction, and mentor engineers
Requirements
- 6+ years of professional experience in software, platform, infrastructure, or site reliability engineering
- Significant experience operating production distributed systems
- Demonstrated experience building and operating production Kubernetes platforms
- Production experience writing Go and ability to use Go as the primary day-to-day language
- Experience taking ambiguous system designs through production
- Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong understanding of Kubernetes internals, including CNI networking, NetworkPolicy, resource management, and cluster behavior under load
- Hands-on experience with a service mesh such as Istio, Envoy, or Linkerd, plus mTLS and workload identity
- Solid Linux fundamentals, including cgroups and resource management
- Infrastructure as code at scale using Terraform or equivalent
- Production experience with GCP, AWS, or Azure
- Experience with Prometheus, Grafana, OpenTelemetry, and query languages such as PromQL
- Production experience with relational databases, including PostgreSQL or managed Postgres-compatible services, and replication and failover
- Docker and container tooling experience
- Strong debugging and performance profiling skills
- Strong analytical and problem-solving ability
- Clear written and verbal communication
- Ability to work independently within a distributed team
- Comfort working in a fast-moving, highly technical environment
- Pacific Hours availability: 8:00 AM–5:00 PM PST
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