Senior Software Engineer, Platform Engineering
Distributed Spectrum22 hours ago
Base Salary
$150k - $200k/yr
Responsibilities
- Design, build, and operate reproducible cloud infrastructure across environments using infrastructure-as-code.
- Own CI/CD pipelines, artifact management, testing gates, progressive delivery, and rollback strategies for services, ML models, and data jobs.
- Automate infrastructure scaling, deployments, GPU and CPU autoscaling, capacity planning, and cloud cost controls.
- Embed secrets management, IAM, least-privilege access, vulnerability scanning, dependency and container hardening, policy-as-code, and audit logging into the platform.
- Build platform-level metrics, logs, tracing, alerting, and SLO capabilities.
- Operate large-scale cloud deployments, respond to incidents, and implement post-incident improvements.
- Create developer tooling and paved paths that enable product engineers to ship safely.
Requirements
- 4+ years of experience in platform, infrastructure, DevOps, or SRE roles supporting production systems at meaningful scale.
- Hands-on DevSecOps experience integrating security scanning, secrets handling, access control, and compliance checks into delivery pipelines.
- Deep experience with CI/CD tooling and deployment strategies such as blue/green, canary, and feature-flag deployments.
- Strong experience with AWS, GCP, or Azure at scale, including compute, networking, storage, IAM, managed Kubernetes, and cost management.
- Expert infrastructure-as-code experience with Terraform, Pulumi, CloudFormation, CDK, or similar, plus configuration management or GitOps workflows.
- Production experience with Docker, Kubernetes, and Helm, including autoscaling and multi-environment management.
- Strong programming ability in Python, Go, or Bash for automation and tooling.
- Strong operational judgment around failure modes, blast radius, and recoverability.
- Preferred experience running GPU workloads and ML infrastructure in the cloud.
- Preferred familiarity with compliance frameworks and secure or air-gapped deployments such as FedRAMP, CMMC, or IL environments.
- Preferred experience with edge or hybrid deployments and observability stacks such as Prometheus, Grafana, OpenTelemetry, or Datadog.
Benefits
- Above-market salary, equity, and benefits package.
- Early Series A equity.
- Health, dental, and vision coverage.
- 401(k) match up to 4% of salary.
- Flexible PTO.
- Daily office lunches in NYC.
- ITAR eligibility requires U.S. citizenship, lawful permanent residence, protected-individual status, or eligibility to obtain required U.S. Department of State authorizations.
Tech Stack
AWSAzureBashBuildkiteDatadogDockerGitHub ActionsGitLab CI/CDGoGoogle Cloud PlatformGrafanaHelmJenkinsKubernetesPrometheusPythonTerraform
Categories
About Distributed Spectrum
Distributed Spectrum builds software and sensor systems for radio spectrum intelligence, combining signal processing, machine learning, and embedded computing for defense and government operators. Its products collect and analyze RF data and run trained models on low-power devices to detect and interpret critical signals in the field. Founded in 2020 and headquartered in New York, the company is privately held and venture-backed.