Senior Software Engineer – Platform & Data Infrastructure

Responsibilities

• Operate Cloud-Native Kubernetes Fleets: Own the lifecycle, network topology, node-pool migrations, and multi-region deployment of production Kubernetes clusters (GKE/EKS) supporting microservices at scale.
• Drive GitOps & CI/CD Delivery: Maintain automated GitOps reconciliation pipelines using FluxCD and Helm, driving cluster bootstrapping, progressive rollouts, and secret integrations.
• Scale Infrastructure as Code & Policy Governance: Architect modular Terraform codebases, manage enterprise workspaces (Terraform Enterprise/Terragrunt), and enforce compliance guardrails using policy-as-code frameworks (Sentinel/OPA).
• Maintain Data Platform Infrastructure: Build and optimize data pipelines and workflow orchestrations using Apache Airflow, Kafka, and enterprise data warehouses (e.g., BigQuery).
• Enforce Zero-Trust Security & Secrets Management: Integrate enterprise secret management tools (HashiCorp Vault, External Secrets Operator, Google Secret Manager/KMS) and enforce Workload Identity and network perimeter controls.
• Lead Complex Infrastructure Migrations: Direct zero-downtime infrastructure initiatives, including IP-addressing migrations, cluster rebuilds, and database cutovers.
• Drive Reliability, DR & On-Call Excellence: Active participation in on-call rotations, designing observability dashboards (Splunk, GCP Cloud Logging/Stackdriver), writing runbooks, and executing regional disaster recovery (DR) failover drills.
• Technical Mentorship: Guide mid-level and junior engineers through code/design reviews, establishing self-service infrastructure standards across the organization.
• Minimum Qualifications
• Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field.
• 4+ years of professional experience in platform engineering, Site Reliability Engineering (SRE), or cloud data infrastructure.
• Strong programming skills in modern languages/scripts such as Python, Bash, SQL, or Java.
• Deep experience operating enterprise-scale Kubernetes fleets (GKE or EKS) and container ecosystems.
• Extensive, practical experience writing modular Terraform and managing Infrastructure as Code at scale.
• Demonstrated experience operating event-streaming and workflow systems such as Apache Airflow, Kafka, or BigQuery.
• Preferred Qualifications
• Certifications: Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
• Hands-on experience with Terraform Enterprise (TFE) and writing Sentinel or Open Policy Agent (OPA) policy-as-code guardrails.
• Proven experience with GitOps workflows utilizing FluxCD or ArgoCD across multi-tenant production fleets.
• Advanced secrets management expertise using HashiCorp Vault and Kubernetes External Secrets Operator.
• Track record of executing large-scale cloud migrations, data warehouse transitions (e.g., Vertica to BigQuery), or networking range overhauls with zero customer impact.
• The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.
• ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.
• Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.
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