DevOps Engineer

core services, data models, and AI/LLM platform.

AWS-native platform

• Design, maintain, and optimize

  CI/CD pipelines

  to enable fast, reliable deployments.
• Manage and scale

  AWS ECS/EKS

  clusters for containerized workloads.
• Implement strong

  monitoring, logging, and alerting

  systems for observability.
• Ensure platform

  security and compliance

  with

  HIPAA

  and

  SOC2

  .
• Automate infrastructure using

  Infrastructure as Code

  (Terraform/CloudFormation).
• Continuously tune AWS usage for

  performance and cost optimization.

• Collaborate with developers to improve velocity and build self-service tooling.
• Support

  incident response, troubleshooting, and postmortems.

• 5+ years in a

  DevOps, SRE, or Cloud Engineering

  role.
• Strong experience with

  AWS services

  (ECS, EKS, EC2, S3, RDS, IAM, etc.).
• Proficiency with

  Docker

  and container orchestration.
• Hands-on experience with

  CI/CD tools

  (e.g., Jenkins, GitHub Actions, GitLab CI).
• Solid understanding of

  monitoring and observability

  (CloudWatch, Prometheus, ELK, etc.).
• Hands-on experience with

  Terraform or CloudFormation.

• Excellent problem-solving and collaboration skills.

• AWS Certifications

  (Solutions Architect, DevOps Engineer, SysOps Administrator, or similar).
• Experience running

  Jenkins pipelines

  at scale.
• Background in

  security automation

  and compliance (SOC2, HIPAA).
• Cloud

  cost optimization

  experience.
• Knowledge of networking, secrets management, and incident response best practices.
• Strong scripting/automation skills (Python, Bash, or similar).

• Real impact, real scale:

  Your work will power thousands of concurrent real-time calls and mission-critical workflows.

• Ownership from day 1:

  Architect build deploy monitor; no heavy bureaucracy, just impact.

• Deep technical growth:

  Work across AWS (ECS/EKS, Lambda, S3, SQS/SNS, CloudWatch), CI/CD, Docker/Kubernetes, and security/compliance.

• Hard, meaningful problems:

  Low-latency real-time pipelines (WebSockets/audio), reliability at scale, cost/latency tuning, and robust observability.

• Challenging problems

  : Build secure, cost-efficient, low-latency pipelines and reliable infrastructure at scale.

• Fast feedback loop:

  Automated CI/CD, observability, frequent releases, and clear success metrics (latency, reliability, cost).

• Engineering culture:

  Code reviews, runbooks, postmortems, and a collaborative team that values clear communication.

• Mission + rigor:

  Build HIPAA/SOC2-aligned systems that balance speed, security, and reliability.

• Remote-friendly & collaborative:

  Pragmatic processes, respectful schedules, and a focus on outcomes over hours.

We re an equal-opportunity employer and value an inclusive, diverse team.