I Senior Ai-assisted Devops Engineer Improvado New York, New York, US

Artha

New York, Northern (NY, KY)

Hybrid

USD 120,000 - 180,000

Full time

2 days ago

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Benefits offered by this job

Remote-first

20 days PTO

Relocation support

Stock options

Dev reimbursement

Job summary

Improvado, an AI-powered marketing intelligence platform, is hiring a DevOps/SysOps engineer to own and scale our cloud infrastructure. You’ll manage AWS/Azure Kubernetes, design scalable infra, and drive reliability across data processing at scale.

You’ll implement Helm/Terraform, monitor with Prometheus and Grafana, and secure the stack with IAM, secrets management, and encryption. This remote-first role demands strong Linux skills and EST timezone availability.

Qualifications

5+ years in a DevOps/SRE role
Hands-on with AWS/Azure/GCP and Kubernetes at scale
Experience with Helm charts, Terraform, CI/CD pipelines, and monitoring stacks
Familiarity with Linux, scripting (bash/python) and security practices
Comfortable with high-velocity startup environments and EST timezone
Fluency in English

Responsibilities

Manage and evolve cloud infra on AWS/Azure (Kubernetes) for reliability
Design scalable, reliable infra for AI-driven analytics
Build and maintain Helm charts, Terraform, multi-environment setups
Own monitoring/alerting with Prometheus/Mimir, Grafana, CloudWatch
Security: IAM, secrets, vulnerability scanning, encryption
On-call rotation participation

Skills

Cloud infrastructure

Kubernetes

CI/CD

SRE principles

Linux

Tools

Helm charts

Terraform

GitHub CI

Prometheus

Grafana

ClickHouse

RabbitMQ

Temporal

AWS

Azure

Job description

Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running.

What you'll do

Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortemsDesign and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scaleBuild and maintain Helm charts, Terraform, and multi-environment setupsOwn monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)Administer and optimize storages: PostgreSQL, ClickHouse, RedisSupport message brokers: RabbitMQ, AWS SQS, TemporalDrive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryptionOwn network design, configuration — VPCs, subnets, firewalls, load balancers, VPNsMonitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiencyParticipate in on-call rotation

What we're looking for

5+ years in a DevOps/SRE role
Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)
AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation
Strong Linux fundamentals
Bash and/or Python scripting
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work
EST timezone availability
Fluency in English

Nice to have