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Android Developer Ai Jobs in Burbank, CA (NOW HIRING)

Beyond keeping the lights on, you will proactively leverage AI-driven tooling to improve DevOps ... Own cross-platform mobile application build pipelines (iOS and Android) for both app stores

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AI Engineering: LLM APIs, retrieval-augmented generation, vector databases, agent frameworks * Mobile: iOS, Android * Hosting: AWS (EC2, RDS, S3, Lambda, etc.), Azure, containerized Linux deployments

AI-Augmented Quality Engineering Champion AI-assisted development and testing using tools such as ... Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web ...

Principal Software Engineer, Mobile

Glendale, CA · On-site +1

$143K - $191K/yr

... and developer productivity. You'll influence mobile strategy across multiple product teams and ... Design, build, and improve the critical systems powering ServiceTitan's iOS and Android apps.

Senior Software Engineer (Java) in Test

Burbank, CA · On-site

$117K - $152K/yr

AI-Augmented Quality Engineering Champion AI-assisted development and testing using tools such as ... Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google ...

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Android Developer Ai information

See Burbank, CA salary details

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How much do android developer ai jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for android developer ai in Burbank, CA is $65.39, according to ZipRecruiter salary data. Most workers in this role earn between $57.36 and $75.34 per hour, depending on experience, location, and employer.

What is the difference between Android Developer Ai vs Android Developer?

AspectAndroid Developer AiAndroid Developer
Required SkillsJava/Kotlin, AI/ML integration, APIs, Android SDKJava/Kotlin, Android SDK, UI/UX design
CertificationsAndroid Developer Certification, AI/ML coursesAndroid Developer Certification
Work EnvironmentMobile app development with AI featuresStandard Android app development
Industry UsageTech companies integrating AI into appsGeneral app development across industries

Android Developer Ai focuses on integrating artificial intelligence and machine learning into Android applications, requiring knowledge of AI/ML tools. In contrast, Android Developer primarily develops standard Android apps without specialized AI skills. Both roles often share similar certifications and work environments, but Android Developer Ai emphasizes AI integration skills for innovative app features.

What are popular job titles related to Android Developer Ai jobs in Burbank, CA?

For Android Developer Ai jobs in Burbank, CA, the most frequently searched job titles are:

What cities near Burbank, CA are hiring for Android Developer Ai jobs?

Cities near Burbank, CA with the most Android Developer Ai job openings:

Infographic showing various Android Developer Ai job openings in Burbank, CA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $136,016 per year, or $65.4 per hour.

Senior DevOps, Platform Engineer

Moon

Glendale, CA • On-site

$150 - $180/hr

Other

Re-posted 14 days ago


Job description

About Moon

An ambitious and independent stealth SaaS company incubated by Home Organizers, a market leader with decades of proven success in designing and delivering exceptional, innovative home organization solutions through its subsidiaries Closet World, Closets by Design, Brio Water Technology, and others. Backed by their deep industry experience and a commitment to be Home Organizers critical SaaS provider for its 6000+ employees, our team is building innovative solutions to solve universal problems that most businesses face — yet are not addressed by a single, unified tool.

Our mission is to transform the entrepreneurial experience and deliver operational excellence for businesses across the world through a unified platform supercharged with proprietary AI agents. We want to unleash the creativity of billions and inspire the world to dream big and build fast. We’re a rapidly growing team of forward-thinking and, most importantly, committed builders. We are driven by the opportunity to push boundaries, reimagine the foundations of human work, and shape tools that power the next generation of “business operations.” The way the world views and does business is changing, and we are committed to leading this change responsibly.

Role Overview

This is a dedicated platform ownership role. You will take full end-to-end responsibility for the DevOps and infrastructure layer across all products. You will be the single point of accountability for pipelines, environments, credentials, deployment reliability, financial cost governance, and compliance posture. Beyond keeping the lights on, you will proactively leverage AI-driven tooling to improve DevOps workflows and continuously raise the bar on what reliable infrastructure means.

About the role

You will own the complete infrastructure and DevOps layer for a growing SaaS company running across multi-cloud infrastructure across major cloud providers — partnering directly with the Lead Engineer and a distributed offshore engineering team. This is not a support role.

You are the primary point of accountability for pipeline reliability, credential hygiene, observability, cloud cost governance, and compliance posture. You also serve as the company’s infrastructure voice in financial and compliance conversations, owning the data that informs leadership decisions on cloud investment and risk.

What you’ll doCI/CD & Deployment
  • Own all CI/CD pipelines across every application — consistent, documented, and not dependent on tribal knowledge
  • Manage multi-cloud resource provisioning with Terraform or equivalent IaC tooling — version-controlled and fully reproducible
  • Own secrets, credentials, and access management across all environments using enterprise secrets management platforms
  • Set up repo creation, branching standards, and tooling for the distributed engineering team
  • Own cross-platform mobile application build pipelines (iOS and Android) for both app stores
  • Support the work, deployment, and maintenance of our active-active multi-cloud platform
Observability & Uptime (SLA: 99.99%)
  • Own SLA commitments for all production systems — 99.99% uptime target with documented contracts and breach escalation paths
  • Define and maintain on-call rotation, and incident severity matrix
  • Maintain and evolve runbooks for all critical failure scenarios — executable by anyone on the team, not just the author
  • Implement and operate the full observability stack: enterprise observability tooling, centralized log aggregation, real-time alerting, and synthetic monitoring for all customer-critical paths
  • Own customer-facing and internal system health dashboards — surfacing uptime, error rates, latency, and throughput in real time
Financial Operations & Cost Governance
  • Build and maintain FinOps dashboards surfacing cloud spend, resource utilization, and cost-per-environment breakdowns
  • Implement financial controls: budget alerts, tagging enforcement, reserved instance planning, and rightsizing across major cloud providers
  • Own the monthly cloud cost review process — flag anomalies, model savings scenarios, and present findings to leadership
  • Track and report FinOps KPIs: cloud cost as a percentage of revenue, waste percentage, and savings realized
Security & Compliance (SOC 2 / ISO 27001)
  • Own the infrastructure contribution to SOC 2 Type II and ISO 27001 — evidence collection, control mapping, and audit readiness at all times
  • Conduct regular access reviews and enforce least-privilege IAM across all cloud environments
  • Work directly with the compliance team to respond to auditor requests, close findings, and maintain continuous compliance posture
  • Implement and monitor infrastructure security controls: network segmentation, encryption at rest and in transit, vulnerability scanning, and drift detection
AI-Driven Process Improvements
  • Identify DevOps workflows where AI tooling can drive measurable efficiency gains — pipeline generation, intelligent incident detection, and automated runbook execution
  • Evaluate and pilot AI-assisted tools for infrastructure: anomaly detection on metrics streams, LLM-assisted root cause analysis, and AI-generated IaC scaffolding
  • Document and share findings with the engineering team — serve as the infrastructure voice in the company’s AI-first engineering culture
Qualifications
  • Hands-on experience with major cloud providers across multi-cloud environments — provisioning, networking, IAM, and cost management
  • Terraform or equivalent IaC tooling — you write it, maintain it, and own it
  • CI/CD pipeline design and ownership using modern CI/CD platforms — you design it, maintain it, and own it
  • Confident with .NET / C# application deployments
  • Secrets and credential management at scale using enterprise secrets management platforms
  • Multi-app, multi-environment deployment pipelines with consistent standards
  • Mobile build pipeline ownership for cross-platform mobile applications (iOS and Android), including app store deployment automation
  • Production observability engineering: APM tooling, log aggregation, alerting pipelines, and synthetic monitoring
  • SLA ownership experience — on-call processes, incident management, and runbook authorship
  • Demonstrated experience with FinOps practices: cloud cost dashboards, tagging, rightsizing, and budget governance
  • Familiarity with SOC 2 or ISO 27001 control environments — evidence collection, access reviews, and audit support
  • Comfortable working directly with a distributed offshore engineering team
  • Hands-on experience designing or operating active-active, multi-cloud production environments — this is a core platform requirement, not a stretch goal
  • Proficiency in Go for infrastructure tooling, automation, and custom operators/controllers
  • Strong Linux shell scripting (bash/sh) for automation, system administration, and pipeline scripting
Nice to have
  • Exposure to AI-assisted DevOps tooling — anomaly detection, LLM-assisted incident response, or AI-generated IaC
  • SaaS product background, ideally in a multi-tenant environment
  • Experience with FinOps tooling: Azure and AWS Cost management features
  • AWS Certified DevOps Engineer – Professional, Microsoft Certified: DevOps Engineer Expert, and Certified Kubernetes Administrator (CKA)

The pay range for this role is: 150,000 - 180,000 USD per year(Moon HQ)

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