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Live In Octopus Deploy Jobs in Chicago, IL (NOW HIRING)

Grants Accountant

Chicago, IL · On-site

$62K - $65K/yr

Since 1969, BUILD has worked to save lives and mentor young people who live in the city's most ... deploying best practices. You'll work closely with the Grants Monitor and Program Directors with ...

Grants Accountant

Chicago, IL · On-site

$62K - $65K/yr

Since 1969, BUILD has worked to save lives and mentor young people who live in the city's most ... deploying best practices. You'll work closely with the Grants Monitor and Program Directors with ...

Grants Accountant

Chicago, IL · On-site

$62K - $65K/yr

Since 1969, BUILD has worked to save lives and mentor young people who live in the city's most ... deploying best practices. You'll work closely with the Grants Monitor and Program Directors with ...

Forward Deployed Engineer

Chicago, IL · On-site

$100K - $200K/yr

... build, and deploy custom integrations that bring our AI agents to life in their day-to-day ... go-live success * Coach customers - document workflows, train users, and create playbooks that ...

Forward Deployed Engineer

Chicago, IL · On-site

$120K - $160K/yr

In response to this growth, Coinflow announced a $25M Series A in October 2025-led by Pantera ... Debug live integration issues across APIs, SDKs, and payment flows * Ensure every deployment is ...

Business System Manager

Wheaton, IL · On-site +1

$65 - $100K/hr

This position is remote and you must live in one of the states we currently operate in. CO, ID, AZ ... Some travel to Med Spa locations to observe and/or deploy projects. Participation in vendor ...

Showing results 41-60

Live In Octopus Deploy information

See Chicago, IL salary details

$62.8K

$112.1K

$180.8K

How much do live in octopus deploy jobs pay per year?

As of Aug 8, 2026, the average yearly pay for live in octopus deploy in Chicago, IL is $112,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $130,300.00 per year, depending on experience, location, and employer.

What is the difference between Live In Octopus Deploy vs DevOps Engineer?

AspectLive In Octopus DeployDevOps Engineer
CertificationsOctopus Deploy certifications, DevOps tools knowledgeCloud certifications, scripting, automation tools
Work EnvironmentOn-site or remote, focused on deployment automationOn-site, remote, or hybrid, involved in infrastructure and CI/CD
Industry UsageIT, software deployment, automationIT, software development, infrastructure management

Live In Octopus Deploy professionals focus on deployment automation using Octopus Deploy tools, often working in IT or software companies. DevOps Engineers have a broader role involving infrastructure, automation, and continuous integration/delivery across various tools and platforms. While both roles require automation skills, Live In Octopus Deploy specialists concentrate on deployment processes specifically with Octopus Deploy, whereas DevOps Engineers handle a wider range of automation and infrastructure tasks.

What are the most commonly searched types of Octopus Deploy jobs in Chicago, IL? The most popular types of Octopus Deploy jobs in Chicago, IL are:
What job categories do people searching Live In Octopus Deploy jobs in Chicago, IL look for? The top searched job categories for Live In Octopus Deploy jobs in Chicago, IL are:

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

Chicago, IL • Remote

Full-time

Posted 24 days ago


Job description

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Agentic Design & Implementation
● Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.


AI on Data Strategy
● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
● Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".


Operational Excellence (Soft Skills)
● Active Participation: Show up promptly for all internal and client-facing meetings.
● Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
● Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
● Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
● Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
● Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.