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Senior Deployment Engineer Jobs in Georgia (NOW HIRING)

The Deployment & Release Manager is responsible for ensuring that AeroVect's Autonomous Ground ... Partner with Engineering and Safety & Systems to verify that new software releases meet required ...

DevOps Engineer

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

Atlanta, GA Act as a "deployment engineer" and perform the customer deployment with required skill ... Senior-level system administration experience, including troubleshooting, support, mentorship ...

Senior DevOps Engineer

Atlanta, GA ยท On-site +1

$125K - $160K/yr

... Engineer Job Type: Full-Time Industry: Healthcare Experience Level: Senior (5+ years) Job Summary ... Experience with zero-downtime deployments , blue-green deployments, and canary rollouts.

Senior DevOps Engineer

Atlanta, GA ยท On-site

$125K - $160K/yr

... Engineer Job Type: Full-Time Industry: Healthcare Experience Level: Senior (5+ years) Job Summary ... Experience with zero-downtime deployments , blue-green deployments, and canary rollouts. Employment ...

Senior DevOps Engineer

Roswell, GA ยท On-site +1

$119K - $153K/yr

Monday - Friday, standard business hours with flexibility to support deployments, maintenance ... Position Summary The Senior DevOps Engineer is responsible for designing, maintaining, and ...

Senior Software Engineer

Warner Robins, GA ยท On-site

$111K - $147K/yr

The Senior Software Engineer will participate in complete embedded software development and Windows ... Design and implement MS Windows desktop software from requirements to deployment * Review code and ...

Sr. Platform Engineer

Riverdale, GA ยท On-site

$123K - $154K/yr

We're looking for a Senior Platform Engineer who is excited to build at the intersection of ... Support deployment and operation of AI/ML services (model serving, inference APIs, embedding ...

Senior DevOps Engineer

Kennesaw, GA

$120K - $154K/yr

As a Senior DevOps Engin eer , you will be a key technical contributor responsible for designing ... deployment across environments. In this role, you will focus on handson engineering excellence ...

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Senior Deployment Engineer information

What does a senior deployment engineer do?

A Senior Deployment Engineer is responsible for overseeing and executing the deployment of software applications, systems, or updates into production environments. They collaborate with development, QA, and operations teams to ensure smooth and efficient releases, often automating deployment processes and troubleshooting issues that arise. Senior Deployment Engineers also create and maintain deployment documentation, implement best practices for continuous integration and deployment (CI/CD), and may mentor junior team members. Their role is crucial for minimizing downtime and ensuring high-quality software delivery.

What are some common challenges faced by senior deployment engineers during large-scale software rollouts?

Senior Deployment Engineers often encounter challenges such as coordinating across multiple teams to ensure seamless integration, managing unexpected issues that arise during the rollout, and ensuring minimal downtime for end users. They also need to handle complex infrastructure environments and adapt deployment strategies to suit different systems and technologies. Strong communication skills and proactive planning are essential to navigate these challenges effectively.

What are the key skills and qualifications needed to thrive as a senior deployment engineer?

To thrive as a Senior Deployment Engineer, you need expertise in software deployment processes, scripting languages (such as Python or Bash), and a strong understanding of CI/CD pipelines, typically supported by a degree in computer science or related experience. Familiarity with deployment automation tools (like Jenkins, Ansible, or Kubernetes), cloud platforms (AWS, Azure), and infrastructure-as-code systems is crucial. Strong problem-solving abilities, attention to detail, and effective communication help you manage complex deployments and collaborate across teams. These skills ensure reliable, scalable, and secure delivery of applications, minimizing downtime and supporting business goals.
What are the most commonly searched types of Deployment Engineer jobs in Georgia? The most popular types of Deployment Engineer jobs in Georgia are:

Senior Forward Deployment Engineer only W2

INFT Solutions inc

Atlanta, GA โ€ข On-site

$100K - $138K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Title : Senior Forward Deployment Engineer only W2
Hybrid in any one of the following locations- Bellevue, WA , Overland Park, KS, Frisco, TX, Atlanta, GA , Herndon, VA , Denver, CO


Primary Skill set : Deployment, Embedding, LLM, Agentic AI, Automation, Production, Python, Data pipelines - Snowflake/Databricks

About the Role

Client is building founding Forward Deployment Engineering team, and we're looking for seasoned engineers to set the bar. As a Senior/Staff FDE, you sit at the intersection of engineering and the customer. You embed directly with internal business teams and external partners to take powerful platforms AI/GenAI tools, data products, and custom integrations and turn them into working solutions that deliver real outcomes. You are part builder, part problem-solver, and part trusted advisor: writing production code one day, mapping a messy real-world workflow the next, and advising senior stakeholders on strategy by the end of the week.

This is a high-impact role for an experienced engineer who has done the work before, thrives in ambiguity, and operates with little oversight. As one of the first FDEs, you won't just deploy solutions you'll define how this team works: the playbooks, the standards, the tooling, and the bar for everyone who follows. You'll also mentor more junior engineers as the team scales.

What You'll Do

  • Embed with internal teams and external customers to understand their workflows, pain points, and goals then design and deploy solutions that fit.
  • Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
  • Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
  • Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
  • Partner with end users and stakeholders running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
  • Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
  • Monitor and improve solutions for reliability, performance, and adoption after launch you own outcomes, not just deliverables.
  • Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.

What You'll Bring

  • Experience: 8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.
  • Technical depth: Deep, hands-on programming expertise (e.g., Python, JavaScript/TypeScript, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.
  • Platform fluency: Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows). You bring real breadth and adapt quickly to the right tool for the problem.
  • Customer-facing track record: A track record of customer-facing or forward-deployed work you've shipped solutions directly with end users, navigated enterprise complexity, and earned the trust of senior stakeholders.
  • Leadership: You've led projects, set technical direction, and raised the bar for those around you formally or informally.
  • Communication: Exceptional written and verbal communication; you translate fluidly between deep technical detail and executive-level business value.
  • Bias for action: You ship, learn, and iterate quickly at a high quality bar, and you bring order to ambiguous, fast-moving situations.

Nice to Have

  • Experience deploying AI/ML or LLM-based solutions in an enterprise setting.
  • Cloud experience (AWS, Google Cloud Platform, or Azure) and familiarity with CI/CD and containerization.
  • Experience as a founding or early member of a new team or function.
  • Telecommunications or large-scale enterprise data domain knowledge.