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Senior Deployment Engineer Jobs in Ohio (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH

$100K - $138K/yr

Participate in architectural and deployment discussions to ensure solutions are designed for ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

STR

Senior DevOps Engineer

Dayton, OH

$134K - $184K/yr

As a Senior DevOps Engineer you will establish and maintain a continuous integration / continuous deployment (CI/CD) infrastructure for real-time embedded systems software. You will work with ...

STR

Senior DevOps Engineer

Dayton, OH · On-site

$134K - $184K/yr

As a Senior DevOps Engineer you will establish and maintain a continuous integration / continuous deployment (CI/CD) infrastructure for real-time embedded systems software. You will work with ...

Booz Allen Hamilton

Software Engineer, Senior

Dayton, OH · On-site

$86K - $198K/yr

Seeking a Senior Software Engineer to lead andsupport Agile design, development, integration and deployment of a mission management softwarefor heterogeneous, proliferated satellite constellations.

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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 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 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 cities in Ohio are hiring for Senior Deployment Engineer jobs?

Cities in Ohio with the most Senior Deployment Engineer job openings:

Senior Deployment Engineer jobs near you

Senior AI/ML Lead Engineer

Altamira Technologies Corp.

Fairborn, OH

Full-time

Posted 9 days ago

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.

Altamira Technologies Corporation is in search of a Senior AI/ML Lead Engineer in Dayton, OH

As the Senior AI/ML Lead Engineer, you will spearhead the development and deployment of intelligent systems designed for real-world object tracking, automated monitoring, and intelligent triaging. You will bridge the gap between high-level research and production-grade software, coordinating complex data collections across multiple concurrent projects.
Acceptable candidates must be a US citizen and hold a current Secret clearance or higher.
Core Responsibilities
  • System Architecture:Design and implement scalable, high-performance infrastructures for real-timeobject detectionandtrackingusing frameworks like PyTorch or TensorFlow.
  • Intelligent Triaging:Develop automated triage systems that prioritize and categorize incoming sensor or project data, ensuring critical events are escalated instantly.
  • Collection Coordination:Architect multi-agent or agentic workflows to synchronize data collection efforts across various projects, optimizing resource allocation.
  • Technical Mentorship:Lead a high-performing team of engineers, conducting code reviews and setting engineering standards for MLOps and production pipelines.
  • Strategic Integration:Collaborate with project managers to translate complex client requirements into actionable AI/ML roadmaps.
Qualifications & Skills
  • Education:Bachelor's or above in Computer Science, AI, or a related quantitative field.
  • Experience: 7+ years of professional experience in machine learning, with at least 3 years in a leadership or "tech lead" capacity.
  • Computer Vision Expertise:Proven track record in developing computer vision models forobject tracking(e.g., CNNs, Transformers) and real-time video analytics.
  • Advanced Programming:Expert-level proficiency inPythonand familiarity with backend deployment tools (Docker, Kubernetes).
  • Data Management:Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections.
  • Communication:Ability to articulate complex AI concepts to non-technical stakeholders and executive leadership.
Preferred Qualifications
  • Experience withagentic AIframeworks and best practice for multiple separate or stacked models
  • Experience managing AI/ML models within development and production environments to include model versioning, source code management, and deployment architecture
  • Familiarity with federal or defense-sector compliance
Employment Type: Full Time

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