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Devops engineer • tallahassee fl
- Promoted
Manager, GenAI Engineer
DeloitteTallahassee, FL, United States- Promoted
Network Engineer
Robert Half InternationalTallahassee, FL, United StatesTest Automation Engineer
Think Tank, Inc.Tallahassee, FL, USA- Promoted
Chief Engineer
AlscoTallahassee, FL, US- Promoted
Senior Highway Engineer
Ardurra Group, Inc.Tallahassee, FL, United States- Promoted
Senior Software Engineer
ILAB LLCTallahassee, FL, United States- Promoted
Senior Geotechnical Engineer
Geethanjali College of Engineering and TechnologyTallahassee, FL, United States- Promoted
Field Service Engineer
ITWTallahassee, FL, United States- Promoted
Senior.NET Developer (Azure DevOps & Healthcare IT)
Apex InformaticsTallahassee, FL, United States- Promoted
Sr Project Engineer
JobotTallahassee, FL, United StatesTelecommunications Engineer
Connective Business SolutionTallahassee, FL, US- Promoted
Automation Engineer
Jones Lang LaSalle IncorporatedTallahassee, FL, United States- Promoted
Software Engineer
Danfoss Commercial Compressors LtdTallahassee, FL, United States- Promoted
Senior Project Engineer
AtkinsRéalisTallahassee, FL, United States- Promoted
Senior ML Engineer, Ad Performance
Launch PotatoTallahassee, FL, United States- Promoted
Fire Protection Engineer
EXP.comTallahassee, FL, United States- Promoted
- New!
Laboratory Application Testing Engineer
DanfossTallahassee, Florida, United StatesThe average salary range is between $ 115,000 and $ 164,225 year , with the average salary hovering around $ 125,000 year .
- clinic director (from $ 69,375 to $ 250,000 year)
- embedded software engineer (from $ 170,350 to $ 241,000 year)
- embedded engineer (from $ 167,900 to $ 235,300 year)
- consulting (from $ 107,150 to $ 210,800 year)
- software architect (from $ 133,750 to $ 206,692 year)
- technical engineer (from $ 83,375 to $ 205,000 year)
- machine learning engineer (from $ 132,500 to $ 204,700 year)
- machine learning (from $ 114,750 to $ 204,100 year)
- front end engineer (from $ 125,000 to $ 203,063 year)
- research engineer (from $ 108,100 to $ 201,300 year)
- Billings, MT (from $ 120,850 to $ 208,114 year)
- Beaumont, TX (from $ 141,375 to $ 205,592 year)
- Chula Vista, CA (from $ 135,000 to $ 195,000 year)
- Warren, MI (from $ 100,880 to $ 193,800 year)
- Santa Ana, CA (from $ 130,000 to $ 193,725 year)
- Santa Maria, CA (from $ 130,000 to $ 193,710 year)
- Santa Clarita, CA (from $ 130,000 to $ 193,643 year)
- Santa Rosa, CA (from $ 130,000 to $ 193,314 year)
- Joliet, IL (from $ 162,513 to $ 192,208 year)
- Palm Bay, FL (from $ 128,688 to $ 190,044 year)
The average salary range is between $ 109,997 and $ 165,000 year , with the average salary hovering around $ 129,990 year .
Related searches
Manager, GenAI Engineer
DeloitteTallahassee, FL, United States- Full-time
Role Overview : As a Manager, GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.
Recruiting for this role ends on September 30, 2025.
Key Responsibilities :
Outcome-Driven Accountability : Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
Technical Leadership and Advocacy : Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.
Engineering Craftsmanship : Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI / ML / GenAI where possible / appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
Customer-Centric Engineering : Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and Iterative Delivery : Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
Cross-Functional Collaboration and Integration : Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency : Possess deep expertise in modern software engineering practices and principles, including AI / ML / GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.
Domain Expertise : Quickly acquire domain-specific knowledge relevant to the business or product. Translate business / user needs, architectures, and UX / UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
Effective Communication and Influence : Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation : Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value / outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
Key Qualifications :
- A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.
- Excellent software engineering foundation with deep understanding of OOP / OOD, sequence / activity / state / ER / DFD diagrams, data-structure, algorithms, code instrumentations, etc.
- 8+ years of experience with AI / ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.
- Proven experience in : Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.
- Strong understanding and experience in managing big data of various forms to generate insights and create intelligence.
- Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL / NoSQL.
- Proven experience with cloud-native engineering, using FaaS / PaaS / micro-services on cloud hyper-scalers like Azure, AWS, and GCP.
- Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
- Ability to travel up to 25%
- Limited Sponsorship may be available
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,600 to $255,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation : https : / / www2.deloitte.com / us / en / pages / careers / articles / join-deloitte-assistance-for-disabled-applicants.html
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