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Full Stack Engineer Jobs in Tulsa, OK (NOW HIRING)

360 Labs

MEAN Stack Developer

Tulsa, OK · On-site

Our MEAN Stack developer must have knowledge in all stages of software development. You'll be working alongside other project manager and developers, collaborating on the various layers of our ...

360 Labs

MEAN Stack Developer

Tulsa, OK

Our MEAN Stack developer must have knowledge in all stages of software development. You'll be working alongside other project manager and developers, collaborating on the various layers of our ...

Varsity Tutors

JavaScript Tutor

Tulsa, OK · Remote

$18 - $40/hr

Ability to explain callback functions, scope and hoisting, and the event loop while preparing students for web development careers and full-stack engineering coursework. * Conceptual Teaching ...

Pwc

AI Solutions Engineering Delivery Lead

Tulsa, OK

$93K - $123K/yr

... full-stack AI solutions. As a senior technical leader, you will leverage deep technical ... Data Science, Engineering, Mathematics, or related technical field - Minimum of 10 years of ...

Varsity Tutors

Web Development Tutor

Tulsa, OK · Remote

$18 - $40/hr

Ability to explain client-server architecture, MVC patterns, and authentication while preparing students for full-stack development roles and software engineering careers. * Conceptual Teaching ...

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Full Stack Engineer information

See Tulsa, OK salary details

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$174K

How much do full stack engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for full stack engineer in Tulsa, OK is $123,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $144,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full stack engineer?

To thrive as a Full Stack Engineer, you need proficiency in both front-end and back-end programming languages (such as JavaScript, HTML/CSS, Python, or Java), along with a solid understanding of web application architecture and databases. Familiarity with frameworks like React, Angular, Node.js, and tools such as Git, Docker, and CI/CD systems, as well as relevant certifications, are often required. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and manage complex projects. These skills are crucial for building, deploying, and maintaining robust, scalable applications that meet business needs.

How do full stack engineers typically collaborate with UX/UI designers and backend specialists on a project?

Full Stack Engineers frequently act as a bridge between UX/UI designers and backend specialists, ensuring seamless integration of front-end interfaces with server-side logic. They participate in cross-functional meetings, translate design requirements into functional features, and address technical feasibility from both ends. This collaboration often involves code reviews, regular communication to clarify requirements, and agile workflows to ensure that user experience and system performance are both prioritized throughout the development process.

What is the difference between Full Stack Engineer vs Front End Developer?

AspectFull Stack EngineerFront End Developer
Required SkillsProficiency in both front-end and back-end technologies, including HTML, CSS, JavaScript, server-side languages, and databases.Specializes in client-side technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
Work EnvironmentWorks on both server and client-side development, often handling entire project stacks.Focuses primarily on creating and optimizing user interfaces and user experience.
Common UsageUsed in full project development, especially in startups and small teams requiring versatile developers.Primarily employed in UI/UX design, front-end frameworks, and client-side optimization.

While both roles require strong web development skills, a Full Stack Engineer handles both front-end and back-end tasks, providing a comprehensive approach to web development. A Front End Developer specializes in creating engaging and responsive user interfaces, focusing on the client side of applications.

What is a full stack engineer?

A Full Stack Engineer is a software developer who is skilled in both front-end and back-end development. They are capable of designing, building, and maintaining the entire technology stack of a web application, including user interfaces, servers, databases, and APIs. Full Stack Engineers often work with multiple programming languages and frameworks, allowing them to handle a wide variety of technical tasks. Their versatility makes them valuable team members in many tech projects.

Is full stack engineering still in demand?

Full stack engineering remains in high demand due to the need for versatile developers skilled in both front-end and back-end technologies. Employers seek professionals proficient in frameworks like React, Node.js, and cloud platforms, with strong problem-solving and collaboration skills. The role often requires continuous learning to keep up with evolving tools and programming languages.
More about Full Stack Engineer jobs
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Full Stack Engineer jobs near you
Infographic showing various Full Stack Engineer job openings in Tulsa, OK as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $123,095 per year, or $59.2 per hour.

Full Stack Software Engineer - Insight Analytics

CCT

Tulsa, OK • On-site, Remote

Full-time

Re-posted yesterday

Job description

About the Role
We're hiring a full stack engineer to help us ship a next-generation analytics product for the gaming and hospitality industry. You'll join a small, senior team building a unified reporting and insights platform from the ground up, with a Beta release this summer and GA later in the year.
You'll work across our TypeScript stack with embeddable React components on the frontend and TypeScript Lambda backends on AWS to deliver dashboards, drill-throughs, and the operational machinery (CI/CD, observability, query performance, distribution) that turns features into a production-grade product. We use Cube.dev as our semantic layer and Embeddable for our customer-facing analytics surfaces.
The team is small and the surface area is wide. In the next twelve months, the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security. You should expect to own features end-to-end, from technical design through deploy and validation.
We build with AI-first development practices. Claude Code is a core part of how we work, not a side experiment, and we treat investing in our shared context library, prompts, and process as part of the job. To be clear: we're a spec-driven shop, not a vibe-coding shop. AI lets us move faster on real architecture and real engineering; it doesn't replace the thinking.
What you'll do
  • Design and ship full-stack features across our TypeScript frontend and TypeScript Lambda backends.
  • Model data and metrics in Cube.dev; build embedded analytics experiences using Embeddable components.
  • Own the production lifecycle of your features: CI/CD, performance, observability, and post-deploy validation.
  • Implement your own AWS infrastructure (Lambda, IAM, networking, storage) using Terraform; we have a dedicated AWS engineer who will review and partner with you on the harder pieces.
  • Work day-to-day in Claude Code and contribute to the team's AI context library, prompts, and process improvements.
  • Pair with our designer, data engineers, and dashboard configuration lead to land features that hold up against real customer data.

Requirements
  • 3-5 years of professional software engineering experience shipping production systems.
  • Strong working knowledge of TypeScript across frontend (React) and backend (Node/Lambda or similar).
  • Familiarity with Python. We don't write a ton of it in this role, but enough that you should be comfortable reading and contributing where it shows up.
  • Real experience using Claude Code or comparable agentic coding tools as part of your daily workflow.
  • Hands-on experience with AWS in a production environment.
Certified Banana Picker
Bonus
  • Experience building analytics or BI products (dashboards, drill-down, semantic modeling, query performance).
  • Familiarity with Cube.dev or comparable semantic layers (dbt + a serving layer, LookML, AtScale, etc.).
  • Experience with Embeddable or comparable embedded analytics frameworks.
  • Terraform or other IaC. You don't need to be the AWS expert on the team, but if you can spin up your own infrastructure and bring it for review, that's a strong plus.
  • Experience with serverless architectures and event-driven systems on AWS.
  • Background working with data pipelines, warehouses (Iceberg, Snowflake, Redshift, etc.), or pre-aggregation strategies.

How we work
  • Spec-driven development backed by AI tooling - we plan deliberately, then move fast.
  • Small team, high ownership, low ceremony. Engineers carry features end-to-end, weigh in on architecture and product decisions, and contribute to each other's reviews. Even as we grow, we expect that to stay true: more hands on the work, but the same expectation that you own what you ship.
  • AI tooling is part of how we build. We're investing in it deliberately and continuously, not as a novelty.
  • We care about getting the architecture right for the long haul, and we'd rather take a beat to plan than rebuild later.

About CCT
CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability.
Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems-delivering measurable ROI and empowering teams to work smarter at every level.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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