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Senior Remote Full Stack Java Developer Jobs in Tulsa, OK

TEKsystems

VISION Developer (100% Remote)

Tulsa, OK · Remote

$88/hr

VISION Developer / Global Plus Reporting Specialist Location: Tulsa, OK -- 100% Remote Duration: 6 ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

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 ...

DataAnnotation

SDLC Engineer - AI Trainer

Tulsa, OK · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Broken Arrow, OK · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Tulsa, OK · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Senior Remote Full Stack Java Developer information

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How much do senior remote full stack java developer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for senior remote full stack java developer in Tulsa, OK is $53.05, according to ZipRecruiter salary data. Most workers in this role earn between $46.11 and $59.52 per hour, depending on experience, location, and employer.

What is the difference between Senior Remote Full Stack Java Developer vs Backend Java Developer?

AspectSenior Remote Full Stack Java DeveloperBackend Java Developer
Required CredentialsBachelor's in CS, Java certifications, experience in full stackBachelor's in CS, Java certifications, focus on backend technologies
Work EnvironmentRemote, collaborative, cross-functional teamsRemote or on-site, backend-focused teams
Industry UsageTech, finance, e-commerce, startupsTech, finance, enterprise software
Search & Comparison IntentLooking for full stack roles with Java expertiseFocusing on backend Java development roles

The Senior Remote Full Stack Java Developer role involves working on both frontend and backend components, requiring a broader skill set. In contrast, a Backend Java Developer specializes primarily in server-side development. Both roles often require similar credentials and are used across various industries, but the full stack position demands additional frontend knowledge and responsibilities.

What are popular job titles related to Senior Remote Full Stack Java Developer jobs in Tulsa, OK? For Senior Remote Full Stack Java Developer jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Senior Remote Full Stack Java Developer jobs in Tulsa, OK look for? The top searched job categories for Senior Remote Full Stack Java Developer jobs in Tulsa, OK are:
Senior Remote Full Stack Java Developer jobs near you
Full Stack Software Engineer - Insight Analytics

Full Stack Software Engineer - Insight Analytics

CCT

Tulsa, OK • Remote

Full-time

Re-posted 3 days ago

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.