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How much do junior javascript developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for junior javascript developer in Kansas is $79,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $77,600.00 per year, depending on experience, location, and employer.

What is a junior JavaScript developer?

A Junior JavaScript Developer is an entry-level programmer who specializes in using JavaScript to build web applications, websites, and front-end interfaces. They work under the guidance of senior developers to implement interactive features, troubleshoot issues, and improve functionality. Their responsibilities may include writing clean code, debugging, collaborating with designers, and learning new technologies. Typically, they are expected to have a basic understanding of JavaScript, HTML, CSS, and frameworks like React or Vue.js. This role is ideal for those starting their career in web development and looking to gain hands-on experience in a professional setting.

What are the typical daily responsibilities of a junior JavaScript developer?

As a Junior Javascript Developer, your day-to-day tasks often include writing and testing JavaScript code, fixing bugs, maintaining existing web applications, and collaborating on new features under the guidance of senior developers. You'll likely work closely with designers, backend developers, and QA testers to ensure seamless user experiences. Regularly attending team meetings, participating in code reviews, and updating documentation are also common. This collaborative and supportive environment is designed to help you develop your technical skills while contributing to real projects.

What are the key skills and qualifications needed to thrive as a junior JavaScript developer?

To thrive as a Junior Javascript Developer, you need a solid understanding of JavaScript fundamentals, HTML, CSS, and basic web development concepts, often supported by a relevant degree or coding bootcamp completion. Familiarity with tools such as version control systems (like Git), browser developer tools, and frameworks like React or Node.js is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you stand out in this position. These attributes are crucial for efficiently developing and maintaining web applications, collaborating with team members, and adapting to evolving project requirements.

What are the most commonly searched types of Javascript Developer jobs in Kansas?

The most popular types of Javascript Developer jobs in Kansas are:

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For Junior Javascript Developer jobs in Kansas, the most frequently searched job titles are:

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Junior Javascript Developer jobs near you
Infographic showing various Junior Javascript Developer job openings in Kansas as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, 1% Temporary, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $79,353 per year, or $38.2 per hour.

Senior/Staff Forward Deployment Engineer (Java & AI Integration, Gen AI) - Full Time Role

Overland Park, KS • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

$121K - $159K/yr

Full-time

Re-posted 16 days ago

Key responsibilities

  • Embed with internal teams and external customers to understand 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 business problems.

  • Partner with end users and stakeholders to run demos, gather requirements, troubleshoot live, and translate technical concepts into business value.

Job description

Role: Senior / Staff Forward Deployment Engineer
Location/s: Bellevue, WA / Overland Park, KS / Frisco, TX (Hybrid – 4 days a week onsite) - Travel: up to 25%
Job Type: Full Time

 
Notes from the client:
  • The role is part of the founding teamand requires strong technical expertise in Python, Golang, Java (mandatory), system design, and architecture, along with proven experience in AI integration, GenAI, AI agents, and LLMs.
  • The position is customer‑facing, requiring a technical engineer with excellent soft skills who can act as a mediator between business and technical teams, serving as a hands‑on communicator. The candidate must be able to start quickly.
  • LinkedIn should match the resume of the candidate.
Interview process:
4 rounds (Prescreening/ can share phone screening document) – Live Coding – Technical/Customer focused Interview – Customer Evaluation)
 
About the Role:
Engineering  |  Senior–Staff Individual Contributor  |  Founding Team
  • We are building client's 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, GCP, 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.