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Senior Software Engineer - Full Stack/BackendWorldscape Technology Inc. • United States
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Senior Software Engineer - Full Stack/Backend

Worldscape Technology Inc.
  • US
    United States
  • US
    United States
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Job Description
Job Description
Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking a Senior Full Stack Engineer to join our innovative engineering team. We are building next-generation AI decision-making capabilities and enabling agentic integration across our AI fabric. In this role, you will help design and implement core platform features that power end-to-end agentic solutions - from ingesting and transforming data to deploying, operating, and monitoring intelligent agents on our platform.
As a Senior Full Stack Engineer, you will tackle complex data integration challenges, build and evolve distributed real-time systems, and develop intuitive portal experiences. You will work hands-on with modern frameworks and advanced models to deliver a scalable, extensible, and reliable platform for authoring, hosting, and observing agentic workloads. This role partners closely with product management, studio teams, and fellow engineers to ensure strong integrations, high-quality execution, and predictable delivery for our customers.
This is an onsite role located in Redmond, WA. Responsibilities:
Design and implement backend services and APIs to power scalable, secure, and efficient agentic solutions. Develop and optimize data pipelines for ingestion, transformation, and real-time processing of large datasets. Architect distributed systems leveraging cloud platforms (Azure, AWS, or GCP) and containerization
(Docker/Kubernetes)
for high availability and fault tolerance. Integrate backend logic with front-end frameworks(React, Next.js, Typescript) to deliver seamless user experiences. Design and implement security best practices across authentication, authorization, and data protection layers. Collaborate with cross-functional teams including product management, design, and QA to align technical solutions with business goals. Conduct code reviews and enforce standards for performance, reliability, and security. Continuously research and integrate emerging technologies such as LLM orchestration, multi-agent systems, and knowledge graphs. Document architecture and technical decisions for transparency, scalability, and maintainability. Influence platform evolution by contributing to low-code/no-code capabilities and innovative AI-driven features. Fundamental understanding of the customer goal and end-to-end customer journey. Professional Qualifications:
Bachelor’s degree in Computer Science, AI/ML, Data Engineering, or related field. Experience building AI-driven applications or distributed systems. Strong proficiency in one or more modern programming languages (e.g., C#, Java, Python, or C++). Demonstrated passion for solving customer problems and delivering high-quality solutions. 4-10+ years of hands-on experience with data pipelines, cloud platforms (Azure, AWS, or GCP), and containerization
(Docker/Kubernetes). Familiarity with LLM frameworks, agent orchestration, and knowledge representation techniques. Proven ability to work in agile environments, managing ambiguity and delivering impactful outcomes. Preferred Qualifications:
Experience in building AI-driven applications or distributed systems. Hands-on experience developing full-stack solutions (React, Next.js, Typescript, Node.js) Experience with nsjail, Firecracker and MS Orleans preferred. Experience with vector databases, semantic search, and prompt engineering. Knowledge of reinforcement learning, planning algorithms, or multi-agent coordination. Familiarity with LLM frameworks, agent orchestration, and knowledge representation techniques. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards.
Why Worldscape?
There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day.
Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer:
- Competitive salary and meaningful equity
- Attractive benefits package
- Flexible time off policy
- Medical, Dental and Vision insurance
- HSA health insurance options
- 401k plan
- Basic and Voluntary Life Insurance
- Fast paced environment with flexibility and ownership
Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
  • United States

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