Jito.dev

We are looking for a skilled Senior UX/UI Designer with expertise in motion design and animation to create engaging casino game experiences. If you understand slot game mechanics, animation principles, and player psychology, we want to hear from you!

Responsibilities

• UX/UI Motion Design — Create high-quality animations and effects for an immersive player experience.
• Game Animation Development — Design animations that enhance slot game mechanics and player engagement.
• Responsive Design — Adapt animations for desktop and mobile platforms.
• Player Psychology & Engagement — Implement animations that maintain excitement without overstimulation.
• Technical Implementation — Integrate animations into HTML5 slot games and optimize performance.
• Compliance & Regulations — Ensure animations meet iGaming regulatory standards.

• Collaboration & Documentation — Communicate effectively with the team and maintain clear documentation.

   

Requirements

Must-Have:

• 3+ years of UX/UI design experience with a motion design focus.
• Strong knowledge of animation principles (Disney’s 12 Principles).
• Experience with Spine 2D, DragonBones for game animation.

• Proficiency in Adobe After Effects, Photoshop & Illustrator.

   

Nice-to-Have:

• Experience with particle effects & VFX for big-win moments.
• Understanding of slot game mechanics and UI clarity.

• Knowledge of HTML5 animation troubleshooting.

   

Why Join Us?

• Work on exciting iGaming projects with a talented team.
• Creative, innovation-driven environment.
• Competitive salary and remote-friendly setup.

If you’re passionate about motion design in gaming, apply now!

We are looking for a skilled Senior UX/UI Designer with expertise in motion design and animation to create engaging casino game experiences. If you understand slot game mechanics, animation principles, and player psychology, we want to hear from you!

Responsibilities

• UX/UI Motion Design — Create high-quality animations and effects for an immersive player experience.
• Game Animation Development — Design animations that enhance slot game mechanics and player engagement.
• Responsive Design — Adapt animations for desktop and mobile platforms.
• Player Psychology & Engagement — Implement animations that maintain excitement without overstimulation.
• Technical Implementation — Integrate animations into HTML5 slot games and optimize performance.
• Compliance & Regulations — Ensure animations meet iGaming regulatory standards.

• Collaboration & Documentation — Communicate effectively with the team and maintain clear documentation.

   

Requirements

Must-Have:

• 3+ years of UX/UI design experience with a motion design focus.
• Strong knowledge of animation principles (Disney’s 12 Principles).
• Experience with Spine 2D, DragonBones for game animation.

• Proficiency in Adobe After Effects, Photoshop & Illustrator.

   

Nice-to-Have:

• Experience with particle effects & VFX for big-win moments.
• Understanding of slot game mechanics and UI clarity.

• Knowledge of HTML5 animation troubleshooting.

   

Why Join Us?

• Work on exciting iGaming projects with a talented team.
• Creative, innovation-driven environment.
• Competitive salary and remote-friendly setup.

If you’re passionate about motion design in gaming, apply now!

Join our Core Team as a highly skilled Python Developer to build and scale our high-load Geospatial AI Data Platform. You will be the critical link, productionizing Data Science models
and transforming massive volumes of raw imagery into meaningful, structured insights that
power our client-facing product. If you're driven by complex, high-scale big data challenges, this is the role for you.

Key Responsibilities:
● Data Pipeline Development: Implement and optimize robust ETL data pipelines for
collecting, cleaning, transforming, and loading large volumes of geospatial data.
● API Development & Deployment: Design, build, and maintain high-speed, scalable
RESTful APIs (using frameworks like FastAPI/Powertools for Lambda).
● Model Integration & Productionization: Work closely with Data Scientists to containerize
and deploy models (e.g. roof age prediction) into our Geospatial AI Data Platform.
● Code Quality & Optimization: Write clean, efficient, testable, and reusable Python code.
Optimize data processing and platform latency to handle requests and queries at
massive scale and high volume.
● System Architecture: Contribute to the design and implementation of our Microservices
and Serverless architectures, ensuring high availability, security, scalability and
observability.
● Collaboration: Work within an Agile team alongside Data Scientists, DevOps, and
Product Managers to translate business requirements into technical solutions.

Required Qualifications:
● B.Sc. degree in Computer Science or a related technical field.
● Demonstrable professional experience as a Python Developer with a focus on data-
intensive backend systems (4+ years).
● Expert knowledge of Python 3, follow PEP8.
● Hands-on experience with C# / .NET for backend development (APIs or services in
production).
● Experience developing using OOP and SOLID principles.
● Proven experience designing and developing production-ready APIs using a modern
Python web framework such as FastAPI or Powertools for AWS Lambda.
● Experience with AWS services such as S3, SQS, EC2, API GW, Lambda, DynamoDB,
CloudFormation/SAM using boto3.
● Experience with Docker/Kubernetes.
● Experience with Linux, preferably Ubuntu.
● Experience with SQL Databases (e.g. PostgreSQL)
● Experience with version control (Git) and collaborative development workflows.
● Good communication skills in English

Preferred/Bonus Qualifications:
● Experience with geo-spatial libraries (e.g., Geopandas, GDAL, Shapely, Rasterio).
● Familiarity with model serving technologies such as NVIDIA Triton Inference Server.
● Experience with Workflow Management platforms such as Apache Airflow.
● Experience with on-prem servers.
● Knowledge of CI/CD pipelines (GitHub Actions) and DevOps best practices.

Join our Core Team as a highly skilled Python Developer to build and scale our high-load Geospatial AI Data Platform. You will be the critical link, productionizing Data Science models
and transforming massive volumes of raw imagery into meaningful, structured insights that
power our client-facing product. If you're driven by complex, high-scale big data challenges, this is the role for you.

Key Responsibilities:
● Data Pipeline Development: Implement and optimize robust ETL data pipelines for
collecting, cleaning, transforming, and loading large volumes of geospatial data.
● API Development & Deployment: Design, build, and maintain high-speed, scalable
RESTful APIs (using frameworks like FastAPI/Powertools for Lambda).
● Model Integration & Productionization: Work closely with Data Scientists to containerize
and deploy models (e.g. roof age prediction) into our Geospatial AI Data Platform.
● Code Quality & Optimization: Write clean, efficient, testable, and reusable Python code.
Optimize data processing and platform latency to handle requests and queries at
massive scale and high volume.
● System Architecture: Contribute to the design and implementation of our Microservices
and Serverless architectures, ensuring high availability, security, scalability and
observability.
● Collaboration: Work within an Agile team alongside Data Scientists, DevOps, and
Product Managers to translate business requirements into technical solutions.

Required Qualifications:
● B.Sc. degree in Computer Science or a related technical field.
● Demonstrable professional experience as a Python Developer with a focus on data-
intensive backend systems (4+ years).
● Expert knowledge of Python 3, follow PEP8.
● Hands-on experience with C# / .NET for backend development (APIs or services in
production).
● Experience developing using OOP and SOLID principles.
● Proven experience designing and developing production-ready APIs using a modern
Python web framework such as FastAPI or Powertools for AWS Lambda.
● Experience with AWS services such as S3, SQS, EC2, API GW, Lambda, DynamoDB,
CloudFormation/SAM using boto3.
● Experience with Docker/Kubernetes.
● Experience with Linux, preferably Ubuntu.
● Experience with SQL Databases (e.g. PostgreSQL)
● Experience with version control (Git) and collaborative development workflows.
● Good communication skills in English

Preferred/Bonus Qualifications:
● Experience with geo-spatial libraries (e.g., Geopandas, GDAL, Shapely, Rasterio).
● Familiarity with model serving technologies such as NVIDIA Triton Inference Server.
● Experience with Workflow Management platforms such as Apache Airflow.
● Experience with on-prem servers.
● Knowledge of CI/CD pipelines (GitHub Actions) and DevOps best practices.

We are seeking a highly skilled and motivated DevOps Engineer to join our Core Team. In this role, you will be a key player in bridging the gap between development and operations, ensuring our systems are scalable, resilient, and automated. You will manage a hybrid environment consisting of AWS Cloud, Digital Ocean services and on-premises servers, leveraging modern GitOps workflows to streamline deployment in Microservices and Serverless architectures.

Key Responsibilities:
- Hybrid Infrastructure Management: Design, implement, and maintain scalable infrastructure across AWS and on-premises data centers.
- Automation & IaC: Treat infrastructure as software by using Terraform or CloudFormation to automate resource provisioning and configuration.
- Container Orchestration: Manage and scale containerized applications using Kubernetes, utilizing Rancher for multi-cluster management and visibility.
- GitOps Delivery: Implement and maintain continuous delivery pipelines using ArgoCD to ensure the desired state of our clusters matches our Git repositories.
- CI/CD Pipeline Development: Design and optimize automated build and deployment workflows using GitHub Actions.
-  System Administration: Manage and tune Linux (Ubuntu) environments for performance, security, and reliability.
- Databases: manage database infrastructure, including replicas, backups, point-in-time recovery, monitor database performance and collaborate with developers to optimize queries and indexing strategies.

Required Qualifications:
1. Cloud & Core Infrastructure
- AWS Mastery: Proven experience with core AWS services (EC2, S3, SQS, CloudWatch, RDS, VPC, IAM).
-  Hybrid Experience: Hands-on experience managing and troubleshooting on-premises physical or virtualized servers.
- Linux Expertise: Deep knowledge of Linux administration, with a strong preference for Ubuntu.
2. Orchestration & Continuous Delivery
- Kubernetes & Rancher: Solid experience deploying and managing production-grade K8s clusters.
- ArgoCD & GitOps: Experience implementing GitOps patterns for automated, declarative application deployments.

- CI/CD: Proficiency with Git and GitHub Actions for automating testing and deployment cycles.
3. Automation & Development
- Infrastructure as Code (IaC): Advanced proficiency in Terraform, CloudFormation, or similar tools.

- Programming: Strong Python scripting skills for task automation, custom tooling, and interacting with APIs.
4. Modern Architecture
- Architectural Patterns: Deep understanding of Microservices and Serverless (e.g.,AWS Lambda) design principles.
5. Databases
- Relational DBs: Deep experience with PostgreSQL administration (vacuuming,indexing, replication, and backup strategies).
- NoSQL & Cloud Native: Proficiency in AWS DynamoDB, understanding GSIs, LSIs, and TTL configurations.

Preferred/Bonus Qualifications:
-Experience with Workflow Management platforms such as Apache Airflow.
- Experience with monitoring and observability stacks (Prometheus, Grafana, ELK).
- Strong communication skills and the ability to work effectively in an agile, collaborative environment