Job description

Must Have Technical/Functional Skills Front-End Engineering: Deep expertise in React, TypeScript, and JavaScript. Proven experience in Data Visualization (e.g., D3.js, Chart.js, Recharts, or similar libraries). Back-End Engineering: Strong proficiency in Node.js, Python, and C#. Ability to design and implement RESTful APIs and microservices. Cloud & DevOps: Hands-on experience with cloud platforms: AWS and GCP. Extensive knowledge of containerization and orchestration: Docker, Kubernetes, and Helm. Messaging & Streaming: Experience building asynchronous systems using Kafka and/or Apache Pulsar. Databases & Search: Proficiency in relational databases: PostgreSQL, SQL Server. Proficiency in NoSQL, caching, and search engines: MongoDB, Redis, and Elasticsearch. CI/CD: Experience configuring and maintaining deployment pipelines using GitLab CI, Jenkins, and Argo CD. AI & Innovation: Practical experience using AI-Assisted Development (e.g., GitHub Copilot, Cursor, Tabnine) and implementing LLM-integrated engineering workflows. Methodology & Certification: Active SAFe Agile Certification (e.g., SAFe Agilist, SAFe Practitioner) is required. Roles & Responsibilities Full-Stack Development: Design, develop, and maintain responsive web applications using modern front-end frameworks and versatile backend languages. Data Visualization: Create intuitive, interactive data visualizations and dashboards for complex datasets. Cloud & Infrastructure: Deploy, manage, and scale applications across AWS and GCP using containerization and orchestration tools. Event-Driven Architecture: Build and optimize high-throughput, real-time messaging and streaming systems. Database Management: Design data models and manage both relational and NoSQL databases to ensure high availability and performance. CI/CD & DevOps: Establish and maintain automated deployment pipelines for continuous integration and continuous delivery. AI-Augmented Engineering: Utilize AI coding assistants and integrate Large Language Models (LLMs) into engineering workflows to improve code quality and team velocity. Agile Leadership: Actively participate in SAFe® Agile ceremonies, collaborating closely with product owners, scrum masters, and cross-functional teams to deliver value iteratively. Salary Range: $100,000-$120,000 a year

Requirements

Must-haves

Must Have Technical/Functional Skills
Deep expertise in React, TypeScript, and JavaScript.
Proven experience in Data Visualization (e.g., D3.js, Chart.js, Recharts, or similar libraries).
Strong proficiency in Node.js, Python, and C#.
Ability to design and implement RESTful APIs and microservices.
Hands-on experience with cloud platforms: AWS and GCP.
Extensive knowledge of containerization and orchestration: Docker, Kubernetes, and Helm.
Experience building asynchronous systems using Kafka and/or Apache Pulsar.
Proficiency in relational databases: PostgreSQL, SQL Server.
Proficiency in NoSQL, caching, and search engines: MongoDB, Redis, and Elasticsearch.
Experience configuring and maintaining deployment pipelines using GitLab CI, Jenkins, and Argo CD.
Practical experience using AI-Assisted Development (e.g., GitHub Copilot, Cursor, Tabnine) and implementing LLM-integrated engineering workflows.
Active SAFe Agile Certification (e.g., SAFe Agilist, SAFe Practitioner) is required.
Roles & Responsibilities
Full-Stack Development: Design, develop, and maintain responsive web applications using modern front-end frameworks and versatile backend languages.
Data Visualization: Create intuitive, interactive data visualizations and dashboards for complex datasets.
Cloud & Infrastructure: Deploy, manage, and scale applications across AWS and GCP using containerization and orchestration tools.
Event-Driven Architecture: Build and optimize high-throughput, real-time messaging and streaming systems.
Database Management: Design data models and manage both relational and NoSQL databases to ensure high availability and performance.
CI/CD & DevOps: Establish and maintain automated deployment pipelines for continuous integration and continuous delivery.
AI-Augmented Engineering: Utilize AI coding assistants and integrate Large Language Models (LLMs) into engineering workflows to improve code quality and team velocity.
Agile Leadership: Actively participate in SAFe® Agile ceremonies, collaborating closely with product owners, scrum masters, and cross-functional teams to deliver value iteratively.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

reacttypescriptjavascriptnode.jspythonawsgcpdockerkubernetessqlci/cdaillmagilescrum

Platform: careers-page
Effort: medium