Senior Software Engineer
- Category: Software Developer Jobs
- Location: Washington, Washington, D.C.
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 18K to 28K
- Published on: 2025/09/20
About the Role
As a Senior Software Engineer at MacroSys, you will play a pivotal role in shaping the future of our software applications.
You will design, modify, develop, and implement software programming applications, focusing on both new developments and enhancements to our existing, robust systems. This role requires a deep understanding of the latest technologies and a commitment to delivering high-quality solutions that meet our clients' needs.
Key Responsibilities
Feasibility Studies & Estimations: Collaborate with system analysts, developers, and network engineers to conduct feasibility studies for potential projects.
Requirements Analysis: Work closely with business analysts to analyze user needs and software requirements. Partner with project managers to develop realistic project plans that adhere to constrained budgets and timelines.
Software Development: Develop and implement features and functionalities based on customer requirements for web-based applications using a state-of-the-art approach.
Desired Capabilities
Front-End Development
Proficient in JavaScript and TypeScript.
Experience with frameworks like React, Angular, or Vue.js.
Skilled in using styling tools like Bootstrap, Tailwind CSS, or d3.
Knowledge of accessibility standards (508/WCAG compliance).
Familiarity with unit and integration testing frameworks like Jest, Mocha, Cypress, and Selenium.
Back-End Development
Strong background in Java or C# with frameworks like Spring Boot, Spring MVC, .NET, and ASP.NET.
Expertise in API development, including REST and GraphQL.
Proficient in database management systems, including SQL, PostgreSQL, Oracle, SQL Server, and Redis.
DevOps
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Knowledge of containerization tools like Docker and Kubernetes.
Proficient in CI/CD tools like Jenkins.
Artificial Intelligence/Machine Learning
Familiarity with Python, LLM basics, and APIs.
Understanding of embedding techniques, vector databases, and tools like Langchain, RAG, ElasticSearch/Solr.
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