Architect (Full Stack/Cloud/Data Science/Machine Learning/Salesforce)

Job Description

We are seeking a skilled and motivated Jr/Sr Architects across different technologies to work with our global clients and startups. This is a remote position that requires a strong background in software development, data engineering, or data science, along with expertise in cloud technologies. The ideal candidate will have experience working with various technology stacks and be comfortable collaborating in a fast-paced environment.

Interview Selection Process

• 2-3 rounds of technical interview (30-60 mins)
• 1 Coding Challenge (30-60 mins)
• 1 System Design (30-60 mins)

If you are looking for freelance job to explore your skills, please do not apply.

We promote diversity, however we are inclined towards client skill expectations and timelines to close opportunties before deadline.

Responsibilities

• Design and Development: Develop scalable full stack applications and services using modern programming languages and frameworks.
• Cloud Solutions: Architect and deploy cloud-based solutions on AWS, Azure, or GCP, ensuring high availability and performance.
• Data Management: For Data Engineers/Data Scientists: Design data pipelines for ETL processes; analyze large datasets to derive actionable insights.
• AI/ML: Experience with Gen AI frameworks. tools. Agentic system development, ML models. MLOPs
• Collaboration: Work closely with cross-functional teams to gather requirements and translate them into technical specifications.
• Code Quality: Write clean, maintainable code while adhering to best practices and coding standards.
• Testing: Implement unit tests and integration tests to ensure software reliability.
• Documentation: Maintain comprehensive documentation for code, processes, and systems.
• Continuous Improvement: Stay updated with industry trends and emerging technologies; recommend improvements to enhance system performance.

Required Qualifications

• Experience: 4-12 years of professional experience in software development or data engineering/science roles.
• Cloud Proficiency: Hands-on experience with cloud platforms (AWS, Azure, GCP) including deployment and management of cloud resources.
• Technology Stack:

• Proficiency in programming languages such as JavaScript, Python, Java, Golang, Scala, .NET or C#.
• Experience with frameworks like React, PHP,Angular, Node.js (for Full Stack roles) or Django/Flask (for Backend roles).
• Familiarity with databases (SQL/NoSQL) and data processing tools (e.g., Apache Spark).
• Certifications: Relevant cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Data Engineer) are preferred.

Preferred Skills

• DevOps Practices: Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
• API Development: Experience designing RESTful APIs and integrating third-party services.
• Big Data Technologies: Familiarity with big data frameworks such as Hadoop or Spark (for Data Engineer/Data Scientist roles).
• Machine Learning: Understanding of machine learning algorithms and frameworks (for Data Scientist roles).

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Adaptability to changing priorities and new technologies.

Benefits

• Competitive salary based on experience and performance
• Flexible work hours with a fully remote setup
• Permenant offer if client is satisfied with your performance*