Job Description:
Experience Required: 9+ years in software development, with 3+ years in solution architecture
Job Type: Full-Time
Job Summary:
We are looking for an experienced Solution Architect specializing in Node.js to design and
oversee end-to-end software solutions that align with business goals and technical requirements.
This role involves working closely with clients and internal stakeholders, including Product
Managers, Business Analysts, UI/UX Designers, and development teams, to deliver scalable,
reliable, and secure solutions. The ideal candidate has deep expertise in Node.js and a strong
understanding of designing architecture that balances function and scalability, as well as
experience guiding cross-functional teams to successful project completion.
Responsibilities
1. Solution Architecture Design
o Develop high-level and detailed architectural designs for complex business
requirements, emphasizing scalability, security, and alignment with Node.js-
based projects.
o Document architecture diagrams, data flows, and technical specifications for
system integrations, APIs, and data management.
2. Requirements Analysis and Feasibility Assessment
o Collaborate with stakeholders to gather requirements, assess feasibility, and
translate business objectives into efficient technical solutions.
3. Technology Selection and Strategy
o Evaluate and recommend suitable technology stacks with a focus on Node.js,
JavaScript/TypeScript frameworks, and associated tools, ensuring scalability and
alignment with organizational strategies.
o Stay updated on the latest in Node.js and related technologies to incorporate
innovative solutions.
4. Cross-Functional Collaboration
o Serve as a technical advisor for stakeholders and development teams, ensuring
architectural decisions are clear and align with technical direction.
o Collaborate with UI/UX Designers, Product Managers, and development leads to
create solutions that are functional and user-friendly.
5. System Integration and API Management
o Design and manage integrations with third-party systems and APIs, facilitating
secure and seamless data flow within a Node.js context.
6. Performance, Security, and Scalability Optimization
o Architect Node.js solutions with a strong focus on high availability, scalability, and
security, conducting periodic reviews to optimize performance.
o Ensure compliance with security standards and establish plans to safeguard data
integrity and system resilience.
7. Guiding Development Teams
o Provide technical leadership to development teams, supporting them with
troubleshooting, design validation, and ensuring the architecture is implemented
correctly.
o Review code and designs to maintain alignment with architectural standards and
quality guidelines.
8. Documentation and Best Practices
o Maintain architectural documentation, coding standards, and best practices
specific to Node.js to ensure maintainability and consistency across projects.
o Establish and enforce guidelines for efficient coding and configuration
management.
9. Continuous Improvement and Innovation
o Identify process improvement opportunities and lead technical reviews to foster
continuous improvement in solution architecture.
Qualifications
? Experience: 9+ years of software development experience, with 3+ years in a Solution
Architect or similar role, specifically within Node.js environments.
? Technical Expertise: In-depth understanding of software architecture patterns (e.g.,
microservices, serverless), system integration, and best practices for performance,
security, and scalability, particularly with Node.js.
? Technical Stack Proficiency:
o Node.js: Deep expertise in Node.js, JavaScript/TypeScript, and related
frameworks (e.g., Express, NestJS).
o APIs: Experience in designing and managing RESTful and GraphQL APIs,
including authentication and authorization mechanisms like JWT, OAuth2.
o Databases: Proficient with both SQL (PostgreSQL, MySQL) and NoSQL
(MongoDB, Redis) databases.
o DevOps & CI/CD: Familiarity with CI/CD tools like Jenkins, GitLab CI, GitHub
Actions, and containerization/orchestration tools such as Docker and
Kubernetes.
o Cloud Services: Experience with cloud platforms (AWS, Azure, GCP) and
serverless functions (AWS Lambda, Azure Functions).
o Caching and Messaging Queues: Expertise with caching (Redis, Memcached)
and message queues (RabbitMQ, Kafka) for Node.js.
? Architecture Tools: Proficient in architecture modeling and documentation software
(e.g., UML, Visio).
? Soft Skills: Strong communication and interpersonal skills to bridge technical and non-
technical teams, as well as excellent collaboration and project management skills.
? Certifications (Preferred): TOGAF, or Node.js and cloud platform certifications (AWS
Solutions Architect, Azure Solutions Architect) are a plus.
Data Science Skills
1. Programming for Data Science
? Python (alongside Java) for data science and machine learning.
? Jupyter Notebooks for data analysis and prototyping.
2. Machine Learning Libraries
? Scikit-Learn for traditional machine learning algorithms.
? TensorFlow and Keras for deep learning.
? Apache Spark MLlib for large-scale machine learning on big data.
3. Data Processing and Analysis
? Pandas and NumPy for data manipulation and numerical computations.
? Apache Spark or Flink for distributed data processing.
? SQL for data querying and management.
4. Big Data Technologies
? Apache Hadoop ecosystem (e.g., HDFS, Hive, HBase) for big data storage and
processing.
? Apache Spark for big data processing and analytics.
? Data pipeline orchestration tools like Apache Airflow.
5. Data Visualization
? Visualization libraries in Python such as Matplotlib, Seaborn, and Plotly.
? Java-based visualization tools are less common, but integration with data
visualization tools like Tableau or Power BI can be achieved.
6. Statistical and Data Analysis Skills
? Understanding of statistics, probability, and hypothesis testing.
? Experience with A/B testing, time-series analysis, and anomaly detection.
7. Natural Language Processing (NLP)
? NLTK, SpaCy, BERT, or GPT models for text processing and NLP tasks.
8. Model Deployment and MLOps
? TensorFlow Serving and ONNX for model deployment.
? Kubeflow or MLflow for MLOps workflows.
? AWS SageMaker, Google AI Platform, or Azure ML for cloud-based machine
learning model deployment and management.
Other Valuable Skills
1. Data Engineering
? ETL tools and data pipelines.
? Data Lake architecture using AWS S3, Azure Data Lake, or GCP Data Lake.
2. AI and Advanced Machine Learning
? Advanced algorithms (e.g., ensemble models, reinforcement learning).
? Optimization algorithms for performance tuning.
3. Soft Skills for Solution Architecture
? Communication and collaboration skills for working with cross-functional teams.
? Project management and Agile experience.
? Critical thinking for strategic planning and problem-solving.
Benefits
? Competitive salary and performance-based bonuses
? Professional development opportunities and certification reimbursement
? Collaborative, growth-focused work environment
