Custom Software Engineer

Job Description

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Java Full Stack Development
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

AI POWERED TECH TALENT
Position Title: Full Stack Enterprise Architect
Overview:
We are seeking a seasoned Full Stack Enterprise Architect with deep expertise in designing and implementing application-heavy, multi-cloud enterprise solutions. The ideal candidate will have a strong background in applications, infrastructure and integration, with hands-on experience in Java and/or .NET, and Python, as well as exposure to modern front-end technologies like React or Angular. A solid understanding of AI and its integration into enterprise systems is essential. This role will drive the architecture of scalable, secure, and innovative solutions to support business objectives across multiple cloud platforms. AI Powered Tech Talent

Key Responsibilities: Solution Architecture: Design end-to-end, application-heavy enterprise architectures that integrate infrastructure, applications, data and platforms across multi-cloud environments (e.g., AWS, Azure, Google Cloud).
Application Development Leadership: Lead the design and implementation of robust, scalable applications with a focus on full-stack development, ensuring alignment with business goals.
Integration Strategy: Architect seamless integrations between systems, applications, and third-party services using APIs, microservices, and event-driven architectures.
Multi-Cloud Strategy: Develop and implement strategies for deploying and managing applications across multiple cloud platforms, ensuring portability, scalability, and cost optimization.
Technology Leadership: Provide technical guidance on Java, .NET, and Python-based backend systems, and modern front-end frameworks like React or Angular.
AI Adoption: Incorporate GenAI/Agentic AI capabilities into enterprise applications, leveraging frameworks and tools to enhance productivity & functionality (e.g., predictive analytics, automation).
Infrastructure Design: Collaborate with infrastructure teams to design cloud-native solutions, including containerization (Docker, Kubernetes), CI/CD pipelines, and IaC (Terraform, CloudFormation).
Performance & Security: Ensure solutions are optimized for performance, scalability, and security, adhering to industry standards and best practices.
Stakeholder Collaboration: Work closely with product managers, developers, DevOps, and business stakeholders to translate requirements into technical solutions.
Innovation & Trends: Stay updated on emerging technologies, including AI advancements, cloud trends, and full-stack development practices, to drive continuous improvement.
Qualifications & Skills: Experience: 12 to 20+ years of experience in enterprise architecture, with at least 3 to 5 years in a full-stack architect role focusing on application-heavy solutions.
Proven track record of designing and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud).
Hands-on experience with Java and/or .NET, and Python for backend development.
Exposure to front-end technologies such as React, Angular, or similar frameworks.
Strong understanding of AI concepts and their application in enterprise systems.
Expertise in integration patterns (e.g., REST, GraphQL, Kafka, message queues) and microservices architecture.
Exposure to big data technologies (e.g., Hadoop, Spark) and data integration pipelines.
Knowledge of enterprise integration platforms like MuleSoft, TIBCO, or Apache Camel.
Experience with infrastructure components such as containerization (Docker, Kubernetes), serverless computing, and IaC tools (Terraform, CloudFormation).
Understanding of DevOps practices, including CI/CD pipelines, monitoring, and logging tools.
Knowledge of enterprise security practices, including IAM, encryption, and compliance standards.
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and leadership abilities to guide cross-functional teams.
Ability to translate complex technical concepts into business-friendly language.
Proactive, innovative mindset with a focus on delivering scalable solutions.

Education: Bachelor s or master s degree in computer science, Engineering, or a related field.
Relevant certifications (e.g., AWS Solutions Architect, Azure Solutions Architect, TOGAF, or similar) are a plus.

Qualification

15 years full time education

Additional Information

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