Serigor Inc
Job Title: Technical Architect (Onsite)
Location:
Columbia, MD Duration:
Full-Time Job Description:
We are seeking a highly skilled and innovative
Technical Architect
to design and guide the implementation of scalable, secure, and high-performing software solutions. In this role, you will collaborate with cross-functional teams, business stakeholders, and other architects to ensure successful project delivery and technical excellence.
You’ll be hands-on in shaping system architecture, exploring new technologies (including
AI/ML solutions ), and helping development teams translate business goals into robust technical designs. Key Responsibilities:
Design and implement
scalable, secure, and high-availability architectures
aligned with business goals and best practices. Evaluate existing systems, identify improvement opportunities, and propose modernization or optimization strategies. Lead the
architecture design for multi-stack environments , integrating applications built on
.NET, Java, Python , and other technologies. Incorporate
AI and machine learning capabilities
where appropriate to enhance system intelligence, automation, and analytics. Research and recommend emerging technologies, tools, and frameworks to improve performance, efficiency, and innovation. Provide
technical leadership
and direction to development teams, ensuring adherence to architecture standards and coding best practices. Collaborate closely with stakeholders, product owners, and technical leads to define solution roadmaps and integration strategies. Identify and resolve
system performance bottlenecks , scalability issues, and architectural risks. Ensure all designs comply with
security, compliance, and data protection
standards. Create and maintain architectural documentation, including diagrams, technical guidelines, and design specifications. Mentor and coach developers, promoting technical growth and knowledge sharing across the team. Qualifications:
10+ years
of professional experience in software development and architecture, with a strong background in
multi-stack environments
(.NET, Java, Python, etc.). Proven experience designing and implementing
cloud-based architectures
using
AWS, Azure, or Google Cloud Platform (GCP) . Deep understanding of
microservices ,
RESTful APIs , and
event-driven
architectures. Experience with
AI/ML frameworks
(such as TensorFlow, PyTorch, or Azure AI Services) and integrating AI features into enterprise applications. Strong knowledge of both
SQL and NoSQL
databases and experience with modern data design patterns. Familiarity with
DevOps practices
and tools like
CI/CD pipelines ,
Docker ,
Kubernetes ,
Terraform , or
Ansible . Excellent analytical and problem-solving abilities with a focus on delivering practical and scalable solutions. Strong communication and leadership skills, capable of engaging both technical and non-technical audiences. Experience in
AI-driven system design
(e.g., predictive analytics, intelligent automation, or NLP integration). Exposure to
data engineering ,
APIs , and
cloud-native application
design. Familiarity with
Agile/Scrum
methodologies. Background in
enterprise integration
and modernization projects.
Location:
Columbia, MD Duration:
Full-Time Job Description:
We are seeking a highly skilled and innovative
Technical Architect
to design and guide the implementation of scalable, secure, and high-performing software solutions. In this role, you will collaborate with cross-functional teams, business stakeholders, and other architects to ensure successful project delivery and technical excellence.
You’ll be hands-on in shaping system architecture, exploring new technologies (including
AI/ML solutions ), and helping development teams translate business goals into robust technical designs. Key Responsibilities:
Design and implement
scalable, secure, and high-availability architectures
aligned with business goals and best practices. Evaluate existing systems, identify improvement opportunities, and propose modernization or optimization strategies. Lead the
architecture design for multi-stack environments , integrating applications built on
.NET, Java, Python , and other technologies. Incorporate
AI and machine learning capabilities
where appropriate to enhance system intelligence, automation, and analytics. Research and recommend emerging technologies, tools, and frameworks to improve performance, efficiency, and innovation. Provide
technical leadership
and direction to development teams, ensuring adherence to architecture standards and coding best practices. Collaborate closely with stakeholders, product owners, and technical leads to define solution roadmaps and integration strategies. Identify and resolve
system performance bottlenecks , scalability issues, and architectural risks. Ensure all designs comply with
security, compliance, and data protection
standards. Create and maintain architectural documentation, including diagrams, technical guidelines, and design specifications. Mentor and coach developers, promoting technical growth and knowledge sharing across the team. Qualifications:
10+ years
of professional experience in software development and architecture, with a strong background in
multi-stack environments
(.NET, Java, Python, etc.). Proven experience designing and implementing
cloud-based architectures
using
AWS, Azure, or Google Cloud Platform (GCP) . Deep understanding of
microservices ,
RESTful APIs , and
event-driven
architectures. Experience with
AI/ML frameworks
(such as TensorFlow, PyTorch, or Azure AI Services) and integrating AI features into enterprise applications. Strong knowledge of both
SQL and NoSQL
databases and experience with modern data design patterns. Familiarity with
DevOps practices
and tools like
CI/CD pipelines ,
Docker ,
Kubernetes ,
Terraform , or
Ansible . Excellent analytical and problem-solving abilities with a focus on delivering practical and scalable solutions. Strong communication and leadership skills, capable of engaging both technical and non-technical audiences. Experience in
AI-driven system design
(e.g., predictive analytics, intelligent automation, or NLP integration). Exposure to
data engineering ,
APIs , and
cloud-native application
design. Familiarity with
Agile/Scrum
methodologies. Background in
enterprise integration
and modernization projects.