Lead Enterprise Architect

Unisys
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Confluence
JIRA
Unit Testing
Azure
Bash
Bioinformatics
Cloud Computing
Code Review
Databases
Data Systems
Data Warehousing
DevOps
Disaster Recovery
DNS
Fault Tolerance
Groovy
High-Level Architecture
Python
Machine Learning
Metadata
Reference Data
Cloud Services
Fortify (Software)
SONAR (Symantec)
Spinnaker
Data Streaming
Systems Architecture
Firewalls (Computer Science)
GIT
Cloudformation
Information Technology
Atlassian Tools
Data Analytics
Bitbucket
Cloud Migration
Terraform
Devsecops
Docker
Jenkins
Artifactory
Go

Job description

Be an Early Applicant Remote 2 Locations Expert/Leader Remote 2 Locations Expert/Leader Lead enterprise-level cloud and data architecture design, drive cloud migrations and modernization, develop high-level technical architectures and IaC/CI-CD automation, mentor teams, ensure security, scalability, and compliance, and align solutions with product and business roadmaps. The summary above was generated by AI

What success looks like in this role:

  • Collaborates with business, technology and product stakeholders to drive holistic architectural design
  • Monitors industry and the competition for solution-focused technical and process changes and advances.
  • Develops the logical and technical architecture for project and platform initiatives.
  • Evaluates performance, security, reliability, operations, technology and interoperability requirements and produces high level design deliverables that enable development teams to produce products that are flexible, scalable, and secure.
  • Works with cross-functional technical, development and delivery teams to ensure application of smooth, efficient and scalable release processes.
  • Communicates technical architectures, relevant technologies, practices, platforms, and products to delivery teams and other stakeholders.
  • Translates business requirements into technical specifications, including data streams, integrations, transformations, databases and data warehouses.
  • Helps define data architectural framework, standards and principles, including modeling, metadata, security, reference data, etc.
  • Helps define reference architecture and patterns others follow to create and improve data systems.
  • Collaborates with data users, software and other technical stakeholders to structure effective data flows - from generation through transition to application.
  • Provides Systems Architecture advice and support across a larger product portfolio or business line.
  • Collaborates with business, engineering and product stakeholders to drive holistic technology implementations while maintaining constant focus on delivering client value.
  • Works with portfolio stakeholders and customers to align the architectural direction of the solution intent.
  • Drives structuring of the product vision, roadmap, priorities, enabler capabilities, non-functional requirements and solution demo activities.
  • Consults with architecture, development, infrastructure and operational teams to address issues relating to performance, security, scalability, observability and availability.

Responsibilities:

Design cloud solutions based on the well-architected framework.

Provide thought leadership on usage and implementation of cost-effective cloud solutions.

Work closely with client stakeholders (chief architects, technology SMEs, etc.,) to gather requirements for cloud migrations, cloud-native greenfield solutions etc.

Review solution architectures with internal cloud architects, and external stakeholders

Develop proof-of-concepts, wherever necessary, and validate the solutions with client stakeholders.

Conduct assessments on existing environments and provide recommendations for choosing and implementing the right cloud strategy.

Work with client stakeholders to create migration, modernization, and digital transformation roadmaps.

Setup Cloud Centers of Excellence by working with customer's IT SMEs.

Implement cloud solutions that are highly secure, resilient, fault-tolerant, and compliant.

Manage and maintain AWS cloud environments and resources.

Provide Hands-on support, wherever necessary, to develop cloud native solutions, DevSecOps, IaC, and SRE automation

Develop unit tests wherever applicable

Gather requirements from the clients and dissect them into user stories and tasks.

Provide technical guidance and assistance to other team members

Conduct code reviews and technical design sessions

Work collaboratively with other team members in designing and problem solving

Participate in all agile ceremonies

Requirements

10+ years of Hands-on experience developing and managing cloud-native solutions, preferably in AWS or Azure.

Hands-on experiences with core cloud services (storage, networking, firewalls, DNS, databases, applications, data analytics, compute, container services) across any cloud provider, preferably AWS or Azure.

10+ years of Hands-on experience in programming and scripting technologies like Java, Python, Groovy, Shell, Go

7+ years of Hands-on experience in designing and developing IaC automation using terraform, cloud formation templates, or ARM templates

7+ years Hands-on experience designing and developing CI/CD pipelines using Jenkins Pipelines or other CI tools

Hands-on experience in developing utility scripts and tools using python or shell

Hands-on experience in using DevOps tool set Git, Artifactory, Jenkins, Sonar, Fortify, Spinnaker etc.

Experience in building and deploying docker images

Knowledge of implementing Disaster Recovery solutions on-premises or cloud

Experience working with agile tools preferably Jira, Bitbucket, Confluence

Experience developing unit tests for pipelines

Knowledge of 12 factor app methodology

Certified Solution Architect in AWS or Azure

Bachelor's or master's degree in computer science

Experience in designing and developing AI/ML solutions.

This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

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