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About
What You'll Do Design scalable, secure, and maintainable cloud-native applications that meet client requirements Create and maintain application architecture documentation and design patterns Develop standardized frameworks and templates for application development projects Lead technical discovery workshops and architecture review sessions with clients Provide hands-on development leadership for complex application development projects Conduct code reviews and ensure adherence to coding standards and best practices Serve as the primary technical consultant for application development engagements Conduct application assessments and provide modernization roadmaps Present technical solutions and recommendations to client stakeholders Collaborate with sales and solutions teams on scoping application development projects Mentor junior and mid-level developers on modern application development practices Contribute to internal knowledge base and development standards documentation Ensure projects are delivered on time, within budget, and meet quality standards Collaborate with project managers to provide accurate effort estimates and technical guidance Participate in project retrospectives and contribute to process improvement initiatives Maintain billable utilization targets while delivering high-quality technical solutions Required Skills
Minimum of 7+ years of experience in application development, with at least 4 years in senior or lead architect roles AWS Solutions Architect Professional certification or ability to obtain within 6 months Demonstrated expertise in backend development using modern languages such as Python, Java, Node.js, or Go Strong experience with cloud-native application patterns including microservices, serverless, and container-based architectures Hands-on experience with AWS application services including Lambda, ECS/EKS, API Gateway, EventBridge, and Step Functions Proficiency with modern application frameworks and libraries (Spring Boot, Django, Express.js, FastAPI, etc.) Experience with database design and optimization for both relational and NoSQL databases in cloud environments Strong understanding of DevOps practices, CI/CD pipelines, and Infrastructure as Code Experience leading application modernization projects from legacy systems to cloud-native architectures Demonstrated ability to mentor junior developers and provide technical guidance Preferred
Passion for modern application development and cloud-native architectures Strong technical leadership skills with the ability to guide architectural decisions and mentor development teams Deep understanding of backend development frameworks, microservices architectures, and API design patterns Experience with containerization, orchestration, and cloud-native development patterns Strong customer relationship management skills with the ability to translate complex technical concepts to business stakeholders Proactive approach to identifying technical debt and modernization opportunities Ability to balance hands-on development with architectural oversight and mentoring Experience working in agile development environments with CI/CD practices Natural proclivity for staying current with emerging application development technologies and best practices AWS Developer Professional certification Full-stack development experience including front-end frameworks (React, Angular, Vue.js), event-driven architectures, and messaging systems (SQS, SNS, Kafka) Operational expertise with Infrastructure as Code (Terraform, AWS CDK, CloudFormation), monitoring/observability tools (CloudWatch, X-Ray, Prometheus, Grafana), and performance optimization strategies Knowledge of security best practices, secure coding, and compliance frameworks (SOC 2, HIPAA, PCI) for application development Background in Agile/Scrum methodologies and previous consulting or professional services experience
$150,000 - $200,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Languages
- English
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