Portfolio Manager & Java FullStack Developer & Data Architect (Data, AI & AWS) - 3 Positions

Innovim Technology Solutions (California, USA) Follow 7 hours ago

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Position: Java Full Stack Developer

Location: Dallas, TX

Experience should be 14+Years

Job Description:

Bachelor's degree in Computer science or equivalent, with minimum 14+ Years of relevant experience
Lead Full-Stack application development projects using Java, Spring Boot, Microservices, and Angular while providing technical leadership across the entire SDLC.
Serve as a Technical Lead responsible for solution design, architecture reviews, technical decision-making, code reviews, engineering standards, and mentoring development teams.
Proven experience leading and coordinating globally distributed onshore-offshore teams, managing delivery commitments, stakeholder communication, resource planning, and cross-functional dependencies.
Strong hands-on expertise in Core Java, Advanced Java, Java 8+, Collections Framework, Multithreading, Concurrency, Exception Handling, JVM concepts, and Object-Oriented Design principles.
Extensive experience with Spring Framework, Spring Boot, Spring MVC, Spring Data JPA, Hibernate, Dependency Injection, Spring Batch, Spring JMS, and enterprise application development.
Design, develop, and support RESTful APIs, Microservices, distributed systems, and scalable service-oriented architectures following modern design patterns and best practices.
Strong understanding of application security, performance optimization, resiliency, fault tolerance, production support, troubleshooting, and root-cause analysis.
Hands-on experience with Angular including Components, Modules, Services, Routing, Dependency Injection, Lifecycle Hooks, Reactive Forms, RxJS, and reusable UI component development.
Experience implementing front-end authentication and authorization using OAuth2, OIDC, JWT tokens, Role-Based Access Control (RBAC), Route Guards, and secure session management.
Strong knowledge of Local Storage, Session Storage, Angular Interceptors, API security, centralized error handling, request/response processing, and front-end security best practices.
Experience developing Custom Directives, reusable Services, state management solutions, API integrations, and performance-optimized Single Page Applications (SPA).
Strong experience with relational databases such as MySQL, PostgreSQL, including data modeling, query optimization, performance tuning, and database integration; exposure to NoSQL databases is preferred.
Hands-on experience with messaging and event-driven architectures using Kafka, RabbitMQ or similar middleware technologies.
Experience with cloud platforms such as Pivotal Cloud Foundry, GCP, AWS along with containerization technologies including Docker and Kubernetes.
Strong understanding of CI/CD, DevOps, and release management practices using Jenkins, Git, GitHub, Maven, Gradle, Harness, automated deployment pipelines, and environment management.
Experience with application monitoring and observability tools such as Splunk, AppDynamics, logging frameworks, and production monitoring solutions.
Hands-on experience with unit testing, integration testing, API testing, JUnit, Mockito, WireMock, Selenium, TestNG, and BDD/TDD practices to ensure high-quality software delivery.
Excellent communication, leadership, stakeholder management, problem-solving, and team-building skills with the ability to balance hands-on technical contributions and delivery leadership.

Job Title: Portfolio Manager
Location: Remote

Required Skills: Portfolio Management, Enterprise Capital Planning, Portfolio Governance, Stakeholder Management, and Program/Project Management

Required Skills

5+ years of experience in Portfolio Management, Program Management, or Project Management.
Experience supporting enterprise capital planning, investment planning, or capital budgeting (CAPEX).
Strong understanding of portfolio governance, project prioritization, and strategic planning.
Proven ability to manage multiple concurrent projects across business and IT organizations.
Excellent stakeholder management, negotiation, and executive communication skills.
Strong analytical, organizational, and problem-solving abilities.
Experience with portfolio management tools such as Planview, Clarity PPM, Microsoft Project, Jira, Smartsheet, or similar.
Knowledge of project management methodologies (Agile, Waterfall, Hybrid).
Bachelor's degree in Business Administration, Finance, Project Management, or a related field.
Professional certifications such as PMP, PfMP, or PgMP are highly preferred.

Job Title: Enterprise Architect (Data, AI & AWS) / Data Architect (Data, AI & AWS)
Location: Torrance, CA (Hybrid)

Description:

Bachelor's degree in Computer science or equivalent,
Strong experience in Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics.
Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps).
Proven expertise in enterprise integration architecture using MuleSoft or equivalent middleware (REST/SOAP APIs, event-driven architecture, middleware patterns)
Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making.
Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.
Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes.
Experience moving AI projects from "Proof of Concept" (PoC) to full-scale enterprise production.
Preferred to have proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS).
Preferred to have experience with Snowflake, Databricks, or Apache Spark for large-scale data processing.
Preferred to have background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation.
Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows
AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect Professional or AWS Certified Data Engineer).
Excellent problem-solving, communication, and stakeholder management skills.
Ability to lead technical discussions, architecture reviews, and cross-functional initiatives.