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UNICOM Technologies Inc

UNICOM Technologies Inc

www.unicomtec.com

3 Jobs

45 Employees

About the Company

UNICOM Technologies, Inc., An accomplished leader with proven experience in staff augmentation, we at UNICOM brought together the brightest of thought leaders, software engineers who believe in the disruptive power and value of strategic partnerships that improve strategic sourcing.

We provide expertise and professional services throughout the entire Software Development Life cycle from Strategic Planning, Project Initiation, Business Analysis and Functional User Requirements Analysis, Systems Development to Testing, Implementation and Post Implementation Review.

Listed Jobs

Company background Company brand
Company Name
UNICOM Technologies Inc
Job Title
Azure DevOps
Job Description
**Job Title**: Azure DevOps Engineer **Role Summary**: Senior Azure DevOps Engineer responsible for designing, implementing, and maintaining Azure-based CI/CD pipelines, infrastructure provisioning, and deployment automation across development, test, and production environments. Leveraging extensive experience with Azure services, Terraform, and container orchestration to ensure scalable, secure, and high‑availability solutions. **Expectations**: - Deliver robust, end‑to‑end automation for application release cycles. - Ensure continuous availability, performance, and security of cloud and on‑premises infrastructure. - Resolve build, deployment, and runtime issues promptly and proactively. - Collaborate with development, QA, and ops teams to refine processes and tooling. - Maintain documentation, best‑practice guides, and compliance controls. **Key Responsibilities**: - Configure and maintain Azure cloud and on‑premises infrastructure via IaC (Terraform, Azure Resource Manager). - Build and optimize CI/CD pipelines using Azure DevOps, Git, Jenkins, and related tools. - Automate provisioning of Compute, Storage, Networking, AKS, App Service, Front Door, WAF, VPN, and related Azure services. - Develop and maintain scripting solutions (PowerShell, Bash, Python) for deployment and asset management. - Implement and manage containerization and micro‑services architectures (Azure Kubernetes Service, Docker). - Integrate APIs, web services, and external systems into deployment workflows. - Enforce security best practices (certificates, encryption, IAM, network security). - Provide rapid issue resolution and proactive monitoring for build and runtime environments. - Document architectural decisions, deployment procedures, and operational runbooks. **Required Skills**: - 8+ years Azure DevOps experience; 8+ years CI/CD; 5+ years Azure services provisioning. - Proficiency in Terraform, Azure Portal, Azure CLI, and Azure Resource Manager. - Strong scripting: PowerShell, Bash, Python; knowledge of XML, JSON, YAML. - Container orchestration: Azure Kubernetes Service (AKS), Docker. - Experience with APIs, web services, and multiple programming languages (Java, C#, Python, Scala, R, Spark). - Networking fundamentals: LAN, WAN, DNS, routing, firewall, load balancing, VPN. - Security fundamentals: certificates, encryption, IAM, Azure AD, OAuth2.0. - Agile development practices and DevOps methodologies. - Source control, branching, merging, and conflict resolution best practices. - Experience with Azure Repos, Pipelines, Artifacts, and Azure DevOps extensions. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). - Azure certifications (AZ-400, AZ-220, AZ-303/304, or similar) highly preferred. - Terraform certification or equivalent practical expertise is mandatory.
Issaquah, United states
On site
Senior
14-01-2026
Company background Company brand
Company Name
UNICOM Technologies Inc
Job Title
Product Manager AI
Job Description
**Job Title:** Product Manager AI **Role Summary:** Lead the strategic roadmap and execution for AI-driven products across all platform pillars, ensuring alignment with business objectives and stakeholder expectations. **Expectations:** - Own and evolve the product vision, strategy, and roadmap for AI initiatives. - Act as the primary liaison between cross‑functional teams and executive stakeholders. - Maintain clear, consistent communication and foster collaborative decision‑making. - Demonstrate strong active listening to capture business needs and refine product direction. **Key Responsibilities:** - Develop and prioritize product roadmaps spanning strategy, design, engineering, launch, and growth. - Collaborate with product, engineering, data science, marketing, and sales to align AI features with market demand. - Conduct stakeholder interviews, workshops, and demos to gather feedback and keep project stakeholders informed. - Translate complex AI concepts into business value propositions and actionable requirements. - Track product metrics, adjust roadmaps, and report progress to senior leadership. - Ensure timely delivery of AI product milestones while maintaining high quality standards. **Required Skills:** - Proven product management experience, ideally in AI, data, or software platform environments. - Deep understanding of AI/ML product lifecycles, including data pipelines, model deployment, and user impact. - Strong stakeholder management and communication skills; ability to influence without authority. - Active listening and facilitation abilities to capture diverse perspectives and resolve conflicts. - Analytical thinking, data‑driven decision‑making, and prioritization skills. - Experience with Agile methodologies; familiarity with tools such as Jira, Confluence, or equivalent. - Insurance industry knowledge is mandatory; experience with underwriting, claims, or insurance tech is essential. **Required Education & Certifications:** - Bachelor’s degree in Business, Engineering, Computer Science, Data Science, or a related field (or equivalent experience). - Product management certification preferred (e.g., Certified Product Manager, Pragmatic Marketing, or similar). - Understanding of industry-specific regulations (e.g., insurance compliance) is expected.
Iselin, United states
On site
22-01-2026
Company background Company brand
Company Name
UNICOM Technologies Inc
Job Title
AI / ML Engineer
Job Description
Job Title: AI / ML Engineer Role Summary: Design, build, and maintain scalable AI/ML systems and APIs for entertainment products. Develop LLM‑driven applications using LangChain/LangGraph and deploy on Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, Pub/Sub, and Cloud Storage. Build robust data pipelines, process large datasets, and write high‑quality, production‑grade Python code. Expactations: - Proven experience in software or ML engineering roles. - Proficiency in Python 3.10+ and strong programming fundamentals. - Hands‑on knowledge of GCP AI/ML services (Vertex AI, AI Platform) and data services (BigQuery, Cloud Storage, Pub/Sub). - Experience building APIs with FastAPI or Flask. - Skilled in data manipulation with Pandas, NumPy, and relational databases (PostgreSQL, SQLAlchemy, asyncpg). - Familiarity with asynchronous programming (asyncio) and event‑driven architecture. - Understanding of MLOps principles, CI/CD, and model deployment lifecycle. - Preferred: work with LangGraph for agentic LLM workflows and messaging systems on GCP. Key Responsibilities: - Architect and implement end‑to‑end AI/ML pipelines on GCP. - Design and build scalable APIs using FastAPI, ensuring clean, testable, and maintainable code. - Develop and integrate LLM solutions with LangChain and LangGraph, creating stateful, agentic workflows. - Process, analyze, and transform large datasets with Pandas, NumPy, SQL, and PostgreSQL; manage data ingestion and storage. - Collaborate with cross‑functional teams to gather requirements and deliver AI‑driven features. - Apply MLOps practices: versioning, automation, CI/CD, monitoring, and continuous improvement of models. - Stay current on AI/ML advancements and GCP best practices to inform architecture and tooling decisions. Required Skills: - Python 3.10+ (strong object‑oriented design, testing, and debugging). - GCP services: Vertex AI, AI Platform, BigQuery, Pub/Sub, Cloud Storage. - LLM frameworks: LangChain, optional LangGraph. - API frameworks: FastAPI, Flask. - Data manipulation: Pandas, NumPy; relational SQL with PostgreSQL. - Asynchronous programming (asyncio). - Event‑driven architecture and messaging systems. - MLOps and CI/CD (Git, Docker, Kubernetes, Argo/Cloud Build, monitoring). - Strong unit/integration testing practices. Required Education & Certifications: - Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or related field. - Preferred certifications: Google Cloud Professional Machine Learning Engineer, GCP Data Engineer, or equivalent.
San francisco, United states
On site
03-02-2026