Clear Cache Jobs in Usa

We’re looking for an experienced Marketing Sourcing Consultant to help support marketing procurement initiatives, with a strong focus on implementing and optimizing Scope of Work (SOW) and agency management platforms such as Decideware, AMS, or similar tools. This role will work closely with marketing and procurement teams to improve how agencies are engaged, managed, and evaluated, while also driving better use of data and analytics across sourcing activities.

What You’ll Do

• Bring strong marketing procurement expertise, particularly around working with and sourcing marketing agencies.
• Help lead the rollout and optimization of SOW tools such as Decideware, AMS, or similar platforms.
• Review and refine taxonomy, agency requirements, and implementation processes for the tool.
• Partner with marketing teams to establish clear ways of working and develop a planning calendar for marketing procurement activities.
• Build and improve dashboards and analytics that provide insights into agency spend, performance, and sourcing opportunities.
• Establish and strengthen supplier performance and relationship management processes.
• Identify opportunities to improve processes, tools, and supplier engagement strategies.
• Provide guidance and mentorship to team members as needed.

What We’re Looking For

• Strong experience in marketing procurement, particularly with agency sourcing and management.
• Hands-on experience implementing or managing SOW tools such as Decideware, AMS, or similar platforms.
• Experience negotiating and managing agency relationships to align with business goals.
• Comfortable working in regulated environments with structured procurement processes.
• Analytical mindset with strong problem-solving and project management skills.
• Interest in leveraging AI and data-driven insights within procurement and services sourcing.
• Strong communication and stakeholder management skills, with the ability to collaborate across teams and influence decision-making.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Must be local to TX

Role Overview

• He’s ideally looking for someone with 13+ years of experience, strong architecture depth, and the ability to clearly explain designs.
• Must have experience using AI is used in day‑to‑day development.
• Must have experience as a API Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.

Job Summary

We are seeking a Principal-level Full Stack Lead Developer with 13+ years of experience to drive high-priority engineering workstreams. This role is for a technical heavyweight who can lead new projects in parallel with existing leadership while maintaining exceptional architecture depth. You will be responsible for the full lifecycle of high-performance FastAPI and React applications, ensuring they are resilient, observable, and scalable. We expect a leader who views AI development tools as a force multiplier for velocity and can clearly articulate complex design decisions to stakeholders.

Key Responsibilities

• Project Sovereignty: Independently lead and deliver new, complex workstreams from inception to launch, acting as a technical peer to existing leadership (e.g., Sai).
• System Architecture: Design and defend distributed microservices and event-driven architectures. You must be able to clearly whiteboard and communicate design patterns to both technical and non-technical audiences.
• Hands-on Execution: Maintain high-velocity output of clean, production-grade code using FastAPI (Python) and React (TypeScript).
• Platform Reliability: Architect and implement global Error Handling frameworks, centralized Logging (e.g., OpenTelemetry, ELK), and API Management strategies including Rate Limiting and versioning.
• Event-Driven Messaging: Oversee the implementation of asynchronous service communication using ActiveMQ or AWS EventBridge.
• AI-Augmented SDLC: Deeply integrate AI coding tools (e.g., CloudCode, Cursor, GitHub Copilot) into daily workflows to accelerate prototyping, refactoring, and automated testing.
• Engineering Mentorship: Foster a culture of excellence through rigorous code reviews and by unblocking senior engineers on complex technical hurdles.
• Product Collaboration: Work closely with Product Managers to turn high-level roadmaps into technical reality, providing accurate estimates and identifying technical risks early.

Required Skills & Qualifications

• Experience:13+ years of professional software development with a proven track record of leading large-scale products.
• Tech Stack Mastery: Expert-level FastAPI (Async Python) and modern React (Hooks, TypeScript, Performance Profiling).
• Advanced Governance: Hands-on experience with API Gateway patterns, request throttling, and securing distributed systems (OAuth2/JWT).
• Observability & Messaging: Deep knowledge of structured logging, distributed tracing, and message brokers (ActiveMQ or EventBridge).
• AI Tooling: Advanced proficiency in using AI tools for Fast Development to reduce manual overhead and multiply team output.
• Database & Infrastructure: Expert-level PostgreSQL (tuning/indexing), Redis (for caching/rate-limiting), and container orchestration (Kubernetes/Docker).
• Communication: Exceptional ability to translate technical "scars" and architectural risks into clear business impact.

Job Description

NoSQL DBA with Mongo DB, Casandra, Couchbase, Elastic Search

We are seeking an experienced Database Engineer with strong expertise in MongoDB and working knowledge of additional NoSQL technologies including Elasticsearch, Cassandra, and Couchbase. The ideal candidate will be responsible for designing, implementing, and maintaining high-performance database solutions that support our enterprise applications and data infrastructure.

Primary Skills (MongoDB):

• 5+ years of hands-on experience with MongoDB in production environments

• Expert-level knowledge of MongoDB architecture, replication, and sharding

• Proven experience with MongoDB performance tuning and optimization

• Strong understanding of MongoDB Atlas and cloud-based deployments

• Proficiency in MongoDB query optimization and index design

• Experience with MongoDB backup, recovery, and disaster recovery strategies

• Knowledge of MongoDB security best practices and implementation

• Familiarity with MongoDB aggregation framework and data modeling

Secondary Skills (Nice to Have):

• 2+ years of experience with Elasticsearch for search and analytics

• Working knowledge of Cassandra for distributed database management

• Familiarity with Couchbase for caching and document storage

• Understanding of NoSQL database selection criteria and trade-offs

Technical Requirements:

• 7+ years of overall database administration and engineering experience

• Strong proficiency in scripting languages (Python, Bash, JavaScript)

• Experience with database monitoring tools and APM solutions

• Knowledge of Linux/Unix systems administration

• Understanding of containerization technologies (Docker, Kubernetes)

• Experience with CI/CD pipelines and infrastructure as code

• Familiarity with cloud platforms (AWS, Azure, or GCP)

KEY RESPONSIBILITIES

MongoDB Database Management:

• Design and implement MongoDB database architectures for scalability and high availability

• Perform capacity planning and resource optimization for MongoDB clusters

• Configure and maintain replica sets and sharded clusters

• Develop and enforce MongoDB coding standards and best practices

• Monitor database performance and implement tuning strategies

• Manage database security, including authentication, authorization, and encryption

• Execute backup and recovery procedures ensuring data integrity

• Troubleshoot complex database issues and performance bottlenecks

Multi-Database Support:

• Assist with Elasticsearch cluster configuration and index management

• Support Cassandra deployments for high-throughput workloads

• Provide guidance on Couchbase implementation for caching solutions

• Evaluate and recommend appropriate NoSQL solutions based on use cases

• Maintain documentation for all database platforms

Collaboration & Development:

• Work closely with development teams on database design and optimization

• Review database schemas and queries for performance improvements

• Participate in code reviews focusing on database interactions

• Provide technical guidance and mentorship to junior team members

Operations & Maintenance:

• Implement monitoring and alerting solutions for database health

• Perform regular maintenance tasks including patching and upgrades

• Develop disaster recovery plans and conduct failover testing

• Maintain database documentation and runbooks

• Participate in on-call rotation for production support

PREFERRED QUALIFICATIONS

• MongoDB Certified DBA or Developer certification

• Experience with data migration projects across different database platforms

• Knowledge of data modeling for both relational and NoSQL databases

• Understanding of microservices architecture

• Contributions to open-source database projects

AGE is seeking a Software Developer with strong C# and database expertise to join our development team. This role focuses on building and maintaining robust middle-tier services and data-driven applications. The candidate will work closely with cross-functional teams to design, develop, maintain and optimize scalable backend systems that power critical business functionality.

The ideal candidate combines solid middle-tier development experience with deep database development knowledge and a strong understanding of system design, performance, maintainability, and data integrity.

This role is hybrid in Philadelphia, PA, requiring onsite reporting at the customer's facility at least 1 day/week. Candidates must reside within a commutable distance of Philadelphia, PA in order to work onsite as required.

Responsibilities Include:

• 
  
• Design, develop, and maintain middle-tier services and backend components using C# and .NET technologies.
  
• Apply SOLID principles and clean architecture practices in application design.
  
• Build robust APIs and business logic layers to support web and enterprise applications.
  
• Collaborate with front-end developers, architects, and DevOps teams to deliver integrated solutions.
  
• Design, develop, optimize, and maintain relational databases (Oracle preferred).
  
• Write efficient stored procedures, views, functions, and complex queries.
  
• Optimize database performance, indexing strategies, and query tuning.
  
• Participate in code reviews and enforce best practices for clean, maintainable code.
  
• Troubleshoot and resolve production issues related to application logic and data layers.
  
• Contribute to architectural decisions and technical design discussions.
  
• Document technical designs and implementation details.
  

Required Skills, Qualifications and Experience:

• 
  
• BA/BS in technical discipline.
  
• 10 years of experience in middle-tier and database development.
  
• Experience in applying SOLID principles and object-oriented design patterns.
  
• Strong proficiency in C# and .NET (.NET Core/.NET 6+) and ASP.NET Web API.
  
• Experience designing and building RESTful APIs and middle-tier services.
  
• Experience with ORM frameworks (Entity Framework preferred, Dapper).
  
• Strong SQL skills and experience with relational databases (Oracle preferred, SQL Server, PostgreSQL).
  
• Experience writing and optimizing complex queries and stored procedures.
  
• Strong understanding of data modeling and database design principles.
  
• Experience with version control systems (TFVC and Git).
  
• Strong problem-solving skills and attention to detail.
  
• Must be a United States citizen with a DoD Secret clearance or ability to obtain a favorably adjudicated T3 investigation.
  

Preferred Qualifications:

• 
  
• Experience with microservices architecture
  
• Experience with CI/CD pipelines and DevOps best practices
  
• Experience with cloud platforms (Azure preferred)
  
• Experience with caching strategies (Redis, in-memory caching)
  
• Experience with performance profiling and monitoring tools
  
• Experience with containerization (Docker, Kubernetes)
  
• Experience with automated testing frameworks
  

Work Environment and Physical Demand:

• 
  
• Must be able to work for extended periods of time at a computer.
  

Compensation: $115,000+

At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.

• 
  
• 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  
• Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  
• 401(k) with Match: We match 3% of your contributions with immediate vesting.
  
• Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  
• Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  
• Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  
• Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  
• Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  
• Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.
  

At AGE, you'll do work that matters, supported by a company that delivers for its people.