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Remote Lte Optimization Engineer Jobs in Randolph, MA

... optimization and adjustment needs. • The SFE will work closely with the system programmer to ensure the control system is functioning as without any issues. Remote systems work with programmers is ...

Network Engineer

Boston, MA · Remote

$70K - $80K/yr

Remote We are Growers, We are Wholesalers, We are Producers, We Are Budtenders, We are Retailers ... In this role, you'll be responsible for maintaining and optimizing our network infrastructure while ...

Senior Engineer

Boston, MA · On-site +1

$200K - $241K/yr

No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ... And building and optimizing large data pipelines. Ref Job No. N266 The salary range for this role ...

Senior Engineer

Boston, MA · Remote

$200K - $241K/yr

No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ... And building and optimizing large data pipelines. Ref Job No. N266 The salary range for this role ...

Senior Distribution Engineer

Boston, MA · On-site +1

$145K - $175K/yr

By enhancing efficiency, improving customer experience, and optimizing energy management, we help ... Hybrid - Boston, MA preferred, or Remote (Eastern Time Zone). Travel: Travel to conferences ...

Senior Engineer

Boston, MA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Experience designing and optimizing distributed systems for high throughput, low latency, and high ...

Senior Distribution Engineer

Boston, MA · On-site +1

$145K - $175K/yr

By enhancing efficiency, improving customer experience, and optimizing energy management, we help ... Hybrid - Boston, MA preferred, or Remote (Eastern Time Zone). ✈️ Travel: Travel to conferences ...

This position will be responsible for developing, optimizing and growing the firm's corpus of ... This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities

Senior Project Engineer

Weston, MA · On-site +1

$75K - $182K/yr

Support continuous improvement efforts by identifying risks, lessons learned, and optimization ... Particularly working with people remote to you either in the field or a remote office. * Team first ...

Staff Engineer, DevOps

Waltham, MA · On-site +1

$122K - $205K/yr

Position can be remote. PURPOSE AND SCOPE: Fresenius Medical Care is seeking a highly skilled and ... Manage and maintain Windows and Linux servers, ensuring optimal performance and availability.

Engineering Manager - DevOps

Boston, MA · Remote

$54 - $74/hr

Familiarity with PostgreSQL, application performance monitoring, and AWS cost optimization. * Experience with AI-assisted development tools and workflows. * Experience supporting remote engineering ...

New

Engineering Manager - DevOps

Boston, MA · On-site +1

$57.25 - $78.50/hr

Familiarity with PostgreSQL, application performance monitoring, and AWS cost optimization. * Experience with AI-assisted development tools and workflows. * Experience supporting remote engineering ...

Showing results 41-60

Remote Lte Optimization Engineer information

See Randolph, MA salary details

$36.2K

$98K

$171.3K

How much do remote lte optimization engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote lte optimization engineer in Randolph, MA is $97,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $110,100.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Remote LTE Optimization Engineer and how can they be managed?

Remote LTE Optimization Engineers often encounter challenges such as limited on-site access to equipment, reliance on remote diagnostic tools, and potential delays in troubleshooting network issues. To manage these challenges, engineers use advanced remote monitoring systems, collaborate closely with local field technicians, and participate in regular virtual meetings with cross-functional teams. Effective communication, adaptability, and a proactive approach to problem-solving are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Remote LTE Optimization Engineer, and why are they important?

To thrive as a Remote LTE Optimization Engineer, you need a solid background in wireless communications, radio frequency (RF) engineering, and a relevant engineering degree. Familiarity with network optimization tools like TEMS, Atoll, and drive test analysis software, as well as certifications such as CCNA or relevant vendor certifications, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate remotely with cross-functional teams and address network performance issues. These skills ensure optimal network quality, efficient troubleshooting, and reliable mobile service delivery for end users.

What does a Remote LTE Optimization Engineer do?

A Remote LTE Optimization Engineer is responsible for analyzing and improving the performance of LTE (Long-Term Evolution) wireless networks from a remote location. Their tasks include monitoring network KPIs, troubleshooting issues, optimizing network parameters, and recommending changes to enhance coverage, capacity, and quality of service. They work closely with field engineers and network operators to ensure optimal network performance, often using advanced software tools to analyze data and implement solutions remotely.

Python Full Stack Engineer

SMART TECH SKILLS LLC

Boston, MA • Remote

Full-time

Posted 5 days ago


Job description

Benefits:
  • Competitive salary

Location
Remote
Experience Level
Mid–Senior Level (4 or more years of experience)
Role Overview
The Python Full Stack Engineer designs, builds, and maintains production-grade web applications end-to-end. This role focuses on developing FastAPI backends, React frontends, and deploying applications on Azure App Services using GitHub CI/CD pipelines. Additionally, the engineer integrates practical AI capabilities—including Azure OpenAI, Azure AI Foundry, LangChain, and prompt engineering—to ship robust features such as Retrieval-Augmented Generation (RAG), smart assistants, and automated tools.
Key Responsibilities

Backend & Frontend Engineering
• Design, build, and maintain scalable backend services and REST APIs in Python using FastAPI, middleware, background tasks, and database integrations.
• Develop and maintain performant, user-friendly, and testable frontend interfaces using React, modern state management, and hooks.
• Apply software engineering best practices, including unit/integration testing, clean architecture, documentation, logging, and performance optimization.
Cloud, DevOps, & Observability
• Deploy, operate, and troubleshoot full-stack web applications on Azure App Services, managing configuration, scaling, and incident response.
• Build and manage automated CI/CD pipelines on GitHub, incorporating automated testing, code quality checks, and deployments.
• Securely integrate core Azure services, including Azure Key Vault, Azure Storage, and Application Insights for observability and monitoring.
AI Integration & Feature Engineering
• Implement practical AI-powered features, smart tools, and assistants using Azure OpenAI and Azure AI Foundry.
• Utilize LangChain or similar frameworks to orchestrate LLM workflows, tools, agents, and Retrieval-Augmented Generation (RAG) patterns.
• Apply structured prompt engineering techniques to ensure reliability, safety, quality, and mitigation of LLM hallucinations.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4 or more years of professional software engineering experience building and operating production systems.
• Strong Python development capabilities, including typing, packaging, async programming, and clean code organization.
• Solid experience building backend APIs with FastAPI (or similar frameworks), including routing, middleware, authentication, and async I/O.
• Hands-on frontend development experience using React (hooks, state management, API integration, and testing fundamentals).
• Experience deploying and running web applications on Azure App Services or similar PaaS environments.
• Proficiency with Git, GitHub Actions, pull requests, code reviews, and CI/CD pipelines.
• Familiarity with relational or NoSQL database integration within Python backends.
Preferred Qualifications
• Hands-on experience integrating LLMs using Azure OpenAI, Azure AI Foundry, and vector search services (e.g., Azure AI Search).
• Exposure to LangChain or similar frameworks for building LLM workflows, tool-using agents, and RAG architectures.
• Working knowledge of prompt engineering patterns (system prompts, few-shot prompting, structured outputs, and safety guardrails).
• Experience with background task processing frameworks (e.g., Celery, RQ, Azure Functions, or queue systems).
• Experience establishing observability stacks (logging, metrics, tracing) within Azure environments.
• Prior experience in client-facing or consulting technology environments.
Core Skills & Attributes
• Application-first engineering mindset prioritizing clean architecture, maintainability, reliability, and code quality.
• Strong analytical and problem-solving skills to own features end-to-end from technical design through deployment and monitoring.
• Excellent communication and collaborative skills to partner effectively with product, design, and engineering teams.
• Practical approach to evaluating and applying emerging AI capabilities within production software limits.

This is a remote position.