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Senior Packet Core Engineer Jobs in Chicago, IL (NOW HIRING)

Bright Mind Solutions LLC

Sr .Net Developer

Chicago, IL · On-site

$60 - $65/hr

NET Core Developer focused on building scalable, microservices-based applications. You'll work with modern technologies like Kafka, Docker, and Kubernetes to deliver high-performance systems. Key ...

twh

Sr Sales Engineer, Chicago

Chicago, IL

Core Skills * Strong communication and presentation skills * Comfortable working in a project based ... solutions, packet analysis tools and operating system analysis. * Understand and be conversant ...

Finoit Inc.

Senior Software Engineer (.NET)

Chicago, IL · On-site

$150K - $175K/yr

Senior Software Engineer (.NET) - Remote Location: Remote (U.S.) Salary: $150,000-$175,000 Base ... NET Core. * Design, develop, and optimize SQL Server databases, including performance tuning and ...

Virtusa

Production Support Engineer

Chicago, IL

$43.25 - $56.50/hr

... network packets and database states to diagnose intricate system behaviors 2 Code Defect Correction Engineering Collaboration Navigate and analyze the core ALTO application codebase to pinpoint ...

IMC

Network Engineer

Chicago, IL · Hybrid

Core areas include low-latency networking, unicast and multicast routing, BGP, PIM-SM, performance ... packet analysis * Experience with diverse network switching hardware platforms * Hands-on scripting ...

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All JobsPacket Core Engineer JobsSenior Packet Core Engineer JobsSenior Packet Core Engineer Jobs in Chicago, IL

Senior Packet Core Engineer information

See Chicago, IL salary details

$61.3K

$130.4K

$189K

How much do senior packet core engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior packet core engineer in Chicago, IL is $130,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $147,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Packet Core Engineer vs Network Operations Engineer?

AspectSenior Packet Core EngineerNetwork Operations Engineer
CertificationsCCNA, CCNP, Cisco certifications, LTE/5G certificationsCCNA, Network+, Cisco certifications
Work EnvironmentTelecom carriers, mobile network providers, infrastructure companiesTelecom providers, ISPs, enterprise network teams
ResponsibilitiesDesign, optimize, and troubleshoot packet core networks for LTE/5GMonitor, maintain, and support network infrastructure and services

The Senior Packet Core Engineer focuses on designing and maintaining core network elements for mobile data services, while the Network Operations Engineer handles overall network monitoring and support. Both roles require networking certifications and work within telecom or ISP environments, but their daily tasks differ in scope and specialization.

What are some common challenges faced by senior packet core engineers, and how can they be addressed?

Senior Packet Core Engineers often encounter challenges such as managing complex network integrations, ensuring high availability, and troubleshooting advanced issues in live mobile core networks. Staying updated with evolving technologies like 5G and virtualization can also be demanding. To address these challenges, engineers typically collaborate closely with cross-functional teams, participate in ongoing training, and implement robust monitoring tools to proactively identify and resolve potential issues. Strong problem-solving skills and continuous learning are essential for success in this dynamic role.

What is a senior packet core engineer?

A Senior Packet Core Engineer is a highly skilled telecommunications professional responsible for designing, implementing, and maintaining the packet core network infrastructure that supports mobile data services. Their role involves managing core network elements such as SGSN, GGSN, MME, and EPC nodes, ensuring reliable and efficient data transmission across 3G, 4G/LTE, and 5G networks. They also troubleshoot complex issues, optimize network performance, and may lead teams in deploying new technologies or upgrades. Senior Packet Core Engineers frequently collaborate with vendors, network architects, and other engineers to ensure seamless integration and high availability of services.

What are the key skills and qualifications needed to thrive as a senior packet core engineer?

To thrive as a Senior Packet Core Engineer, you need in-depth knowledge of mobile core network architecture (EPC, 4G/5G), strong troubleshooting abilities, and a degree in telecommunications or a related field. Proficiency with network management tools, packet analyzers (like Wireshark), and certifications such as Cisco CCNP or Nokia NRS are typically required. Excellent problem-solving skills, teamwork, and effective communication are critical soft skills for success in this role. These competencies ensure reliable network performance, minimize downtime, and facilitate seamless collaboration across technical teams in high-demand environments.
What are the most commonly searched types of Packet Core Engineer jobs in Chicago, IL? The most popular types of Packet Core Engineer jobs in Chicago, IL are:
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Senior Packet Core Engineer jobs near you

Senior Microsoft Forward Deployed Engineer - GPS

Deloitte

Chicago, IL • On-site

$107K - $147K/yr

Full-time

Re-posted 16 hours ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an Microsoft Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, and deliver complex programs with a product engineering mindset. Our flexible delivery models-traditional teams, pools, or pods-are tailored for each client's needs, offering engineering-led Advise, Implement, and Operate capabilities to accelerate innovation.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Microsoft including hands on experience with one of the following key platform technologies: production-grade Python and TypeScript or C#, Azure AI Foundry and Azure OpenAI hands-on experience, Azure AI Search with real RAG implementation experience
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
  • 1+ years of experience building reliable, maintainable, and well-documented code.
  • 1+ years experience with Copilot Studio and/or M365 Copilot extensibility (declarative agents, API plugins, Graph connectors)
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to obtain and maintain a US government security clearance.

Preferred:

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
  • Semantic Kernel or AutoGen; agentic patterns; structured output and tool/function calling
  • Microsoft Fabric, Synapse, or Databricks-on-Azure
  • Eval frameworks, prompt engineering rigor, responsible AI (content safety, red-teaming, PII)
  • Azure landing zone fluency
  • GPS experience
  • MCT, MVP, or meaningful certs (AI-102, AZ-204, DP-700, Copilot certs)
  • Prior FDE experience at Palantir, OpenAI, Anthropic, or similar
  • Experience operating within hybrid onshore/offshore teams.
  • Familiarity with security, privacy, and compliance considerations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an Microsoft Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, and deliver complex programs with a product engineering mindset. Our flexible delivery models-traditional teams, pools, or pods-are tailored for each client's needs, offering engineering-led Advise, Implement, and Operate capabilities to accelerate innovation.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Microsoft including hands on experience with one of the following key platform technologies: production-grade Python and TypeScript or C#, Azure AI Foundry and Azure OpenAI hands-on experience, Azure AI Search with real RAG implementation experience
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
  • 1+ years of experience building reliable, maintainable, and well-documented code.
  • 1+ years experience with Copilot Studio and/or M365 Copilot extensibility (declarative agents, API plugins, Graph connectors)
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to obtain and maintain a US government security clearance.

Preferred:

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
  • Semantic Kernel or AutoGen; agentic patterns; structured output and tool/function calling
  • Microsoft Fabric, Synapse, or Databricks-on-Azure
  • Eval frameworks, prompt engineering rigor, responsible AI (content safety, red-teaming, PII)
  • Azure landing zone fluency
  • GPS experience
  • MCT, MVP, or meaningful certs (AI-102, AZ-204, DP-700, Copilot certs)
  • Prior FDE experience at Palantir, OpenAI, Anthropic, or similar
  • Experience operating within hybrid onshore/offshore teams.
  • Familiarity with security, privacy, and compliance considerations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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