Senior Network Engineer (Lead) Job at Piper Companies (Newton)

Senior Lead Software Engineer, Full Stack (Global Payment Network)

Senior Lead Software Engineer, Full Stack (Global Payment Network) Do you love ...

Location

United States , Riverwoods, Illinois; McLean, Virginia; Houston, Texas

Salary:

Not provided

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Lead Software Engineer, Full Stack (Global Payment Network)

Senior Lead Software Engineer, Full Stack (Global Payment Network) Do you love ...

Location

United States , Riverwoods; McLean

Salary:

209000.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Lead Software Engineer, Full Stack (Global Payment Network)

At Capital One, you'll be part of a big group of makers, breakers, doers and dis...

Location

United States , Riverwoods; McLean; Houston

Salary:

209000.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Engineer / Lead Engineer - Virtual Engineering - AI CAE

Senior Engineer / Lead Engineer – AI CAE will Drive AI innovation in CAE analysi...

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar.
5+ years experience in CAE at Automotive Product Development / Manufacturing Engineering.
3+ years' experience in implementing AI solutions in CAE
Should have executed at least 5+ years of Core CAE domain (from problem definition to deployment) experience.
Strong programming skills in Python, MATLAB, CAE tool-specific APIs (Altair suite, NASTRAN, ANSYS APDL, Abaqus etc.), workflow automation.
Experience with ML frameworks like Pytorch, TensorFlow.
Understanding of data annotation tools and MLOps workflows.
Experience in data handling and feature engineering.
Strong problem-solving and analytical mindset.
Experience in domain-specific AI use cases (manufacturing, automotive, etc.).

Job Responsibility

Collaborate with stakeholders to understand business problems in the CAE domain and translate them into AI solutions.
Design, develop, and fine-tune AI/ML models for Simulation result prediction and design optimization, Automating repetitive CAE tasks (meshing, boundary conditions, post-processing).
Evaluate, validate, and benchmark model performance using appropriate metrics.
Deploy AI models into production environments in collaboration with IT/AI teams.
Establish monitoring and maintenance processes to ensure model accuracy over time.
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements.
Document workflows, results, and lessons learned for organisational knowledge sharing.
Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques.

Fulltime

Senior Network Engineer / Network Manager

Join an industry leader with over 30 years of heritage in delivering cutting-edg...

Location

United Kingdom , Hertfordshire

Salary:

65000.00 - 75000.00 GBP / Year

Dynamic Search Solutions

Expiration Date

Until further notice

Requirements

CCNA certification is essential
CCNP or equivalent experience is highly desirable
Expert knowledge of VLANs, Trunking, STP, DHCP/DNS, and Routing (OSPF/BGP)
High-level firewall configuration (Cisco, Fortinet, etc.)
Enterprise Wi-Fi deployment (Ekahau)
Multi-WAN/SD-WAN solutions (Peplink, Celerway) and VSAT integration
Awareness of AV-over-IP (Multicast/IGMP)
Physical layer experience (Fiber optics)
Calm under pressure in high-expectation, luxury environments
Travel ready to work internationally

Job Responsibility

Design & Strategy: Consult on network architecture for elite, high-stakes environments
Deployment: Configure and commission routing, switching, Wi-Fi, firewalls, and WAN
Leadership: Manage and coach a team of engineers
Client Interface: Act as the technical face of the company with owners’ reps, architects, and third-party contractors
Quality Assurance: Own the final sign-off, from fault-finding to as-built documentation
Lead the gap between design and delivery
Travel internationally to top shipyards and luxury sites to finalize, test, and hand over flawless systems

What we offer

Overtime: Generally 5–10%, paid at 1.5x after 8 hours
Travel Perks: All accommodation paid + €40 per stay subsistence allowance
Holidays: 20 days + Bank Holidays + additional 3-4 days for Christmas closure
Future Growth: Clear path to building out and scaling the department

Fulltime

Senior Engineer / Lead Engineer - Virtual Engineering - AI CFD

Senior Engineer / Lead Engineer – AI CFD will Drive AI innovation in CFD domain....

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
5+ years experience in CFD at Automotive Product Development / Manufacturing Engineering
2+ years experience in implementing AI solutions in CFD
Should have executed at least 5+ years of Core CFD domain (from problem definition to deployment) experience
Strong programming skills in Python and C++ for automation and solver integration
Experience with ML frameworks like Pytorch, TensorFlow
Knowledge of surrogate modeling, reduced-order modeling (ROMs), and regression techniques
Experience in data handling (large-scale CFD datasets) and feature engineering(feature extraction from flow fields like velocity, pressure, turbulence quantities)
Strong problem-solving and analytical mindset
Understanding of data annotation tools and MLOps workflows

Job Responsibility

Collaborate with stakeholders to understand business challenges in the CFD space and solve them using API based customization and AI methodologies
Collect, clean, annotate, and prepare datasets for text analysis and image comparison tasks
Design, develop, and fine-tune AI/ML models for: Automating mesh generation, solver setup, and post-processing of CFD results
Building optimization pipelines for thermal and fluid systems using AI-assisted approaches
Evaluate, validate, and benchmark model performance using appropriate metrics
Deploy AI models into production environments in collaboration with IT/AI teams
Establish monitoring and maintenance processes to ensure model accuracy over time
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
Document workflows, results, and lessons learned for organizational knowledge sharing
Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques

Fulltime

Senior Software Engineer - Network Engineer

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions t...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter
7+ years of professional experience in software/network engineering roles, with a focus on cloud networking and network security
Demonstrated history of handling enterprise network deployments and support
Deep knowledge of Microsoft Azure networking components – including Virtual Networks, subnets, VPN Gateways, ExpressRoute circuits, network security groups (NSGs), and load balancers
Ability to design and manage Azure network architectures for high availability and security
Demonstrated experience implementing high-availability network architectures and expertise with dynamic routing protocols like BGP to ensure optimal path selection and network redundancy
Familiarity with techniques such as BGP route prepending and advertising more specific routes to prefer one path over another for failover is essential
Proven communication skills with an ability to work cross-functionally

Job Responsibility

Design, implement, and manage Azure network infrastructure: Build and maintain Azure virtual networks, secure HRE network segments, and connectivity solutions to ensure high availability, scalability, and robust security
Network Security & Infrastructure Management: Configure and administer network firewalls and proxy servers, VPN, enforce security policies, and monitor network traffic to protect critical systems and data
Automation & Deployment: Develop automation scripts and tooling (e.g., PowerShell, Python, Bicep) to streamline network configurations, deployments, and monitoring to remove person dependency. Lead the deployment of network updates and infrastructure changes, implementing infrastructure-as-code practices for consistency and efficiency
Incident Response: Serve as the Tier 3 escalation point for complex network and infrastructure incidents. Perform in-depth troubleshooting and root-cause analysis for issues related to Azure networking, HRE connectivity, firewall/proxy configurations, and system performance. Ensure timely resolution of incidents to minimize downtime and impact on users
Performance Optimization & Compliance: Continuously analyze network performance and security postures. Implement optimizations to improve throughput, reliability, and security. Ensure all network changes and operations comply with organizational security standards and regulatory requirements

Fulltime