The Job logo

What

Where

Lead Networking Engineer

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
Provide Tier 2 and Tier 3 support, assist with project implementation, provision and maintain system hardware, software, and related infrastructure. Troubleshoot network issues, maintain network health, and ensure system performance. Evaluate user needs and recommend hardware and software purchases. Knowledge of network security procedures and best practices. Obtain relevant industry certifications. Excellent documentation skills required.

Job description 

What success looks like in this role:

 

• Provides Tier 2 and Tier 3 support and assists with some project implementation within the networking environment. • Successful provisioning as well as supervision of, installation/configuration, operation, and maintenance of systems hardware, software, and related infrastructure. This also includes the Installation of new systems, rebuilding existing systems, configuration of hardware, peripherals, services, settings, directories, storage, etc. in accordance with customer/ government standards. • Configuration management of Local Area Networks (LANs), Wide Area Networks (WANs), network segments, and Internet and Intranet systems to ensure operability. Installation and maintenance, network hardware and software, analyze problems, and monitor networks to ensure their availability to users. • Maintains, monitors and troubleshoots within the roles of Incident Management (Return-to-Service) and/or Problem Management (Reason for Outage). • Evaluates a system’s performance and identifies user needs based on approved software per customer specifications. • Supports acquisition of hardware and software as well as subcontractor services as needed. • Works independently on specific projects or may act as lead or Project Manager or a technical consultant where experience and knowledge span multiple projects. • Ensures all design decisions are evaluated analytically and in a systematic manner in accordance with approved technical approaches, processes and procedures. • May provide supervision and guidance for one or more team members including task and work product deliverables. • Works closely with network operations, systems and other groups on business projects, assignments, problems, etc. • Develops advanced technological ideas and guides their development to a final product or solution. • Ensures proper documentation for the corporate knowledgebase, including design, procedural and lessons learned. This also includes maintaining and updating existing documentation. • Monitors the Network and System Enterprise with provided tools to ensure the health of the critical client solutions. • Maintains on-call availability to respond to network issues and up-time; must be flexible and available with the scheduling. • Contributes to technical artifacts through team/program SharePoint and/or communities of practice.

#LI-CM1

 

 

You will be successful in this role if you have:

• University degree or equivalent education and experience. • Minimum of 8 years domain experience. • Advanced knowledge in evaluating vendor products and making recommendations to purchase hardware and software. • Knowledge in setting up administrator and service accounts. • Knowledgeable in network security procedures, best practices, and implementation. • Ability to troubleshoot software issues and customer applications as required. • Has achieved industry standard certifications: e.g.: Security+, CCNP, CCNA, Network+, MCSA. • Excellent documentation skills are required.

Set alert for similar jobsLead Networking Engineer role in Bengaluru, India
Unisys Logo

Company

Unisys

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

8-12 Years

Category

Software Engineering

Locations

Bengaluru, Karnataka, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

Related Jobs

Unisys Logo

Lead Data Engineer

Unisys

Bengaluru, Karnataka, India

Posted: a year ago

The Lead Data Engineer is a key contributor to building, maintaining, and optimizing global BI and Analytics solutions across multiple business lines. They will take a technical lead in the design, development, delivery, and maintenance of data extract, load, and transformation (ELT/ETL) pipelines and data flows to ingest data from multiple heterogeneous sources. In addition, they will assist the project delivery team with scoping and planning integration projects and contribute to the design, implementation, and support of the data artifacts in the data lake and database. They will also leverage their knowledge and experience to coach and mentor colleagues to engender good data engineering practices across the team.

Unisys Logo

Generative AI Lead Engineer

Unisys

Bengaluru, Karnataka, India

Posted: a year ago

Job description  What success looks like in this role:   As a Generative AI Lead Engineer, you will be at the forefront of advancing artificial intelligence technology. Your primary responsibility will be to lead a team of highly skilled engineers, researchers, and developers in the design, development, and deployment of state-of-the-art generative AI models and applications. Your leadership will be instrumental in driving innovation and pushing the boundaries of what AI can achieve in content generation, creativity, and problem-solving.       Team Leadership: You will be tasked with not only managing your team but also inspiring and guiding them to excel in their roles. Your leadership will be essential in fostering a collaborative and innovative environment where ideas flow freely, and team members are motivated to push the envelope of what generative AI can do. Research and Development: Staying at the cutting edge of AI research is a key part of your role. You will lead research initiatives to explore new techniques, algorithms, and approaches in generative AI, ensuring that your team remains at the forefront of this rapidly evolving field. Your work will contribute to breakthroughs in AI technology. Project Management: You will oversee multiple projects concurrently, managing timelines, resources, and budgets. Collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be crucial to define project goals and ensure successful execution. Algorithm Optimization: Efficiency, scalability, and performance are paramount in generative AI. You will be responsible for optimizing generative models, ensuring they are both powerful and efficient. Rigorous testing and debugging will be necessary to maintain the reliability and robustness of these models. Quality Assurance: Your role will include establishing and upholding rigorous quality standards for generative AI outputs. This will involve developing testing and validation procedures to guarantee the high quality of generated content or solutions. Documentation and Reporting: Clear documentation of research findings, algorithms, and code is essential for both internal and external stakeholders. You will prepare comprehensive reports and presentations to communicate your team's progress and findings effectively. Collaboration and Communication: Collaboration is at the heart of this role. You will work closely with cross-functional teams, translating complex technical concepts into understandable insights for both technical and non-technical colleagues. Compliance and Ethics: Ensuring that generative AI systems adhere to ethical guidelines and legal requirements is a vital aspect of this role, especially when working in areas with sensitive applications. Your leadership in ethical AI practices will be essential.   #LI-BN1     You will be successful in this role if you have: Qualifications: Your educational background should ideally include a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A minimum of 8-10 years of experience within the engineering organization with high-level expertise Proven hands-on experience in generative AI, deep learning, and natural language processing is a must, showcasing your expertise in the field. Strong hands-on programming skills in languages like Python, TensorFlow, PyTorch, or similar are necessary to lead technical teams effectively. Experience in leading and managing technical teams is vital, as you'll be responsible for guiding your team to success. Strong problem-solving and analytical skills will aid you in addressing complex challenges. Excellent communication and presentation skills are essential to convey your ideas and findings effectively. Knowledge of ethical AI principles and best practices is crucial to ensure responsible AI development. Your adaptability to evolving technologies and research is important in keeping your team at the forefront of generative AI advancements. Preferred Qualifications: If you have published research in relevant AI conferences and journals, it demonstrates your contributions to the field. Certification in AI domain will be added advantage. Experience with cloud-based AI services and platforms showcases your familiarity with modern AI infrastructure. Familiarity with generative adversarial networks (GANs), recurrent neural networks (RNNs), and transformers indicates your depth of knowledge in generative AI techniques. Experience in working with large datasets and distributed computing is a valuable asset. Knowledge of industry-specific applications for generative AI, such as content generation, creative design, or natural language generation, can be a significant advantage in certain roles.