Provide security consulting focused on vulnerability assessment, AirWatch MDM and Symantec solutions; design and detail processes; develop/configure and validate deployments; manage projects and talent; work in a management consulting environment with regular travel.
Company Description
SonSoft Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. SonSoft Inc is growing at a steady pace specializing in the fields of Software Development, Software Consultancy, and Information Technology Enabled Services.
Job Description- At least 5 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes
- At least 4 years of experience in Vulnerability Assessment, Air-Watch MDM and Symantec Skills
- At least 3 years of experience in Development/ Configuration/solutions evaluation/ Validation and deployment
- Analytical and Communication skills
- project and talent management
- Experience with project management
- Experience and desire to work in a management consulting environment that requires regular travel
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience in IT Security Management.
Please Connect with me for US IT Direct Client Recruitments @ https://www.linkedin.com/in/hashamusitstaffing/
Additional Information** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.
Note:-
- This is a Full-Time & Permanent job opportunity for you.
- Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply.
- No OPT-EAD, H1B & TN candidates, please.
- Please mention your Visa Status in your email or resume.
** All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, optimize, and support production AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Lead architecture and cost-performance optimization across scalable AI platforms, establish engineering standards, contribute to long-term technical roadmaps, and mentor senior AI engineers.
Top Skills:
Agentic AiAWSAws UltraclustersAzureC#C++CudaGenerative AiGoGCPHugging FaceJavaLarge Language ModelsMlxModel CompressionMulti-Agent WorkflowsPythonPyTorchRetrieval-Augmented GenerationScalaSimilarity SearchVectordbs
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied AI research and lead development of foundation models from design through deployment. Partner with data scientists, engineers, and product managers to deliver scalable AI products. Research large deep learning models, optimization, self-supervised learning, robustness, explainability, and reinforcement learning from human feedback. Lead research initiatives, translate findings into production systems, and guide junior researchers or engineers.
Top Skills:
Aws UltraclustersDglHugging FaceLightningPyTorchPytorch Geometric
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, and optimize large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and multi-model orchestration. Lead cost-performance governance, technical design reviews, AI engineering standards, and long-term platform strategy. Apply state-of-the-art optimization techniques to improve model scalability, latency, throughput, hardware utilization, and cost. Mentor senior technical leaders and collaborate with engineers, scientists, product managers, and program managers.
Top Skills:
AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaPythonPyTorchScalaVectordbs
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

