Phizenix

HQ
Livermore
9 Total Employees
Year Founded: 2025

Jobs at Phizenix

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Recently posted jobs

12 Days AgoSaved
In-Office
Reston, VA, USA
Artificial Intelligence • Information Technology • Consulting
Design, develop, test, deploy, and maintain scalable web applications and enterprise solutions using Python, React.js, Java, Spring Boot, databases, microservices, and AWS. Collaborate with Agile teams and technical and non-technical stakeholders to translate requirements into solutions. Participate in testing, code reviews, documentation, estimation, troubleshooting, architecture design, and Agile ceremonies while applying DevSecOps practices and AI-assisted development tools such as GitHub Copilot.
12 Days AgoSaved
In-Office
Reston, VA, USA
Artificial Intelligence • Information Technology • Consulting
Leads the design, development, deployment, and modernization of scalable enterprise applications and cloud-native solutions. Provides technical leadership, architects microservices and AWS solutions, oversees quality practices, code reviews, Agile and DevSecOps adoption, and translates business requirements into technical architectures. Mentors developers, supports project planning, resolves complex technical issues, and collaborates with stakeholders. The role requires extensive Python, React.js, Java, database, AWS, and AI-assisted development experience.
12 Days AgoSaved
In-Office
Reston, VA, USA
Artificial Intelligence • Information Technology • Consulting
Build and maintain secure cloud infrastructure, CI/CD pipelines, and infrastructure-as-code solutions. Automate security controls and deployment workflows across AWS or Azure using Terraform, Ansible, Docker, Kubernetes, Jenkins, and Spinnaker. Assess architectures for vulnerabilities, implement NIST 800-53 controls, troubleshoot infrastructure and security issues, and improve scalability, reliability, and delivery efficiency. The role also develops Python automation and uses AI-assisted tools such as GitHub Copilot.
12 Days AgoSaved
In-Office
Reston, VA, USA
Artificial Intelligence • Information Technology • Consulting
Supports secure cloud infrastructure, DevSecOps automation, and CI/CD pipeline operations. Responsibilities include maintaining AWS or Azure environments, deploying infrastructure as code with Terraform and Ansible, managing Docker and Kubernetes platforms, integrating security controls, identifying vulnerabilities, troubleshooting deployments, and supporting NIST 800-53 compliance. The role also develops Python-based automation and uses tools such as Jenkins, Spinnaker, GitHub, and GitHub Copilot.
Artificial Intelligence • Information Technology • Consulting
Develops Federal, State, and Local Government business by building relationships with agencies and prime contractors, identifying opportunities, managing the sales pipeline, and supporting capture and proposal activities. The role requires knowledge of government procurement regulations, contract vehicles, set-aside programs, budget cycles, and solicitation processes. Responsibilities include opportunity identification, teaming strategy, RFP/RFI/RFQ support, stakeholder engagement, industry-event representation, and collaboration with recruiting and delivery teams on staffing and professional-services solutions.
17 Days AgoSaved
In-Office
New York, NY, USA
Artificial Intelligence • Information Technology • Consulting
Lead the engineering replatforming of proprietary eDiscovery tools, making architecture, infrastructure, data modeling, and integration decisions while remaining hands-on in the code. Build scalable web applications, ingestion pipelines, Relativity integrations, and engineering foundations including CI/CD, testing, deployment, and security practices. Partner with product leadership, hire and mentor engineers, and guide platform modernization across legal technology, digital forensics, and investigations workflows.
23 Days AgoSaved
In-Office
Manhattan, New York, NY, USA
Artificial Intelligence • Information Technology • Consulting
Leads hands-on architecture, development, modernization, and deployment of scalable software platforms. Establishes engineering standards, reusable components, governance processes, and long-term technical direction. Mentors engineers, drives adoption of modern development practices and DevSecOps, collaborates with product owners and stakeholders, and provides technical leadership across cross-functional teams.
One Month AgoSaved
In-Office
2 Locations
Artificial Intelligence • Information Technology • Consulting
Lead design and verification of high-speed analog and mixed-signal circuits (ADCs, DACs, PLLs, TIAs, SerDes, optical drivers) through tape-out and post-silicon bring-up in advanced FinFET or SOI processes. Collaborate cross-functionally, create documentation, present to leadership, and mentor junior designers.
One Month AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Information Technology • Consulting
Senior individual contributor or technical lead designing and verifying high-speed analog and mixed-signal ICs (ADCs, DACs, PLLs, TIAs, laser/modulator drivers, SerDes). Drive transistor-level design and layout in advanced FinFET/SOI processes, lead pre-/post-silicon validation, collaborate with cross-functional teams, document results, and mentor junior designers.
One Month AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Information Technology • Consulting
Lead and execute analog/mixed-signal IC design for high-speed interconnects from architecture through tape-out and bring-up. Manage and mentor a design team, coordinate external contractors and IP vendors, design/verify SerDes front-ends, optical drivers, ADC/DACs, and transistor-level schematics in advanced FinFET/SOI nodes, drive pre-silicon simulation and post-silicon debug to meet PPA targets.
One Month AgoSaved
Remote
USA
Artificial Intelligence • Information Technology • Consulting
Lead product for workflow-focused AI features in a B2B SaaS insurance platform. Partner with users, GTM, and engineering to design, ship, and measure intelligent workflow automation, pilot deployments, and expansions to reduce manual effort and build trust in AI recommendations.