Frequencycx
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Kubernetes
grafanaRole Overview
We are looking for a skilled Systems Engineer with strong expertise in Ansible automation, Kubernetes, and system-level scripting. This role focuses on building scalable automation and managing GPU-aware infrastructure.
Key Responsibilities
- Develop and maintain automation workflows using Ansible
- Write and optimize Ansible playbooks for infrastructure and application deployment
- Automate system-level tasks using Bash scripting
- Debug and test automation workflows for reliability and scalability
- Manage Kubernetes clusters, including:
- Pod lifecycle management
- Networking and firewall configurations
- GPU resource mapping and scheduling
- Custom Resource Definitions (CRDs)
- Collaborate with engineering teams to integrate automation into CI/CD pipelines
- Ensure secure and scalable infrastructure for AI workloads
Requirements
- Strong hands-on experience with Ansible and automation workflows
- Solid Linux system administration experience
- Proficiency in Bash scripting
- Deep understanding of Kubernetes (pods, networking, CRDs, GPU scheduling)
- Experience in debugging and optimizing automation systems
- Strong problem-solving and ownership mindset
Nice to Have
- Experience with GPU workloads or HPC environments
- Exposure to monitoring tools like Prometheus and Grafana
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We are hiring a Principal Engineer – Physical Design to lead end-to-end implementation of advanced-node SoCs (7nm and below), from RTL to GDSII.
Key Responsibilities:
- Lead SoC / full-chip physical design and integration
- Drive floorplanning, partitioning, and P&R (APR)
- Define chip-level architecture for performance, power, and area
- Own clocking strategy, power planning, and dataflow
- Handle IO ring design, bump planning, and package co-design
- Ensure physical verification closure (DRC, LVS, DFM)
- Develop and own P&R flows and methodologies
- Collaborate with cross-functional teams (architecture, RTL, packaging)
- Mentor junior engineers and lead execution
Requirements:
- 15+ years in VLSI Physical Design
- Experience in 7nm or below technology nodes
- Strong expertise in floorplanning, STA, and P&R
- Hands-on with tools like ICC2 / Innovus / PrimeTime
- Experience in full-chip SoC tape-outs
- Strong understanding of ESD, latch-up, and foundry rules
- Experience with package integration and RDL is a plus
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💡 The Role
We’re hiring a Revenue Operations Specialist who will act as the backbone of our go-to-market engine.
This is a builder role — not a maintenance role. You’ll design systems, automate workflows, and implement AI-driven processes across Sales, BD, and Marketing.
🤖 What You’ll Do
• Build AI agents and automation workflows across the revenue stack
• Use tools like Zapier, Make, n8n, Clay, and LLM-based workflows
• Own CRM (HubSpot/Salesforce) including structure, hygiene, and reporting
• Build dashboards to track pipeline health and performance
• Manage integrations across CRM, enrichment, outreach, and analytics tools
• Design lead lifecycle processes from acquisition to conversion
• Ensure seamless coordination between Sales, BD, and Marketing
🧠 Who You Are
• 3–5 years in Revenue Ops / Sales Ops / GTM Ops
• Strong CRM experience (HubSpot or Salesforce)
• Hands-on or strong interest in AI workflows and automation
• Experience with tools like Zapier, Make, n8n, Clay, Apollo, Outreach
• Strong analytical and systems-thinking mindset
• Startup-ready: self-driven, fast, and comfortable with ambiguity
• Clear communicator who can document and simplify processes
✨ Nice to Have
• Experience with AI/LLM tools or APIs
• Background in B2B SaaS or startup environments
• Experience with lead scoring or enrichment tools
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PythonRole Overview
We are looking for an Automated QA Test Engineer (3–4 years experience) to design and implement
automated testing frameworks that ensure the quality and reliability of Hosted.ai’s core platform. The ideal
candidate will have hands-on experience with Pytest, Python scripting, and test automation systems,
along with the ability to architect test harnesses, plan test coverage, and triage bugs effectively.
Key Responsibilities
● Design and develop automated test frameworks and test harness logic.
● Implement end-to-end, integration, and regression tests using Pytest and Python.
● Define and execute test coverage plans for critical components of the platform.
● Conduct bug analysis, triage, and root cause identification in collaboration with
engineering teams.● Ensure tests are reliable, repeatable, and integrated into CI/CD pipelines.
●Continuously improve test automation practices and tooling.
● Document test strategies, results, and defect reports clearly.
Requirements
● 3–4 years of experience in software QA, with a focus on test automation.
● Strong background in manual testing.
● Strong hands-on experience with Pytest for UI and end-to-end testing.
● Proficiency in Python coding for test development and scripting.
● Experience architecting test harnesses and automation frameworks.
● Familiarity with CI/CD pipelines and version control systems (Git).
● Solid understanding of QA methodologies, test planning, and coverage
strategies.
● Strong debugging, analytical, and problem-solving skills.
Nice to Have
● Experience testing distributed systems, APIs, or cloud-native platforms.
● Exposure to performance/load testing tools.● Familiarity with Kubernetes, containers, or GPU-based workloads.
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