Join a team of IT experts
Careers at RHC
Build your career with an established IT consultancy that has solved hard technology problems for enterprises since 1994. We hire curious, accountable engineers and consultants across cloud, security, and continuity — and back them with continuous learning, global projects, competitive compensation, and the autonomy to do their best work.
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Find a role that matches your expertise and apply below.
8 open positions
Design and implement scalable cloud infrastructure solutions for enterprise clients.
About the role
Design and implement scalable cloud infrastructure solutions for enterprise clients.
Requirements
5+ years cloud infrastructure experience AWS/Azure/GCP expertise Terraform/CloudFormation Strong networking knowledge
Monitor, detect, and respond to security threats while implementing security best practices.
About the role
Monitor, detect, and respond to security threats while implementing security best practices.
Requirements
3+ years security experience CISSP or CEH certified SIEM tools experience Incident response expertise
Build and maintain CI/CD pipelines and automate infrastructure deployment processes.
About the role
Build and maintain CI/CD pipelines and automate infrastructure deployment processes.
Requirements
4+ years DevOps experience Kubernetes & Docker Jenkins/GitLab CI Python/Bash scripting
Lead IT transformation projects for enterprise clients from initiation to completion.
About the role
Lead IT transformation projects for enterprise clients from initiation to completion.
Requirements
PMP or equivalent 5+ years project management Agile/Scrum experience Excellent communication skills
Serve as the primary point of contact (L1) for our business and communication application users, delivering timely and professional support.
About the role
What You'll Be Doing: Own the Customer Experience: Serve as the primary point of contact (L1) for our business and communication application users, delivering timely and professional support. Investigate and Resolve: Efficiently troubleshoot, reproduce, and document customer issues end-to-end within our ticketing system. Drive Process Improvement: Identify and report on recurring technical issues, contributing insights to reduce future problems and enhance product stability. Build Knowledge: Maintain and expand our internal Knowledge Base and refine IT process templates for better team efficiency. Communicate Clearly: Translate complex technical issues into clear, actionable updates for customers, ensuring swift incident resolution.
Requirements
What You Bring to the Team: Experience: At least 1 year in a dedicated Technical Support, Helpdesk, or IT role. Technical Acumen: Proven ability to troubleshoot application workflows, understand business logic, and utilize tools like Google Chrome Developer Tools. Communication: Exceptional customer communication skills (written and verbal). Language: Professional working proficiency in English (B2/Upper-Intermediate or higher). Mindset: Highly reliable, organized, and detail-oriented, with the flexibility to cover shifts needed to support our LATAM client base. Great to Have (Bonus Skills): Familiarity with monitoring and logging tools such as Prometheus, Grafana, Kibana, or the ELK stack. Basic understanding of Jira, SQL, HTTP/API fundamentals, or VoIP systems. Experience with Kubernetes or general containerized environments.
You will lead the design and maintenance of mission-critical, real-time voice systems.
About the role
🎯 Your Impact: You will lead the design and maintenance of mission-critical, real-time voice systems. Your focus will be on ensuring unparalleled reliability, scalability, and security while enhancing voice quality and observability across our global cloud infrastructure. Key Responsibilities: Architect & Optimize: Design, develop, and maintain high-performance SIP and RTP-based VoIP systems, serving as the subject matter expert on core VoIP protocols. Deep Troubleshooting: Utilize expert-level skills to diagnose and resolve complex routing, codec, and signaling issues using packet captures (Wireshark), logs, and SIP traces. Protocol & Network Tuning: Proactively optimize network performance across critical protocols (SIP, RTP, TCP/IP, DNS, NAT, and firewall rules). Ecosystem Integration: Integrate, support, and ensure seamless interoperability between PBX systems, SBCs, and modern cloud VoIP environments. Quality Assurance: Define, monitor, and aggressively improve call quality metrics (MOS, jitter, latency) through proactive performance tuning. Feature Leadership: Lead the technical architecture and deployment of advanced voice applications, including real-time transcription, AMD/VMD (Answering Machine Detection), and next-generation AI-driven voice features. Escalation Point: Act as the final point of technical escalation for intricate VoIP incidents, effectively coordinating with internal teams and external vendors.
Requirements
⚙️ Technical Requirements: Experience: 6+ years in software engineering, with a minimum of 4 years dedicated to VoIP/SIP development. Core Platforms: Deep, hands-on experience with core VoIP infrastructure components, specifically Freeswitch and Kamailio. Programming: Proficiency in scripting and development with Lua and Python. (Experience with Go or C/C++ is a significant plus). Networking Expertise: Expert-level command of network protocols and advanced debugging tools (Wireshark, SIPp, libpcap, Linux/BSD sockets). Cloud & WebRTC: Practical experience with WebRTC, configuring and managing TURN/STUN servers, and deploying solutions on major cloud platforms (AWS, Google Cloud, Cloudflare). Hardware Familiarity: Understanding of traditional telecom hardware, including GSM, E1 gateways, and serial-connected devices. Scalability: Proven track record in building highly scalable systems and implementing effective automated testing frameworks. Desired Skills (Nice-to-Have): Hands-on knowledge of call flow simulation tools and SIP testing frameworks. Experience designing and implementing RESTful APIs and scalable microservices. Familiarity with global network routing principles and optimization techniques. Experience with embedded systems or SIP hardware devices. Background in implementing AI/ML-driven features within VoIP solutions.
We are building the intelligence layer for fragmented global markets.
About the role
Founding Engineer (Agentic Intelligence) We are building the intelligence layer for fragmented global markets. The world’s most valuable data isn't sitting in clean APIs—it’s trapped in thousands of unstructured open sources, from massive enterprise portals to obscure individual websites. We are building an autonomous agentic system that doesn't just crawl the web; it reads, reasons, and reports. As our first hire, you will move beyond simple ETL to architect a "market brain" that distills chaos into institutional-grade clarity. The Mission: Architect the Stack: Design the infrastructure for a system that interprets the web in real-time. Build the Engine: Create the core reasoning loops that allow our agents to navigate and analyze complex data environments. Lead the Evolution: Transition from lead builder to engineering leader as we scale the team and the product.
Requirements
From Zero to Intelligence 🏗️ Architect from 0 to 1 Design and deploy a scalable ingestion engine capable of normalizing millions of granular data points from hostile, anti-bot-protected web environments. You aren't just moving data; you are building a resilient nervous system for a "living" dataset. 🧠 Build the Hybrid AI Pipeline Agentic RAG: Orchestrate complex loops using LangGraph to autonomously ingest, verify, and "clean" unstructured market data. Analytical ML: Deploy regression models (PyTorch/Scikit-learn) to detect pricing anomalies and generate high-confidence market signals. 🔌 MCP & Graph Mastery Develop Model Context Protocol (MCP) servers that bridge the gap between our Next.js interface and our Knowledge Graph. You will enable our agents to query complex relationships fluently, turning a database into a conversational partner. 🛠️ The Tech Stack Data & Graph Layer: Neo4j/FalkorDB + Supabase (pgvector). You’ll map entities, stakeholders, and macro-trends into a multi-dimensional Knowledge Graph. ML Layer (Analytical): PyTorch/FastAPI hosted on Modal. Building predictive yield forecasting and automated valuation engines. LLM Layer (Semantic): Claude 3.5/GPT-5 + LangGraph. Driving agentic workflows for resilient data extraction and conversational search. 🚀 Scale the Team As the foundational engineer, you will set the standard. You’ll establish the engineering culture, define CI/CD pipelines, and lead the hiring process as we grow the team from 1 to 10+.
We are hiring a Senior LLM Systems / Agent Infrastructure Engineer to optimize and scale a production multi-agent LLM system that translates natural language into Cypher / SQL queries, executes guarded graph retrieval, and synthesizes structured RAG responses.
About the role
Job Description We are hiring a Senior LLM Systems / Agent Infrastructure Engineer to optimize and scale a production multi-agent LLM system that translates natural language into Cypher / SQL queries, executes guarded graph retrieval, and synthesizes structured RAG responses. You will engineer a faster, cheaper, and more reliable LLM system in production.
Requirements
What We’re Building A production multi-agent LLM system that: Converts Natural Language (NL) → Cypher (Neo4j) / SQL (PostgreSQL) Executes guarded graph queries Runs structured Retrieval-Augmented Generation (RAG) Orchestrates used tools What You’ll Own Cut NL → Cypher / SQL latency Optimize model routing & tool orchestration Replace unnecessary LLM calls with deterministic logic Redesign context strategy Evaluate / replace current LLM stack (Google ADK) Outcome: A faster, cheaper, and more stable pipeline. Required 5+ years backend / ML systems experience 2+ years production LLM pipelines experience Strong Python (async, FastAPI) Experience with agent frameworks (LangGraph, DSPy, Semantic Kernel, etc.) Structured outputs / function calling RAG over structured data LLM + SQL or graph DB integration Strong grasp of token economics & latency optimization Inference optimization (vLLM, batching, streaming)
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Global Team
Work with colleagues across 5 offices in North America, Europe and the Middle East with diverse backgrounds and expertise.
Learn moreContinuous Learning
Access to training, certifications, and conferences to stay current with technology trends.
Learn moreWork-Life Balance
Flexible schedules, remote work options, and generous PTO to maintain healthy balance.
Learn moreCompetitive Compensation
Market-leading salaries, performance bonuses, and comprehensive benefits packages.
Learn moreWhat We Value
- Technical excellence and continuous improvement
- Client-focused mindset and communication skills
- Collaboration and knowledge sharing
- Initiative and problem-solving ability
- Integrity and professional ethics