Looking for CTO / Technical Director for an AI+IoT Startup (Remote, Equity)

@sptechnocrats

With over eleven years of proven delivery and 250+ experienced engineers, I am confident that my team at Shanti Infotech will be the ideal choice to lead your AI+IoT startup into its next stage. We specialize in creating scalable, high-performance digital products built with a long-term partnership mindset. In addition to our broad range of technical proficiency, we have a demonstrated history of successful product strategy in complex industries that aligns perfectly with the needs of OctaSence. My team's comprehensive skillset includes a deep understanding of AWS, which will be crucial for the scalability needs you anticipate in new markets like Australia and Europe. Moreover, we've done significant work in edge computing (C/Rust/Python) and developing cloud platforms that effectively manage massive volumes of data. These competencies will ensure architectural reliability, security, and scalability as your startup expands its pilot projects. We are comfortable working remotely across various time zones and have practiced CI/CD throughout our 2,500+ projects delivered globally. Thus, we are well-equipped to manage your distributed technical team effectively. Lastly, at Shanti Infotech, we don't just provide solutions; we build reliable systems and strong partnerships through our dedication and clear communication. This is a unique opportunity to prevent disasters through innovative technology, and we’re passionately excited to be a part

@irsolutions

With over a decade of experience in leading technical development for high-scale systems, I understand the crucial need for a skilled CTO/Technical Director to drive the growth of your AI+IoT startup. Your project goal of spearheading technical development, ensuring architectural reliability, and scaling into new markets aligns perfectly with my background in handling complex systems for high-security FinTech and AI projects. A strategic insight for ensuring scalability and security in your project is to prioritize edge buffering and time-series anomaly detection, alongside implementing robust microservices using technologies like Kafka. My success in building and scaling Telegram Mini Apps serving over 1 million users showcases my ability to handle projects of this magnitude with ease. I encourage you to reach out so we can discuss how I can contribute to the success of your startup. I am excited about the opportunity to collaborate on such an innovative project and help create a product that can truly make a difference in preventing disasters.

@Creationarts

Hello, As a CTO with over several years of experience specializing in cutting-edge technologies, I am uniquely qualified to lead and scale your AI+IoT startup. I've built commercial grade IoT products from scratch, starting from minimum viable products (MVPs) and successfully transitioning them into large scale deployments. With hands-on proficiency in the tools and protocols vital for your venture like LoRa, Modbus, MQTT, edge buffering (C/Rust/Python), time-series anomaly detection, microservices (Kafka), cloud (AWS), CI/CD, security (TLS, OWASP), I can ensure architectural reliability, security and scalability. A key aspect you're looking for is the ability to coordinate a distributed technical team and mentor developers. Well, I've not only led teams of up to 15 engineers but also have specific experience working remotely across different time zones. Furthermore, my knack for hiring and mentoring the right talent is something that can greatly benefit your organization's planned expansion to employing 5-7 people. In addition to my technical proficiencies, what sets me apart from others is my genuine interest in your project's objectives. Above all, I resonate with your mission of building a product that prevents disasters. My goal-oriented approach combined with my adaptability and strategic mindset make me an ideal candidate for the role you're offering. Lastly, given the nature of this partnership role without a fixed salary Thanks!

@OlektraGroup

Hi, you’re looking for a technical leader to bridge the gap between high-level AI models and the physical constraints of an IoT-enabled industrial environment. You need a CTO who understands that deploying computer vision at the edge requires balancing inference speed with hardware-specific limitations. At Olektra AI, I managed this exact transition by deploying real-time defect detection pipelines directly onto manufacturing floor hardware. I specifically utilized TensorRT optimization for NVIDIA Jetson modules, which reduced our latency by 40% while maintaining 98% detection accuracy in high-speed production lines. I don’t just build models; I build reliable, industrial-grade infrastructure that survives the factory floor. Since your focus is on scaling this startup, what is the primary hardware architecture or edge gateway environment you are currently targeting for your initial deployments?

@Feriver

Hello, I am interested in the CTO role for OctaSence’s AI+IoT scale-up. I specialize in leading architecture from MVP to production across IoT edge, cloud, and AI-driven industrial systems, with a strong focus on reliability during real-world pilot deployments and scale-up phases. I can lead end-to-end system design covering MQTT/edge data pipelines, time-series anomaly detection, microservices architecture, and secure cloud infrastructure (AWS). My focus is on scalability, high availability design, and security compliance (TLS, OWASP), along with effective coordination of distributed engineering teams across Europe and Asia time zones. I will help define the technical roadmap, stabilize current pilot deployments, and close critical architectural gaps required for scaling. I can also support team expansion (5–7 engineers), implement CI/CD and observability standards, and establish structured hiring and mentorship processes aligned with a long-term equity partnership model. What is the current tech stack and the primary bottleneck in your active pilot deployments? What does the current engineering team look like, and which key roles are already filled? Thanks, Asif

@Aaleen110

Having steered several deep-tech products from initial prototyping to market-ready deployments, I understand the unique friction points inherent in scaling AI within an IoT ecosystem. My background includes architecting systems where low-latency data streams meet complex predictive models, similar to the challenges your startup is likely navigating in this growth phase. I am not just focused on the code, but on building a sustainable technical culture that balances rapid feature iteration with the rigorous stability required for hardware-integrated software, ensuring that your technical foundation is built for both performance and investor-ready scalability. My approach centers on a "secure-by-design" architecture, utilizing MQTT or WebSockets for efficient device communication and containerized backend services—typically via AWS IoT Core or Azure IoT—to ensure seamless data orchestration. I implement Edge AI strategies using frameworks like TensorFlow Lite or NVIDIA TensorRT to minimize bandwidth costs and improve real-time response times for your end-users. By establishing a robust CI/CD pipeline for both cloud services and over-the-air (OTA) firmware updates, I ensure the platform remains agile and capable of pivoting as the market demands, while maintaining a high standard for data integrity and security across the entire hardware-software stack. Regarding the current roadmap, are you currently optimizing for on-device inference to reduce cloud overhead, or is the focus primarily on centralized data processing? I am also curious about the specific hardware stack you have selected and how far along the prototype-to-production journey you currently are. If you are looking for a partner who can bridge the gap between technical execution and strategic business growth, I would be happy to hop on a call to explore how we can align on the vision and the equity structure for this leadership role.

@vishal1145

Your LoRa edge buffering strategy will fail during network outages if you're not implementing local persistence with write-ahead logging. I've seen pilots collapse when sensors lose connectivity for 6+ hours and data gets dropped instead of queued. That's the difference between a demo and a production system that prevents actual disasters. Before architecting the platform, I need clarity on two things: What's your current edge-to-cloud sync protocol when LoRa gateways go offline for extended periods? And are your anomaly detection models running inference locally on constrained devices or pushing raw telemetry to cloud for processing? Here's the technical approach: - LORA + MODBUS: Build edge agents in Rust with SQLite-backed queues that survive power cycles and sync intelligently when connectivity returns, preventing data loss during mining site outages. - TIME-SERIES ANOMALY DETECTION: Implement lightweight LSTM models that run on-device for real-time alerts, with cloud-based retraining pipelines using Kafka streams to improve accuracy as you scale pilots. - AWS + MICROSERVICES: Design event-driven architecture with Lambda for ingestion, Timestream for telemetry storage, and SQS for decoupling services so one failing component doesn't cascade failures across infrastructure monitoring. - SECURITY + TLS: Enforce mutual TLS between edge devices and cloud, implement certificate rotation automation, and build threat models that account for physical tampering in remote industrial sites. - CI/CD + TEAM SCALING: Set up GitLab pipelines with automated testing for embedded code, establish code review standards, and create technical onboarding docs so new hires contribute within 2 weeks not 2 months. I've led technical teams at 3 IoT startups from MVP through commercial deployment, including one that scaled to 12K connected devices across mining operations. I don't take equity roles where the technical foundation isn't solid. Let's schedule a 30-minute call to discuss your current architecture gaps and whether this partnership makes sense for both sides.

@alizain721

Love that you’re already in active pilots with mining and transport customers — that’s where the hard requirements show up first. The real challenge isn’t just adding features; it’s hardening the whole stack so edge devices, ML metrics, and cloud services survive in hostile field conditions and strict regional compliance regimes as you scale to Australia and Europe. I recently served as technical lead for a mining IoT pilot: designed LoRa device onboarding, implemented edge buffering in Rust/Python, built a Kafka-based telemetry pipeline on AWS, and drove the HA and security work needed to move from pilot to paid deployments. I’d start with a rapid architecture audit (edge runtime, buffering, telemetry, HA), prioritize closing the top 3 gaps (HA, AI metrics, threat model), and set up CI/CD and hiring specs so you can expand the team safely. I’ll mentor hires and own delivery until stability. Quick question: which pilot currently exposes the biggest technical risk — uptime, data quality for the AI, or security/compliance?

@toriquldev123

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@SmartCodeDev

Hey, this is exactly the kind of build I like: early-stage, real-world impact, and messy technical gaps to solve. I’ve led systems from MVP to pilot scale in IoT + cloud setups, especially where edge reliability and data integrity matter. On the edge side, I usually structure things with lightweight services (C/Rust or Python depending on constraints) handling buffering + retry logic, then stream through MQTT into a backbone (Kafka) for decoupled processing. For industrial protocols like Modbus/LoRa, I focus on normalization early so downstream analytics don’t become a mess later. On cloud, I’d shape this into a microservices setup on AWS with strong observability (metrics + tracing from day one), proper HA design, and a clean CI/CD pipeline. For anomaly detection, I prefer starting simple (statistical + time-series baselines) and layering ML once data quality is stable — avoids false confidence early. Security-wise, I design assuming hostile environments: TLS everywhere, device auth, and OWASP-aligned backend practices, plus a proper threat model before scaling pilots. I’m comfortable building and leading a small distributed team, hiring as needed, and staying hands-on in critical parts (architecture, edge pipeline, data layer). Happy to dig into what’s already built at OctaSence and map out gaps + next steps. Equity-based is fine if the direction and ownership are clear

@MIndlabsAi6

Hello, I am Vishal Maharaj, with 20 years of experience in Python, Amazon Web Services, and Logo Design. I have carefully reviewed the requirements for the CTO/Technical Director position for the AI+IoT startup. To address the project needs, I will lead the technical development of the product, coordinate the distributed technical team, ensure architectural reliability, security, and scalability, and actively participate in pilot projects to close critical technical gaps. My expertise in IoT, AI, cloud platforms, and team leadership aligns well with the requirements. I am confident in my ability to contribute effectively to this project and would love to discuss further details. Please initiate the chat to explore how we can collaborate successfully. Cheers, Vishal Maharaj

@mugencodes

Hello, As a seasoned technical leader with a strong background in AI and IoT, I understand the critical role a CTO plays in steering a startup towards success. Your project with OctaSence aligns perfectly with my expertise in leading technical development, coordinating distributed teams, and ensuring architectural reliability. I have hands-on experience with the technologies crucial to your project, including LoRa, Modbus, MQTT, edge buffering, time-series anomaly detection, microservices, cloud platforms like AWS, and security protocols. My previous roles as a CTO and Senior Architect in IoT/AI startups have equipped me with the skills needed to drive innovation and scalability. I am confident in my ability to not only fill the technical leadership role but also to contribute towards the growth and success of your project. I am excited about the opportunity to work with a forward-thinking team and build a product that has a real impact on preventing disasters. Best regards, Jayabrata Bhaduri

@ersagar

I believe I am a strong fit for this role based on my experience leading end-to-end technical development across IoT, cloud platforms, and scalable software systems. Already working in a similar environment. I currently operate in a senior technical leadership capacity, where I drive architecture, product execution, team coordination, and delivery of business-critical systems. My background includes building and scaling platforms from concept/MVP stage to production environments, with a strong focus on reliability, performance, and maintainability. Overall, my broad skill set in Python, Django, Flask, API development, web development, IoT, and embedded systems, coupled with my experience with protocols like Modbus, UART, and Analog, as well as my familiarity with technologies like REDIS, MQTT, WebSockets, *Nix, AWS, and OpenStack, positions me as a versatile and capable developer for tackling complex projects in various domains.

@rbtech1984

Hello There!!! ★★★★ ( CTO / Tech Lead – AI + IoT Platform ) ★★★★ Project understanding: I understand you are seeking a CTO-level technical leader for an AI + IoT startup (OctaSence) to lead architecture, scale the system, manage distributed team, and support real industrial pilots. Focus is on AI, edge computing, cloud, and secure scalable infrastructure. Services ⚜ CTO / Technical leadership for AI + IoT systems ⚜ Architecture design for scalable microservices & cloud ⚜ IoT protocols integration (MQTT, Modbus, LoRa) ⚜ Edge + AI data processing pipelines ⚜ AWS cloud infrastructure & CI/CD setup ⚜ Security, threat modeling & reliability systems ⚜ Team hiring, mentoring & technical roadmap I have experience working with distributed systems and backend architectures using Python and cloud services, and I can contribute in shaping scalable IoT-AI ecosystems with practical engineering approach. I would like to understand current pilot stage and tech stack so we can align roadmap clearly. Warm Regards, Farhin B.

@securetechs

the lora + ai combo is interesting, most iot startups skip lorawan and end up rebuilding everything at scale. i can cover the full stack: python for the ai layer, rust for the firmware side, microservices on aws for cloud. that covers exactly what you listed. what stage is the startup at right now, do you have a hardware prototype or is this still in the design phase? that changes what the cto role needs from day one. can jump on a call this week.

@engruhulajom

Hello Dear! Good Day! Hope you are doing fine. This is Ruhul Ajom Sagor. I am an expert "Web Developer" with 10+ years of working experience in PHP, HTML5, CSS3, JavaScript, jQuery, Bootstrap, MySql and different Frameworks. I have completed my B.S.C Engineering in Computer Science and Engineering (CSE) from BUET. Hire me and you don't have to worry about your website problems again! I'll add value to your projects by creating astonishing designs and code with high impact and optimized user interaction that leads to bigger conversions. WHAT PROBLEMS CAN I HELP YOU SOLVE? • Custom Websites Using PHP and Frameworks • e-Commerce Websites (Woo-Commerce and Shopify) • Custom WordPress themes • On-Page and Off-Page SEO • WordPress themes Customization • Database Modeling/Development • WordPress migrations and upgrades • Responsive Coding (Make your website compatible with: smartphones, tablets, desktops) • Websites speed and loading time improvements • Cross-browser compatibility • PSD to HTML to WordPress conversion • HTML5/CSS3/jQuery websites based on Bootstrap I love challenges, talking to my clients, and meeting others’ standards as well as expectations. I will be discussing everything in detail, giving my full advice and delivering through best of my skills. You are cordially welcome to discuss your project. Thank You! Best Regards, Ruhul Ajom

@wasifmuneer

Hi there, I’d be happy to discuss your project—feel free to start a chat anytime. I’m a full-stack developer with solid experience building scalable web and desktop applications, and I’m confident I can deliver your project efficiently and on time. I also have strong exposure to modern technologies including Web3 concepts, DevOps practices, and automation. I’m a Kubernetes enthusiast with hands-on experience using Docker containers and deploying applications on Linux servers. My expertise includes: MERN / MEAN Stack (development + team management) .NET Core APIs with Angular, including D3.js data visualizations Azure Logic Apps, SharePoint, and workflow automation (PowerApps familiarity) Salesforce development with Apex, Visualforce, and integrations via .NET APIs DevOps basics, containerization, and application hosting on Linux Automation workflows and AI-based tools to improve efficiency I bring a problem-solving mindset and full project lifecycle experience—from development to deployment. Looking forward to hearing from you. Thank you!

@dyjibran

As a seasoned System and Network Administrator with solid experience in designing and managing efficient computer networks, I am the perfect candidate for the CTO/Tech Director position at OctaSence. My proficiency in Amazon Web Services (AWS) aligns well with your cloud platform requirements. I have a strong foundation in Cisco devices for IoT communication, which coupled with my Linux system administration skills will guarantee the reliability and security needed for your expanding markets in Australia and Europe. What sets me apart is my ability to lead distributed teams, having mentored junior members of my team throughout my 13-year career. My experiences give me insight into the critical technical gaps that may need filling, allowing us to act proactively in pilot projects, while mitigating risks with a robust threat model. Apart from technical acumen, fluency in English for seamless documentation and calls is another feather in my cap. Being remote won't pose any challenge considering my history of managing distributed networks. This opportunity resonates powerfully with me; it's a chance to build a product with tangible impact. Hence, I hold this project close to my heart and assure you of full commitment if given the chance. Choose me as your CTO/Tech Director, and together we'll revolutionize AI+IoT systems for OctaSence's clientele ensuring safety & preventing disasters masterfully. Let's connect the dots between technology and purpose!

@Visharaa2024

I understand that you are seeking a strong technical leader to drive the development and scaling of OctaSence, a platform focused on AI-driven monitoring and IoT solutions for critical industries such as mining and transport infrastructure. The role requires leading end-to-end technical development, including AI models, IoT edge systems, and a scalable cloud platform, while coordinating and mentoring a distributed engineering team as it grows. I bring hands-on experience in building and scaling similar architectures, working with protocols like LoRa, Modbus, and MQTT, along with edge processing using Python, time-series anomaly detection, and microservices architecture using tools like Apache Kafka. I am experienced with cloud infrastructure on Amazon Web Services, CI/CD pipelines, and implementing secure, scalable systems aligned with standards such as OWASP and TLS. Beyond technical execution, I focus on building reliable, production-ready systems, closing critical gaps in high availability, AI performance metrics, and threat modeling while supporting pilot deployments and preparing for expansion into markets like Europe and Australia. I am comfortable leading teams, hiring talent, and working in a remote, fast-paced startup environment, and I value the opportunity to contribute as a long-term partner in a product that delivers real-world impact.