• Grow and nurture the open-source data/infra community: launch initiatives, collaborate with data-focused groups, and organize events or challenges • Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration, curating and showcasing datasets, benchmarks, and tools like Xet • Highlight use cases like efficient large-dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows • Create demos, benchmarks, and tools (for example Colab notebooks) that illustrate best practices for data storage and versioning, and experiment with Xet, Parquet, and other formats • Produce high-quality tutorials, blog posts, and videos that make complex topics accessible • Share insights on storage optimization, dataset versioning, and deduplication to empower developers • Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration • Make sure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases

• Responsible for building and maintaining the core components of Resend that handle sending transactional and marketing emails • Collaborate with the Core Sending Squad

Role Description We are seeking an experienced Industrial IoT (IIoT) Engineer to design and build connected, data-driven industrial systems spanning the factory floor to enterprise cloud platforms. In this role you will architect end-to-end IIoT solutions, including: - Edge data acquisition - Secure connectivity - Cloud ingestion - Real-time analytics - Operational dashboards The ideal candidate will combine strong software engineering skills with practical experience in industrial protocols, edge computing, and cloud IoT platforms. You will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. You will also be expected to raise the bar through code review, design review, and mentorship of more junior engineers. Key Responsibilities - Architect end-to-end IIoT solutions spanning edge devices, gateways, connectivity, and cloud platforms. - Design data acquisition pipelines from PLCs, SCADA, and sensors using protocols such as OPC UA, Modbus, MQTT, and Sparkplug B. - Build edge computing applications using AWS IoT Greengrass, Azure IoT Edge, or similar platforms. - Implement secure connectivity using mTLS, certificate management, and zero-trust patterns. - Build cloud ingestion and processing pipelines using AWS IoT Core, Azure IoT Hub, Kafka, or similar. - Develop real-time analytics, anomaly detection, and predictive maintenance models that turn raw telemetry from industrial assets into actionable signals for operators and reliability engineers. - Build operational dashboards and alerts for plant managers and operators. - Integrate IIoT data streams with MES, ERP, CMMS, and historian systems, designing reliable bidirectional flows that maintain consistency between operational technology and enterprise systems of record. - Implement strong device management, including provisioning, OTA updates, and certificate rotation. - Collaborate closely with OT, process engineering, and reliability teams, gathering requirements, aligning on technical approach, and ensuring that delivered solutions meet both functional needs and broader engineering and operational standards. - Ensure compliance with relevant industrial cybersecurity standards (IEC 62443, NIST). - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing. - Continuously evaluate emerging IIoT technologies and platforms, assessing maturity, fit for purpose, and total cost of ownership. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of IIoT or industrial software engineering experience. - Strong programming skills in Python, C++, or Go. - Hands-on experience with industrial protocols (OPC UA, Modbus, MQTT, Sparkplug B). - Experience with at least one major cloud IoT platform (AWS, Azure, GCP). - Hands-on experience with edge runtimes (Greengrass, IoT Edge). - Solid understanding of OT/IT integration patterns. - Experience with streaming and real-time analytics platforms. - Familiarity with industrial cybersecurity standards. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - Experience with digital-twin platforms. - Hands-on experience with predictive maintenance ML models. - Exposure to time-series databases (InfluxDB, TimescaleDB). - Familiarity with Unified Namespace (UNS) patterns. - Industrial certifications (ISA, IEC 62443). How to Apply For immediate consideration, please send your resume to [email protected] . Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description We are looking for a Product Support professional to join our Product Support team at EquiLend. As part of our global Product Support team, you will play a vital role in ensuring the smooth operation of the systems that power the global securities finance ecosystem. Operating in a high-availability production environment, this position demands both deep technical expertise and strong analytical ability. You will lead the response to complex incidents, conduct root-cause analyses, and help drive automation and stability across our systems. Working closely with our engineering, DevOps, and infrastructure teams, you’ll help strengthen operational resilience and deliver a best-in-class client experience. We currently have opening for permanent night shift. Below are the details: - Night Shift: 5 days per week, 9:00 pm - 6:00 am IST - Work model: Remote What You’ll Do - Manage and resolve complex production issues across our global product suite, ensuring timely diagnosis and resolution. - Conduct in-depth root-cause analysis across distributed systems, databases, and microservices architectures. - Develop and optimise SQL scripts and Python-based utilities to enhance operational monitoring and automation. - Monitor production environments, identify anomalies, and take proactive corrective action. - Collaborate with DevOps and infrastructure teams to enhance observability, automation, and system reliability. - Contribute to release validation, post-deployment testing, and system health checks. - Create and maintain detailed operational documentation, including runbooks and troubleshooting guides. - Provide mentorship and escalation support to junior members of the team. - Identify recurring issues and propose automation or process improvements to prevent reoccurrence. - Ensure adherence to operational risk controls, audit requirements, and internal service standards. Qualifications - 5+ years of relevant commercial experience in a product, application, or production support role. - Experience supporting external clients, ideally within SaaS, enterprise platforms, or technology-driven environments. - A solid understanding of Linux/Unix operating systems, including basic command-line usage and log analysis. - Working knowledge of SQL to support client investigations and basic data analysis. - Excellent written and verbal communication skills in English, with the ability to clearly explain technical issues to clients and internal teams. - Strong collaboration skills and a willingness to work closely with senior support engineers and cross-functional teams. - Ability to prioritise tasks effectively in a fast-paced, production support environment. - A client-focused mindset with a proactive and structured approach to problem-solving. - Exposure to Financial Services or Capital Markets environments is highly desirable but not essential. Benefits - Be rewarded for your impact through an annual performance-linked variable pay award, in addition to your fixed CTC. - Work flexibly with up to 100 remote working days per year. - Take time to recharge with 32 days of paid leave per year, comprising paid, casual, and sick leave, plus public holidays. - Access comprehensive health insurance for you and your dependents from your first day. - Receive personal accident insurance from the start of your employment. - Connect with colleagues at an annual company-sponsored team retreat, hosted at a new location each year. - If relocating from more than 40 miles away, receive hotel accommodation and travel ticket reimbursement. Company Description EquiLend is a global financial technology firm at the center of the securities finance industry. Since 2001, we have built the infrastructure that financial institutions rely on to trade, manage, and report. This includes products such as our NGT trading platform, Post Trade Suite, DataLend market intelligence, RegTech solutions, and EquiLend Clearing Services. We operate across North America, EMEA, and Asia-Pacific, working with banks, broker dealers, asset managers, and custodians to bring greater efficiency, transparency, and automation to the securities finance lifecycle. Our teams combine deep market expertise with a focus on building technology that works at scale, under real-world conditions, for some of the world's most demanding financial institutions. EquiLend is Great Place to Work Certified™ in the U.S., UK, Ireland, and India, and has been recognized as Global Data Provider of the Year and Regulatory Solution of the Year at the Securities Finance Times Industry Excellence Awards 2025.