Circuit Design Engineer Jobs

This role is responsible to manage the availability and functionality of Control & Instrumentation (C&I) systems related to CHP, Fire Detection, Closed-Circuit Television (CCTV), Public Address (PA) systems, Belt weigher, In motion and wagon tippler weighing system. This includes managing regular maintenance, system inspections, and backups, as well as coordinating calibration and maintenance activities with contract manpower. Source: Adani Group | Job ID: 49706

We're looking for an Engineering Manager who combines strong technical judgment with people leadership to help build the systems and team practices that keep Asana resilient at scale. This role is a great fit for someone who enjoys turning broad reliability problems into clear priorities, and can balance foundational engineering work with iterative delivery. You'll help shape what Platform Reliability means at Asana while building a team that ships durable systems, strong operational practices, and high-trust partnerships. You will define the reliability roadmap for a rapidly growing global platform, transforming reliability into a core architectural advantage. You'll partner closely with platform engineering, infrastructure, and product teams in Warsaw, Reykjavik and San Francisco to protect Asana under real-world load, improve how traffic and failure modes are handled, and ensure reliability is designed in rather than added later. This is a role for someone who can lead through influence, coach engineers, and raise the bar for execution and collaboration. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve Build and lead a new Platform Reliability team, hiring and developing engineers while setting a clear standard for collaboration, ownership, technical excellence and growth. Partner with technical leaders to define the roadmap for core reliability systems such as load shedding, rate limiting, circuit breakers, traffic controls, and other platform guardrails. Establish and evangelize best-in-class operating practices for incident response, postmortems, and proactive risk management through SLOs a

About the Team The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models. We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role You’ll own the hands-on and automation work that brings WAN, fiber, carrier, and cloud-interconnect circuits into service. Partner with network engineers, fiber providers, cloud service providers, colocation teams, and data-center technicians to move each connection from ordered and patched to verified, stable, and ready for handoff. You’ll own Layer 1 troubleshooting and circuit bring-up while building workflows that translate reliable system or model output into precise, approved technician actions, capture field feedback, and drive each connection to a green-port handoff. The right person combines strong physical-networking judgment with practical automation skills: patch-panel and port mappings, optics and light levels, provider coordination, structured operational data, API or scripting workflows, and human-in-the-loop LLM tooling. Responsibilities Own Layer 1 activation and restoration for carrier circuits, dark fiber, wavelengths, Ethernet handoffs, and dedicated cloud interconnects across data centers and points of presence. Reconcile complete A-side/Z-side as-builts: circuit IDs, LOAs/CFAs, carrier demarcations, MMR/ODF/MDF and patch-panel positions, fiber pairs, cross-connects, optics, and device ports. Investigate no-light, low-light, wrong-port, link-flap, and error-rate issues across providers and CSPs; isolate continuity, dirty connectors, polarity, incorrect patching

When 5% of Indian households shop with us, it’s important to build data-backed, resilient systems to manage millions of orders every day. We’ve done this – with zero downtime! 😎 Sounds impossible? Well, that’s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We’ve taken steps to inculcate a strong ‘Founder’s Mindset’ across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Tech Culture We have a unique tech culture where engineers are seen as problem solvers. The engineering org is divided into multiple pods and each pod is aligned to a particular business theme. It is a culture driven by logical debates & arguments rather than authority. At Meesho, you get to solve hard technical problems at scale as well as have a significant impact on the lives of millions of entrepreneurs. You are expected to contribute to the Solutioning of product problems as well as challenge existing solutions. Meesho’s user base has grown 4x in the last 1 year and we have more than 50 million downloads of our app. Here are a few projects we have completed last year to scale oursystems for this growth: ● We have developed API gateway aggregators using frameworks like Hystrix and spring-cloud-gateway for circuit breaking and parallel processing. ● Our serving microservices handle more than 15K RPS on normal days and during saledays this can go to 30K RPS. Being a consumer app, these systems have SLAs of ~10ms ● Our distributed scheduler tracks more than 50 million shipments periodically fromdifferent partners and does async processing involving RDBMS. ● We use an in-house video streaming platform to support a wide variety of devices and networks.