The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments. Job Responsibilities Data Platform & Analytics Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with robust backfill and reconciliation capabilities Create comprehensive monitoring for data quality, freshness, and pipeline reliability AI Platform Development Design, build, and operate internal AI platforms serving multiple trading teams Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability Job Requirements Mandatory Foundations 5+ years production experience with both Python and Java in high-performance environments Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization Expertise in Linux, Github, and modern CI/CD practices Proven experience with AWS cloud services and Kubernetes orchestration Comfort working with large-scale, complex datasets in financial/trading contexts
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About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Propulsion Systems & Mechanical Integration Engineer to own the mechanical integration of propulsion systems across our next-generation defense platforms. In this hands-on role, you will work at the intersection of propulsion, structures, fluids, thermal management, avionics, and vehicle systems to turn propulsion concepts into reliable, testable, manufacturable hardware. You will integrate next-generation engines, fuel systems, valves, pumps, tanks, actuators, thermal protection, and associated support hardware in tightly constrained aerospace vehicles. You will drive the mechanical architecture and interfaces required to accomodate propulsion systems while balancing performance, mass, packaging, manufacturability, reliability, and cost. At Mach Industries, we are redefining the future of defense through advanced, scalable platforms. As a Mechanical Engineer, you will play a key role in prototyping and refining mechanical systems, and optimizing designs for performance and scalability. Collaborating with a multidisciplinary team, you’ll help shape the next wave of defense technologies, from concept to deployment. Key Responsibilities Own mechanical integration of propulsion systems from early architecture and co
The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments. We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure. This role combines traditional quantitative development with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains. Job Responsibilities Data Platform & Analytics Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with robust backfill and reconciliation capabilities Create comprehensive monitoring for data quality, freshness, and pipeline reliability AI Platform Development Design, build, and operate internal AI platforms serving multiple trading teams Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability
MongoDB's Application Modernization Platform (AMP) helps organizations modernize legacy applications and move their workloads and associated data from relational databases to MongoDB. Our customers need a dependable way to bring analysis, transformation, testing, and migration capabilities into their modernization workflows. The Platform team builds the shared foundations that make AMP a cohesive product. We connect specialized tools and services through consistent interfaces, integrate them with AI agents and development environments, and make them secure, observable, and straightforward to deploy and operate. Our work enables product teams to deliver new capabilities without repeatedly solving the same integration and infrastructure problems. We are looking for a Staff Engineer to set technical direction and lead delivery of this platform. You will combine deep systems engineering with product judgment, turning ambiguous requirements into reusable services and working integrations. You will define clear boundaries between platform, product teams, and external partners; make deliberate build-versus-integrate decisions; and contribute foundational code. Your impact will be measured by how reliably teams and customers can adopt and use AMP capabilities, and how much engineering effort the platform removes from their path. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. A strong candidate for this position will have: Technical Leadership: Over 8 years in software engineering and production operations, with a proven history of championing major technical strategies and deploying resilient, scalable architectures Platform Engineering: Deep practical expertise architecting common frameworks, distributed architectures, or core developer tooling leveraged across multiple organizations or customer environments API & System Design: Track record of establishing and refining service boundaries, interfaces, and data schemas with
NVIDIA is now looking for a Senior Memory System Engineer to join our ASIC Memory Subsystem team! As a Senior Systems Engineer at NVIDIA, you'll join a group of hardworking engineers to develop and architect innovative Memory Solution for Tegra SoCs. In this position, you'll make a real impact in a multifaceted, technology-focused company. You will work with memory controller/PHY and Platform / System architect, Firmware, SI/PI, Memory suppliers to design and architect cutting edge, high speed and lower power memory technology for NVIDIA CPUs and SOCs. What You Will Be Doing: Analyze future DDR/LPDDR/HBM technologies to determine optimum performance, power, function and RAS in memory for Next generation SOC and Systems. Collaborate with ASIC Architects, Designers, Software and Firmware SW/FW teams to drive memory technology and associated requirements for memory controllers. Define Memory module, Package, and PCB layouts appropriate to the system workloads Debug and bring up memory evaluation / validation and failure issues on memory technology. Collaborate with DRAM suppliers and industry partners on to develop memory and memory related component technology. What We need to see: Bachelor's degree or master’s degree in Electrical Engineering, Computer Engineering (CE), or a related field (or equivalent experience) 10 years of proven track record in DRAM design, module design, or memory sub system design. Deep understanding and strong fundamental of memory design, features, ECC algorithm, SI and PI (Training algorithm) in DDR, LPDDR, and HBM. Strong understanding of memory sub system level interaction with Cache, Memory controller and PHY. Experience in the design, bring-up and validation for memory failure analysis Experience with Python, C/C
Location: Doha, Qatar | Practice Area : Technology & Engineering | Type: Permanent The Role Capco is looking for an AI Security Consultant to help our clients identify, assess, and manage security risks associated with AI technologies and AI-enabled solutions. You’ll work across data, security, technology, risk, and business teams to embed appropriate security controls throughout the lifecycle of AI systems. This is an opportunity to work at the intersection of AI, data, and cybersecurity within financial services, helping clients adopt AI securely while protecting sensitive information, strengthening governance, and managing emerging security risks. What You’ll Do Assess security risks associated with AI systems, models, data pipelines, and supporting technology environments. Conduct AI security assessments and secure AI architecture reviews. Define and implement security controls, standards, and guardrails across the AI lifecycle, from design and development through deployment and ongoing operation. Identify and assess AI-specific threats and vulnerabilities, including risks relating to data exposure, model access, prompt manipulation, and misuse. Deliver cybersecurity advisory services supporting enterprise AI adoption. Support clients in securing AI-enabled products, platforms and data ecosystems. Work with data, security, architecture, engineering, risk, and business teams to embed security-by-design into AI solutions and delivery processes. Support AI security governance, risk assessments, control testing, monitoring, incident response, and remediation activities. What We’re Looking For Strong experience in cybersecurity, information security, AI security, data security, or related technology risk disciplines. Practical understanding of AI and machine learning environments and the security risks associated with models, data, applications, and supporting infrastructure. Experience applying security controls, threat modelling, risk assessment, identity and a
We are now looking for a dynamic business leader to grow NVIDIA's Host Networking business for AI infrastructure with AI Labs and Hyperscalers! This leader will drive strategic direction, customer engagement, and multi-year growth for networking products such as NVIDIA DPUs, SuperNICs, and their associated software and ecosystem. Success in this role will be measured by the level of adoption and integration of our Host Networking products with our end customers' workflows and workloads. Success is contingent upon building trust with executives, architects, product leaders, and platform teams across NVIDIA and our largest customers. This leader will lead the go-to-market motion, connecting customer AI factory needs to NVIDIA's networking portfolio and aligning product, sales, engineering, architecture, marketing, and partner teams to secure design wins and scale deployments. What you'll be doing: Identify, develop and close strategic design wins for DPU and SuperNIC with top AI labs and Cloud Service Providers! Build and implement the segment sales growth strategy for host networking across hyperscaler and frontier model AI labs building large scale AI infrastructure. Define customer-specific DPU and SuperNIC value propositions and deployment motions, and lead a matrixed team across product, architects, engineering, sales and marketing teams. Promote NVIDIA host networking products externally and internally, positioning their value for AI workloads and other infrastructure products from NVIDIA, in a collection of use-cases in Networking, Security and Storage. Build a robust opportunity pipeline with segment sales and account teams, including account mapping, customer requirements, proof points, executive engagement, and partner alignment. Track and drive quarterly business reporting, forecast accuracy, design-win progress, roadmap asks, and
Leidos Engineering LLC is a premier national engineering-based management consulting firm. We are seeking an experienced and motivated candidate to join our team as a Senior Energy Engineer. The position is ideal for a person with excellent technical skills and energy engineering experience with experience in calculating energy saving estimates, energy auditing, and communicating technical issues within the project team while working closely with contractors, suppliers, architects, and project engineers. Primary Responsibilities: Reviewing technical energy efficiency applications for incentives and rebates for Ameren Illinois electric and natural gas customers Review different types of energy using systems within the industrial and/or commercial markets (HVAC, Lighting, compressed air systems, energy management systems, etc) Research technology changes to support improvements to the energy efficiency program and provide solutions for implementation improvements Maintain working knowledge of the Illinois Technical Reference Manual and associated energy efficiency concepts. Review existing energy savings methods for quality control/improvements Utilize independent judgment to verify technical requirements are met throughout various energy savings initiatives Coordinate & provide guidance to supporting teams regarding energy efficiency programs Basic Qualifications Bachelor’s degree in engineering, Economics, Business Administration or related, with six plus (6+) years of relevant experience Prior experience in energy efficiency or similar technologies. Proficiency with Microsoft Office Products, especially Microsoft Excel Must be a
Accelerate how Gallup builds and deploys software by helping engineering teams deliver applications faster, more reliably and at scale. In this high-impact role, you’ll be responsible for designing and optimizing release pipelines, driving automation, and implementing cloud infrastructure that accelerates delivery and ensures high availability. You’ll work closely with developers, architects, security associates and operations teams to establish best practices and bring stability and scalability to our engineering workflows. You’ll develop systems that power global insights — analyzing what the world is thinking and delivering employee engagement, strengths development and wellbeing solutions — among other high-impact projects. If you’re a proven DevOps leader ready to fuel innovation and make a global impact, apply today. What You’ll Do Collaborate with software engineering, infrastructure and security teams to streamline delivery, reliability and observability Design, implement and maintain GitHub Actions-based CI/CD pipelines that support our diverse set of applications and services Drive adoption and continuous improvement of DevOps practices across platforms and environments, helping teams fully leverage our existing framework Manage releases across multiple AWS regions and environments, ensuring seamless delivery Solve complex infrastructure and deployment challenges with a strong focus on scalability, observability and automation Support teams working across multiple applications, stacks and languages, quickly understanding and adapting to full-stack architectures and deployment flows Mentor and coach infrastructure engineers, fostering a DevOps culture across software teams What Makes You Stand Out DevOps expertise: You’ve built or significantly scaled a DevOps practice from the ground up. Strategic technical ownership: You have a strong sense of ownership in guiding DevOps strategy, tooling choices and architectural direction. Hands-on experience with moder
About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. We are currently hiring 3 unique Directors, Global Category Strategy - 1 specialized in Home Environment , 1 specialized in Beauty , and 1 specialized in Motorized / Treats . Global Category Strategy is the category-focused commercial engine at SharkNinja. In partnership with Global Marketing, Product Development, Finance, and Supply Planning, the function builds and delivers comprehensive Plans To Win to every market we operate in. The Director, Global Category Strategy – Home Environment owns the global category plan for the Fans & Air Purifier portfolio . This leader sets the category's roadmap point of view, assortment architecture, channel strategy, and price/promo guardrails — then equips regional commercial teams including Strategic Sales & Analytics, and Sales teams to execute against them
Director, Field Translational Science — Oncology Position Summary Natera is shifting disease management worldwide through unprecedented molecular innovation. As the Director of Field Translational Science, you will build, scale, and lead a specialized team of field-facing translational scientists within our Oncology Business Unit. This high-autonomy leadership role is designed for a strategic builder who can run a sophisticated regional team while serving as the executive authority for advanced Natera tests - including, but not limited to, cell-free DNA (cfDNA) and minimal residual disease (MRD) assays - and their associated data analysis frameworks across elite academic medical centers. This position requires up to 50-70% regional travel to engage with institutional leadership and audit high-priority research partnerships. You will eliminate the standard boundaries between field data generation and internal pipeline design. Distinct from traditional, education-focused Medical Affairs teams (MSLs), your organization owns the structural integrity, statistical validation, and scientific output of investigator-led data collaborations. Primary Responsibilities Team Leadership & Scale: Hire, develop, and manage a premier field organization of translational scientists, establishing clear performance metrics tied to regional data velocity, scientific rigor, and publication quality. Strategic Data Architecture: Author and execute the regional data engagement strategy, guiding how field scientists partner with oncologists, pathologists, and biometricians to unlock complex ctDNA and real-world datasets; holds the institutional/enterprise escalation line for the direct day-to-day communication line with the clinicians. Regional Operations & Systems Governance: Oversee the secure regional tracking architecture and data ingestion pipelines that individual Field Translational Scientists operate within; ensure absolute data compliance, system integrity,
Senior Data Engineer Insurance underwriting runs on human judgment, manual workflows, and knowledge locked in someone's head. It breaks when that person leaves and doesn't scale when the book doubles. Sixfold is building AI agents that understand risk the way a 20-year veteran underwriter does. Not summaries or flags, but systems that make real decisions on billions in premium for some of the world's largest carriers. AI is the product and the workflow. The Senior Data Engineer makes sure the data powering those decisions is trusted, governed, and built to scale. If you live and breathe Data and AI tools, understand how models work under the hood, and can translate that into business outcomes for a room full of skeptical underwriters, this role was written for you. Who We Are 🏔 Product: Sixfold is the AI brain for underwriting. Our platform handles submissions at scale, assessing risk against appetite, surfacing cited insights, and deploying AI agents to handle triage, research, and referrals so underwriters can focus on building profitable portfolios. 💪 Team: A focused team of insurance operators, AI researchers, and engineers who love hard problems. We're pushing the boundaries of AI adoption across every function, from how we build, to how we sell and to how we support customers. We ship fast and stay close. 📈 Traction: Processing billions in premium for some of the world's largest carriers. We know AI. We know underwriting. We're building what comes next. About the Role In this role, you will: Lead data platform strategy and execution. Partner with the CDAO to shape overall data strategy and translate it into engineering roadmaps with clear owners, timelines, and outcomes. You're not inheriting a finished system — you're making consequential architectural decisions that compound over time. Own the Snowflake data lake end to end. Develop, maintain, and evolve the platform and its associated services — from ingestion to serving. This includes architecting data
Work Flexibility: Onsite What You Will Do: We are seeking a highly experienced and hands-on Senior Staff Acoustic Hardware Engineer to help develop the next generation of Smart Care products and reshape the Smart Hospital experience in critical care environments In this role, you will lead the design, integration, and optimization of acoustic, audio, and hardware systems for handheld, battery-powered products. You will collaborate with internal engineering teams, suppliers, and Joint Design Manufacturer (JDM) partners to deliver innovative, reliable, and manufacturable products. Lead acoustic and audio hardware development across the full product lifecycle, from concept and architecture through design, validation, production launch, sustaining, and end-of-life. Define, design, and optimize audio and acoustic architectures, including microphones, speakers, amplifiers, codecs, and associated audio signal paths. Perform acoustic characterization, testing, tuning, and performance optimization at the component, subsystem, and product levels. Drive hardware development and integration across audio, battery and charging, power management, sensors, touchscreen, processors, memory, and related subsystems. Provide technical leadership to JDM engineering teams, including board-level design, implementation, integration, debugging, schematic review, component selection, PCB layout, and design documentation. Develop comprehensive hardware and acoustic requirements, specifications, interface definitions, validation criteria, and verification and validation plans. Lead prototype bring-up, system characterization, debugging, and root-cause analysis of complex acoustic, electrical, and system-le
Leidos is seeking a Principal Enterprise Voice Engineer to lead engineering, sustainment, maintenance, and operational support of enterprise IP voice and video communications. This position requires extensive experience with enterprise unified communications, SIP signaling, call routing, network infrastructure, cybersecurity, and voice service interoperability. The engineer will collaborate with network, cybersecurity, systems engineering, and operations teams to ensure secure, reliable, and uninterrupted voice services. The engineer will provide technical direction, review engineering designs and change packages, resolve complex escalations, and mentor less-experienced engineers. This is a senior technical position without formal supervisory responsibilities. Primary Responsibilities Enterprise Voice Architecture and Engineering Serve as the senior technical authority for enterprise IP voice and video infrastructure. Lead the design, engineering, modernization, and technical implementation of Cisco, Avaya, Oracle, and associated voice technologies. Establish engineering standards, architecture requirements, configuration baselines, and technical implementation strategies. Review and approve complex engineering designs, system configurations, and technical solutions to ensure performance, security, scalability, and resiliency. Evaluate emerging technologies and provide modernization, lifecycle management, and capacity planning recommendations. Enterprise Networking and Voice Integration Provide technical leadership for integrating enterprise voice services across routing, switching, WAN, firewall, and security infrastructure. Direct engineering solutions involving SIP signaling, media services, call routing, carrier interconnections, and multi-vendor interoperability. Lead technical assessments of IPsec, MPLS VPN, BGP, and QoS i
Leidos has an exciting career opportunity for a Network Engineer at Joint Base Pearl Harbor-Hickam (JBPHH). The network engineer provides the PA-ESC Network Administration support services; administers the configuration and performance of network assets at the PA-ESC and ensures network infrastructure connectivity through network management toolsets and administrative functions. Possess an advanced level of technical expertise in these toolsets and maintain the appropriate level of networking engineering certification Primary Responsibilities Advanced and complex analysis of network and system performance to include the advanced evaluation of network architecture design and configurations with specific expertise in network data transfer protocols and Cisco, Brocade, SolarWinds, and other network management tools. Designing, recommending, and implementing the resolution of complex hardware and or software solutions of multiple operating systems to maximize network performance. Must have current knowledge of DoD Information Security Policies and Programs for COMPUSEC and INFOSEC, multi-level security, and emerging information warfare concepts, and understanding of military operations, organizations, and operational information requirements in peacetime, crisis, and war. Setting up, maintaining, and configuring TDL equipment, interfaces, and connections to AEHF, HF, UHF, SATCOM communications systems and associated cryptographic equipment Basic Qualifications Bachelor's degree in engineering, computer science, or a related scientific field, a CCNA or BCNP certification 8 years’ experience in C4I related activities and maintaining classified networks Understand military operations, organizations, and operational information requirements Demonstrate an ability to analyze problems and identify solutions methodically and proactively TS/SCI Clearance required IAT Level III
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