At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Engineer, you'll build the real-time data capabilities that power analytics, reporting, and intelligent experiences across our platform. You'll design and scale modern data infrastructure, turning complex data into trusted insights that help teams make faster, more informed decisions. Working across Engineering, Analytics, and business teams, you'll solve challenging technical problems, shape the future of our data architecture, and create the foundation for AI-powered experiences that accelerate how we build and innovate. What you'll do as a Senior Data Engineer - Build scalable, high-performance data infrastructure that transforms raw and historical data into trusted, actionable insights. - Design, develop, and maintain real-time and batch data pipelines using technologies such as Kafka, Databricks, and Snowflake. - Develop reliable data solutions that power business-critical reporting, analytics, and platform insights. - Build AI-powered data experiences that enable teammates to explore and analyze data using natural language, extending beyond text-to-SQL to support intelligent, autonomous workflows. - Partner with Engineering, Analytics, and cross-functional stakeholders to translate complex business requirements into scalable, analytics-ready datasets. - Design and optimize modern data models, including Star Schema and Data Vault methodologies, while championing data quality, governance, and observability. - Drive best practices for data engineering, streaming, transformation, and platform performance while mentoring teammates and contributing to the continued growth of the Data Engineering Team. - Collaborate in an agile environment, delivering scalable solutions that support evolving business and platform needs. What you'll bring - A Bachelor's Degree in Computer Science or a related field, or an equivalent combination of education, training, and professional experience. - At least 3 years of experience designing, building, and maintaining scalable data platforms and distributed data systems. - Strong proficiency in Python and SQL, with hands-on experience building real-time data streaming solutions. - Experience working with Snowflake, Databricks, Kafka, and modern cloud-based data platforms. - Experience with cloud infrastructure, preferably Amazon Web Services (AWS), and familiarity with infrastructure and DevOps tools such as Terraform, PagerDuty, and Datadog. - Deep understanding of data warehousing, data lakes, ETL frameworks, and modern data modeling techniques, including Star Schema and Data Vault. - Experience working with NoSQL databases such as MongoDB or DynamoDB; familiarity with Sigma or similar business intelligence tools is a plus. - Hands-on experience using AI-assisted engineering tools such as Claude Code, Codex, or similar technologies to build agents, automate workflows, and accelerate software development. - Strong communication and collaboration skills, with the ability to thrive in a fast-paced, cross-functional environment while mentoring and supporting other engineers. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

Role Description CTG is seeking to fill a Network Performance Monitoring Engineer opening for our client. Location: Remote Duration: 10 months Primary Responsibilities: - Lead the engineering, administration, and optimization of enterprise Network Performance Monitoring (NPM) platforms. - Design and manage network telemetry solutions utilizing SNMP, NetFlow, sFlow, IPFIX, and streaming telemetry. - Develop monitoring strategies that deliver comprehensive visibility across routers, switches, firewalls, load balancers, WAN, and cloud networking environments. - Build intelligent alerting, anomaly detection, and event correlation to improve operational efficiency and reduce alert fatigue. - Analyze network performance, identify bottlenecks, and drive root cause analysis for latency, packet loss, congestion, and routing issues. - Develop dashboards, reports, and KPI metrics supporting both operational teams and executive leadership. - Integrate network monitoring with enterprise observability platforms such as Dynatrace, ITOM, Splunk, Grafana, or similar technologies. - Automate monitoring workflows including device onboarding, dashboard creation, alert tuning, reporting, and proactive remediation. - Partner with Network Engineering, SRE, Infrastructure, and Application teams to improve monitoring coverage, incident response, and operational excellence. - Establish monitoring governance, standards, naming conventions, and enterprise best practices. Scope of Responsibilities: This senior engineering role is responsible for the design, implementation, administration, governance, and continuous improvement of enterprise Network Performance Monitoring capabilities. The successful candidate will provide technical leadership for monitoring platform architecture, telemetry collection, alert engineering, observability integration, performance analysis, automation, and operational excellence while ensuring scalable, reliable, and proactive monitoring across complex enterprise environments. Key areas of responsibility include: - Monitoring platform ownership, lifecycle management, upgrades, and capacity planning. - Network telemetry architecture utilizing SNMP, NetFlow, sFlow, IPFIX, streaming telemetry, and device metrics. - Alert engineering including thresholds, baselines, anomaly detection, event correlation, and noise reduction. - Network performance analysis, capacity planning, forecasting, and root cause analysis. - Development of operational and executive dashboards, reporting, and SLA metrics. - Integration with enterprise observability and IT Operations Management platforms. - Major incident support and subject matter expertise for network monitoring technologies. - Enterprise-wide monitoring coverage for on-premises, cloud, hybrid, and edge networking environments. - Governance, compliance, monitoring standards, metadata management, and enterprise architecture alignment. - Automation initiatives that improve MTTR, MTTD, monitoring coverage, and operational efficiency. Supervisory/Managerial Responsibilities: - No direct personnel management responsibilities. - Provide technical leadership, mentoring, and subject matter expertise across engineering teams. - Lead technical initiatives and promote enterprise monitoring best practices. Qualifications - Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related discipline, or equivalent work experience. - 8+ years of enterprise network engineering or network performance monitoring experience. - Hands-on experience with Network Performance Monitoring platforms such as SevOne or comparable enterprise monitoring solutions. - Strong knowledge of SNMP, NetFlow, sFlow, IPFIX, streaming telemetry, routing, switching, WAN technologies, and cloud networking. - Experience developing dashboards, KPIs, telemetry pipelines, alerting strategies, and monitoring automation. - Proven experience performing network performance analysis, troubleshooting, root cause analysis, and capacity planning. - Experience with scripting or automation using Python, PowerShell, or similar languages. - Excellent analytical, troubleshooting, organizational, and communication skills. Requirements - Experience with enterprise observability platforms including Dynatrace, Splunk, Grafana, Prometheus, ITOM, or OpenTelemetry. - Experience supporting AWS, Azure, or Google Cloud networking environments. - Knowledge of Infrastructure as Code using Terraform, Ansible, or similar automation tools. - Experience implementing self-healing automation and proactive monitoring solutions. - Industry certifications such as CCNP, CCIE, Network+, or ITIL are preferred. - Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. Benefits - The expected base salary for this position ranges from $55.98 to $93.29/hour. - Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. - In addition to salary, a competitive benefit package is also offered. Company Description CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries. Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey.

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments. In this role, you will work closely with customers to understand their requirements, provide technical expertise and customer support during deployment, and ensure successful integration of Hivemind. You’ll also collaborate internally with engineering teams to develop and test new autonomy capabilities. This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site. What you'll do: - Deploy with customers on site globally (~50% travel) to support software integration and development activities.  - Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.  - Provide technical support and training to customers on use of Hivemind.  - Develop AI & Autonomy applications using the Shield AI enterprise software development kit. - Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions - Assist in post-sales deployment and integration of Shield AI enterprise software products.  - Develop and maintain technical documentation and training materials.  - Help customers debug software/API integration issues.  - Collaborate with the product engineering team to address customer feedback and improve products.  - Act as a technical leader across engagements by elevating team performance, driving execution across cross-functional teams, and ensuring successful delivery in complex environments. Required qualifications: - Bachelor’s degree in Engineering, Computer Science, or a related field, and 7+ years of industry experience, OR  - Master’s degree in Engineering, Computer Science, or a related field, and 5+ years of industry experience. - Strong technical background in software engineering.  - Strong proficiency in writing modern C++ code.  - Excellent problem-solving and analytical skills.  - Strong communication and interpersonal skills. Preferred qualifications: - Experience in the defense, aviation, or robotics industry.  - Prior experience as a customer-facing solutions engineer, application engineer, or sales engineer. - Experience operating in a fast-paced, startup-like, environment. - Advanced technical degree, especially in robotics or autonomy related fields #LI-FB1 #LD Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:At Shield AI, we're building the most intelligent autonomous aircraft ever deployed. As we push the boundaries of what’s possible in contested environments, we are looking for a Survivability Engineer to shape and optimize the low observable (LO) performance of our next-generation autonomous aircraft. This role is ideal for an experienced engineer with expertise in radar cross-section (RCS) shaping, LO materials, and electromagnetic signature modeling who thrives in a fast-paced, mission-driven environment. You’ll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace. What you'll do: - Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration. - Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi. - Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one. - Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations. - Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints. - Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability. - Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle. Required qualifications: - B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline. - 10+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems. - Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi. - Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration. - Practical experience with LO testing methods and RCS measurement equipment. - Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies. - Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams. - U.S. Citizenship and active Secret clearance required. - Ability to obtain a S//SAR level security clearance desired. Preferred qualifications: - Experience with military UAV platforms or 5th-gen fighter programs. - Background in survivability analysis in contested environments (e.g., IADS, radar networks). - Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments. - Ability to contribute to the design, test, and fielding of a fully integrated LO platform. - Active Top Secret or SCI clearance. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.