Role Description Strategic Technology Consulting (STC), an Arcfield Company, is seeking a talented professional to join our team and fill the role of Digital Engineering Tools Administrator. STC is seeking an experienced Digital Engineer with a passion for deploying and configuring infrastructure and software solutions to fit customers’ requirements, while focusing on process improvements, efficiency, and automation. Interested candidates should thrive in an innovative, fast-paced environment, supporting a variety of commercial and government candidates. The ideal candidate will have strong communication skills, leadership abilities, be organized, have an ability to prioritize their time, and understand the value of providing strong customer service. This position will serve as a subject matter expert on STC’s Digital Engineering Infrastructure team. The DE Infrastructure team is a set of tools admins who work on tactical, high-visibility contracts; often providing a level of expertise where they are guiding customer admins on how to configure their systems. The chosen candidate will work directly with customers, with little oversight, and will demonstrate a high level of interaction, initiative, and influence for Digital Transformation efforts. They will bring their skills to bear to help customers achieve their Digital Thread and Digital Twin goals. - Develop and implement comprehensive Digital Engineering strategies to support DoD and/or Commercial customer initiatives. - Collaborate with cross-functional teams, including systems engineers, software developers, and project managers, to ensure alignment and progress in digital engineering initiatives. - Serve as a subject matter expert in Digital Engineering, guiding both internal and customer teams on best practices and emerging technologies. - Deploy common MBSE and DE COTS software, such as modeling tools (Cameo, Magic, SAM), middleware (ex. Syndeia, eCube, SBE Vision). - Configure assets in Azure Cloud and/or Amazon Web Services. - Architect, build, secure, and maintain production-grade Kubernetes clusters to ensure high availability, cluster deployment, and smooth deployments. - Can speak effectively in front of a group to either coordinate and/or provide technical direction to customer admins. - Can demonstrate the ability to communicate with senior customers, keep all stakeholders informed, prioritize tasks, and vet priorities. - Has the ability to interpret and adjudicate user needs; translate user needs expressed as business requirements into technical requirements; implement user needs the tools or customization of the tools. The candidate should also demonstrate or have an interest in gaining expertise in: - Technical Management skills - Embrace mentoring and development of personnel, with a commitment to continuous learning - Strong Communication skills - Experience with core Systems Engineering Disciplines (Requirements, Schedule, Risk, Readiness, System Closure, etc) Qualifications - BS 8-10, MS 6-8, PhD 3-5 - BS Degree in Computer Science or a related technical field (IT/Engineering/etc) - Eligibility for Security clearance - Eligible for TS or TS/SCI - Expertise with major versions of Linux and Windows Server - Experience configuring COTS software to fit customers’ requirements and processes - Knowledge of IT concepts and best practices, including for cybersecurity - Extensive experience with Kubernetes and best practices for implementing containerization - Fluent in the concepts of MBSE, DE, Digital Threads, and Digital Transformation - Experience designing production-grade clusters across multi-cloud or on-premises environments Requirements - Familiarity with Java and enterprise databases (Cassandra, DB2, etc) - Knowledge of Agile terminology, theories and best practices - Familiarity with DOD and Intelligence Community (IC) regulations, directives, policies and compliance for ATO - Experience developing and troubleshooting workflows - Experience identifying, researching, and testing alternative solutions Benefits - Health Insurance - Life Insurance - Paid Time Off - Holiday Pay - Short Term and Long-Term Disability - Retirement and Savings - Learning and Development opportunities - Wellness programs - Other optional benefit elections Equal Pay Act This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Min: $101,782.95 Max: $244,582.90 EEO Statement We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

Role Description At Sleek, we are on a mission to streamline operations and elevate customer experience through intelligent automation and modern engineering. We are seeking a Senior SRE Engineer who will be a key individual contributor responsible for architecting, building, and scaling Sleek’s next-generation infrastructure and AI-powered capabilities. As one of Sleek’s most senior technical contributors, you will: - Partner closely with Product, Engineering, and AI teams to define our infrastructure strategy. - Design resilient cloud architectures and ensure our platforms remain secure, scalable, and high-performing. - Play a central role in integrating AI systems into production environments, enabling efficient delivery, observability, and reliability across Sleek’s products and internal operations. You will ensure: - High-quality, secure, and scalable infrastructure capable of supporting modern applications and advanced AI workloads. - Robust automation across CI/CD, infrastructure provisioning, and operations to increase reliability and reduce manual overhead. - Thoughtful and pragmatic integration of AI into operational workflows to improve efficiency, detect anomalies, and accelerate delivery. - Reliable systems engineering practices, including monitoring, incident response, performance tuning, and capacity planning. - Strong DevOps standards, including reproducibility, testing, documentation, and operational excellence. - Clear technical communication and cross-team alignment to enable predictable delivery and collaborative problem-solving. - Mentorship and technical leadership that elevates platform engineering, DevOps maturity, and overall engineering quality across the organisation. Qualifications - 6+ years of progressive experience in Site Reliability Engineering (SRE). - 6+ years of strong, hands-on experience across multi-cloud environments such as AWS, GCP, Azure including expertise in networking, compute, storage, security, and cost optimization. - 6+ years of deep expertise in containerization and orchestration (e.g., Kubernetes, EKS, ECS). - 6+ years of extensive experience with Infrastructure as Code (IaC) (e.g., Terraform, Pulumi, CloudFormation). - Proven ability to design, build, and operate highly reliable, scalable production systems utilizing advanced Zero-Downtime Deployment Patterns (e.g., Blue/Green, Canary, progressive delivery). - Expertise in modernizing deployments via GitOps practices (e.g., ArgoCD, Flux) and building Self-Service Developer Platforms that enable engineering efficiency. - Experience implementing and managing Multi-Cloud API Gateways and Edge Routing solutions (e.g., Kong, Traefik, Cloudflare, multi-cluster ingress). - Strong background in platform security, including secrets management, Identity and Access Control (IAM), and Runtime/Security Hardening. - Solid understanding and practical experience with modern observability stacks (e.g., Prometheus, OpenTelemetry, OpenSearch, ELK, CloudWatch). - Experience supporting or deploying AI/ML workloads or strong familiarity with the infrastructure requirements for these systems. - Excellent communication and collaboration skills with a proven ability to describe complex infrastructure decisions clearly. - Familiarity with modern programming languages like Node.js, NestJS, and Python is highly desirable. Requirements - Ownership: Reliability and accountability within the team. - Humility: Open-mindedness to feedback and willingness to learn from others. - Structured Thinking: Ability to show sound judgement in complex situations. - Attention to detail: Managing multiple, complex workstreams effectively. - Excellent listener and clear communicator: Ensuring effective communication across diverse teams. Benefits - Fully remote role with flexible working hours. - Competitive market salaries and generous paid time off. - Eligibility for employee share ownership plan. - Opportunities for personal growth and professional development. - Commitment to building an inclusive and equitable workplace. Company Description Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia, and the UK. We have around 600 staff with an intact startup mindset. We have recently raised Series B financing off the back of >70% compound annual growth in Revenue over the last 5 years. Sleek has been recognised by The Financial Times, The Straits Times, Forbes, and LinkedIn as one of the fastest growing companies in Asia. Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of Asia Pacific.

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.