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Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive is a global technology company building products used by millions of people around the world. We are looking for a Senior DevOps Engineer to join our Market Intelligence team and help build and maintain reliable, scalable, and efficient infrastructure for data-driven products. In this role, you will work closely with development and data teams, improve CI/CD processes, automate infrastructure and deployments, and ensure the stability and scalability of our systems across different environments Key Responsibilities Building a geo-distributed infrastructure, ensuring maximum performance and reliability of our services Participation in the life cycle of projects at all stages, including the design and development of services, resource planning and maintenance Improving processes related to system maintenance (fault tolerance, scaling, postmortems, finding and eliminating bottlenecks) Automation of build, test and application delivery processes Development of services and infrastructure management tools Taking part in creation of PaaS platform On-call duty Skills, Knowledge and Expertise Deep knowledge and understanding of Linux OS (Ubuntu, Amazon Linux) Deep knowledge of Docker / Containerd containerization technologies Experience in building CI/CD Pipelines Experience in using Ansible / Saltstack and writing roles / playbooks / states / pillars Strong understanding of command of Git Ability to independently decompose tasks and bring them to the end Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid The QA Load team is responsible for the performance and scalability of services across their entire lifecycle — from Go/No-Go decisions before launch to working with real production traffic. We design and execute load tests, model real-world usage scenarios, identify and eliminate bottlenecks in backend systems, databases, messaging, and infrastructure, and work closely with SRE, DevOps, and product engineering teams. The role focuses on systematic performance improvement: building load-testing infrastructure, automation and CI/CD quality gates, performance analysis and experimentation, and translating technical metrics (latency, RPS, p95/p99) into clear business impact. Our goal is to make performance a core aspect of product quality and ensure the stable operation of high-load, geo-distributed systems. Key Responsibilities Performance Audits & Integration Support: Go/No-Go decisions with our stakeholder about launches services before integrating them into our ecosystem and integrations support (audit APIs, web, databases, caches, message brokers) Design&Execute Load Tests global strategy: Modeling of load testing scenarios (load, stress, soak, peak, find max tests), methodology and formation of non-functional requirements for system using k6, JMeter (DSL framework) Simulate real-world scenarios and traffic patterns to validate systems under production-like conditions (including high RPS, concurrency levels, data skew, and geo-distributed load) Load Modeling: Calculate and validate detailed load models – e.g. expected RPS, concurrent users, transaction volumes, and data distribution. Adjust these models to mirror peak and edge-case scenarios, ensuring our capacity planning is grounded in reality. Bottleneck Analysis & Fixes: Find, analyze, and fix performance bottlenecks. This includes: backend issues (CPU hotspots, memory leaks, GC pauses, thread pool exhaustion) DB inefficiencies (Aurora MySQL/RDS indexing, query locks, IOPS limits) messaging/queue back-pressure (Kafka partitioning, consumer lag, throughput limits) network constraints (latency, load balancer settings, timeouts) Work hands-on with SRE, DevOps, and Backend teams to implement optimizations and verify the improvements. Prepare for Production Traffic: Ensure services are production-ready. Drive capacity planning exercises and stress tests to determine scaling lag/limits and failure modes. Verify that services can gracefully handle traffic spikes or component failures without violating SLAs or SLOs. Help partners configure autoscaling policies for sustained performance Loadtesting Infrastructure Setup&Tuning: Set up, audit, and operate performance testing infrastructure for our services load testing automation and geo-distributed load generator to simulate production traffic Performance Analysis & Experimentation: Approach performance issues with an performance analyst/architect mindset – form hypotheses, design experiments, run tests, and draw conclusions to configuration infrastructure and fix backend code. For example, if latency is high, hypothesize the cause (e.g. database index missing), test the hypothesis, and then make a the fix. Repeat this iterative process to methodically improve system performance. Business Impact Translation: Translate technical performance insights into business risks and opportunities. For instance, demonstrate how reducing latency or improving p95 response time can increase conversion rates or GMV. Communicate these insights to both engineers and non-technical stakeholders to underline the business value of performance work. Observability & Monitoring: Utilize observability tools to monitor performance during tests. Set up dashboards and alerts in Grafana/Prometheus and other systems (e.g. New Relic, Dynatrace, Zabbix, ELK Stack, Coroot), analyze traces and logs. Use few methods to interpret results and guide troubleshooting. Performance Tooling: Build internal performance tooling in Golang: Design and maintain internal tools for automation performance testing and analysis Load as a Service for product teams: traffic generators, load managers, mocks, test stubs, data feeders, and helper services used across partner integrations. Building load test scenarios to Jmeter (DSL framework) and k6 in JavaScript. Innovate on tooling to make load tests easier to create, run, and analyze for the whole team. CI/CD Integration: Integrate performance tests into our CI/CD pipeline as QG. Automate load tests run to every new integration or code change is evaluated for performance regressions. Ensure that build pipelines can catch and flag performance drops (e.g. increased response times, higher resource usage) before changes reach production. Reporting&Communication: Prepare executive-ready performance reports for engineering teams and C-level stakeholders. Highlight key metrics (p95/p99 latency, throughput, error rates, saturation signals) and identify primary scalability bottlenecks across services, databases, caches, and messaging systems, and compare results against SLOs and capacity targets. Provide clear root-cause explanations and actionable recommendations, including performance vs cost trade-offs, to support production readiness and Go/No Go decisions. Performance Culture: Champion a culture where performance = product quality. Educate and influence teams to treat performance testing as an integral, continuous part of the development lifecycle rather than a one-time task. Share best practices and success stories, ensuring that performance considerations are baked into design, coding, and testing processes from the start. Conducting production load and traffic validation experiments with full ownership of risk assessment, blast radius control, observability, and rollback procedures. Work with geo-distributed, high-load systems (200k+ RPS) and latency-sensitive mobile flows Set up production-like performance environments in AWS Conducting and modeling load tests in production Performance analytics → hypotheses → experiments → fixes → measurable business impact (latency, conversion, GMV) Skills, Knowledge and Expertise 5+ years in Performance/SRE/Load Testing Strong programming skills in Golang/Kotlin/Java Strong k6 or JMeter DSL - Performance Testing Mastery: Hands-on expertise with modern load testing tools, especially k6 and/or JMeter (and their scripting DSL). Deep understanding of performance best practice – you know when to apply load testing vs stress testing vs soak testing, and how to interpret the results of each. Hands-on experience with AWS infrastructure on for high-load systems: EKS, EC2, Auto Scaling Groups, ALB/NLB, VPC, subnets, routing, security groups Designing and tuning autoscaling strategies for compute (KEDA/Karpenter/Cluster Autoscaler, EC2 scaling policies) Understanding network performance characteristics: latency, cross-AZ traffic, NAT/egress limits, load balancer behavior under high RPS Profiling Golang, Kafka, Redis, DB tuning experience Automation loadtesting and make QG (JVM languages and Go) SRE mindset (RED/USE, SLO, error budgets) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: London, England About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities. We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years. What you’ll be doing You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality. Day-to-day in this role you’ll: Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost. Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs. Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads. Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently. Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery. Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help. Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general. Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil. Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams. Our humble expectations Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus. Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation. Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on. A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact. Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost. Clear communication, and the ability to bring people together around a practical technical direction. What we offer Scope and influence. Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence. Real problems at global scale. Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company. Autonomy and ownership. Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US. Growth. Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence. Great people. Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Bahrain Why Join IDS International? We offer a competitive, transparent compensation package designed to reward your commitment and expertise. Our benefits are structured to maximize your earnings and provide security, comfort, and career growth. Paid Incentives & Benefits Additional $1/hour premium on all hours worked—boost your earnings from day one. Cost of Living Allowance (COLA): $1,500/month —extra income to offset living expenses. Post Hardship Pay: 20% of base pay (e.g., $864/month for 160 hours)—recognizing the unique challenges of the assignment. End-of-Year Bonus: $5,000 for a full-year commitment R&R Travel Incentive: Unpaid 2 weeks every 6 months; if you choose not to travel home, receive travel cost paid directly to you twice a year! 401k Match: Secure your future with employer matching. W2 Employee Status: Full legal protections and benefits. Lodging & Transportation: All provided at no cost to you—single quarters, all amenities, and daily transport covered. Onboarding Timeline: 4–8 weeks from offer to deployment. Location: Bahrain ISA Air Base Hourly Rate: $17/hour Overtime Rate: $25.50/hour Requirements Certificates: Must have active CAG certificates/training (no older than 5 years). Clearance: Secret Ready to join the team? Join a team that values your skills, rewards your dedication, and supports your career growth. Whether you’re a seasoned CST or CAG, this package is designed to make your next move rewarding and secure.

Location: Arlington, VA, United States Job Title Armed Security Guard Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Menwith Hill, UK Anchorage, AK Bluffdale, UT San Antonio, TX Kunia, HI Washington DC Augusta, GA Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS International is hiring Shift Supervisors to support secure operations across multiple locations. Supervisors will oversee access control, physical security, and compliance during assigned shifts. Shift assignments may vary by site and operational needs, including day, swing, or night coverage. Key Duties Oversee access control at entry and exit points Maintain physical security of facilities Enforce compliance with security protocols Supervise security staff during assigned shifts Respond to and resolve security incidents Document shift activities and prepare reports Work flexible shifts based on operational needs Requirements High school diploma or equivalent required; associate or bachelor's degree preferred. 3+ years of experience in physical security, access control, or 3+ military/law enforcement. 2+ years in a supervisory or site lead role within a secure or 2+ classified environment. Possess knowledge of ICD 705, SCIF access procedures, and secure operations protocols. Maintain an active TS/SCI with Polygraph clearance. Familiarity with access control systems, VMS, and visitor access protocols. Compensation Competitive Hourly rates. Benefits Questions? Please reach out to lolney@idsinternational.com for additional questions or information.

Location: Arlington, VA, United States Job Title CST Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations OCONUS Shifts Available This position requires a one-year contract and is located outside of the continental United States (OCONUS). Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS International is looking for Construction Surveillance Technicians (CST) to support Department of State construction projects. CSTs monitor the construction activities of the workers and the material that will be installed and around secure areas. They inspect the material that will be installed in the area and manage the workers that are working in and around the secure area. Key Duties Control access to the construction sites. Screen and escort personnel within or to a construction site as appropriate. (For reasons of Safety and Security, only those persons whose names appear on the “Site Access List” will be permitted to enter the job site unescorted. The Site Access List will be provided by the Site Security Manager (SSM). Screen and escort all material and tools within or to a construction site. Maintain control of construction material within or to the construction site. Control the Secure Storage Area (SSA) and the material contained within. Monitor and observe the construction workers as they accomplish their various construction tasks. Ensure all equipment; materials and furnishings for use in specified areas are x-rayed and examined. Assist the SSM with, “Random Selection and Random Procurement” of materials required for construction and installation in, or contiguous to, controlled areas. Inspect all persons, packages, bags, boxes, crates, tools, and vehicles, prior to entering the construction site. Produce daily logs of all related activity and events. Report all security related incidents, in incident report format, to the SSM. Report all anomalies and incidents of a counterintelligence nature directly to the SSM. Requirements Hold an active Top Secret Clearance. Minimum of five (5) years of experience in one of the following areas: Construction security surveillance, Technical surveillance counter measures, Industrial or government security involving counterintelligence, or Construction quality assurance. Must be capable of analyzing designs and blueprints, and of recognizing the architect’s intended use. Must be able to walk up and down eight (8) floors of stairs repeatedly during the workday. Elevators may not be available for use on all construction areas. Read, write, and speak English fluently. Meet certain medical and physical fitness requirements and able to deploy to remote locations with all medications for up to one year. Hold an active passport. Compensation Competitive Hourly Pay Incentives, Benefits, and Bonuses Questions? Please reach out to lolney@idsinternational.com for additional questions or information.

Location: Arlington, VA, United States Job Title Cyber Virtualization Engineer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Arlington, VA Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description SITE 525 is seeking a highly skilled Cyber Virtualization Engineer to support the development and sustainment of advanced cyber training environments. This role involves hands-on engineering of secure, scalable, and AI-enabled virtual ranges that emulate realistic, adversarial network conditions across IT and OT domains. These environments are used for cyber mission rehearsals, red/blue/gray team operations, and full-spectrum cybersecurity exercises. Must be willing to travel up to 25%. Responsible for designing, deploying, and maintaining advanced virtualized training environments that replicate realistic, large-scale, and adversarial network conditions. This position focuses on engineering and integrating dynamic, hypervisor-driven platforms and virtualization technologies to support cyber mission rehearsals, red/blue/gray team operations, and full-spectrum training exercises. Key Duties Engineer and implement scalable virtualized environments leveraging hypervisors (KVM, VMware, Hyper-V), virtual machines, containers, and software-defined networking across hybrid, edge, and cloud infrastructures. Implement and manage virtualization stacks including private cloud platforms, hypervisor clusters, and orchestration frameworks for large-scale, multi-tenant environments. Develop automation and orchestration tooling for provisioning, snapshotting, and lifecycle management of virtualized assets using Infrastructure-as-Code and CI/CD pipelines. Integrate advanced traffic simulation capabilities (burst, steady-state, geo-distributed, AI/ML-driven) to emulate realistic user and system behaviors within virtual ranges. Build and maintain frameworks and tooling for user and NPC emulation across virtualized environments to enhance operational realism, including threat emulation and defensive toolsets for network monitoring, incident detection, and response. Implement observability pipelines for performance monitoring, traffic replay, autoscaling validation, and centralized logging in production-grade virtual infrastructures. Administer and secure hypervisor platforms and virtual networking components, ensuring isolation, resiliency, and compliance for mission-critical environments. Manage network and server infrastructure including Active Directory, identity management systems, and virtualized security controls. Integrate third-party virtualization and orchestration tools to improve fidelity and scalability of training environments. Support exercise operations including setup, execution, troubleshooting, and real-time scenario management for White Cell operations. Collaborate with technical working groups and stakeholders to validate and enhance virtualization strategies for cyber training environments. Apply knowledge of OT systems (SCADA, ICS, PLCs, IoT/IIoT) within virtualized contexts for realistic emulation. Relevant Technologies & Tools: Virtualization & Hypervisors: VMware ESXi/vSphere, KVM/QEMU, Microsoft Hyper-V, Proxmox, OpenStack Virtual Infrastructure Management: VM lifecycle management, snapshotting, cloning, orchestration frameworks Cloud & Containerization: Private cloud platforms, AWS, Azure, Kubernetes (K8s), Docker, Podman, hybrid and edge deployments Networking & SDN: Virtual switches (vSwitch, vDS), software-defined networking, network segmentation, VPNs, dynamic Network-as-Code tools Automation & IaC: Infrastructure-as-Code (Terraform, Ansible, Packer, Helm, Nomad ), CI/CD integration for infrastructure Performance & Observability: Metrics collection, centralized logging, traffic replay, load simulation, autoscaling validation Security in Virtualized Environments: Identity management, Active Directory (GPOs, tiered admin scripts), secure isolation of virtual ranges Cyber Range Engineering: Virtualized cyber training environments, adversarial network simulation, AI/ML-driven traffic emulation Traffic Simulation & User Emulation: Lariat, CMU GHOSTS, MITRE Caldera, Red Canary, Atomic Red Team, TRex, BreakingPoint, Locust, k6, custom Python/TypeScript scripts, AI-enabled agents Compliance & Assurance: NIST 800-series, ISO 27001, FedRAMP, CUI-compliant controls Monitoring & Control Interfaces: Custom dashboards for exercise operations, centralized scenario orchestration Requirements Bachelor’s or Master’s degree in Cybersecurity, Computer Engineering, or related field. 5+ years of experience in cyber engineering, network operations, or cyber range development. Top Secret security clearance. Proficiency in virtualization, containerization, and cloud technologies. Experience with offensive and defensive cybersecurity tools and frameworks. Familiarity with AI/ML integration in cyber environments. Strong scripting and automation skills (e.g., Python, Bash, PowerShell). Experience with infrastructure-as-code tools (e.g., Terraform, Ansible). Knowledge of OT systems and protocols. Security certifications (e.g., CISSP, CEH, OSCP) are a plus. Compensation Competitive Hourly Pay Benefits Questions? Please reach out to lolney@idsinternational.com for additional questions or information.

Location: Annapolis Junction, MD, United States Job Title Mid‑Level Systems Integration Engineer (Linux, Unix, C) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Mid‑Level Systems Integration Engineer to support enterprise computer systems and network operations. The engineer will manage and analyze system and network environments, translate user needs into technical solutions, support system migrations, and evaluate technologies to enhance agency standard solutions. Key Duties • Manage enterprise computer systems and networks by analyzing technical issues and implementing corrective actions • Monitor and interpret visual outputs indicating operational status of systems and network infrastructure • Translate user requests into technical diagnoses and implement solutions to meet operational needs • Develop and support migration strategies to transition customers to new architectures or technologies with minimal impact • Evaluate new technologies and equipment for integration into agency standard solutions Requirements • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Associate’s degree with seven (7) years, or high school diploma/GED with nine (9) years of relevant experience • Degree in Network Engineering, Systems Engineering, Information Technology, or related field • Strong experience with Linux systems • Experience in systems administration, network administration, application administration, or IT support • Experience supporting hardware installation such as servers or network infrastructure • Experience configuring storage solutions such as network‑attached storage • Experience implementing security best practices including PKI certificate generation, deployment, and maintenance • Knowledge of Unix shell scripting languages such as Bash, Bourne, or C • Must possess an IAT‑I certification (e.g., Security+ CE) • Relevant experience must include computer or information systems design or development, programming, information or cyber security, network security, vulnerability analysis, computer forensics, information assurance, or systems engineering • Experience in network or system administration • Active TS/SCI with Polygraph Compensation • Salary range: $110,000 – $130,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Senior‑Level Systems Engineer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level Systems Engineer to support the definition and implementation of system architecture for an Agent Knowledge Management System utilizing an agentic framework for automated knowledge extraction. The engineer will work closely with project leadership to manage system integration, deployment strategy, compliance, testing, validation, and lifecycle sustainment. Key Duties • Collaborate with project leadership to manage system integration efforts across multiple components and teams • Develop, maintain, and execute deployment strategies and processes to ensure smooth product delivery • Coordinate technical efforts across engineering, data science, and UX teams to support integrated delivery • Ensure compliance with system standards and best practices through testing, validation, and lifecycle sustainment • Decompose project requirements into actionable technical tasks and specifications • Develop and maintain technical plans, milestones, and support code review activities • Maintain system architecture, integration, and deployment documentation • Conduct security, performance, and quality audits to ensure compliance Requirements • Bachelor’s degree with nine (9) years of relevant experience, or Master’s degree with seven (7) years, or Doctoral degree with five (5) years • Degree in Engineering, Physics, Astronomy, or a related technical field (e.g., Computer Science, Mathematics) • Experience designing and sustaining engineering systems across the full system lifecycle • Experience decomposing requirements and supporting system integration efforts • Familiarity with Agile development and CI/CD practices • Active TS/SCI with Polygraph Compensation • Salary range: $150,000 – $170,000 • Benefits

Location: Edinburgh, IN, United States Senior Systems Engineer About SITE 525 SITE 525 is at the forefront of delivering cutting-edge training solutions for information maneuver specialists. Our mission is to empower the warfighter with realistic, high-fidelity training environments that simulate the challenges of modern information warfare. SITE 525 is looking for a Senior Systems Engineer to join our team support the Cybertropolis Technology Environment Platform (CTEP). The CTEP provides a one-of-a-kind platform for DoD and Joint, Interagency, Intergovernmental, and Multinational (JIIM) partners to conduct training or Research, Development, Testing & Experimentation (RDT&E) in a wide variety of emerging technology areas, but primarily related to cyberspace and cyber-electromagnetic (CEMA) operations. This position may require the employee to travel within the CONUS and to keep a flexible 40-hour week. This role sits at Camp Atterbury in Indiana and is contingent upon award. Responsibilities: Manage, maintain, troubleshoot, and restore hardware, operating systems, applications, and software including updates, security patches, and backups. Engineer, build, and configure computer networks including routing, switching, firewalls, DNS, Active Directory, VPNs, VLANs, SANs utilizing bare metal systems as well as virtualized systems (VMware). Collaborates with others to develop the best way to tackle complex technological infrastructure, security, or development problems. Participates in architecture and software development activities. Tier 2 engineering and administration support for customer events, as required. Working in ambiguous environment and collaborating across multiple areas. Required Qualifications: Windows and Linux enterprise systems engineering and administration experience. Experience working with a wide variety of technology including but not limited to:  Cellular systems, camera systems, Industrial Control Systems, Internet of Things (IoT) devices, building management systems, and radio frequency (RF) communications devices. Meet IAT Level 2 requirements of DoD 8570.1M by holding one of the following: CCNA Security CySA+ ** GICSP GSEC Security+ CE CND or SSCP. Bachelor’s degree in a technical discipline or equivalent experience in network operations Hold or be able to acquire an interim Top Secret clearance within 30 days of hire. Maintain active Top Secret/SCI Security Clearance. Preferred Qualifications: Operational experience in Cyberspace Operations and/or Information Warfare Cellular and Industrial Control Systems engineering and administration experience. Experience with containers and container orchestration services, automation, provisioning, and imaging, with products such as Ansible, Terraform, Kubernetes, Chef, FOG Projects, etc. Exercise design, test and evaluation, modeling, and simulations, as well as research and development familiarity. Computer Skills: Working knowledge of Microsoft Office (Word, Excel, and PowerPoint). Cloud, physical, and virtual network engineering experience required. Experience with hypervisors such as VMware, CypherPath, KVM, etc. Benefits eligibility may vary based on project site or contract but typical benefits are listed below.

Location: Arlington, VA, United States Job Title Cleared American Guard Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Location OCONUS Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description This position requires a one-year contract and is located outside of the continental United States (OCONUS). Key Duties Ensure that all persons, packages, bags, boxes, crates, vehicles, or other means of introducing material onto the construction site or into the secure areas are inspected for questionable or prohibited items. Denying introduction of prohibited materials such as explosives, weapons, electronic devices, or other items as specified by the Accrediting Official (AO) or designee. Conducting random inspections of all site areas to ensure no prohibited materials have been brought on to the site. All suspicious materials or incidents shall be brought to the attention of the SSM or TL. Surveil the perimeter and internal secure areas through the use of Government-furnished closed-circuit television (CCTV) systems and other intrusion detection systems (IDS). Rove the construction site after-hours, per the Site Security Manager’s orders, to protect the integrity of Controlled Access Areas (CAA) and its materials. Requirements Hold an active Top Secret Clearance . Successful completion of a DoD SE 630 (CAG course). Minimum of three (3) years of military experience as a Military Police Officer, Marine Security Guard, or similar force protection position with three years’ experience as a security watch stander whose duties included the use of alarm systems, metal detectors, x-ray devices and closed-circuit television. (Honorable discharge is required if applicable) High school diploma or GED. Meet certain medical and physical fitness requirements and able to deploy to remote locations with all medications for up to one year. Hold an active passport. Read, write, and speak English fluently. Compensation Competitive Hourly rates. Medevac and travel insurance. Contract completion bonus. Department of State Cleared American Guard Training course. Per Diem provided at Department of State rates. Uniforms to include appropriate weather based on location. Overseas lodging provided. Questions? Please reach out to lolney@idsinternational.com for additional questions or information.

Location: Alexandria, VA, United States Cleared Escort with TS/SCI Clearance with Full Scope Poly Alexandria, VA Join IDS International’s National Security Services team supporting secure & mission-critical environments. Cleared Escorts support secure facility operations by escorting uncleared personnel within government environments and ensuring compliance with established security procedures. This role operates in a high-visibility setting with continuous interaction with customer and government stakeholders. Escorts are responsible for maintaining situational awareness, enforcing escort protocols, and representing the program professionally in a customer-facing environment. Key Responsibilities Escort and monitor uncleared personnel within secure facilities Ensure compliance with customer and government security procedures Maintain constant awareness of escorted personnel Communicate effectively with security staff, vendors, and site leadership Represent the program professionally in a customer-facing role Required Qualifications Clearance : Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance with Full Scope (FS) Polygraph required Citizenship : U.S. Citizen Required Experience : Ability to escort and monitor personnel within secure environments Ability to ensure compliance with established security procedures Ability to always maintain awareness of personnel and surroundings Ability to communicate effectively with staff, vendors, and leadership Ability to work in a customer-facing environment Physical Requirements : Must be able to sit, stand, walk, bend, and move throughout secure facilities for extended periods of time Position may require occasional lifting and/or movement of moderate amounts of weight, depending on assignment requirements Preferred Qualifications Strong communication and interpersonal skills Reliable, punctual, and dependable Ability to work independently with minimal supervision Team-first mindset Basic computer proficiency (email, scheduling, tracking) Prior customer service experience Previous government or customer-site experience Construction or vendor oversight experience Experience working in complex or fast-paced environments Comfortable overseeing diverse teams and personalities Work Schedule & Conditions Standard Schedule : Monday–Friday, 0600–1430 or 0700–1530 Hours : Guaranteed 40 hours per week Overtime : Overtime opportunities available (time and a half) Flexibility Requirement : Must be available for occasional weekend 0700–1530 and overnight 2100–0500 shift support; Must be willing and able to travel between customer sites as needed or requested. Compensation & Benefits Rate : $ 49.00 per hour OT Rate : $ 73.50 per hour (for hours worked over 40/week) Health, 401(k), PTO & Sick Leave, and Paid Holidays are available to all W2 employees of IDS . Apply Apply to learn more about this opportunity. A National Security Services Recruiter will contact you to discuss the position and next steps — please monitor your email. ___ Our Cleared Staffing Center of Excellence (COE) is a dedicated hub for secure and efficient talent acquisition. We connect a vetted network of cleared professionals with Intelligence Community (IC) staffing needs and trusted B2B partners. Follow us on LinkedIn to stay up to date on current opportunities, program updates, and company news.

Location: Arlington, VA, United States Cleared Escort with TS/SCI Clearance with Full Scope Poly Arlington, VA Join IDS International’s National Security Services team supporting secure & mission-critical environments. Cleared Escorts support secure facility operations by escorting uncleared personnel within government environments and ensuring compliance with established security procedures. This role operates in a high-visibility setting with continuous interaction with customer and government stakeholders. Escorts are responsible for maintaining situational awareness, enforcing escort protocols, and representing the program professionally in a customer-facing environment. Key Responsibilities Escort and monitor uncleared personnel within secure facilities Ensure compliance with customer and government security procedures Maintain constant awareness of escorted personnel Communicate effectively with security staff, vendors, and site leadership Represent the program professionally in a customer-facing role Required Qualifications Clearance : Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance with Full Scope (FS) Polygraph required Citizenship : U.S. Citizen Required Experience : Ability to escort and monitor personnel within secure environments Ability to ensure compliance with established security procedures Ability to always maintain awareness of personnel and surroundings Ability to communicate effectively with staff, vendors, and leadership Ability to work in a customer-facing environment Physical Requirements : Must be able to sit, stand, walk, bend, and move throughout secure facilities for extended periods of time Position may require occasional lifting and/or movement of moderate amounts of weight, depending on assignment requirements Preferred Qualifications Strong communication and interpersonal skills Reliable, punctual, and dependable Ability to work independently with minimal supervision Team-first mindset Basic computer proficiency (email, scheduling, tracking) Prior customer service experience Previous government or customer-site experience Construction or vendor oversight experience Experience working in complex or fast-paced environments Comfortable overseeing diverse teams and personalities Work Schedule & Conditions Standard Schedule : Monday–Friday, 0600–1430 or 0700–1530 Hours : Guaranteed 40 hours per week Overtime : Overtime opportunities available (time and a half) Flexibility Requirement : Must be available for occasional weekend 0700–1530 and overnight 2100–0500 shift support; Must be willing and able to travel between customer sites as needed or requested. Compensation & Benefits Rate : $ 49.00 per hour OT Rate : $ 73.50 per hour (for hours worked over 40/week) Health, 401(k), PTO & Sick Leave, and Paid Holidays are available to all W2 employees of IDS . Apply Apply to learn more about this opportunity. A National Security Services Recruiter will contact you to discuss the position and next steps — please monitor your email. ___ Our Cleared Staffing Center of Excellence (COE) is a dedicated hub for secure and efficient talent acquisition. We connect a vetted network of cleared professionals with Intelligence Community (IC) staffing needs and trusted B2B partners. Follow us on LinkedIn to stay up to date on current opportunities, program updates, and company news.

Location: Culpepper, VA, United States Cleared Escort with TS/SCI Clearance with Full Scope Poly Culpepper, VA Join IDS International’s National Security Services team supporting secure & mission-critical environments. Cleared Escorts support secure facility operations by escorting uncleared personnel within government environments and ensuring compliance with established security procedures. This role operates in a high-visibility setting with continuous interaction with customer and government stakeholders. Escorts are responsible for maintaining situational awareness, enforcing escort protocols, and representing the program professionally in a customer-facing environment. Key Responsibilities Escort and monitor uncleared personnel within secure facilities Ensure compliance with customer and government security procedures Maintain constant awareness of escorted personnel Communicate effectively with security staff, vendors, and site leadership Represent the program professionally in a customer-facing role Required Qualifications Clearance : Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance with Full Scope (FS) Polygraph required Citizenship : U.S. Citizen Required Experience : Ability to escort and monitor personnel within secure environments Ability to ensure compliance with established security procedures Ability to always maintain awareness of personnel and surroundings Ability to communicate effectively with staff, vendors, and leadership Ability to work in a customer-facing environment Physical Requirements : Must be able to sit, stand, walk, bend, and move throughout secure facilities for extended periods of time Position may require occasional lifting and/or movement of moderate amounts of weight, depending on assignment requirements Preferred Qualifications Strong communication and interpersonal skills Reliable, punctual, and dependable Ability to work independently with minimal supervision Team-first mindset Basic computer proficiency (email, scheduling, tracking) Prior customer service experience Previous government or customer-site experience Construction or vendor oversight experience Experience working in complex or fast-paced environments Comfortable overseeing diverse teams and personalities Work Schedule & Conditions Standard Schedule : Monday–Friday, 0600–1430 or 0700–1530 Hours : Guaranteed 40 hours per week Overtime : Overtime opportunities available (time and a half) Flexibility Requirement : Must be available for occasional weekend 0700–1530 and overnight 2100–0500 shift support; Must be willing and able to travel between customer sites as needed or requested. Compensation & Benefits Rate : $ 49.00 per hour OT Rate : $ 73.50 per hour (for hours worked over 40/week) Health, 401(k), PTO & Sick Leave, and Paid Holidays are available to all W2 employees of IDS . Apply Apply to learn more about this opportunity. A National Security Services Recruiter will contact you to discuss the position and next steps — please monitor your email. ___ Our Cleared Staffing Center of Excellence (COE) is a dedicated hub for secure and efficient talent acquisition. We connect a vetted network of cleared professionals with Intelligence Community (IC) staffing needs and trusted B2B partners. Follow us on LinkedIn to stay up to date on current opportunities, program updates, and company news.

Location: Springfield, VA, United States Cleared Escort with TS/SCI Clearance with Full Scope Poly Springfield, VA Join IDS International’s National Security Services team supporting secure & mission-critical environments. Cleared Escorts support secure facility operations by escorting uncleared personnel within government environments and ensuring compliance with established security procedures. This role operates in a high-visibility setting with continuous interaction with customer and government stakeholders. Escorts are responsible for maintaining situational awareness, enforcing escort protocols, and representing the program professionally in a customer-facing environment. Key Responsibilities Escort and monitor uncleared personnel within secure facilities Ensure compliance with customer and government security procedures Maintain constant awareness of escorted personnel Communicate effectively with security staff, vendors, and site leadership Represent the program professionally in a customer-facing role Required Qualifications Clearance : Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance with Full Scope (FS) Polygraph required Citizenship : U.S. Citizen Required Experience : Ability to escort and monitor personnel within secure environments Ability to ensure compliance with established security procedures Ability to always maintain awareness of personnel and surroundings Ability to communicate effectively with staff, vendors, and leadership Ability to work in a customer-facing environment Physical Requirements : Must be able to sit, stand, walk, bend, and move throughout secure facilities for extended periods of time Position may require occasional lifting and/or movement of moderate amounts of weight, depending on assignment requirements Preferred Qualifications Strong communication and interpersonal skills Reliable, punctual, and dependable Ability to work independently with minimal supervision Team-first mindset Basic computer proficiency (email, scheduling, tracking) Prior customer service experience Previous government or customer-site experience Construction or vendor oversight experience Experience working in complex or fast-paced environments Comfortable overseeing diverse teams and personalities Work Schedule & Conditions Standard Schedule : Monday–Friday, 0600–1430 or 0700–1530 Hours : Guaranteed 40 hours per week Overtime : Overtime opportunities available (time and a half) Flexibility Requirement : Must be available for occasional weekend 0700–1530 and overnight 2100–0500 shift support; Must be willing and able to travel between customer sites as needed or requested. Compensation & Benefits Rate : $ 49.00 per hour OT Rate : $ 73.50 per hour (for hours worked over 40/week) Health, 401(k), PTO & Sick Leave, and Paid Holidays are available to all W2 employees of IDS . Apply Apply to learn more about this opportunity. A National Security Services Recruiter will contact you to discuss the position and next steps — please monitor your email. ___ Our Cleared Staffing Center of Excellence (COE) is a dedicated hub for secure and efficient talent acquisition. We connect a vetted network of cleared professionals with Intelligence Community (IC) staffing needs and trusted B2B partners. Follow us on LinkedIn to stay up to date on current opportunities, program updates, and company news.