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L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Member Engineering Staff - Embedded Software Engineer Job Code: 41906 Job Location: Camden, NJ (On-Site) Schedule: 9/80 Regular (Every Other Friday Off) Position is to be based in the historic L3Harris Camden Waterfront Campus! L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers’ mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: The L3Harris is seeking a Software Engineer to be based in the historic L3Harris Camden Waterfront Campus. Responsibilities include the translation of requirements into working and maintainable solutions for our Integrated Systems & Encription team. The selected candidate will apply technical proficiency across various stages of our Software Development Life Cycle (SDLC), gather requirements and work closely with stakeholders to prioritize and scope tasks. The selected candidate will be working as a key team member on a Scrum team and will be instrumental in setting our direction and strategy for product and infrastructure development. Tasks include: • Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target hardware., • Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system., • Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, hardware-software integration, and formal test., • Develop software test plans and procedures, and other relevant technical documentation., • Utilize modeling tools and equipment to establish operating data, conduct experimental tests, prototype, and evaluate results., • Participate in peer reviews, identify, track and repair defects., • Utilize a variety of software languages (primarily Java/C/C++ and Python), in Windows, Linux (RHEL 7/8), mobile platforms, and embedded real time operating systems (VxWorks, Linux, Integrity, and others for Motorola, Intel, TI, and custom processor designs)., • Participate in peer reviews, identify, track and repair defects., • Develop software test plans and procedures, and other relevant technical documentation., • Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, hardware-software integration, and formal test., • Investigate root cause of complex issues, and implement solutions, working independently or with a multi-discipline team., • Developing Software utilizing Modern Cloud Application Development tools and standards., • Utilize modeling tools and equipment to establish operating data, conduct experimental tests, prototype, and evaluate results., • Usage of Platform as a Service and Infrastructure as a Service technologies, such as VMWare, OpenShift, or similarExperience with Red Hat Enterprise Linux., • Ability to obtain and maintain a US Security Clearance. Required Qualifications: • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field and 4 years of prior applicable experience; or, a Masters Degree with 2 years of related experience., • At least 2 years of experience developing software in Java, C, and/or C++ and debugging application and cloud-based applications., • Exposure to debugging embedded applications on simulated and target hardware., • Hardware / Software Integration experience., • Experience with Rational Team Concert (RTC), or Jira. Preferred Additional Skills: • Experience with Agile Scrum Practices., • Active Department of Defense (DoD) SECRET clearance., • Excellent oral and written communication skills., • Experience developing device drivers and software for integrated communication systems., • Object-oriented design and implementation experience, with exposure to software modeling and UML., • Knowledge of network architectures and protocols., • Experience with commercial telephony software packages, such as Asterisk., • Experience with implement Risk Management Framework (RMF) security control across application software., • Experience with static analysis, code coverage tools, and automated test frameworks., • Experience with communication systems (VOIP/DSL). In compliance with pay transparency requirements, the salary range for this role is $94,341.00 - $156,188.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. #LI-IK L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in or . For information regarding your Right To Work, please click here for or .

Job Description Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills — someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders. As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams. Responsibilities • Work directly with clients to understand business goals, data challenges, and technical requirements • Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews, • Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources., • Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases, • Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks, • Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security Minimum Requirements • Bachelor’s degree in computer science or related field, • 6+ years of experience in data engineering, data platform development, or cloud data solutions, • 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies, • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL, • Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI, • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.), • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies Preferred Qualifications • Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment., • Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents, • Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements, • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description CampusWorks is seeking an Infrastructure Administrator to provide hands-on administration and operational support for client datacenter, server, cloud-connected, security, and network infrastructure. The primary focus of this position is the administration, maintenance, monitoring, and operational stability of enterprise systems and datacenter technologies, including Microsoft server environments, identity and access services, virtualization platforms, infrastructure monitoring, security controls, and related technologies. The position also supports campus networking infrastructure as operational needs arise. The Infrastructure Administrator formally reports to the Associate CIO and operates as a member of the institution's infrastructure team. Day-to-day technical direction, infrastructure priorities, work assignments, project delegation, technical review, and operational coordination are led by the Senior Infrastructure Engineer, who serves as the primary technical lead for systems, networking, security, and datacenter infrastructure. The position works closely with the Senior Infrastructure Engineer, Network Engineer, Associate CIO, institutional technology leadership, CampusWorks Centers of Excellence (CoEs), other IT teams, and external vendors to maintain reliable, secure, and supportable technology services and advance infrastructure modernization initiatives. Essential Job Duties: Install, configure, administer, maintain, patch, and upgrade Microsoft Windows Server and related enterprise infrastructure technologies. Support core infrastructure and identity services including Active Directory, Group Policy, DNS, DHCP, certificate services, file services, Microsoft Entra ID, Microsoft 365, Google Workspace, Azure-connected services, and hybrid identity technologies. Administer and support enterprise virtualization platforms and associated server infrastructure, including provisioning, configuration, monitoring, troubleshooting, performance, and lifecycle management. Monitor the health, availability, capacity, and performance of infrastructure systems; investigate alerts, service degradation, failures, and other abnormal conditions. Perform and support patching, vulnerability remediation, infrastructure hardening, identity and access controls, certificate management, and other activities required to maintain secure and supportable systems. Support enterprise backup, storage, recovery, and business continuity technologies, including validation and troubleshooting of backup and recovery processes. Diagnose and resolve infrastructure issues involving servers, operating systems, authentication, virtualization, storage, security controls, and network connectivity; perform root-cause analysis as appropriate. Install and maintain physical server and datacenter infrastructure, including equipment installation, rack and cable management, hardware replacement, and physical troubleshooting. Support campus network infrastructure as needed, including switches, wireless access points, VLANs, firewalls, VPN technologies, network connectivity, and structured cabling. Troubleshoot network-related issues and collaborate with the infrastructure team, including the Senior Infrastructure Engineer and Network Engineer, on network changes, implementations, troubleshooting, and escalations. Assist with infrastructure automation, scripting, configuration management, monitoring, and other initiatives designed to improve operational consistency, reliability, and efficiency. Provide infrastructure escalation support to service desk, applications, and other IT teams and collaborate across technical teams on incident and problem resolution. Own assigned technical tasks and project deliverables and contribute to infrastructure modernization, cybersecurity, cloud, systems, networking, and technology transformation initiatives. Collaborate with CampusWorks CoEs, vendors, consultants, and institutional stakeholders on infrastructure operations, implementations, projects, procurement, licensing, and technology lifecycle management. Create and maintain accurate technical documentation, including system configurations, procedures, diagrams, troubleshooting information, knowledge articles, incidents, requests, changes, and project activities. Follow established change management, security, technical, and operational standards while exercising appropriate independent judgment and escalating higher-risk or architecturally significant matters when necessary. Provide after-hours support for scheduled maintenance windows and infrastructure emergencies as needed and perform other duties based on CampusWorks and client operational requirements. Required Qualifications: Associate's degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education and relevant professional experience. Four or more years of directly relevant professional experience may be considered in lieu of formal degree requirements. Minimum of 3 years of relevant professional experience supporting enterprise systems, server infrastructure, datacenter technologies, networking, or a comparable technical environment. Working knowledge of Microsoft Windows Server administration and core enterprise technologies including Active Directory, Group Policy, DNS, DHCP, authentication, and identity management. Experience supporting virtual server environments and a working understanding of enterprise virtualization concepts. Working knowledge of TCP/IP networking, switching, VLANs, wireless networking, firewalls, VPN technologies, and general network troubleshooting. General understanding of infrastructure security practices including least privilege, patch management, vulnerability remediation, systems hardening, authentication, and secure configuration. Demonstrated ability to independently troubleshoot technical issues of moderate complexity, perform root-cause analysis, and recognize when additional technical review or escalation is appropriate. Ability and willingness to perform hands-on datacenter work including equipment installation, cabling, hardware replacement, and physical troubleshooting. Strong written and verbal communication, organizational, documentation, and collaboration skills, with the ability to work independently while managing multiple priorities. Preferred Qualifications: Experience administering Microsoft Windows Server, Active Directory, Group Policy, Microsoft Entra ID, Microsoft 365, Azure, Google Workspace, or hybrid identity environments. Experience with enterprise virtualization technologies such as Microsoft Hyper-V, VMware vSphere, or comparable platforms. Experience with infrastructure monitoring, remote monitoring and management (RMM), endpoint/server management, patch management, backup, disaster recovery, storage, or configuration management technologies. Experience with PowerShell, Python, Bash, Batch, or other scripting and automation technologies. Linux or Unix administration experience. Experience supporting enterprise networking technologies such as Aruba, Brocade/Ruckus, Fortinet, Cisco, or comparable platforms, including wireless, switching, firewalls, VLANs, and VPN technologies. Familiarity with infrastructure security practices including vulnerability remediation, certificate management, privileged access management, systems hardening, and applicable industry standards and best practices.

Job DescriptionDescriptionWork Schedule includes working Weekends and Holidays. Onsite Schedule: 3rd Shift 11PM to 8AM. Days Onsite: Friday/Saturday/Sunday/Monday/Tuesday Be Part of the Team Behind the Game Are you ready to bring your network expertise to the global stage of one of the biggest professional sports leagues in the US? Blue Mantis is seeking a highly skilled and versatile, Swiss Army Knife IT Operations Engineer to support enterprise-class data centers and ensure seamless network operations. This role focuses on ensuring high availability and performance of network infrastructure while contributing to game-day success. The ideal candidate will be a proactive and adaptable professional with a passion for innovation, an ability to multitask and reprioritize in real-time and a commitment to delivering excellence in a fast-paced, mission-critical environment. This candidate will be proficient in supporting server and cloud environments but should also have experience with networking as this team will be supporting a wide array of technologies to support the company infrastructure and game day operations. If you thrive under pressure and excel at managing complex technical challenges, this is your opportunity to make an impact. Working for Blue Mantis at this customer, you’ll operate in a high-pressure, high-reward environment, directly impacting game-day success and ensuring a successful fan experience. Bring your technical prowess, leadership and passion for innovation to the league’s fast-paced and mission-critical IT environment. Key Responsibilities • Server Administration: Manage and maintain Windows, Linux, and Unix environments to ensure optimal performance., • Cloud Operations: Administer cloud platforms including AWS, Azure, and O365 for enterprise workloads and containerization., • Virtualization: Manage, configure, and troubleshoot VMware-based environments to ensure optimal performance, scalability, and availability of virtualized infrastructure., • System Monitoring: Leverage platforms such as SolarWinds and DataDog to ensure network reliability and performance., • Incident Management: Lead network-related incident resolution, ensuring SLAs are met and escalating issues when necessary., • Security Best Practices: Implement and support secure networking solutions, ensuring robust protection in on-premise and cloud environments., • Documentation: Create and maintain detailed network documentation, including topology maps and procedures for troubleshooting. Skills, Knowledge and ExpertiseRequired Skills • Strong experience Cisco Nexus/Arista/Meraki Switches, Cisco Wireless Controllers, Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Strong experience in NOC operations with expertise in Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Hands-on experience with cloud platforms (AWS, Azure, O365, VMware) and virtualization/containerization technologies., • Backup and DR Support: Experience supporting and troubleshooting backup and disaster recovery solutions such as Rubrik and Zerto, ensuring data protection and system resilience., • Hands-on experience with firewalls, routing protocols, and network monitoring tools like SolarWinds., • Familiarity with automation tools and scripting, • Excellent problem-solving skills with the ability to adapt to dynamic priorities.Preferred Skills, • Network troubleshooting in data center environments. (Cisco, Palo Alto, Meraki), • Proficiency in scripting languages (Python, PowerShell, Bash) for automating server and cloud operations., • Familiarity with cloud-based networking solutions in AWS, Azure, or O365 environments., • Knowledge of infrastructure capacity planning and performance tuning., • Knowledge of Kubernetes, Docker, and container orchestration for managing distributed applications., • Familiarity with security best practices, SIEM platforms, and endpoint protection., • Experience with advanced video streaming technologies and CDNs., • Familiarity with infrastructure performance tuning and capacity planning.Qualifications, • Provide game day support on major holidays when games are played., • Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent hands-on experience., • Certifications: CCNA, CCNP (or equivalent) ITIL and technical certifications in, servers and/ or cloud (preferred)., • Experience: Demonstrated expertise in a complex, multisite environment.Base Salary Range: $120,000.00 - $165,000.00 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of the work being performed by employees in this role. It is not intended to be a complete list of all responsibilities, duties, and skills required. BenefitsWhat You’ll Gain • The unique opportunity to be part of the league’s technological foundation., • A challenging, high-energy workplace with direct impact on game-day success., • Hands-on experience with cutting-edge technologies in a mission-critical environment., • Opportunities for growth, learning, and professional development.

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly. Requirements: • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment., • Passion for innovation and a keen interest in staying updated with the latest AI trends. Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.

Job Description About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: The Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high-quality, analytics-ready data available to our AI and Analytics teams. This role will own ingestions, transformation, and storage patterns using services such as Lambda, Glue, Athena, and S3, ensuring data is reliable, well-documented, and aligned with business and model-training needs. The role will also partner with Data Science to support MLOps, including reproducible machine-learning training and scoring pipeline, automated feature generation, deployment, and monitoring. It will power ML model workflows using sensitive healthcare data and support model training and scoring, production monitoring, and business feedback loops. Key Responsibilities: • Design, implement, and maintain scalable, fully serverless data pipelines on AWS using Lambda, Glue, Athena, Step Functions, and S3 to support reporting, analytics, and AI use cases., • Build and evolve data models and schemas that enable performant querying and downstream consumption by AI, Analytics and engineering teams. Build versioned data models, feature stores, with semantics, reproducible backfills, and safeguards against leakage or inconsistent definitions., • Develop ETL/ELT workflows to ingest, cleanse, transform, and load data from internal applications, third‑party sources, and event streams into our data lake and analytical layers., • Partner closely with Product, Underwriting, Analytics, and AI stakeholders to understand data requirements and translate them into robust data structures, contracts, and SLAs., • Implement data quality controls, monitoring, and alerting to ensure accuracy, completeness, timeliness, and lineage of critical datasets and features used by models. Include automated controls for schema change, validity, reconciliation, claims maturity, and model leakage., • Optimize serverless workloads for cost, performance, and scalability, including query tuning in Athena and efficient storage formats/partitioning in S3., • Contribute to and enforce data engineering best practices, including version control, code review, CI/CD for data pipelines, and Infrastructure as Code with AWS CDK., • Collaborate with AI and Analytics teams to design and maintain feature stores and other reusable data assets that accelerate experimentation and model deployment. Partner on batch or API scoring and capture model/data versions, recommendations, actions, overrides, and claims to close the learning loop., • Experience designing and operating event-driven or streaming data pipelines for near-real-time scoring or decisioning, using Kafka, Amazon Kinesis, or comparable technologies; strong understanding of event schemas, idempotency, ordering, retries, observability, and failure recovery., • Troubleshoot pipeline issues, resolve data‑related incidents, and provide ongoing support for production data workflows and model‑driven applications., • Document data models, pipelines, and data contracts, and help evangelize data literacy and self‑service analytics across the organization.Required Skills & Qualifications:, • Strong experience with AWS data and serverless services (Lambda, Glue, Athena, S3, Step Functions or similar orchestration tools)., • Advanced proficiency in Python (required) and SQL, with experience in relational and NoSQL databases and in building reusable ETL/ELT libraries. Hands-on experience with PySpark for distributed data processing is strongly preferred; TypeScript experience for AWS CDK required., • Experience with MLOps practices, including versioned feature and training datasets, orchestration of training and scoring workflows, CI/CD, model/data monitoring, and reproducible deployments in partnership with AI., • Solid understanding of data modeling principles for AI workloads. Apply schema evolution, incremental processing, partitioning, and columnar or open-table formats such as Parquet and Iceberg., • Experience designing and operating data pipelines at scale, including batch and near‑real‑time ingestion. Hands-on experience with Kafka is preferred., • Familiarity with SQL and query optimization in columnar data stores and engines., • Knowledge of data quality, governance, and security for sensitive healthcare and financial data, including least-privilege access, retention, classification, tokenization, and de-identification., • Hands‑on experience with Infrastructure as Code, preferably AWS CDK, for provisioning and managing data infrastructure., • Ability to partner with AI and Analytics teams to design data solutions for model experimentation and production; Kedro or similar workflow experience is a plus., • Knowledge of responsible AI and data-use practices, including permitted-use controls, privacy, fairness considerations, documentation, and governance for sensitive healthcare and financial data., • Strong communication skills to explain complex data concepts clearly to business stakeholders; regulated-domain experience, preferably healthcare claims or insurance, is a plus.Minimum Requirements:, • Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience; a master's degree is preferred., • 5+ years in data engineering or a related role, with significant ownership of production data pipelines and analytics platforms; hands-on ML/AI experience supporting feature preparation, model training, deployment, or monitoring is strongly preferred., • Experience with AWS data services in a production environment (for example, Lambda, Glue, Athena, and S3) is preferred; equivalent production experience on another cloud data platform will be considered., • Experience building and maintaining data solutions that support reporting, BI, and/or AI/ML initiatives. Perks & Benefits: • Fully paid medical, dental, and vision benefits., • Flexible PTO, • 401k company contribution, • Tuition reimbursement, • Professional development allowance, • Transportation allowance and daily parking reimbursement, • Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow's needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address.Disclosures:ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.California Applicants: See Pareto's CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, "Pareto") collects and uses personal information submitted by employment applicants.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionDescriptionAbout The Role: Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a Software Engineer to be part of our Missile Defense team and based out of our Mount Laurel, NJ location. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Clearance & Location Requirements: • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance., • This is a fully on-site position, based out of our Mount Laurel, NJ location. Key ResponsibilitiesWhat You Will Do: • Design, develop, test, and maintain software applications and services., • Collaborate with cross-functional teams to implement features, resolve defects, and enhance system capabilities., • Develop high-quality, maintainable code in accordance with engineering, security, and quality standards., • Participate in code reviews, troubleshooting, and root-cause analysis activities., • Integrate software components, APIs, and third-party technologies into existing systems., • Support software deployment, modernization, and continuous improvement efforts., • Create and maintain technical documentation, design artifacts, and operational procedures., • Contribute throughout the software development lifecycle, from requirements analysis through deployment and sustainment. Skills, Knowledge & Expertise Who You Are (Required): Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics, Data Science, Cybersecurity, or a related technical discipline (or equivalent professional experience). 4+ years of professional software development experience. Experience developing software using one or more programming languages such as C++, Java, Python, or JavaScript. Experience with Git or similar version control systems. Experience working in Linux-based environments. Familiarity with SQL and relational database technologies (e.g., PostgreSQL). Familiarity with container technologies such as Docker, Podman, or OCI-compliant containers. Strong analytical, troubleshooting, and problem-solving skills. Ability to work effectively in a collaborative team environment. Ability to travel up to 10% as required. What Makes You Stand Out: Knowledge of Aegis Weapon System concepts, architectures, or related combat systems. Experience supporting the development, modernization, or sustainment of complex software systems. Experience with scripting and automation using languages such as Python, Bash, PowerShell, or Groovy. Familiarity with CI/CD pipelines, automated testing, and modern software delivery practices. Experience working within Agile development environments. Familiarity with DevSecOps principles and secure software development practices. Experience with cloud-native technologies, container orchestration, or platform engineering concepts. Strong written and verbal communication skills, including the ability to document technical solutions and communicate project status effectively. Demonstrated initiative, ownership, and ability to independently drive technical tasks to completion If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network. Pay Range*: $114,000-$184,000 or $135,000 - $231,000 *Pursuant to New Jersey Senate Bill 2310 IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. Job BenefitsWhy Work at Innovative Defense Technologies (IDT): IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including: • Generous benefits package, • Competitive PTO, • Paid holidays, • 401(k) with immediate vesting and matching, • 9/80 optional schedule (2nd and 4th Friday off every month), • Tuition Assistance Reimbursement Program, • Professional Development Resources, • Pre-Tax Commuter Benefits, • Organization-Wide Monthly Tech Connect Events, • Annual Employee Recognition Awards, • Regular Social Events and Catered Lunches EEO Statement:IDT is an Equal Opportunity employer.

Job DescriptionDescription: We're a robotics company building autonomous systems that operate in complex, dynamic environments. We're hiring a Manipulation Engineer to design, implement, and deploy manipulation algorithms for arms mounted on dynamic legged robots operating in the real world. You'll build task and motion planning, grasping, and control pipelines in real-time software, and own their performance all the way down to hardware. This role suits engineers who thrive on high-velocity problem solving, deep technical ownership, and hands-on testing and validation. How leveling works This is one role, open at the Senior, Staff, or Lead level. The responsibilities below reflect the core of the role at every level. You don't need to decide which level fits you before applying. The selected candidate will be placed at the level commensurate with the skills, scope, and experience they demonstrate through the interview process, and the offer will align with that level. Senior and Staff are individual-contributor positions. Lead carries the same technical scope plus people-leadership responsibilities, for candidates who want them. What you'll do (all levels) • Architect end-to-end manipulation frameworks, from high-level task planning down to perception and low-level joint control, • Develop trajectory planning, obstacle avoidance, and real-time motion generation, • Implement grasping strategies using proprioception and vision, for rigid and deformable objects, • Use physics-based simulators to develop and validate manipulation policies with high-fidelity transfer to hardware, • Write clean, maintainable C++ and Python, and debug system performance across simulation, hardware experiments, and fleet data, • Collaborate with mechanical, perception, embedded, and systems teams to ensure end-to-end performance and robustness, • Contribute to long-term architectural decisions Senior Manipulation Engineer • Typically reached with 5+ years of relevant experience, or 3+ years following a PhD, • Owns a defined technical area of the manipulation stack and delivers independently end to end, • Mentors less-experienced engineers, • Track record of shipping manipulation software to real hardware Staff Manipulation Engineer • Typically reached with 8+ years of relevant experience, • Drives technical direction and architecture across the team's area, • Sets engineering standards and multiplies the output of others, • Demonstrated influence beyond their own deliverables, across teams or an entire manipulation stack Lead Manipulation Engineer • Typically reached with 10+ years of relevant experience, including experience guiding engineers, • Staff-level technical scope plus people-leadership responsibilities: direct reports, hiring, performance, and team planning, • Demonstrated ability to grow engineers and run a healthy, productive teamRequirements: Core qualifications (all levels) • A strong background in robotic manipulation, with hands-on experience on multi-DOF arms in real systems. We weigh what you've built and shipped over where your degree is from. An advanced degree in Robotics, Mechanical, Electrical, Aerospace Engineering, CS, or a related field is one path in. Equivalent industry experience is another., • Strong foundations in motion planning, control theory, optimization, and dynamical systems, • Deep understanding of coordinate transformations, forward/inverse kinematics, Jacobians, and robot dynamics, • Experience with motion planning tools (e.g., MoveIt, OMPL, or custom optimization-based planners), • Experience with multi-body dynamics, modeling, and simulation (e.g., MuJoCo, Gazebo, Isaac, Bullet/PyBullet), • Experience with ROS 2 and real-time middleware, • Proficiency in modern C++ (C++17/20) and Python, • Experience with Unix/Linux environments and software engineering best practices (version control, CI/CD), • Master’s or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a related field., • 3+ years of hands-on experience in robotic manipulation, specifically with multi-DOF (Degree of Freedom) arms., • Strong foundations in motion planning, control theory and optimization, along with experience in dynamical systems., • Deep understanding of coordinate transformations, forward/inverse kinematics, Jacobians, and robot dynamics., • Experience with motion planning software tools (e.g., MoveIt, OMPL, or custom optimization-based planners)., • Experience with multi-body dynamics, modeling, and simulation (e.g., MuJoCo, Gazebo, Isaac, Bullet/PyBullet)., • Experience with ROS 2 and real-time middleware., • Proficiency in modern C++ (C++17/20) and Python for development and tooling., • Experience with Unix/Linux environments and software engineering best practices (version control, CI/CD). Preferred qualifications • Experience with legged or humanoid robots, • Experience applying Reinforcement Learning, Vision Language Models, or Vision-Language-Action models to robotic decision-making and task planning, • Familiarity with 3D perception, point cloud processing, and vision-based feedback in manipulation loops, • Background in whole-body control frameworks (operational space control, MPC, and similar), • Experience with force-feedback control or hand-eye calibration, • Publications or significant open-source contributions in robotics or machine learning, • Demonstrated ability to lead technical efforts and mentor engineers What we offer • Work with state-of-the-art robots in challenging real-world environments, • Hands-on hardware experience alongside strong software and simulation infrastructure, • A collaborative, technically rigorous culture with emphasis on learning and ownership, • Access to real robots, real data, and real impact, • The anticipated starting base salary for this position is $140,000 to $185,000 per year, placed by level as described above Location Philadelphia, PA (no remote candidates considered at this time). Opportunities to work from home with prior approval. Travel No travel required. Compensation Competitive base, full benefits and highly motivating equity incentive package. Flexible time-off policy. Focus on output and ability to work with a stellar team of interdisciplinary functions. Background Check Clear standard background checks, pre-hire, post hire and anytime during employment as required. Residency Requirements Permanent Residency Required. Physical Requirements • Prolonged periods of standing, sitting at a desk and working on a computer., • Must be able to lift 10 pounds. Assistive equipment available

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job Description Job Title: Systems Administrator & Network Engineer (Hybrid Role) Location: Hybrid (On-site + 1 Day Remote) Experience Level: Mid to Senior (4–8+ years) Salary: $57,878.30 - $72,000.00 Position Overview We are seeking a highly skilled and versatile Systems Administrator & Network Engineer to manage, maintain, and enhance our IT infrastructure. This hybrid role combines deep systems administration expertise with advanced network engineering capabilities. The ideal candidate brings hands-on experience delivering infrastructure projects, ensuring high availability, security, and performance across both systems and network environments. While supporting a robust data driven high availability Clinical Environment. Key Responsibilities Systems Administration Install, configure, and maintain servers, operating systems (Windows Server, VMware Virtual Servers, Wyse Clients, Laptops and Desktops), and enterprise applications. Manage user accounts, permissions, and group policies using Active Directory and related identity systems. Perform routine system maintenance, upgrades, and patch management. Monitor system performance, availability, and reliability; proactively address issues. Develop and manage Veeam backups and disaster recovery strategies to ensure data integrity and business continuity. Automate administrative and operational tasks using scripting tools such as PowerShell, Bash, or Python. Network Engineering Design, implement, and manage scalable and secure network infrastructures (LAN, WAN, WLAN). Configure and maintain routers, switches, firewalls, VPNs, VLANs, and load balancers. Monitor network performance and troubleshoot issues such as outages, bottlenecks, and latency. Implement network security measures, including firewalls, intrusion prevention systems, and access controls. Support cloud and hybrid networking environments (Azure, SD-WAN). Maintain and update network documentation including diagrams, configurations, and procedures utilizing tools such as Scribe software and Microsoft Visio. Cross-Functional & Project Work Lead or contribute to infrastructure projects (e.g., Server migrations, EMR and equipment upgrades, cloud adoption, network redesign). Collaborate with IT teams, vendors, and stakeholders to implement new technologies and optimize systems. Ensure compliance with organizational policies and industry security standards. Provide Tier 2/3 support IT staff when needed. Required Skills & Qualifications Technical Expertise Strong knowledge of operating systems: Windows Server, Windows 11 and ThinOS. Deep understanding of networking protocols: TCP/IP, BGP, OSPF, DNS, DHCP. Experience with enterprise hardware: routers, switches, firewalls (Fortigate, Fortinet, or equivalent). Familiarity with virtualization and cloud platforms (VMware, Azure). Proficiency in scripting/automation (PowerShell, Bash, Python). Experience with monitoring and logging tools for systems and networks. Professional Experience 4–8+ years of hands-on experience in systems administration and/or network engineering roles. Proven track record of delivering infrastructure or network-related projects (e.g., deployments, migrations, upgrades). Experience supporting hybrid or multi-site environments. Education & Certifications Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). Relevant certifications preferred: CompTIA Server+, RHCSA, or Microsoft Certified: Windows Server Hybrid Administrator CCNA / CCNP or equivalent networking certifications Cloud certifications (AWS, Azure) are a plus Soft Skills Strong analytical and troubleshooting abilities. Excellent communication and documentation skills. Ability to manage multiple priorities and work independently or in a team.

Job DescriptionJob Title: Cyber Software Engineer – TS/SCI Required Location: Cherry Hill, NJ (Relocation Assistance Available) Clearance Requirement: Active Top Secret/SCI Overview: Cohere Technology is seeking a Cyber Software Engineer to support advanced cyber capability development in Cherry Hill, NJ. The ideal candidate has hands-on experience building secure and mission-oriented tools across Windows and Linux environments, thrives in agile teams, and is passionate about solving complex cyber challenges in support of national defense. Key Responsibilities: • Design, develop, test, and maintain secure software capabilities for cyber operations, • Perform low-level systems programming on both Unix/Linux and Windows platforms, • Collaborate with cross-functional teams to deliver integrated cyber solutions, • Conduct reverse engineering, protocol analysis, and tool optimization, • Develop and execute unit and integration tests; contribute to containerized testing environments, • Participate in Agile development cycles including sprint planning, reviews, and retrospectives, • Leverage scripting and compiled languages (Python, C, C++, Java) for tool development, • Support DoD and mission-aligned stakeholders with technical implementation and guidanceRequired Qualifications:, • Bachelor’s degree in Software Engineering, Cybersecurity, Computer Science, or related field, • Minimum of 1 years of experience in software development, • Proficient in Python, C, C++, Java, • Familiarity with secure coding practices, reverse engineering, and x86 assembly, • Experience in Agile/Scrum environments, • Active Top Secret/SCI clearance requiredPreferred Qualifications:, • Familiarity with tools such as Ghidra, Wireshark, XKEYSCORE, or similar, • Experience with custom protocol development, vulnerability analysis, or cyber toolkits, • Knowledge of containerization (e.g., Docker), CI/CD pipelines, and automated testing, • Background in training or mentoring junior developers, • Prior military or defense contracting experience is a plusWhy Join Us:, • Work on impactful cyber missions that directly support national security, • Collaborate with technical experts in a fast-paced, agile environment, • Flexible relocation support and career advancement opportunities, • Competitive compensation and benefits package Powered by JazzHR Ma87sWVHtF

Job Description Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: -Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. -Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. -Write code to ensure the performance and reliability of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. -Work with program management and engineers to implement and document complex and evolving requirements. -Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. -Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: -Must be a US Citizen. -Must be able to obtain a Public Trust Clearance. -7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. -Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD pipelines and ability to apply them. -Experience with relational database, such as, PostgreSQL. -Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: -Experience creating and consuming APIs. -Experience with DHS and knowledge of DHS standards a plus. -Candidates will be given special consideration for extensive experience with Python. -Ability to develop visualizations utilizing Tableau or PowerBI. -Experience in developing Shell scripts on Linux. -Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. -Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance -401k -Flexible Spending Account (Health, Dependent Care, and Commuter) -Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescriptionAbout The Role: Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a Tactical System Engineer to be part of our Warfare Systems team and based out of our Mount Laurel, NJ office. The Tactical System Engineer will be part of a multi-discipline team focused on the DOW’s initiatives in support of tactical capability development for Navy surface and unmanned (UxVs) platforms and will be directly responsible for the architecting and refactoring of mission critical legacy weapons system software into a modern software technology stack where the target end state will ensure the highest impact to the US Navy by enabling a microservices based tactical platform within both a cloud-native and tactical-edge deployment model. Warfare Systems’ project domains include real-time automated test and analysis, virtual computing environments, Artificial Intelligence (AI) & Machine Learning (ML) based data analytics, cybersecurity, as well as backfit and forward-fit tactical solutions. The Engineer will be fiercely accountable for the delivery of well-architected and production-ready solutions that exceed the Fleet’s requirements. Clearance & Location Requirements: • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance., • This is an on-site position. Requiring at least 4 days in office, based out of our Mount Laurel, NJ office. Key ResponsibilitiesWhat You Will Do: • Design, implement, and test complex software in C, C++, Python, JavaScript, and Java within various development environments., • Analyze legacy monolithic software programs, recompiling them, and incrementally apply refactoring to modernize the software using the “brownfield” and “greenfield” methodologies., • Technical assessment and deconstruction of Navy tactical system code for Surface Navy Combat systems., • Explore and prototype next-generation solutions using artificial intelligence/machine learning, distributed processing, and modeling., • Interact with customers to elicit requirements and document agreements., • Present to organization leadership on project cost, schedule, and technical progress., • Software architecture development including hardware and software interfaces between software components., • Assist in developing user, functional, and technical requirements for tactical systems., • Participate and provide feedback for design & code/peer reviews., • Integrate individual software components into complex software environments., • Support test and integration activities at IDT labs and government Land Based Test Sites (LBTS). Skills, Knowledge & ExpertiseWho You Are (Required): • Bachelor’s degree in Computer Science, System Engineering, or a related field, or equivalent full-time professional experience., • 5+ years of full-time professional experience, • Ability to travel up to 10% of the time, as needed, • Experience with combat system design and software, ideally AEGIS, or Ship Self Defense System (SSDS), • Familiarity and experience with developing tactical systems software on DOD programs., • Experience with C, C++, Python, and/or Java programming languages, • Adept with developing in Linux OS environments, including shell scripting., • Ability to decompose and document requirements and specifications., • Understanding of distributed systems, algorithms, data structures and software design patterns, especially the Strangler Pattern, • Experience with Agile software development processes, • Proficiency working within a Git CM environment, • Comfortable with DevSecOps best practices, • Ability to convert vague customer requirements into a refined vision., • Ability to identify and describe algorithmic complexity., • Ability to work on-site with potential hybrid flexibility. What Makes You Stand Out: • Extensive experience with combat system design and software, ideally AEGIS, or Ship Self Defense System (SSDS), • Experience utilizing Make build system, Maven, and Ant scripting, • Experience with X-Windows, • Familiar with Model Based System Engineering (MBSE) methodologies, • Experience with Jenkins, Jira, and the Atlassian tool suite, • Familiarity with foundational networking concepts such as routing, switching, identity services, intrusion detection, and firewall, • Familiarity deploying virtual machines in VMWare vSphere environments including networking configuration, • Familiarity designing complex software development environments including submodules, remote dependencies, and mixed-code deployments, • Familiarity deploying virtual machines and/or containers into Azure cloud environments including networking configuration, • Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive, • Problem-solving skills with the ability to navigate ambiguous situations, • Excellence in oral, written, and technical communication with peers and non-technical cohorts, • Initiative, creativity, reliability, teamwork, • Strong organization and planning skills, • Attention to detail while ability to see and understand the big picture If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network. Pay Range*: $114,000 - $184,000 or $135,000 - $231,000 *Pursuant to New Jersey Senate Bill 2310 IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. Job BenefitsWhy Work at Innovative Defense Technologies (IDT):IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including: • Generous benefits package, • Competitive PTO, • Paid holidays, • 401(k) with immediate vesting and matching, • 9/80 optional schedule (2nd and 4th Friday off every month), • Tuition Assistance Reimbursement Program, • Professional Development Resources, • Pre-Tax Commuter Benefits, • Organization-Wide Monthly Tech Connect Events, • Annual Employee Recognition Awards, • Regular Social Events and Catered Lunches EEO Statement:IDT is an Equal Opportunity employer.

Job DescriptionBenefits: • 401(k), • Paid time off, • Parental leave Senior Embedded Software Engineer Camden, New Jersey Full Time (Relocation Assistance Available) Summary: Responsibilities include the translation of requirements into working and maintainable solutions for our C5 and Cyber Solution Centers. The selected candidate will apply technical proficiency across various stages of our SDLC, gather requirements and work closely with stakeholders to prioritize and scope tasks. The selected candidate will be working as a key team member on a Scrum team and will be instrumental in setting our direction and strategy for product and infrastructure development. Essential Functions: • Support the engineering team members as a subject matter expert in embedded software application development, through guidance and direction to one or more software engineers, • Investigate root cause of complex issues, and implement solutions, working independently or with a multi-discipline team, • Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target hardware, • Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system, • Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, hardware-software integration, and formal test, • Develop software test plans and procedures, and other relevant technical documentation, • Utilize modeling tools and equipment to establish operating data, conduct experimental tests, prototype, and evaluate results, • Participate in peer reviews, identify, track and repair defects, • Utilize a variety of software languages (primarily C/C++ and Python), implementing software for embedded real time operating systems Requirements: • U.S. citizenship with an Active Department of Defense (DoD) Secret clearance, • Bachelor’s or master’s degree in computer engineering, Electrical Engineering, Computer Science, or related field, • 6+ years of experience developing applications on simulated and target hardware, • Usage of a Real-Time Operating System (RTOS), such as Green Hills Integrity, VxWorks, or similar, • Excellent oral and written communication skills Preferred Skills: • Object-oriented design and implementation experience, with exposure to software modeling and UML tools such as IBM Rhapsody or MagicDraw/Cameo, • Experience developing device drivers and Board Support Packages for real time embedded systems, • Experience with Modern C++ techniques, • Experience with Information Assurance and/or cryptography, • Experience with NSA Type 1 certification or other SW certification such as DO-178 Skills and Certifications: • Embedded Software Background

Job DescriptionBuild software that changes how the physical world gets built. At EARTHBRAIN, we're building technology that transforms construction jobsites into intelligent, connected environments. Born from Komatsu—one of the world's largest construction equipment manufacturers—and backed by Komatsu, NTT, Sony, and Nomura Research Institute, EARTHBRAIN combines the speed and ownership of a technology company with the resources and global reach of established industry leaders. Our Smart Construction platform is already deployed across more than 15,000 jobsites in Japan and used in more than 27 countries. Now we're expanding our North American engineering team—and we're looking for experienced software engineers who want to work on technical problems that go far beyond the typical web application. You'll help build 3D products that allow contractors to combine CAD files, aerial and satellite imagery, drone-captured point clouds, terrain data, and other project information to visualize, analyze, and plan complex construction projects. Think centimeter-level terrain precision, massive geospatial datasets, earthwork calculations, digital twins, and interactive 3D environments. And that's only where we're starting. Our longer-term roadmap includes remote and autonomous construction, with cloud systems coordinating fleets of heavy machinery across jobsites. Why this role is different This is a hands-on engineering role for someone who wants meaningful technical ownership. You'll write and ship production code every day, work across the stack, solve challenging 3D and geospatial problems, and see your work used in real-world construction environments. You'll also join an engineering organization actively redefining how software gets built with AI. We believe great engineers don't compete with AI—they learn how to direct it. Every engineer has access to modern AI development tools, including Claude Code, ChatGPT, GitHub Copilot, and Gemini. AI agents contribute meaningfully to first-draft code and testing, while engineers remain responsible for architecture, technical judgment, review, quality, and what ultimately ships. Our interview process reflects how we actually work: our technical interview is AI-assisted, and you're encouraged to use the tools you use in your real development workflow. What you'll own You'll: • Design, build, test, document, and continuously ship production software., • Build customer-facing 3D experiences that help contractors understand and manage complex projects., • Work across the stack, from CesiumJS rendering in the browser to cloud-based geospatial data pipelines., • Solve problems involving terrain, imagery, point clouds, CAD data, visualization, and large-scale geospatial datasets., • Use AI coding agents as part of your daily engineering workflow—and critically review, refine, and improve their output., • Own features from initial technical design through production., • Improve engineering quality through thoughtful code reviews, pair programming, testing, and technical collaboration., • Collaborate directly with engineering teams in Japan as part of one global product organization., • Help shape the technical practices and culture of our growing North American engineering team.Technology you'll work with You don't need to be an expert in every technology below. We're more interested in strong engineers who can learn quickly and make sound technical decisions. Application & Data JavaScript · TypeScript · Lit · React · CesiumJS · Node.js · GraphQL · Python · C++ · GDAL Testing Jasmine · Karma · Vitest · Playwright · GoogleTest Cloud & Infrastructure AWS · Google Cloud · Terraform · Docker Build & CI/CD GitHub Actions · Vite AI Development Claude Code · ChatGPT · GitHub Copilot · Gemini What we're looking for You may be a strong fit if you have: • 5+ years of professional software development experience building, shipping, and supporting production systems., • Strong software engineering fundamentals and experience with at least part of our technology stack., • The ability—and curiosity—to learn unfamiliar technologies quickly., • Experience incorporating AI development tools into your day-to-day engineering workflow., • The technical judgment to recognize where AI-generated solutions work well, where they don't, and when human intervention matters., • Strong written and verbal communication skills., • Experience collaborating effectively across teams, disciplines, and time zones., • A computer science degree, related technical degree, or equivalent practical experience., • Authorization to work in the United States without current or future visa sponsorship., • Ability to work from our Philadelphia office at least two days per week.Even better if you've worked with, • WebGL, GIS, mapping, or 3D graphics technologies such as CesiumJS, Three.js, or deck.gl., • Large datasets, particularly point clouds, imagery, terrain, or other geospatial information., • AWS and Docker-based development environments., • Globally distributed engineering organizations., • Construction, mining, agriculture, robotics, heavy equipment, or other industrial technology.Don't check every box? If you're a strong software engineer who is excited about 3D technology, geospatial systems, AI-assisted development, or building software that interacts with the physical world, we still want to hear from you. What you'll get Beyond the opportunity to work on technically challenging products with global reach, EARTHBRAIN offers: • Competitive compensation., • Comprehensive medical, dental, and vision coverage., • Short- and long-term disability coverage., • Company-paid life insurance., • 401(k) retirement plan., • Generous paid time off and sick leave., • Free lunch, snacks, and drinks in the office., • Professional development through workshops, jobsite experiences, global hackathons, and Udemy courses., • Opportunities to travel to Japan and collaborate directly with our Tokyo engineering organization, including participation in our Global Tech Meeting., • A flexible, inclusive, multicultural working environment.Build something you can see in the real world. A lot of software moves information around a screen. Ours helps move earth, coordinate equipment, model entire jobsites, and ultimately change how construction gets done. If you want your next engineering challenge to combine 3D visualization, geospatial technology, cloud systems, AI-assisted development, and real-world impact, we'd like to meet you. Equal Employment Opportunity EARTHBRAIN is an equal opportunity employer committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression. Powered by JazzHR pbq7SyiBZe

Job Description:\n\nPrincipal Data Engineer\nLocation: Philadelphia, PA\nOnsite Flexibility: HybridJob Details\n\n Position Type: Right to Hire\n Contract Duration: 6 month conversion\n Pay Rate: $85.00 $90.00 / Hour (USD)\n Schedule: 2 days on-site Tuesday / Wednesday\n Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.\nJob Summary\nThis role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across a medical client. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption.\nWe are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness.\nThis is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications.\nThis is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership.\nStakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured.\nA background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes.Key Responsibilities\nHands-On Data Engineering and Platform Development\n\n Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture.\n Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data.\n Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams.\n Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems.\n Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning.\n Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline.\n\nReal-Time Streaming, IoT Telemetry, and Operational Data Services\n\n Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds.\n Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns.\n Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads.\n Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases.\n Define reliability, latency, quality, observability, and supportability expectations for production streaming systems.\n\nDatabricks, Lakehouse, and Data Platform Architecture\n\n Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design.\n Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design.\n Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership.\n Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture.\n Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact.\n\nStakeholder Shaping and Cross-Functional Partnership\n\n Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like.\n Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans.\n Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value?\n Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests.\n Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders.\n\nTeam Management and Principal-Level Technical Leadership\n\n Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability.\n Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making.\n Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives.\n Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security.\n Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed.\n Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions.\n\nML/AI, Analytics, and GenAI Enablement\n\n Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops.\n Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation.\n Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases.\n Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on.\n\nGovernance, Data Quality, Security, and Production Operations\n\n Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data.\n Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring.\n Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs.\n Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation.\n Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness.\nRequired Skills\n\n Strong experience with Azure cloud services for data engineering, streaming, integration, storage, security, and production operations.\n Experience designing and operating real-time streaming, event-driven, or near-real-time data pipelines in production or business-critical environments.\n Experience applying DevOps, CI/CD, testing, version control, code review, documentation, and automation practices to data engineering workloads.\n Experience building data services, APIs, microservices, or reusable consumption patterns for downstream applications, analytics, ML/AI, or operational workflows.\n Strong understanding of data quality, observability, monitoring, lineage, reliability, cost optimization, privacy, and production support for data systems.\n Experience translating ambiguous business needs into technical designs, architecture recommendations, delivery plans, and measurable outcomes.\n Ability to explain data architecture, pipeline behavior, tradeoffs, assumptions, risks, and limitations to both technical and non-technical stakeholders.\n Strong ownership mindset and ability to drive work forward independently in a fast-moving, evolving environment.\nPreferred Skills\n\n Experience working as a principal, staff, lead, manager, or architect-level data engineering leader in a production environment.\n Experience managing direct reports, setting team priorities, developing engineers, and improving team execution and accountability.\n Experience working in commercial software, SaaS, digital products, healthtech, fintech, IoT, consumer technology, or other product-driven environments.\n Experience in startup, scale-up, innovation, new product development, or rapid-build environments where the candidate had to operate with ambiguity and drive work forward independently.\n Experience with Azure Event Hubs, Azure Stream Analytics, Azure Service Bus, Azure Data Factory, Azure Functions, ADLS, Azure Cosmos DB, Event Grid, or similar Azure services.\n Experience with medical device telemetry, IoT data, remote patient monitoring, healthcare operations, regulated data, HIPAA-sensitive environments, or safety-critical workflows.\n Experience building data platforms or data products that support APIs, microservices, operational applications, ML/AI systems, GenAI workflows, RAG, analytics, and executive reporting.\n Experience with data contracts, semantic layers, feature stores, model-ready datasets, data lineage, schema evolution, CDC, and operational feedback loops.\n Experience with performance tuning, cost optimization, FinOps practices, data platform reliability, and production incident management.\n Experience partnering with product managers, software engineers, ML engineers, analysts, business leaders, and operations teams to turn data into usable business capabilities.\n Experience building MVPs, validating assumptions, iterating based on feedback, and maturing prototypes into durable production systems.\nRequired Experience\n\n 10 years of professional experience in data engineering, software engineering, data platform engineering, distributed systems, analytics engineering, or related technical fields.\n 7 years of hands-on experience designing, building, optimizing, and operating production data pipelines, data platforms, or data services.\n 5 years of hands-on experience with modern cloud data platforms, including Databricks, Spark, Delta Lake, SQL, Python/PySpark, and production pipeline orchestration.\n 3 years of experience leading, managing, mentoring, or providing technical direction to data engineers or related technical teams.\nNice-to-Have Experience\n\n 12 years of relevant professional experience in data engineering, software engineering, data platforms, distributed systems, analytics engineering, commercial software, or production data products.\nBenefits\n\n Medical, Vision, and Dental Insurance Plans\n 401k Retirement Fund\nAbout GTT\nGTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.\nJob Number: 26-09580 Industry: Data & Analytics\n#LI-GTT #LI-Hybrid #gttjobs\n\nCompany Description:\n\nGlobal Technical Talent is a subsidiary of Chenega Corporation (www.Chenega.com) with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\n\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\n \nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: https://bit.ly/gttcareers \n \nAwards\n\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\nSIA’s Best Staffing Firm to Work for: 2019 -2023\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\nRandstad PrefeGlobal Technical Talent is a subsidiary of Chenega Corporation (www.Chenega.com) with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\r\n\r\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\r\n \r\nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: https://bit.ly/gttcareers \r\n \r\nAwards\r\n\r\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\r\nSIA’s Best Staffing Firm to Work for: 2019 -2023\r\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\r\nRandstad Preferred Supplier: 2020 - 2023\r\nTechServe Alliance Excellence Award. 2019\r\nNH Business Magazines Fast 5 fastest growing companies\r\nErnst & Young Entrepreneur of the Year Finalist: 2015

Job Description Burro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors. To accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective – this enables us to deliver the most creative and innovative solutions to problems our customers face. Headquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Catalyst, Translink, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. Burros can be described as Disney's Wall-E for agriculture and work outdoors, in a 1.0 format. They function, today, as computer vision based autonomous ground vehicles for carrying, towing, and scouting, and are designed to lay the base for the fully autonomous future of work outdoors. We have 700+ robots in our growing fleet deployed in paid commercial use within vineyards, nurseries, berries, and beyond, and demand for our product is accelerating, so we are growing our team. As the leader of Burro's Robot Support function, the Director of Robot Operations owns the customer-facing reliability and support experience of the entire fleet, and builds the strategy, processes, and tools required to scale that support far beyond today's headcount. This is a functional leadership role on an emerging team at Burro, critical to how we support customers at scale, and responsible for the team that ensures customers realize the return on investment they were promised. The Director of Robot Operations will directly manage the Robot Support team, currently consisting of three full time support engineers. Responsibilities: Customer Impact & Escalation Drive customer utilization and ROI by building a team that responds quickly and, increasingly, proactively, anticipating issues before customers report them Serve as the internal voice of the customer and the escalation point for high severity or high visibility issues, ensuring engineering and product priorities reflect real field impact Fleet Health & Diagnostics Monitor fleet wide utilization, uptime, and diagnostic health, identifying trends across machines, regions, and customer segments Analyze diagnostic data to define control limits and drive pre-emptive corrective action, translating customer sentiment and field quality data into actions Cluster and prioritize failure modes for engineering, holding the team accountable for timely resolution, and use fleet wide data to influence the engineering roadmap Scaling Strategy, Process & Tools Build the strategy, processes, systems, and tools that let each Robot Support engineer support 500+ robots, a major scale up from current ratios Develop and execute a plan to outsource portions of support to Dealer teams and third party providers, including training, documentation, and quality oversight Coordinate the software deployment process across the fleet Hire, coach, and grow the Robot Support team as it scales alongside the fleet Requirements: B.S. in Computer Science, Electrical Engineering, Robotics, or a closely related field 10+ years of relevant experience in robotics, technical support, or fleet operations/management, including 5+ years leading a team Familiarity with autonomous mobility technology, such as computer vision, LiDAR, and other sensors, RTK GPS, electrical systems (including charging and batteries), mechanical systems Demonstrated experience building scalable support processes, tools, or outsourced/partner support models, especially processes built around Zendesk and utilizing various AI-enabled tools Exceptional responsiveness and communication skills; ability to excel at time-sensitive tasks and lead others through them Ability to think like the customer, prioritize issues, and influence others across engineering, product, and operations to bring issues to closure Experience debugging hardware and software, and coaching others to do the same Strategic vision to scale the function efficiently as Burro grows our fleet to the tens of thousands Experience utilizing Zendesk, Airtable, Formant, AWS, and/or other similar tools Nice-To-Haves: Understanding of systems built in a ROS/ROS2 framework Comfortable debugging code written in C++ & Python Familiarity with electrical and mechanical repairs processes and tools (splicing, soldering, motor/gearbox diagnostics and repair, etc.) Conversational Spanish Perks Competitive salary and benefits package (medical/dental/vision) 401K Plan Early-stage equity Unlimited PTO Paid parental leave RECRUITERS: We are not accepting agency resumes for this position. Please do not forward or submit resumes through our website or to any of our employees directly. Burro is not responsible for any fees related to unsolicited resumes from recruitment agencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Software Engineer Job Description This role focuses on designing, developing, troubleshooting, and analyzing software programs for computer-based systems within a complex, mission-driven environment. You will perform system modeling, simulation, and analysis, and contribute to the design and development of compilers, assemblers, utility programs, and operating systems. As needed, you will provide input for documentation related to new and existing software, ensuring clarity, accuracy, and maintainability. Responsibilities • Design, develop, and maintain software programs for computer-based systems in a Linux and UNIX environment., • Perform system modeling, simulation, and analysis to support software and system performance objectives., • Design and develop compilers, assemblers, utility programs, and operating systems components as required., • Implement software designs, including subsystem and system integration, and conduct thorough testing activities., • Participate in formal software reviews, including software requirements reviews, preliminary and critical design reviews, integration readiness reviews, and software acceptance reviews., • Apply object-oriented design and development principles, including design patterns, to support modular, maintainable, and extensible software solutions., • Develop and maintain scripts in Solaris and other UNIX variants to support automation and system operations., • Use Integrated Development Environments (IDEs), such as Eclipse, to develop, debug, and maintain software., • Contribute to the creation and refinement of documentation for new and existing software programs, ensuring technical accuracy and completeness., • Work within established life cycle processes and procedures aligned with CMMI Level 5 practices., • Collaborate with cross-functional teams to integrate software components and support system-level functionality., • Utilize testing frameworks, including xUnit-based tools such as JUnit and CppUnitLite, to develop and execute automated tests., • Support ongoing maintenance, troubleshooting, and analysis of software issues in deployed and test environments. Essential Skills • 2+ years of experience developing software with C++., • Proficiency in C++ or Java programming in a Linux operating system environment., • Software design, design implementation, subsystem and system integration, and testing., • Experience participating in software requirements review, preliminary and critical design reviews, integration readiness review, and software acceptance reviews., • Experience with object-oriented design and development, including the use of design patterns to support software insulation techniques and plugin architectures., • Hands-on experience working in Windows, Solaris, and Linux environments., • Experience developing scripts for Solaris and other UNIX variants., • Proficiency using Integrated Development Environments (IDEs) such as Eclipse., • Familiarity with UML syntax and its practical application in software design., • Familiarity with xUnit testing frameworks, especially JUnit and CppUnitLite., • Experience working within CMMI Level 5 life cycle processes and procedures. Additional Skills & Qualifications • Experience with Python and Bash scripting is a plus., • Experience with embedded software development is beneficial., • Object-oriented programming and software engineering best practices., • Comfort working with multiple operating systems, including UNIX variants., • Ability to collaborate effectively in a structured, process-driven engineering environment. Work Environment Work is performed on a long-term, stable defense program supporting advanced missile defense systems, with a strong history of operational use across multiple allied navies. The role is based in a professional engineering facility and involves close collaboration with a prime contractor on a major defense program. The environment emphasizes rigorous software development processes, system reliability, and adherence to established lifecycle and quality standards such as CMMI Level 5. The schedule offers flexibility, including options such as a 9/80 schedule with every other Friday off or four 10-hour days Monday through Thursday, supporting work-life balance. You will work primarily with Linux, Solaris, and other UNIX variants, using tools such as Eclipse, xUnit frameworks, and standard office productivity software in a structured, team-oriented setting. Job Type & Location This is a Contract position based out of Moorestown, NJ. Pay and Benefits The pay range for this position is $43.00 - $70.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Moorestown,NJ. Application Deadline This position is anticipated to close on Oct 20, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications withoutregard to race, sex, age, color, religion, national origin, veteran status, disability,sexual orientation, gender identity, genetic information or any characteristic protectedby law. If you would like to request a reasonable accommodation, such as the modification oradjustment of the job application process or interviewing process due to a disability,please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance:Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in thecity and county of San Francisco, we will consider for employment qualified applicantswith arrest and conviction records. Massachusetts Lie Detector:It is unlawful in Massachusetts to require or administer a lie detector test as acondition of employment or continued employment. An employer who violates this lawshall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI):We may use Artificial Intelligence (AI) to support parts of our hiring process,including sourcing, screening, and evaluating candidates. AI helps assess applicationsand qualifications, but final decisions are made by our hiring team. By applying, youacknowledge and agree that your application may be reviewed using AI tools.

Job Description Cloud Systems Architect Employment Type: Full-Time, Mid-level Department: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications: - Experience with and a complete understanding of the technology required for cloud computing. - Experience with the skills to migrate applications to the cloud. - Be able to build relationships between the customers and the team members. - The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing. - The ability and the knowledge to implement security information and event management to keep the customer's assets safe. - Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure. - Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails. - Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job DescriptionDescriptionAbout The Role: Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a Stimulator/Message Software Engineer to be part of our Warfare Systems team and based out of our Mount Laurel, NJ location. The Stimulator/Message Software Engineer will be part of a multi-discipline team focused on the DOW’s initiatives in support of tactical capability development for Navy surface and unmanned (UxVs) platforms and will be directly responsible for the architecting and refactoring of mission critical legacy weapons system software into a modern software technology stack where the target end state will ensure the highest impact to the US Navy by enabling a microservices based tactical platform within both a cloud-native and tactical-edge deployment model. Warfare Systems’ project domains include real-time automated test and analysis, virtual computing environments, Artificial Intelligence (AI) & Machine Learning (ML) based data analytics, cybersecurity, as well as backfit and forward-fit tactical solutions. The Engineer will be fiercely accountable for the delivery of well-architected and production-ready solutions that exceed the Fleet’s requirements. Clearance & Location Requirements: • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance., • This is an on-site position. Requiring at least 4 days in office, based out of our Mount Laurel, NJ location. Key ResponsibilitiesWhat You Will Do: • Design, implement, and test complex software in C++, utilizing Kafka, messaging protocols (DDS, Protobuf), • Design, implement, and test software using multiple languages and technology stacks, • Integrate software components into complex DoD software environments, • Explore and prototype next-generation solutions using artificial intelligence/machine learning, distributed processing, and modeling., • Interact with customers to elicit requirements and document agreements., • Present to organization leadership on project cost, schedule, and technical progress., • Software architecture development including hardware and software interfaces between software components., • Assist in developing user, functional, and technical requirements for tactical systems., • Participate and provide feedback for design & code/peer reviews., • Integrate individual software components into complex software environments., • Support test and integration activities at IDT labs and government Land Based Test Sites (LBTS)., • Integrate software components into a complex software development environment, • Ensure adherence to industry standards pertaining to security, orthodox programming paradigms, and performance requirements, • Understand and interact with complex DoD software systems, • Work with small cross-site teams of software and/or systems engineers, • Collaborate with team members to peer-review architecture design, system requirements, and implemented code Skills, Knowledge & ExpertiseWho You Are (Required): • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent full-time professional experience., • 5+ years of full-time professional experience, • Ability to travel up to 10% of the time, as needed, • Familiarity with combat system design and software, • Familiarity and experience with developing tactical systems software on DOD programs., • Familiarity with C, C++, Python, and/or Java programming languages, • Adept with developing in Linux OS environments, including shell scripting., • Ability to decompose and document requirements and specifications., • Understanding of distributed systems, algorithms, data structures and software design patterns, especially the Strangler Pattern, • Experience with Agile software development processes, • Proficiency working within a Git CM environment, • Comfortable with DevSecOps best practices, • Ability to convert vague customer requirements into a refined vision., • Ability to identify and describe algorithmic complexity., • Ability to work on-site with potential hybrid flexibility., • Familiarity with the software development process (requirements through deployment), • Ability to design, develop, and analyze software systems, • Ability to model/code/test algorithms in C++, Python, Java, • Ability to model/code/test GUI applications, • Proficiency in at least one modern language (e.g., Python, Java, C++, C#) and/or one modern frontend language (e.g., TypeScript, JavaScript), • Understanding of:, • Windows and Linux file systems, • Version control (Git), • APIs (REST/gRPC), • Modular code design, • Ability to review, critique, and harden AI-generated code, • Familiarity with SQL and relational databases (e.g., Postgres), • Familiarity with computer networking and various networking protocols (e.g., TCP/IP, UDP, CORBA, DDS), • Ability to perform many concurrent assignments and determine the need for changing priorities What Makes You Stand Out: • Familiarity with the AEGIS Weapon System Common Source Library (CSL), ideally, or Ship Self Defense System (SSDS) Single Source Library (SSL), • Experience with AEGIS, ideally, or SSDS tactical systems, • Experience utilizing Make build system, Maven, and Ant scripting, • Experience with X-Windows, • Familiar with Model Based System Engineering (MBSE) methodologies, • Experience with Jenkins, Jira, and the Atlassian tool suite, • Familiarity with foundational networking concepts such as routing, switching, identity services, intrusion detection, and firewall, • Familiarity deploying virtual machines in VMWare vSphere environments including networking configuration, • Familiarity designing complex software development environments including submodules, remote dependencies, and mixed-code deployments, • Familiarity deploying virtual machines and/or containers into Azure cloud environments including networking configuration, • Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive, • Problem-solving skills with the ability to navigate ambiguous situations, • Excellence in oral, written, and technical communication with peers and non-technical cohorts, • Initiative, creativity, reliability, teamwork, • Strong organization and planning skills, • Attention to detail while ability to see and understand the big picture, • Experience with cloud computing, virtualization, or containerization technologies, • Familiarity with Cloud infrastructure (e.g., Azure, AWS, GCP), • Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra), • Demonstrated experience using AI coding assistants (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, Codeium) for:, • Code generation, • Refactoring and optimization, • Debugging and root-cause analysis, • Ability to write effective prompts and iterate with AI to improve code quality and performance, • Understanding of AI limitations, hallucinations, and validation techniques, • Experience with testing frameworks including unit testing and interface testing, • Experience building user interfaces with a modern component framework such as React, Angular, or Vue., • Experience using Storybook or other Mock testing tooling. If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network. Pay Range*: $114,000 - $184,000 or $135,000 - $231,000 *Pursuant to New Jersey Senate Bill 2310 IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. Job BenefitsWhy Work at Innovative Defense Technologies (IDT):IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including: • Generous benefits package, • Competitive PTO, • Paid holidays, • 401(k) with immediate vesting and matching, • 9/80 optional schedule (2nd and 4th Friday off every month), • Tuition Assistance Reimbursement Program, • Professional Development Resources, • Pre-Tax Commuter Benefits, • Organization-Wide Monthly Tech Connect Events, • Annual Employee Recognition Awards, • Regular Social Events and Catered Lunches EEO Statement:IDT is an Equal Opportunity employer.

Job DescriptionAI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering., • Develop and orchestrate multi-agent systems using LangGraph and LangChain., • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference., • Develop and maintain REST APIs and SDK integrations., • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions., • Follow modern secure coding, DevOps, and CI/CD practices., • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.Required Skills & Qualifications, • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations., • Hands-on production experience with LLMs, RAG, and prompt engineering., • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain., • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies., • Strong understanding of secure coding and CI/CD practices., • Excellent written and verbal communication skills.Preferred Qualifications, • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of MCP, metadata catalog platforms, and advanced API development., • Experience working in government, regulated, or security-sensitive cloud environments., • Familiarity with relevant compliance and security standards.

Job DescriptionDescriptionAbout The Role: Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a Software DevOps Engineer to be part of our Warfare Systems team and based out of our Mount Laurel, NJ office. The Software DevOps Engineer will be part of a multi-discipline team focused on the DOW’s initiatives in support of tactical capability development for Navy surface and unmanned (UxVs) platforms and will be directly responsible for the architecting and refactoring of mission critical legacy weapons system software into a modern software technology stack where the target end state will ensure the highest impact to the US Navy by enabling a microservices based tactical platform within both a cloud-native and tactical-edge deployment model. In this role, you will improve the developer experience by reducing friction in CI/CD pipelines and platform workflows, help ensure software delivered to classified environments meets strict security and compliance requirements, and contribute to a repeatable, scalable Software Factory that operates consistently across connected and air-gapped environments Warfare Systems’ project domains include real-time automated test and analysis, virtual computing environments, Artificial Intelligence (AI) & Machine Learning (ML) based data analytics, cybersecurity, as well as backfit and forward-fit tactical solutions. The Engineer will be fiercely accountable for the delivery of well-architected and production-ready solutions that exceed the Fleet’s requirements. Clearance & Location Requirements: • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance., • This is an on-site position. Requiring at least 4 days in office, based out of our Mount Laurel, NJ office. Key ResponsibilitiesWhat You Will Do: • Build, maintain, and troubleshoot CI/CD pipelines using tools such as GitLab CI and Jenkins, following established enterprise patterns, • Integrate and operate automated security controls within pipelines, including SAST, SCA, container scanning, SBOM generation, and secrets detection, • Support and maintain core Software Factory tooling (e.g., GitLab, artifact repositories, scanning tools, CI/CD infrastructure), • Develop and update Infrastructure as Code (IaC) using tools such as Ansible and Terraform, leveraging standardized templates, • Deploy, configure, and maintain containerized workloads using Podman and Kubernetes (RKE2 or similar distributions), • Operate and support DevSecOps platforms within air-gapped classified environments, including:, • packaging and deploying dependencies, • troubleshooting environment-specific issues, • supporting repeatable software delivery without external connectivity, • Assist in enforcing compliance requirements (e.g., NIST 800-171, DISA STIGs, RMF) through automation and pipeline controls, • Investigate and resolve technical issues across CI/CD pipelines, infrastructure, and tooling, documenting root causes and solutions, • Gather developer feedback and identify opportunities to improve platform usability, performance, and reliability, • Collaborate with software engineers, security teams, and infrastructure teams to support coordinated delivery efforts, • Explore and prototype next-generation solutions using artificial intelligence/machine learning, distributed processing, and modeling., • Interact with customers to elicit requirements and document agreements., • Present to organization leadership on project cost, schedule, and technical progress., • Software architecture development including hardware and software interfaces between software components., • Assist in developing user, functional, and technical requirements for tactical systems., • Participate and provide feedback for design & code/peer reviews., • Integrate individual software components into complex software environments., • Support test and integration activities at IDT labs and government Land Based Test Sites (LBTS)., • Integrate software components into a complex software development environment, • Ensure adherence to industry standards pertaining to security, orthodox programming paradigms, and performance requirements, • Understand and interact with complex DoD software systems, • Work with small cross-site teams of software and/or systems engineers, • Collaborate with team members to peer-review architecture design, system requirements, and implemented code Skills, Knowledge & ExpertiseWho You Are (Required): • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent full-time professional experience., • 5+ years of full-time professional experience, • Ability to travel up to 10% of the time, as needed, • Experience in software development processes, • Experience with CI/CD concepts and tools (e.g., Jenkins, GitLab CI, CircleCI), • Familiarity with containerization technologies such as Podman and container orchestration with Kubernetes, • Understanding of Infrastructure as Code (IaC) principles and tools (e.g., Terraform, Ansible), • Basic scripting and programming skills (e.g., Python, Bash), • Experience with Agile software development processes, • Proficiency working within a Git CM environment, • Ability to convert vague customer requirements into a refined vision., • Ability to work on-site with potential hybrid flexibility., • Familiarity with the software development process (requirements through deployment), • Ability to design, develop, and analyze software systems, • Understanding of:, • Windows and Linux file systems, • Version control (Git), • APIs (REST/gRPC), • Modular code design, • Ability to review, critique, and harden AI-generated code, • Familiarity with SQL and relational databases (e.g., Postgres), • Familiarity with computer networking and various networking protocols (e.g., TCP/IP, UDP, CORBA, DDS), • Ability to perform many concurrent assignments and determine the need for changing priorities What Makes You Stand Out: • Experience working in a DevSecOps or DevOps role, • Hands-on experience with cloud platforms/hypervisors (e.g., AWS, vCenter), • Familiarity with secure software development practices and automated security testing tools, • Knowledge of monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK Stack), • Experience working in defense, government, or other mission-critical domains., • Familiarity with DoD compliance frameworks such as NIST, DISA STIGs, or RMF, • Familiarity deploying virtual machines in VMWare vSphere environments including networking configuration, • Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive, • Problem-solving skills with the ability to navigate ambiguous situations, • Excellence in oral, written, and technical communication with peers and non-technical cohorts, • Initiative, creativity, reliability, teamwork, • Strong organization and planning skills, • Attention to detail while ability to see and understand the big picture, • Experience with cloud computing, virtualization, or containerization technologies, • Familiarity with Cloud infrastructure (e.g., Azure, AWS, GCP), • Demonstrated experience using AI coding assistants (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, Codeium) for:, • Code generation, • Refactoring and optimization, • Debugging and root-cause analysis, • Ability to write effective prompts and iterate with AI to improve code quality and performance, • Understanding of AI limitations, hallucinations, and validation techniques, • Experience with testing frameworks including unit testing and interface testing If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network. Pay Range*: $114,000 - $184,000 or $135,000 - $231,000 *Pursuant to New Jersey Senate Bill 2310 IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. Job BenefitsWhy Work at Innovative Defense Technologies (IDT):IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including: • Generous benefits package, • Competitive PTO, • Paid holidays, • 401(k) with immediate vesting and matching, • 9/80 optional schedule (2nd and 4th Friday off every month), • Tuition Assistance Reimbursement Program, • Professional Development Resources, • Pre-Tax Commuter Benefits, • Organization-Wide Monthly Tech Connect Events, • Annual Employee Recognition Awards, • Regular Social Events and Catered Lunches EEO Statement:IDT is an Equal Opportunity employer.

Job Description Security Risk Advisors Intl., LLC (SRA) is offering a Cloud Security Engineer position. This role is responsible for designing, implementing, and maintaining security controls across SRA's multi-cloud environment, spanning Microsoft Azure/Entra ID, Google Cloud Platform (GCP), and Amazon Web Services (AWS). The Cloud Security Engineer will work closely with internal IT, security operations, and engineering teams to ensure cloud infrastructure is deployed and maintained in a secure, compliant, and resilient manner. Essential Functions • Design, implement, and maintain cloud security architectures across Azure/Entra ID, GCP, and AWS environments., • Administer and continuously improve cloud identity and access management (IAM) policies, roles, and privilege models across all three platforms., • Monitor cloud environments for misconfigurations, threats, and vulnerabilities using cloud-native and third-party security tooling (e.g., Defender for Cloud, Security Command Center, AWS Security Hub)., • Operationalize cloud vulnerability and patch management processes, ensuring timely remediation of identified risks., • Implement and maintain Cloud Security Posture Management (CSPM) solutions to enforce security baselines and compliance standards., • Develop and enforce cloud security policies, standards, and guardrails (e.g., Azure Policy, GCP Organization Policies, AWS SCPs)., • Collaborate with engineering and DevOps teams to embed security into CI/CD pipelines and infrastructure-as-code (IaC) workflows., • Conduct cloud security assessments and architecture reviews for new and existing environments., • Support incident response activities related to cloud infrastructure, including investigation, containment, and remediation., • Create and maintain technical documentation for cloud security architectures, configurations, and operational procedures., • Research and evaluate emerging cloud security technologies and provide recommendations for adoption., • Develop detection content and security analytics in SRA's internal SOC applicable to cloud environments. Requirements Competencies In-depth understanding of: • Microsoft Azure and Entra ID, including conditional access, PIM, and Defender for Cloud, • Google Cloud Platform (GCP) security services, including Security Command Center, IAM, and VPC Service Controls, • Amazon Web Services (AWS) security services, including IAM, GuardDuty, Security Hub, and AWS Config, • Cloud identity and access management principles and zero trust architecture Working knowledge of: • Cloud Security Posture Management (CSPM) and Cloud Workload Protection Platforms (CWPP), • Infrastructure-as-Code (IaC) tools such as Terraform, Bicep, or CloudFormation, • Networking concepts as applied to cloud environments (VPCs, peering, private endpoints, firewalls), • SIEM and EDR technologies in cloud-integrated environments Experience with: • CI/CD pipeline security and DevSecOps practices, • Organizing or supporting penetration testing, purple team exercises, or cloud-focused security assessments, • Compliance frameworks relevant to cloud environments (e.g., CIS Benchmarks, NIST CSF, SOC 2) Moderate experience with: • Scripting and automation using Python, PowerShell, or Bash, • Automation via tools such as Power Automate, Logic Apps, or cloud-native orchestration services Supervisory Responsibility None Work Environment This job operates on-site in a professional office environment or remotely as needed/required. This role routinely uses standard office equipment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear; use hands to finger, handle, or feel; and reach with hands and arms. The employee frequently is required to stand and walk. This is a largely sedentary role. Candidates with disabilities are encouraged to apply and email careers@sra.io with any questions. Reasonable accommodations may be made to enable disabled individuals to perform the essential functions of this role. Position Type/Expected Hours of Work This is a full-time position and hours of work and days are Monday through Friday 8:30am to 5pm. Occasional evening and weekend work may be required as job duties demand. Travel Less than 5%. Required Education and Experience • Punctuality and timely attendance to external client and internal stakeholder needs., • A bachelor's degree in Information Technology, Computer Science, or a similar field of study, or equivalent experience., • 3+ years of hands-on experience in cloud security engineering or a related role, with demonstrable experience across at least two of the three major cloud platforms (Azure, GCP, AWS)., • Relevant cloud security certifications preferred (e.g., AZ-500, SC-100, Google PCSE, AWS Security Specialty)., • A passion for learning about cloud security, emerging technologies, and threat landscapes., • Excellent verbal and written communication skills., • Strong time management and organizational skills. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. EEO Statement Security Risk Advisors is an Equal Opportunity Employer and prohibits discrimination or harassment of any kind. All employment decisions at SRA are based on business needs, job requirements, and individual qualifications, without regard to race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, disability, marital or family status, veteran status, medical condition, or any similar category protected under federal, state, or local laws. Benefits Work with Experts: Robust internal training program, plus Company-paid external training. SRA recognizes the value of professional development for employees. Therefore, we encourage our employees to pursue continuing education and role-specific training. Every SRA employee is eligible to attend one training per year paid for by SRA. Mental Health Services: SRA has partnered with BetterHelp to provide SRA employees with free mental health support. BetterHelp connects individuals with licensed therapists for chat, video, and phone sessions. Medical / Dental / Other (regular full-time employees only) • Generous medical, dental, and vision benefits at different price points., • Company-paid disability and life insurance., • Company 401(k) plan including annual 3% safe harbor contribution., • Free patient advocacy service that helps find care providers and resolve insurance queries., • Free financial advising., • Generous parental leave, sick leave, and vacation policies., • Possibility to work remotely or with a flexible schedule when needed and approved., • Company-paid cell phone with discounted accessories., • 1-2-3 Give Program: 1. SRA will give $1,000 to a charity of your choice. 2. If you give an additional amount (up to $1,000), then 3. SRA will match that amount up to $1,000., • Other discounted, employee-paid benefits including pet insurance, legal support, and voluntary life insurance. SRA’s mission is to level up every day to protect our clients and their customers. This begins with our team members and their experience. SRA prides itself on maintaining a culture where team members have a shared sense of support and belonging, consistent with our It’s Personal company value. At SRA, we prioritize transparent career pathing, varied DEI programming and community groups, competitive benefits including mental health support, and an emphasis on a sustainable, healthy, and engaging work culture. SRA has twice been named a Best Place to Work by the Philadelphia Business Journal. These Essential Functions, Requirements, and Skills are guidelines. If you are a candidate who does not meet this exact job description but can demonstrate excellent organization, attention to detail, professionalism, flexibility, and self-direction in your professional background, we hope you apply. SRA values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, and veterans to apply. Salary Range: $90k - 130k

Job DescriptionAI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering., • Develop and orchestrate multi-agent systems using LangGraph and LangChain., • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference., • Develop and maintain REST APIs and SDK integrations., • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions., • Follow modern secure coding, DevOps, and CI/CD practices., • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.Required Skills & Qualifications, • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations., • Hands-on production experience with LLMs, RAG, and prompt engineering., • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain., • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies., • Strong understanding of secure coding and CI/CD practices., • Excellent written and verbal communication skills.Preferred Qualifications, • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of MCP, metadata catalog platforms, and advanced API development., • Experience working in government, regulated, or security-sensitive cloud environments., • Familiarity with relevant compliance and security standards.

Job Description About Us Are you passionate about making an impact on the lives of patients around the world? Are you looking for exposure to a wide variety of medical devices? Design Science, a subsidiary of BlueRidge Life Sciences, is a human factors research firm, founded in 1991 with more than 30 employees spread across our offices in Philadelphia, PA, Evanston, IL and Munich, Germany. Our mission is to be the trusted standard of integrity and expertise where human factors meets health care, bringing the latest life-changing innovations to the world. We take pride in improving healthcare experiences through deep-rooted partnerships with the goal of optimizing usability and safety. Design Science engages in partnerships with some of the world’s leading medical device and pharmaceutical companies, harnessing the skills of members of our organization in human factors research, design, and video to collect important insights about how users interact with medical products. Our research results in outcomes leading to easier and faster therapies, and ultimately, a better quality of life for patients. Headquartered in the heart of Philadelphia, the City of Brotherly Love boasts diverse neighborhoods, an awesome food scene, world-class museums, theater, music and sporting venues. This position sits in our Philadelphia location and offers a great work culture and the opportunity to grow your career. What You Will Do: The Associate Engineer works within well-defined guidelines to manage videography for data capture; moderate usability testing sessions; conduct field research; summarize, prepare and analyze data; and evaluate results of human factors studies. Reporting to an appointed supervisor, Associate Engineers work together in multi-disciplinary teams to execute research and usability testing for a variety of projects. The Associate Engineer works within well-defined guidelines to manage videography for data capture; moderate usability testing sessions; conduct field research; summarize, prepare and analyze data; and evaluate results of the data for deliverable creation. Primary Responsibilities: • Study environment & video equipment set-up, • Site visits for observational research, • Moderating testing sessions, • Root cause analysis, • Run force, click sound, and needle action data collection hardware/software, • Process raw data collected by the above systems for data analysis, • Maintain existing and develop new data analysis tools with Python or other program languages, • Data entry, • Data analysis, • Data management, • Video review & analysis, • Video & data backup, • Report writing, • Study supply tracking & inventory Essential Requirements: • BS/BA in human factors engineering, biomedical engineering, industrial engineering, or related field required., • Ability to analyze data using excel and appropriate statistical techniques and to visualize / present data in a form that is easily understood., • Python or other coding languages, • Excellent listening and observation skills., • Excellent quantitative skills., • Strong writing skills., • Advanced to expert proficiency in Microsoft Office applications including Word, PowerPoint, and Excel., • Proficiency in a variety of data collection software/programs (e.g. OpenClinica, Qualtrics, etc.), • Ability to work full time at the Design Science office in Philadelphia and to travel 20-30% of the time, domestically and internationally., • Good organizational skills and ability to balance multiple projects simultaneously., • Evidence of interdisciplinary collaboration across a variety of fields, including engineering, design and psychology., • Willingness to undergo background checks, drug/health screenings as required for research purposes., • Finalists will be required to successfully pass a background check. Additional Desired Skills / Experience: • Ability to deploy a variety of research techniques to collect and process data across multiple areas of company’s portfolio of work (field research, usability testing, ergonomics, etc.), • Experience with, or interest in, medical devices, product development and/or design., • Experience with, or knowledge of, FDA regulatory guidance on usability and medical devices. Here’s what we’re offering: • Full-time, salaried, exempt position, • Compensation commensurate with experience, • Great Benefits: Health, dental, vision, parental leave, disability, life insurance, 401k with match, generous PTO, paid holidays, a great team and more! Resume / cover letter are required. Visit our website / blog at www.dscience.com for more information, or check us out on social media @designscience. Please submit a cover letter and resume for full consideration. Please tell us why you are a great candidate for this role and your interest/experience in human factors. Visit our website / blog at www.dscience.com for more information, or check us out on social media @designscience . EOE Minorities, Females, Individuals with Disabilities and Veterans are strongly encouraged to apply. Design Science celebrates the equal exchange of ideas and opinions from a wide range of backgrounds and experiences shared by our colleagues in Evanston, Philadelphia and Munich.

Job Description About AIRCO AIRCO is a world leader in carbon conversion technology, paving the way to global energy security by transforming CO₂ into a valuable resource. Its proprietary AIRMADE™ Technology is an adaptable platform that allows any industry to efficiently produce high-demand, fully-formulated synthetic fuels from waste CO₂ and hydrogen. The company has commercial partnerships with airlines including JetBlue and Virgin Atlantic, amongst others, and has been awarded multiple government contracts, including with NASA and the United States Department of Defense's Defense Innovation Unit. The company has received industry recognition through awards such as Time Best Inventions, Inc. Best in Business, Fast Company World Changing Ideas, and the XPrize for Carbon Removal. AIRCO's many accolades include winning the prestigious Green Chemistry Challenge Award from the Environmental Protection Agency in October 2023, an award given to organizations that reinvent processes to reduce the generation of hazardous substances and byproducts. AIRCO was also declared a winner for the World Economic Forum UpLink Sustainable Aviation Challenge, which accelerates the development of promising technology pathways that enable widespread uptake of SAF. The Position We are seeking an Engineer I to join our Development team. This role will support process and project design engineering, with an emphasis on process development, engineering documentation, and process flow development. The position includes hands-on work in the lab and pilot plant and will partner closely with scientists, engineers, and operations teams across RD&E, Development, and manufacturing support functions. This role is based onsite in New Britain, Pennsylvania. The ideal candidate will have a degree in chemical engineering and early exposure to process engineering, pilot plant operations, scale-up, or technical development in chemicals, energy, manufacturing, or related industrial environments. Candidates should be excited to work in a hands-on startup environment and contribute across lab, pilot, and engineering activities. What you get to do • Build hands-on familiarity with AIRCO's lab and pilot plant operations through structured onsite training and project work, • Work with Senior Engineers/ Technical Specialists to develop process flow schemes, • Work under the direction of Senior Engineers/ Technical Specialists to develop engineering design templates, • Work with Senior Engineers/ Technical Specialists to develop engineering tools for equipment design, • Review data, schematics, drawings, and process documentation for accuracy and quality., • Support senior engineers on cross-functional development projects and technical problem-solving, • Support evaluation of new process technologies and development of process solutions, • Analyze data and communicate findings and recommendations through written summaries and verbal updates, • Ensuring compliance with relevant engineering design standards/guidelines, as well as, environmental, health and safety regulations. What you bring to AIRCO • Bachelor's degree in Chemical Engineering or a related discipline, • 0 to 2 years of relevant industry, internship, co-op, or research experience, • Exposure to process development, pilot plant operations, scale-up, or process engineering, • Familiarity with engineering, modeling, or data analysis tools such as AutoCAD, Aspen, Python, Matlab, or similar tools is a plus, • Strong attention to detail, problem-solving ability, and willingness to work hands-on in lab and pilot environments, • Strong commitment to personal and process safety, • Collaborative, proactive, and eager to learn in a fast-moving technical environment Bonus points: • Familiarity with common engineering, modeling, and data analysis tools such as AutoCAD, Python, Matlab, Aspen, or similar tools is a plus, • Exposure to catalysis, separations, thermal processes, or related chemical engineering concepts Working at AIRCO - In addition to standard medical and dental benefits, that kick in Day 1, we provide: Comprehensive Health Benefits • Full coverage for employee base premiums on health, dental, and vision insurance., • 70% coverage for spouse and dependent base premiums., • Choose between base plans or enhanced options to fit your needs. Health Savings & Flexibility • Access company-sponsored HSA and FSA accounts to save on healthcare and dependent care expenses. Income Protection & Insurance • Company-paid Short-Term Disability insurance., • Optional Long-Term Disability and Life Insurance plans. Time Off & Leave • Flexible and generous paid time off, including national holidays and sick leave., • Paid family leave to support you during important life moments. Retirement Savings • Tax-deferred 401(k) plan with a 3% company match to help you invest in your future. Commuter Benefits • Pre-tax savings on transit and parking, plus monthly company contributions. Additional Perks • Ancillary benefits through Sequoia, including pet insurance and financial wellness programs., • Employee wellness program to support your well-being.Inclusive of Wellhub & One Medical., • Company-sponsored events and programs that promote an inclusive and values-driven workplace., • In person weekly catered lunch every Wednesday. At AIRCO we value employees for their unique perspectives. We are an inclusive affirmative action Equal Employment Opportunity employer. We consider applicants without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, present or past history of intellectual, learning, mental, or physical disability (including but not limited to blindness) unless AIRCO determines that such disability prevents performance of the work involved, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Don't meet every single requirement? Studies have shown that women, marginalized genders and people of color are less likely to apply to jobs unless they meet every single qualification. At AIRCO we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles This position requires access to technology, software and other information that is subject to governmental access control restrictions, due to export controls, security classification and/or designation as Controlled Unclassified Information. Employment in this position is conditioned on the candidate's ability to obtain and maintain appropriate government authorization to access technology or information, to the extent required, including without limitation a security clearance, export license, or other documentation required to establish authorization to receive access to such items technology or information. We may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to Company facilities and information systems, as we deem appropriate, in order to ensure compliance with applicable government access control restrictions. I consent to transfer my data to Air Company in the U.S. and to its use in accordance with the Air Company Privacy Policy, and I opt in to receiving information from Air Company. Air Company does not sell or share personal information to third parties within the meanings given under applicable laws.

Job DescriptionAI Engineer – Conversational AI – Own a Production Voice Agent End-to-End Philadelphia, PA Take the mic on a live AI voice assistant You’ll own a conversational AI voice assistant that’s actually talking to real customers — answering live inbound calls for disability and absence management. Callers speak naturally. The assistant verifies who they are. Then it pulls from a knowledge base and gives them answers on the spot. This isn’t R&D. This is build, ship, and keep it rock-solid in production. You’ll support the live pilot, drive the shift to a fully agentic design with tighter latency, and harden it for scale and new features through a real engineering and release process. If you’ve shipped LLM-powered apps into production and kept them running, we want to talk to you. What You'll Work On You’ll be the hands-on engineer owning the full stack of this AI voice experience: • Conversational AI for inbound customer calls, • Identity verification and secure Q&A flows, • Hybrid scripted + AI flows evolving to fully agentic conversations, • Latency optimization for real-time voice interactions, • Automated evaluation of LLM quality and safety, • Production monitoring, incident response, and cost control, • Regulated data handling with auditability and guardrails, • Multi-environment CI/CD and change management Under the hood you’ll work with Amazon Connect, Amazon Lex V2, Amazon Bedrock, ElevenLabs, Python, and core AWS services. Your mission: keep the voice assistant fast, accurate, and safe while you evolve it into a truly agentic system. What You'll Be Doing • Supporting the live pilot by triaging and resolving production incidents and support tickets, • Reviewing call transcripts and tuning prompts, intents, and fallback handling based on real conversations, • Leading the redesign from a hybrid scripted/AI flow to a fully agentic conversational experience, • Driving measurable latency reductions across the voice interaction, • Building test sets and automated evaluation suites to measure answer accuracy, hallucination, and response time, • Running evaluation gates before every release to protect quality, • Implementing safety and compliance guardrails, including PII/PHI protection, redaction, and prompt-injection defenses, • Ensuring robust audit logging and alignment with formal change-control processes, • Delivering through Azure DevOps with stories, acceptance criteria, pull requests, and code reviews, • Managing multi-stage pipelines that promote bots and contact flows from Dev to QA to UAT to Prod, • Creating monitoring dashboards, alerts, and incident playbooks for the AI assistant, • Tracking and optimizing AI token usage and Amazon Connect consumption costsWhat We're Looking For, • Hands-on production AI experience delivering at least one LLM-powered application to real users, • Comfort with prompt engineering, tool/function calling, structured output, and RAG, • Proven work with Amazon Connect and Amazon Lex V2, including contact flows, Lambda integrations, intents, slots, and fallbacks, • Experience with Amazon Bedrock or a comparable managed LLM service (knowledge bases, agents, guardrails), • Background building evaluation suites for LLM output and tracking accuracy and latency over time, • Strong Python skills plus working knowledge of AWS Lambda, IAM, DynamoDB, S3, CloudWatch, and KMS, • Experience handling sensitive personal data in a regulated environment (insurance, healthcare, financial services, or similar), • Comfort operating under formal change control, audit trails, and separation of dutiesThe Experience That Will Really Get Our Attention You’ve been the go-to engineer for a production conversational system, not just a hackathon bot. You understand where scripted flows end and agentic architectures shine, and you’ve cut real latency out of voice or chat experiences. Ideally you’ve mixed AI, telephony, and DevOps: building with Connect and Lex, wiring Bedrock or similar LLM services, and shipping through pipelines with hard quality gates in a regulated setting. High-signal experience: ElevenLabs (TTS, Agents, APIs) • real-time voice latency tuning • Bedrock Agents or Flows • Step Functions • EventBridge • SQS/SNS • Terraform/CDK/CloudFormation for Connect/Lex promotion • Azure DevOps (Repos, YAML Pipelines, Boards) • Java/Spring Boot • TypeScript/Node • Amazon Contact Lens • Amazon Q in Connect • CTR streaming • Kinesis • Lex generative features • multi-language bots • OpenSearch Serverless • Aurora pgvector • Datadog • SonarCloud • unit testing with mocked LLM calls • secrets management • insurance/disability/absence domains Why This Opportunity? This is not “help us explore AI.” The system is built, the pilot is going live, and you will own it after launch. You’ll see your work immediately reflected in real customer calls — quality, speed, safety, and scalability are all on you. You’ll work across AI, telephony, and cloud infrastructure in a regulated environment, sharpening skills that are in rare demand and high value. Important Requirements This is a contract role with an initial 6-month engagement and the possibility of extension. Work hours must align with US Eastern business hours, or have significant overlap with US Eastern mornings through 12 PM ET. Interested? If you’re the engineer who wants to own a real production AI voice assistant — not just prototype one — let’s talk. Please send your resume to Kevin McCarthy Keywords AI Engineer, Conversational AI Engineer, Voice AI Engineer, LLM Engineer, Amazon Connect, Amazon Lex, Amazon Lex V2, Amazon Bedrock, Bedrock Agents, Bedrock Flows, ElevenLabs, speech-to-text, text-to-speech, agentic AI, agentic architectures, RAG, retrieval augmented generation, Python, AWS Lambda, IAM, DynamoDB, S3, CloudWatch, KMS, Azure DevOps, Azure Repos, Azure Pipelines, Azure Boards, Terraform, CloudFormation, CDK, Step Functions, EventBridge, SQS, SNS, Amazon Contact Lens, Amazon Q in Connect, Kinesis, OpenSearch Serverless, Aurora pgvector, Datadog, SonarCloud, disability, absence management, insurance, financial services \nCompany Description Libertyjobs.com has become an essential destination site for experienced job seekers. Our recruiters are continually posting active job openings to the website. Feel free to search our database of open positions and apply for your next career move! Hundreds of new jobs are listed on the site every month in a wide range of industries and locations. Last year we had over 900,000 unique job seekers visit our website, which means over 75,000 skilled job seekers search our openings every month. Established in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on: Information Technology, Software Programmers, Engineering, Manufacturing, Legal, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists. Libertyjobs.com has become an essential destination site for experienced job seekers. Our recruiters are continually posting active job openings to the website. Feel free to search our database of open positions and apply for your next career move!\n\nHundreds of new jobs are listed on the site every month in a wide range of industries and locations. Last year we had over 900,000 unique job seekers visit our website, which means over 75,000 skilled job seekers search our openings every month.\n\nEstablished in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on:\n\nInformation Technology, Software Programmers, Engineering, Manufacturing, Legal, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer – Cloud position include: • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly, • Utilizing your skills in engineering best practices to solve complex data problems, • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization., • Articulating architectural differences between solution methods and the advantages/disadvantages of each Qualifications Typical experience for successful candidates includes: • Experience delivering solutions on a major cloud platform, • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture, • Experience in the design and implementation of data architecture solutions, • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines, • Ability to assess and utilize traditional and modern architectural components required based on business needs., • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. Skills: Successful candidates usually have demonstrable experience with technologies in some of these categories: • Languages: SQL, Python, Java, R, C# / C++ / C, • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle, • DevOps: git, docker, subversion, Kubernetes, Jenkins, • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR, • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionDescription: About the role We're a robotics company building autonomous systems that operate in complex, dynamic environments. Our perception stack lets our robots understand, localize, and navigate the world in real time, and we care as much about robust, maintainable engineering as we do about raw algorithm performance. We're hiring a Perception Engineer to design and build the SLAM, state estimation, and computer vision our robots rely on in the field. You'll take perception algorithms from research to reliable, production-ready software, working alongside our robotics, controls, and systems engineers. This role is ideal for someone who enjoys bridging the gap between theory and deployment, turning academic algorithms into efficient, well-engineered systems. How leveling works This is one role, open at the Senior, Staff, or Lead level. The responsibilities below reflect the core of the role at every level. You don't need to decide which level fits you before applying. The selected candidate will be placed at the level commensurate with the skills, scope, and experience they demonstrate through the interview process, and the offer will align with that level. Senior and Staff are individual-contributor positions. Lead carries the same technical scope plus people-leadership responsibilities, for candidates who want them. What you'll do (all levels) • Design and implement SLAM and localization systems (visual, visual-inertial, lidar, or multi-sensor), • Develop and integrate computer vision pipelines for feature extraction, tracking, mapping, and scene understanding, • Implement and optimize estimation algorithms (filtering and optimization-based methods), • Fuse data from cameras, IMUs, lidars, and depth sensors, • Evaluate perception performance using real-world data and metrics, • Optimize algorithms for real-time performance and robustness, • Collaborate with controls and planning teams to support downstream autonomy, • Maintain clean, well-tested, production-quality code, • Contribute to tooling, datasets, and evaluation frameworks Senior Perception Engineer • Owns a defined technical area of the perception stack and delivers independently end to end, • Mentors less-experienced engineers, • Track record of shipping perception software to real systems Staff Perception Engineer • Drives technical direction and architecture across the team's area, • Sets engineering standards and multiplies the output of others, • Demonstrated influence beyond their own deliverables, across teams or an entire perception stack Lead Perception Engineer • Staff-level technical scope plus people-leadership responsibilities: direct reports, hiring, performance, and team planning, • Demonstrated ability to grow engineers and run a healthy, productive team Requirements: Required qualifications (all levels) • Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field, plus 2+ years of relevant work experience; OR a PhD in a related field., • A strong background in robotics perception or computer vision, with hands-on experience implementing SLAM or localization in real systems. We weigh what you've built and shipped over where your degree is from. An advanced degree in Robotics, CS, EE, or a related field is one path in. Equivalent industry experience is another, and just as welcome., • Solid understanding of 3D geometry and coordinate transformations, camera models and calibration, feature-based and/or direct visual methods, and probabilistic state estimation, • Proficiency in C++ and/or Python, • Experience working in Linux environments, • Familiarity with robotics software stacks such as ROS / ROS 2, • Strong debugging and data analysis skills Preferred qualifications • Experience with SLAM frameworks such as ORB-SLAM, VINS, Cartographer, or GTSAM, • Lidar-based perception and mapping, • Familiarity with deep learning perception models, • Experience deploying perception systems on real robots, • GPU acceleration (CUDA, OpenCL), • Dataset curation and annotation, • A graduate degree, or publications and research in robotics or computer vision What we offer • Work on cutting-edge robotics perception problems with real-world constraints, • The opportunity to own and evolve core autonomy components, • A collaborative, engineering-driven team culture, • Access to real robots, real data, and real impact, • The anticipated starting base salary for this position is $140,000 to $185,000 per year, placed by level as described above Location Philadelphia, PA. This is a full-time, on-site role. No remote candidates will be considered at this time. Travel None required, though domestic and international opportunities exist for engineers who want field exposure. Compensation Competitive base salary, full benefits, and a highly motivating equity incentive package. Flexible time off policy. We focus on output, impact, and the ability to work alongside a stellar interdisciplinary team. Additional Information Clear standard background checks are required pre-hire, post-hire, and at any time during employment. Permanent U.S. residency is required.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job Description About Burro Burro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors. To accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective – this enables us to deliver the most creative and innovative solutions to problems our customers face. Headquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Catalyst, Translink, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. Burros can be described as Disney's Wall-E for agriculture and work outdoors, in a 1.0 format. They function, today, as computer vision based autonomous ground vehicles for carrying, towing, and scouting, and are designed to lay the base for the fully autonomous future of work outdoors. We have a growing triple digit fleet deployed in paid commercial use within vineyards, nurseries, berries, and beyond, and demand for our product is accelerating, so we are growing our team. About The Role We are looking for a Senior Robotics Platform Engineer to own the full lifecycle of how our robots are built, provisioned, tested, and updated in the field. This is not a cloud DevOps role; this is a systems infrastructure role rooted in scaling bare-metal Linux environments, and the operational complexity of deploying software to a fleet of autonomous machines in demanding conditions. You will take us from a largely manual, labor-intensive provisioning process to a reliable, scalable, automated, and instrumented pipeline. You will own end-of-line testing, system imaging, hardware bring-up, and the tooling that makes our engineering and support teams faster and more confident. The ideal candidate has built and scaled provisioning systems before, whether for robots, medical devices, automotive systems, industrial IoT, or large-scale enterprise hardware deployments. You understand what it means to image thousands of devices reliably, catch failures before they reach the field, and build infrastructure that manufacturing and support teams can actually use. You will design solutions for the correct scale: avoiding the complexity of a solution that scales to millions, opting for the development speed of a solution that scales to thousands. You are comfortable operating in a system that is actively bootstrapping itself; building or avoiding the infrastructure that would already exist at a larger company. Responsibilities: Design and own the end-to-end provisioning pipeline: from bare-metal OS imaging through hardware configuration, software installation, calibration, and pre-shipment validation. Own provisioning for all robot hardware peripherals: depth cameras, LiDAR and GPS sensors, motor drivers, networking, and other embedded subsystems. Develop end-of-line (EOL) test frameworks and reporting infrastructure, including pass/fail logging, failure diagnostics, and traceability per unit. Collaborate with manufacturing to ensure provisioning tooling is robust, repeatable, and operator-friendly. Support our growing fleet of robots working in real-world environments by developing tooling and runbooks to diagnose, repair, and re-provision units in the field with minimal downtime. Work with R&D to commercialize and deploy new hardware and features reliability in production Build monitoring and logging infrastructure for the provisioning pipeline and runtime environments, to be integrated with dashboards and alerting for fleet-level health. Document all systems, processes, and runbooks Requirements: Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field required. We strongly weigh practical, demonstrable experience over academic credentials; candidates with equivalent industry experience building and shipping hardware systems at scale are encouraged to apply. 5+ years of hands-on experience designing and operating infrastructure for hardware at scale: robotics, autonomous vehicles, medical devices, industrial IoT, or equivalent. Demonstrated experience building provisioning or imaging pipelines for large numbers of physical devices (hundreds to thousands of units). Strong Linux systems administration: kernel configuration, systemd, networking, storage, package management, hardware interfaces. Proficiency with containerization: Docker and/or Podman, container runtime configuration, and image management at the OS level. Scripting and automation fluency in Bash and Python. Experience building or operating end-of-line or hardware acceptance test systems. Ability to work effectively across engineering, manufacturing, and support, and communicate clearly in each context. Nice-To-Haves: Experience with A/B or partition-based update systems and rollback strategies on embedded or edge Linux devices. Experience with configuration management tools such as Ansible for device fleet configuration and runbook automation in an embedded/edge context. Experience with Balena or similar container-based embedded fleet management and delta update systems. Familiarity with ROS, CAN bus, motor controllers, or other robotics-adjacent hardware and software interfaces. Familiarity with custom Linux images, RT kernel configuration, latency tuning, or other hardened/minimal Linux distributions for embedded deployment and understanding of the tradeoffs involved. Perks Competitive salary and benefits package (medical/dental/vision/life insurance) Equity 401K Plan Unlimited PTO Paid parental leave RECRUITERS: We are not accepting agency resumes for this position. Please do not forward or submit resumes through our website or to any of our employees directly. Burro is not responsible for any fees related to unsolicited resumes from recruitment agencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Senior Rust Software Developer Camden, NJ Direct Placement Relocation Assistance Available Up to $210k yearly Must have active Department of Defense Secret Clearance Excellent Benefit Package Primary Purpose Our Integrated Mission Systems is seeking an experienced Software Engineer with a strong background in the RUST Programming Language and proven experience developing systems with RUST to guide the next generation of mission-critical systems. Responsibilities include guiding adoption of RUST throughout the embedded development, managing integration or conversion of legacy software to RUST, providing best practices and architectural guidance for memory-safe usage of RUST, developing best practices and implementation guidance, and the translation of requirements into working and maintainable solutions for our C5 and Cyber Solution Centers. The selected candidate will apply technical proficiency across various stages of our SDLC, gather requirements and work closely with stakeholders to prioritize and scope tasks. The selected candidate will be working as a key team member on a Scrum team and will be instrumental in setting our direction and strategy for product and infrastructure development. Major Duties & Responsibilities • Proactively support the engineering team members in embedded software application development specifically with RUST, • Lead the adoption and deployment of RUST and associated techniques, idioms, design patterns, and tooling throughout multiple product lines, • Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target hardware, • Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system, • Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, hardware-software integration, and formal test, • Investigate root causes of complex issues, and implement solutions, working independently or with a multi-discipline team, • Develop software test plans and procedures, and other relevant technical documentation, • Utilize modeling tools and equipment to establish operating data, conduct experimental tests, prototype, and evaluate results, • Participate in peer reviews, identify, track and repair defects, • Utilize a variety of software languages (primarily RUST, C/C++, and Python) Qualifications:, • U.S. citizenship with an Active Department of Defense (DoD) Secret clearance, • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science or related field and a minimum of 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience., • 3+ years of experience developing RUST software for production systems with a deep understanding of the language, • Experience with C\C++ development, • Excellent oral and written communication skills We are an EOE. If interested, please contact Jeena Swope 412-264-4140 ext. 212 / jswope@isgwork.com

Job Description Apply Now RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded software, System Integration, Hardware Security, Xilinx, Simulation, IP core, Versal, Stratix, concept to deployment, Vivado, GHDL, Questa, Quartus Prime, Zynq, Agilex, AXI, ACE, Avalon, FPGA verification tools, reverse engineering, cocotb, pyuvm Full Time Travel required to 10%. Must be able to apply for and maintain a U.S. Government Security Clearance FPGA Engineer The EndoSec FPGA Engineer is responsible for the design, development, testing, and maintenance of IP cores and FPGA-based systems used in hardware security applications. Key Responsibilities FPGA Design and Development: Design and develop IP cores and FPGA configurations implementing the latest in leakage-resilient hardware cryptography algorithms using state-of-the-art FPGA hardware. Modeling and Simulation: Use simulation tools and verification frameworks to ensure mathematically-correct logic before hardware deployment. Hardware/Software Design: Work closely with other engineers to integrate FPGA designs with application software and embedded systems. Implement embedded software-based testing solutions where applicable to validate FPGA designs. Performance Optimization: Optimize FPGA designs for timing, resource utilization, and throughput. Identify and resolve system bottlenecks. Testing and Validation: Create comprehensive test and verification plans for FPGA components, conduct unit and integration testing, and validate hardware performance against requirements in a remote environment. System Integration: Ensure seamless integration between internally-developed and third-party IP cores, FPGA designs, and embedded systems. Collaborate with other engineers to develop and maintain system-level architecture. Troubleshooting and Debugging: Utilize debugging tools and techniques to diagnose and resolve issues within FPGA designs and hardware platforms. Documentation: Prepare detailed documentation, including design specifications, testing protocols, and user guides, to support system development and maintenance. Continuous Learning: Actively stay up-to-date with the latest advancements in FPGA technology and hardware security to continually refine and enhance system capabilities.

Job Description In today's dynamic worksites, seamless collaboration between people and machines is essential. FORT's platform ensures safe, secure, and dynamic control that surpasses legacy systems and next-generation AI capabilities. While autonomous machines offer significant advantages, they also introduce new safety challenges. FORT addresses these concerns by providing solutions such as the Wireless E-Stop, which allows operators to instantly stop any machine from a safe distance, enhancing safety during emergencies. Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility. By ensuring communications integrity across any network, FORT empowers customers to protect their most valuable assets—people, data, and machines—ensuring they remain safe and secure. As an Embedded Software Engineer II, you will own specific components of our embedded stack, working close to the hardware on the real-time firmware that our safety devices depend on. Most of your time will be spent in RTOS environments (Zephyr and FreeRTOS) and on bare-metal targets, architecting safety-critical systems where reliability is a hard requirement. You will also work with our Embedded Linux platforms where the two worlds meet, so you will be comfortable moving between constrained real-time targets and richer application environments. What You'll Do • Build the Core: Design and implement robust C/C++ firmware for safety-critical embedded devices., • Real-Time Architecture: Architect and implement RTOS-based firmware on Zephyr and FreeRTOS, including task and scheduling design, ISR handling, inter-task communication, memory and stack budgeting, and deterministic timing analysis., • Bare-Metal and Drivers: Write low-level peripheral drivers and board support code, and bring up new silicon from reset vector through to a running application., • Platform Integration: Interface RTOS devices with our Embedded Linux user-space applications, ensuring reliable communication and consistent behavior across the product., • Pipeline & Quality: Maintain and improve CI/CD pipelines (GitLab) to automate testing, including on-target and hardware-in-the-loop test execution., • Hardware Integration: Bring up new hardware, debug complex issues using JTAG/GDB, and optimize for latency, power, and memory footprint., • Safety Compliance: Collaborate with the safety team to ensure code adheres to rigorous standards (IEC 61508) while maintaining development velocity. What You Bring • Experience: 3-5 years of hands-on embedded software development, with a substantial portion on RTOS or bare-metal targets., • Core Languages: Strong proficiency in C, along with working proficiency in C++., • RTOS Knowledge: Solid production experience with an RTOS such as Zephyr, FreeRTOS, ThreadX, or similar, including scheduling, synchronization primitives, and interrupt-driven design., • Microcontroller Fluency: Comfort working directly with MCU peripherals, datasheets, reference manuals, linker scripts, and startup code., • Linux Exposure: Familiarity with Embedded Linux user-space development, sufficient to integrate and debug across the RTOS and Linux boundary., • Connectivity: Familiarity with IP networking protocols and standard interfaces (UART, SPI, I2C, USB, CAN)., • Tooling: Experience with Python for scripting/automation and familiarity with CI/CD workflows., • Debugging: Comfort using oscilloscopes, logic analyzers, JTAG, and GDB to troubleshoot hard-to-find bugs., • Education: B.S. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience. Bonus Points • Experience with Zephyr specifically, including devicetree, Kconfig, and west-based workflows., • Experience with wireless stacks (BLE, ISM, Wi-Fi) on constrained devices., • Background in Functional Safety (FuSa) or working in regulated industries (Medical, Automotive, Aerospace)., • Low-level Linux knowledge of Board Support Packages (BSP) and device drivers., • Familiarity with static analysis, MISRA C, or other coding standards used in safety-critical development. Base Compensation can range from $125,000 to $150,000 based on experience & location. FORT Robotics uses AI-assisted tools to help our recruiting team review and organize applications. These tools do not make hiring decisions; FORT employees make all decisions. To request an accommodation or a review without these tools, contact HR@fortrobotics.com

Job DescriptionDescription: TDI is seeking a motivated Mechanical Engineer to support preliminary design activities for the Navy’s future surface combatant ship. This position targets an early-career engineer with approximately 3-5 years of professional experience who is interested in developing expertise in shipboard mechanical systems, engineering analysis, systems engineering, modeling and simulation, and naval ship design. The Mechanical Engineer will contribute to the development, analysis, documentation, and integration of shipboard hull, machinery, and mechanical systems. The successful candidate will receive increasing levels of technical responsibility as experience and proficiency are demonstrated. The position provides an opportunity to work on technically challenging engineering problems involving complex shipboard systems and to collaborate with naval architects, mechanical and electrical engineers, mathematicians, systems engineers, cybersecurity personnel, government stakeholders, and industry partners. The position is based at the Naval Shipyard in Philadelphia, Pennsylvania (NSWCPD) and will require periodic travel to government, shipyard, laboratory, and vendor facilities in support of engineering meetings, testing, demonstrations, and technical investigations. Benefits: Medical, Dental, Vision, Life Insurance, Disability Insurance, Voluntary Benefits, 401K, Tuition Assistance, Paid Vacation, Paid Holiday, and Paid Sick Leave. Key Responsibilities The Mechanical Engineer will support the Lead Engineer in the following areas: • Engineering Analysis and Design, • Perform engineering analyses and calculations supporting shipboard mechanical and machinery systems., • Assist with the development and evaluation of preliminary designs, system concepts, and engineering alternatives., • Analyze mechanical and fluid systems and assist in identifying system requirements, interfaces, constraints, and performance characteristics., • Support development of equipment and system-level technical documentation., • Review engineering drawings, diagrams, specifications, technical reports, and vendor documentation for technical accuracy and consistency., • Assist in evaluating existing shipboard systems to identify key components, functions, interfaces, operating characteristics, and system dynamics., • Apply engineering fundamentals to investigate technical issues and develop practical engineering recommendations., • Support reliability engineering activities and engineering assessments as directed by the Lead Engineer. Fluid Systems and Modeling • Support development and analysis of shipboard fluid and machinery systems., • Develop or review fluid-system models and engineering calculations used to evaluate system performance., • Assist with modeling of pumps, valves, piping systems, heat exchangers, tanks, controls, and other mechanical system components., • Support the development of system models for engineering studies and concept evaluations., • Use engineering software and computational tools to perform calculations, evaluate alternatives, and communicate technical results., • Develop proficiency with fluid-system modeling tools such as PIPE-FLO or comparable software as required by project assignments., • Assist with the documentation and validation of engineering models and assumptions. Systems Engineering and Digital Engineering • Support the Lead Engineer in documenting system requirements, functional relationships, interfaces, and system architecture., • Assist in developing system models and model components for complex HM&E systems., • Research and organize technical information required to represent existing shipboard systems within modeling and simulation environments., • Support use of digital engineering and systems modeling tools, potentially including Cameo Systems Modeler, PhoenixModelCenter, BOXARR, Innoslate, or comparable platforms., • Assist in maintaining engineering data, assumptions, calculations, model documentation, and configuration-controlled technical products. Technical Documentation • Prepare engineering memoranda, technical reports, calculations, presentations, diagrams, spreadsheets, and other technical products., • Support preparation and review of system development plans, specifications, requirements documents, and engineering studies., • Translate technical information from government, industry, and vendor sources into clear engineering documentation., • Research technical standards, specifications, regulations, and other engineering references applicable to shipboard systems., • Assist in documenting engineering processes, methodologies, assumptions, and analytical results., • Prepare meeting materials and technical briefings under the direction of the Lead Engineer. Testing, Demonstrations, and Technical Investigations • Provide engineering support during machinery research, development, testing, and evaluation activities., • Participate in technical meetings, equipment demonstrations, testing activities, and site visits., • Assist with development of test plans, data collection approaches, engineering assessments, and test documentation., • Review test data and assist in identifying trends, anomalies, and potential engineering issues., • Support technical investigations conducted at Philadelphia-area government, shipyard, laboratory, and vendor facilities. Program and Team Support • Participate in multidisciplinary engineering meetings and technical reviews., • Track assigned technical action items and assist with preparation of meeting minutes and status updates., • Develop task-level schedules, work plans, and technical approaches for assigned engineering activities., • Communicate technical findings and project status clearly to the Lead Engineer and other team members., • Coordinate with other engineers to identify technical interfaces, dependencies, and potential conflicts., • Support preparation of engineering and acquisition documentation associated with DoD programs., • Perform other engineering duties as assigned by the Lead Engineer or Project Manager. Required Qualifications • Bachelor's degree in Mechanical Engineering, Marine Engineering, Naval Architecture, or a closely related engineering discipline., • 3-5 years of relevant engineering experience. Strong candidates with less than two years of experience will be considered., • Demonstrated understanding of fundamental mechanical engineering principles, including fluid mechanics, thermodynamics, heat transfer, mechanics, and/or machine design., • Ability to read and interpret engineering drawings, schematics, specifications, technical reports, and equipment documentation., • Strong analytical and problem-solving skills., • Ability to organize technical information and communicate engineering findings clearly in written and verbal form., • Proficiency with Microsoft Office applications, particularly Word, Excel, and PowerPoint., • Ability to work independently on assigned technical tasks while operating effectively as part of a multidisciplinary engineering team., • Ability and willingness to work in the Philadelphia-area engineering and shipbuilding environment and travel periodically to government, shipyard, laboratory, and vendor facilities. Clearance & Certifications Special Requirements: • U.S. citizenship required; must possess or be able to obtain a Secret clearance within 90 days of hire., • Must have a valid US passport or the ability to obtain one upon position acceptance., • Due to the nature of our work with the U.S. Department of Defense, U.S. citizenship is required. Some positions may require the renunciation of any non-U.S. citizenship to obtain and maintain a security clearance. Preferred Qualifications • Experience with shipboard mechanical, machinery, HVAC, piping, propulsion, auxiliary, or other HM&E systems., • Experience with fluid-system analysis or modeling software such as PIPE-FLO, AFT Fathom, AFT Arrow, or comparable tools., • Experience with CAD or engineering drawing tools., • Experience with MATLAB, Python, or other engineering computational tools., • Familiarity with systems engineering, model-based systems engineering (MBSE), or digital engineering concepts., • Experience with Cameo Systems Modeler, PhoenixModelCenter, BOXARR, Innoslate, or comparable modeling platforms., • Experience supporting engineering testing, demonstrations, laboratory activities, or equipment evaluations., • Familiarity with Navy, DoD, commercial marine, or other applicable engineering standards and specifications., • Engineer-in-Training (EIT) certification or progress toward professional engineering licensure., • Previous experience supporting government or defense programs. Desired Professional Characteristics The successful candidate will be a technically curious engineer who is interested in learning how complex shipboard systems operate as integrated systems rather than focusing exclusively on individual components. The candidate should demonstrate: • Strong attention to technical detail., • Intellectual curiosity and willingness to learn unfamiliar systems., • A methodical approach to engineering analysis and problem solving., • Ability to ask appropriate questions and seek assistance when necessary., • Ability to work effectively with senior engineers and subject-matter experts., • Strong written and verbal communication skills., • Ability to manage multiple assignments and meet established deadlines., • Professional judgment regarding technical assumptions, data quality, and engineering uncertainty., • Interest in developing expertise in naval ship design, machinery systems, systems engineering, and engineering modeling. Education and Experience Progression This position is intentionally structured to accommodate engineers at different stages of early professional development. An engineer entering the position with limited experience will initially focus on engineering calculations, technical research, documentation, model development, drawing review, and other defined technical assignments under the direction of the Lead Engineer. As proficiency develops, the engineer will assume increasing responsibility for individual systems, engineering analyses, technical documents, and modeling activities. A successful engineer should ultimately be capable of independently performing defined engineering studies, developing technical products, coordinating with other technical disciplines, and presenting engineering findings to the Lead Engineer and project team. The position may involve occasional travel in support of technical meetings, testing, demonstrations, engineering investigations, and program activities. Equal Employment Opportunity Policy: TDI Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Requirements:

Job DescriptionDescriptionBlue Mantis is looking to hire a IT Operations Engineer to support multiple customers based in the NJ/Philadelphia PA area. The ideal candidate will be proficient in supporting various systems and applications, including server and cloud environments, and should also have experience with networking. This team supports a wide array of technologies to meet the needs of our customers’ large enterprise network environments. Key Responsibilities • Server Administration: Manage and maintain Windows, Linux, and Unix environments to ensure optimal performance., • Cloud Operations: Administer cloud platforms including AWS, Azure, and O365 for enterprise workloads and containerization., • Virtualization: Manage, configure, and troubleshoot VMware-based environments to ensure optimal performance, scalability, and availability of virtualized infrastructure., • System Monitoring: Leverage platforms such as SolarWinds and DataDog to ensure network reliability and performance., • Incident Management: Lead network-related incident resolution, ensuring SLAs are met and escalating issues when necessary., • Security Best Practices: Implement and support secure networking solutions, ensuring robust protection in on-premise and cloud environments., • Documentation: Create and maintain detailed network documentation, including topology maps and procedures for troubleshooting. Skills, Knowledge and ExpertiseRequired Skills • Strong experience Cisco Nexus/Arista/Meraki Switches, Cisco Wireless Controllers, Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Hands-on experience with cloud platforms (AWS, Azure, O365, VMware) and virtualization/containerization technologies, Infoblox, DNS, and remediation of vulnerabilities., • Backup and DR Support: Experience supporting and troubleshooting backup and disaster recovery solutions such as Rubrik and Zerto, ensuring data protection and system resilience., • Hands-on experience with firewalls, routing protocols, and network monitoring tools like SolarWinds., • Familiarity with automation tools and scripting, • Excellent problem-solving skills with the ability to adapt to dynamic priorities.Preferred Skills, • Network troubleshooting in data center environments. (Cisco, Palo Alto, Meraki, Arista), • Proficiency in scripting languages (Python, PowerShell, Bash) for automating server and cloud operations., • Familiarity with cloud-based networking solutions in AWS, Azure, or O365 environments., • Knowledge of infrastructure capacity planning and performance tuning., • Knowledge of Kubernetes, Docker, and container orchestration for managing distributed applications., • Familiarity with security best practices, SIEM platforms, and endpoint protection., • Experience with advanced video streaming technologies and CDNs., • Familiarity with infrastructure performance tuning and capacity planning.Qualifications, • Provide game day support on major holidays when games are played., • Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent hands-on experience., • Certifications: CCNA, CCNP (or equivalent) ITIL and technical certifications in, servers and/ or cloud (preferred)., • Experience: Demonstrated expertise in a complex, multisite environment. Base Salary Range: $120,000 to $165,000 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of the work being performed by employees in this role. It is not intended to be a complete list of all responsibilities, duties, and skills required.

Job DescriptionDescriptionBe Part of the Team Behind the Game Are you ready to bring your network expertise to the global stage of one of the biggest professional sports leagues in the US? Blue Mantis is seeking a highly skilled and versatile, Swiss Army Knife IT Operations Engineer to support enterprise-class data centers and ensure seamless network operations. This role focuses on ensuring high availability and performance of network infrastructure while contributing to game-day success. The ideal candidate will be a proactive and adaptable professional with a passion for innovation, an ability to multitask and reprioritize in real-time and a commitment to delivering excellence in a fast-paced, mission-critical environment. This candidate will be proficient in supporting server and cloud environments but should also have experience with networking as this team will be supporting a wide array of technologies to support the company infrastructure and game day operations. If you thrive under pressure and excel at managing complex technical challenges, this is your opportunity to make an impact. Working for Blue Mantis at this customer, you’ll operate in a high-pressure, high-reward environment, directly impacting game-day success and ensuring a successful fan experience. Bring your technical prowess, leadership and passion for innovation to the league’s fast-paced and mission-critical IT environment. Work Schedule includes working Weekends and Holidays. Onsite Schedule: 2nd Shift 3PM to 12AM. Days Onsite: Friday/Saturday/Sunday/Monday/Tuesday. Key Responsibilities • Server Administration: Manage and maintain Windows, Linux, and Unix environments to ensure optimal performance., • Cloud Operations: Administer cloud platforms including AWS, Azure, and O365 for enterprise workloads and containerization., • Virtualization: Manage, configure, and troubleshoot VMware-based environments to ensure optimal performance, scalability, and availability of virtualized infrastructure., • System Monitoring: Leverage platforms such as SolarWinds and DataDog to ensure network reliability and performance., • Incident Management: Lead network-related incident resolution, ensuring SLAs are met and escalating issues when necessary., • Security Best Practices: Implement and support secure networking solutions, ensuring robust protection in on-premise and cloud environments., • Documentation: Create and maintain detailed network documentation, including topology maps and procedures for troubleshooting. Skills, Knowledge and ExpertiseRequired Skills • Strong experience Cisco Nexus/Arista/Meraki Switches, Cisco Wireless Controllers, Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Strong experience in NOC operations with expertise in Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Hands-on experience with cloud platforms (AWS, Azure, O365, VMware) and virtualization/containerization technologies., • Backup and DR Support: Experience supporting and troubleshooting backup and disaster recovery solutions such as Rubrik and Zerto, ensuring data protection and system resilience., • Hands-on experience with firewalls, routing protocols, and network monitoring tools like SolarWinds., • Familiarity with automation tools and scripting, • Excellent problem-solving skills with the ability to adapt to dynamic priorities.Preferred Skills, • Network troubleshooting in data center environments. (Cisco, Palo Alto, Meraki), • Proficiency in scripting languages (Python, PowerShell, Bash) for automating server and cloud operations., • Familiarity with cloud-based networking solutions in AWS, Azure, or O365 environments., • Knowledge of infrastructure capacity planning and performance tuning., • Knowledge of Kubernetes, Docker, and container orchestration for managing distributed applications., • Familiarity with security best practices, SIEM platforms, and endpoint protection., • Experience with advanced video streaming technologies and CDNs., • Familiarity with infrastructure performance tuning and capacity planning.Qualifications, • Provide game day support on major holidays when games are played., • Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent hands-on experience., • Certifications: CCNA, CCNP (or equivalent) ITIL and technical certifications in, servers and/ or cloud (preferred)., • Experience: Demonstrated expertise in a complex, multisite environment.Base Salary Range: $120,000.00 - $165,000.00 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. BenefitsWhat You’ll Gain • The unique opportunity to be part of the league’s technological foundation., • A challenging, high-energy workplace with direct impact on game-day success., • Hands-on experience with cutting-edge technologies in a mission-critical environment., • Opportunities for growth, learning, and professional development.Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time we have no interest in onboarding any new staffing partners.

Job Description Overview CTG is seeking to fill a Backend Developer - SQL, .NET, Python opening for our client in Philadelphia, PA. Location: Philadelphia, PA Duration: 12 months Overview: The Backend Developer will provide design and technical direction in the development of new or existing applications to solve complex problems. This role involves serving as a principal application designer, ensuring solutions are technologically sound, and providing analytical leadership. The engineer will engage in day-to-day support activities and special projects, while directing and mentoring less experienced personnel. Primary Responsibilities: • Complete and oversee systems analysis, design, and development for projects of varying complexity., • Act as an individual contributor on complex projects, maintaining a strong understanding of supported applications., • Direct and monitor the work of less experienced team members, coordinating development tasks on projects of all sizes., • Prepare and manage the technical components of project plans., • Collaborate with Development, Operations, and Technology staff throughout the systems development lifecycle, from technical analysis to user acceptance testing., • Prepare test data, execute detailed test plans, and perform debugging as required., • Analyze and understand the complex interrelationships among programs and applications., • Provide analytical consulting to identify and implement new uses of information technologies aligned with business objectives., • Prepare and review comprehensive technical and functional specifications and documentation., • Maintain efficient operation of supported applications and recommend improvements or new technologies., • Promote and follow development standards and procedures., • Assist in developing expense and capital budgets as necessary., • Ensure adherence to the company's risk and regulatory standards, escalating risk-related issues as needed., • Support diversity initiatives that reflect the company brand and values. Scope of Responsibilities: The position operates under the supervision of the Technology Team Lead and is expected to work independently on high-level systems analysis and technical development phases. The Software Engineer II will manage project activities for both small and large scope efforts, interact with senior management, and serve as a technical representative on various committees or projects. Education and Experience Required: • Minimum of an Associate's degree and 5 years of systems analysis/application development experience, or a combined minimum of 7 years of higher education and/or work experience, including 5 years of relevant experience., • Familiarity with application development software and hardware platforms., • Proficiency in personal computers and relevant project management, word processing, and spreadsheet software., • Strong problem-solving skills and ability to manage multiple complex projects., • Excellent verbal and written communication skills, with experience in presenting to varied audiences., • Strong organizational and time management skills, detail-oriented with strong lateral thinking skills. Education and Experience Preferred: • Good understanding of the Bank's application framework., • Subject matter expertise in the business with knowledge or experience utilizing the supported application/system., • Advanced understanding of supported applications and knowledge of interfacing applications., • Ability to work effectively in both team environments and autonomously., • Strong multitasking skills for various components of complex projects., • Action-oriented and proactive in approach. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Laura Dominguez at laura.dominguez@ctg.com. Kindly forward this to any other interested parties. Thank you!

Job Description:\n\nDescription:\nTDI Technologies, Inc. is seeking an early- to mid-career Mechanical Test & Fluid Systems Engineer to provide hands-on engineering support to the Navy Surface Warfare Center Philadelphia Division (NSWCPD) Machinery Technology and R&D organization. The engineer will support research, development, testing, and evaluation of submarine hull, mechanical, and electrical (HM&E) systems and components, with particular emphasis on fluid systems, flow testing, acoustics, machinery testing, and experimental engineering. \n\nThe successful candidate will provide engineering support to the Machinery Silencing RDT&E Branch Fluid Labs Group and associated test facilities, including the Quiet Flow Test Facility and Shipboard Hydraulic Laboratory. \n\nResponsibilities will include test planning and design, development of test procedures, test execution, instrumentation and data acquisition, fluid-flow and acoustic measurements, engineering analysis, troubleshooting, and preparation of technical reports. \n\nThis position is well suited for an engineer who enjoys applying mechanical engineering fundamentals to real-world experimental problems and is comfortable working directly with test equipment, fluid systems, instrumentation, machinery, and engineering personnel. The successful candidate will be expected to contribute to the design and execution of testing, interpret experimental results, identify and troubleshoot problems, and provide engineering recommendations. \n\nBenefits\nMedical, Dental, Vision, Life Insurance, Disability Insurance, Voluntary Benefits, 401K, Tuition Assistance, Paid Vacation, Paid Holiday, and Paid Sick Leave.\n\nKey Responsibilities \n\nTest Planning, Design, and Execution \n•Develop and support detailed test plans for operational, hydraulic, fluid-flow, acoustic, and machinery testing of submarine HM&E components and systems. \n•Provide engineering input to the design and configuration of laboratory and test-site setups. \n•Develop and document test procedures, operating instructions, and safety procedures necessary to conduct testing safely and effectively.\n•Review test objectives, equipment requirements, instrumentation requirements, expected operating conditions, and \nanticipated test results prior to test execution. \n•Support test readiness reviews and other technical reviews associated with laboratory and test-site operations. \n•Execute approved test procedures and provide hands-on engineering support during test operations. \n•Monitor test activities and equipment operation to identify unexpected conditions, anomalies, or performance issues requiring engineering attention. \n•Document test activities, observations, equipment conditions, operating parameters, and test results. \n•Support test planning and scheduling activities and coordinate with government engineering, laboratory, and technical personnel.\n\n Fluid Systems and Flow Testing \n•Apply mechanical engineering and fluid mechanics principles to the analysis and testing of hydraulic and fluid-flow systems and components. \n•Support testing and evaluation of submarine HM&E components, including valves, flow-control components, CORDs, and related systems. \n•Evaluate fluid-flow performance, pressure, flow rate, differential pressure, and other relevant operating parameters. \n•Assist with the design, modification, installation, operation, and troubleshooting of fluid test systems and associated laboratory equipment. \n•Identify potential sources of abnormal system behavior, flow instability, vibration, noise, or other performance issues. \n•Provide engineering recommendations related to test configuration, equipment operation, component performance, and troubleshooting. \n•Work collaboratively with Fluid Labs subject matter experts and engineering personnel to resolve technical issues encountered during testing. \n\nAcoustic Testing and Analysis \n•Support the acquisition, processing, and engineering evaluation of acoustic measurements obtained during operational and flow testing. \n•Evaluate acoustic test results against established operational thresholds, requirements, or expected performance. \n•Support the setup, verification, and operation of acoustic sensors, instrumentation, and associated data acquisition systems. \n•Analyze acoustic and vibration-related test data to identify trends, anomalies, and potential sources of excessive noise or vibration.\n•Apply fundamental principles of acoustics, vibration, fluid mechanics, and mechanical systems to interpret experimental results. \n•Support engineering investigations into machinery, fluid-flow, and component-generated acoustic phenomena. \n•Communicate acoustic test results and engineering findings to government and contractor engineering personnel. \n\nInstrumentation and Data Acquisition \n•Configure, operate, troubleshoot, and maintain laboratory instrumentation, sensors, and data acquisition systems used during mechanical, fluid, and acoustic testing. \n•Verify instrumentation and data acquisition equipment are properly configured and functioning prior to testing. \n•Select and apply appropriate measurement techniques and instrumentation for engineering test requirements. \n•Assist with troubleshooting sensors, transducers, DAQ hardware, signal-conditioning equipment, and associated test instrumentation. \n•Maintain appropriate documentation of instrumentation configuration, calibration status, test setup, and measurement requirements. \n•Utilize C324 data acquisition systems to configure and record test data during test execution. \n•Review collected data for completeness, consistency, validity, and indications of anomalous test conditions. \n\nEngineering Analysis and Technical Evaluation \n•Perform engineering analysis of experimental test results using appropriate mechanical engineering, fluid mechanics, and acoustic principles. \n•Evaluate test data to determine component and system performance relative to test objectives and expected operating conditions. \n•Identify trends, relationships, anomalies, and significant findings within experimental data. \n•Compare test results against established requirements, baseline performance, theoretical expectations, or previous test results when appropriate. \n•Develop engineering calculations, plots, tables, and other technical analyses to support evaluation of test results. \n•Use MATLAB, Excel, or other engineering analysis tools as appropriate to support data processing and engineering evaluation. \n•Apply engineering judgment to determine whether test results are technically reasonable and whether additional testing or troubleshooting may be required. \n•Communicate engineering findings and recommendations to project engineers, government technical personnel, and other stakeholders.\n\nEngineering Design and Troubleshooting \n•Provide engineering support for the design, modification, installation, operation, maintenance, and troubleshooting of HM&E laboratory and test systems. \n•Assist in developing practical engineering solutions to test-system, equipment, instrumentation, and component problems. \n•Review engineering drawings, schematics, equipment specifications, test configurations, and technical documentation. \n•Identify potential improvements to test setups, instrumentation, procedures, and equipment. \n•Support repair and modification activities associated with laboratory and test equipment. \n•Work with engineers, technicians, and laboratory personnel to implement and verify engineering solutions. \n•Provide engineering recommendations based on test results, observed equipment behavior, and applicable engineering principles. \n\nTechnical Documentation and Reporting \n•Prepare technical documentation describing test objectives, test configuration, procedures, instrumentation, operating conditions, results, analysis, and conclusions. \n•Prepare and review post-test technical reports and engineering deliverables. \n•Develop charts, plots, tables, calculations, and other engineering presentations of test results. \n•Maintain clear and traceable documentation of test activities, engineering analyses, equipment configuration, and technical decisions. \n•Prepare supporting documentation for Mission Readiness Panels and other technical reviews as required. \n•Participate in technical meetings, design reviews, test readiness reviews, and post-test reviews. \n•Present technical findings and recommendations to engineering personnel and other stakeholders as required. \n\nLaboratory and Engineering Support \n•Support preparation, setup, operation, modification, and teardown of laboratory test equipment and machinery. \n•Maintain laboratory equipment and test setups in a safe and operational condition. \n•Support troubleshooting and resolution of test equipment, instrumentation, machinery, fluid-system, and facility issues.\n•Follow established laboratory, engineering, quality, security, and safety procedures. \n•Work collaboratively with mechanical, electrical, acoustics, fluid systems, test, laboratory, and other engineering personnel. \n•Perform additional engineering analysis, testing, design, and laboratory support activities as assigned. \n\nRequired Qualifications \n•Bachelor’s degree in Mechanical Engineering or an equivalent engineering discipline from an ABET-accredited college or university. \n•Minimum of three (3) years of relevant engineering experience. \n•Professional experience with mechanical testing, fluid systems, fluid flow, acoustics, vibration, or related experimental engineering activities. \n•Demonstrated understanding of fundamental mechanical engineering principles, including fluid mechanics and mechanical systems. \n•Experience developing, reviewing, or executing engineering test plans and procedures. \n•Experience with laboratory or field instrumentation, sensors, transducers, and/or data acquisition systems. \n•Ability to interpret engineering drawings, schematics, test procedures, technical documentation, and equipment specifications. \n•Ability to analyze experimental data and apply engineering judgment to evaluate test results. \n•Experience troubleshooting mechanical systems, test equipment, instrumentation, or fluid systems. \n•Strong written and verbal communication skills. \n•Ability to work independently while collaborating effectively with engineers, technicians, laboratory personnel, government personnel, and project management. \n•Ability and willingness to perform hands-on engineering activities in a laboratory and test environment. \n\nClearance & Certifications /Special Requirements\n•U.S. citizenship required; must possess or be able to obtain a Secret clearance within 90 days of hire.\n•Must have a valid US passport or the ability to obtain one upon position acceptance.\n•Due to the nature of our work with the U.S. Department of Defense, U.S. citizenship is required. Some positions may require the renunciation of any non-U.S. citizenship to obtain and maintain a security clearance.\n\nPreferred Qualifications \n•Experience with fluid-flow testing, hydraulic systems, or experimental fluid mechanics. \n•Experience with acoustic testing, noise measurement, vibration testing, or machinery silencing. \n•Experience evaluating acoustic data against operational or engineering requirements.\n•Experience with valves, flow-control devices, piping systems, hydraulic components, or other HM&E equipment. \n•Experience developing test-site configurations or providing engineering design guidance for laboratory testing. \n•Experience troubleshooting mechanical, hydraulic, pneumatic, or fluid flow systems. \n•Experience with laboratory data acquisition systems and instrumentation. \n•Experience with pressure, flow, temperature, vibration, acoustic, or other engineering measurement systems. \n•Experience with MATLAB, LabVIEW, Python, Excel, or other engineering analysis and test-support software. \n•Experience supporting naval, maritime, submarine, defense, or other government engineering programs. \n•Experience with submarine hull, mechanical, and electrical (HM&E) systems. \n•Familiarity with engineering test and evaluation processes. \n•Familiarity with technical reviews, test readiness reviews, and post-test reporting. \n•Familiarity with Navy laboratory, test facility, or shipboard engineering environments. \n\nWork Environment \nThis is a full-time, on-site engineering position located at the Philadelphia Navy Yard. The position requires a combination of hands-on laboratory and test activities and office-based engineering analysis and documentation. \n\nThe engineer should be comfortable working directly with machinery, fluid systems, piping and components, instrumentation, sensors, acoustic measurement equipment, and data acquisition systems. The position may require participation in test setup, equipment installation or modification, troubleshooting, test execution, and teardown activities. \n\nBecause the position supports work requiring access to classified information, an active Secret security clearance is required. Candidates with strong mechanical engineering fundamentals and relevant experience in fluid mechanics, acoustics, mechanical testing, experimental engineering, or HM&E systems are encouraged to apply. Experience supporting Navy or defense programs and experience working in laboratory or test environments are highly desirable.\n\nIdeal Candidate \nThe ideal candidate is an early- to mid-career mechanical engineer who enjoys applying engineering fundamentals to hands-on testing, troubleshooting, and design problems. \n\nThe candidate should have a strong foundation in fluid mechanics and mechanical systems, with practical experience or demonstrated interest in acoustics, vibration, fluid-flow testing, or experimental engineering. This individual should be comfortable moving between the laboratory and engineering office—helping design a test setup, configuring instrumentation, operating and troubleshooting equipment, executing testing, evaluating acoustic and fluid-flow results, and documenting engineering conclusions. \n\nThe successful candidate will be a technically curious, hands-on engineer who can work independently, communicate effectively with government and contractor personnel, and use engineering judgment to turn experimental observations and test data into useful engineering conclusions and recommendations.\n\nEqual Employment Opportunity Policy\nTDI Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\n\nRequirements:

Job DescriptionDevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response., • Create working reference solutions with clear setup and validation steps., • Review AI-generated solutions, identify failures, and provide precise technical corrections., • Maintain high standards for correctness, reliability, and reproducibility., • Provide structured feedback to improve AI-generated DevOps workflows.Required Skills, • Kubernetes, • Terraform, • CI/CD, • Python, • Linux, • Docker, • Git, • Cloud Platforms, • Infrastructure as CodeRequired Qualifications, • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering., • Strong coding skills in Python, Go, Bash, or TypeScript., • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins., • Practical experience with Docker, Kubernetes, and at least one major cloud platform., • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation., • Advanced Linux and Git skills., • Strong written and spoken English., • Availability of at least 20 hours per week.Preferred Qualifications, • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry., • Background in security, secrets management, or platform reliability., • Open-source contributions or technical writing experience., • Previous experience with AI training data or model evaluation.

Job Description Position Summary The Kubernetes Platform Engineer – Voice Services Modernization is responsible for designing, deploying, automating, and operationalizing cloud-native infrastructure for mission-critical voice applications. This role focuses on transforming traditional VM-based voice middleware and backend services into scalable, resilient Kubernetes-based platforms using modern DevOps, CI/CD, infrastructure-as-code, and observability practices. The engineer will work across infrastructure, application modernization, automation, and operational support to ensure highly available, low-latency voice services are successfully migrated into production cloud-native environments. Core Responsibilities • Assess existing voice applications, infrastructure dependencies, and VM-based deployment environments, • Design Kubernetes-based architectures optimized for latency-sensitive and high-availability voice workloads, • Containerize middleware and backend applications and establish scalable deployment strategies, • Build and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management, • Develop infrastructure automation using Ansible and Terraform, • Deploy, configure, and support Kubernetes and cloud platforms across AWS, Azure, GCP, OpenStack, or OpenShift, • Implement observability solutions including centralized logging, monitoring, alerting, and dashboarding, • Apply operational best practices for security, resiliency, scalability, and production support, • Support staged migration planning, testing validation, and production cutover activities, • Troubleshoot application, platform, and infrastructure issues across cloud-native environments, • Create operational documentation and provide knowledge transfer to engineering and operations teams, • Collaborate with development, operations, and architecture teams to modernize legacy voice services Required Technical Skills • Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting, • Strong Ansible experience including role and playbook development, • CI/CD pipeline development and automation experience, • Cloud platform administration (AWS, Azure, GCP, OpenStack), • Infrastructure-as-Code using Terraform, • Experience with monitoring, logging, dashboarding, and alerting platforms, • Scripting or programming experience (Python preferred), • Production applications support and operational troubleshooting, • Understanding of high-availability and low-latency application architectures Preferred / Nice-to-Have Skills • Red Hat OpenShift experience, • AI/ML platform exposure or AI-assisted operations tooling, • Telecom or voice application experience (SIP, SBCs, IMS, voice middleware), • Experience supporting cloud-native migrations from VM environments, • GitOps and modern deployment methodologies, • Experience with observability platforms such as Prometheus, Grafana, ELK, Splunk, or Datadog, • Outcome / Business Objective, • Deliver a production-ready, Kubernetes-based runtime environment for voice middleware and backend services that improves scalability, resilience, automation, and operational efficiency while minimizing service disruption and migration risk.

Job Description The FreedomPay Commerce Platform is the technology of choice for many of the largest companies across the globe in retail, hospitality, lodging, gaming, sports and entertainment, foodservice, education, healthcare and financial services. FreedomPay’s technology has been purposely built to deliver rock solid performance in the highly complex environment of global commerce. The company maintains a world-class security environment and was first to earn the coveted validation by the PCI Security Standards Council against Point-to-Point Encryption with EMV standard in North America. FreedomPay’s robust solutions across payments, security, identity and data analytics are available in-store, online and on-mobile and are supported by rapid API adoption. The award winning FreedomPay Commerce Platform operates on a single, unified technology stack across multiple continents allowing enterprises to deliver a consistent, repeatable experience on a global scale. FreedomPay is a fast paced, high growth company with a great culture with competitive benefits and compensation with a business casual atmosphere. FreedomPay is seeking a Platform Operations Engineer to help the Platform Operations team maintain operational readiness as the company scales. This role is focused on automation and AI strategies to build and improve tools and processes that keep pace with FreedomPay’s growth. You’ll work closely with Platform Operations Analysts, engineering, and infrastructure teams to identify automation opportunities, apply AI-driven tooling to detect and resolve issues faster, and continuously improve how the team monitors the platform. Primary Responsibilities • Identify monitoring and performance optimization opportunities, implement improvements, and continuously optimize system monitoring across the platform., • Apply AI and machine learning to platform operations, including anomaly detection, alert correlation, and noise reduction, to detect and resolve issues faster., • Conduct root cause analysis for platform incidents, implement and maintain monitoring tools, and develop proactive strategies and solutions to prevent recurrence., • Serve as an escalation point for complex technical issues related to platform and services performance and stability. Manage problems and coordinate escalation and resolution efforts, developing solutions that minimize business impact., • Build and maintain AI assisted tooling and automation that reduces manual operational work and speeds up incident response., • Document procedure improvements and maintain detailed SOP and Alert Response documentation to support operational consistency and knowledge retention., • Continuously build technical knowledge and act as a subject matter expert in observability and AI driven operations, while maintaining strong relationships with stakeholders across FreedomPay. Required Background and Experience, • BS degree in Computer Science or equivalent, or equivalent years of relevant experience., • 4+ years of hands on experience in observability, monitoring, or site reliability roles within highly available, high throughput, or transaction processing environments., • Demonstrated experience applying AI or machine learning tools to operational problems such as anomaly detection, alert correlation, or automated remediation., • Strong incident management track record, with a history of driving issues to resolution and minimizing business impact., • Excellent communication and organizational skills, with a strong sense of ownership and service.Required Technical Skills, • Deep proficiency with an enterprise APM or observability platform (Dynatrace, Datadog, New Relic, or comparable), including dashboard design, alerting strategy, and performance analysis., • Hands on experience with AIOps and ML driven observability, including anomaly detection, alert correlation, and intelligent noise reduction, to surface issues earlier and shorten time to detection., • Experience with log management and analysis tools such as Splunk or similar platforms, used to correlate signals and drive root cause analysis., • Experience with AI-assisted development, agent workflows, and LLM-based tooling with Claude, Codex, or similar, applied to incident response, runbook automation, and knowledge tooling., • Proficiency in scripting and automation, including PowerShell and/or Python, to build observability tooling, automate alert response, and drive remediation work., • Experience using Azure Logic Apps, Azure Functions, or Azure AI Foundry to build AI-driven automation workflows., • Working knowledge of monitoring modern containerized workloads., • Administration of third-party tools with Configuration-As-Code.Preferred Qualifications, • Experience with payment processing systems or financial services., • Knowledge of PCI policies and best practices., • Experience building AI agent workflows, LLM based tooling, or automation pipelines., • Experience mentoring and sharing knowledge with team members. As the fastest growing commerce company in the industry, we offer the opportunity for tremendous upward mobility within the company as well as development and professional growth opportunities. FreedomPay's fulltime roles provide exceptional benefits including medical, prescription, dental and vision coverage, Life Insurance, Retirement Plans with company match, commission sharing plan, flexible hybrid working environment, and great parental and other leave programs. All positions must be able to successfully pass a background check as well as a credit check. FreedomPay is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.