530 jobs found

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Position Summary: The Robotic Welding Programmer is responsible for programming, configuring, and optimizing robotic welding systems to produce high-quality welded products safely and efficiently. This role troubleshoots robotic welding systems and works closely with engineering, quality, and production teams to support manufacturing operations. Primary Responsibilities: Program and optimize robotic welding systems for new and existing products. Create, modify, and troubleshoot robot programs using teach pendants and offline programming software where applicable. Develop weld paths, torch angles, travel speeds, and welding parameters to ensure quality and productivity. Set up robotic welding cells for new product launches and engineering changes. Troubleshoot robot programming, welding quality, and equipment issues. Optimize cycle times while maintaining safety and product quality. Perform robot backups, software updates, and program documentation. Collaborate with engineering to design fixtures and improve manufacturability. Support preventive maintenance and equipment calibration activities. Analyze weld quality and implement corrective actions for defects. Train operators and technicians on proper robot operation and basic troubleshooting. Read and interpret engineering drawings, GD&T, weld symbols, and specifications. Support continuous improvement initiatives using Lean manufacturing principles. Ensure compliance with safety standards, company policies, and customer requirements. Perform other duties as required or assigned. Qualifications: High school diploma or GED required; associate degree or technical certification in robotics, welding, manufacturing, or a related field preferred. 3-5 years of robotic welding programming experience in a manufacturing environment. Experience with MIG (GMAW) and/or TIG (GTAW) welding processes. Experience programming one or more robotic platforms. Knowledge of robotic welding power sources. Strong understanding of robotic programming principles and motion optimization. Knowledge of welding metallurgy and welding procedures. Ability to troubleshoot robot hardware, software, sensors, and welding equipment. Ability to interpret blueprints, weld symbols, and geometric dimensioning and tolerancing (GD&T). Experience with offline programming software is preferred. Minimum Physical Requirements and Accountability: Work often involves extended periods of standing, walking, and performing repetitive or physically demanding tasks. Effective verbal communication and hearing are essential for maintaining safety, receiving instructions, and coordinating with team members in person, over radios, or through alarms. Both fine motor skills (e.g., handling small components, precision work) and gross motor skills (e.g., operating tools and heavy equipment) are critical. Visual acuity is required for reading blueprints, measuring materials, performing precision work, and maintaining situational awareness; near, far, and peripheral vision may all be needed. Must be able to work in a variety of environments, including indoor and outdoor settings, as well as dusty, loud, hot, cold, or potentially hazardous areas. Tasks may involve bending, stooping, reaching overhead or below shoulder height, crouching, kneeling, climbing ladders or ramps, and maintaining balance on uneven surfaces. Must be able to work at heights, in confined spaces, or in other challenging physical locations as required by the task. Must be able to lift, carry, push, or pull up to 50 lbs independently. Must comply with all company policies and procedures. Consistent, punctual attendance during core business hours is essential. Reliable transportation is required for commuting and occasional travel between local corporate offices and job sites during business hours. All employees are accountable for safety and health and are empowered to stop work if an unsafe condition is present. Employees should immediately notify their supervisor so that the hazard may be corrected. What Sets RK Industries Apart Safety: Our unmatched culture of safety is our foremost core value, guiding everything we do each day: Health, Safety, & Environmental Awards: Whether in Construction, Manufacturing, Fabrication, or Service, RK Industries is highly recognized and accredited throughout the industry: Accreditations & Recognition Benefits: RK Industries offers competitive benefits to support your growth and well-being: Benefits & Rewards Philanthropy: RK Industries not only builds our community through our projects, but also invests in it by supporting local services for over a decade through the RK Foundation: RK Foundation Development: Through RK University, we provide hands-on training and development opportunities that empower employees to advance their careers and grow within the company, to include leadership and technical learning opportunities, we well as our accredited apprentice program: RK University & RK Apprenticeship Program Applications are accepted on an ongoing basis.

Job Description Job Description Position Summary: The Robotic Welding Programmer is responsible for programming, configuring, and optimizing robotic welding systems to produce high-quality welded products safely and efficiently. This role troubleshoots robotic welding systems and works closely with engineering, quality, and production teams to support manufacturing operations. Primary Responsibilities: Program and optimize robotic welding systems for new and existing products. Create, modify, and troubleshoot robot programs using teach pendants and offline programming software where applicable. Develop weld paths, torch angles, travel speeds, and welding parameters to ensure quality and productivity. Set up robotic welding cells for new product launches and engineering changes. Troubleshoot robot programming, welding quality, and equipment issues. Optimize cycle times while maintaining safety and product quality. Perform robot backups, software updates, and program documentation. Collaborate with engineering to design fixtures and improve manufacturability. Support preventive maintenance and equipment calibration activities. Analyze weld quality and implement corrective actions for defects. Train operators and technicians on proper robot operation and basic troubleshooting. Read and interpret engineering drawings, GD&T, weld symbols, and specifications. Support continuous improvement initiatives using Lean manufacturing principles. Ensure compliance with safety standards, company policies, and customer requirements. Perform other duties as required or assigned. Qualifications: High school diploma or GED required; associate degree or technical certification in robotics, welding, manufacturing, or a related field preferred. 3-5 years of robotic welding programming experience in a manufacturing environment. Experience with MIG (GMAW) and/or TIG (GTAW) welding processes. Experience programming one or more robotic platforms. Knowledge of robotic welding power sources. Strong understanding of robotic programming principles and motion optimization. Knowledge of welding metallurgy and welding procedures. Ability to troubleshoot robot hardware, software, sensors, and welding equipment. Ability to interpret blueprints, weld symbols, and geometric dimensioning and tolerancing (GD&T). Experience with offline programming software is preferred. Minimum Physical Requirements and Accountability: Work often involves extended periods of standing, walking, and performing repetitive or physically demanding tasks. Effective verbal communication and hearing are essential for maintaining safety, receiving instructions, and coordinating with team members in person, over radios, or through alarms. Both fine motor skills (e.g., handling small components, precision work) and gross motor skills (e.g., operating tools and heavy equipment) are critical. Visual acuity is required for reading blueprints, measuring materials, performing precision work, and maintaining situational awareness; near, far, and peripheral vision may all be needed. Must be able to work in a variety of environments, including indoor and outdoor settings, as well as dusty, loud, hot, cold, or potentially hazardous areas. Tasks may involve bending, stooping, reaching overhead or below shoulder height, crouching, kneeling, climbing ladders or ramps, and maintaining balance on uneven surfaces. Must be able to work at heights, in confined spaces, or in other challenging physical locations as required by the task. Must be able to lift, carry, push, or pull up to 50 lbs independently. Must comply with all company policies and procedures. Consistent, punctual attendance during core business hours is essential. Reliable transportation is required for commuting and occasional travel between local corporate offices and job sites during business hours. All employees are accountable for safety and health and are empowered to stop work if an unsafe condition is present. Employees should immediately notify their supervisor so that the hazard may be corrected. What Sets RK Industries Apart Safety: Our unmatched culture of safety is our foremost core value, guiding everything we do each day: Health, Safety, & Environmental Awards: Whether in Construction, Manufacturing, Fabrication, or Service, RK Industries is highly recognized and accredited throughout the industry: Accreditations & Recognition Benefits: RK Industries offers competitive benefits to support your growth and well-being: Benefits & Rewards Philanthropy: RK Industries not only builds our community through our projects, but also invests in it by supporting local services for over a decade through the RK Foundation: RK Foundation Development: Through RK University, we provide hands-on training and development opportunities that empower employees to advance their careers and grow within the company, to include leadership and technical learning opportunities, we well as our accredited apprentice program: RK University & RK Apprenticeship Program Applications are accepted on an ongoing basis.

Job Description Job Description Family Advocacy Program Assistant About CICONIX: CICONIX LLC is a Veteran Owned Small Business specializing in business advisory and technical assistance for military health programs. We value exceptional people, unwavering integrity, inclusive collaboration, and enduring impact. . Location(s): Anchorage, Alaska JBER Air Force Base . Position Offers: Full-time/long-term position Regular weekly hours () No calls, nights, weekends, or holidays! Full benefit program, including: health, PTO, and 401k + contribution . Requirements: Associate's Degree High proficiency in Microsoft Office Summary: Join our dynamic team as a Family Advocacy Program Assistant (FAPA)! As a key member, you'll manage government data systems, ensuring accurate maltreatment data entry. Your role extends to providing administrative and computer support for programs like Maltreatment Intervention and New Parent Support. Collaborating with the Family Advocacy Officer, you'll contribute to data management, compile statistics, and assist in research initiatives. If you're passionate about prevention, you'll work closely with the prevention team, offering services, briefings, and educational presentations to diverse audiences. Join us in making a difference in the lives of military families! Apply now for a rewarding career that combines administrative skills with a commitment to family well-being. . About the Role: The FAPA is a member of the multidisciplinary Family Advocacy Program (FAP) team and is responsible for providing administrative, technical, and prevention services. Administratively, the FAPA is responsible for the maintenance of the government's automated data collection systems, including the FAPNet. The FAPA shall ensure that maltreatment data is entered into FAPNet. FAPAs shall not enter clinical data into FAPNet, treatment providers are responsible for entering clinical data. The FAPA shall provide administrative and computer support to The Maltreatment Intervention, New Parent Support Program (NPSP), and Outreach components via FAPNet, and other software programs, as well as managing computer resources. The FAPA, in conjunction with the Family Advocacy Offer (FAO) who leads the FAP team, shall manage data to provide information regarding patient satisfaction, recidivism, and clinical outcome measures. The FAPA shall compile statistical data, prepare minutes, agendas, and notification letters in accordance with FAP Standards, and other written communication as requested by the FAO. The FAPA shall assist in the research and evaluation program by administering data collection assessment instruments to individuals referred to the FAP. The FAPA shall process and score instruments initially and on a follow-up basis as specified by the FAO or Air Force FAP. The FAPA shall assist the FAOM and FAIS in administering, scoring and maintaining secondary prevention program measurement instruments in support of the Outreach Program. The FAPA shall work in collaboration with the prevention team to: Provide supportive services to NPSP clients under the oversight of the NPSP case manager. The FAPA may accompany a Family Advocacy Nurse (FAN), Family Advocacy Treatment Manager (FATM), Family Advocacy Intervention Specialist (FAIS), and Family Advocacy Officer (FAO) to a home visit upon occasion. Assist the FAIS with scheduling and preparation for the Outreach Prevention Management Council (OPMC) and will record and finalize OPMC minutes. Provide prevention services, briefings, educational presentations, and activities targeted to installation leadership, active duty and family members, community, and base agencies. Community prevention activities shall be coordinated with the FAO and the FAIS. In the absence of a Family Advocacy Intervention Specialist (FAIS), the FAPA may provide orientation and annual training to Squadron Commanders and First Sergeants as directed by the FAO. The FAPA shall not provide Special Needs Identification and Assignment Coordination Services (formerly EFMP services), to include administrative support or relocation clearances. When a FAPA has direct contact with Family Advocacy maltreatment clients or clients with open NPSP records, a note will be made in the record within 72 hours of client contact and reviewed by a provider to determine if co-signature is required. FAPAs shall not conduct intake interviews with FAP clients. When a FAPA has contact with NPSP clients, a contact note shall be created in the 'contact notes' section in the NPSP module in FAPNet . Qualifications: Education: Associate degree in Education or Teacher Certification Program, Social Behavior, Human Behavior, or Health Care. Experience: Developing an education curriculum with learning objectives and outcomes are essential. It is critical the FAPA have a high proficiency in Microsoft Office and various database and software programs. Security & Background Check: Ability to obtain and maintain a government security clearance. Additional Requirements: Willingness to comply with the government vaccination requirements, reflected of CDC guidelines, for diseases including Hepatitis B, measles, mumps, rubella, varicella, influenza, and proof of a negative TB skin test. This requirement is for any Family Advocacy Program personnel working with MTFs and requires personnel to receive the annual influenza vaccination. CICONIX LLC is an Equal Opportunity Employer, including disability/vets. We E-Verify all employees.

Job Description Job Description Job Title: Data Center Technician 4 10-hour Shifts - Nights, Specific Days TBD Location: On-Site, Reporting to Ashburn, VA Pay Rate: $60/hr. W2. Benefits available Position Type: Multi-year Contract Description The Data Center Technician will coordinate, monitor, administer, and service technical environments. The role completes implementations, carries out integration activities, and provides operational support for technical environments. A Network Administrator Operator manages and maintains an organization's network infrastructure, ensuring security and performance Experience with routers, switches, and firewalls Strong problem-solving and communication skills Basic Purpose - Network and Server Installations and Maintenance Provide on-site technical support for the client's data center and equipment to ensure continuous availability. Perform troubleshooting, escalations, and resolve incidents and problems when detected. Interface with various support teams and vendors to ensure appropriate resolution during system outages or periods of reduced performance. Able to innovate and make decisions on his/her own but also know how to take direction when it is given, paying attention to all details involved. Responsibilities Network installation & maintenance (rack & stack, cabling, parts replacement, etc.) - Basic/Routine Server installation & maintenance (rack & stack, HDD, memory, CPU, RAID batteries, NICs, etc.) - Basic/Routine Data Center staging, deployment, and logistics/asset management support - Basic/Routine Site builds & refreshes, while meeting current quality standards- Basic/Routine Data Center hardware break/fix/move/add/change ; component replacement, hardware troubleshooting- Basic/Routine Extensive enterprise cable installation experience as well as industry cabling standards- Basic/Routine Ability to provide adequate fiber and copper cable testing with minimal supervision- Basic/Routine Ability to terminate Cat 6 cabling- Basic/Routine Create/update/maintain rack elevations within a DCIM application (Nlyte) -Participates in Maintain inventory control and documentation on systems and components to ensure updates occur according to schedule and procedure -Participates in Troubleshoot and escalate incidents and problems- Basic/Routine Interface with other ISD areas and/or vendors to resolve outages or periods of reduced performance, in accordance with established criteria- Basic/Routine Provide status reports on active or resolved issues -Participates in Maintain, configure, and perform preventative maintenance to various network and data center equipment to ensure efficient operations- Basic/Routine Experience with out-of-band management/KVM system (DSVIEW) - Basic/Routine Experience with power distribution units (PDUs), load management - Basic/Routine Familiar with NEMA and IEC power connectors- Basic/Routine Familiar with Data Center containment solutions- Basic/Routine Work with others to update and document procedures -Participates in Write and maintain detailed site reference documentation -Participates in Cognizant of Data Center Safety Standards - Basic/Routine Lift equipment weighing 50 lbs. - Basic/Routine Perform other tasks or duties as assigned or based on need- Basic/Routine Qualifications - knowledge, skills, and abilities Intermediate Data Center / IT Operations experience Software & Hardware tools utilized to perform day-to-day Data Center functions Knowledge of LAN/WAN topologies, protocols, and standards Must exhibit excellent communication and grammatical skills Demonstrated analytical and problem-solving skills Ability to work in an environment that operates 24/7 with an ability to participate in on-call rotation and provide after-hours support as needed Ability to work independently and as part of a team Ability to work under pressure (urgent problems, deadlines, changing priorities) Familiar with network cabling (types, distance limitations, testing, connectors, handling) Familiar with electrical & optical transceivers (SFP+, QSFP+, GLCT, DAC, CFP2, DWDM) Familiar with server hardware and components Familiar with electrical standards, connector types, power budget calculations, AC vs. DC, single-phase vs. three-phase, etc. Familiar with datacenter design in relation to heat dissipation and airflow Meticulous and obsessive about organized cabling Detail-oriented and organized Desired Bachelor's degree in Information Technology or the equivalent combination of training, education, and experience Experience and technical training in WAN/LAN communications including experience installing, basic configuring, and maintaining Cisco routers and switches Experience in presenting technical solutions and/or recommendations Knowledge of electronic principles as they relate to diagnosing and troubleshooting IT system issues Knowledge of technical inter-relationships between software/hardware and desktop/LAN/Host systems Advanced skill in diagnosing and troubleshooting issues Advanced research, analytical, and problem-solving skills Knowledge of client operations System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description SYSTEMS SPECIALIST This position can be based out of our Plymouth, MN; Clinton, MD; Fenton, MO; or Allentown, PA offices. About the company Archkey is one of the nation's largest privately held specialty trade installation and integrated facility service companies. We are a leader in designing, building and maintaining electrical, technologies and specialty systems. We're the POWER behind making the improbable possible. We're electrifying the nation, energizing the future and bringing communities to life like never before. What we do today shapes the vision of tomorrow. Our work impacts lives long after the building is done. This means we are committed to building in ways that are not just technologically advanced, but sustainable, scalable and equitable by all. We're not just energizing infrastructure, we're energizing careers, communities, and the future. Made up of the brightest minds in the industry, our team is our greatest asset bringing knowledge, skills, and experience to every project. This is more than a call to join us, it's an invitation to be part of a visionary journey, to grow with us as we scale About the position Responsible for performing systems design, pre-planning, programming, commissioning, and training. This position provides technical support, research and development and other activities related to problem-resolution and client satisfaction of systems, in alignment with all Company policies, procedures, key objectives and regulations. Our Ideal Candidate Has experience with audio-visual, access control, programming, and/or security systems. Can work autonomously and creatively solve problems. Understands computing concepts, physical security systems software, storage, SQL databases, and physical security system components. Day in the life Designs audio visual, wireless and/or security systems to meet customer needs according to best industry practices and Company guidelines while complying with all applicable building codes and legal requirements. Collaborates with other systems specialists during the installation of integrated systems. Determines material quantities in the amounts needed to complete projects according to bid specifications. Develops and creates systems documentation, including pre-sale system drawings, system installation drawings and other system documentation. Plans, coordinates, and performs programming of systems and other integrated components to meet customer and system operational needs. Ensures all assigned systems are being installed, programmed, tested, and commissioned according to current industry and company standards. Creates systems testing and commissioning reports. Thoroughly tests and commissions system components to ensure optimal system performance. Performs change orders and system-related measures following Company standards and industry best practices. Provides frequent communication, troubleshooting and problem-resolution consulting with systems issues. Provides remote assistance to customers as required. Accurately and confidentially maintains Company records and other sensitive business and customer data. Utilizes LEAN concepts or other continuous improvement methodologies to ensure the most efficient operations, processes, and activities. Minimum Qualifications Associate degree or equivalent work experience in information technology, computer science, or a related field. Bachelor's degree preferred. CCNA or CompTIA Network+ certification and/or BICSI certification preferred. Minimum 3 years of experience with the design and implementation of installed systems, including programming, scheduling, and commissioning experience. Experience with and strong understanding of data networking. Manufacturer platform certification(s) or programming and design experience for Avigilon Control Center, Lenel OnGuard, Genetec Security Center, Milestone Xprotect Corporate, Enterprise or S2 Security. Knowledge and skills to review software and firmware, perform level normalizations, verify electronic devices and loudspeaker operational performance, and recommend system updates when needed. In-depth experience with LEAN methodologies and applications. Strong process orientation. Strong organizational, critical thinking skills and detail orientation. Solid financial, analytical, and mathematical skills. Professional and effective independent problem solving, time management and prioritization skills. Ability to perform job duties, manage workflow and meet deadlines in a fast-paced environment with multiple and sometimes changing priorities independently and effectively. Travel Occasional travel may be required. Salary Range $80,300-$96,400 annually, based on experiences and qualifications. Benefits At ArchKey Solutions, our benefits package includes competitive health insurance options (medical, dental, and vision), a robust 401(k) retirement savings plan with employer match, paid time off and holidays, and access to wellness programs. Additionally, we offer professional development opportunities, tuition reimbursement, and employee assistance programs to support your growth and well-being. We ensure that our benefits are designed to promote the health, security, and work-life balance of our employees. Additional information is available at Legal & Fraud Disclaimer 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. We are an Affirmative Action, Equal Opportunity Employer. . Beware of fraudulent job postings. ArchKey Solutions only communicates through official channels. All official communication will come from email address and we will never ask for financial information, payments, or personal details outside of the standard hiring process. To confirm the legitimacy of a job, visit our careers page or reach out to a member of our Talent Acquisition team.

Job Description Job Description Regional Assistant Chief Engineer - North America Millennium Hotels & Resorts - Corporate Reports To: Regional Director of Engineering - North America Location: Chicago or Denver Regional Travel Required Employment Type: Full-time Salary Range: $120,000 - $130,000 Join the Team at Millennium Hotels & Resorts At Millennium Hotels & Resorts, we are driven by a commitment to excellence, innovation, and delivering exceptional hospitality experiences across a global portfolio. Our corporate teams play a critical role in supporting our properties, driving strategy, and enabling operational success. About Corporate Operations Our corporate office serves as the strategic and operational hub for Millennium Hotels & Resorts, supporting the hotels across multiple regions and brands. From finance and human resources to operations, marketing, and development, our teams work collaboratively to drive performance, enhance guest experiences, and support our employees across the portfolio. This environment is fast-paced, collaborative, and focused on delivering results while maintaining the highest standards of professionalism and service. As part of Millennium Hotels & Resorts, a global hospitality leader with over 145 hotels across key destinations worldwide, our hotels are backed by a legacy of quality, consistency, and service excellence. At Millennium, we are guided by our core values: Passion for Hospitality - Delivering meaningful and memorable guest experiences Entrepreneurial Spirit - Taking ownership and acting with agility Innovation - Continuously improving how we operate and serve Progressive & Solutions-Oriented - Staying adaptable and focused on results About the Role: Regional Assistant Chief Engineer - North America As the Regional Assistant Chief Engineer - North America, you will support the Regional Director of Engineering in providing technical leadership and operational oversight across Millennium Hotels & Resorts' North American portfolio. This role serves as a key resource to hotel Chief Engineers, General Managers, and regional leadership, helping ensure that our hotels maintain safe, efficient, reliable, and well-maintained facilities while meeting Millennium standards and applicable regulatory requirements. You will contribute to regional engineering strategy, asset management, preventive maintenance, capital planning, energy management, sustainability initiatives, and technical problem-solving. This is an influential role requiring strong technical expertise, business acumen, communication skills, and the ability to drive results across multiple hotels and teams. The ideal candidate is a hands-on engineering leader who combines strong technical knowledge with a strategic mindset and a passion for developing people, protecting hotel assets, improving operational performance, and delivering sustainable results. Your Impact You will help strengthen engineering performance across the region by providing technical guidance, developing engineering talent, identifying opportunities for improvement, and supporting consistent standards across the portfolio. You will serve as a trusted technical resource and escalation point for complex engineering, facilities, life-safety, compliance, and building systems matters while partnering closely with hotel and corporate leadership. Your leadership will help ensure our hotels are safe, efficient, operationally sound, and positioned for long-term success. What You'll Be Doing Regional Engineering Leadership Support the Regional Director of Engineering in providing technical leadership and oversight to Chief Engineers and engineering teams across the North American portfolio. Serve as a technical resource, advisor, and escalation point for complex engineering and facilities issues. Promote consistency in engineering practices, preventive maintenance, asset management, and operational standards across hotels. Support regional engineering initiatives and contribute to the development and implementation of best practices. Provide coverage and leadership support for the Regional Director of Engineering as needed. Asset Management & Engineering Operations Monitor the condition, reliability, and performance of hotel buildings, equipment, and critical infrastructure. Conduct and participate in property visits, engineering audits, technical assessments, and facility condition reviews. Identify operational risks, deferred maintenance, and opportunities to improve asset performance. Review property engineering performance and develop recommendations and corrective action plans. Support hotel engineering leaders in establishing effective preventive and predictive maintenance programs. Promote consistent use of CMMS, work-order management, maintenance tracking, and reporting systems. Capital Projects & Financial Management Assist with the development, review, prioritization, and execution of annual capital expenditure plans. Support major renovations, equipment replacements, building-system upgrades, and other capital projects. Partner with Operations, Design & Construction, Procurement, and hotel leadership to support effective project planning and execution. Review project scopes, technical specifications, budgets, and timelines. Help ensure capital investments are aligned with operational priorities, asset needs, guest experience, and long-term value. Support engineering leaders in managing departmental budgets and controlling maintenance and utility costs. Energy, Sustainability & Continuous Improvement Champion energy management, sustainability, and utility-cost reduction initiatives across the portfolio. Analyze energy and utility consumption and identify opportunities for improved efficiency. Support implementation of sustainability programs and engineering best practices aligned with Millennium's corporate goals. Identify opportunities to leverage technology, automation, and innovative engineering solutions to improve efficiency and reduce operating costs. Promote a culture of continuous improvement and solutions-oriented problem solving. Safety, Compliance & Risk Management Monitor compliance with company standards, applicable building codes, fire and life-safety requirements, environmental regulations, and other applicable laws and regulations. Support hotel engineering teams in maintaining safe operating environments for guests and employees. Assist with technical reviews related to fire/life-safety systems, emergency systems, building infrastructure, and critical equipment. Identify potential operational and safety risks and recommend appropriate corrective actions. Promote a strong culture of safety, accountability, documentation, and regulatory compliance. People Leadership & Development Support the recruitment, onboarding, training, coaching, and development of Chief Engineers and key engineering personnel. Partner with hotel leadership to strengthen engineering talent and succession planning. Provide technical guidance and mentorship to engineering leaders. Share knowledge, best practices, and innovative solutions across the regional engineering community. Foster a culture of accountability, collaboration, continuous learning, and professional growth. Collaboration & Stakeholder Management Build strong working relationships with General Managers, hotel leadership, ownership representatives, corporate departments, vendors, contractors, and service providers. Partner with regional Operations, Design & Construction, Procurement, Finance, and other corporate functions on engineering-related initiatives. Communicate technical information and recommendations effectively to both technical and non-technical stakeholders. Represent the Engineering function with professionalism and a solutions-oriented approach. Requirements Qualifications & Experience Extensive progressive experience in hotel engineering, facilities management, building operations, or a related field. Significant experience supporting multiple hotels, a regional portfolio, or a corporate engineering function preferred. Strong technical knowledge of hotel building systems, including: HVAC and mechanical systems Electrical systems Plumbing Fire and life-safety systems Building automation and controls Vertical transportation systems Building infrastructure and related hotel systems Demonstrated experience with capital projects, maintenance programs, budgets, and asset management. Working knowledge of applicable North American building, safety, fire, environmental, and energy codes and regulations. Experience with CMMS/work-order systems and energy-management platforms. Strong analytical, organizational, communication, and stakeholder-management skills. Demonstrated ability to influence and lead without direct authority. Proficiency with Microsoft Office and/or Google Workspace. Ability and willingness to travel extensively across the North American portfolio, typically 40-60%. . click apply for full job details

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Software Packaging Engineer 6 month+ Contract Hybrid, 3 days/week onsite in Vienna, VA W2 Hourly Rate: $60/hr. range Description We are seeking an experienced Software Packaging Engineer contractor to support our client's EUC Software Delivery Enhancements Project, a strategic initiative focused on modernizing software packaging and application delivery across the enterprise. The primary objective of this role is to assess, package, test, and deploy our existing portfolio of enterprise applications using Liquidware FlexApp application layering technology. The engineer will work closely with End User Computing (EUC), Engineering, Infrastructure, Security, and Business stakeholders to transform traditionally installed applications into virtualized FlexApp packages that improve application delivery, reduce operational complexity, and support both Virtual Desktop Infrastructure (VDI) and physical Windows environments. This position requires extensive experience in software packaging, application deployment, troubleshooting, and lifecycle management, with a strong preference for candidates who have experience with Liquidware FlexApp application layering. Responsibilities Software Packaging & FlexApp Migration Application Testing & Validation Software Deployment & Administration Engineering & Operational Support Required Qualifications 3+ years of Software Packaging Engineering experience Experience packaging enterprise software in Windows environments Strong knowledge of MSI packaging, application repackaging, and deployment technologies Experience with Microsoft Endpoint Configuration Manager (MECM) Proficiency with PowerShell scripting and application automation Experience troubleshooting application installation and compatibility issues Familiarity with application lifecycle management and software delivery processes Strong analytical and problem-solving skills Excellent communication and technical documentation skills Ability to work independently and collaboratively across multiple technical teams Preferred Qualifications Experience creating and managing FlexApp virtualized apps and packaging workflows Experience supporting Virtual Desktop Infrastructure (VDI) environments Experience with application virtualization and layering technologies Experience with InstallShield or similar packaging tools Familiarity with profile management and user environment management solutions Experience with Splunk, UberAgent, or endpoint monitoring tools Experience with software delivery modernization initiatives System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Network Security Systems Manager - Q Clearance Required Summary: We are seeking an experienced Network Security Systems Manager to lead the administration, security, and operations of network security systems supporting LAN/WAN environments. The ideal candidate will have extensive experience managing enterprise network security infrastructure, leading technical security teams, and implementing security policies, controls, and best practices. This role requires strong technical judgment, leadership skills, and the ability to plan, prioritize, and execute network security initiatives in a complex government environment. Location: Washington, DC or Gaithersburg, MD Salary: Up to $178,000 Clearance: Active Q Clearance Required Education: Bachelor's degree from an accredited university or college in Information Technology with an emphasis in Cybersecurity or Information Assurance, Computer Science, or a related field. Required Certifications: One or more of the following certifications or equivalent: GIAC Information Security Professional (GISP) ISC2 Certified Information Systems Security Professional (CISSP) GIAC Security Essentials (GSEC) Experience: Minimum of five (5) years of experience managing network security systems in LAN/WAN environments. Experience leading network security administration staff and technical teams. Experience managing enterprise network security infrastructure, systems, and technologies. Broad knowledge of network security concepts, practices, principles, and procedures. Experience planning, implementing, and maintaining network security solutions. Experience identifying and addressing network security risks, vulnerabilities, and operational issues. Ability to apply extensive technical experience and sound judgment to plan and accomplish organizational goals. Experience developing and implementing security policies, procedures, standards, and controls. Strong understanding of network security architecture, access controls, firewalls, intrusion detection/prevention, VPNs, and secure network communications. Experience supporting security monitoring, incident response, vulnerability management, and network security assessments. Ability to lead technical teams, prioritize workload, manage competing requirements, and communicate effectively with technical and management stakeholders. Preferred Certifications: Certified Information Security Manager (CISM) ISC2 Certified Cloud Security Professional (CCSP) GIAC Network Forensic Analyst (GNFA) GIAC Certified Intrusion Analyst (GCIA) GIAC Certified Incident Handler (GCIH) GIAC Certified Firewall Analyst (GCFW) Cisco Certified Network Professional - Security (CCNP Security) Fortinet Certified Professional or equivalent Fortinet certification Palo Alto Networks Certified Network Security Engineer (PCNSE) or equivalent CompTIA Security+ CompTIA CySA+ ISACA Certified in Risk and Information Systems Control (CRISC) Certified Ethical Hacker (CEH) Juniper Networks security certification or equivalent ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security and IT Managed Services. With 24+ years of stellar past performance, ActioNet is the premier Trusted Innogrator! Why ActioNet? At ActioNet, our Passion for Quality is at the heart of everything we do: We are committed to make ActioNet a great place to work and continue to invest in our ActioNeters We are committed to our customers by driving and sustaining Service Delivery Excellence We are committed to give back to our Community, help others and make the world a better place for our next generation ActioNet is proud to be named as a Top Workplace for the ninth year in a row (2014 - 2022). We have 98% of Customer retention rate. We are passionate about the inspirational missions of our customers and we entrust our employees and teams to deliver exceptional performance to enable the safety, security, health and well-being of our nation. What's in It For You? As an ActioNeter, you get to be part of exceptional team and a corporate culture that nurtures mutual success for our customers, employees and our communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy and a desire to develop your skills, experience and career. Are you ready to make a difference? ActioNet is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Direct Applicants, only. No Agencies, No third-party recruiters, please

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.

Job Description Job Description Job Title: AV Technician Location: Washington, DC Type: Contract Compensation: $36.80 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Ability to obtain and maintain SEC Public Trust (or higher if required) Responsibilities Proactively inspect, configure, and maintain AV/VTC equipment in meeting rooms, auditoriums, and multipurpose rooms. Manage deployment, setup, and relocation of AV/VTC components to support operational and event requirements. Troubleshoot front-end AV/VTC hardware and software issues and restore services with minimal disruption. Perform routine readiness checks to ensure monitors, microphones, conference phones, and related room systems remain fully operational. Provide user-facing support for collaboration tools, including Webex and Microsoft Teams. Field and resolve user questions on AV/VTC usage, meeting startup, content sharing, and audio/video performance. Support conference and hybrid meeting connectivity and coordinate escalations for unresolved issues. Communicate service updates and usage guidance to end users to improve collaboration outcomes. Support production of live events, including town halls, commission meetings, and other high-visibility sessions. Execute live video/audio support activities and assist with webcast or streaming operations. Coordinate with internal stakeholders and third-party providers for services such as captioning and interpretation support. Perform post-production editing for recorded events and deliver high-quality final media outputs. Conduct training sessions on selection, use, and design of audiovisual materials and presentation equipment. Develop manuals, workbooks, and user-facing reference materials to support AV/VTC operations. Create practical job aids for common room technologies and collaboration workflows. Capture recurring issues and recommend process improvements to strengthen AV/VTC service delivery. Requirements Minimum of 5 years of experience providing front-end AV/VTC support in enterprise or government environments. Hands-on experience managing, deploying, and troubleshooting AV/VTC equipment. Demonstrated skills and knowledge to operate AV/VTC systems, including live broadcasts and post-production editing. Education: Bachelor's degree in a relevant field (e.g., Information Technology, Computer Science, Engineering). Technical Skills: AV/VTC system operation and troubleshooting across conference rooms, auditoriums, and multipurpose spaces. Webex and Microsoft Teams support for meetings and collaboration. Live broadcast, streaming/webcast support, and post-production video editing. End-user training delivery and development of manuals, texts, and workbooks. Preventive AV equipment management, issue triage, and service restoration. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Job Title: ServiceNow Consultant Location: Leesburg, VA Type: Contract Compensation: 70-90/hr W2 Contractor Work Model: Hybrid Hours: 40.0 Responsibilities Develop, configure, and maintain ServiceNow applications with emphasis on Service Catalogs and Request Workflows within ITSM and HRSD modules. Write and maintain clean, efficient scripts using JavaScript, Flow Designer, and Business Rules. Collaborate with cross-functional teams to gather and translate requirements into robust ServiceNow solutions. Stay current on ServiceNow platform upgrades, new features, and best practices. Provide technical support and training to platform users as needed. Implement and troubleshoot Access Control Rules (ACLs) to support secure, role-based access. Configure and support ServiceNow Discovery to automate asset and service mapping. Requirements 3-5 years of ServiceNow development experience, including system configuration and scripting. Active Certified System Administrator (CSA) and Certified Application Developer (CAD) certifications. Demonstrated experience configuring and delivering Service Catalog items, including complex workflows. Proficiency in ITSM and HRSD modules. Strong knowledge of ACLs, form-level and field-level security. Hands-on experience with Discovery configuration and troubleshooting. Familiarity with integrations using REST, SOAP, and MID servers. Excellent problem-solving, communication, and documentation skills. Resides in the DC, Maryland, or Virginia area (preferred). Experience in agile development environments (preferred). Experience with other ServiceNow modules such as SPM, ITOM, PSDS, HAM, or SAM (preferred). Experience connecting separate ServiceNow instances (eBonding) (preferred). System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: (ALTA IT)