Operations Engineer jobs at United

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they're well taken care of and ready to get our customers to their desired destinations. If you're ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities Senior Line Engineers are part of a service engineering team that provide 24/7 engineering technical support for United Airlines Worldwide fleet of operational aircraft to ensure the timely return to service. Provide engineering support for a wide range of aircraft systems, maintenance programs, engines as well as operational engineering functions. Studies, analyzes, and seeks solutions to problems related to the design, operation, maintenance, performance, modification, or repair of aircraft, and their components. Uses a structured, logical, and analytical approach in problem solving. Defines maintenance program, configuration, and serviceability criteria ensuring safe and legal operations. Analyzes and implements regulatory requirements. Evaluates the effects of modifications or new equipment on reliability and performance. Evaluates the benefits of the cost impact of a fleet decision to ensure an optimum balance of cost, asset utilization, quality, and reliability. Authors, designs, tests, and manages projects. Communicates with customers on technical issues, work scope recommendations, and failure investigations. Interfaces with internal and external organizations regarding specific aircraft and component issues. This position leads and develops potentially complex solutions and implementation plans, project justification, cost/benefit analysis, management of project implementation, technical support, and obtaining FAA approvals as required. Coordinate work with other operational groups to ensure airworthiness, safety, regulatory compliance, operational reliability, and operational efficiency. Organize and manage the priorities for assigned responsibilities and accomplish the work processes to meet all the deliverables for operational needs, projects, and program changes/technical specification revisions. Shifts are dependent on work location and assignment and will be designated during the interview process as required. It is important to note that shifts may change based on the needs of the operation. Work Schedule: 7.00pm PST- 6.30am PST Qualifications What's needed to succeed (Minimum Qualifications): Bachelor's degree or related experience in Engineering (Mechanical, Electrical, Aerospace), related technical field or equivalent relative work experience Senior Line Engineer I: 5-8 years Senior Line Engineer II: 8 years + Ability to interpret complex and technical Engineering and OEM documents. Highly detailed level project development and management for regulatory compliance modifications, and overall ownership of specific systems Must have the ability to communicate detailed, technical information under time-bound and stressful situations. Successful candidate will have working knowledge of airline or OEM operations. Knowledge of Code of Regulations (CFRs), airworthiness design and substantiation criteria, aircraft and equipment design and operational characteristics Must be available to work any shift including nights and weekends as well as holidays. Must be legally authorized to work in the United States for any employer without sponsorship. Successful completion of interview required to meet job qualification. Reliable, punctual attendance is an essential function of the position. What will help you propel from the pack (Preferred Qualifications): OEM Structural Repairs for Engineers Training (Boeing/Airbus) with portfolio of designing major repairs for aircraft structures; metallic or composite Work within specific ATA Airline Chapters Airline or Industry experience with general ATA Chapters which could encompass, aircraft systems, structures, power plant and avionics disciplines Excellent communication and technical writing ability Knowledge of FARS (specifically parts 21, 25, 26, 43, 121, & 145) CATIA/AUTOCAD experience The base pay range for this role is $97,945.00 to $133,540.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact ...@united.com to request accommodation.

It's fun to work in a company where people truly believe in what they're doing! At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications. Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance. Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers. Work, Play and Grow at BlackLine! The Principal AI/ML Operations Engineer leads the architecture, automation, and operationalization of both machine learning and AI systems at scale. This role defines the strategy and technical standards for ML-Ops and AIOps across the organization, ensuring models and agents are evaluated, deployed, governed, and monitored with reliability, efficiency, and compliance. The candidate will collaborate across AI, data, and product engineering teams to drive best practices for serving, observability, automated retraining, evaluation flywheels, and operational guardrails for AI systems in production You'll Get To: Leadership and Strategy Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems. Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs). Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments. Lead incident response and reliability strategies for ML/AI systems. AI System Deployment and Integration: Lead the deployment of AI models and systems in various environments. Collaborate with development teams to integrate AI solutions into existing workflows and applications. Ensure seamless integration with different platforms and technologies. Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance. Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows. Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics. Implement logging, metering, and auditing for agent behavior, function calls, and compliance alignment. Create scalable observability systems-tracking conversation outcomes, factual accuracy, latency, escalation patterns, and safety events. Architect end-to-end guardrails for AI agents including prompt injection protection, identity-aware routing, and tool usage authorization. Collaborate cross-functionally to standardize authentication, authorization, and session governance for multi-agent runtimes. Model Deployment and Integration: Architect and standardize model registries and feature stores to support version tracking, lineage, and reproducibility across environments. Lead the deployment of machine learning models into production environments, ensuring scalability, reliability, and efficiency. Collaborate with software engineers to integrate machine learning models into existing applications and systems. Implement and maintain APIs for model inference. Infrastructure and Environment Management: Design and manage training infrastructure including distributed training orchestration, GPU/TPU resource allocation, and automatic scaling. Implement CI/CD for model workflows using pipelines integrated with model validation, bias checks, and rollback automation. Build standardized experimentation frameworks for reproducible training, tuning, and deployment cycles (MLflow, W&B, Kubeflow). Manage and optimize the infrastructure required for machine learning operations in cloud. Work closely with other teams to ensure the availability, security, and performance of machine learning systems. Monitoring and Maintenance: Implement robust monitoring solutions for deployed machine learning models to detect issues and ensure performance. Collaborate with data scientists and engineers to address and resolve model performance and data quality issues. Conduct regular system maintenance, updates, and optimizations to ensure optimal performance of machine learning solutions. Automation and Orchestration: Develop and maintain automation scripts and tools for managing machine learning workflows. Implement orchestration systems to streamline the end-to-end machine learning lifecycle, from data preparation to model deployment. Collaboration with Data Science Teams: Collaborate with data scientists to understand model requirements and constraints for deployment. Facilitate the transition of machine learning models from research to production, ensuring scalability and efficiency. Performance Optimization: Identify and implement optimizations to enhance the performance and efficiency of machine learning models in production. Conduct performance analysis and implement improvements based on resource utilization of metrics. Security and Compliance: Implement security measures to protect machine learning systems and data. Ensure compliance with regulatory requirements and industry standards related to machine learning and data privacy. Integrate audit controls, metadata storage, and lineage tracking across ML and AI workflows. Ensure complete monitoring and feedback loops including event logs, evaluations, and automated retraining triggers. Enforce secure deployment patterns with Infrastructure-as-Code and cloud-native secrets management. Define SLAs, error budgets, and compliance reporting mechanisms for ML and AI systems. What You'll Bring: Education and Experience: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. 10+ years in ML infrastructure, DevOps, and software system architecture; 4+ years in leading MLOps or AI Ops platforms. Technical Skills: Strong programming skills in languages such as Python, Java, or Scala. Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow). Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure). Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management. Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation. Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking. Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads. Proficiency in containerization technologies (e.g., Docker, Kubernetes). Operations and Infrastructure: Proficient in scripting languages (e.g., Bash, python) for automation. Experience with workflow orchestration tools (e.g., Apache Airflow). Expertise in managing and optimizing cloud-based infrastructure. Familiarity with DevOps practices and tools for automated deployment. Understanding of network configurations and security protocols. Problem-solving and Critical Thinking: Ability to define problems, collect and analyze data, and propose innovative solutions. Strong critical thinking skills to evaluate models, identify limitations, and Adaptability and Learning Agility: Comfortable working in a fast-paced, rapidly evolving environment. Proactive in staying up to date with the latest trends, techniques, and technologies in AI/data science Thrive at BlackLine Because You Are Joining: A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation! A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives. A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity. BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws. BlackLine recognizes that the ways we work and the workplace itself have shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 2 days a week.

Title: Operations Engineer Duration: Full - Time In this role, you'll help maintain the reliability of automated processes used across multiple financial institutions. You will monitor scheduled workflows, identify and troubleshoot processing errors, review system activity, and coordinate with clients when issues arise. This is a hands-on operational role requiring strong analytical skills, exceptional attention to detail, and the ability to communicate clearly with both internal teams and external stakeholders. You'll work in a technology-driven environment supporting a large client base, ensuring smooth daily operations across essential systems. ✅ Must-Have Skills These are essential for success in this role: Background in banking, financial services, or similar monitored environments Exceptional attention to detail and critical thinking ability Strong customer service skills and comfort interacting with clients High level of technical proficiency and comfort navigating software systems Basic knowledge of databases, queries, reporting, and system monitoring tools Proficiency with Microsoft Office (Outlook, Word, Excel, PowerPoint) 🌟 Preferred Skills Degree or coursework in Computer Science Experience with Linux, AIX, or enterprise-level systems Familiarity with automated job scheduling or workflow tools 2+ years of experience in a technical support or operations role 🔧 Key Responsibilities Monitor ongoing processing tasks to ensure they complete successfully Investigate exceptions, failures, or irregular system behavior Review logs, validate file transfers, verify job activity, and identify root causes Refresh data, run tests, and perform basic system maintenance tasks Coordinate with clients when issues need clarification or action Escalate complex incidents to senior engineers as necessary Support a high-volume client environment Participate in after-hours support when required Perform general operational tasks as assigned 🚫 Who Should NOT Apply This role is likely not a good fit if you: Do not have experience in banking or financial services Are unable to handle late-evening or overnight shifts Prefer work that does not require high accuracy or attention to detail Are uncomfortable troubleshooting technical or operational issues Cannot attend brief onsite training in Phoenix

Fully Remote $75-80/hr. W2 with benefits Machine Learning/AI Engineer T-shaped skill - Will be working with Python, FastAPI's, and Data Pipelines This position requires a knowledge/familiarity with Accounting/Finance areas due to the areas you would be working with (GL, AP, P&L, Accruel, etc) The company is focused on Data and AI. Using Machine Learning and operational research to create an application to help several verticals with: Massive scale data migrations, conversions, enrichment & curation Surface workflows delivering equipment lifecycle optimization Geospatial, IOT platforms embedding spatial analytics Creation and integration of ML & OR models across different domains They have over 250 years of experience on the team now between 17 people. Have IntelliJ, AWS, Google AWS partner, Microsoft supplier and IBM business partner Why work here? Everything is new development Teaming first - Agile 2 weeks sprints, full transparency front end to end. You bring value to the table and have your own identity with the customer, no overhead. They are just a development org. You present directly to the customer and can show them the value you are providing. You have full autonomy to operate. Run your own sprints, present their work, demos with client. No layers. Weekly sessions doing demos for people to learn and catch up Rock solid team, everyone is qualified and and has strong skills They will learn a lot and it will be an ecosystem of capabilities, skill sets and they can share knowledge with each other. Communicate openly and honesty Inclusion in all conversations. No difference for contractors.

Immediate need for a talented Machine Learning Engineer. This is a 06+months contract opportunity with long-term potential and is located in Columbus OH, (Remote). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-92801 Pay Range: $76 - $78/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; ML Development, Python & CI/CD Programming Languages: Proficiency in Python for ML development and integration. ML Frameworks and Libraries: Experience with ML frameworks like , PyTorch, Familiarity with libraries for NLP Cloud Platforms: Hands-on experience with cloud platforms - AWS, Azure for deploying ML models and pipelines. DevOps and MLOps: Knowledge of CI/CD pipelines for deploying ML models in production. Prompt Engineering Retrieval Augmented Generation Our client is a leading Insurance Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Must have either their EIT or their PE in TX Fully on-site Required Skills and Knowledge B.S. degree in Electrical Engineering or related field Successful completion of the Fundamentals of Engineering (F.E.) examination Certified by the State of Texas as an Engineer-in-Training (EIT) Exceptional attention to detail Ability to manage multiple projects under strict deadlines Ability to work well on a team Exceptional written and verbal skills Preferred Skills and Knowledge Knowledge of and experience with AutoCAD, Revit, Bluebeam, and Microsoft Office Suite Knowledge of building codes Previous experience in a MEP consulting environment Previous experience designing MEP systems for schools Experience in the design of lighting and lighting controls, fire alarms, power and power distribution, technology systems, as well as other standard electrical systems for commercial

MANTECH seeks a motivated, career and customer oriented Cloud Operations Engineer to join our team in Virginia Beach, VA. This is a hybrid position with 1-2 days onsite and 2-3 days remote. As an Operations Engineer, you will have the opportunity to grow your knowledge and skills as a member of the Cloud Operations Team for a NAVSEA cloud infrastructure program. The Cloud Ops team includes technical, security and programmatic related requirements as well as providing ongoing support to the engineering and cyber teams. You will collaborate with a skilled team of peers in support of the cloud operations of the platform. This position offers a great opportunity for growth and experience in cloud engineering, cloud security, cyber and service management. Responsibilities include but are not limited to: Maintain and troubleshoot AWS and Azure compute assets, including Red Hat Enterprise Linux and Windows Server instances Monitor systems and support cyber defense activities, identifying and responding to security threats and incidents Assist with disaster recovery planning, training, and exercises to ensure system resilience Provide platform help desk support, managing open issues, new requests, and operational requirements under the Operations Lead's direction Develop and maintain program documentation and Standard Operating Procedures (SOPs) within the online knowledgebase Propose and help implement new tools and techniques to improve cloud operations and efficiency Support the evaluation of emerging DoD, DoN, and commercial technologies for potential integration into program environments Travel up to 25% Minimum Qualifications: Associate's degree in Computer Science, Information Technology, Engineering, or related technical area 2+ years of relevant experience, including at least 1 year in engineering, cybersecurity, or operations, and 1 year working with cloud systems deployed at multiple Impact Levels (IL2, IL4, IL6) within DoD-approved Cloud Service Providers such as AWS or Azure An active CompTIA Security+ certification or a higher-level DoD-approved security certification is required Must obtain the AWS Certified Cloud Practitioner certification or any AWS Associate- or Professional-level certification within 3 months of hire Preferred Qualifications: Bachelor's degree 2+ years cloud experience in engineering or operations Familiarity with Infrastructure as Code (IaC) based architecture Familiarity with Git, GitHub, and Markdown AWS Certified Cloud Practitioner and/or any AWS associate or professional level certification Clearance Requirements: Must have an active Secret security clearance. Physical Requirements: Prolonged periods of sitting or remaining in a stationary position. Ability to move throughout the office and operate standard office equipment as needed. Regularly required to communicate with coworkers, management, and customers, including delivering presentations and sharing information accurately and clearly. Must be able to interact and communicate professionally with ManTech employees, clients, and stakeholders.

Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: · Design, develop, deploy GenAI applications using LM's, agent framework and related technologies · Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions · Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) · Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research · Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones · Troubleshoot and resolve complex technical issues related to applications?and models · Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk · Resolve coding, testing and escalated platform issues of a technically challenging nature · Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives · Collaborate and influence all levels of professionals including managers Required Qualifications: · 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education · 4+ years of experience in software development · 4+ years of Java, Python and other relevant technologies · 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: · 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering · Knowledge agentic design patterns · Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting

Dear All, Vertex Elite is currently seeking a qualified HL7 Integration Engineer/Developer with Epic Bridges Certification to join our team. If you or someone you know is interested, please feel free to reach out for more details or share your updated resume. Work Authorization : USC or Any valid USA work authorization Job Type : Contract Location : 100% Remote Required Skills and Qualifications Active Epic Bridges Certification (must-have). Strong experience in HL7 interface development, integration, and troubleshooting. Strong proficiency with Intersystems HealthConnect including productions, business services, business processes, and transformations Experience supporting clinical applications and provider workflows within healthcare systems Exposure to Cloverleaf interface engine and TCL scripting for interface development (good to have, not mandatory) With Best Regards, Rama Raju | Vertex Elite LLC | E-Verified Company | ********************

Serve as a member of the factory software machine learning and computer vision team. Design, develop and implement critical machine learning models that operate on our factory and warehouse environments. Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc. Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations. Will take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur. Must be able to clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data. Minimum Requirements: In-depth knowledge of Python for high-performance data-intensive applications. Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.) Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research. Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance. Real-world experience deploying and maintaining production machine learning use-cases. Passion for clean code and sustainable modular code for taking research ideas into production.

Immediate need for a talented PCB Design Engineer. This is a 11+ months contract opportunity with long-term potential and is located in Cincinnati, OH(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-94418 Pay Range: $55 - $58/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; PCB, Design Validation, Embedded Systems Development and qualification of electromechanical components such as Switch assemblies, cable assemblies, PCBAs. Understand Measurement Systems analysis and understanding of establishing calibration requirements. Work with suppliers to meet established cost, quality, and performance requirements. Work with suppliers on component qualification activities and monitor the execution. Understand and conduct Design of Experiments, Process Stability / Control / Capability methods, etc. for process characterizations/mfg./equipment development Effective communication with suppliers on design requirements and process capability needs Position may require up to 30% travel both domestic and international. Board Bring-up Design review, DFMEA, DFM & Board Revision Low-level Embedded drivers development for on-board peripherals & Motor control Schematics & BOM updates for PCBAs Write Module test plan and execution Writing Engineering Studies for board level & device level testing Design Transfer Test Engineering scope: Writing Test Specs for ICT/ FCT Liaison technical discussions between supplier & design team and resolve stumbling blocks Design review of Hardware & fixture for Functional Testers ICT/ FCT Qualification and deployment on plant Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Programmers.io is currently looking for a Product Engineer Onsite Role in McLean, Virginia, United States OPEN FOR C2C OR W2 Prompt Design Optimization Develop, test, and refine prompts for AI models to achieve accurate, context-aware outputs. Create reusable prompt libraries and guardrails for enterprise use cases. Salesforce AI Integration Leverage Salesforce Einstein and Agent force for predictive analytics, conversational AI, and automation. Collaborate with Salesforce architects to embed AI-driven workflows into CRM processes.AI Enablement Governance Define best practices for prompt engineering across teams. Ensure compliance with enterprise security, data privacy, and ethical AI guidelines. Managerial Responsibilities Lead and mentor team members, fostering collaboration and continuous learning. Manage stakeholder relationships and ensure timely delivery of AI initiatives. Oversee project planning, budgeting, and governance for AI-related programs. Cross-functional Collaboration Work closely with developers, architects, and business stakeholders to translate requirements into AI solutions. Conduct workshops and training sessions on effective prompt engineering. If you are interested, please apply or feel free to share your updated resume at ************************

Role: Staff Machine Learning Engineer Duration: Long-term Mode of Interview: Virtual & Final In-person Why this role exists We're building privacy‐preserving LLM capabilities that help hardware design teams reason over Verilog/SystemVerilog and RTL artifacts-code generation, refactoring, lint explanation, constraint translation, and spec‐to‐RTL assistance. We're looking for a Staff‐level engineer to technically lead a small, high‐leverage team that fine‐tunes and productizes LLMs for these workflows in a strict enterprise data‐privacy environment. You don't need to be a Verilog/RTL expert to start; curiosity, drive, and deep LLM craftsmanship matter most. Any HDL/EDA fluency is a strong plus. What you'll do (Responsibilities) • Own the technical roadmap for Verilog/RTL‐focused LLM capabilities-from model selection and adaptation to evaluation, deployment, and continuous improvement. • Lead a hands‐on team of applied scientists/engineers: set direction, unblock technically, review designs/code, and raise the bar on experimentation velocity and reliability. • Fine‐tune and customize models using state‐of‐the‐art techniques (LoRA/QLoRA, PEFT, instruction tuning, preference optimization/RLAIF) with robust HDL‐specific evals: o Compile‐/lint‐/simulate‐based pass rates, pass@k for code generation, constrained decoding to enforce syntax, and "does‐it‐synthesize” checks. • Design privacy‐first ML pipelines on AWS: o Training/customization and hosting using Amazon Bedrock (including Anthropic models) where appropriate; SageMaker (or EKS + KServe/Triton/DJL) for bespoke training needs. o Artifacts in S3 with KMS CMKs; isolated VPC subnets & PrivateLink (including Bedrock VPC endpoints), IAM least‐privilege, CloudTrail auditing, and Secrets Manager for credentials. o Enforce encryption in transit/at rest, data minimization, no public egress for customer/RTL corpora. • Stand up dependable model serving: Bedrock model invocation where it fits, and/or low‐latency self‐hosted inference (vLLM/TensorRT‐LLM), autoscaling, and canary/blue‐green rollouts. • Build an evaluation culture: automatic regression suites that run HDL compilers/simulators, measure behavioral fidelity, and detect hallucinations/constraint violations; model cards and experiment tracking (MLflow/Weights & Biases). • Partner deeply with hardware design, CAD/EDA, Security, and Legal to source/prepare datasets (anonymization, redaction, licensing), define acceptance gates, and meet compliance requirements. • Drive productization: integrate LLMs with internal developer tools (IDEs/plug‐ins, code review bots, CI), retrieval (RAG) over internal HDL repos/specs, and safe tool‐use/function‐calling. • Mentor & uplevel: coach ICs on LLM best practices, reproducible training, critical paper reading, and building secure‐by‐default systems. What you'll bring (Minimum qualifications) • 10+ years total engineering experience with 5+ years in ML/AI or large‐scale distributed systems; 3+ years working directly with transformers/LLMs. • Proven track record shipping LLM‐powered features in production and leading ambiguous, cross‐functional initiatives at Staff level. • Deep hands‐on skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantization‐aware fine‐tuning (LoRA/QLoRA), and constrained/grammar‐guided decoding. • AWS expertise to design and defend secure enterprise deployments, including: o Amazon Bedrock (model selection, Anthropic model usage, model customization, Guardrails, Knowledge Bases, Bedrock runtime APIs, VPC endpoints) o SageMaker (Training, Inference, Pipelines), S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager. • Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C++). • Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers. Nice to have (Preferred qualifications) • Familiarity with Verilog/SystemVerilog/RTL workflows: lint, synthesis, timing closure, simulation, formal, test benches, and EDA tools (Synopsys/Cadence/Mentor). • Experience integrating static analysis/AST‐aware tokenization for code models or grammar‐constrained decoding. • RAG at scale over code/specs (vector stores, chunking strategies), tool‐use/function‐calling for code transformation. • Inference optimization: TensorRT‐LLM, KV‐cache optimization, speculative decoding; throughput/latency trade‐offs at batch and token levels. • Model governance/safety in the enterprise: model cards, red‐teaming, secure eval data handling; exposure to SOC2/ISO 27001/NIST frameworks. • Data anonymization, DLP scanning, and code de‐identification to protect IP. What success looks like 90 days • Baseline an HDL‐aware eval harness that compiles/simulates; establish secure AWS training & serving environments (VPC‐only, KMS‐backed, no public egress). • Ship an initial fine‐tuned/customized model with measurable gains vs. base (e.g., +X% compile‐pass rate, −Y% lint findings per K LOC generated). 180 days • Expand customization/training coverage (Bedrock for managed FMs including Anthropic; SageMaker/EKS for bespoke/open models). • Add constrained decoding + retrieval over internal design specs; productionize inference with SLOs (p95 latency, availability) and audited rollout to pilot hardware teams. 12 months • Demonstrably reduce review/iteration cycles for RTL tasks with clear metrics (defect reduction, time‐to‐lint‐clean, % auto‐fix suggestions accepted), and a stable MLOps path for continuous improvement. How we work (Security & privacy by design) • Customer and internal design data remain within private AWS VPCs; access via IAM roles and audited by CloudTrail; all artifacts encrypted with KMS. • No public internet calls for sensitive workloads; Bedrock access via VPC interface endpoints/PrivateLink with endpoint policies; SageMaker and/or EKS run in private subnets. • Data pipelines enforce minimization, tagging, retention windows, and reproducibility; DLP scanning and redaction are first‐class steps. • We produce model cards, data lineage, and evaluation artifacts for every release. Tech you'll touch • Modeling: PyTorch, HF Transformers/PEFT/TRL, DeepSpeed/FSDP, vLLM, TensorRT‐LLM • AWS & MLOps: Amazon Bedrock (Anthropic and other FMs, Guardrails, Knowledge Bases, Runtime APIs), SageMaker (Training/Inference/Pipelines), MLflow/W&B, ECR, EKS/KServe/Triton, Step Functions • Platform/Security: S3 + KMS, IAM, VPC/PrivateLink (incl. Bedrock), CloudWatch/CloudTrail, Secrets Manager • Tooling (nice to have): HDL toolchains for compile/simulate/lint, vector stores (pgvector/OpenSearch), GitHub/GitLab CI

Job Title: Mobile App Development Engineer Primary Skills: Flutter/Dart or React Native, Kotlin/Java for Android & Swift/Objective-C for iOS. Mode of Work: Work from Office About the Job: We are seeking a talented Mobile App Development Engineer to join our engineering team in building and maintaining innovative mobile applications for iOS and Android platforms. The engineer will focus on writing clean, efficient code, implementing features, and ensuring high-quality deliverables in a fast-paced environment. This role is a complete hands-on development responsibility. The ideal candidate must possess a diverse skill set to tackle the challenges of app development effectively from proficiency in programming languages such as Java, Swift, or Kotlin to expertise in mobile app development frameworks like React Native or Flutter. Key Responsibilities: Develop and maintain mobile applications using .NET/C#, Java/Kotlin, Swift, or React Native, following clean code principles. Implement user interfaces and features based on wireframes, designs, and technical requirements. Integrate mobile applications with RESTful APIs, backend services, and third-party libraries (e.g., Firebase, Facebook SDK). Write unit and integration tests to ensure code quality and reliability. Debug and resolve issues reported by QA or end-users, optimizing for performance and compatibility. Collaborate with cross-functional teams (e.g., designers, product managers, backend developers) to deliver user-friendly applications. Participate in code reviews to maintain code quality and consistency. Stay updated with mobile platform updates, SDKs, and development best practices. Contribute to technical documentation, including API usage and feature implementation details. Support the application lifecycle, including testing, release, and post-launch maintenance. Required Skills & Experience: Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 2+ years of experience in mobile application development. Proficiency in at least one mobile development language/framework (e.g., .NET MAUI, Java/Kotlin, Swift, React Native). Familiarity with mobile platform APIs, SDKs, and tools (e.g., Android Studio, Xcode). Experience with RESTful APIs, JSON, and web services integration. Knowledge of UI/UX design principles and platform-specific guidelines. Understanding of version control systems (e.g., Git) and basic Agile practices. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Desired Skills & Experience: Experience with cross-platform development frameworks (e.g., Flutter, Xamarin). Knowledge of mobile testing tools (e.g., JUnit, XCTest, Jest). Familiarity with cloud services (e.g., AWS, Firebase) and CI/CD pipelines. Understanding of mobile security practices (e.g., secure storage, API authentication). Contributions to released applications on the App Store or Google Play.

Immediate need for a talented Senior Advanced Mechanical Engineer. This is a 06 months contract opportunity with long-term potential and is located in Phoenix, AZ (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93875 Pay Range: $65 - $68.36/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Imagine, design and develop products and systems as part of a highly engaged and integrated engineering team. You will collaborate across Client Aerospace engineering teams to create solutions and systems that meet the evolving needs of our customers. You will participate in all phases of product development. Refine your engineering talents in a team-based culture by working with innovative products and technologies. Collaborate in world-class project teams to establish effective solutions to complex engineering problems. Improve the world by working on teams that develop modern solutions to complex problems. Key Requirements and Technology Experience: Bachelor's Degree in Mechanical or Aerospace Engineering 6 years of mechanical design and engineering experience with NX and Teamcenter Experience in engine or APU design Proven application of ASME Y14.5 drawing standards including geometric dimensioning and tolerancing (GD&T), both in generating drawings and checking drawings generated by others Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

We are seeking an experienced Senior Vulnerability Management Engineer to support the organization's vulnerability management program and strengthen our overall security posture. The successful candidate will be responsible for configuring the platforms and identifying, assessing, prioritizing and coordinating the remediation of security vulnerabilities across our enterprise infrastructure. Expertise with vulnerability management platforms - such as Nucleus Security, Rapid7 InsightVM, Microsoft Defender, SentinelOne, ServiceNow, BitSight, or similar solutions is essential. This role requires collaboration with cross-functional teams to effectively reduce risk exposure. Qualifications: Vulnerability Management Experience: Minimum of five years' experience managing vulnerabilities within complex IT environments (cloud, on-premises, hybrid). Comprehensive knowledge of operating systems (Windows, Linux, Unix), networking protocols, cloud platforms (AWS, Azure, GCP). Familiarity with web application vulnerabilities (OWASP Top 10) and application security testing. Proficiency with Security Tools: Advanced expertise in leading vulnerability management and security platforms, such as Nucleus Security, Rapid7 InsightVM, Microsoft Defender for Endpoint, ServiceNow, BitSight, or equivalent. Executive Reporting: Ability to prepare and deliver clear, actionable reports for executive audiences, translating technical findings into business risks and impacts. Compliance & Risk Management: Strong understanding of regulatory frameworks and experience implementing controls to meet compliance requirements. Process Improvement & Automation: Demonstrated skill in designing, optimizing, and implementing automated workflows for vulnerability tracking, reporting, and remediation. Analytical Thinking: Exceptional attention to detail, with a track record of leveraging data analysis to drive security decisions and process improvements. Communication & Collaboration: Excellent verbal and written communication skills; ability to engage stakeholders at all levels and facilitate training or awareness initiatives as needed. Preferred Skills: Cloud Security Expertise: Familiarity with cloud security best practices and emerging threats. Project Management: Experience managing complex security projects, including tool migrations, integrations, and process enhancements. Certifications: Relevant industry certifications (e.g., CompTIA Security+, CISSP, CISM, or equivalent) are desirable. Regex (Regular Expressions): Experience using Regex for building automation rules, data parsing, and workflow customization within vulnerability management platforms. SQL: Basic understanding of SQL for querying, analyzing, and manipulating data as part of reporting or automation tasks. Purdue Network Model: Familiarity with the Purdue Enterprise Reference Architecture (PERA) or Purdue Model for Industrial Control System (ICS) network segmentation and security. Problem-Solving: Creative approach to addressing complex security challenges. Attention to Detail: Precise identification and documentation of security vulnerabilities. Security Operations: Active participation in incident response activities during exploitation events and coordination with threat intelligence teams to monitor emerging vulnerabilities and threats. Continuous Learning: Commitment to staying current with evolving threat landscapes and security technologies.

Job Title: Mechanical Design Engineer Type: Full-Time permanent role with Capgemini About the job you're considering We are seeking an experienced Mechanical Engineer to join our team developing automated mobile heavy equipment that removes humans from the dull, dirty, and dangerous jobs. In this role, you will take ownership of complex mechanical designs, lead cross-functional efforts, and drive the development of safe and reliable automation systems. Your role Own the end-to-end design of major subsystems and ensure successful integration into full systems. Lead cross-functional design reviews, making trade-off decisions between mechanical, electrical, and software requirements. Drive validation at the system level, ensuring performance, reliability, and safety standards are met. Guide design standards, best practices, and process improvements for the mechanical engineering function. Collaborate directly with customers, product management, and suppliers on high-impact initiatives. Mentor and develop junior and mid-level engineers, fostering a culture of technical excellence. Your skills and experience Bachelor's or master's in mechanical engineering (Master's preferred). Deep expertise in CAD software (On shape, SolidWorks, Creo, or similar), including advanced assemblies and design-for-manufacturing practices. Advanced experience in mechanical design and system integration, ideally in automation, robotics, or heavy equipment. Strong record of delivering complex systems from concept to production. Strong understanding of pneumatic and hydraulic systems Deep understanding of Stress/strain (FEA) and vibration analysis is preferred Demonstrated expertise in design-for-manufacturing, prototyping, and testing at scale. Proven ability to influence technical direction and manage competing requirements across disciplines. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: · Flexible work · Healthcare including dental, vision, mental health, and well-being programs. · Financial well-being programs such as 401(k) and Employee Share Ownership Plan · Paid time off and paid holidays. · Paid parental leave. · Family building benefits like adoption assistance, surrogacy, and cryopreservation · Social well-being benefits like subsidized back-up child/elder care and tutoring. · Mentoring, coaching, and learning programs · Employee Resource Groups · Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defence, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Get the Future You Want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Systems Engineer I (Linux Focus | Contract-to-Hire | 100% Onsite - Denton, TX) Duration: Contract to Hire Work Schedule: Standard 8-5 with flexibility; onsite required with occasional remote accommodations for life events Work Authorization: Must be authorized to work in the United States without current or future sponsorship Background Check: Must pass a Criminal Justice Information Systems (CJIS) background check upon hire We're seeking a motivated Systems Engineer I to join a dynamic public-sector technology team supporting critical infrastructure and enterprise systems. This role is ideal for an early-career professional who's ready to deepen their hands-on experience in Linux (especially Red Hat), virtualization, and data center operations. You'll work closely with a senior systems engineer to stabilize core infrastructure, support private cloud initiatives, and gain exposure to enterprise monitoring and automation tools. The position is contract-to-hire, with a targeted conversion to full-time employment (estimated salary around $60,000). Systems Operations & Support (70%) Perform daily administration and support for Linux servers (Red Hat preferred) and related infrastructure. Assist with patching, backups, and monitoring using tools such as Nagios, SolarWinds, and WhatsUp Gold (or similar systems). Support virtualization platforms and contribute to the ongoing transition away from VMware. Help stabilize listservs, maintain monitoring systems, and support the buildout of a private cloud environment. Participate in general data center operations, ensuring reliability, uptime, and environmental stability. Documentation & Collaboration (20%) Maintain runbooks, system diagrams, and operational documentation for configuration, patching, and incident response. Follow established change management and problem resolution processes. Collaborate closely with internal IT teams and provide professional, customer-focused support. Projects & Professional Growth (10%) Contribute to infrastructure modernization and automation initiatives, including patching and vulnerability management tools such as AutoBox and Rapid7. Expand skills in scripting, infrastructure automation, and cloud administration (Azure, AWS). Pursue growth within a clearly defined Systems Engineer career track (I → II → III) with associated salary advancement. Education/Experience Qualifications Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent hands-on experience). Practical experience with Linux systems administration (Red Hat strongly preferred) required. Familiarity with virtualization and monitoring systems such as Nagios, SolarWinds, or WhatsUp Gold. Understanding of data center operations, networking fundamentals, and patch management processes. Strong troubleshooting, documentation, and communication skills. Relevant certifications (CompTIA Linux+, Red Hat, Microsoft, AWS, etc.) a plus. Why You'll Love This Opportunity Work on mission-driven infrastructure projects that support public-sector services and operations. Learn from senior engineers in a collaborative, hands-on environment. Gain experience across Linux, virtualization, and private cloud technologies. Defined career growth path with long-term conversion potential. Excellent benefits upon full-time conversion - including pension-style retirement, competitive insurance, and potential tuition reimbursement. GTS Technology Solutions, Inc. is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. As part of our hiring process, we conduct background checks on all final candidates. These checks are conducted in compliance with the guidelines set forth by the U.S. Equal Employment Opportunity Commission (EEOC). We ensure that the information obtained from background checks is used fairly and does not unlawfully discriminate against any individual. GTS Technology Solutions participates in E-Verify to confirm the employment eligibility of all newly hired employees. If you are offered a position with GTS Technology Solutions, your employment will be contingent upon successful verification of your identity and legal authorization to work in the United States through E-Verify. For more information about E-Verify, please visit E-Verify's official website.

Minimum Qualifications - Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5+ years of experience designing, developing, and implementing large-scale solutions in production environments Preferred Qualifications - Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry experience Experience working as a platform engineer or in close collaboration with platform engineers Skills, Licenses, and Certifications Proficiency with the following technologies: Programming Languages: Go, Python, React Deployment Technologies: Kubernetes, Docker Source Control: GitHub CICD: GitHub Actions Data management: PostgreSQL, MongoDB, Redis Integration/APIs Technologies: Kafka, REST, GraphQL Cloud Providers such as Azure and AWS Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity Ability to concisely convey ideas verbally, in writing, in code, and in diagrams Ability to optimize system designs spanning multiple teams to allow small, safe, incremental releases Ability to work through others by cooperatively sharing responsibilities Ability to combines deep knowledge of a product domain with awareness of advancing technology to introduce solutions that propel the technical capability of the organization forward. Proficiency in object-oriented design techniques and principles Proficiency in Agile methodologies, such as SCRUM Proficiency in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment