91 Results for Okta Engineer Jobs

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Cyber Security Engineer

Brookfield, WI
onsite
Permanent / Full Time
115000 - 135000 USD / Yearly
We are looking for a Cyber Security Engineer to strengthen and support the security of our technology environment in Brookfield, Wisconsin. In this role, you will help safeguard infrastructure, applications, networks, and data by building effective controls, assessing risk, and responding to security concerns. You will work closely with cross-functional technical teams to improve resilience, reduce exposure, and promote practical security standards across daily operations. Responsibilities: • Build, configure, and sustain security measures across cloud platforms, network infrastructure, servers, and endpoint devices. • Review security monitoring data, analyze suspicious activity, and investigate alerts generated through enterprise security tools such as Microsoft Sentinel, Splunk, or QRadar. • Perform vulnerability reviews, prioritize findings based on risk, and partner with technical teams to drive timely remediation. • Contribute to identity and access management efforts by supporting multi-factor authentication, privileged access controls, and role-based permissions. • Take part in incident response activities by assisting with investigation, containment, recovery, and follow-up documentation. • Support audit readiness, compliance activities, and the creation or refinement of security policies and standards. • Partner with infrastructure, cloud, and application teams to embed sound security practices into projects, system changes, and operational processes. • Assess emerging security technologies and provide recommendations that improve the organization’s overall defensive capabilities. • Create and maintain security procedures, playbooks, and technical documentation to support consistent operations and response efforts. • Advise internal teams on security awareness, risk reduction, and practical approaches to protecting systems and information.
2026-09-28T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Machine Learning Engineer

Glendale, AZ
onsite
Temporary / Contract
65 - 70 USD / Hourly
Robert Half is working with a client who is looking to hire a Machine Learning Engineer to help operationalize machine learning models as part of a growing enterprise AI program.This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.Responsibilities<ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul>
2026-10-06T00:00:00Z

AI / Machine Learning Engineer

Des Moines, IA
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity Location: Hybrid - Des Moines, IA Salary: $80,000 - 100,000 base annual salary plus exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** AI / Machine Learning Engineer Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges? We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities. In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives. What You'll Do • Develop and improve machine learning and predictive analytics models • Analyze complex data using Python and SQL • Support anomaly detection, forecasting, and advanced analytics initiatives • Evaluate model performance and recommend improvements • Collaborate with analysts, stakeholders, and leadership to solve business problems • Help shape AI/ML tools, methodologies, and best practices What We're Looking For • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn • Experience with statistical modeling, predictive analytics, and machine learning • Strong SQL and data analysis skills • Ability to explain technical concepts to both technical and non-technical audiences • Collaborative, self-directed, and entrepreneurial mindset Why Join? • Make a visible impact in a growing AI/ML practice • Work directly with decision-makers and leadership • Collaborative, team-oriented culture with exceptional employee tenure • Hybrid work environment • Opportunity to influence strategy, architecture, and future AI initiatives • Competitive compensation and benefits This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-14T00:00:00Z

Identity Governance Engineer

Minneapolis, MN
remote
Temporary / Contract
100 - 125 USD / Hourly
We are looking for an experienced Identity Governance Engineer. This role is focused on strengthening identity governance and privileged access capabilities by partnering with business stakeholders and building secure, scalable solutions across the user access lifecycle. The ideal candidate will bring deep expertise in modern identity platforms and scripting, along with the ability to translate governance needs into effective technical designs. Responsibilities:• Lead the design and ongoing enhancement of identity governance and privileged access processes for employee accounts and technical identities.• Build and maintain lifecycle-driven access controls that support onboarding, role changes, and offboarding across enterprise systems.• Partner with business and technology teams to define identity policies, align governance standards, and implement supporting controls.• Develop and configure integrations and connectors between identity platforms and business applications to enforce access rules consistently.• Architect and support core security capabilities spanning identity governance, privileged access management, multifactor authentication, and single sign-on services.• Troubleshoot platform issues across identity and access technologies and deliver technical solutions that meet operational and security requirements.• Evaluate and incorporate tools such as SailPoint Identity Security Cloud, Microsoft Entra ID, CyberArk, BeyondTrust, and Clutch Security into the broader access management framework.
2026-10-16T00:00:00Z

Computer Vision Engineer

Cambridge, MA
onsite
Permanent / Full Time
130000 - 160000 USD / Yearly
We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value. Responsibilities: • Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking. • Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow. • Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions. • Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2. • Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs. • Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate. • Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings. • Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
2026-09-21T00:00:00Z

Artificial Intelligence (AI) Solutions Engineer/ Developer

Phoenix, AZ
onsite
Temporary / Contract
95 - 110 USD / Hourly
Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.Key Responsibilities<ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul>
2026-10-13T00:00:00Z

Supplier Quality Engineer

Lavergne, TN
onsite
Permanent / Full Time
65000 - 85000 USD / Yearly
Our client is seeking a Supplier Quality Engineer to drive supplier quality performance, lead corrective action initiatives, and reduce manufacturing defects and material-related scrap. This role partners closely with suppliers, engineering, operations, and quality teams to ensure purchased materials meet quality expectations and support continuous improvement efforts. Key Responsibilities:<ul><li>Lead supplier quality investigations, containment activities, and corrective action efforts.</li><li>Partner with suppliers to identify root causes and implement sustainable solutions using methodologies such as 8D and continuous improvement tools.</li><li>Coordinate material sorting and containment activities with internal teams, suppliers, and third-party providers.</li><li>Track and analyze supplier-related quality issues, assembly damage, and scrap trends.</li><li>Drive process improvement initiatives using DMAIC, Pareto analysis, trend analysis, and data-driven action plans.</li><li>Manage the supplier failure analysis process, including tracking returned materials and ensuring timely supplier responses.</li><li>Collaborate with Operations, Quality, Process Engineering, and Test Engineering teams to improve product quality and reduce costs.</li><li>Support ISO 9001 quality management activities, including internal audits, documentation, calibration, and continuous improvement efforts.</li><li>Prepare reports and communicate quality performance metrics to management and key stakeholders.</li></ul>
2026-10-02T00:00:00Z

M365 Solutions Engineer

Buda, TX
onsite
Temporary / Contract
70 - 85 USD / Hourly
M365 Solutions EngineerOnsite | Buda, TX | Contract Robert Half is hiring a Microsoft 365 Solutions Engineer to lead collaboration platform optimization and integration efforts during a major business transformation initiative. This role will focus on modern workplace technologies, tenant consolidation, governance, and user collaboration solutions. Responsibilities: <ul><li>Assess and document Microsoft 365 collaboration environments.</li><li>Lead migration, consolidation, and integration activities across Microsoft 365 platforms.</li><li>Design and support Teams, SharePoint Online, OneDrive, Exchange Online, and related services.</li><li>Establish governance, security, and collaboration best practices.</li><li>Support user adoption and platform modernization initiatives.</li><li>Create technical documentation and future-state architecture recommendations.</li></ul>
2026-10-01T00:00:00Z

Software Integration Engineer

Cambridge, MA
onsite
Permanent / Full Time
150000 - 180000 USD / Yearly
We are looking for a Software Integration Engineer to help connect industrial imaging hardware with reliable software systems that support modern manufacturing operations in Cambridge, Massachusetts. In this role, you will work across camera technologies, application software, and backend services to ensure image capture and device performance meet production needs. This position offers the chance to contribute to a growing team focused on practical computer vision solutions used in real factory environments. Responsibilities: • Build and support camera capture capabilities within production software workflows used in manufacturing environments. • Create and maintain integrations for GenICam-compatible cameras, including work with Basler and related imaging toolkits when applicable. • Investigate and resolve image acquisition problems such as timing inconsistencies, dropped frames, and synchronization failures. • Adjust and fine-tune imaging settings including exposure, gain, trigger behavior, and lighting coordination for different use cases. • Collaborate with software engineers to extend hardware connectivity and improve backend services for image capture and device management. • Assess suitable lenses, optics, and illumination approaches to improve image quality and application performance. • Develop and maintain interfaces between the platform and customer equipment, including industrial control and automation systems. • Support configuration of real-time monitoring and control environments tied to production operations where needed.
2026-09-21T00:00:00Z

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-10-16T00:00:00Z

Software Automation Engineer

Philadelphia, PA
remote
Temporary / Contract
55 - 59 USD / Hourly
Software Automation Engineer IVLocation: Remote, East Coast hours We are seeking a senior-level Automation Engineer IV to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of Python engineering, automation, machine learning, software quality, and AI enablement, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments. Responsibilities:<ul><li>Help operationalize AI and machine learning solutions, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to integrate and deploy AI capabilities.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where AI can improve existing applications, processes, testing, and operational workflows.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul>Design, build, and deploy AI-powered solutions such as:<ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
2026-10-09T00:00:00Z

Industrial Software & Applications Engineer

Canonsburg, PA
onsite
Permanent / Full Time
85000 - 125000 USD / Yearly
We are looking for an Industrial Software & Applications Engineer to join a permanent team supporting industrial technology initiatives in Pennsylvania. This position blends software engineering with automation support, offering the opportunity to build and enhance applications that improve visibility, reliability, and performance across operational systems. The role is well suited for someone who enjoys solving technical problems, working with connected equipment, and contributing to projects involving industrial data, controls, and modern software tools. Responsibilities: • Build, maintain, and enhance software applications that support the monitoring, control, and analysis of industrial operations. • Work with automation hardware and software such as PLCs, HMIs, sensors, and instrumentation to support system connectivity and functional performance. • Develop scripts, APIs, dashboards, and reporting tools that help teams access operational data and improve decision-making. • Assist with collecting, validating, transforming, and processing industrial data for both real-time use and longer-term analysis. • Troubleshoot communication links, interfaces, and networked systems to improve reliability across connected industrial environments. • Contribute to system testing, commissioning, validation, and deployment activities for new or updated software and automation solutions. • Analyze equipment and process data to identify trends, support predictive maintenance efforts, and recommend operational improvements. • Create clear technical documentation, including diagrams, procedures, test plans, and troubleshooting references. • Support initiatives involving cloud platforms, edge computing, remote connectivity, and cybersecurity practices for industrial systems.
2026-10-13T00:00:00Z

Sr. MLOps Engineer

King of Prussia, PA
onsite
Permanent / Full Time
165000 - 185000 USD / Yearly
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations. Responsibilities: • Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability. • Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs. • Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time. • Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability. • Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes. • Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact. • Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models. • Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements. • Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices. • Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
2026-09-24T00:00:00Z

Software Tester / QA: I

Richmond, VA
onsite
Temporary / Contract
50 - 60 USD / Hourly
We are looking for a detail-oriented QA specialist to support end-to-end validation of smart retail cart technology in Richmond, Virginia. This Long-term Contract position is ideal for someone who enjoys working at the intersection of software and physical devices, ensuring reliable performance across mobile applications, connected hardware, and in-store integrations. The role will partner closely with engineering, product, and deployment teams to help deliver high-quality releases for retail environments. Responsibilities: • Lead comprehensive validation efforts for new features and recurring release cycles across smart cart deployments used by multiple retail partners. • Perform integrated testing across Android applications and connected components such as payment devices, cameras, scales, and other peripheral hardware. • Create, organize, and update detailed test scenarios and execution plans to support product launches, enhancements, and site-specific implementations. • Record defects in issue-tracking systems, assess severity, and work with engineering teams to investigate root causes and confirm fixes. • Coordinate with product, deployment, and external retail stakeholders to support pilots, feature introductions, and operational readiness. • Execute hands-on testing with physical equipment to confirm dependable interaction between software workflows and hardware behavior. • Contribute to release quality by verifying system performance through both targeted functional testing and broader regression coverage.
2026-10-05T00:00:00Z

Transition Engineer

Eastaboga, AL
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Transition Engineer to lead critical integration and platform transition efforts for a Long-term Contract assignment based in Eastaboga, Alabama. This role focuses on ensuring reliable connectivity between external providers, enterprise transportation systems, and internal dispatch tools while supporting operational continuity. The ideal candidate will bring strong systems integration experience, sound change control practices, and the ability to translate business process needs into stable technical solutions. Responsibilities: • Lead the company-side readiness for provider cutover activities, including network routing, certificate setup, and end-to-end connection validation. • Track transaction flow from the external provider through the McLeod platform and into the internal dispatch environment to confirm data integrity across systems. • Adjust the dispatch application only where necessary so it can accept and process the incoming feed with minimal disruption to operations. • Plan and execute rollback rehearsals and full-cycle testing, including month-end validation, to confirm production readiness before final transition. • Partner with the designated McLeod specialist to coordinate integration behavior, align mapping dependencies, and resolve handoff issues efficiently. • Decommission legacy integrations by confirming inactivity, retiring obsolete interfaces, and documenting shutdown steps for affected systems. • Evaluate an external customer portal and provide a clear recommendation on whether it should be retired, modernized, or replaced. • Support the move of dispatch decisioning into the McLeod planning board by converting documented business rules into actionable system configuration requirements. • Maintain operational ownership of Linux-based servers and related applications, ensuring stability, controlled changes, and complete technical documentation throughout the engagement.
2026-10-14T00:00:00Z

91 results for Okta Engineer jobs