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Support Engineer, Tier 3
Salary not disclosed
San Mateo, CA 4 days ago

About Keyfactor


Our mission is to build a connected society, rooted in trust, with identity-first security for every machine and human. Keyfactor helps organizations move fast to establish digital trust at scale - and then maintain it. With decades of cybersecurity experience, Keyfactor is trusted by more than 1,500 companiesacross the globe. We are proud to continually earn recognition as a Best Place to Work, and we achieve that through our amazing people who cultivate our culture as we grow. We hope you will trust your future with Keyfactor!

Job Title: Support Engineer, Tier 3


Location: United States; Remote, MST or PST


Experience: Senior Level


Job Function: Support


Employment Type: Full-Time


Industry: Computer and Network Security


Job Summary


The Support Engineer, Tier 3, functions as a senior individual contributor responsible for resolving the most complex and high-impact technical issues. This role provides technical leadership across the support organization, partners closely with Product and Engineering teams, and drives systemic improvements that enhance product stability, support effectiveness, and customer outcomes.


Applicants must hold US citizenship or US permanent resident status.


Job Responsibilities


Advanced Technical Resolution



  • Independently resolves critical, complex, and high-severity customer issues, including those with broad operational or customer impact.
  • Serves as an escalation point for advanced technical issues, applying deep diagnostic expertise across multiple technical domains.
  • Proactively identifies and addresses issues prior to customer or executive escalation.
  • Reproduces customer issues in lab or test environments to validate root cause and confirm resolution.
  • Builds and maintains lab environments used for advanced troubleshooting, validation, and technical enablement.

Subject Matter Expertise



  • Acts as a senior subject matter expert for assigned Keyfactor products, including Command and/or EJBCA.
  • Provides expert-level guidance on PKI, cryptographic concepts, compliance considerations, and secure deployment practices.
  • Applies broad domain knowledge to diagnose complex, non-routine issues across infrastructure, application, and security layers.
  • Contributes technical insight related to emerging risks, architectural considerations, and support readiness.

Knowledge Sharing & Enablement



  • Mentors and provides technical guidance to support engineers across all tiers.
  • Identifies knowledge gaps through case analysis and operational data and contributes to targeted training and documentation.
  • Develops and maintains technical documentation, ensuring accuracy, clarity, and alignment with internal standards and industry best practices.
  • Promotes consistent knowledge sharing to improve overall team capability and reduce recurring issues.

Systemic Improvement & Cross-Functional Collaboration



  • Identifies recurring issues and systemic deficiencies and leads efforts to implement long-term corrective actions.
  • Partners with Product, Engineering, and Support leadership to address root causes and improve product and support processes.
  • Provides technical input that informs product quality, platform stability, and support scalability.
  • Represents customer impact and operational risk during cross-functional discussions and incident reviews.

Customer & Incident Management



  • Manages high-profile customer escalations and outages with professionalism, technical rigor, and clear communication.
  • Communicates complex technical findings and recommendations to both technical and non-technical stakeholders.
  • Maintains accountability for case progression, resolution quality, and documentation accuracy.

Minimum Qualifications, Education, and Skills



  • 3+ or more years of advanced technical support experience or demonstrated equivalent expertise in PKI or related security technologies.
  • Demonstrated depth of expertise in one or more technical domains required to support Keyfactor products.
  • Advanced knowledge of Windows Server and/or Linux, including IIS, ADFS, WAP, and Active Directory.
  • Strong expertise in PKI, ADCS, certificate lifecycle management, and cryptographic principles.
  • Proficient in SQL database analysis, including complex queries and table structure evaluation.
  • Strong understanding of networking concepts, including firewalls, load balancers, and proxy configurations.
  • Experience with cloud platforms such as AWS and/or Azure.
  • Expertise in containerization and orchestration technologies (Docker, Kubernetes).
  • Demonstrates strong verbal and written communication skills with the ability to convey complex technical information clearly and professionally.
  • Maintains a high standard of customer focus and operational accountability.
  • Capable of identifying root causes of complex issues and articulating clear, actionable resolutions.

Compensation


Salary will be commensurate with experience.


Culture, Career Opportunities and Benefits


We build teams that continually strive to get better than the day before. You will be challenged daily and given opportunities to grow personally and professionally. We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.


Here are just some of the initiatives that make our culture special:



  • Second Fridays (a company-wide day off on the second Friday of every month minus November and December of 2025 due to the Holiday schedule). Please note that this benefit is subject to change.
  • Comprehensive benefit coverage globally.
  • Generous paid parental leave globally.
  • Competitive time off globally.
  • Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  • DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  • The Keyfactor Alliance Program to support DEIB efforts.
  • Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  • Global Volunteer Day, company non-profit matching, and 3 volunteer days off.
  • Monthly Talent development and Cross Functional meetings to support professional development.
  • Regular All Hands meetings - followed by group gatherings.

Our Core Values


Our core values are extremely important to how we run our business and what we look for in every team member:


Trust is paramount.


We deliver security software and solutions where trust and openness are of the highest importance for our customers. We are honest and a trusted partner in every aspect of business.


Customers are core.


We strategize, operate, and execute through a customer-centric view. We prioritize the security interests of our customers, and we act as if their data were our own.


Innovation never stops, it only accelerates.


The speed of change is accelerating. We are committed, through investment and focus, to stay ahead of the innovation curve.


We deliver with agility.


We thrive in high-paced and continually changing environments. We navigate through newly added variables, adjust accordingly, while driving towards our strategic goals.


United by respect.


Respect for all is what unites us. We promote diversity, inclusivity, equity, and acting with empathy and openness, both in our business and in our communities.


Teams make "it" happen.


Vision and goals are not individually achievable - they require teamwork. We pride ourselves in operating as a cohesive team, creating promoters and partners, and winning as one.


Keyfactor is a proud equal opportunity employer including but not limited to veterans and individuals with disabilities.


REASONABLE ACCOMMODATION: Applicants with disabilities may contact a member of Keyfactor's People team via and/or telephone at to request and arrange for accommodations at any time.


Keyfactor Privacy Notice

Not Specified
Lead AI Engineer
Salary not disclosed
Quincy, MA 4 days ago

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.


Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.


Our offices have onsite fully equipped state of the art gyms for employees at zero cost.


Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.


We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.


Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.


Granite was recently named One of Forbes Best Employers for Diversity.


Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.


If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.


EOE/M/F/Vets/Disabled

Job Description


We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:



  • Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  • Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  • Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  • Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.



Duties and Responsibilities



  • Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  • Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  • Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  • Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  • Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  • Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  • Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  • Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  • Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  • Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources

Required Qualifications



  • Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  • 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  • Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  • Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  • Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  • Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  • Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  • Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.

Preferred Qualifications:



  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  • Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  • Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  • Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  • Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  • Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  • Experience in regulated industries or environments requiring strict compliance and data governance standards.
Not Specified
Sr. Software Engineer - Engineering Productivity (Fullstack)
Salary not disclosed
Mountain View, CA 4 days ago

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Senior Software Engineer - Engineering Productivity at Reliable Robotics, you will design, and implement software to support the development, analysis, and certification of automated aircraft systems. You will work closely with product owners and end users to develop solutions that enable and optimize engineering development workflows. The software you produce will be critical to the development and certification of the first fully autonomous aircraft.

Responsibilities

In your role as an internal tool developer, you will develop applications, infrastructure, and tools used by engineering to capture product requirements and interface definitions, model the product architecture and design, and reduce and analyze flight and lab test data. You will supercharge the engineering organization's efficiency and effectiveness by streamlining tools and processes. You will work with other teams and stakeholders to establish technical and UX design requirements for these projects and own the "plan, code, build, test, release, deploy" lifecycle of these applications and services.

Basic Success Criteria

  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience

  • 5+ years experience with professional full stack web development in a team setting

  • Professional experience with core browser technologies (JavaScript, HTML, CSS) and TypeScript

  • Experience structuring dynamic, model-driven data and determining data relationships

  • Experience working with SQL, NoSQL, and time series databases

  • Experience designing software architecture for both new and existing projects

Preferred Criteria

  • Experience using Python and libraries such as pandas, matplotlib, and django

  • Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker

  • Experience designing and implementing ingestion pipelines for high-throughput streams of real-time telemetry

  • Experience integrating business intelligence and data visualization tools such as Tableau, Power BI, Superset, Metabase

  • Experience developing React components and reusable libraries/tools for developers

At Reliable Robotics, we believe that our internal tools are key ingredients to our success. Aircraft design, integration, and certification are highly complex processes requiring diligent management of data and their relationships. Traditionally a paper process, our tools enable our system designers to move faster, conduct more thorough and comprehensive analyses, and design safer aircraft systems. Come be a part of taking our products to the next level.


This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $215K - $300K

Apply for this Job
Not Specified
Software Development Engineer I, Embedded Quality
Salary not disclosed
Boston, MA 4 days ago

At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you'll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.

As a Software Development Engineer, you will represent Embedded Quality in the Software organization. You will have a direct impact on the business, advancing the platform for both internal and external customers. You'll be exposed to a large variety of the foundational pieces of the Sonos system - music playback, device-to-device interaction, partner services, and much more. In addition, you'll be tasked with creating a development pipeline with quality at its core. You will be expected to understand the features being built and automate testing of those features. In addition, you will work with a team of industry-leading innovators across many different disciplines such as hardware, product management and user experience. If you love music, solving challenging problems and delivering high-quality products, we want to talk with you!

What You'll Do

  • Develop and improve the team's automated CI/CD release pipeline, with quality as its foundation.

  • Develop automated tests for new software features, especially around partners and control API

  • Monitor, debug, and fix breakages within our automated pipeline.

  • Add and democratize new forms of data and metrics to allow the team to make decisions on where to focus and improve our tests.

  • Be an active participant and engaged part of your Scrum team - you are the voice of both quality and the customer during the development process.

  • Review requirements, behavior specifications, and design documents to begin test development early and uncover issues prior to implementation.

  • Investigate log, track, and triage bugs to determine root cause and establish prioritization.

  • Advocate Software Quality within Sonos

What You'll Need

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria.

Basic Qualifications

  • Bachelor's Degree in Computer Science, Software Engineering or equivalent experience

  • 1-5 years of experience in automation, preferably with embedded systems

  • Demonstrated proficiency writing code for automation with one or more of the following: Python, Javascript, C/C++

  • Experience with version control such as Git, Perforce, etc

  • Knowledge on data instrumentation and telemetry for Software Quality

  • This role requires commuting distance to our main engineering office in Boston. Qualified candidates must be able to be in our office at least once a week. (#LI-Hybrid)

Preferred Qualifications

  • Experience with REST and/or Websocket based APIs

  • Experience with CI/CD build and release pipelines: Github Actions, Jenkins, Azure Pipelines, etc

  • Experience with the following technologies:

    • Embedded, Restful API and Cloud automation testing tools in a B2B model

    • OpenAPI Specifications, Data Telemetry and Code Instrumentation

    • Test Automation Frameworks in Python

    • JIRA

    • Kubernetes and Docker containerization

    • Linux as a development platform

    • Tableau, Kibana, DataDog and other system reliability and quality tracking tools

Visa Sponsorship: Sonos is unable to sponsor or take over sponsorship of an employment visa for this role at this time. We ask that applicants be authorized to work for any US employer, both now and in the future.

Your profile will be reviewed and you'll hear from us once we have an update. At Sonos we take the time to hire right and appreciate your patience.

The base pay range for this role based off geographic location is:

$88,000 and $109,800

The specific pay offered will depend on the candidate's geographic location, as well as qualifications and experience. We apply geographic pay differentials based on the cost of labor in the market. Employees in high-cost locations may be compensated at the upper end of the range, while those in medium or low cost markets may be compensated at the lower end of the range. Your recruiter can provide more details about the specific salary range for your location during the hiring process.

Please note that compensation details listed in US job postings reflect the base salary only, and do not include bonus, equity, or benefits.

We also offer a comprehensive benefits program with choice and flexibility in mind to help support the health, wealth, and overall well-being of our employees. Regular full time employees in the US are eligible for benefits on day one, including:

  • Medical, Dental, and Vision Insurance

  • A 401(k) plan with company matching and immediate vesting

  • An Open Time Off policy (OTO) so you have maximum opportunity to disconnect and recharge, with no tenure-based vacation accruals required

  • 80 hours of sick time upon hire, refreshed annually

  • Up to 12 paid holidays per calendar year

  • Sonos offers a generous paid leave program for new parents or to care for a family member with a serious health condition, as well as short- and long-term disability for your own medical condition

  • Company-paid Disability, Life, and AD&D Insurance

  • Voluntary benefits, including Voluntary Life, AD&D, Accident, and Pet Insurance

  • Mental health benefits to support your holistic well-being

  • A generous employee discount program & Sonos Radio HD - on us!

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Notice to U.S. Job Applicants: Sonos is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Sonos is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.

Not Specified
Client Platform Engineer
🏢 Reliable Robotics
Salary not disclosed
Mountain View, CA 3 days ago

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Client Platform Engineer, you will be a part of our IT and Security team. Your work will have a key impact on the development of Reliable Robotic's internal infrastructure and processes. You will work as part of the IT and Security team towards building, deploying and managing tools. You will be working on building or improving existing automation to support standardization efforts, with a focus on end-user facing endpoints.

Responsibilities

In your role as a Client Platform Engineer, you will be responsible for the design, implementation of tools supporting the business internal needs and standards, as well as support of the IT related needs of our end-users. You will be involved in the design and implementation of tools and their supporting infrastructure, to improve the daily experience of our users across the entire business. This will include managing SaaS services, managing physical infrastructure, and cloud infrastructure to support the needs of the teams at Reliable. You will be responsible for identifying additional opportunities for standardization, improvement of the user experience, and training various teams, including the IT/Security teams you will be working on, for redundancy when new tooling is introduced.

Basic Success Criteria

  • 5+ years of experience supporting business needs in IT

  • Excellent troubleshooting skills

  • Basic networking skills and understanding of basic network services (vlan/routing/wifi/dhcp/dns/etc)

  • Previous management of in-office infrastructure (wifi, printing, etc)

  • Experience with MDM platforms to manage Apple devices (macOS, iOS, iPadOS) and Windows 11 devices

  • Experience with configuration management systems such as Puppet (preferred), Chef or Ansible

  • Scripting skills in various languages (Python, bash, powershell)

  • Understanding of SSL certificates, and PKI infrastructure

Preferred Success Criteria

  • Ability to explain complex concepts to users or colleagues

  • Ability to troubleshoot problems remotely (over Slack, Google Meet, or others)

  • Familiarity with Google Workspace management (access and management of Google services, integration of Google with other services, and the security mechanisms available in those environments)

  • Experience with virtualization/containerization, both in AWS and GCP, KVM, LXC, and Docker

  • Development tooling experience (git, github, vscode, pip3)

  • Experience with AWS services (IAM, ec2, s3, route53, SSO, lambda, etc)

  • Application (re)packaging and management (msi/pkg/deb)

  • Experience in environments where data management, classification and handling is critical

  • Experience with end-user supports with software and computing devices

  • Mobile device management and BYOD policies

This position is based at our facility in Mountain View, California.

Must be willing to travel up to 10% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $125K - $185K

Apply for this Job
Not Specified
Staff Data Engineer ( Boston or Chicago )
Salary not disclosed
Chicago, IL 2 days ago

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
  • Better together:We check our egos at the door. We work together, so we win together.
Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform experience.The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists. The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads.

Duties & Responsibilities

Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills

Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.

Qualifications

Minimum Qualifications

5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Not Specified
Manager, Engineering
🏢 Keyfactor
Salary not disclosed
Independence, OH 2 days ago

About Keyfactor


Our mission is to build a connected society, rooted in trust, with identity-first security for every machine and human. Keyfactor helps organizations move fast to establish digital trust at scale - and then maintain it. With decades of cybersecurity experience, Keyfactor is trusted by more than 1,500 companiesacross the globe. We are proud to continually earn recognition as a Best Place to Work, and we achieve that through our amazing people who cultivate our culture as we grow. We hope you will trust your future with Keyfactor!

Title: Manager, Engineering


Location: United States or Canada; Remote


Experience: Senior/Manager


Employment Type: Full-Time


Industry: Computer and Network Security


Job Summary


Leads a team of engineers, managing day-to-day activities and project goals. Drives technical excellence, supports team development, and ensures successful execution of engineering tasks.


Applicants must hold U.S. citizenship.


Job Responsibilities



  • Lead and manage a team of engineers, focusing on project execution and team development.
  • Ensure that engineering work aligns with technical and business requirements.
  • Oversee project planning, execution, and delivery, managing timelines and resources.
  • Collaborate with product managers and other teams to drive project success.
  • Implement and maintain engineering processes and best practices.
  • Monitor and ensure the quality of engineering deliverables.
  • Provide guidance and support to team members, fostering their growth.
  • Address and resolve technical and project-related issues.
  • Manage resource needs and allocation for engineering projects.
  • Track and report on project progress and team performance.

Minimum Qualifications, Education, and Skills



  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 7+ years of experience in software engineering, with at least 3 years in a leadership role.
  • Excellent managerial and organizational skills, strong decision-making, and resource allocation.
  • Proficiency in team management, process improvement, and effective communication.
  • Ability to manage multiple teams, ensure alignment with company goals, and drive performance improvements.
  • Ability to oversee project execution, collaborate across departments, and ensure timely delivery of high-quality software products.
  • Comprehensive knowledge of departmental operations, budget management, and strategic planning.
  • Knowledge of software development life cycle, agile methodologies, and performance optimization.

Technical Skills and Experience



  • Hand-on experience with programming in C/C++ and Go.
  • Strong background in building scalable software systems for multi-cloud (AWS, Azure) and on-premise environments.
  • Experience with cryptographic libraries and frameworks.
  • Experience integrating with external systems using APIs for push-based (webhooks, pub/sub, streaming) and pull-based (polling, REST/RPC/gRPC) data exchange.
  • Strong knowledge of event-driven and message-oriented architectures, using tools such as Kafka, cloud-native pub/sub systems or similar.
  • Familiarity with containerization (docker, podman) and orchestration (Kubernetes) for deployment and scaling in distributed environments.
  • Experience with deep cryptographic object inspection, secure protocol implementation (TLS, PKI, key management), and certificate validation a big plus.
  • Experience with static analysis tools and techniques, including parsing, bytecode analysis, and vulnerability detection a big plus.
  • Exposure to endpoint agents, scanning tools, and security integrations a big plus.

Compensation


Salary will be commensurate with experience.


Culture, Career Opportunities and Benefits


We build teams that continually strive to get better than the day before. You will be challenged daily and given opportunities to grow personally and professionally. We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.


Here are just some of the initiatives that make our culture special:



  • Second Fridays (a company-wide day off on the second Friday of every month minus November and December of 2025 due to the Holiday schedule). Please note that this benefit is subject to change.
  • Comprehensive benefit coverage globally.
  • Generous paid parental leave globally.
  • Competitive time off globally.
  • Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  • DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  • The Keyfactor Alliance Program to support DEIB efforts.
  • Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  • Global Volunteer Day, company non-profit matching, and 3 volunteer days off.
  • Monthly Talent development and Cross Functional meetings to support professional development.
  • Regular All Hands meetings - followed by group gatherings.

Our Core Values


Our core values are extremely important to how we run our business and what we look for in every team member:


Trust is paramount.


We deliver security software and solutions where trust and openness are of the highest importance for our customers. We are honest and a trusted partner in every aspect of business.


Customers are core.


We strategize, operate, and execute through a customer-centric view. We prioritize the security interests of our customers, and we act as if their data were our own.


Innovation never stops, it only accelerates.


The speed of change is accelerating. We are committed, through investment and focus, to stay ahead of the innovation curve.


We deliver with agility.


We thrive in high-paced and continually changing environments. We navigate through newly added variables, adjust accordingly, while driving towards our strategic goals.


United by respect.


Respect for all is what unites us. We promote diversity, inclusivity, equity, and acting with empathy and openness, both in our business and in our communities.


Teams make "it" happen.


Vision and goals are not individually achievable - they require teamwork. We pride ourselves in operating as a cohesive team, creating promoters and partners, and winning as one.


Keyfactor is a proud equal opportunity employer including but not limited to veterans and individuals with disabilities.


REASONABLE ACCOMMODATION: Applicants with disabilities may contact a member of Keyfactor's People team via and/or telephone at to request and arrange for accommodations at any time.


Keyfactor Privacy Notice

Not Specified
CAD Designer, Dresses
Salary not disclosed
New York, NY 4 days ago

CAD Designer

Department: Jessica Howard Dresses

Employment Type: Full-time

Location (On-Site): New York City, Midtown Manhattan – Fashion District


About G-III Apparel Group | Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. With a diverse portfolio of owned and licensed brands, we bring trend-driven product to market with speed, scale, and operational excellence. Our entrepreneurial culture and strong global partnerships allow us to deliver high-quality fashion while driving growth across categories and channels.



Key Responsibilities


Print Design & Artwork Development

  • Partner with the Design team to create and develop original prints and graphics for Dresses
  • Translate creative concepts into production-ready CAD artwork and technical layouts.
  • Create multiple colorways and cost-effective print layouts for bulk production.
  • Present seasonal color direction and print strategy alongside the Design team.


Production Support & Vendor Coordination

  • Communicate with mills to support timely development of strike-offs and sample yardage.
  • Review artwork from external studios and manage purchased artwork assets.
  • Support adherence to development calendars and seasonal deadlines.


Creative Operations & Market Support

  • Maintain and organize the art library and digital asset files.
  • Assist with the creation of sales tools and visual assets for market appointments.
  • Support copyright tracking and manage studio invoice documentation.


Qualifications

Experience & Education

  • Minimum of 5+ years of CAD design experience within women’s fashion, preferably in Dresses, Sportswear, or Contemporary apparel.
  • Strong background in textile design and print development.

Skills & Competencies

  • Advanced proficiency in Adobe Photoshop and Illustrator.
  • Strong eye for color, pattern, and composition with high attention to detail.
  • Understanding of mill processes, textile printing techniques, and production workflows.
  • Ability to manage multiple projects simultaneously in a fast-paced environment.
  • Comfortable working independently while collaborating cross-functionally.
  • Experience working within high-SKU volume environments preferred.


What We Offer

  • Competitive hourly compensation
  • Part-time schedule (approximately 20 hours per week)
  • Opportunity to work with a globally recognized fashion organization
  • Collaborative and creative studio environment
  • Exposure to cross-functional design and production teams


Compensation

Salary Range: $75,000 – $80,000 per hour

This compensation range represents a good-faith estimate and is provided in accordance with the New York City Salary Transparency Law. Final hourly rate will be based on experience, qualifications, and internal equity.


Equal Opportunity Employer Statement

G-III Apparel Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., GIII Sports and more. G-III has fashion licenses under Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville and more. G-III also operates retail stores for the DKNY, Karl Lagerfeld Paris and Donna Karan brands.

Not Specified
Senior Technical Designer | Karl Lagerfeld, Donna Karan Dresses
🏢 G-III Apparel Group
Salary not disclosed
New York, NY 4 days ago

Senior Technical Designer | Karl Lagerfeld, Donna Karan Dresses

G-III Apparel Group


Success Profile:

The Senior Technical Designer for Dresses is responsible for ensuring that design vision is translated into a well-constructed and manufacturable garment that reflects brand’s esthetics and design integrity. As a member of the Technical Design team, you will conduct fit sessions, communicate fit session to vendors, G-III global offices and work cross-functionally to ensure accuracy of garment measurements, fit, construction details and flow of information while addressing any technical challenges during the development and production process.


Brand/Product Focus: Karl Lagerfeld , Donna Karan Dresses

Reports To: Director of Technical Design

Location (On-Site - 5 Days per Week): New York City, Midtown Manhattan – Fashion District


Key Accountabilities:

  • Manage product lifecycle from Showroom sample through pre-production fit approval.
  • Oversee pre-production samples development, ensuring they meet design specifications and quality standards.
  • Develop comprehensive technical packages, to final full graded specifications. Determine necessary corrections, utilize garment patterns effectively to achieve the desired fit, silhouette, and style.
  • Lead live fit sessions to evaluate and refine fit, construction, and quality. Execute fit comments in a timely manner to ensure the fit process remains aligned with production timelines and objectives. Provide grading guidelines to vendors after fit approval, ensure that grading is executed accurately to preserve the integrity of the design and fit across all sizes.
  • Partner successfully with Product Development, Design and Production teams to ensure fit and product development process stays in line with production and action timelines. Create and manages WIP report for development tracking and garment delivery


Education and Experience:

  • 7+ years of Technical Design experience
  • College degree, or equivalent professional work experience, required


Skills and Behaviors:

  • Proven expertise in apparel fitting, specs and patterns
  • Working knowledge of PLM, Illustrator, Photoshop, PowerPoint, Excel
  • Strong project management and multi-tasking skills with critical attention to detail
  • Confident, engaging verbal and written communication skills
  • Motivated to work in a high energy environment at the speed of fashion with ever-changing priorities
  • Ability to work independently and work to meet multiple deadlines
  • Ability to build and maintain relationships with other departments as well as vendors and other overseas offices


What We Offer

  • Competitive compensation
  • Comprehensive medical, dental, and vision benefits
  • 401(k) with company match
  • Generous PTO and paid holidays
  • Employee discounts across G-III brands
  • Career growth opportunities within a global fashion organization
  • A collaborative, innovative environment working with industry-leading brands


The pay range for this position is: $90,000 per year -$115,000 per year

Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.


About G-III Apparel Group, Ltd. | excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry.


G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., GIII Sports and more. G-III has fashion licenses under Cole Haan, Dockers, Converse, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville and more. G-III also operates retail stores for the DKNY, Karl Lagerfeld Paris and Donna Karan brands.

Not Specified
Temporary Product Development Manager
🏢 G-III Apparel Group
Salary not disclosed
New York, NY 4 days ago

Temporary Product Development Manager | G-III Apparel Group


Location (On-Site – 5 Days per Week): New York City, Midtown Manhattan – Fashion District

Assignment: 4 to 6 weeks


We are seeking a Temporary Product Development Manager, who will play a pivotal role in driving the end-to-end development process, ensuring design integrity, cost efficiency and on-time delivery across all women’s product categories. The Manager acts as the central liaison between Design, Merchandising, Production and overseas partners. The ideal candidate combines a strong understanding of apparel construction, costing and development timelines, with exceptional organizational skills and attention to detail.


Responsibilities:

Development and Logistics:

  • Execute day to day based on priorities set by management, and drive task completion and issue resolution.
  • Operate with working knowledge of the development process and how it relates to the Product Development Timeline and business partners (PD teams, Design, Merchandising, Materials, Production).
  • Send development packages to overseas partners and sample facilities.
  • Ensure accuracy of information. Initiate and keep track of status of material and sample requests, approvals, and alert management of exceptions.
  • Execute, update and maintain necessary tools (Design Cards, Functionality Chart, Development Logs and Matrices).
  • Responsible for daily communication with overseas offices.


Trims and Fabric:

  • Support the review of prototypes to meet Product Development Timeline milestones with a focus on product execution and consistency of details.
  • Understand and uphold Design’s aesthetic intent.


Qualifications:

  • 5+ years of experience in apparel product development, specializing in women’s apparel
  • Bachelor's Degree
  • Knowledge of garment construction required
  • Strong skill set in Illustrator and Excel required; experience with PLM preferred
  • Strong organizational skills and attention to detail
  • Strong sense of teamwork and ability to multitask
  • Strong analytical and decision-making skills
  • Experience with technical design a plus
  • Must be able to perform efficiently in a high pressure, fast-paced environment


The pay range for this position is: $37.00 - $43.00 per hour


Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.


About G-III Apparel Group, Ltd.

G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution, and marketing, enabling us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands—including some of the most sought-after names in global fashion—our success is driven by our entrepreneurial spirit and deep industry relationships.


G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., GIII Sports and more. G-III has fashion licenses under Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and more. G-III also operates retail stores for the DKNY, Karl Lagerfeld Paris, and Donna Karan brands.

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