AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Stage Computer Vision
ShareID is an authentication solution that provides reliable identity verification, replacing vulnerable passwords with true identity-based user authentication.
Education Requirements:
Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field
Experience Requirements:
Strong understanding of computer vision concepts and techniques
Knowledge of image processing and analysis techniques
Familiarity with openCV and scikit
Experience with programming languages such as Python and C++
Familiarity with deep learning frameworks such as TensorFlow or PyTorch
Other Requirements:
Excellent problem-solving and analytical skills
Strong communication and and teamwork skills
Responsibilities:
Working alongside experienced engineers and researchers on a challenging project that have a real-world impact
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Applied ML Research Engineer
Genius is VERSES' agentic enterprise intelligence platform, providing reliable predictions and smarter decisions by modeling causal relationships in complex systems.
Education Requirements:
Master's degree in a quantitative field
Experience Requirements:
Experience in applying Bayesian techniques
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Manager, Solutions Engineering, Verticals
On3 is an AI-powered mobile training app for frontline teams, empowering them to capture, create, and share real-world knowledge instantly from the job site.
Benefits:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
Experience Requirements:
3+ years of demonstrated success as a manager of a Solutions/Sales Engineering team at a B2B SaaS company
5+ years as a Solutions Engineer in Healthcare & Life Sciences, Financial Services, State & Local Governments, or Higher Education prior to management.
Deep understanding of AI agent workflows and their application to compliance needs in regulated industries.
Experience scaling teams during high-growth periods, attracting, hiring, growing, and retaining top Solutions Engineering talent.
Skilled in navigating complex enterprise deals with multiple stakeholders, coaching on deal strategy, and addressing technical challenges.
Other Requirements:
Exceptional communicator with proven operational excellence and the ability to create new processes and analytical frameworks to track team goals.
Results-oriented, data-driven leader with a proactive approach to identifying and addressing business opportunities in a high-growth environment.
Ability to travel periodically to meet customers as needed.
Responsibilities:
Build and retain a high-performing team of Solutions Engineers through recruitment, coaching, and professional development, fostering expertise in AI agent workflows.
Leverage your industry knowledge to provide hands-on strategy, technical coaching, and demo excellence, driving success for enterprise accounts.
Enhance Solutions Engineering efficiency by developing processes and analytical tracking to monitor team goals and performance metrics.
Partner with the AMER Solutions Leadership to shape the vision for a growing Solutions Engineering team and contribute to the enterprise playbook.
Collaborate cross-functionally with Sales, Product, Engineering, Security, Marketing, and Customer Success to align AI agent workflows with industry compliance requirements.
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Sr. Engineering Manager
On3 is an AI-powered mobile training app for frontline teams, empowering them to capture, create, and share real-world knowledge instantly from the job site.
Benefits:
Comprehensive Medical, Dental, and Vision plans with a 100% employer-paid monthly premium option for employees & 50% employer-paid monthly premiums for dependents
Health Savings Account with company contribution for eligible medical plans
Flexible Vacation Plan
10 Paid Company Holidays
100% employer-paid Life, AD&D and Short- and Long-Term Disability Insurance
Experience Requirements:
A minimum of 10 years of experience in software engineering is a must
at least 4 years in an engineering leadership role is required
Expert knowledge of Cloud Software Development and concepts
Experience in iOS/Android app development using the latest frameworks
Experience with FullStack apps, DevOps, and database technologies, patterns, and architectures
Other Requirements:
Deep empathy for our internal and external customers with a demonstrated record of delivering high-quality software in a timely manner
Ambitious and resourceful; results-oriented; highly innovative. Focused on business value creation through innovation
Highly analytical, data-driven mindset; holds self and others accountable with measurable ROI-oriented KPIs
Responsibilities:
Lead, mentor, and grow a team of talented software engineers, promoting a culture of rapid innovation, continuous improvement, and efficiency
Work collaboratively with Product Management on the roadmap, ensuring that the timelines proposed are realistic based on the likely technical approach to executing the underlying requirements.
Be the vocal champion for the engineering team in proposing candidates for inclusion on the product and technology roadmap. Ensure that risks associated with tech debt are clearly communicated to stakeholders outside of the engineering team.
Oversee the software engineering function for all software properties and customer-facing assets, including managing the software engineering sprint cycles
Act as a scrum master for pods and help unblock engineers as needed.
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Generative AI TeamLead
Blindspot.AI is an AI expert company that designs tailored solutions and provides ready-made products to help companies unlock business value through artificial intelligence.
Benefits:
Attractive financial compensation and career growth
25 days of vacation
Multisport card
Financial bonuses
Opportunity to take responsibility and ownership of your work
Education Requirements:
Computer science/engineering education (BSc or MSc equivalents)
Experience Requirements:
Extensive experience in leading and managing complex technical projects
Comprehensive understanding of statistical machine-learning methods
Extensive practical experience with Retrieval Augmented Generation and agentic approaches
Practical experience with vector databases
Experience with the productization of Generative AI projects
Other Requirements:
Analytical skills and mathematical reasoning
Knowledge of Python ML libraries
Passion, self-improvement mindset, and hardworking attitude
Responsibilities:
Lead a team of skilled developers to design, build, and deploy cutting-edge AI solutions
Leverage the latest advancements in generative AI, including Retrieval-Augmented Generation (RAG) and agentic approaches
Deliver production-quality applications
Ensure effective teamwork and clear communication with colleagues
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GTM Engineer
Cargo is an AI platform providing AI Agents to automate go-to-market tasks, including lead qualification, prospect engagement, and opportunity conversion for GTM teams.
Experience Requirements:
Most impactful result your GTM work has driven
Number of tables you have built
Most expensive table you ran and why it was expensive
Experience building in-house or for others
Other Requirements:
Share your LinkedIn profile
Share a <5-minute Loom video of a Clay workflow you've built, explaining why and how it was built, and why you chose to send this workflow over another
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Junior QA Analyst
Research Solutions is a comprehensive suite equipping researchers with verifiable evidence, streamlined literature access, and AI tools for modern R&D.
Education Requirements:
Bachelor’s degree in Computer Science or a related field
Experience Requirements:
2-3 years of experience in a QA role, with demonstrated proficiency in functional testing, defect tracking, and reporting
Other Requirements:
Excellent problem-solving and analytical skills
Ability to learn quickly and work independently
Advanced English communication skills, both written and verbal
Strong familiarity with Software Development Lifecycle (SDLC) methodologies, including both Waterfall and Agile
ISTQB Foundation Level certification is a plus
Must be based in Mexico
Responsibilities:
Collaborate closely with stakeholders to understand business requirements and design comprehensive test cases.
Conduct functional and regression testing to identify and address potential issues.
Track and register defects, collaborating with the development team to ensure timely resolution (defect lifecycle).
Retest applications after bug fixes to confirm effective resolution.
Provide daily status updates to team leaders and project stakeholders.
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Applied ML Engineer
SiteRecon is a mapping software empowering landscaping pros to deliver exceptional customer experiences from sales to renewal, boosting efficiency and growth.
Education Requirements:
Master's/PhD in Computer Science, Machine Learning, or related field preferred.
Experience Requirements:
5+ years of hands-on deep learning experience
Track record of successfully deploying computer vision models in production
Experience with vision transformer architectures
Experience optimizing models for production using ONNX/TensorRT
Background in handling high-resolution satellite/aerial imagery preferred.
Other Requirements:
Strong foundation in computer vision and deep learning fundamentals
Extensive experience training transformer models from scratch
Expert-level proficiency in PyTorch
Experience with ONNX or TensorRT model optimization and deployment
Deep understanding of distributed computing and parallel processing
Advanced Python knowledge, including multi-threading and multi-processing optimization
Experience with semantic segmentation tasks
Proven track record of handling large-scale data processing
Responsibilities:
Design and implement the transformer-based architecture for the semantic segmentation of aerial imagery.
Develop efficient image-to-token and token-to-image conversion pipelines.
Create and maintain training datasets, including data cleaning, augmentation, and validation.
Optimize model training processes for distributed computing environments.
Implement efficient inference pipelines for production deployment.','Collaborate with the engineering team to integrate new models into existing infrastructure.
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SDE 2 - Backend (4+ YOE)
SiteRecon is a mapping software empowering landscaping pros to deliver exceptional customer experiences from sales to renewal, boosting efficiency and growth.
Education Requirements:
Graduated in 2021 or before
Experience Requirements:
4+ YOE in the industry, excluding any career breaks
Other Requirements:
Python or Java proficiency is a MUST
Should be able to join in 15 days once the offer letter is released
Responsibilities:
Owning entire code bases, improving them over time, and killing tech debts
Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. Isn't that what complete ownership stands for?
You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software.
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Lead AI Engineer, Platform
Tribe AI builds custom AI solutions for enterprises, accelerating delivery from idea to production in months and ensuring real business value.
Benefits:
Strategic Impact
Technical Excellence
Engineering Leadership
Cross-Project Exposure
Innovation-First Environment
Experience Requirements:
5+ years of experience building production-level AI solutions
Strong experience designing and implementing reusable systems, modules, and components
Hands-on experience with modern AI/ML technologies, including LLMs, RAG, and agent systems
Experience supporting and mentoring other engineers in technical implementation
Strong communication skills with the ability to explain complex technical concepts to diverse audiences
Other Requirements:
Experience working in a consulting or services environment with client-deployed solutions
Proven ability to balance technical excellence with practical business outcomes
Experience working with distributed teams across multiple projects
Responsibilities:
Maintain, enhance, and expand our foundational codebase
Support project teams in effectively utilizing our platform components
Identify opportunities to incorporate successful project implementations back into the platform
Proactively address bugs, performance issues, and feature gaps in the platform
Reduce barriers to productivity by creating training materials and documentation for platform components
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Technical Lead - Talent Admissions
Tribe AI builds custom AI solutions for enterprises, accelerating delivery from idea to production in months and ensuring real business value.
Benefits:
Shape the future of AI talent operations at a growing AI consultancy
Work with exceptional technical talent across various AI specializations
Drive innovation in how we identify, vet, and deploy technical expertise
Contribute to the strategic impact of enterprise AI adoption
Experience Requirements:
5+ years of experience in engineering management or technical leadership roles
Strong technical background with recent hands-on experience in software development
Background in AI/ML engineering or related technical fields
Experience in building LLM-based agentic systems
Experience in technical interviewing and candidate assessment
Other Requirements:
Track record of building and managing high-performing technical teams
Excellent communication and relationship-building skills
Experience in consulting or professional services environments
Familiarity with talent operations
Experience with process automation and tool development
Responsibilities:
Design and implement robust technical assessment frameworks to evaluate candidates' skills and expertise
Conduct in-depth technical interviews to validate candidates' capabilities and experience
Collaborate with delivery teams to understand project requirements and identify the right technical profiles
Build and maintain strong relationships with talent in our network
Drive automation initiatives to streamline talent sourcing, vetting, and staffing processes
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Senior Full Stack Engineer
Unwrap is a customer intelligence platform that proactively uncovers what matters most from customer feedback, enabling teams to build products people love.
Benefits:
Offers Equity
Ground floor impact at a seed-stage startup with tremendous latitude over technical strategy and approach
Significant, potentially life-changing equity
Report directly to a founder of the company
Ability to rapidly advance your career alongside company growth
Experience Requirements:
You have 4+ years experience as a software engineer
You have hands-on experience working on frontend and backend software systems.
You've demonstrated significant impact for your team and your organization.
Other Requirements:
You pride yourself on developing high quality product that solve real customer problems.
You are first and foremost a builder and are excited about the idea of spending 80%+ of your time actively developing software.
You own what you build and take pride in shipping robust high quality software.
You're not afraid of ambiguous product requirements.
You're comfortable meeting with customers.
Responsibilities:
You’ll own and deliver major customer-facing components end-to-end.
This includes understanding customer needs, helping compile sprint requirements, and ultimately shipping core product features.
You’ll get exposure to all aspects of the company, from sales to marketing to customer success, but you’d focus primarily on designing and building user-facing tools.
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Senior Full Stack Engineer
Unwrap is a customer intelligence platform that proactively uncovers what matters most from customer feedback, enabling teams to build products people love.
Benefits:
Offers Equity
Ground floor impact at a seed-stage startup with tremendous latitude over technical strategy and approach
Significant, potentially life-changing equity
Report directly to a founder of the company
Ability to rapidly advance your career alongside company growth
Experience Requirements:
You have 4+ years experience as a software engineer
You have hands-on experience working on frontend and backend software systems.
You've demonstrated significant impact for your team and your organization.
Other Requirements:
You pride yourself on developing high quality product that solve real customer problems.
You are first and foremost a builder and are excited about the idea of spending 80%+ of your time actively developing software.
You own what you build and take pride in shipping robust high quality software.
You're not afraid of ambiguous product requirements.
You're comfortable meeting with customers.
Responsibilities:
You’ll own and deliver major customer-facing components end-to-end.
This includes understanding customer needs, helping compile sprint requirements, and ultimately shipping core product features.
You’ll get exposure to all aspects of the company, from sales to marketing to customer success, but you’d focus primarily on designing and building user-facing tools.
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Full Stack Engineer
Unwrap is a customer intelligence platform that proactively uncovers what matters most from customer feedback, enabling teams to build products people love.
Benefits:
Offers Equity
Ground floor impact at a seed-stage startup with tremendous latitude over technical strategy and approach
Significant, potentially life-changing equity
Report directly to a founder of the company
Ability to rapidly advance your career alongside company growth
Experience Requirements:
You have 2+ years experience as a software engineer
You have hands-on experience working on frontend and backend software systems.
Other Requirements:
You pride yourself on developing high quality product that solve real customer problems.
You are first and foremost a builder and are excited about the idea of spending 80%+ of your time actively developing software.
You own what you build and take pride in shipping robust high quality software.
You're not afraid of ambiguous product requirements.
You're comfortable meeting with customers.
Responsibilities:
You’ll own and deliver major customer-facing components end-to-end.
This includes understanding customer needs, helping compile sprint requirements, and ultimately shipping core product features.
You’ll get exposure to all aspects of the company, from sales to marketing to customer success, but you’d focus primarily on designing and building user-facing tools.
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Senior Software Engineer
Humanforce is an all-in-one Human Capital Management (HCM) suite built for frontline and flexible workforces, simplifying scheduling, optimising costs, and automating compliance.
Benefits:
A flexible working environment
The opportunity to be part of a fast-growing tech company
A focus on development with access to Go1
Paid parental leave and Quarterly Wellbeing Days
Employee talent referral scheme (know great people, be rewarded)
Experience Requirements:
5+ years of experience as a Software Engineer, ideally at a senior level.
Experience with: .NET framework (.NET Core preferred) and C#
JavaScript (TypeScript/Node)
AWS Cloud and AWS stack
Web development frameworks and practices
Other Requirements:
Strong QA principles, including unit and integration testing
Integration projects involving 3rd party APIs
Cloud-based development (AWS preferred)
Managing production issues and troubleshooting distributed systems
Proven experience managing complex releases across multiple cloud environments.
Responsibilities:
Write maintainable, high-quality, and easy-to-read code across our services, contributing to the team M-s delivery of features in an Agile environment.
Collaborate with teammates to design and implement architectural approaches that integrate our product suite in enterprise environments.
Work alongside team members on complex challenges, supporting each other with constructive code reviews and knowledge sharing.
Monitor system performance and contribute to solutions for scaling, security, and evolving business needs.
Strengthen our codebase by developing robust Unit, Integration, and UI Automation tests.
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Sr. AI Data Engineer
Turnitin is an AI writing detection solution for educators, reliably distinguishing between AI- and human-written text, specialized for student writing and academic integrity.
Benefits:
Remote First Culture
Health Care Coverage*
Education Reimbursement*
Competitive Paid Time Off
4 Self-Care Days per year
Experience Requirements:
At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D
Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt)
Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma)
Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines
Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex)
Other Requirements:
Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams
Responsibilities:
AI Data Infrastructure & Pipeline Management for Applied AI: Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training. Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.
Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers.
Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.
AI R&D Support: Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies. Contribute to exploratory data initiatives that uncover insights from Turnitin's extensive data resources.
Communication: Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.
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Member of Technical Staff - Data Platform Lead
Basis is an AI agent platform specifically designed for accountants, providing intelligent systems that learn, reason, and take action to automate complex accounting workflows.
Benefits:
Competitive cash and equity compensation
Equity plan and benefits program
Experience Requirements:
5-10 years of designing and building data pipelines
Specific experience with accounting and file integrations is a plus
Other Requirements:
First principles reasoner
Proven leadership capabilities
Interdisciplinary and collaborative mindset
Strong company-building ethos
Full-time in-office commitment (NYC, 5 days a week)
Responsibilities:
Design, build, and maintain the Data Platform (pipelines, integrations, data models)
Integrate with accounting systems, file systems, and accountant tooling
Recruit and build out the Data Platform team
Provide technical direction and set the team's roadmap
Help shape early engineering culture and scale the engineering team
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Principal CPE Engineer (GCP)
Mozn is a pioneering AI company that specializes in developing advanced AI products and solutions, tailored for the MENA market, empowering enterprises with data-driven insights.
Benefits:
You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
Experience Requirements:
10+ years in cloud engineering, with at least 5+ years of hands-on GCP architecture and implementation.
Proven expertise in GCP IAM, including custom roles, service accounts, and policy troubleshooting.
Experience implementing JIT access workflows for production and sensitive systems.
Experience designing and enforcing separation of authentication and authorization in cloud access control.
Demonstrated ability to design and implement advanced networking and network security solutions, including hybrid connectivity to on-premises.
Other Requirements:
Hands-on expertise in implementing and managing WAF solutions.
Demonstrated ability to manage secure environments for multiple business lines in a single GCP organization.
Hands-on experience with secure workload migrations to GCP.
Willingness and capability to expand into multi-cloud and Kubernetes environments.
Expert-level knowledge of GCP networking (VPC, Shared VPC, Cloud Interconnect, VPN, firewall rules, private service connect, service perimeters).
Expertise in WAF policy creation, tuning, and integration with GCP and hybrid application stacks.
Proficiency with Terraform and automation scripting (Python, Bash, Go).
Familiarity with GCP security tools (Security Command Center, Cloud Armor, IAM Recommender).
Understanding of compliance frameworks (PCI-DSS, ISO 27001, SOC 2, NIST) in financial or regulated industries.
Knowledge of Kubernetes security concepts and containerized workload protection.
Strong communication, stakeholder management, and problem-solving abilities.
GCP Professional Cloud Architect or Professional Cloud Security Engineer certification.
Experience with BeyondCorp Enterprise or Access Context Manager for Zero Trust architectures.
Exposure to MSSP oversight, including detection capability testing and SLA verification.
Experience integrating GCP identity with Keycloak, Azure AD, or Okta.
Knowledge of hybrid and multi-cloud security architectures.
Experience in securing Kubernetes workloads and service meshes.
Responsibilities:
Design, implement, and manage secure, scalable GCP environments for multiple business lines with compliance and security boundaries.
Architect network segmentation, private connectivity, hybrid connectivity to on-premises (e.g., Cloud Interconnect, VPN), and service perimeters to enforce least privilege and data protection.
Implement advanced network security controls, including firewall rules, DDoS protection, intrusion detection/prevention, secure routing, and WAF policy enforcement.
Build and maintain robust IAM strategies, including fine-grained roles, service accounts, and workload identities.
Implement and manage Just-In-Time (JIT) access models using GCP-native tools (e.g., Access Context Manager, IAM Conditions) or third-party solutions.
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Cloud Platforms Engineering Manager
Mozn is a pioneering AI company that specializes in developing advanced AI products and solutions, tailored for the MENA market, empowering enterprises with data-driven insights.
Benefits:
You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
Education Requirements:
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
Experience Requirements:
10+ years of experience in Cloud Engineering, Platform Engineering, or Infrastructure roles.
3+ years of leadership experience managing platform or cloud engineering teams.
Proven experience running production-grade Kubernetes environments and managing cloud-native applications.
Other Requirements:
Deep expertise in cloud platforms (OCI, AWS, Azure, GCP).
Strong hands-on experience with Kubernetes and its ecosystem (Helm, Operators, Service Mesh).
Proficiency in Infrastructure-as-Code (Terraform, Pulumi, etc.).
Experience operating databases and backing services (MySQL, PostgreSQL, Redis, RabbitMQ, etc.).
In-depth knowledge of cloud security practices, including IAM, network security, and infrastructure hardening.
Familiarity with CI/CD pipelines and developer productivity tooling.
Strong leadership, collaboration, and communication skills.
Ability to align technical strategy with business objectives and drive cross-functional initiatives.
Knowledge of security compliance frameworks (SOC 2, ISO 27001) in cloud environments.
Demonstrated success in scaling platform teams and managing high-growth environments.
Responsibilities:
Lead the design, implementation, and lifecycle management of scalable, secure, and highly available cloud infrastructure.
Embed security best practices across infrastructure, ensuring compliance with internal policies and industry standards.
Own the deployment, scaling, and management of Kubernetes clusters across multiple environments.
Manage shared backing services such as MySQL, PostgreSQL, Redis, and message brokers.
Manage, mentor, and grow a high-performing cloud platforms team.
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Senior AEM Architect
OneTrust Data Subject Request Automation fully automates DSR fulfillment, including intake, identity verification, data discovery, deletion, and secure response.
Benefits:
comprehensive healthcare coverage
flexible PTO
equity RSUs
annual performance bonus opportunities
retirement account support
Education Requirements:
Bachelor’s Degree in Computer Engineering, Web Development, Computer Science or equivalent experience
Experience Requirements:
A strong Java/J2EE background in AEM back-end development (preferably Java 11)
3+ years of development experience with AEM as a Cloud Service, including at least 1-2 full cycle AEMaaCS projects for high-volume, content heavy web sites or applications
5+ years of strong web content management experience with AEM
Experience with integrating AEMaaCS/AEM 6.3+ with other products and vendors via APIs and other standard methodologies
Experience with Java Content Repository (API) suite, Sling web framework and Apache Felix OSGi framework, and DAM
Other Requirements:
An innovator
Someone who understands design and systems, but can speak to the business
Curious
Experience gathering complex requirements from multiple stakeholder groups and translating into architecture and development tasks
Experience with configuration planning, testing, and change management
Responsibilities:
Act as a liaison between the business and the development teams, collecting requirements and creating solution design that allows the development team to deliver efficiently.
Develop modern user experiences for customer-facing web properties that are progressive and responsive
Build experiences across a broad range of core technologies, including HTML, CSS, JavaScript, and Java
Take initiative to come up with solutions for multiple problems, such as development, risk, scope/budget, security, and other challenges
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