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Join Our TeamAt insitro, we are at the forefront of revolutionizing drug development through innovative imaging-based phenotyping of in-vitro biology. Our machine learning algorithms extract clinically significant insights from the extensive datasets we generate internally.As a Senior Machine Learning Scientist specializing in Imaging, you will craft advanced ML-driven computer vision pipelines to uncover insights regarding disease mechanisms from various microscopy techniques. Collaborating with a dynamic team of life scientists, software engineers, computational biologists, and fellow machine learning experts, your work will be pivotal in identifying therapeutic targets and creating highly effective, low-toxicity drugs.Joining our fast-growing biotech startup, you will have the opportunity to impact multiple promising pre-clinical drug targets, particularly in areas like ALS and metabolic diseases. This is an exciting time for insitro, offering numerous avenues for professional growth and influence. You will work closely with an exceptionally talented team, acquire diverse skills, and play a key role in shaping our culture, strategic focus, and outcomes.This position reports directly to the Director of Imaging, Cellular Machine Learning, and requires a hybrid work arrangement with at least three days per week in our South San Francisco headquarters. Be a part of our mission to make a meaningful difference in patients' lives!

Join our dynamic team as a Site Reliability Engineer (SRE) / AI Platform DevOps Engineer at Endava! In this hands-on role, you will take charge of infrastructure provisioning, CI/CD automation, telemetry pipelines, and deployment processes for our AI-driven services, agents, and orchestration systems.This SRE-focused, infrastructure-centric position aims to ensure that our AI systems in production are:ReliableObservableScalableSecureCost-effectiveSafe for deployment and operationIn this role, you will be pivotal in developing and managing the foundational platform that allows our AI services to operate efficiently and securely at scale.Key Responsibilities:1. Infrastructure Provisioning & AutomationDesign and oversee cloud infrastructure utilizing Infrastructure as Code (Terraform or equivalent)Provision and sustain Kubernetes clusters along with supporting servicesAutomate environment setups across development, staging, and productionManage networking, IAM, secrets, storage, and compute scalingEnsure high availability, resilience, and disaster recovery preparedness2. CI/CD & Deployment EngineeringConstruct and uphold CI/CD pipelines for:AI servicesAgent frameworksOrchestratorsModel artifactsImplement automated testing and reliability validation checkpointsFacilitate blue/green and canary deploymentsEstablish safe rollback mechanisms for services and modelsIntegrate reliability checks and health monitoring into deployment workflows3. Model & Agent Deployment GovernancePackage, version, and deploy models in containerized environmentsManage model artifact storage and promotion across environmentsMonitor model performance and detect degradationSupport retraining cycles and model refresh workflowsEnsure safe rollout and rollback of model versionsImplement monitoring for inference latency, throughput, and costs4. Data Pipelines for Telemetry & ObservabilityDesign and maintain data pipelines to ingest, clean, and process high-volume telemetry (logs, metrics, traces, events)Enable structured telemetry for AI and orchestration workflowsGuarantee reliability for real-time and batch processingOptimize pipeline scalability and performance5. AIOps Platform IntegrationAssess, deploy, and integrate AIOps platformsEnhance anomaly detection, correlation, and alert intelligenceMinimize alert noise and improve signal qualityIncorporate AIOps outputs into operational workflows

Join Our Innovative TeamAt insitro, we are on a mission to revolutionize drug development. With a notable decline in the productivity of global drug discovery, we harness advanced machine learning techniques alongside cutting-edge technologies to address complex diseases that impact millions annually. Our goal is to fundamentally change the pace and effectiveness of how new treatments are identified and developed.We invite passionate and driven interns to become a part of our computing team as Machine Learning Scientists for the Summer 2026 cohort. This opportunity allows you to collaborate closely with a mentor to develop and implement machine learning methods, all while analyzing extensive datasets from various biological modalities over an immersive 11-12 week program.Our headquarters are located in South San Francisco, offering a hybrid working schedule or the possibility to work remotely, depending on team needs. As part of a diverse team, you will engage across numerous fields, including imaging, omics, statistical genetics, pan-modality therapeutic discovery, clinical research, and research software engineering.Areas of FocusComputational Biology: Utilize publicly available single-cell transcriptomics resources to derive insights into the disease mechanisms pertinent to our therapeutic areas.Omics & Imaging Data Methods: Innovate and deploy state-of-the-art ML approaches to integrate large-scale multi-modal phenotypic datasets.Statistical and Translational Genetics: Create workflows for post-GWAS analyses, including fine-mapping and deep dives into translational genetics to enhance gene exploration from our discovery initiatives.Integrative Phenotyping: Design ML models to infer disease-relevant phenotypes from high-content clinical imaging datasets, such as MRI and PET-CT.

Join our team as a Site Reliability Engineer (SRE) / AI Platform DevOps Engineer where you will take charge of infrastructure provisioning, CI/CD automation, telemetry pipelines, and production deployment for AI-driven services, agents, and orchestration systems.This role is heavily focused on SRE and infrastructure, emphasizing the reliability, observability, scalability, security, cost-efficiency, and safety of AI systems operating in production environments. Your expertise will be crucial in building and maintaining the platform foundation that enables AI services to run effectively and safely at scale.Key Responsibilities:1. Infrastructure Provisioning & Automation:Design and manage cloud infrastructure utilizing Infrastructure as Code (Terraform or similar).Provision and maintain Kubernetes clusters and related services.Automate environment setup across development, staging, and production environments.Manage networking, IAM, secrets, storage, and compute scaling.Ensure high availability, resilience, and disaster recovery preparedness.2. CI/CD & Deployment Engineering:Develop and sustain CI/CD pipelines for:AI servicesAgent frameworksOrchestratorsModel artifactsImplement automated testing and reliability validation checkpoints.Facilitate blue/green and canary deployments.Develop safe rollback procedures for services and models.Integrate reliability and health checks into deployment processes.3. Model & Agent Deployment Governance:Package, version, and deploy models in containerized environments.Oversee model artifact storage and promotion between environments.Monitor model performance and identify degradation.Support integration of retraining cycles and model refresh processes.Ensure safe rollout and rollback of model versions.Implement monitoring for inference latency, throughput, and cost.4. Data Pipelines for Telemetry & Observability:Design and maintain data pipelines for ingesting, cleaning, and processing high-volume telemetry (logs, metrics, traces, events).Enable structured telemetry for AI and orchestration workflows.Guarantee reliability for both real-time and batch processing.Optimize pipeline scalability and performance.5. AIOps Platform Integration:Evaluate, deploy, and integrate AIOps platforms.Enhance anomaly detection, correlation, and alert intelligence.Minimize alert noise while improving signal quality.Embed AIOps outputs into operational workflows to enhance efficiency.

We are looking for a proactive Site Reliability Engineer (SRE) / AI Platform DevOps Engineer to lead the charge in infrastructure provisioning, CI/CD automation, telemetry pipelines, and deploying AI-driven services, agents, and orchestration systems into production.This role is heavily focused on SRE practices and infrastructure management, ensuring that our AI systems in production maintain:ReliabilityObservabilityScalabilitySecurityCost-effectivenessSafe operations and deploymentsYour contributions will be vital in establishing and upholding the foundational platform that allows AI services to function securely and efficiently at a large scale.Key Responsibilities1. Infrastructure Provisioning & AutomationDesign and manage cloud infrastructure utilizing Infrastructure as Code (Terraform or equivalent)Provision and maintain Kubernetes clusters along with their supporting servicesAutomate the environment setup across development, staging, and productionOversee networking, IAM, secrets, storage, and compute scalingGuarantee high availability, resilience, and readiness for disaster recovery2. CI/CD & Deployment EngineeringDevelop and sustain CI/CD pipelines for:AI servicesAgent frameworksOrchestratorsModel artifactsImplement automated testing and reliability validation gatesFacilitate blue/green and canary deploymentsEstablish secure rollback mechanisms for services and modelsIntegrate reliability and health checks within deployment workflows3. Model & Agent Deployment GovernancePackage, version, and deploy models into containerized environmentsOversee model artifact storage and promotion across different environmentsMonitor model performance and identify degradationAssist in retraining cycles and model refresh workflowsEnsure safe rollout and rollback of model versionsImplement monitoring for inference latency, throughput, and cost4. Data Pipelines for Telemetry & ObservabilityDesign and maintain data pipelines for high-volume telemetry ingestion, cleaning, and processing (logs, metrics, traces, events)Facilitate structured telemetry for AI and orchestration workflowsEnsure reliability for both real-time and batch processingOptimize the scalability and performance of pipelines5. AIOps Platform IntegrationAssess, deploy, and integrate AIOps platformsEnhance anomaly detection, correlation, and alert intelligenceMinimize alert noise while enhancing signal qualityIntegrate AIOps outputs into operational workflows

We are looking for a proactive Site Reliability Engineer (SRE) / AI Platform DevOps Engineer to take charge of infrastructure provisioning, CI/CD automation, telemetry pipelines, and the deployment of AI-driven services, agents, and orchestration systems.This role is heavily focused on SRE and infrastructure management, ensuring that AI systems in production are:ReliableObservableScalableSecureCost-efficientSafe for deployment and operationYour contribution will be vital in constructing and sustaining the foundational platform that allows AI services to function safely and effectively at scale.Key Responsibilities1. Infrastructure Provisioning & AutomationDesign and manage cloud infrastructure using Infrastructure as Code (Terraform or similar)Provision and maintain Kubernetes clusters and associated servicesAutomate environment setups across development, staging, and productionManage networking, IAM, secrets, storage, and compute scalingEnsure high availability, resilience, and readiness for disaster recovery2. CI/CD & Deployment EngineeringBuild and maintain CI/CD pipelines for:AI servicesAgent frameworksOrchestratorsModel artifactsImplement automated testing and reliability validation gatesFacilitate blue/green and canary deploymentsEstablish safe rollback mechanisms for services and modelsIntegrate reliability and health checks into deployment workflows3. Model & Agent Deployment GovernancePackage, version, and deploy models into containerized environmentsManage model artifact storage and transitions across environmentsMonitor model performance and detect degradationSupport retraining cycles and model refresh workflowsEnsure safe rollout and rollback of model versionsImplement monitoring for inference latency, throughput, and cost4. Data Pipelines for Telemetry & ObservabilityDesign and maintain data pipelines to ingest, clean, and process high-volume telemetry (logs, metrics, traces, events)Enable structured telemetry for AI and orchestration workflowsEnsure reliability for both real-time and batch processingOptimize pipeline scalability and performance5. AIOps Platform IntegrationEvaluate, deploy, and integrate AIOps platformsEnhance anomaly detection, correlation, and alert intelligenceMinimize alert noise and enhance signal qualityIncorporate AIOps outputs into operational workflows

Join our dynamic team as a Site Reliability Engineer (SRE) / AI Platform DevOps Engineer at Endava! In this pivotal role, you will be responsible for infrastructure provisioning, CI/CD automation, telemetry pipelines, and the deployment of AI-powered services and orchestration systems.This is an SRE-focused, infrastructure-first position dedicated to maintaining the reliability, observability, scalability, security, cost-efficiency, and safety of our AI systems in production.Your contributions will be vital in constructing and sustaining the foundational platform that facilitates the safe and efficient operation of AI services at scale.Key Responsibilities:1. Infrastructure Provisioning & AutomationDesign and manage cloud infrastructure using Infrastructure as Code (Terraform or similar).Provision and maintain Kubernetes clusters and associated services.Automate the setup of environments across development, staging, and production.Oversee networking, IAM, secrets, storage, and compute scaling.Ensure high availability, resilience, and disaster recovery readiness.2. CI/CD & Deployment EngineeringDevelop and maintain CI/CD pipelines for AI services, agent frameworks, orchestrators, and model artifacts.Implement automated testing and reliability validation gates.Facilitate blue/green and canary deployments.Create safe rollback mechanisms for services and models.Integrate reliability and health checks into deployment workflows.3. Model & Agent Deployment GovernancePackage, version, and deploy models in containerized environments.Manage model artifact storage and promote across environments.Monitor model performance and identify degradation.Support retraining cycles and model refresh workflows.Ensure safe rollout and rollback of model versions.Implement monitoring for inference latency, throughput, and cost.4. Data Pipelines for Telemetry & ObservabilityDesign and maintain data pipelines for ingesting, cleaning, and processing high-volume telemetry (logs, metrics, traces, events).Enable structured telemetry for AI and orchestration workflows.Ensure reliability for both real-time and batch processing.Optimize the scalability and performance of data pipelines.5. AIOps Platform IntegrationAssess, deploy, and integrate AIOps platforms.Enhance anomaly detection, correlation, and alert intelligence.Minimize alert noise and enhance signal quality.Integrate AIOps outputs into operational workflows.

Endava is on the lookout for a proactive Site Reliability Engineer (SRE) / AI Platform DevOps Engineer to take charge of infrastructure provisioning, CI/CD automation, telemetry pipelines, and the deployment of AI-powered services, agents, and orchestration systems.This role is infrastructure-intensive and SRE-focused, dedicated to maintaining the reliability, observability, scalability, security, cost-efficiency, and safe operational standards of AI systems in production.In this position, you will be instrumental in establishing and sustaining the foundational platform that allows AI services to function securely and efficiently at scale.Key Responsibilities:Infrastructure Provisioning & Automation:Design and manage cloud infrastructure using Infrastructure as Code (Terraform or similar).Provision and maintain Kubernetes clusters and associated services.Automate the setup of environments across development, staging, and production.Oversee networking, IAM, secrets, storage, and compute scaling.Guarantee high availability, resilience, and disaster recovery readiness.CI/CD & Deployment Engineering:Develop and maintain CI/CD pipelines for AI services, agent frameworks, orchestrators, and model artifacts.Implement automated testing and reliability validation gates.Facilitate blue/green and canary deployments.Create safe rollback mechanisms for services and models.Incorporate reliability and health checks into deployment workflows.Model & Agent Deployment Governance:Package, version, and deploy models into containerized environments.Manage model artifact storage and promotion across environments.Monitor model performance and detect degradation.Support retraining cycles and model refresh workflows.Ensure safe rollout and rollback of model versions.Implement monitoring for inference latency, throughput, and cost.Data Pipelines for Telemetry & Observability:Design and maintain data pipelines to ingest, clean, and process high-volume telemetry (logs, metrics, traces, events).Enable structured telemetry for AI and orchestration workflows.Ensure reliability for real-time and batch processing.Optimize pipeline scalability and performance.AIOps Platform Integration:Evaluate, deploy, and integrate AIOps platforms.Enhance anomaly detection, correlation, and alert intelligence.Minimize alert noise and improve signal quality.Integrate AIOps outputs into operational workflows.

Learn more. Do more. Build your career. That's what an internship at Dura Vermeer is all about.Finally, you can apply your theoretical knowledge in a practical setting: you’re excited, and so are we! As an intern at Dura Vermeer Railinfra, you will contribute to railway projects where your input is valuable both literally and figuratively.Your Internship ExperienceWe have internship opportunities available year-round across various projects and offices in the Netherlands, including locations near you. Whether you are studying civil engineering at the MBO, HBO, or WO level, we will work together to identify where your talents can shine, whether in work preparation, execution, design, calculation, project management, or even a graduation assignment. You will have the responsibility and the opportunity to shape your internship alongside your supervisor.At Dura Vermeer, you will learn from experienced colleagues while also bringing your own ideas to the table. You will be fully integrated into the team, gain trust, and simultaneously build your network within the infrastructure sector. This way, you will not only enhance your studies but also your career.Why Choose Dura Vermeer?Dura Vermeer is a family-owned business and an independent construction company active in residential construction, commercial construction, infrastructure, and technology in the Netherlands. Since 1855, our independence and long-term continuity have formed the basis of our strategy. With an annual turnover of approximately €1.8 billion and over 3,000 employees, we are among the top in the Dutch construction sector. Together, we realize beautiful projects—iconic and sometimes everyday projects that provide new answers to societal challenges. We guarantee the best solutions for tomorrow and make a difference for the Netherlands, especially in the long term. We have strong ambitions, and we can only realize them thanks to our people. As a top employer, we are committed to ensuring that you choose Dura Vermeer every day, that you feel as proud of what we create as we do, and that everyone who works with us is happy, feels safe, and can express themselves. Here, you can be yourself and achieve the best version of yourself. This is where you belong Your base will be our brand new sustainable office in Utrecht, but you will primarily be found at our project sites along the railway across the Netherlands. We work on beautiful, complex, and innovative rail infrastructure projects and celebrate our successes together. And it gets even better, as our projects have a significant impact on society. Working at Dura Vermeer Railinfra means you will ensure...

Embark on a Thrilling Sales Journey with Easygenerator in the EdTech SectorStep into a rewarding position with a groundbreaking e-learning software firm as a Global Business Development Representative. Become a vital part of our high-performing international team.At Easygenerator, we are transforming the e-learning landscape with our award-winning tool. Join us in revolutionizing knowledge sharing and embrace new challenges head-on.Your AdvantagesCareer Advancement: We offer a structured career path for our Business Development Representatives to transition into roles such as Customer Success, Account Executive, and Leadership after excelling in their current position. Many team members have successfully made the leap from BDR to AE within 12–18 months!Diverse International Team: Join a vibrant, multicultural team representing over 40 nationalities in a fast-paced scale-up where your contributions will have an immediate impact.Comprehensive Training: Participate in a 3-week onboarding program covering essential sales techniques, product insights, and industry knowledge. Continuous coaching and development opportunities will be provided to ensure your ongoing success!AI-Driven Environment: At Easygenerator, we prioritize AI, not only in our product offerings but also in our internal operations. You will gain hands-on experience with cutting-edge AI technologies and learn how to leverage them for smarter work practices, equipping you with a future-proof skill set that aligns with the evolving tech landscape.Flexible Work Policy: Enjoy the benefits of a hybrid work environment.Location: Cape TownWorking Hours: Eastern Standard Time (EST) – 02:00 p.m. to 11:00 p.m. (your local time)Your ResponsibilitiesActively identify and connect with key decision-makers through various outreach methods.Conduct cold calls, send tailored cold emails, and initiate messaging sequences on LinkedIn to generate interest and drive growth.Assess leads by understanding their requirements, challenges, and objectives.Develop and prioritize a strategic list of target accounts within a designated territory.

About Standard BotsAt Standard Bots, we are revolutionizing the field of robotics with our cutting-edge AI-powered six-axis robotic arms, all proudly designed and manufactured in the USA. Our mission is to democratize industrial automation, making it accessible and affordable for manufacturers of all sizes. We take a vertically integrated approach, developing our own hardware, software, vision systems, and electronics, enabling businesses to deploy robots without the need for specialized expertise or coding skills. Our innovative solutions are trusted by a diverse range of organizations, from independent machine shops to prestigious institutions like NASA and Lockheed Martin. As the largest industrial robotics company in the U.S. by units shipped, we are proud to be one of the fastest-growing companies in the industry. LocationThis position is based onsite in our South East PA facility, five days a week.Role OverviewAs a vital member of our Implementation team, you will play a crucial role in bringing Standard Bots' integrated turn-key systems to life. Your responsibilities will include assembling and wiring robotic cells in our workshop, traveling to client sites to assist with machine installations alongside Automation Engineers, and serving as the primary point of contact for systems requiring attention post-deployment. You will thrive in both workshop settings and factory environments, taking pride in your meticulous work while adhering to safety protocols and communicating effectively when challenges arise.Key ResponsibilitiesShop Build & Wiring• Assemble robotic automation cells based on mechanical drawings and BOMs (Bill of Materials), including framing, fixture mounting, and component installation.• Wire electrical panels, junction boxes, and field devices according to engineering schematics and NEC standards.• Route cables, conduits, and pneumatic lines within automation cells as per design specifications.• Conduct pre-shipment checks, including continuity testing, sensor verification, and documentation of deviations.Machine Installation• Travel to client locations to install robotic automation systems in collaboration with Automation Engineers.• Coordinate equipment rigging, anchoring, and utility connections with customer facility teams.• Commission mechanical and electrical systems onsite, including equipment integration, alignment, cable dressing, and sensor setup.• Assist with Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT) processes, ensuring all installation tasks are completed satisfactorily.First-Line Support• Be the first point of contact for clients when deployed systems require assistance.

Kickstart Your Sales Career with Easygenerator in the EdTech SectorEmbark on a rewarding journey as a Global Business Development Representative at Easygenerator, a trailblazer in the e-learning software industry. Join our high-performing international team and contribute to our mission of revolutionizing education.As a rapidly growing company, Easygenerator is transforming the landscape of e-learning with our award-winning platform. We invite you to join us in reshaping knowledge sharing and tackling exciting challenges.What Awaits YouCareer Advancement: We offer a structured growth path for our BDRs to transition into positions such as Customer Success, Account Executive, and Leadership after excelling in Business Development. Several team members have transitioned from BDR to AE in just 12-18 months!Diverse International Team: Join a vibrant, global group of over 40 nationalities in a fast-paced scale-up where your contributions will make a significant difference.Comprehensive Training: Participate in an immersive 3-week onboarding program that covers essential sales techniques, product knowledge, and industry insights. You will also benefit from ongoing coaching and development opportunities to ensure your long-term success.AI-Driven Approach: At Easygenerator, we leverage artificial intelligence not only in our products but also in our operational processes. Gain hands-on experience with cutting-edge AI technologies, learn how to utilize AI for enhanced productivity, and develop a skill set that will keep you ahead in your career.Flexible Work Environment: Enjoy the advantages of a hybrid working policy.Location: Cape TownWorking Hours: Eastern Standard Time (EST) – 09:00 a.m. to 18:00 p.m. (your local time)Your ResponsibilitiesActively identify and connect with key decision-makers through various outbound channels.Execute cold calls, send tailored cold emails, and initiate LinkedIn messaging sequences to generate interest and drive growth.Assess leads by understanding their needs, pain points, and objectives.Develop and prioritize strategic target account lists within your designated territory.

About Standard BotsStandard Bots, a pioneering robotics company headquartered in New York, specializes in the design and manufacturing of AI-powered six-axis robotic arms, all produced in the United States. Our mission is to democratize industrial automation, making it accessible and cost-effective for manufacturers of all sizes. By adopting a vertically integrated model, we develop our own hardware, software, vision systems, and electronics, enabling companies to deploy our robots without the need for specialized expertise or coding skills. Our robotic solutions are trusted by a diverse range of organizations, from independent machine shops to esteemed entities like NASA and Lockheed Martin. As the largest U.S. industrial robotics firm in terms of units shipped, we are recognized as one of the fastest-growing companies in the industry. LocationThis position is based onsite at our South East PA facility, requiring in-person attendance five days a week.Role OverviewAs the Procurement and Warehouse Specialist at Standard Bots, you will serve as the operational backbone of our supply chain, ensuring the smooth functioning of our warehouse for the implementation team. Your responsibilities will include managing purchase orders from initial quote to final delivery, maintaining BOM accuracy across various projects, overseeing shipping and receiving operations, and fostering vendor relationships that strengthen our operational systems. You will thrive in a dynamic environment where priorities can shift rapidly, and your attention to detail will be crucial, as a missing component can halt production and a delayed shipment can postpone customer installations. Your organizational skills, proactive approach, and comfort in managing cross-functional processes that involve engineering, finance, and the shop floor will be key to your success.Key ResponsibilitiesOrder Placement• Generate purchase orders for mechanical components, electrical hardware, consumables, and packaging materials based on engineering requisites and inventory levels.• Monitor open purchase orders from submission to delivery; communicate with vendors regarding lead times, delays, and discrepancies.• Coordinate urgent and expedited orders to meet project timelines and customer delivery commitments.• Reconcile invoices against purchase orders and receipts, identifying and addressing pricing or quantity discrepancies as needed.Bills of Materials Management• Ensure accurate and current bills of materials for active projects.• Collaborate with the engineering team to integrate ECOs (engineering change orders) and design updates into BOMs promptly.• Conduct audits of BOM data for completeness, part number accuracy, and alignment with physical inventory.

Embark on a Dynamic Sales Career with Easygenerator in the EdTech SectorStep into an exhilarating position with an innovative e-learning software leader in the EdTech industry as a Global Business Development Representative.Easygenerator, a pioneering Dutch firm, is transforming e-learning with our acclaimed tools. Join us in redefining knowledge sharing and embrace new challenges.What Awaits You?Career Advancement: We offer a structured growth trajectory for our BDRs, progressing towards roles such as Account Executive, Customer Success, and Leadership following mastery of the Business Development role.Global Team Environment: Become part of a vibrant, international team (40+ nationalities) within a rapidly expanding scale-up where your contributions can make a significant impact.Comprehensive Training: Engage in a 3-week onboarding program focusing on sales techniques, product knowledge, and industry insights. Benefit from ongoing coaching and development opportunities for your continued success.AI-Driven Company: Easygenerator is an AI-first organization, reflected in both our product offerings and internal operations. Gain hands-on experience with cutting-edge AI technologies, learn to leverage AI for increased productivity, and develop a future-proof skill set that positions you at the forefront of technological advancement.Flexible Work Policy: Enjoy a hybrid working model with 3 days on-site and 2 days of remote work.Your Responsibilities:Actively identify and engage key decision-makers through various outbound channels.Initiate cold calls, send tailored cold emails, and launch LinkedIn messaging campaigns to generate interest and drive our growth.Assess leads by comprehensively understanding their needs, challenges, and objectives.Develop and prioritize strategic target account lists within your assigned territory.Your Profile:A bachelor's degree or higher is required.0-2 years of pertinent work experience.Exceptional command of the English language, both spoken and written - Native Level English.A proactive attitude with a passion for sales and technology.

At Endava, we pride ourselves on being leaders in software development. Our talented developers are not only skilled in designing, building, and deploying software products across various programming languages, frameworks, and libraries but also excel in collaborating with cross-functional teams. We are dedicated to solving problems and delivering exceptional client-focused solutions.As a Senior .NET Developer at Endava, you will be at the forefront of innovation, developing cutting-edge products and cloud solutions to address diverse challenges. You will play a pivotal role in system design and architecture, ensuring impactful outcomes.Key Responsibilities:Design, estimate, and implement technical solutions for applications with medium to high complexity.Engage actively in all stages of the application development lifecycle.Collaborate with stakeholders to clarify requirements, processes, architecture, and priorities.Advocate for best practices and standards in the IT industry (such as DevOps) to produce high-quality software.Identify opportunities for improvement and address risks/issues related to development.Review and provide feedback on the work of development team members.Continuously learn and apply new technologies and tools relevant to the project.Participate in internal and external tech events and communities.Share your knowledge and experiences to foster a learning environment.

About Standard BotsStandard Bots is a pioneering robotics company based in New York, specializing in the design and manufacture of AI-driven six-axis robotic arms, all produced in the United States. Our mission is to democratize industrial automation, making it both accessible and cost-effective. By adopting a vertically integrated model, we develop our own hardware, software, vision systems, and electronics. This approach empowers manufacturers of all sizes to implement robotics without requiring specialized knowledge or coding skills. Our robots are trusted by a diverse range of organizations, from independent machine shops to renowned entities like NASA and Lockheed Martin. Currently, we stand as the largest U.S. industrial robotics company by units shipped and one of the fastest-growing firms in the sector. LocationThis position is performed onsite five days a week at our South East PA facility.Role OverviewAs the Operations Manager, you will be the linchpin of our shop operations. You will oversee the daily functions of our build facility in South-East Pennsylvania, managing machine assembly, coordinating a team of technicians, supervising procurement processes, and ensuring that our building and equipment meet maintenance and compliance standards. You will bridge the gap between engineering plans and practical execution, comfortable in both strategic planning meetings and hands-on troubleshooting on the shop floor. You thrive in high-pressure situations, maintain rigorous organizational and safety standards, and take genuine ownership of your responsibilities. You are dedicated to creating lasting processes rather than merely reacting to challenges.What You'll DoShop & Build Operations• Oversee the daily operations of the build shop, including scheduling, floor organization, tool readiness, and team optimization.• Manage the machine build schedule in collaboration with engineering and implementation leaders, tracking progress against milestones and identifying risks early.• Ensure a safe, clean, and organized work environment, enforcing 5S standards and fostering a culture of non-negotiable safety.• Manage inventory of shop tools, equipment, and consumables, overseeing maintenance schedules and coordinating repairs.• Promote continuous improvement in build workflows, cell layouts, and assembly procedures to enhance throughput and minimize rework.Procurement & Vendor Management• Manage the end-to-end procurement process for all shop materials, hardware components, and capital equipment.• Identify, evaluate, and negotiate with vendors on pricing, lead times, and contract terms across a diverse portfolio.

At Endava, our development team stands at the forefront of innovation, crafting software solutions across various programming languages, frameworks, and libraries. Our developers thrive in collaborative environments, working closely with cross-functional teams to deliver client-centric solutions that address diverse challenges.As a Senior .NET Developer at Endava, you will play a pivotal role in developing cutting-edge products and cloud solutions aimed at solving complex issues. Your contributions will be vital in shaping system design and architecture, ensuring impactful results.Key Responsibilities:Design, estimate, and implement technical solutions for applications of medium to high complexity.Engage in all phases of the application development lifecycle.Collaborate with project stakeholders to clarify requirements, processes, architecture, and priorities.Advocate for IT industry best practices, tools, and standards (including DevOps) to develop robust software products.Identify areas for improvement and escalate risks or issues concerning development activities.Participate in peer reviews of code and contributions from team members.Stay informed about emerging technologies, practices, and tools relevant to the project.Engage in internal and external tech communities and events.Share knowledge and experiences gained through project work.

Join Standard Bots as a Field Service TechnicianAt Standard Bots, we are revolutionizing industrial automation with our cutting-edge, AI-powered six-axis robot arms, fully designed and manufactured in the United States. Our mission is to make robotics accessible and affordable for manufacturers of all sizes, allowing them to deploy automation solutions without the need for specialized expertise or coding skills. Our innovative robots are trusted by a diverse range of clients, from independent machine shops to prominent organizations such as NASA and Lockheed Martin. As the largest U.S. industrial robotics company by units shipped and one of the fastest-growing in the industry, we are excited to expand our team!Travel Requirement: This role involves up to 80% travelRole OverviewAs a Field Service Technician at Standard Bots, you will be the key technical expert ensuring our customers’ robots operate at optimal performance. You will have the opportunity to travel to client sites within your territory to install, commission, troubleshoot, and maintain our systems. Your role will encompass everything from diagnosing mechanical issues on-site to guiding customers through programming questions via video calls. You will take pride in delivering prompt and accurate solutions, maintaining thorough documentation, and fostering trust-based relationships with our clients.Key ResponsibilitiesProvide on-site technical support including diagnosis, repair, maintenance, and optimization of Standard Bots robots.Perform installations, commissioning, and system integration at customer facilities.Conduct preventive maintenance visits and safety inspections to ensure optimal robot performance.Troubleshoot mechanical, electrical, and software issues both on-site and remotely.Offer remote technical support through phone, email, and video conferencing as needed.Train customers in robot operation, programming, and basic troubleshooting procedures.Document all service activities in our CRM system, including ticket notes, parts usage, and resolution details.Manage spare parts inventory and ensure the availability of necessary tools and equipment for service calls.Collaborate with internal teams to escalate complex issues and provide feedback for product enhancements.Achieve key performance indicators (KPIs) related to ticket resolution and customer satisfaction.

About EasygeneratorEasygenerator is an innovative EdTech company dedicated to transforming the learning landscape through our acclaimed authoring tool. Trusted by industry leaders such as Kellogg’s, T-Mobile, and Siemens, we empower organizations to enhance knowledge sharing with a focus on speed, simplicity, and effectiveness.As an AI-first organization, we leverage the latest advancements in artificial intelligence across our product offerings and operational practices. Join us to gain hands-on experience with AI technology and cultivate a skillset that prepares you for the future while contributing to a dynamic, impactful product.About the RoleIn the position of Head of Insights, you will spearhead our product analytics and user research initiatives. Your main objective will be to extract profound strategic insights from data that will guide product decisions, shape our development roadmap, and enhance learner success. This role is a hands-on leadership position where you will mentor a talented analytics team and collaborate closely with product managers, designers, and engineers.Key ResponsibilitiesLead and nurture our product analytics team, ensuring the delivery of significant, actionable insights.Collaborate with cross-functional teams to cultivate a data-centric culture, establish success metrics, and develop measurement strategies.Convert data and user research findings into compelling narratives that effectively influence stakeholders.Develop and manage dashboards, KPIs, and data infrastructure for self-service and strategic analytics.Design and assess experiments and causal analyses that inform product strategy and decisions.Establish and uphold a standard tracking and event taxonomy across the product suite.Identify new avenues for data utilization.Forecast trends, analyze complex data, and communicate actionable insights to stakeholders.Oversee the user research function, embedding customer insights throughout the product development lifecycle.Create scalable processes for insight delivery, balancing immediate needs with long-term learning objectives.Mentor and develop talent in analytics and research disciplines.Promote a culture of analytics, enhancing literacy across departments and advocating for robust data governance.Champion data-informed decision-making organization-wide.

We are looking for a talented and highly skilled Senior Platform Architect to spearhead the design and implementation of our robust Azure-based SaaS platform. This platform comprises Java-based microservices, a ReactJS frontend, machine learning pipelines, and retrieval-augmented generation (RAG) components.In this pivotal role, you will collaborate closely with Java Tech Leads, Senior DevOps Engineers, Senior ML Engineers, Security teams, and business stakeholders to establish a secure, scalable, and efficient cloud-native architecture. Ensuring security is paramount in this position.Key Responsibilities:1. Platform Architecture & DesignDefine comprehensive architecture for the Azure-based SaaS platform.Design a secure, scalable microservices architecture (preferably using Java/Spring Boot).Establish cloud-native architecture patterns (12-factor app, event-driven, API-first).Create a high-availability, multi-region deployment strategy.Set platform standards for:ObservabilityLoggingMonitoringAPI gatewayService mesh (if required)2. Security Architecture (Critical Area)Design and implement Zero Trust Architecture principles.Establish secure authentication & authorization mechanisms (OAuth2, OIDC, Azure AD, RBAC, ABAC).Lead the identity and access management strategy.Ensure secure API design and protection (rate limiting, throttling, WAF, API management).Define encryption standards (in transit & at rest).Implement a secrets management strategy (Azure Key Vault).Conduct threat modeling and security architecture reviews.Ensure compliance with industry standards (ISO 27001, SOC2, GDPR, etc.).Define DevSecOps practices and establish a secure SDLC.Secure ML and RAG pipelines (data protection, prompt injection mitigation, model access control).3. Azure Cloud ArchitectureDesign and oversee:Azure Kubernetes Service (AKS)Azure App ServicesAzure API ManagementAzure Storage & Databases (SQL/Cosmos/Blob)Event Hub / Service BusAzure AI services (if applicable)Define landing zones and governance model.Implement cost optimization strategies (FinOps awareness).Design multi-tenant SaaS architecture.4. ML & RAG Platform EnablementArchitect infrastructure for:ML model training and deploymentRAG pipelines (vector databases, embeddings, LLM integration)Define data isolation and model security controls.Ensure performance, scalability, and latency optimization.Establish monitoring for ML inference & model drift.5. DevOps & Platform EngineeringWork collaboratively with DevOps on:CI/CD pipeline architecture.Infrastructure as Code (IaC) practices.