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We are looking for a highly skilled and experienced Site Reliability Engineering Team Lead to guide our SRE team, foster best practices, and ensure operational excellence across our infrastructure. Position Overview As the SRE Team Lead, you will be responsible for the technical leadership of a talented team of site reliability engineers dedicated to maintaining and improving the reliability, scalability, and performance of our critical systems and services. You will serve as a technical leader and mentor, driving strategic initiatives around automation, incident management, observability and system design while collaborating closely with engineering, operations, and product teams. Key Responsibilities • Lead, mentor, and grow a team of site reliability engineers, promoting a culture of reliability, automation, and continuous improvement. • Drive the design, implementation, and maintenance of scalable and fault-tolerant infrastructure to support high-availability services. • Oversee incident management processes, including triage, root cause analysis, and postmortems to improve system reliability and prevent recurrence. • Collaborate cross-functionally with software engineering, product, and operations teams to integrate reliability best practices into the software development lifecycle. • Define and implement operational metrics, SLIs/SLOs, and dashboards to monitor system health and drive proactive improvements. • Manage and assess the observability of critical environments proactively addressing gaps that may arise. • Oversee the release management processes, artifacts and tools that drive a repeatable software delivery lifecycle. • Champion automation efforts to reduce manual intervention, improve deployment pipelines, and optimize infrastructure management. • Lead capacity planning, disaster recovery, and performance tuning efforts. • Ensure security and compliance standards are upheld across infrastructure and operations. Qualifications • BA/BS in Computer Science, Engineering, related field, or equivalent experience. • 7+ years of experience in site reliability engineering, systems engineering, or related roles, with at least 2 years in a leadership position. • Proven experience leading and scaling high-performing engineering teams. • Deep expertise in cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker). • Strong skills in infrastructure as code tools (Terraform, Ansible, CloudFormation) and CI/CD pipelines. • Proficiency with monitoring and alerting systems (Prometheus, Grafana, ELK, Datadog). • Solid programming and scripting skills (Python, Go, Bash, or similar). • Strong understanding of distributed systems, networking, security, and databases. • Excellent leadership, communication, and collaboration skills. • Experience managing incident response and on-call rotations. Preferred • Experience working with microservices and event-driven architectures. • Familiarity with compliance frameworks such as GDPR, PCI, SOX, or SOC 2. • Background in DevOps practices and tooling Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with: Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances Up to 4% matching 401(k) Employee Stock Purchase Plan (10% share discount) Tuition reimbursement Paid time off (15 days' vacation per year, plus 2 personal days, prorated based on start date) Paid sick leave as determined by state or local ordinance, prorated based on start date Paid holidays (7 days per year, based on start date) Paid volunteer time (3 days per year, prorated based on start date) By applying, you consent to your information being transmitted to the Employer by SonicJobs. See OneMain Financial Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $180,000 - $200,000 per year A bit about us: We are a large, diversified organization with a long-standing presence across multiple industries and a strong focus on innovation and operational excellence. Our technology teams support a broad portfolio of digital platforms, data systems, and enterprise services that power business-critical operations at scale. As we continue to modernize and evolve our technology landscape, we invest in building reliable, well-integrated systems and in the people who design and support them. Collaboration, accountability, and thoughtful engineering are central to how we work. Why join us? Join a large, established organization in the middle of meaningful technology modernization. This role offers the opportunity to work on complex, enterprise-scale systems where automation, integration, and data accuracy truly matter. You'll have visibility, influence, and strong cross-functional partnership, helping shape how platforms connect and operate across the business. If you enjoy solving real problems at scale and building solutions that drive long-term impact, this is a role where your work will be seen and used. Job Details Senior Automation Engineer About the Role We are seeking a Senior Automation Engineer to help design and deliver scalable, intelligent automation across a complex enterprise environment. This role is ideal for an engineer who began their career in Cloud Engineering, Network Engineering, or Identity & Access Management (IAM) and has since expanded into automation, systems integration, and operational efficiency. This position goes beyond traditional scripting or task automation. You will work at the intersection of infrastructure, identity, cloud platforms, and service management, using automation to connect systems, reduce manual work, and improve reliability and visibility across the enterprise. A strong understanding of CMDB concepts and data relationships is critical, as automation efforts will rely heavily on accurate configuration data. Key Responsibilities Automation & Integration Design, build, and maintain automation workflows that integrate cloud platforms, network systems, identity providers, and IT service management tools Develop automation to support provisioning, deprovisioning, configuration changes, incident response, and operational workflows Create reusable automation frameworks and patterns to scale automation across teams CMDB & Service Management Leverage CMDB data to drive automation, ensuring configuration items (CIs) and relationships are accurate and actionable Partner with service management teams to improve CMDB data quality, discovery, and governance Build automations that update, validate, and reconcile CMDB records across systems Cloud, Network & Identity Enablement Automate workflows related to cloud infrastructure (AWS, Azure, GCP), networking, and identity platforms (Okta, Azure AD, AD, CyberArk, etc.) Collaborate with cloud, network, and IAM teams to standardize and automate common operational tasks Support identity-driven automation use cases such as access provisioning, role-based access, and lifecycle events Operational Excellence Reduce manual effort and operational risk through automation and self-service capabilities Improve reliability, observability, and response times through automated remediation and event-driven workflows Support incident, change, and configuration management processes with automation-first solutions Collaboration & Leadership Act as a technical mentor and automation subject-matter expert for engineering and operations teams Partner closely with architecture, security, and platform teams to align automation with enterprise standards Contribute to automation strategy, roadmap, and best practices Required Qualifications Strong background in Cloud Engineering, Network Engineering, or Identity & Access Management, with a transition into automation Hands-on experience building automation using scripting or automation tools (Python, PowerShell, Bash, Ansible, Terraform, etc.) Solid understanding of CMDB concepts, configuration items, relationships, and service mapping Experience integrating automation with ITSM platforms (e.g., ServiceNow or similar) Strong systems-thinking mindset and ability to work across technical domains Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Machine Learning Engineer - Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones. CST zone candidates will be considered. EST Candidates are not eligible. Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor's degree in computer science, artificial intelligence, informatics or closely related field. Master's degree in computer science, engineering or closely related field preferred. Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience. Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP). Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). CI/CD tools (e.g., Github Actions). Programming languages and frameworks (e.g., Python, R, SQL). MLOps engineering principles, agile methodologies, and DevOps life-cycle management. Technical writing and documentation for AI/ML models and processes. Healthcare data and machine learning use cases. Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems. REQUIRED qualifications: Experience in managing end-to-end ML lifecycle. Experience in managing automation with Terraform. Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). CI/CD tools (e.g., Github Actions). Programming languages and frameworks (e.g., Python, R, SQL). Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics. Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability. Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure. Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions. AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements. Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models. Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance. Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration. Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

W2 Machine Learning Engineer in Los Angeles, CA. Opportunity! This Jobot Consulting Job is hosted by: Robert Reyes Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $180,000 per year A bit about us: Prestige Hospital System Placed in both California in a broad assessment of excellence in hospital-based patient care. Why join us? Competitive Salary Stellar Benefits (Medical, Dental Vision, Life Insurance) Flexible Schedule Job Stability Career growth The position offers a competitive salary If you are passionate, thrive in a fast-paced environment and are ready to take your career to the next level, we would love to hear from you. Job Details Job Details: We are seeking a dynamic and innovative Consulting Machine Learning Engineer to join our Tech Services team. The successful candidate will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance. As an MLOps Engineer, you will play an integral role in implementing artificial intelligence solutions across our organization. You will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve operational efficiency and advance research. Responsibilities: Deploying and maintaining production-grade machine learning models, ensuring real-time inference, scalability, and reliability. Developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as AWS, GCP, or Azure. Leading engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks. Developing AI pipelines for various data processing needs, ensuring solutions meet all technical and business requirements. Collaborating with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines. Implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Setting up monitoring and logging solutions to track model performance, system health, and anomalies. Implementing version control systems for machine learning models and associated code. Ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Maintaining clear and comprehensive documentation of ML Ops processes and configurations. Qualifications: Bachelor's degree in computer science, artificial intelligence, informatics or closely related field. Master's degree in computer science, engineering or closely related field. Minimum of 3 years relevant Machine Learning Engineer Experience. Experience with AI and machine learning platforms (e.g., AWS, Azure or GCP). Proficiency in containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). Experience with CI/CD tools (e.g., Github Actions). Proficiency in programming languages and frameworks (e.g., Python, R, SQL). Deep understanding of coding, architecture, and deployment processes. Strong understanding of critical performance metrics. Extensive experience in predictive modeling, LLMs, and NLP. Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems. Experience in managing end-to-end ML lifecycle and automation with Terraform is a must. Ability to effectively articulate the advantages and applications of the RAG framework with LLMs. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Join a fast-moving engineering team building agentic systems, LLM-powered workflows, and intelligent backend infrastructure from the ground up. (100 percent remote) This Jobot Job is hosted by: Tarek Hamzeh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $160,000 - $220,000 per year A bit about us: We're seeking a Software Engineer with a strong focus on AI systems and backend development. You'll help design and scale intelligent, data-driven applications that combine large language models, computer vision, and autonomous agents to deliver next-generation user experiences. This role centers on building, training, and optimizing machine learning models, developing agentic AI systems, and integrating them into web and mobile platforms. You'll collaborate closely with product managers, designers, and data scientists to deliver intelligent, reliable, and impactful user-facing features. Why join us? What You'll Gain Opportunity to design and launch core AI infrastructure from the ground up. Flexible remote or hybrid work options. Competitive compensation and benefits. A chance to work with a fast-moving, cross-functional team driving innovation in applied AI. Job Details AI Software Engineer (Backend Focus) Build the Future of Intelligent Systems - Join Us as an AI Software Engineer Help design and deploy next-generation AI infrastructure that powers smarter, more personalized, and autonomous digital experiences. About the Role We're looking for a highly skilled AI Software Engineer to help design, build, and scale intelligent systems that bridge backend engineering and applied AI. You'll develop production-ready pipelines integrating large language models (LLMs), retrieval-augmented generation (RAG), computer vision, and agentic architectures - shaping how users interact with AI-driven products in real time. This is a hands-on engineering role where you'll collaborate with product managers, designers, and data scientists to create intelligent, reliable, and scalable systems that learn, reason, and act. What You'll Do Design & build backend services: Develop FastAPI or similar systems that power LLM-driven chat, search, and image recognition. Architect agentic AI systems: Implement multi-agent frameworks enabling autonomous reasoning, planning, and execution. Train and deploy models: Fine-tune and evaluate computer vision and language models; define testing suites to ensure quality and safety. Develop RAG pipelines: Create retrieval systems grounded in structured data to improve contextual accuracy. Ensure reliability: Build guardrails, validation layers, and observability for AI performance and safety. Optimize & scale: Automate workflows with CI/CD, Infrastructure-as-Code, and continuous telemetry feedback loops. Collaborate cross-functionally: Partner with design, mobile, and product teams to deliver AI-driven user experiences end-to-end. About You 5+ years of experience in backend or AI software engineering. Proficiency in Python, APIs, and distributed systems. Hands-on experience with OpenAI APIs, LLM integrations, and agentic frameworks (LangChain, LangGraph, CrewAI). Experience with vector databases (Pinecone, Weaviate, PGVector) and retrieval-augmented generation (RAG). Solid understanding of model evaluation, testing, and performance monitoring. Skilled in cloud environments (AWS, GCP, or similar) and container orchestration (Docker, Kubernetes). Strong collaboration and communication skills. Bonus: Familiarity with reinforcement learning or multi-agent coordination systems. Why Join Us Work on groundbreaking AI applications that combine real-world data and intelligent automation. Join a small, fast-moving team with autonomy and ownership. Flexible remote or hybrid work options. Competitive pay, full benefits, and unlimited PTO. The opportunity to shape the direction of applied AI infrastructure from the ground up. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Core Team Engineer (Cloud & Platform) BCforward is currently seeking a highly motivated Core Team Engineer (Cloud & Platform) remote role. Position Title: Core Team Engineer (Cloud & Platform) Location : Remote Anticipated Start Date : 02/02/2025 Please note this is the target date and is subject to change. BCforward will send official notice ahead of a confirmed start date. Expected Duration : Full Time - Direct Hire Job Type : (40+ HOURS WEEKLY , CONTRACT Overview : We are looking for a highly experienced Core Team Engineer (Cloud & Platform) to join our core architecture team. In this role, you will be responsible for building scalable cloud infrastructure, distributed systems, and data engineering solutions that power mission-critical applications. This is a hands-on technical leadership role, requiring strong expertise in backend engineering, cloud platforms, and data pipelines, along with the ability to mentor and guide future hires. Focus : Core platform architecture, cloud infrastructure, and distributed data, Java, Spring. Key Skills: Cloud and Containers: Strong AWS (ECS, Fargate, EC2, S3, Secrets Manager, IAM), Docker, CI/CD pipelines Backend: Strong Java with Spring Boot / Spring Cloud for microservices Databases: PostgreSQL and MongoDB, schema design, SQL optimization Data Engineering: Kafka for streaming, ETL design and orchestration, connecting APIs to data lakes/warehouses Security: JWT / OAuth2 / token-based authentication, identity federation Analytics: Exposure to Snowflake, data warehouses, SQL for reporting Soft Skills: Effective communicator, strong documentation habits, able to mentor future hires Job Responsibilities Designed, developed, and maintained subscription APIs leveraging Java 17, Spring Boot, and REST/GraphQL, powering subscription products for millions of digital media users. Designed and developed scalable, high-performance backend services in Java (Spring Boot) to support AI-driven retail platforms. Leveraged AI-assisted development tools to accelerate feature delivery and improve code reliability, test coverage, and observability metrics. Applied caching strategies and frameworks (Redis, Ehcache) to improve application response times and reduce database load. Containerized development using Docker and Kubernetes/OpenShift, enabling faster and more reliable deployments across environments. Designed and implemented event-driven architectures using Kafka/RabbitMQ, enabling reliable asynchronous processing at scale. Deployed monitoring and observability solutions (Datadog, Prometheus, ELK) for real-time insight into system health, latency, and payment success rates. Developed service-oriented backend services in TypeScript, ensuring scalability, maintainability, and compliance with enterprise best practices. Developed and maintained REST APIs, managing full API lifecycle (design, versioning, monitoring, deprecation) for internal and external integrations. Integrated security validation, encryption, and tokenization frameworks to protect sensitive customer and financial data across distributed systems. Containerized and orchestrated applications with Docker and Kubernetes, improving scalability and resilience of distributed systems. Developed automated test suites and CI/CD pipelines to validate functional, performance, and compliance requirements before deployment. Partnered with architecture and product teams to design APIs and orchestration pipelines that support embedded finance and monetization use cases. Drove continuous modernization of core payment services, aligning with enterprise cloud strategy and ensuring scalability, resiliency, and compliance across environments. Built event-driven orchestration components with smart routing, status tracking, and exception handling to ensure reliable and auditable payment flows. Engineered scalable, fault-tolerant services in cloud-native environments (AWS/GCP) using Java, Go, and Python, optimizing for latency, concurrency, and throughput. Implemented Test-Driven Development (TDD) practices to deliver high-quality, maintainable code, leveraging automated testing frameworks such as JUnit, Robot Framework, and Jasmine. Built and maintained scalable backend services in Java and Spring Boot, implementing secure and reliable REST APIs with dependency injection, configuration management, and security best practices. Built automated CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) integrated with SonarQube, Docker, and Kubernetes, improving release frequency and reliability. Developed real-time payment APIs and backend microservices enabling high-throughput transaction processing, account validation, and secure fintech integrations. About BCforward : Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward's 6,000 consultants support more than 225 clients globally. BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class place to work. BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process. This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will regardless of the anticipated assignment duration. Interested candidates please send resume in Word format Please reference job code 249110 when responding to this ad.

Job title : Enterprise Architect Full Stack, AI/ML Location: Richmond, VA Job Description: Enterprise Architect Full Stack, AI/ML is responsible for defining and leading enterprise-grade solution architectures that integrate modern full-stack engineering practices with scalable AI/ML capabilities. The role spans application engineering, MLOps, cloud-native architectures, data engineering, and enterprise integration, and requires close collaboration with business, product, engineering, and data science teams. This position requires 12+ years of hands-on and architectural experience in large-scale enterprise environments. Responsibilities Define end-to-end architecture for full-stack and AI/ML systems across discovery, data management, model development, deployment, and operations. Establish enterprise architecture principles, standards, and governance models for AI-enabled platforms. Drive digital modernization and cloud transformation initiatives aligned with business goals. Architect scalable ML pipelines, automated workflows, CI/CD, and MLOps frameworks. Partner with data scientists and engineers to operationalize AI/ML models with governance, compliance, versioning, and monitoring. Design and review enterprise applications spanning frontend, backend, APIs, microservices, and cloud-native services. Lead multi-cloud and hybrid architectures across AWS, Azure, and GCP, including DevOps, IaC, and observability. Mentor engineering teams and facilitate architecture governance, reviews, and technical audits. Required Skills Strong full-stack engineering experience with Java, Node.js, Python, Angular/React, REST APIs, microservices, and event-driven architectures. Experience designing and operationalizing AI/ML pipelines, MLOps frameworks, and CI/CD workflows. Deep knowledge of cloud-native architectures, containers (Docker), Kubernetes, and multi-cloud environments (AWS, Azure, GCP). Strong understanding of data engineering, data management, and enterprise integration. Proven leadership, stakeholder engagement, and enterprise architecture governance experience.

Hybrid! Lead the SAP-to-Databricks Lakehouse transformation! This Jobot Consulting Job is hosted by: Liz Valdez Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $125,000 - $170,000 per year A bit about us: We are a trusted leader in healthcare services and specialty distribution, helping hospitals, pharmacies, and health systems deliver critical therapies and medications safely and reliably. For more than 30 years, we've built a reputation for integrity, innovation, and excellence. Our team members thrive in a collaborative, mission-driven environment where their work makes a direct impact on patient care. Why join us? Shape a global enterprise data strategy from the ground up. Collaborate with high-caliber data leaders driving innovation with Databricks and SAP. Comprehensive Health Plans + EAP 401(k) + Profit Sharing Tuition Reimbursement HSA, FSA, and Dependent Care Accounts Life, AD&D, and AFLAC Plans Paid Vacation, Sick Leave, and Holidays Job Details Title: Lead Data Architect - Databricks & SAP Integration Location: Hybrid - Coppell, TX area (Preferred) Salary: $125K - $170K We're seeking a Lead Data Architect to drive the design, governance, and optimization of enterprise data architecture built around Databricks Lakehouse and SAP ERP systems. This is a hands-on leadership role, guiding senior data engineers and collaborating closely with business teams to architect high-performing, compliant, and future-ready data ecosystems. Key Responsibilities Lead the design and governance of enterprise-scale data architecture across Azure Databricks and SAP ECC/S4HANA systems. Build and optimize Bronze, Silver, and Gold layers within the Databricks Lakehouse (Delta Lake, Unity Catalog, Delta Live Tables). Model core SAP domains (Finance, Logistics, Materials, Supply Chain) and data tables (ACDOCA, BKPF, BSEG, MARA, LIPS) into scalable, high-performing data models. Design conceptual, logical, and physical data models and semantic/canonical layers to power enterprise BI and self-service analytics. Oversee ingestion and transformation pipelines (batch + streaming) using tools like Fivetran, Informatica, ADF, dbt, or PySpark. Define and enforce data governance, lineage, security, and masking standards leveraging Unity Catalog and best-in-class compliance (HIPAA, GDPR, PHI/PII). Collaborate with business, analytics, and data science teams to align architecture with AI/ML and predictive analytics initiatives. Partner with IT leadership on cloud cost optimization, performance tuning, and architecture strategy across Azure/AWS/GCP. Qualifications 7+ years of experience in Data Architecture or Advanced Data Engineering at enterprise scale. Proven hands-on expertise with Databricks Lakehouse, Delta Lake, and Unity Catalog. Strong experience with SAP ECC/S4HANA data models (ACDOCA, BKPF, BSEG, MARA, LIPS) and related integrations. Deep knowledge of SQL, Python, PySpark, and cloud ETL tools (ADF, Informatica, Fivetran, dbt). Proficiency in data modeling (conceptual, logical, physical), semantic/canonical layer design, and star/snowflake schemas. Demonstrated leadership/mentorship of data engineering teams and collaboration with business stakeholders. Experience in data governance, security, and lineage frameworks. Cloud platform expertise (Azure preferred, AWS or GCP welcome). Nice to Have: Familiarity with SAP BW, CDS Views, or data mesh concepts. Experience with Power BI, Tableau, or Looker. Background in AI/ML or GenAI-enabled analytics. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Role: Senior Backup Solutions Architect Locations: Downey, CA (Hybrid) Duration: 12+ Months contract Position Description The Senior Backup Solutions Architect (Sr. Backup Solutions Architect) is responsible for designing, implementing, and optimizing enterprise-level backup and disaster recovery solutions. The Sr. Backup Solutions Architect will collaborate with infrastructure teams, cloud engineers, security specialists, and business stakeholders to ensure that critical data is reliably protected, recoverable, and compliant with relevant regulations and service-level agreements. The Sr. Backup Solutions Architect will maintain and support a variety of backup and storage systems, including CommVault, Commvault Cloud, Auto-Recovery (DR), M365 Protection, Azure AD Protection, Cloud VM Backups, Air Gap Protect (AGP), Commvault CleanRoom, Dell/EMC, IBM, NetApp, and Pure Storage. The Sr. Backup Solutions Architect administers, installs, configures, and maintains all backup and storage solutions; creates CommVault backup jobs for Linux, UNIX, and Windows hosts; manages Network Attached Storage (NAS) through NDMP; encompasses working with databases such as DB2, SQL, Oracle, and PostgreSQL; and handles the masking, zoning, and provisioning of storage for UNIX, Windows, and VMware servers. The Sr. Backup Solutions Architect will oversee all data backup and recovery support for cloud service providers like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), OCI and IBM Cloud, including planning regular system upgrades, checking system health, and implementing necessary adjustments. The Sr. Backup Solutions Architect will analyze issues reported by both internal and external teams, offering recommendations and designing systems architecture; collaborating with customers to test applications post-changes and upgrading hardware efficiently with minimal downtime; and evaluating new application software technologies and ensuring security products are consistently patched. Skills Required The Sr. Backup Solutions Architect will possess in-depth understanding, knowledge and experience of Commvault and Commvault Cloud SaaS solutions, along with experience in AWS, Microsoft Azure, OCI and GCP; effectively document technical information and communicate seamlessly with business teams, customers, and technical teams in areas like networking, security, and vendor management; perform data protection for On-premises and Public-Cloud using Commvault and perform regular upgrades; execute storage migrations; consolidate data centers; and manage Pure Storage solutions, both hardware and software. The Sr. Backup Solutions Architect will be well-versed in Data Protection and storage systems, particularly Dell and NetApp solutions like ONTAP, SnapMirror, and SnapVault; be familiar with scripting languages like PowerShell and Python for automating tasks is important, as is proficiency with UNIX systems (IBM AIX, Linux, Client-UX) and networking hardware; and the ability to design and manage scalable cloud solutions across AWS, Azure, GCP, and IBM Cloud. They will possess strong oral and written communication skills, effective time management, attention to detail, and the ability to convey technical information to non-technical audiences. Experience Required This classification requires, within the last eight (8) years, minimum of seven (7) years of experience as a Senior Backup Solutions Architect, or similar, for data protection systems, such as CommVault and CommVault Cloud, including configuration, implementation, and troubleshooting within enterprise environments; six (6) years of experience with storage solutions from Dell/EMC, IBM, NetApp, and Pure Storage, encompassing both midrange and enterprise-class storage arrays; and seven (7) years of experience using, configuring, implementing, and troubleshooting cloud-based backup, servers, and storage systems in enterprise settings. Education Required This classification requires a bachelor's degree in an IT-related or Computer Science field, and credentials as a Commvault Certified Professional Administrator. Additional qualifying experience may be substituted for the required education and Commvault Certified Professional Administrator credentials on a year-for-year basis. Additional Information 2 days remote and 3 days onsite.

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Description: The Systems Engineer is responsible for supporting technological infrastructure that enables the success of OPC, GTC, and GSOC. This includes designing, deploying, and managing Windows and Linux desktop and server environments as well as architecting and implementing cloud-based solutions through AWS, Azure, Google Cloud Platform, and Microsoft 365. The role ensures system scalability, reliability, and security. The Systems Engineer manages and optimizes both physical and virtual servers as well as core cloud services and workstation infrastructure, monitors system performance, and troubleshoots issues. They implement automation and configuration management and plan and perform system upgrades. In terms of security and compliance, the Systems Engineer ensures that systems are secure and compliant with industry standards and regulations. They manage system security configurations, participate in regular security audits, and promptly address findings from security assessments. The role involves close collaboration across various technical and business teams, providing technical support and expertise. The Systems Engineer documents system configurations, department processes, and prepares reports and metrics on system performance. This opportunity offers a diverse range of tasks and the potential for continuous learning and growth. Position may specialize in a certain subset of technology based on business needs. This position requires a strong customer service focus, positive attitude, and good oral and written communications skills. Responsible for compliance with all applicable laws, regulations, industry standards, corporate policies, guidelines and procedures, including but not limited to, RUS, OSHA, SOX, NERC, FERC and ITS requirements. Promotes an environment of compliance and continuous improvement to meet the Corporation's goals and objectives. Key Responsibilities: System Design and Implementation: Design, deploy, and manage Windows and Linux desktop and server environments and related storage infrastructure. Architect and implement cloud-based solutions (e.g., AWS, Azure, Google Cloud Platform, Microsoft 365) to support business needs. Ensure system scalability, reliability, and security. Infrastructure Management: Maintain and optimize physical and virtual servers and workstation infrastructure. Monitor system performance, conduct regular system audits, and troubleshoot issues. Implement automation and configuration management. Plan and perform system upgrades. Perform routine systems maintenance activities like backup/recovery, patching, file management. Security and Compliance: Ensure systems are secure and compliant with industry standards and regulations. Implement and manage system security measures and configurations. Participate in regular security audits, conduct regular security assessments and promptly address findings from audits and assessments. Collaboration and Support: Work closely with development, operations, and support teams to ensure seamless integration and operation of systems. Provide direct technical support for planning, coordination, programming, and implementation of releases, upgrades, and changes. Provide Tier 3 support for complex issues and escalations. Documentation and Reporting: Create and maintain detailed documentation of system configurations, processes, and procedures. Prepare reports on system performance, incidents, and maintenance activities. Develop, maintain, and follow department policies and procedures. Use ITSM toolset for documentation and support of ITIL practices such as incident management, change management, problem management, asset management, service requests, etc. Engage in continuous improvement activities: Enhance system performance and reliability. Participate in industry conferences and workshops to stay current with emerging technologies and best practices. Provide technical support, expertise, and advise across the IT function. Required Qualifications Education: Bachelor's degree in Computer Science, Computer Engineering, Engineering, Information Systems, or a related field from an accredited college or university. Equivalent Experience: Systems Engineer III Experience: Minimum of 4 years in designing and managing technology infrastructure environments, cloud-based solutions, conducting system assessments, and troubleshooting. Equivalent Experience: Minimum of 8 years of relevant experience may also be considered. Responsibility: Independently manages desktop and/or server environments, implements cloud-based solutions, and conducts system assessments and troubleshooting. Begins to lead small projects and works closely with other teams to ensure seamless integration and operation of systems. Systems Engineer IV Experience: Minimum of 6 years in designing and managing technology infrastructure environments, cloud-based solutions, conducting system assessments, and troubleshooting. Equivalent Experience: Minimum of 10 years of relevant experience may also be considered. Responsibility: Leads projects for the design, deployment, and management of desktop and/or server environments and cloud-based solutions. Takes on a leadership role in system design and troubleshooting and provides technical support across the IT function. Licenses, Certifications and/or Registrations: Relevant certifications are a plus: Microsoft Certified: Azure Solutions Architect Microsoft Certified: Exchange Online Support Engineer AWS Certified Solutions Architect Red Hat Certified Engineer VMware Certified Processional - Data Center Virtualization Microsoft Certified: Modern Desktop Administrator ITILv3 or ITILv4 Foundation Certified Information Systems Security Professional (CISSP) Specialized Skills (e.g., typing, computers, software, tools and equipment uses, etc.): Technical Expertise: Extensive experience with Active Directory, Windows Server (2016, 2019, 2022) and Linux distributions (Ubuntu, CentOS, Red Hat). Extensive experience with Microsoft Windows desktop OS and related desktop management systems including MS Intune, WSUS, etc. Proficiency in cloud platforms (AWS, Azure, GCP) and associated services including Microsoft 365. Strong knowledge of virtualization technologies (VMware, Hyper-V, Nutanix, Proxmox, etc.). Experience with Microsoft Exchange Online and On-premises Tools and Technologies: Experience with configuration management tools and patch management tools. Familiarity with containerization technologies (Docker, Kubernetes). Proficient in scripting languages (PowerShell, Bash, Python). Experience with ITSM tools such as ServiceNow, Ivanti ITSM, etc. Security: In-depth understanding of network and system security best practices. Experience with security tools and technologies (firewalls, IDS/IPS, EDR). Other: Experience with DevOps practices and tools (CI/CD pipelines, Jenkins). Knowledge of ITIL processes and best practices. Experience in managing databases (SQL, NoSQL) and storage solutions. Soft Skills: Excellent problem-solving/analytical skills and attention to detail. Good oral and written communication and interpersonal skills. Excellent customer service focus and positive attitude. Ability to work independently and as part of a team.

Description: The Systems Engineer is responsible for supporting technological infrastructure that enables the success of OPC, GTC, and GSOC. This includes designing, deploying, and managing Windows and Linux desktop and server environments as well as architecting and implementing cloud-based solutions through AWS, Azure, Google Cloud Platform, and Microsoft 365. The role ensures system scalability, reliability, and security. The Systems Engineer manages and optimizes both physical and virtual servers as well as core cloud services and workstation infrastructure, monitors system performance, and troubleshoots issues. They implement automation and configuration management and plan and perform system upgrades. In terms of security and compliance, the Systems Engineer ensures that systems are secure and compliant with industry standards and regulations. They manage system security configurations, participate in regular security audits, and promptly address findings from security assessments. The role involves close collaboration across various technical and business teams, providing technical support and expertise. The Systems Engineer documents system configurations, department processes, and prepares reports and metrics on system performance. This opportunity offers a diverse range of tasks and the potential for continuous learning and growth. Position may specialize in a certain subset of technology based on business needs. This position requires a strong customer service focus, positive attitude, and good oral and written communications skills. Responsible for compliance with all applicable laws, regulations, industry standards, corporate policies, guidelines and procedures, including but not limited to, RUS, OSHA, SOX, NERC, FERC and ITS requirements. Promotes an environment of compliance and continuous improvement to meet the Corporation's goals and objectives. Key Responsibilities: System Design and Implementation: Design, deploy, and manage Windows and Linux desktop and server environments and related storage infrastructure. Architect and implement cloud-based solutions (e.g., AWS, Azure, Google Cloud Platform, Microsoft 365) to support business needs. Ensure system scalability, reliability, and security. Infrastructure Management: Maintain and optimize physical and virtual servers and workstation infrastructure. Monitor system performance, conduct regular system audits, and troubleshoot issues. Implement automation and configuration management. Plan and perform system upgrades. Perform routine systems maintenance activities like backup/recovery, patching, file management. Security and Compliance: Ensure systems are secure and compliant with industry standards and regulations. Implement and manage system security measures and configurations. Participate in regular security audits, conduct regular security assessments and promptly address findings from audits and assessments. Collaboration and Support: Work closely with development, operations, and support teams to ensure seamless integration and operation of systems. Provide direct technical support for planning, coordination, programming, and implementation of releases, upgrades, and changes. Provide Tier 3 support for complex issues and escalations. Documentation and Reporting: Create and maintain detailed documentation of system configurations, processes, and procedures. Prepare reports on system performance, incidents, and maintenance activities. Develop, maintain, and follow department policies and procedures. Use ITSM toolset for documentation and support of ITIL practices such as incident management, change management, problem management, asset management, service requests, etc. Engage in continuous improvement activities: Enhance system performance and reliability. Participate in industry conferences and workshops to stay current with emerging technologies and best practices. Provide technical support, expertise, and advise across the IT function. Required Qualifications Education: Bachelor's degree in Computer Science, Computer Engineering, Engineering, Information Systems, or a related field from an accredited college or university. Equivalent Experience: Systems Engineer III Experience: Minimum of 4 years in designing and managing technology infrastructure environments, cloud-based solutions, conducting system assessments, and troubleshooting. Equivalent Experience: Minimum of 8 years of relevant experience may also be considered. Responsibility: Independently manages desktop and/or server environments, implements cloud-based solutions, and conducts system assessments and troubleshooting. Begins to lead small projects and works closely with other teams to ensure seamless integration and operation of systems. Systems Engineer IV Experience: Minimum of 6 years in designing and managing technology infrastructure environments, cloud-based solutions, conducting system assessments, and troubleshooting. Equivalent Experience: Minimum of 10 years of relevant experience may also be considered. Responsibility: Leads projects for the design, deployment, and management of desktop and/or server environments and cloud-based solutions. Takes on a leadership role in system design and troubleshooting and provides technical support across the IT function. Licenses, Certifications and/or Registrations: Relevant certifications are a plus: Microsoft Certified: Azure Solutions Architect Microsoft Certified: Exchange Online Support Engineer AWS Certified Solutions Architect Red Hat Certified Engineer VMware Certified Processional - Data Center Virtualization Microsoft Certified: Modern Desktop Administrator ITILv3 or ITILv4 Foundation Certified Information Systems Security Professional (CISSP) Specialized Skills (e.g., typing, computers, software, tools and equipment uses, etc.): Technical Expertise: Extensive experience with Active Directory, Windows Server (2016, 2019, 2022) and Linux distributions (Ubuntu, CentOS, Red Hat). Extensive experience with Microsoft Windows desktop OS and related desktop management systems including MS Intune, WSUS, etc. Proficiency in cloud platforms (AWS, Azure, GCP) and associated services including Microsoft 365. Strong knowledge of virtualization technologies (VMware, Hyper-V, Nutanix, Proxmox, etc.). Experience with Microsoft Exchange Online and On-premises Tools and Technologies: Experience with configuration management tools and patch management tools. Familiarity with containerization technologies (Docker, Kubernetes). Proficient in scripting languages (PowerShell, Bash, Python). Experience with ITSM tools such as ServiceNow, Ivanti ITSM, etc. Security: In-depth understanding of network and system security best practices. Experience with security tools and technologies (firewalls, IDS/IPS, EDR). Other: Experience with DevOps practices and tools (CI/CD pipelines, Jenkins). Knowledge of ITIL processes and best practices. Experience in managing databases (SQL, NoSQL) and storage solutions. Soft Skills: Excellent problem-solving/analytical skills and attention to detail. Good oral and written communication and interpersonal skills. Excellent customer service focus and positive attitude. Ability to work independently and as part of a team.

Enterprise Cloud Infrastructure Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 05, 2025 Post Date 107211 Requisition and maintain scalable, highly available, and resilient systems in the cloud and on-prem. Implement any new cloud functionality or migrate existing processes to the cloud and maintain them. Build and deploy systems utilizing Continuous Integration/Continuous Delivery framework and infrastructure automation.This is a hybrid-eligible position. Core Responsibilities Build and manage IaaS, PaaS, and SaaS services (e.g., compute, storage, network, security, administration, automation, application services, and databases) in either native cloud or hybrid cloud environments. Will ensure that the infrastructure is properly optimized for performance, cost, and security.Develop and maintain automation scripts using high-level with a 'devops language' (such as Python, etc) and infrastructure-as-code templates to provision and manage Oracle OCI and AWS resources using Terraform.Engineer processes across various areas like servers, applications, and databases and monitor them to ensure everything works as it should, taking necessary steps to facilitate spikes in traffic and usage.Take responsibility for infrastructure resource design and performance optimization, backup and recovery strategies and implementation, as well as monitoring the overall health of the environment.Develop and maintain efficient and appropriate connectivity solutions between various campus infrastructure to ensure necessary data is available as needed.Collaborate with application development and infrastructure teams to optimize cloud-based solutions, ensuring high performance and cost-effectivenessEnsure monitoring coverage for applications and proactively monitor and manage the health of applications/systems; responsible and accountable for driving the root cause and ensuring all issues are addressed and resolved in a timely fashion.Implement Best Practices for IaaS, PaaS services lifecycle Minimum Qualifications Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities: Demonstrate Cloud Infrastructure experience including but not limited to AWS, GCP, Azure, OCIExtensive Experience with AWS server deployment using AWS CLI, HashiCorp Terraform.Experience in orchestrating environment deployment from OS all the way through the application layers of a solution, using tools such as Docker, Kubernetes, Jenkins, Git, Puppet and many others.Experience with Servers, Infrastructure, Platform Sizing, Infrastructure Cost ReductionExperience with automated deployment/ Continuous Integration/ ReleaseDemonstrate experience in Network Security and Network awareness principal.Demonstrate a full-stack infrastructure including but not limited to database, web server, application server development as code.Good understanding & experience of Networking, Firewall, Security hardening, storage and OS software package management in Unix Environment.Strong understanding of Cloud Technologies with focus on AWS and OCI.Comprehensive knowledge of DevOps practices and tools.Knowledge of infrastructure APIs on cloud platforms such as EC2/VM/Bare Metal/Containers, Storage/EBS/Volumes, Network/VPC/Subnet, Network Interfaces, etc.Extensive experience with deploying Infrastructure as Code (IaC) patterns using TerraformAbility to script proficiently using Unix Shell, Python for automation.Ability to work independently or as a team member and self-motivated in learning new technology.Excellent communication, presentation and collaborative problem-solving skills.Ability to collaborate with vendors and system service providers, provide administration for system solutions, and act as a liaison. Preferred Qualifications: Experience working with Single Sign-On SAML, OpenID is a plus.Experience with AWS SQS, API Gateway, OAuth 2.0 & RESTful APIs is a plus.Experience in Oracle OCI is highly recommended.AWS , OCI certifications preferred. The expected pay range for this position is $150,922 - $155,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture . We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information Schedule: Full-time Job Code: 4762 Employee Status: Regular Grade: K Requisition ID: 107211 Work Arrangement : Hybrid Eligible

Neuromuscular Research Data Analyst School of Medicine, Stanford, California, United States Information Analytics Nov 12, 2025 Post Date 107725 Requisition # Do you want to help Stanford University find better ways to measure strength, function and health for individuals with Neuromuscular Disease including Muscular Dystrophies, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, Inherited Neuropathies, and other conditions? If you Enjoy working directly with patients and their families in clinic and at research visits. Are excited to work with people affected by neuromuscular disorders. Are excited to work with clinicians, scientists, engineers and research associates. Are exceptionally organized and can balance multiple projects at one time. Have excellent time management and can meet deadlines. Work well in a dynamic team utilizing novel technologies to integrate knowledge and answer research questions. Enjoy learning new skills. Enjoy translating data to address research gaps. Then we offer The opportunity to work in a collaborative team of neuromuscular investigators. The chance to contribute to describing and understanding the impact of treatments in neuromuscular disorders. Exciting and positive environment where you will always learn new things. Teamwork and camaraderie. Competitive full time salary. Excellent Stanford benefits. The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA), with clinical data management experience to utilize knowledge from research tools to conduct and analyze research data assuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management. The division is eager to determine novel approaches towards quantifying movement through wearable and video technology and develop novel methods of analyzing MRI data to better characterize disease health for individuals with neuromuscular disease. As disease modifying treatments become available in neuromuscular diseases, we are researching novel approaches to better quantify movement and complement current clinical practice working alongside other professionals in radiology, cardiovascular health, and engineering. This position focuses on clinical data management and primarily focuses on supporting the labs clinical data collection systems. One would expect to be using REDCap database design and form creation regularly while also aligning with administrative and research data governance politics. A successful candidate would serve as the primary data manager for multiple clinical research studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis. Learning SQL or having experience with Google Cloud would be preferred. Projects involve working with both pediatric and adults with neuromuscular diseases in both a lab and clinical environment. There are opportunities for long-term growth within the team with the ability to gain critical skillsets for a career in biomedical sciences. These studies will be conducted at the Stanford University Medical Center. Interested candidates should include a CV and Cover Letter addressing how your education and experience relates to the position described above. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Collaborate with faculty and research staff on data collection and analysis methods. Communicate with government officials, grant agencies and industry representatives. Design, develop, and maintain REDCap databases. Data Compliance. - Other duties may also be assigned. DESIRED QUALIFICATIONS: 1-2 years experience in acquiring and/or processing data signals that requires a high level of technical skill and attention to detail. Proficiency with basic programming and scripts (for example, using R, python, MATLAB, SQL). Strong general computer skills and ability to quickly learn and master computer programs. Experience in data science with applied statistics, visual and communicating data. Proficiency with Microsoft Office, Word, Excel and various industry-oriented electronic data capture programs. Experience with database, data management, REDCAP, IRB requirements and the Stanford clinical research environment highly desirable. Ability to work both independently and as part of a diverse multidisciplinary team in a collaborative manner. Ability to determine workload priorities in an appropriate way to accomplish tasks and goals, meet deadlines. Takes initiative with good problem solving skills to anticipate and solve problems. Experience working with patients in a clinic or research setting. Strong analytical skill. Good oral and written communication skills to effectively work and publish data with clinicians and researchers. Excellent organizational skills and attention to detail in maintaining accurate, retrievable records. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Understanding of HIPAA, and GCP guidelines. Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Ability to prioritize workload; efficient utilization of time management. PHYSICAL REQUIREMENTS : Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more. Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. Occasional evening and weekend hours. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility . click apply for full job details

ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term) School of Medicine, Stanford, California, United States Information Analytics Jun 03, 2025 Post Date 106579 Requisition University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions. About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data. About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs. The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : • Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Additional Information Schedule: Full-time Job Code: 4734 Employee Status: Fixed-Term Grade: K Requisition ID: 106579 Work Arrangement : Hybrid Eligible

Posting date: 10/17/2025 Open Until Filled: Yes Position Number: Position Title: Software Engineer Hiring Range Minimum: $101,500 Hiring Range Maximum: $119,000 Union Type: Not a Union Position SEIU Level: Not an SEIU Position FLSA Status: Exempt Employment Category: Regular Full Time Scheduled Months per Year: 12 Scheduled Hours per Week: 40 Schedule: Join us at our convenient location at 41 Centerra Parkway in Lebanon, NH, where you'll find a perfect balance of on-site engagement and remote flexibility. This position is part of a team that primarily works remotely but values intentional onsite engagement. Depending upon projects, you could be in the office daily for a period, or it could be 1-2 days in a month. When onsite, you will typically work out of 41 Centerra Parkway in Lebanon, NH where nearly 80 of your colleagues in Advancement have office space. Periodically, meetings are held in Hanover or on the Dartmouth campus, which is 3 miles from the Centerra Parkway location. Living within commutable distance to Hanover, NH, is preferred, allowing you to integrate smoothly into our team and community. Location of Position: Lebanon, NH 03766 41 Centerra Parkway Remote Work Eligibility?: Hybrid Is this a term position?: No Is this a grant funded position?: No Position Purpose: The Software Engineer for Advancement is a full-stack developer who designs, develops, tests, and maintains software applications that advance the mission of Dartmouth's Advancement division. This role requires a strong combination of technical expertise across multiple platforms and programming languages, alongside a deep understanding of our business objectives. The successful candidate will apply both business acumen and technical skills to deliver high-quality, maintainable solutions within an agile team environment This role independently executes moderate to complex technical work and actively contributes to team-based architecture and implementation efforts. The Software Engineer collaborates with teammates, clients, vendors, and campus partners to develop custom applications, enhance vendor systems, and support integrations that connect Advancement systems to broader institutional platforms. This includes involvement in system design, database development, API creation and consumption, testing, and support for both on-premise and cloud-based solutions. The role also supports deployment automation, infrastructure maintenance, and DevOps practices in partnership with more senior team members. Strong analytical, problem-solving, and communication skills are essential for working effectively within a cross-functional team. The Software Engineer contributes to team growth through knowledge sharing, code review participation, and process improvement efforts. Description: Are you a full-stack developer passionate about purpose-driven technology? Dartmouth's Advancement Systems and Services team is looking for two Software Engineers to help design and build innovative solutions that support our institutional mission. We are looking to hire two talented individuals into this role. Make an impact. Grow your skills. Join a team that values innovation, collaboration, and team engagement. Required Qualifications - Education and Yrs Exp: Bachelor's degree Required Qualifications - Skills, Knowledge and Abilities: Bachelor's degree in Computer Science or a related field 5-8 years of professional software engineering experience Demonstrated experience in: Full-stack application development Oracle PL/SQL, SQL, APEX, with proven ability to develop and manage complex queries and manage data migrations, administer, navigate and manage multiple schemas, data replication, backup/recovery, troubleshooting, development, and performance tuning in complex, consolidated Oracle environment One or more programming languages (e.g., Python, JavaScript, Java, C#) Front-end development (HTML, CSS, JavaScript) RESTful APIs and system integration Version control (Git, SVN), release pipelines, and collaborative development workflows Working with and troubleshooting internet communication components, such as DNS, DNAME, SMTP with a solid understanding of security certificates (SSL/TLS) and other authentication methods and encryption that ensure compliance with privacy regulations Familiarity with DevOps principles and CI/CD tools Strong problem-solving, communication, and teamwork skills Ability to work independently on technical tasks and contribute to team solutions Preferred Qualifications: Experience with vendor system integration and support of ERP platforms (e.g., Advancement, SIS, Finance, HR) Familiarity with data governance, privacy, and compliance standards (e.g., FERPA, HIPAA, GDPR) Knowledge of cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes) Exposure to Agile development methodologies and tools Understanding of institutional workflows in higher education Strong knowledge and practical experience in database administration tasks Proficiency in application upgrade, cloning, and installation procedures Department Contact for Recruitment Inquiries: Lesa Knapp Department Contact Phone Number: Department Contact for Cover Letter and Title: Lesa Knapp, Assistant Vice President for Advancement Administration Department Contact's Phone Number: Equal Opportunity Employer: Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all. Background Check: Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. Is driving a vehicle (e.g. Dartmouth vehicle or off road vehicle, rental car, personal car) an essential function of this job?: Not an essential function Special Instructions to Applicants: Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy. Additional Instructions: This position is not visa sponsorship eligible. Quick Link: Description: Software Development Designs, develops, tests, and maintains custom software solutions that meet user needs and align with institutional standards. Translates technical requirements into functional software components. Participates in solution design and architecture discussions, contributing to decisions on system structure, integration approaches, and performance optimization. Develops and consumes APIs and web services for system interoperability. Maintains and enhances database-driven applications using tools such as Oracle PL/SQL and APEX. Implements unit testing, automated testing frameworks, and follows version control and release management best practices. Participates in infrastructure and application support for both on-premises and cloud environments. Collaborates on deployments and contributes to automation and DevOps workflows. Collaborates on teams and leads team initiatives. Develops and enhances documentation supporting systems, integrations, and processes, contributing to a shared knowledge base that informs the work of Advancement Systems and Services. Percentage Of Time: 60 Description: Collaboration and Client Support Works closely with team members to complete tasks aligned to team goals and delivery timelines. Partners with stakeholders to understand business needs, clarify requirements, and deliver value through technical solutions. Supports vendor system implementations and integrations; engages with vendors on issue resolution. Maintains strong working relationships with functional teams, end users, and other IT professionals across the institution. Percentage Of Time: 20 Description: Team Engagement and Continuous Learning Participates in agile ceremonies, sprint planning, retrospectives, and team-based prioritization. Shares technical knowledge through documentation, code reviews, cross training, and informal mentoring of colleagues. Engages in continuous professional development to stay current with tools, languages, frameworks . click apply for full job details

Software Developer 1 School of Medicine, Stanford, California, United States Information Technology Services Sep 03, 2025 Post Date 107107 Requisition Department of Genetics in the Stanford University School of Medicine is a world-renowned hub for innovation in genomics, computational biology, and translational research. Our lab focuses on developing next-generation computational frameworks and automatic data analyses systems to analyze single-cell and spatial omics data, enabling new discoveries in developmental biology and disease modeling.We are seeking up to two Software Developer 1 to join our interdisciplinary team and support the development of a modular automatic data analyses system for automating single-cell and spatial data analysis. The ideal candidate will contribute to the design, implementation, and scaling of cloud-based applications that power predictive models of organogenesis and disease progression.This is an excellent opportunity to work at the forefront of biomedical data science, collaborating with world-class researchers, engineers, and entrepreneurs in a fast-paced academic and translational research environment.Duties include: Assess user needs and requirements.Design and develop applications that may involve sophisticated data manipulation.Maintain and update existing programs.Troubleshoot and solve technical problems.Create programs to meet reporting and analysis needs.Design and implement user and operations training programs.Document changes in software for end users.Follow team software development methodology.Serve as technical resource with respect to applications.Support research translation, licensing, and commercialization strategy, including coordination with venture capital firms and Stanford's innovation ecosystem.Assist with scientific writing, data visualization, and manuscript preparation. - Other duties may also be assigned.DESIRED QUALIFICATIONS: Bachelor's degree or higher in Computer Science, Bioinformatics, Biomedical Engineering, Management Science & Engineering, or a related field.Strong background in data science, or computational biology, especially in handling single-cell, spatial transcriptomics, or imaging data.Strong background in automatic data analyses tool development and deployment, distributed systems and othersProficiency in Python, R, or other scientific programming languages, with experience in software development and data pipeline automation.Experience with cloud computing platforms (e.g., AWS, GCP) and collaborative development tools (e.g., GitHub, Docker).Familiarity with scientific publication processes, manuscript preparation, and figures.Demonstrated ability to assess user needs, troubleshoot complex technical issues, and design user-friendly, scalable applications.Knowledge of research translation and commercialization strategy, including startup planning and engagement with venture capital firms.Experience preparing research presentations, grant proposals, or supporting industry/academic collaborations.Ability to work independently and collaboratively across interdisciplinary teams in a fast-paced academic or startup-like environment.Excellent communication and organizational skills, with attention to detail and strong documentation practices. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and three years of relevant experience or a combination of education and relevant experience.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Working knowledge of latest software and design standards.Ability to define and solve logical problems for technical applications.Knowledge of and ability to select, adapt, and effectively use a variety of programming methods.Ability to recognize and recommend needed changes in user and/or operations procedures.Basic knowledge of software engineering principles.Strong knowledge of at least one programming language. CERTIFICATIONS & LICENSES:None. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, grasp lightly/fine manipulation.Occasionally stand/walk, writing by hand.Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS:May work extended hours, evening and weekends. WORK STANDARDS (from JDL): Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $107,423 to $133,600 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information Schedule: Full-time Job Code: 4821 Employee Status: Regular Grade: I Requisition ID: 107107 Work Arrangement : On Site

Technical Manager, Generative AI Labs (GAIL) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Technical Manager, Generative AI Labs (GAIL) Job Profile Title Application Architect Job Description Summary The Technical Manager oversees and contributes to the engineering strategy and execution for Wharton's Generative AI Labs (GAIL), translating cutting edge research into working open source prototypes and scalable tools. They collaborate closely with Wharton Computing, faculty researchers, and external partners to ensure strong technical integration and shared innovation. Reporting to the Executive Director of GAIL and collaborating closely with GAIL's Co-Directors, affiliated scholars, and staff, this person architects systems, mentors developers and students, and enables projects to rapidly move from prototype to products that elevate research, teaching, and professional practice. As GAIL's work evolves, this role may take on broader responsibility for scaling technical infrastructure and deepening the technical capabilities of the existing team. Job Description Technical Manager, Generative AI Labs (GAIL) Wharton's Generative AI Labs (GAIL) sits at the intersection of world-class research and rapid prototyping, building open-source tools that will change how people work and learn. This position is designed for someone who thrives on turning ideas into working systems and helping others level up in the process. We're looking for a rare kind of leader-builder: someone who can architect and ship code one hour, then mentor a team or steer a moon-shot project plan the next. Interested candidates are asked to provide a cover letter, resume, and a GitHub link to a project that reflects the skills and level of expertise described in this position description. Key Duties Lead architecture & delivery of LLM-powered prototypes Coordinate and mentor an internal engineering team and contractors to develop and implement projects. Pair with researchers to translate ideas into open-source products Align prototypes with Wharton Computing infrastructure & policies Present demos and technical road-maps to stakeholders Qualifications: Required - Bachelor's degree; 3-5 years of experience; 5+ yrs software engineering (2+ yrs tech lead), preferred; full cycle delivery of AI-powered applications (e.g., generative AI, LLMs, multimodal models, or emerging technologies); Python fluency plus a second server-side language; cloud & GPU proficiency; record of mentoring. Preferred - Master's degree; expertise in TypeScript and good architectural familiarity with cloud technologies such as AWS, GCP or Azure; startup or high-growth experience. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $160,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age . click apply for full job details

DevOps Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Nov 17, 2025 Post Date 107201 Requisition # JOB PURPOSE Enterprise Technologies is a central IT unit at Stanford University, responsible for delivering foundational computing and communication infrastructure that supports the University's academic, research, and administrative functions. We are seeking a Senior DevOps Engineer with proven expertise in API development, as well as administration and integration experience across Google Workspace, AWS, and Microsoft Azure. In this role, you will design and automate cloud infrastructure, optimize CI/CD pipelines, develop and maintain internal APIs, and manage cloud-based configurations, identity services, and security policies-leveraging scripting and API-driven automation across multi-cloud and enterprise collaboration platforms. RESPONSIBILITIES The DevOps Engineer will serve as a key member of the team, leading the design, development, planning, support, and security of Stanford's infrastructure with a focus on Google Cloud technologies. This role is critical in optimizing software delivery pipelines, enabling collaboration across teams, and ensuring the reliability, performance, and scalability of systems running in Google Cloud. The ideal candidate will have deep experience with infrastructure automation, cloud-native tooling, and API integrations within the Google ecosystem-including GCP and Google Workspace. Strong leadership, scripting, and communication skills are essential. Key responsibilities include: CORE DUTIES: Design, implement, and maintain scalable CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Automate infrastructure provisioning using tools like Terraform, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go, or Node.js. Manage and integrate Google Workspace with internal systems, including API access, identity provisioning (via Directory API), and service automation. Monitor system health and performance using observability tools (e.g., Prometheus, Grafana, ELK, Datadog). Implement security best practices, including IAM, secrets management, and compliance enforcement. Collaborate with engineering, security, and IT teams to maintain a secure and efficient development environment. Support incident response, root cause analysis, and disaster recovery procedures. Document infrastructure, processes, and API endpoints thoroughly. Participating in 24x7 on-call support rotation. MINIMUM REQUIREMENTS: Education & Experience Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities: Bachelor's degree in Computer Science, Engineering, or equivalent work experience. 5+ years in DevOps, SRE, or Platform Engineering roles. Hands-on experience with public cloud platforms (AWS, Azure, or GCP-GCP preferred). Strong programming skills in one or more languages for API development (e.g., Python, Go, Node.js). Proficiency with CI/CD tools and IaC frameworks (e.g., Terraform, Ansible, CloudFormation). Experience with Docker and container orchestration tools such as Kubernetes or ECS. Demonstrated experience managing and integrating Google Workspace in enterprise environments, including APIs, security settings, and automation. Solid knowledge of Linux administration, networking, and cloud security principles. Strong troubleshooting and debugging skills across the stack. Excellent communication, documentation, and collaboration abilities. Should demonstrate a willingness to learn and adapt to new technologies and industry trends. Preferred Qualifications (Nice to Have): Experience building and maintaining internal developer platforms or shared infrastructure. Experience with API management platforms (e.g., Apigee, AWS API Gateway, Kong). Hands-on experience with Proofpoint administration, including email security configuration and policy management. Experience with Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and security/compliance controls. Google Workspace Administrator or GCP-related certifications. Experience with Entra ID or other Identity Providers for SSO and federated authentication flows. The expected pay range for this position is $150,289 to $171,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4833 Employee Status: Regular Grade: K Requisition ID: 107201 Work Arrangement : Hybrid Eligible