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Get AI-powered advice on this job and more exclusive features. Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. This role is based at our Headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. To Be Successful In This Role, You Need Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Appian by 2x Sign in to set job alerts for "Senior Technical Consultant" roles.Remote IT Support - $70-$90k (Internal, Security) Washington, DC $70,000.00-$90,000.00 1 week ago Opportunity - Want to Join a Great Team and Make a DifferenceIT Assessor Jr.-Secret Clearance (REMOTE) Washington DC-Baltimore Area $85,000.00-$96,000.00 2 weeks ago McLean, VA $112,000.00-$197,500.00 1 week ago Bethesda, MD $80,000.00-$120,000.00 5 months ago Washington, DC $90,000.00-$180,000.00 3 weeks ago Supv IT Specialist (OPERATING SYSTEMS/CUSTOMER SUPPORT) Washington DC-Baltimore Area $155,000.00-$215,000.00 2 weeks ago Chantilly, VA $101,401.00-$114,923.00 4 days ago Washington, DC $120,000.00-$133,000.00 3 weeks ago Arlington, VA $90,000.00-$150,000.00 1 month ago Washington, DC $55,000.00-$65,000.00 2 weeks ago Oxon Hill, MD $97,000.00-$130,000.00 1 week ago We're unlocking community knowledge in a new way. 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Overview Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. Responsibilities To be successful in this role, you need: Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with AWS, AI, Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet

Join to apply for the Synthesis, Place & Route Distinguished Engineer role at Lattice Semiconductor 15 hours ago Be among the first 25 applicants Join to apply for the Synthesis, Place & Route Distinguished Engineer role at Lattice Semiconductor Lattice Overview There is energy here energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for. Lattice Overview There is energy here energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for. Responsibilities Responsibilities & Skills Develop new algorithms for Synthesis, Place and Route Architect software tool flow to achieve quality robustness and efficiency Optimize existing tools to achieve better Fmax, Area, Runtime and Memory usage Collaborate with cross functional teams to define next gen devices and technology Work with Sales, Marketing and Field Applications team to support innovation and customer adoption of our products Assist in management of customer escalations and support tickets Required Skills MS/PhD in Electrical Engineering or Computer Science or Computer Engineering 15+ years of industry experience in developing EDA tools Strong background and experience in data structures and algorithms Experience of logic design and EDA software is a must Proficient with C++ Knowledge in Verilog/VHDL is a plus Experience of FPGA tool development is a plus Experience of multi-processing development is a plus Strong written and verbal communication skills, and collaboration skill Must be able to work independently and also in a team environment Strong analytical and problem solving skills Ability to work in a fast paced environment, prioritize appropriately and manage competing priorities Benefits The base pay for this role is between $240,000 to $300,000 per year. In addition to base salary, we offer an incentive plan bonus and new hire equity for a competitive total compensation package. Lattice recognizes that employees are its greatest asset and the driving force behind success in a highly competitive, global industry. Lattice continually strives to provide a comprehensive compensation and benefits program to attract, retain, motivate, reward and celebrate the highest caliber employees in the industry. Lattice is an international, service-driven developer of innovative low cost, low power programmable design solutions. Our global workforce shares a total commitment to customer success and an unbending will to win. For more information about how our FPGA , CPLD and programmable power management devices help our customers unlock their innovation, visit . You can also follow us via Twitter , Facebook , or RSS . At Lattice, we value the diversity of individuals, ideas, perspectives, insights and values, and what they bring to the workplace. Applications are welcome from all qualified candidates. Lattice Feel the energy.Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSemiconductor Manufacturing Referrals increase your chances of interviewing at Lattice Semiconductor by 2x Sign in to set job alerts for "Distinguished Engineer" roles.Distinguished Software Engineer- RUCKUS EdgeDistinguished Software Engineer- RUCKUS EdgeVice President of Engineering / Bilingual Mandarin San Jose, CA $250,000.00-$300,000.00 2 weeks ago Chief Development Officer (CDO)/VP of Engineering San Jose, CA $279,200.00-$383,900.00 2 weeks ago Mountain View, CA $327,200.00-$400,000.00 1 week ago San Jose, CA $236,800.00-$296,000.00 1 day ago Distinguished Engineer - Optical System ArchitectDistinguished Software Engineer - Machine LearningDistinguished Software Engineer - Ads AIDistinguished Engineer, Demand and Capacity PlanningDistinguished Planning Machine Learning Engineer - Autonomous VehiclesAssociate/ Assistant Systems Design Engineer Sunnyvale, CA $169,000.00-$338,000.00 1 day ago Distinguished Engineer - Data Center System Software ArchitectDistinguished Engineer - Data Center System Software ArchitectDistinguished Systems Software Engineer, Graphics Delivery Network PlatformSenior Distinguished I, Software Engineer - Transactional Systems Revenue and Data Intelligence Sunnyvale, CA $208,000.00-$416,000.00 5 days ago Software Development Engineer, EC2 Instance NetworkingSenior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible) We're unlocking community knowledge in a new way. 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Get AI-powered advice on this job and more exclusive features. Base pay range $160,000/yr - $180,000/yr About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate tech and Silicon Valley investors. For more information, please visit . Role Description As a Senior Data Engineer at Gridware, you will design and scale the data infrastructure that powers our real time grid monitoring platform. You'll build high performance pipelines that transform massive streams of sensor and telemetry data into actionable insights-helping detect faults, predict failures, and strengthen the grid that powers entire communities. Responsibilities Deploy and manage Unity Catalog to standardize data governance, lineage, and access control across data domains. Design, develop, and maintain scalable data pipelines and architectures. Implement data ingestion, transformation, and storage solutions. Ensure data quality and integrity across various data sources and destinations. Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements. Optimize and tune data workflows for performance and efficiency. Monitor, troubleshoot, and resolve issues in data pipelines and related systems. Document data processes, architecture, and workflow procedures. Required Skills 4+ years of experience in data engineering or related roles, building and scaling real time data infrastructure. Experience designing and maintaining data lakes and lakehouse architectures with governance and access controls. Strong in Python and SQL, with deep experience in relational, time series, and streaming databases. Hands on with modern data stacks-Spark, Kafka, Databricks, Grafana, and other cloud native tools. Skilled in data modeling, ETL/ELT pipelines, and real time streaming architectures for production systems. Familiar with CI/CD, version control, and data governance/security best practices. Bonus Skills Experience with real time data processing and streaming analytics frameworks. Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing. Hands on with Docker, Kubernetes, and Protobuf in production environments. Exposure to machine learning workflows and real time monitoring for IoT and time series data. Comfortable operating in a high growth startup environment, adapting quickly across domains. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered). Paid parental leave. Alternating day off (every other Monday). "Off the Grid", a two week per year paid break for all employees. Commuter allowance. Seniority level Mid Senior level Employment type Full time Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Gridware by 2 . Location: San Francisco, CA.

San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best in class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the role: We are looking for a foundational member of the Data Team to enable Skydio to make data driven decisions and build data centric products. You'll build the systems that collect, transform, and store data from tens of thousands of autonomous drones, powering insights that make our vehicles smarter, safer, and more capable. You'll have the opportunity to define our data architecture, champion modern tooling in Databricks and Palantir Foundry, and bring AI assisted analytics to every corner of the company. This is not a back office data role - you'll be working on problems at the intersection of autonomy, AI, and massive scale telemetry, helping Skydio turn raw flight data into intelligence that drives real world impact! Examples of what you'll help build: Predictive models that forecast hardware issues - like propeller or battery failures - before they happen, and automatically trigger the right mitigation steps. 3D maps of cellular and radio connectivity across the operational airspace, helping customers understand where their drones can safely and reliably fly. The company wide data lakehouse that powers analytics, dashboards, and machine learning - built to be secure, scalable, and lightning fast. AI driven data tools that let anyone at Skydio explore data, uncover insights, and build pipelines for their use cases - all in a truly self serve way. How you'll make an impact: Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones - reliably, efficiently, and with the scale to support the next generation of flight intelligence. Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards - turning raw telemetry into accessible, actionable insights. Develop data systems that make our products truly data driven - from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in depth flight telemetry analysis that sharpens drone performance. Create and integrate AI powered tools for data analysis, transformation, and pipeline generation - lowering the technical barrier and democratizing how teams access and build with data. Champion a data driven culture by defining and enforcing best practices for data quality, lineage, and governance, keeping Skydio's data lakehouse secure, performant, and cost effective at scale. Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company - enabling faster, smarter decision making and unlocking AI driven insights end to end. Lead and mentor data engineers, analysts, and stakeholders across Skydio - guiding teams toward better architecture, more reliable data models, and a shared culture of excellence. Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on call rotation for critical data systems. What would make you a good fit: 5+ years of professional experience, including 2+ years in software engineering and 2+ years in data engineering with a bias towards getting your hands dirty. Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications. Proven track record of operating scalable data platforms, defining company wide patterns that ensure reliability, performance, and cost effectiveness. Proficiency in SQL and at least one modern programming language (we use Python), and comfort working across the full data stack - from ingestion and transformation to orchestration and visualization. Strong communication skills, with the ability to collaborate effectively across all levels and functions - from engineers and analysts to senior leadership - and to translate data into clear narratives and decisions. Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization. Familiarity with AI assisted data workflows, including tools that accelerate data transformations or enable natural language interfaces for analytics. Bonus: Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real world hardware. Why Join Us? At Skydio, you'll help shape the future of autonomous flight technology. You'll work alongside world class engineers and domain experts, and you'll be given ownership and autonomy to grow into a leadership role. We offer competitive compensation, excellent benefits, and an opportunity to make a tangible impact in an industry poised for massive growth. Compensation: At Skydio, our compensation packages for regular, full time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $180,000-240,000 . Fundamentally, we believe that equity is the key to long term financial growth, and we ensure all regular, full time employees have the opportunity to significantly benefit from the company's success. Regular, full time employees are eligible to enroll in the Company's group health insurance plans. Regular, full time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. 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 other characteristics protected by federal, state or local anti discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit

San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the role We are looking for a foundational member of the Data Team to enable Skydio to make data-driven decisions and build data-centric products. Examples of what you'll help build Predictive models that forecast hardware issues - like propeller or battery failures - before they happen, and automatically trigger the right mitigation steps. 3D maps of cellular and radio connectivity across the operational airspace, helping customers understand where their drones can safely and reliably fly. The company-wide data lakehouse that powers analytics, dashboards, and machine learning - built to be secure, scalable, and lightning-fast. AI-driven data tools that let anyone at Skydio explore data, uncover insights, and build pipelines for their use cases - all in a truly self-serve way. How you'll make an impact Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones - reliably, efficiently, and with the scale to support the next generation of flight intelligence. Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards - turning raw telemetry into accessible, actionable insights. Develop data systems that make our products truly data-driven - from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis that sharpens drone performance. Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation - lowering the technical barrier and democratizing how teams access and build with data. Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance, keeping Skydio's data lakehouse secure, performant, and cost-effective at scale. Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company - enabling faster, smarter decision-making and unlocking AI-driven insights end-to-end. Lead and mentor data engineers, analysts, and stakeholders across Skydio - guiding teams toward better architecture, more reliable data models, and a shared culture of excellence. Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems. What would make you a good fit 5+ years of professional experience, including 2+ years in software engineering and 2+ years in data engineering with a bias towards getting your hands dirty. Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications. Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness. Proficiency in SQL and at least one modern programming language (we use Python), and comfort working across the full data stack - from ingestion and transformation to orchestration and visualization. Strong communication skills, with the ability to collaborate effectively across all levels and functions - from engineers and analysts to senior leadership - and to translate data into clear narratives and decisions. Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization. Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics. Bonus: Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real-world hardware. Why Join Us At Skydio, you'll help shape the future of autonomous flight technology. You'll work alongside world-class engineers and domain experts, and you'll be given ownership and autonomy to grow into a leadership role. We offer competitive compensation, excellent benefits, and an opportunity to make a tangible impact in an industry poised for massive growth. Compensation At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $180,000-240,000 . Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. EEO Statement At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. 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 other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting edge research and development in real time and offline 2D and 3D algorithms. The successful candidate will be a hands on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production ready systems that power our next generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real time 3D mapping, pose estimation, and environmental modeling from multi modal sensor inputs (e.g., RGB D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross functional teams. Publication & IP: Maintain state of the art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. 2D/3D Fundamentals: In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to haves: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the location of San Francisco: $218,400 - $273,000 USD

About JazzX AI Enterprises operating on institutional intelligence-governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work by building AI-native digital workers that actually get the job done. Vision: Enterprises operating on institutional intelligence-governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work-by building AI-native digital workers that actually get the job done. We believe enterprises don't scale expertise-they lose it. Knowledge stays trapped in individuals, judgment is applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale-in domains where getting it wrong isn't an option. We are starting with lending and due-diligence workflows-complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries. This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes-not demos, not chatbots-JazzX AI is the place. Headquartered in Los Altos, CA. Backed by SAIGroup. About SAIGroup SAIGroup is a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup's portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide - providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one. Learn More About JazzX AI Website: LinkedIn: Learn More About SAIGroup Website: Staff Software Development Engineer As a Staff Software Development Engineer at JazzX, you'll define the technical vision for our enterprise AI platform, mentor senior engineers, and oversee the design, development, and deployment of critical AI, software, and infra services and components. You'll be responsible for ensuring the platform's scalability, reliability, security and observability. What You Will Do Design and Architect Scalable Solutions: Lead the design and development of high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability. Champion a cloud-first, cloud-agnostic approach to ensure platform versatility, scalability, and future-proof architecture. Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability. Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. Collaborative Innovation Foster a collaborative environment by working closely with cross-functional teams (AI/research engineers, software engineers, architects, product managers, and designers) to translate complex platform and product requirements into elegant, scalable, and modular AI, software and infrastructure components. Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences. Provide mentorship and guidance to junior engineers, fostering their growth and development. Driving Operational Excellence Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners. Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. Requirements Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++. Solid understanding of distributed systems concepts and experience with distributed tracing tools. AI/ML Experience Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus. Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex, AutoGen etc. is a strong plus. Why Join JazzX AI What draws people to JazzX AI is the opportunity to build something truly foundational. We are at the beginning of a new era - one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you'll help build a platform that redefines how work happens in the AGI era. JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it's about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments. If you're motivated by building systems that matter - systems that combine intelligence with responsibility - JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.

Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd , Slideshare , Everand , and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in person moments that strengthen collaboration and culture. Occasional in person attendance is required for all Scribd, Inc. employees, regardless of location. About the Team The ML Data Engineering team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high quality metadata to enable content discovery and trust for millions of users worldwide. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM powered solutions in production. Role Overview We're seeking a Senior Software Engineer with deep experience building event driven, distributed, and scalable systems in Python. In this role, you'll design and optimize large scale data and service pipelines running on AWS, supporting Scribd's content enrichment and metadata systems. You'll work closely with cross functional teams to design reliable backend services that integrate machine learning models and LLM based components when needed. This role offers the opportunity to work on cutting edge generative AI and metadata enrichment problems at a truly global scale. Tech Stack Our backend systems are primarily built in Python, leveraging AWS services such as Lambda, ECS, SQS, and ElastiCache for event driven and distributed processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability. Key Responsibilities Provide technical leadership, mentorship, and guidance to engineers across the organization, driving secure coding best practices. Lead the design, implementation, and scaling of event driven, distributed systems to extract, enrich, and process metadata from large scale document and media datasets. Partner with Data Science, Infrastructure, ML Engineering, and Product teams to architect and deliver robust systems that balance scalability, high performance, and rapid iteration. Contribute to the team's engineering strategy, identifying gaps, proposing new initiatives, and improving existing frameworks. Build and maintain scalable APIs and backend services for high throughput content processing. Leverage AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch) to design and deploy resilient, high performance systems. Optimize and refactor existing backend systems for scalability, reliability, and performance. Ensure system health and data integrity through monitoring, observability, and automated testing. Requirements 7+ years of professional software engineering experience with a focus on backend or distributed systems development. Strong proficiency in Python (5+ years). Experience with Scala is a plus. Expertise in designing and architecting large scale event driven and distributed systems. Strong cloud expertise with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.). Experience with infrastructure as code tools like Terraform. Solid understanding of system performance, profiling, and optimization. Experience leading technical projects and mentoring engineers. Bachelor's degree in Computer Science or equivalent professional experience. Bonus: Familiarity with data processing frameworks (Spark, Databricks) and workflow orchestration tools. Bonus: Experience integrating ML or LLM based models into production systems. Compensation In the United States, the reasonably expected salary range for this role in San Francisco is $146,500 to $228,000. Outside California, the range is $120,000 to $217,000. In Canada, the range is $153,000 CAD to $202,000 CAD. Compensation is determined within a range and may vary based on geographic market and experience. This position is eligible for equity ownership and a comprehensive benefits package. Working at Scribd, Inc. Employees must have their primary residence in or near one of the following cities: United States: Atlanta Austin Boston Dallas Denver Chicago Houston Jacksonville Los Angeles Miami New York City Phoenix Portland Sacramento Salt Lake City San Diego San Francisco Seattle Washington D.C. Canada: Ottawa Toronto Vancouver Mexico: Mexico City Benefits At Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing at any point in the interview process. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are preferred. Position type: W2 contract. Requirement: We are seeking an experienced and proactive Senior AI Engineer to join our team. The ideal candidate will have a strong background in AI/ML, hands-on experience with large language models, and proven ability to drive innovation and implementation in a collaborative environment. You will collaborate with offshore teams and liaise directly with the client to ensure project deliverables are met on time and to expectations. Responsibilities: Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow. Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering. Work with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex to integrate AI capabilities. Build and maintain MLOps pipelines using Docker, Kubernetes, and monitoring tools for scalable and reliable deployment. Develop APIs and endpoint services using FastAPI or Flask. Collaborate with offshore teams to drive solution implementation and ensure alignment with project timelines. Engage with the client for ongoing communication, requirement gathering, and expectation management. Leverage solid knowledge of data structures, algorithms, and distributed systems to optimize solutions. Skills & Qualifications: Strong experience with Python programming and ML frameworks (PyTorch, TensorFlow Hands-on experience with LLMs, embeddings, vector databases, RAG, and prompt engineering. Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex. Proficiency with Docker, Kubernetes, and MLOps pipelines. Experience in API development (FastAPI, Flask Solid understanding of data structures, algorithms, and distributed systems. Excellent communication skills and ability to coordinate with offshore teams and clients. Proven track record of driving projects from conception to delivery in a collaborative environment.

Location Mountain View, CA Employment Type Full time Location Type On-site Department Engineering Compensation $165K - $200K At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more - all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide - more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune's Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role As a Senior Fullstack Engineer, you'll be critical to designing, developing, and supporting both backend and frontend logic for our innovative healthcare AI applications. You'll be instrumental in building scalable, robust, and reliable systems that empower healthcare providers to deliver better patient care. You'll thrive in our collaborative team environment, where your innovative ideas are valued and you're challenged to create elegant solutions to complex problems. You will actively participate in the design and development of new features and contribute to the ongoing evolution of our architecture. You'll quickly grasp complex concepts and leverage your extensive experience to identify areas for improvement and drive impactful change. This role is a full time position and requires working 5 days a week in our Mountain View, CA office. What You'll Do Design and Develop: Build and maintain scalable, healthcare AI applications using Java and React. Architect Solutions: Design robust, performant, and maintainable system architectures, focusing on cloud application best practices. Collaborate: Work closely with product managers, designers, and other engineers to translate requirements into effective solutions. Optimize Performance: Proactively identify and resolve performance bottlenecks to ensure high application availability and efficiency. Innovate: Contribute to the development of cutting edge features leveraging the power of AI and machine learning. Code Review: Participate in code reviews to foster knowledge sharing and best practices across the team. Maintain Quality: Write thorough tests and documentation to ensure code quality and maintainability. Deployment and Support: Assist with the development, deployment, and support of on prem and cloud based solutions, spanning from internal development to customer production systems. What You Have Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 4+ years of professional software development experience with a focus on full stack development, including backend APIs, frontend UI, system integrations, and user authentication. Deep expertise in Java programming, including experience designing and implementing highly optimized and scalable architectures. Experience with building enterprise grade full stack applications using Spring Boot, React, UX design frameworks, and relational and document databases. Proven experience in developing and deploying cloud based applications (e.g., AWS, Azure, GCP). Solid understanding of RESTful API design principles and experience building and consuming REST APIs. Strong experience with relational databases, including Oracle, PostgreSQL, and document databases, including MongoDB and derivatives. Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non technical audiences. Bonus points for: Experience in the healthcare domain, including HL7 and FHIR. Experience with AI/ML concepts and frameworks. Experience with CI/CD pipelines and automated testing frameworks. Working knowledge of containers (e.g., Docker) and orchestration tools (e.g., Kubernetes). Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Compensation Range: $165K - $200K