\nBeware of fraudulent recruitment activities impersonating Degreed. Scammers are using our name, “Degreed”, impersonating our website, and claiming to be affiliated with Degreed as part of a recruitment scam. Please note that Degreed does not recruit talent through WhatsApp, Telegram or any other direct-messaging systems other than Degreed.com e-mail and, during the interview process, phone numbers. We also do not request sensitive personal or financial information in an unsolicited manner, nor do we offer employment opportunities that require upfront payments or promise unrealistic returns.\n\nDegreed is the upskilling platform that connects learning to opportunities. We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—and match everyone to growth opportunities that fit their unique skills, roles, and goals.\n\nThe Degreed Client Experience (CX) team plays a crucial role in ensuring customer satisfaction and success. The CX teams’ deep knowledge allows them to strategically guide clients, providing tremendous value. The CX team actively participates and assists clients with their learning journeys and transformations. The candidate will be working closely with the CX technical teams to design and maintain client support workflows powered by AI.\n\nThis role will be based onsite in Bengaluru, India. After an in-office onboarding period, incumbents are expected to be available in office for a few days per week as part of hybrid work model.  Candidates will also be required to travel internationally 1-2 times annually for full company gatherings.\nDay in the Life\n\n\n* Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions. \n\n* Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs. \n\n* Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability. \n\n* Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation. \n\n* Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies. \n\n* Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience. \n\n* Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code. \n\n* Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform. \n\n* Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team. \n\n* Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors. \n\n* Influence, educate and directly support the analytics application engineering capabilities of our clients \n\n\n\nWho You Are\n\nWe seek outstanding individuals to join our outstanding teams. As a Lead AI Software Engineer you not only want to deliver great products, you also want to collaborate with other great engineers:\n\n\n* 5+ years at Senior or Staff level, or equivalent Software Development Experience\n\n* Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS \n\n* Experience with server-side technologies such as, Django, Flask, Fast API\n\n* Experience with Cloud platforms and services (AWS, Azure, GCP) via Terraform Automation (good to have)\n\n* 2+ years of Python \n\n* Experience with Git for versioning and collaborating \n\n* Experience with DevOps, CI/CD, Github Actions \n\n* Exposure to LLMs, Prompt engineering, Langchain a plus \n\n* Experience with workflow orchestration - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other \n\n* Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes \n\n* Strong interpersonal and communication skills, including the ability to explain and discuss complex engineering technicalities with colleagues and clients from other disciplines at their level of cognition  \n\n* Curiosity, proactivity and critical thinking  \n\n* Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance. \n\n* Strong knowledge in designing API interfaces \n\n* Knowledge of data architecture, database schema design and database scalability \n\n* Agile development methodologies \n\n\n\n\n \n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker, Travel, DevOps, Cloud, HTML, Git, API, Senior and Engineer jobs that are similar:\n\n $82,500 — $127,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBengaluru, Karnataka, India

\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, NoSQL, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWhat You’ll Do:\n\nWe’re looking for a talented and intensely curious Senior AWS Cloud Engineer who is nimble and focused with a startup mentality.  In this newly created role you will be the liaison between data engineers, data scientists and analytics engineers.  You will work to create cutting-edge architecture that provides the increased performance, scalability and concurrency for Data Science and Analytics workflows.\n\n Responsibilities\n\n\n* Provide AWS Infrastructure support and Systems Administration in support of new and existing products implemented thru: IAM, EC2, S3, AWS Networking (VPC, IGW, NGW, ALB, NLB, etc.), Terraform, Cloud Formation templates and Security: Security Groups, Guard Duty, Cloud Trail, Config and WAF.\n\n* Monitor and maintain production, development, and QA cloud infrastructure resources for compliance with all Six Pillars of AWS Well-Architected Framework - including Security Pilar.\n\n* Develop and maintain Continuous Integration (CI) and Continuous Deployment (CD) pipelines needed to automate testing and deployment of all production software components as part of a fast-paced, agile Engineering team. Technologies required: ElastiCache, Bitbucket Pipelines, Github, Docker Compose, Kubernetes, Amazon Elastic Kubernetes Service (EKS), Amazon Elastic Container Service (ECS) and Linux based server instances.\n\n* Develop and maintain Infrastructure as Code (IaC) services for creation of ephemeral cloud-native infrastructure hosted on Amazon Web Services (AWS) and Google Cloud Platform (GCP). Technologies required: AWS AWS Cloud Formation, Google Cloud Deployment Manager, AWS SSM, YAML, JSON, Python.\n\n* Manage, maintain, and monitor all cloud-based infrastructure hosted on Amazon Web Services (AWS) needed to ensure 99.99% uptime. Technologies required: AWS IAM, AWS Cloud Watch, AWS Event Bridge, AWS SSM, AWS SQS, AWS SNS, AWS Lambda and Step Functions, Python, Java, RDS Postgres, RDS MySQL, AWS S3, Docker, AWS Elasticsearch, Kibana, AWS Amplify.\n\n* Manage, maintain, and monitor all cloud-based infrastructure hosted on Amazon Web Services (AWS) needed to ensure 100% cybersecurity compliance and surveillance. Technologies required: AWS SSM, YAML, JSON, Python, RDS Postgres, Tenable, CrowdStrike EPP, Sophos EPP, Wiz CSPM, Linux Bash scripts.\n\n* Design and code technical solutions that improve the scalability, performance, and reliability of all Data Acquisition pipelines. Technologies required: Google ADs APIs, Youtube Data APIs, Python, Java, AWS Glue, AWS S3, AWS SNS, AWS SQS, AWS KMS, AWS RDS Postgres, AWS RDS MySQL, AWS Redshift.\n\n* Monitor and remediate server and application security events as reported by CrowdStrike EPP, Tenable, WIZ CSPM, Invicti\n\n\n\n\nWho you are:\n\n\n* Minimum of 5 years of System Administration or Devops Engineering experience on AWS\n\n* Track record of success in System Administration, including System Design, Configuration, Maintenance, and Upgrades\n\n* Excels in architecting, designing, developing, and implementing cloud native AWS platforms and services.\n\n* Knowledgeable in managing cloud infrastructure in a production environment to ensure high availability and reliability.\n\n* Proficient in automating system deployment, operation, and maintenance using Infrastructure as Code - Ansible, Terraform, CloudFormation, and other common DevOps tools and scripting.\n\n* Experienced with Agile processes in a structured setting required; Scrum and/or Kanban.\n\n* Security and compliance standards experience such as PCI and SOC as well as data privacy and protection standards, a big plus.\n\n* Experienced in implementing Dashboards and data for decision-making related to team and system performance, rely heavily on telemetry and monitoring.\n\n* Exceptional analytical capabilities.\n\n* Strong communication skills and ability to effectively interact with Engineering and Business Stakeholders.\n\n\n\n\nPreferred Qualifications:\n\n\n*   Bachelor's degree in technology, engineering, or related field\n\n*   AWS Certifications – Solutions Architect, DevOps Engineer etc.\n\n\n\n\nWhy Spotter:\n\n\n* Medical and vision insurance covered up to 100%\n\n* Dental insurance\n\n* 401(k) matching\n\n* Stock options\n\n* Complimentary gym access\n\n* Autonomy and upward mobility\n\n* Diverse, equitable, and inclusive culture, where your voice matters\n\n\n\n\nIn compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $100-$500K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Docker, Testing, DevOps, Cloud, Senior, Engineer and Linux jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLos Angeles, California, United States