Description - External Software Engineer in Public Cloud Platform Engineering (AWS, GCP, Azure) and work with top engineering talent to build innovative cloud platforms for healthcare applications. This role offers a unique opportunity to engage in analysis, design, coding, engineering, testing, debugging, and more. At our company, every position prioritizes quality in every output. Be part of a team that's transforming healthcare delivery through cutting-edge technology. •Building and operating secure cloud platform capabilities that meet business requirements •Innovate to improving efficiency, reducing technical drag, and create usable app patterns •Practice SRE principles, to eliminating repetitive tasks, monitor performance, simplifying work practices, defining outcomes and metrics, and assure operational quality •Manage security controls at the platform layer to enable the organization to operate securely, efficiently, and within policy •Assist multiple partner teams to understand and apply information security guidance and standards with the goal of mitigating information security risks AI Expectations: Will utilize AI tools and applications to perform tasks, make decisions and enhance their work and overall cloud migration velocity. Expected to use AI Powered software for data analysis, coding, and overall productivity. Qualifications - External - Undergraduate degree or equivalent experience. •5+ years of experience as software development engineer or equivalent hands on experience producing code for production systems •2+ years of experience in Public Cloud such as AWS, Azure, GCP beyond basic IaaS functionality •2+ years of experience programming in at least one high-level language (Python, Golang, JavaScript, etc.) •2+ years of experience with the software build cycle •1+ years of engineering experience in building infrastructure using code and repeatable designs •1+ years of experience in automation of CI/CD using GitHub actions or similar and source control system such as Git •1+ years of experience with Agile/lean development practice •1+ years of experience with Terraform Preferred Qualifications: •Experience with containers and orchestration platforms such as Kubernetes •Algorithms, data structures, OO design and other CSCI concepts •API design and lifecycle management (REST, etc.) •Application foundations and frameworks (Spring, Flask, etc.) •Data storage, caching and optimization (NoSQL databases, Redis, PostgreSQL, etc.) •Inter-service messaging and streams discovery (SQS,Pub/Sub Kafka, etc.) •Instrumentation, logging and tracing (Prometheus, CloudWatch, Stack Driver, Azure Monitor etc) •Evidence based approach to making decisions and solving problems •Demonstrated design mindset - capable of building distributed/scalable services Show more Show less

Key Responsibilities: 1. Data Analysis: Analyzing structured and unstructured data to derive actionable insights is crucial for informed decision-making and strategic planning. This ensures that the organization can leverage data to drive business outcomes and improve operational efficiency. 2. Data Architecture Design: Collaborating with the Data Engineering team to design and implement data models, pipelines, and storage solutions is essential for creating a robust data infrastructure. Defining and maintaining data architecture standards and best practices ensures consistency and reliability across data systems. Optimizing data systems for performance, scalability, and security is vital to handle growing data volumes and ensure data integrity and protection. 3. Collaboration and Stakeholder Engagement: Working with business units to understand their data needs and align them with architectural solutions ensures that data initiatives are aligned with business goals. Acting as a liaison between technical teams and business users facilitates effective communication and collaboration, ensuring that data solutions meet user requirements. 4. Data Governance and Quality: Implementing data governance practices to ensure data accuracy, consistency, and security is critical for maintaining high data quality standards. Proactively identifying and addressing data quality issues helps prevent data-related problems and ensures reliable data for analysis and reporting. Qualifications - External 1. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field provides the foundational knowledge required for the role. 2. Experience: 6+ years as a Data Analyst, Data Architect, or similar role ensures that the candidate has the necessary experience to handle complex data tasks and responsibilities. Hands-on experience with data modeling, architecture design, and analytics tools is essential for designing effective data solutions. Proficiency in SQL and data visualization tools enables the candidate to manage and present data effectively. Experience with cloud platforms (e.g., AWS, Azure) is crucial for leveraging modern data infrastructure and services. Familiarity with data warehouse solutions (e.g., Redshift, Snowflake) ensures the candidate can design and manage scalable data storage solutions. Understanding of data governance frameworks and tools is necessary for implementing effective data governance practice Show more Show less