Design, build, and maintain scalable backend systems and data pipelines to generate point-of-care insights; collaborate with product and engineering stakeholders; mentor junior engineers; ensure solutions are secure, performant, maintainable, and support analytics and unified metrics collection.
As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.
The Insights team empowers Point-of-Care (PoC) teams and stakeholders with actionable insights and data-driven intelligence so that the Aledade Overlay (across all modalities) delivers measurable clinical impact, backed by robust analytics infrastructure and unified metrics collection and storage. We transform complex PoC data into clear signals (e.g., breakage detection, experimentation, viewing rate analytics) that drive Overlay adoption, detect issues early, and optimize the provider experience at the point of care.
Primary Duties:
- Develop and implement scalable and performant solutions.
- Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.
- Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field.
- 3+ years of experience working with SQL or other database querying language on large multi-table data sets.
- 4+ years experience as an engineer building backend applications as part of a cross-functional team.
- 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 2+ years of experience coaching other engineers.
Preferred KSA’s:
- 2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift.
- 3+ years of working in backend languages like Python, Java, Node.js etc.
- Experience in designing, building and optimizing data pipelines and ETL processes.
- Proficiency in working with large datasets and knowledge of data storage technologies.
- Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis.
- In-depth knowledge of database systems.
- Experience in performance monitoring and optimization of data systems and infrastructure.
- Experience building Data pipelines using Kafka or similar stack.
- Familiarity with database replication, sharding and other techniques for scalability and high availability of databases.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity building continuous integration and continuous deployment(CI/CD) pipelines.
- Familiarity with security and systems that handle sensitive data.
Physical Requirements:
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Similar Jobs
Machine Learning • Payments • Security • Software • Financial Services
Lead and mature detection and incident response lifecycle, run day-to-day SOC operations, manage on‑call readiness, drive SIEM detections and automation, coordinate cross‑team responses, maintain playbooks and run readiness exercises, mentor analysts, and ensure regulatory and post‑incident improvements.
Top Skills:
Cloud SecurityEdrElasticEndpoint SecurityFedrampHipaaIdentity And Access ManagementIds/IpsIso 27035JIRAMitre Att&CkNist 800-61Pci DssServicenowSIEMSoc 2SplunkThreat Intelligence
Machine Learning • Payments • Security • Software • Financial Services
Lead and develop a team of automation engineers, own test automation backlog and frameworks, drive UI/API/performance testing, integrate AI-driven testing practices, collaborate cross-functionally, hire and mentor staff, and contribute hands-on to automation and CI/CD improvements.
Top Skills:
Agentic AiApache JmeterAWSAzureBitbucketCi/CdContainerizationCypressGCPGenerative AiGithub ActionsJavaScriptJenkinsMonitoringObservabilityPlaywrightPostmanPrompt EngineeringPythonRest ApisSeleniumTypescript
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound/warm insurance leads, consult customers to recommend Property & Casualty coverage, close sales, complete paid licensing and training, and work designated remote shifts while meeting work-at-home technical and residency requirements.
Top Skills:
CableDslFiberPcWired High-Speed Internet (100 Mbps Down / 20 Mbps Up)
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
