Better Homecare, Better Health
Platform Engineer
Location
United States
Posted
1 day ago
Salary
$110K - $120K / year
Seniority
Senior
Job Description
Platform Engineer
HHAeXchange
• Own availability, latency, and performance targets for AI platform services and data infrastructure running on AWS • Design and implement monitoring, alerting, and observability frameworks across the platform stack • Lead incident response, root cause analysis, and post-mortem processes for platform-level outages or degradations • Define and track SLOs/SLAs for core platform primitives including RAG pipelines, agent orchestration services, and model access layers • Proactively identify reliability risks and drive engineering improvements before they become production issues • Build and maintain runbooks, disaster recovery procedures, and operational documentation • Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications • Own infrastructure-as-code (IaC) practices across the team using tools such as Terraform or AWS CDK • Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services • Implement and enforce security, compliance, and cost optimization best practices across AWS infrastructure • Automate deployment, scaling, and configuration management to reduce manual operational overhead • Partner with AI Platform Engineers to containerize and operationalize AI services and agent frameworks • Support Data & AI Engineers with environment management, access controls, and deployment tooling for Polaris and data pipeline infrastructure • Serve as the operational backbone for the AI platform team – ensuring engineers can ship and iterate quickly without being blocked by infrastructure concerns • Contribute to our “factory model” vision by making deployment and reliability a repeatable, scalable capability rather than an ad hoc function
Job Requirements
- 3+ years of professional experience in a DevOps, SRE, or platform engineering role
- Hands-on AWS experience required – AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, and related services
- Experience with infrastructure-as-code tools such as Terraform or AWS CDK
- Strong CI/CD experience with tools such as GitHub Actions
- Experience with containerization and orchestration (Docker, ECS, or Kubernetes)
- Familiarity with AI/ML infrastructure patterns – model serving, vector databases, pipeline orchestration (strongly preferred)
- Experience with observability and monitoring tooling (Datadog, CloudWatch)
- Prior experience in a SaaS environment
- Strong verbal and written communication skills with ability to collaborate across technical and non-technical stakeholders
- Self-starter with a proactive approach to identifying and resolving infrastructure risk before it impacts delivery
- Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role.
Benefits
- competitive health plans
- paid time-off
- company paid holidays
- 401K retirement program with a Company elected match
- other company sponsored programs
Related Guides
Related Categories
Related Job Pages
More Platform Engineer Jobs
Senior Software Engineer, Loans Platform
SoFiSoFi helps you save, spend, earn, borrow, invest, and protect your money–all in one app. NMLS 1121636
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Job Description Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
- Design, develop, and maintain solutions using Power Apps (Canvas and Model-Driven), Power Automate, plugins, and Dataverse - Create business rules and automation logic to facilitate data workflows across Power Platform - Integrate solutions with REST APIs - Collaborate with cross-functional teams including backend developers, UX designers, and testers - Maintain and enhance applications through iterative sprints and CI/CD pipelines - Ensure accessibility, performance, and security compliance - Participate in code reviews, sprint planning, and daily standups - Skilled in researching and diagnosing errors and issues, as well as documenting steps and results
• Design and operate distributed systems for scheduling and executing large-scale batch workloads across Kubernetes clusters. • Build and maintain compute platform abstractions. • Optimize utilization of compute resources. • Develop and improve multi-tenant scheduling strategies. • Improve reliability and fault tolerance of large-scale distributed jobs and platform components. • Collaborate with teams across the company to understand workload requirements and improve platform capabilities. • Contribute to platform tooling, automation, and CI/CD workflows.
• Design and operate distributed storage systems for scheduling and executing large-scale batch workloads. • Build and maintain an open source, modern data platform. • Optimize utilization of storage resourcesImprove reliability and fault tolerance of large-scale storage systems and data platform components. • Collaborate with teams across the company to understand workload requirements and improve platform capabilities. • Contribute to platform tooling, automation, and CI/CD workflows.



