Full-stack Engineer

• Own end-to-end delivery of product capabilities across data, services, and UI from concept to production rollout
• Lead architecture and technical decisions across streaming, big data processing, APIs, data modeling, and user-facing experiences
• Establish an AI-enabled development workflow across requirements, design, implementation, code review, documentation, and incident/RCA support
• Create reusable prompts, templates, and guardrails for safe, repeatable AI-assisted development
• Design and ship AI-assisted decision support with real-time inference, explainability, summarization, alerting, measurable outcomes, and human-in-the-loop controls
• Own and evolve API contracts, including validation, naming, backward-compatible changes, and deprecation strategy
• Drive data quality and identity governance through reliable master data practices
• Own performance and reliability by defining latency/throughput targets, designing failure handling, and maintaining SLOs
• Mentor and develop the team through code reviews, pairing, design reviews, and coaching
• Translate business needs into technical plans and align with product, program, data, and partner teams
• Communicate progress and tradeoffs clearly
• Improve service levels, reduce operational costs, and accelerate decision cycles through insights and automation

Lead Engineer, Integrated Planning System

• Architect and deliver core components of Aerovy’s cloud platform serving real-time applications across energy, IoT, telematics, and AI
• Own features end-to-end from concept to launch
• Function independently and proactively with support from the team
• Drive delivery end-to-end from provided requirements
• Collaborate with cross-functional teams to deliver business-critical features and services
• Own the reliability, scalability, maintainability, and performance of critical production systems

Senior Software Engineer

• Confer with stakeholders and IT leaders to understand business problems or improvement opportunities and identify software solutions
• Analyze moderate-risk business needs to determine solutions
• Design solutions on various platforms by studying requirements and information needs
• Translate moderately complex system requirements into code using multiple programming languages and/or tools
• Develop and modify code and system setup based on program specifications
• Apply CI/CD
• Perform unit testing and test automation and document test results
• Participate in testing for cross-functional project teams
• Produce technical documentation and notifications for production changes or fixes
• Create SDLC artifacts
• Analyze and resolve moderate-risk production problems, including performance tuning, troubleshooting, debugging, call rotation, and root cause analysis
• Support project initiatives and collaborate with the design team to meet development milestones and deadlines
• Provide feedback to peers on designs
• Provide input to IT process standardization and ensure application of IT standards and requirements
• Participate in continuing education and improve knowledge of Premera’s business and relevant technologies

Software Development Engineer II

• Lead the design, development, configuration, and automation of AI infrastructure clusters
• Develop infrastructure-as-code, automation, and provisioning systems for compute, networking, and storage
• Deploy and optimize Kubernetes, container, and distributed computing platforms
• Optimize GPU, networking, storage, and system performance for large-scale AI workloads
• Troubleshoot complex issues across hardware, operating systems, networking, storage, and software stacks
• Build reliability, observability, and operational excellence practices for mission-critical infrastructure
• Support the platform from server and rack installation through software deployment, networking, configuration, cluster bring-up, and automation
• Help make the platform operational and ready for customer workloads
• Shape architecture, tooling, and culture as an early engineer on the team

Staff Data Center Infrastructure Software Engineer

• Design, develop, configure, and automate AI infrastructure clusters
• Develop infrastructure-as-code, automation, and provisioning systems for compute, networking, and storage
• Deploy and optimize Kubernetes, container, and distributed computing platforms
• Optimize GPU, networking, storage, and system performance for large-scale AI workloads
• Troubleshoot complex issues across hardware, operating systems, networking, storage, and software stacks
• Build reliability, observability, and operational excellence practices for mission-critical infrastructure
• Support platform operation from server and rack installation through software deployment, networking, configuration, cluster bring-up, and automation
• Help shape architecture, tooling, and culture as an early engineering team member

Senior Data Center Infrastructure Software Engineer

• Own and evolve infrastructure supporting Billing Platform services, including compute, storage, networking, CI/CD, and observability
• Design and maintain Terraform infrastructure as code for billing systems on AWS
• Set reusable Terraform module patterns and infrastructure standards for the team
• Build and own observability systems covering metrics, logging, and alerting
• Improve billing accuracy and payment reliability through observability
• Define deployment patterns and runbooks for AI-agent-assisted development workflows
• Establish rollback procedures, safe promotion gates, and automated validation
• Partner with software engineers on service design and operational requirements
• Identify systemic risks and drive improvements across organizational boundaries
• Lead incident response for billing system issues
• Participate in an on-call rotation outside standard business hours as needed
• Mentor engineers across the team
• Ship infrastructure improvements from design through production and shape technical direction

Staff Software Engineer, Billing

• Deliver GTM stack projects, including tool implementations, integrations, routing/handoff/lifecycle automation, and cross-tool enhancements, from design through testing, rollout, and enablement
• Handle tier 2 escalations involving flow errors, integration failures, data model questions, and cross-system issues; identify root causes and ship durable fixes
• Build and maintain integrations and data flows using iPaaS tooling such as Fivetran and APIs
• Keep account ownership, territories, routing, and product catalog data consistent across Snowflake, Salesforce, and downstream tools
• Build AI-powered workflows using AI agents, LLM-based automation, and MCP integrations
• Perform Salesforce work including complex flows, data model changes, permission architecture updates, sandbox management, and release management
• Contribute to solution design, requirements, architecture, tradeoff analysis, and downstream impact assessment
• Coordinate with vendors on implementations, support cases, and proofs of concept; evaluate new tools hands-on
• Document builds, establish reusable patterns, and mentor the IC2 engineer on troubleshooting and configuration
• Partner with the Technical Program Manager and senior engineers on scoped initiatives

Senior GTM Engineer

• Set the company’s multi-year technical strategy as the senior-most individual contributor in Technology, reporting to the Chief Technology Officer
• Define and publish enterprise target architecture across originations, servicing, marketplace, data, and AI
• Own enterprise agent architecture and common agent foundation across business and engineering workflows
• Establish governed agent access to capabilities, data, and tools using Model Context Protocol
• Define agent identity, authorization, observability, evaluation, cost controls, audit records, and human-decision boundaries
• Set strategy for migrating transactional workloads to AWS and analytical workloads to Databricks
• Own resilience and recovery architecture for the target state
• Define change-data-capture ingestion, streaming, and modern warehouse architecture
• Architect real-time pricing, credit-model serving, scorecard updates, and large-scale experimentation
• Own unified vehicle inventory, consumer search, and lead-routing architecture
• Define AI-native software specification, generation, review, testing, and deployment practices
• Own performance instrumentation, one-second page response standards, peak readiness, and degradation levers
• Move systems toward owned platforms with explicit contracts and incremental delivery
• Participate hands-on in design reviews, proofs of concept, code reviews, and incident analysis
• Develop staff and principal engineers and raise technical standards across the organization
• Ensure security, privacy, auditability, and regulatory obligations are design inputs

Distinguished Software Engineer

• Lead the design and implementation of robust low-latency services and APIs
• Develop scalable multi-tenant architectures
• Build and refine forward and reverse proxies for performance and security
• Implement observability tools for monitoring and alerting across services
• Leverage AI development tools and agentic frameworks for coding, testing, and problem-solving
• Guide and mentor junior developers
• Take initiative in architectural decisions and integrate team feedback
• Evaluate emerging technologies and methodologies to improve system architectures and development practices

Principal Software Development Engineer

• Lead design and development of scalable, cloud-native AI-powered software systems and intelligent automation solutions
• Translate domain-level strategies into system-level implementations
• Ensure architectural integrity and reliability
• Drive operational excellence through technical guidance, code reviews, and strategic architectural decisions
• Champion DevOps and CI/CD practices for resilient, observable, and performant services
• Mentor engineers across teams
• Identify and resolve architectural bottlenecks
• Automate manual processes and improve engineering velocity
• Collaborate with stakeholders to align technical solutions with business objectives
• Contribute to Walmart Global Tech's Marketplace Engineering team, which powers Walmart's global eCommerce platform and tools for storefront management, pricing, and inventory control