Top Software Engineer Jobs in Birmingham, AL

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Develop and support automotive IoT solutions integrating OT data (PLCs, robots) with IT systems. Implement data ingestion (MQTT, ETL), work with relational/NoSQL databases, perform capability studies and statistical analysis, and build BI reports/dashboards.

Develop and architect scalable iOS applications serving millions of users. Collaborate with Product, Design, and Engineering to deliver features, promote clean architecture and iOS best practices, monitor performance and crash analytics, and guide technical excellence. Requires strong Swift, SwiftUI, MVVM, API integration, persistence, testing, and code quality expertise.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Leads an engineering team delivering Quoting, Catalog Management, and go-to-market technology. Oversees technical decisions, delivery planning, code reviews, quality assurance, release planning, incident resolution, stakeholder collaboration, and team development. Partners with Sales, Product, RevOps, and Data Analytics leaders while driving scalable solutions across Salesforce CPQ, Product Catalog, and related systems. Champions AI-assisted development and contributes to complex architecture and implementation efforts.

Leads BECU’s API platform strategy, engineering and delivery teams, technology roadmaps, governance, budgeting, vendor partnerships, and agile execution. Oversees scalable, secure APIs using C#/.NET on Azure, GraphQL, and REST; advances API lifecycle standards, CI/CD, quality, security, observability, and cloud-native practices. Builds high-performing teams through coaching, supports modernization initiatives, aligns technology with business goals, and promotes responsible AI-enabled engineering tools.

Build and maintain engineering-led business systems supporting CRM, revenue operations, sales, and growth. Develop integrations, internal tooling, automations, and AI-powered production workflows across the modern go-to-market stack. Write and deploy code through Git and CI/CD, collaborate with non-engineering stakeholders, evaluate no-code and low-code solutions, and establish maintainable release practices for a growing Business Systems team.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Leads marketing technology architecture, integrations, platform governance, and technical enablement. Designs cloud-native, API-driven solutions across Adobe, Salesforce, CDP, CRM, analytics, and AI platforms; oversees data models, identity resolution, observability, security, and operational health. Manages roadmap prioritization, budgets, vendors, implementations, and a technical team. Establishes AI governance and enables responsible use of generative, predictive, and agentic capabilities across marketing and customer engagement workflows.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.