Top Software Engineer Jobs in Birmingham, AL

Own and evolve Buffer's front-end design system and component library for marketing pages. Build performant, accessible, animated React/TypeScript experiences on buffer.com, collaborate with designers and marketers, audit and improve performance and accessibility, and mentor peers on front-end architecture and standards.

Leads Node.js sub-team architecture, technical standards, and complex full-stack development across frontend, mobile, and backend platforms. Builds React, TypeScript, Next.js, React Native, and Node.js features; designs APIs, authentication, caching, and data models; mentors engineers; and owns performance, testing, CI/CD, security, scalability, and HIPAA-compliant delivery.

Staff Software Engineer responsible for technical strategy, architecture, complex feature design, implementation, scalability, and greenfield development. The role mentors engineers, leads design and code reviews, drives technical alignment, addresses technical debt, participates in hiring, and remains a hands-on contributor to full-stack enterprise software development using technologies such as PHP, Laravel, Vue.js, and MySQL.

Lead engineering strategy, architecture, AI-native product development, execution, hiring, and organizational growth. Partner with the CEO, leadership, and Product to build technical roadmaps, establish AI-assisted development and evaluation practices, improve infrastructure and engineering quality, and maintain delivery accountability. This hands-on leadership role requires coding credibility, product collaboration, talent development, cross-functional communication, and ownership of engineering metrics, culture, and technical direction.

Embed with enterprise customers to design, build, deploy, and troubleshoot production communications systems using Telnyx APIs, AI voice, messaging, wireless, SIP, and WebRTC. Lead POCs through production launches, own customer outcomes, document solutions, resolve complex integrations, and collaborate with Product and Engineering on roadmap improvements. Travel 10–30% to customer sites for deployments, workshops, and escalations.

Lead enterprise automation architecture and delivery across RPA, workflow automation, process mining, intelligent automation, testing, bots, citizen development, and AI orchestration. Establish and operate an Automation Center of Excellence, identify high-value use cases, guide implementation, manage governance and regulatory alignment, support training and adoption, and track financial value. Work hands-on with business stakeholders, technology teams, vendors, and external consultants in a regulated life sciences environment.

Build and ship high-quality product features, design robust architectures, lead technical execution, collaborate on product roadmap with leadership and GTM, and take projects end-to-end from planning through CI/CD and productionization.

Lead an IT software engineering and support team responsible for digital platform stability, defect resolution, incidents, and system enhancements. Prioritize requests based on business value, urgency, and feasibility; communicate trade-offs and timelines to stakeholders; establish support and ticketing processes; analyze defect trends; and drive continuous improvement. Champion team adoption of agentic AI coding tools, prompt and context engineering, reusable integrations, and evidence-based verification of AI-generated work.

Designs end-to-end Forward Deployed Engineering curriculum projects for experienced production engineers. Responsibilities include defining technical infrastructure, databases, learning goals, submission guidelines, and assessment rubrics; evaluating current tools and deployment approaches; collaborating with instructional designers; and supporting sales and marketing enablement. The role requires real-world ownership of enterprise AI deployments from initial client engagement through production adoption, strong technical writing, and mentoring or teaching experience.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).