Top Software Engineer Jobs in Birmingham, AL

Develop high-quality, scalable, and maintainable Java software with a small collaborative team. Apply test-driven development, deliver low-maintenance solutions, and coach client teams on modern software development practices. The role supports continuous learning through training and personal development opportunities, with flexibility to work remotely from anywhere.

Lead architecture and development of mobile apps for Web3 products. Define mobile standards, integrate wallets and blockchain networks, drive performance and reliability, mentor engineers, own releases and product stability, and collaborate with product, design, and backend teams.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

Build interactive prototypes and run rapid user experiments across the full stack, including frontend, backend, and APIs. Shape product direction through hypothesis-driven development, user curiosity, fast iteration, and evidence-based decisions. The role requires broad engineering skills, comfort with ambiguity, and effective use of AI-assisted development tools such as Copilot, Cursor, or Claude.

Lead and coach a team of 4–8 engineers while providing technical direction, architectural oversight, and hands-on coding support. Partner with Product and Design on roadmaps, technical strategy, and delivery improvements. Promote software quality, reliability, and stability; lead incident response and post-mortems; and collaborate with engineering managers and stakeholders to reduce dependencies and support customer success.

Support customers with complex database integration issues while contributing directly to Airbyte’s Java and Kotlin open-source connectors. Troubleshoot replication, CDC, query performance, authentication, networking, schema evolution, and warehouse or lake destinations. Reproduce bugs, inspect logs and query plans, improve connector reliability, review community contributions, and collaborate with Engineering, Product, Solutions, Sales, and Customer Success. The role also includes technical documentation, mentoring support engineers, customer onboarding, and developing AI-assisted troubleshooting processes.

Build and scale Netflix TVUI test infrastructure, including orchestration services, CLI tools, device fleets, observability, and large-scale test execution. Develop screenshot, end-to-end, performance, and on-device testing capabilities; improve parallelization, sharding, test selection, stability, and runtime performance. Own system reliability, incident response, and strategic infrastructure investments while collaborating with TV UI engineers across a distributed team.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Principal Software Engineer responsible for operating and improving business-critical data pipelines and infrastructure. Duties include developing monitoring, alerting, logging, CI/CD workflows, scalable data integrations, automated testing, deployment automation, and production support. The role troubleshoots workflow failures, data-quality issues, performance bottlenecks, and infrastructure incidents while collaborating with data engineers, platform engineers, and architects. Preferred experience includes Databricks, Spark, AWS, Terraform, Unity Catalog, Delta Lake, observability, identity management, and enterprise data platform governance.