Top Software Engineer Jobs in Birmingham, AL

Designs and leads large-scale software subsystems, architecture, coding standards, code reviews, debugging tools, performance optimization, refactoring, and QA automation. Guides business and technical solution definition, evaluates production readiness using objective metrics, and develops web content management, workflow automation, integrations, and database solutions. The role is telecommuting eligible throughout the United States.

Develop and deploy automated system tests for distributed software systems. Build test beds, unit tests, automation tools, and infrastructure; collaborate with developers and QA teams; create test plans and ensure coverage; review system requirements and test cases; and improve testing methodologies and efficiency using software development and coding.

Designs, develops, and maintains automated test frameworks and suites for complex API and web applications. Tests software functionality, performance, scalability, and database integrations; debugs defects and verifies fixes. Collaborates with engineering, QA, product, and cross-functional teams on test strategy, code reviews, sprint planning, and root-cause analysis. Contributes to CI/CD automation and creates test plans, cases, procedures, and reports.

Build complex components for a federal supply chain and logistics platform. Set technical direction, coding standards, and design practices; decompose specifications into deliverable increments; make and document technical decisions; review code; mentor engineers; and develop containerized services integrated with legacy systems through secure DevSecOps pipelines. The role is fully remote within the United States and supports a federal health customer.

The role involves leading frontend development, maintaining UI components, overseeing CI/CD pipelines, mentoring engineers, and enhancing application performance in collaboration with cross-functional teams.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

Develop, test, implement, optimize, and maintain scalable software systems. Collaborate with product managers, designers, and engineers; troubleshoot technical issues; conduct code reviews; contribute to architecture decisions; follow secure coding practices; and participate in Agile ceremonies.

Build and scale global payments and treasury systems using resilient, event-driven, microservice-based architecture. Design and implement cloud-native services, client-facing APIs, distributed systems, payment rails, financial ledgers, and reconciliation solutions. Collaborate independently and across teams, troubleshoot complex issues, maintain high-quality tested code, and contribute to technical and product goal definition.

Design and evolve core data models and durable APIs for complex communications networks. Build, test, operate, and maintain production-grade interfaces and abstractions for heterogeneous physical and logical networks while ensuring compatibility, consistency, quality, and performance. Manage project priorities, timelines, and deliverables within the Spacetime engineering team.

Develop software applications, resolve system problems, ensure timely project delivery, and utilize standard coding techniques in a team environment.

The Software Engineer III develops software solutions, performs systems analysis, provides production support, and mentors junior developers, focusing on enhancing operations and efficiency.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Lead forward-deployed engineering engagements for strategic enterprise customers, diagnosing and resolving complex Windows deployment, management, update, application, performance, reliability, and security issues. Build automation, scripts, diagnostic tools, prototypes, and technical solutions; collaborate with Windows and Intune engineering teams on product fixes; and convert customer solutions into reusable playbooks and tools. Communicate findings to technical and executive stakeholders while delivering measurable improvements to Windows install-base health.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Design and implement PostgreSQL internals, indexing, query engine extensions, and storage-layer features to support large-scale document workloads on Azure. Profile distributed systems, tune performance, collaborate with open-source communities, conduct design/code reviews, and drive cross-team alignment for mission-critical database features.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Own Payabli’s AWS infrastructure, platform roadmap, CI/CD pipelines, infrastructure-as-code, developer environments, observability, and security posture. Design resilient cloud architecture, improve local development, enable secure AI-assisted workflows, and maintain PCI-DSS-aligned controls. Establish deployment standards, monitoring, documentation, and runbooks while partnering with engineering leadership to increase developer productivity and operational reliability.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Build and own backend-focused product features from planning through deployment. Responsibilities include updating data models, developing external API integrations, resolving production bugs, maintaining application security and performance, writing documentation, and collaborating with product, design, and engineering teams. The role primarily uses Python, Django, Celery, PostgreSQL, and Django ORM, with opportunities to work with TypeScript, JavaScript, AWS, Terraform, and Docker.