Top Engineering Jobs in Atlanta, GA

Designs and maintains automated and manual testing strategies, test suites, and test plans. Identifies and tracks defects, performs API, load, and performance testing, and contributes to feature development and bug fixes. Provides testing guidance, participates in code reviews and planning, supports release quality decisions, and promotes software quality across cross-functional teams.

Leads Sikich’s on-premises and hybrid infrastructure team across US and offshore offices. Oversees network stability, infrastructure projects, ticket escalation, technical reviews, hybrid connectivity, vendor management, monitoring, and security initiatives. Manages and develops a distributed team while serving as a hands-on technical escalation point. Responsibilities also include physical infrastructure work such as equipment installation, rack and cabling tasks, switch deployment, acquisition integrations, and infrastructure documentation.

Design, build, and own production-grade platform subsystems for Stacklok Enterprise, writing Go software that runs on customer Kubernetes environments. Collaborate with leadership, mentor engineers, support customer onboarding and troubleshooting, contribute to the open-source ToolHive project, and translate customer feedback into product improvements. The role also involves improving engineering workflows through AI-assisted development and owning platform areas from design through ongoing production operations.

Provides cloud architecture and systems administration support for NOAA OCIO. Responsibilities include managing Azure and Entra services, Windows Servers, Active Directory forests and domains, DNS, Group Policy, Kerberos, certificate authorities, endpoint deployments, patching, configuration management, security practices, and PowerShell automation. The role also provides information-security guidance, advanced troubleshooting, documentation, and escalation support.

Build custom n8n flows, API integrations, webhooks, and middleware to implement complex, code-level onboarding and orchestration for enterprise SaaS clients. Scope projects with sales, own end-to-end technical onboarding, QA, monitoring, and feed recurring needs back to Product. Act as a client-facing technical consultant, including onsite visits, and create reusable integration patterns.

Design and own backend infrastructure for a privacy-first AI memory platform. Responsibilities include multi-tier memory storage, secure multi-tenant isolation, real-time APIs, caching, LLM integrations, retrieval systems, synchronization, monitoring, deployment pipelines, and production reliability. The role requires close collaboration with ML engineering and product teams while owning architecture, infrastructure, testing, security, and operational troubleshooting.

Owns ServiceNow Automated Test Framework coverage for releases, upgrades, features, and configuration changes. Designs, maintains, and executes automated regression suites; integrates testing with CI/CD and DevOps workflows; troubleshoots failures; manages test data and environments; translates requirements into test scenarios; reports coverage and release-readiness metrics; and performs manual testing when automation is unsuitable. Collaborates with developers, business analysts, and release managers in Agile environments.

Leads architecture, development, and operation of Python-based AWS backend and IoT services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, databases, device communication, and infrastructure as code. Provides hands-on technical leadership through coding, design and code reviews, mentoring, cross-functional planning, security practices, testing, CI/CD, monitoring, incident response, and roadmap development.

Build and architect AI-powered software features that analyze contracts and fund documents, extract structured data, and automate legal workflows. Set technical direction, drive ambiguous initiatives from conception through production, improve engineering quality and tooling, and collaborate with product and design. Evaluate LLM systems, assess failure modes, and make strategic decisions about AI applications while mentoring and elevating other engineers.

Develop and optimize Amazon Connect contact center solutions integrated with AWS and Salesforce. Responsibilities include architecting serverless infrastructure, creating Contact Flows, developing automation with CloudFormation or CDK, and implementing conversational AI using Lex, Bedrock, Nova 2 Sonic, Contact Lens, and Agentic CX Designer. The role also involves Salesforce customization, Apex and Lightning Web Component development, CI/CD, cross-functional collaboration, and occasional client-site travel.