Top Tech Jobs & Startup Jobs in Atlanta, GA

Participates in AHEAD’s associate development program, beginning with three months of network training before supporting client projects. Collaborates across teams, analyzes technical issues, recommends solutions, manages competing priorities, and delivers projects on schedule. Requires infrastructure experience, technical education or equivalent training, data center knowledge, U.S. work authorization, and willingness to travel more than 50%. Preferred certifications include CCENT, CCNA, Network+, Server+, Security+, VCTA, and CCA-V.

Provides office support through reception, high-volume call handling, guest assistance, mail distribution, invoice reconciliation, accounts payable entry in Oracle, and general operational assistance for the Office Manager and staff.

Design, build, and maintain scalable batch and streaming data pipelines. Write clean code (Python, SQL, Spark), ensure data quality and reliability, monitor and troubleshoot pipelines, document sources and transformations, and collaborate with analysts, data scientists, and product teams to deliver data products and support analytics and ML use cases.

Build and deploy production-ready backend software using Ruby or Python. Design APIs, model data, optimize performance, apply security best practices, and contribute to reliable product experiences. Collaborate cross-functionally while supporting front-end development, infrastructure tasks, security fixes, and CI/CD optimization as needed.

Plan and release order waves to optimize shipping capacity and facility throughput. Monitor WMS and related systems, level workloads across functions, coordinate with operations and customer service to resolve order exceptions, and adjust waves to meet daily distribution targets in an automated environment.

Lead capital projects from planning through closeout, managing scope, schedules, budgets, quality, contracts, subcontractors, project controls, and documentation. Serve as the primary client contact, coordinate multidisciplinary teams, resolve challenges, facilitate meetings, and maintain stakeholder alignment. The role also supports proposals, client relationship growth, project accounting, safety requirements, and delivery strategies across multiple projects.

Build and evaluate AI prototypes such as assistants, document extraction tools, retrieval experiences, and workflow applications. Develop lightweight interfaces and services, integrate APIs and approved data sources, design prompts, implement access controls, and create repeatable evaluations. Maintain version-controlled code, document prototypes, investigate technical issues, and refine solutions based on user feedback. Collaborate with technical and nontechnical stakeholders to determine whether prototypes are reliable enough for production pilots.

Provides technology strategy consulting to commercial and nonprofit clients. Responsibilities include assessing IT environments, developing technology and cloud roadmaps, shaping application portfolio strategies, building business cases and financial models, supporting proposals, communicating recommendations to executives, and coaching team members. The role requires strategic advisory experience, strong communication, technology assessment expertise, and up to 40% travel with hybrid in-person attendance at least three days weekly.

Leads the North American After Sales business for the Filtration Technology Unit, overseeing strategy, revenue and margin growth, customer satisfaction, manufacturing operations, budgets, pricing, KPIs, and continuous improvement. Manages customer escalations, service negotiations, staffing plans, safety, compliance, and cross-functional collaboration. Coaches and develops employees while traveling domestically and internationally up to 50% of the time.

Early-career Data Engineering Analyst responsible for building and operationalizing cloud-native big data solutions, advanced analytics products, and generative AI models. The role involves collaborating with stakeholders, architects, engineers, analytics, application development, and data science teams to deliver scalable, sustainable data solutions. Candidates will use cloud and big data technologies, develop well-documented code, apply software development best practices, and support AI-powered business decision-making.