Consultant - Software Engineering at MAU Workforce Solutions Atlanta, GA

Consultant - Software Engineering job at MAU Workforce Solutions Atlanta, GA, US - chavaholt.nl

Consultant - Software Engineering Job at MAU Workforce Solutions, Atlanta, GA

3Ci, an MAU company, is an IT professional services and technology consulting firm specializing in full-stack software development, data engineering, process intelligence, and digital transformation. We partner with leading enterprises to accelerate transformation and deliver measurable business outcomes.

3Ci's Software Engineering practice is the firm's highest-volume technical capability — delivering custom applications, cloud-native platforms, legacy modernization, and AI-integrated software solutions that power clients' most important business processes. As AI-augmented development becomes the industry standard, 3Ci's Software Engineering practice leads with AI-native engineering as a core delivery expectation at every level.

The Consultant – Software Engineering independently owns feature workstreams and development delivery tracks within client applications and platform builds, operating with moderate supervision. This role bridges foundational development contribution and senior technical leadership — combining strong engineering execution with growing system design capability, client relationship skills, and an emerging ability to guide junior developers.

Consultants are expected to deliver production-quality code independently, participate meaningfully in technical design decisions, and begin advising working-level client stakeholders on technical trade-offs. AI-augmented development is a core expectation at this level — Consultants use AI coding tools as a standard productivity multiplier and begin introducing AI-assisted engineering workflows to clients and teammates.

Independently design, implement, test, and ship features and modules within established application architecture

Own assigned vertical slices: front-end, back-end, API layer, and database schema changes end-to-end

Estimate story points and sprint commitments accurately; flag scope or complexity risks early

Conduct thorough code reviews for peers: providing specific, constructive, and actionable feedback

Debug and resolve production issues on owned modules; document root causes and preventive measures

Technical Design & Architecture Contribution

Contribute meaningfully to technical design discussions: propose patterns, evaluate trade-offs, and raise maintainability concerns

Design well-structured REST APIs, event-driven microservices, and database schemas appropriate to the use case

Apply SOLID principles, design patterns, and clean architecture practices in all delivered code

Contribute to Architecture Decision Records (ADRs) and technical documentation on managed workstreams

Identify and raise technical debt, security vulnerabilities, and performance bottlenecks to Senior Consultant

Build and maintain automated test suites: unit, integration, and contract tests on owned modules

Contribute to CI/CD pipeline configuration and maintenance: GitHub Actions, Azure DevOps, or equivalent

Apply SAST, DAST, and dependency scanning tools as part of the development workflow

Monitor application performance and error rates on owned components using observability tools

Serve as day-to-day technical contact for client engineers and working-level product managers

Participate in sprint demos, technical walkthroughs, and architecture review sessions

Coach and guide Junior Consultants on coding standards, testing discipline, and professional practices

Support pursuit activities under senior direction: technical scoping, effort estimation, and proposal content

Apply AI coding assistants as a standard development accelerator across all feature and module work

Use AI for complex refactoring, test suite generation, API design scaffolding, code documentation, and debugging acceleration

Introduce and onboard client engineering teams on AI-assisted development workflows on applicable engagements

Develop and contribute documented AI engineering use cases to 3Ci's Software Engineering AI Playbook

Apply prompt engineering to produce accurate, production-ready AI-assisted code with robust testing

Bachelor's degree in Computer Science, Software Engineering, or related field

2–5 years of professional software development experience

Demonstrated ownership of features or modules in production applications

Proficiency in at least one modern language (Python, TypeScript/JavaScript, Java, C#, or Go) and associated frameworks

Working knowledge of REST API design, relational and/or NoSQL databases, and cloud deployment

Hands-on experience with CI/CD pipelines, automated testing, and version control workflows

Professional AI coding tool usage in a development workflow with demonstrated code review discipline

AWS Certified Developer Associate or Azure Developer Associate (AZ-204)

GitHub Copilot certification or equivalent AI engineering credential

Certified Kubernetes Application Developer (CKAD) or equivalent container/cloud-native credential

HashiCorp Terraform Associate or equivalent IaC certification

PCEP / PCAP (Python) or equivalent language certification

CSM or PSM I (for agile delivery on consulting engagements)

At 3Ci, Consultants own real workstreams — not support tasks. You'll build production features, make meaningful technical decisions, and grow your engineering capability on some of the most interesting application development challenges in the Atlanta market. We support your path to Senior Consultant with certification investment, structured mentorship, and a culture that takes engineering craft seriously.

3Ci is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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