Principal Technical Consultant, App Dev

Responsibilities

Technical Expertise

Facilitate application and platform assessments, modernization strategy development, target architecture design, roadmap creation, and planning workshops .

Lead technical teams across the full application landscape (CI/CD, testing, data migrations, architecture, application code) and review and sign off on key deliverables including assessments, architecture blueprints, migration plans, and proof-of-concept outcomes .

Establish standards across security, DevSecOps , cloud architecture, observability, testing, and operational readiness .

Demonstrate effective personal use of AI-assisted software delivery tools and help others use them effectively by structuring context, setting expectations, validating outputs, and ensuring engineering quality .

Lead, mentor, and guide consultants and client team members through implementation challenges and modern engineering practices .

Contribute to practice development through reusable assets, accelerators, methodologies, and thought leadership .

Consulting & Client Leadership

Build and sustain trust-based relationships with client Directors, VPs, and C-level technology leaders, positioning yourself and AHEAD as the trusted advisor on modernization strategy and execution.

Tailor communication style and storyline to the audience — from engineers to C-level — and lead discovery sessions, workshops, executive readouts, and difficult conversations with confidence, empathy, and clarity. Navigate client organizational dynamics and manage expectations on outcomes, timelines, and delivery risks.

Apply structured, hypothesis-driven problem solving to ambiguous client situations: frame the core business issues, design the analyses needed to test them, and synthesize findings into a defensible point of view — even when information is incomplete or conflicting.

Develop modernization strategies that ladder up to clients' business and digital transformation objectives, accounting for organizational readiness, change management, and operating-model implications alongside the technical roadmap.

Build and defend the business case for modernization — quantifying TCO, ROI, and risk reduction — and use the client ’ s cost and value drivers to prioritize candidates, sequence the roadmap, and frame trade-offs.

Decompose enterprise modernization programs into pragmatic workstreams, sequencing decisions based on business value, risk, dependencies, and organizational readiness rather than purely technical considerations.

Continually identify new ways to serve the client, surfacing follow-on opportunities and expanding the footprint of the engagement based on observed business needs.

Lead pre-sales and pursuit efforts for modernization opportunities: shape the opportunity with the client, structure the solution, scope and estimate the work, lead proposal development and technical demonstrations, and own the technical credibility of the pursuit through close. Contribute to commercial structuring and pricing decisions.

Qualifiactions

Technical Expertise

Significant experience leading large-scale application transformation, custom development, or modernization engagements for enterprise clients .

Deep expertise in modernization strategies and patterns, including refactoring, rearchitecting, rebuilding, and related portfolio transformation approaches .

Expert-level understanding of cloud-native architecture (microservices, APIs, event-driven patterns, serverless, containers, orchestration) with in-depth proficiency on at least one major cloud platform (AWS, Azure, or GCP).

Deep proficiency in some common enterprise languages and frameworks, with the ability to read, write, debug, and review complex code (C#, Java, Python, TypeScript) .

Strong experience with DevOps and DevSecOps practices including CI/CD, infrastructure as code, automated testing, code security scanning, and observability .

Deep knowledge of data migration strategies and patterns .

Strong understanding of database modernization, schema evolution, and the migration of relational and non-relational data platforms .

Experience working with legacy or monolithic applications and understanding the challenges of older technology stacks .

Strong understanding of working with LLMs, including prompting, context management, context-window limitations, and clear output validation for AI-assisted delivery .

Strong knowledge of Agile methodologies and modern SDLC practices .

Proven ability to architect robust, scalable, and secure solutions that directly address business needs .

Consulting & Client Leadership

Executive presence and trusted-advisor track record with senior client stakeholders (Director through C-suite) — including delivering difficult messages, handling pushback , and resolving conflict constructively.

Communicates with clarity and influence across audiences: constructs compelling storylines, surfaces underlying stakeholder concerns, and aligns groups around a recommendation.

Demonstrated ability to build, defend, and present business cases (TCO, ROI, value realization) that connect modernization investments to measurable financial and operational outcomes .

Strong ability to assess technical debt, identify modernization candidates, determine business value, and estimate effort and risk .

Ability to help clients develop an informed point of view on where and how to responsibly adopt AI-assisted engineering in their own organizations — including the operating model, governance, quality controls, and talent implications — not just the tooling .

Experience in consulting or pre-sales roles, including technical solutioning, prototyping, requirements definition, and project scoping .

Strong leadership qualities with the ability to motivate teams and provide direct technical oversight and mentorship

Preferred

Working knowledge of the business models, value chains, and competitive dynamics of the industries AHEAD serves (e.g., financial services, healthcare, manufacturing, retail), with the ability to connect modernization decisions to industry-specific value drivers and regulatory constraints

Experience modernizing brownfield applications and legacy enterprise systems

Experience building proofs of concept, prototypes, or technical demonstrations in consulting sales cycles

Experience contributing reusable code libraries, accelerators, templates, or practice assets

Experience with automated software analysis tools (CAST , Matilda, Dyna trace, etc.)