Top Engineering Jobs in Boston, MA

The End-to-End Systems Lead oversees the full technical lifecycle of systems, ensuring user requirements are met through quality system delivery and integration across multiple teams.

Lead cloud security strategy and delivery across multi-cloud environments (IaaS/PaaS/SaaS). Design secure architectures, governance, IAM/zero trust, IaC standards, CSPM/CNAPP programs, data protection, resilience, and AI/ML security. Advise executives, drive business development, build teams, and create firm accelerators and vendor alliances.

Lead AI-enabled cybersecurity strategy, transformation, and engineering engagements. Design and architect generative/agentic AI solutions, build AI-powered threat models and governance, manage teams and client relationships, and implement enterprise cyber risk controls to scale security capabilities.

Lead AI-native solution architecture and end-to-end technology delivery for client engagements. Set strategy, build product roadmaps, guide engineering teams on LLM/RAG implementations, mentor leaders, drive market opportunities, and ensure quality, integration, and compliance with firm standards.

Lead delivery of OT/ICS cybersecurity engagements: design and implement industrial security solutions, manage client accounts and teams, mentor staff, assess risks and compliance, and drive continuous improvement in critical infrastructure security.

Design, develop, test, and deliver enterprise software solutions for Tax clients. Collaborate with teams and clients to gather requirements, implement APIs and integrations, apply CI/CD, perform code reviews, troubleshoot and optimize applications, and support quality assurance practices.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Develop, test, and validate Generative AI agents and data pipelines with automated testing and governance controls. Analyze complex problems, produce actionable insights, mentor junior associates, and collaborate with multidisciplinary teams to deliver AI-enabled client solutions while upholding professional standards and documentation.

Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.

Lead design and implementation of cloud, container, and application security across CSPs (IaaS/PaaS/SaaS). Manage client relationships and teams, apply DevSecOps practices, perform risk assessments and vulnerability testing, configure policy frameworks (CNAPP), and provide secure coding/cloud security training and mentorship to drive secure delivery and continuous improvement.

Lead and manage teams to design, build, test, and deploy enterprise software solutions. Drive CI/CD, API-driven integrations, code quality, client engagement, and process improvements while coaching high-performing teams.

Lead and coach teams to design, code, test, and deliver software solutions driving digital transformation for tax clients. Translate requirements into technical specs, perform code reviews, troubleshoot complex issues, maintain client relationships, and promote innovation and systems thinking to validate outcomes and improve products.

Lead and manage forward-deployed software engineering teams in PwC's Tax practice. Own project planning, budgeting, execution, and delivery of API-driven, microservices-based applications. Mentor staff, implement CI/CD, ensure enterprise application integration, optimize system interactions, and collaborate with clients and support teams to resolve software issues and drive digital transformation.

Lead development and deployment of data-driven software solutions within the Tax practice. Manage client relationships, guide teams in design/coding/testing, enforce coding standards, implement CI/CD, integrate enterprise applications, conduct code reviews, mentor staff, and ensure projects are planned, budgeted, executed, and completed to meet client expectations.

Develop, design, code, test, and maintain scalable applications using Java, Python, and JavaScript. Implement API integrations, microservices, and CI/CD practices. Perform code reviews, translate business requirements into software designs, collaborate with cross-functional teams, troubleshoot issues, and mentor junior engineers while building client relationships and delivering business-focused solutions.

Lead delivery of innovative software solutions within Tax practice: set strategy, oversee design/coding/testing, manage client engagements, drive business development, mentor teams, and promote API management, CI/CD and modern application development practices to produce high-impact solutions.

Design, code, test, and deploy software solutions within the Tax practice, focusing on Python-based application and API development, CI/CD, OOD, QA, and enterprise integration. Collaborate with clients and teams to translate business requirements into technical specifications, debug and optimize systems, perform code reviews, and mentor junior staff while maintaining professional and technical standards.

Design, code, test, and deploy software solutions for Tax clients. Collaborate with teams to gather requirements, implement APIs and integrations, apply CI/CD and OOD principles, perform code reviews, debug and QA, and support project delivery while building client relationships and technical skills.

Lead design and implementation of cloud security strategies across IaaS, PaaS, and SaaS. Conduct risk assessments, implement IaC and automated enforcement, integrate security scanning into CI/CD, mentor junior staff, build client relationships, and deliver practical solutions to complex cloud security problems while maintaining professional standards.

Lead design, build, and operation of scalable, secure AI-enabled platforms; mentor engineers; ensure reliability, security, and delivery of conversational AI and cloud-native solutions; collaborate cross-functionally to translate use cases into platform capabilities.

Lead pricing strategy for large IT/Scaled Engineering Services deals, owning the full pricing lifecycle. Design rate cards and complex pricing structures, provide commercial leadership in pursuits, influence senior decisions, mentor junior staff, and drive continuous improvement in pricing processes and contractual commercial terms.

Lead and manage end-to-end software engineering programs, coaching teams and coordinating cross-functional stakeholders. Oversee planning, budgeting, execution, and delivery of enterprise applications (including low-code platforms). Drive quality through ATDD, CI/CD, code review and architecture best practices (microservices/API management). Mentor staff, resolve technical and stakeholder conflicts, apply emerging AI technologies, and improve processes to meet engagement objectives and client expectations.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.

Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.