Top Tech Jobs & Startup Jobs in Boston, MA

Leads full-stack engineering projects and developer teams building cloud-based, distributed microservices and financial technology solutions. Responsibilities include software architecture, technical leadership, mentoring, API and database development, cloud infrastructure, refactoring, performance optimization, Agile delivery, and establishing engineering standards. The role uses modern programming languages, AWS and other cloud platforms, container orchestration, open-source technologies, CI/CD, automated testing, and observability.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agents, vector search, guardrails, evaluation, governance, and observability. Optimize models and infrastructure for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI cost-performance governance, lead technical design reviews, shape foundational AI roadmaps, and mentor senior AI engineering leaders.

Build and deploy scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model training and inference for cost, latency, throughput, and hardware utilization. Own complex AI architecture, reliability SLOs, and technical roadmaps while collaborating across engineering, research, infrastructure, and product teams. Lead deployment reviews for security and compliance and mentor senior technical staff.

Build, deploy, scale, and maintain production machine learning models and infrastructure. Responsibilities include model development, feature selection, tuning, validation, data pipeline construction, cloud deployment, Kubernetes operations, CI/CD, monitoring, responsible AI, and production troubleshooting. The role collaborates with Product, Data Science, and Agile engineering teams to deliver resilient large-scale AI solutions.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Design service boundaries, APIs, reusable frameworks, and scalable systems using AWS and modern programming languages. Establish engineering standards, improve performance, reduce technical debt, and support operational excellence across Agile teams. Mentor engineers, evaluate emerging technologies, contribute to long-term technology strategy, and deliver financial technology solutions supporting regulatory and enterprise needs.

Designs, develops, and supports complex Workday HCM integrations across HR modules including HCM, Recruiting, Compensation, Payroll, and Benefits. Uses SOAP, REST, WSDL, XML, XSLT, Workday Studio, and automation workflows to deliver resilient solutions. Responsibilities include troubleshooting, security, data analysis, process improvement, testing, code reviews, stakeholder collaboration, vendor coordination, and leading integrators and configurators through Agile delivery.

Lead and mentor engineering teams building cloud-based, full-stack solutions with distributed microservices. Design service boundaries, APIs, reusable frameworks, and robust systems using modern programming languages, databases, containers, and cloud platforms. Establish engineering standards, improve system performance, reduce technical debt, support Agile delivery, troubleshoot cloud environments, and influence long-term technology strategy.

Leads an AI engineering team building scalable, responsible generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and governance. Establishes technical strategy, optimizes production AI systems for cost and performance, manages cloud deployments, translates enterprise goals into roadmaps, and develops engineering talent.

Leads technology projects and developers building full-stack, distributed microservice systems for financial technology. Designs cloud-based solutions, partners with architects on service boundaries and integration patterns, establishes engineering standards, reduces technical debt, and improves system performance. Provides technical leadership across Agile teams, mentors engineers, evaluates emerging technologies, and delivers solutions using modern programming languages, databases, containers, and cloud services.

Design, build, test, and support scalable cloud data solutions and pipelines. Develop data platforms using Python, Spark, SQL, Databricks, Snowflake, relational and NoSQL databases, and cloud technologies. Establish reusable data engineering patterns, security controls, and operational standards. Collaborate with product managers, engineers, analysts, and data scientists; communicate technical outcomes; mentor data professionals; and deliver resilient, high-performance financial data products.