Top Tech Jobs & Startup Jobs in Boston, MA

Manage the company’s IT department and ensure reliable operation of networks, servers, systems, security, and end-user technology. Responsibilities include AWS and Oracle administration, Microsoft 365 access management, technical support, cybersecurity monitoring, compliance, vendor coordination, budgeting, and leading IT infrastructure projects. The role also supports Windows and Apple devices, manages IT tickets, and coordinates cross-functional technology initiatives.

Designs and manages training initiatives for behavioral health providers. Responsibilities include conducting needs analyses, applying instructional design models, translating clinical protocols into scenario-based learning, developing Articulate 360 courses and multimedia, using generative AI responsibly, creating assessments, performing quality assurance, analyzing feedback, and managing project timelines.

Build and maintain Python backend services and AI-assisted applications for threat investigations. Partner with investigators, integrate APIs and AI capabilities, troubleshoot production issues, improve reliability and observability, and participate in rotating on-call coverage. Own engineering solutions from requirements through deployment and ongoing support, including work across backend services, data pipelines, asynchronous workflows, and platform operations.

Lead the technical vision and development of Placer.ai’s AI-powered location intelligence platform. Build full-stack conversational AI features, including LLM integrations, retrieval, agents, tool-calling, streaming interfaces, evaluations, monitoring, and security controls. Translate ambiguous requirements into scalable production systems, make architecture decisions, collaborate with product, design, and customers, and improve engineering practices through code reviews, testing, and AI-assisted development.

Designs and delivers production-grade enterprise AI solutions using LLMs, RAG, agentic AI, MCP, and Azure. Translates business needs into secure, scalable architectures; establishes AI engineering standards, evaluation, observability, and guardrails; leads architecture and code reviews; mentors AI, software, and data engineers; evaluates emerging technologies; and supports client workshops, demonstrations, solutioning, and presales.

Build and deploy production-grade generative and agentic AI applications using Python or JavaScript/TypeScript, LangChain, LangGraph, RAG, vector databases, Docker, Kubernetes, and cloud platforms. Develop workflows, integrations, evaluation pipelines, observability, security controls, and CI/CD processes. Optimize quality, performance, reliability, and cost while supporting production operations. Collaborate with architects, engineers, security teams, customers, and stakeholders; create documentation, participate in reviews, mentor engineers, and communicate technical tradeoffs.

Implement and operate multi-region AWS database infrastructure for a Tier-1 payments platform. Responsibilities include DynamoDB Global Tables replication, failover and failback automation, Terraform or CDK infrastructure, observability, disaster recovery testing, KMS and IAM configuration, CDC pipelines, data migration cutovers, and application resilience patterns. The role also requires runbook and design documentation, collaboration with data, SRE, and application teams, and support for regulated financial-services workloads.

Build and maintain C#/.NET backend services, APIs, web applications, ERP and billing features, and financial integrations. Modernize legacy .NET Framework applications onto Azure, optimize SQL Server and Azure SQL data access, create automated tests, support CI/CD, instrument production systems, and implement secure authentication and configuration. Troubleshoot application, database, and hosting issues while collaborating with DevOps, architects, product leaders, and stakeholders.

Leads complex security investigations from detection through resolution, including threat analysis, containment, eradication, recovery, root cause analysis, threat hunting, vulnerability management, and attack-chain reconstruction. Develops incident response playbooks and SOPs, writes executive reports, mentors Tier I analysts, and participates in on-call coverage. Requires advanced Windows, networking, scripting, malware analysis, SIEM, digital forensics, and incident response capabilities.

Performs cloud security engineering across AWS and GCP, including system hardening, patching, vulnerability remediation, compliance scanning, security tool management, incident response, and cloud operations. Troubleshoots Linux, Windows, network, application, and identity issues; supports FedRAMP, FISMA, and NIST 800-53 requirements; documents procedures and incidents; contributes to automation; mentors junior engineers; and participates in a 24×7 on-call rotation.