Top Tech Jobs & Startup Jobs in Boston, MA

Own and operate large-scale Kafka/Confluent platforms across cloud and on‑prem: architect clusters, security, HA/DR, observability, CI/CD, and developer enablement. Build and run Connect pipelines, Schema Registry, Streams/ksqlDB, and automation via IaC. Lead incident response, mentor engineers, document runbooks and designs, and evaluate emerging streaming technologies to improve reliability, performance, and cost-efficiency.

Design, execute, and operationalize fine-tuning workflows for LLMs (supervised, DPO, RLHF). Lead dataset construction, build scalable distributed training pipelines, tune hyperparameters, implement parameter-efficient methods (LoRA/QLoRA), design rigorous evaluation and safety tests, operate GPU clusters, manage model artifacts, and mentor engineers to translate research into production-ready solutions.

Design, build, and operate petabyte-scale data pipelines and storage for AI training and evaluation. Implement ingestion, cleaning, deduplication, versioning, lineage, high-throughput loading, labeling workflows, privacy controls, and observability. Collaborate with ML researchers to optimize data systems for model quality and training efficiency, and document operational procedures.

Lead design and strategy for an enterprise data platform across ingestion, storage, processing, governance, and consumption. Define architecture standards, lakehouse/warehouse/streaming patterns, security, governance, cost optimization, DR/high-availability, and mentor teams while partnering with ML, BI, and product stakeholders.

Design, build, and maintain production-grade Terraform infrastructure and reusable modules across multi-account, multi-region, and multi-cloud environments. Implement CI/CD pipelines, policy-as-code, state management, testing, and automation; collaborate with security and platform teams; migrate legacy environments into Terraform, enforce best practices, and provide documentation and mentorship.

Design, implement, and optimize high-performance CUDA kernels and libraries for AI and HPC workloads. Profile and tune multi-GPU and multi-node training, integrate custom operators into ML frameworks, develop benchmarks and regression tests, and document performance and tuning strategies while collaborating with cross-functional teams.

Hands-on Salesforce Developer responsible for designing and delivering Apex, LWC, Flow, and integration solutions. Build automation, data models, security/sharing, CI/CD pipelines, and troubleshoot production issues while collaborating with admins, architects, and product owners.

Design, implement, and optimize low-latency trading, pricing, and risk systems for fintech. Translate quantitative models into production code, build market-data ingestion, pricing libraries, risk engines, backtesting, and observability. Collaborate with quants and traders, lead incident response, ensure regulatory/auditable outputs, and mentor junior engineers.

Design, build, and operate large-scale AI training and inference infrastructure (GPU/accelerator clusters, scheduling, storage, networking). Integrate ML frameworks, ensure reliability, observability, fault tolerance, cost optimization, security, automation, and developer tooling while partnering with research teams.

Design, build, and operate high-performance model-serving platforms for LLMs, vision, and recommendation models. Optimize inference (batching, caching, multiplexing), tune GPU utilization, implement autoscaling, routing, and QoS, integrate observability and security controls, run deployment workflows and incident response, and collaborate with ML and product teams to support reliable, cost-efficient production AI services.