Top Engineering Jobs in Boston, MA

Leads reliability standards across Infrastructure Engineering by developing Service Level Objectives, Service Level Indicators, error budgets, observability reporting, and reliability measurement practices. Partners with engineering teams to connect infrastructure performance to application and customer experiences, analyzes distributed-system failure modes, and influences teams through technical guidance, mentoring, and communication with senior leadership.

Design, automate, and operate resilient, self-healing database platforms across cloud and on-prem environments. Build Kubernetes operators and IaC (Terraform/Pulumi), use Go or Python for automation, optimize performance/cost, partner with app teams on schema/migrations, and leverage AI for observability and operational efficiency.

Design and scale resilient, high-performance distributed systems and frameworks. Define architectural solutions, lead design reviews, build prototypes and production systems, embed reliability and observability, and partner with Product, Infrastructure, and Platform teams while mentoring engineers.

Lead architecture, development, and operation of scalable, secure backend systems and APIs for real-time, high-traffic applications. Own full lifecycle from design through production, enforce engineering best practices, mentor engineers, and drive reliability, performance, and cross-functional alignment.

Build and maintain high-performance backend services in Go for a low-latency, high-throughput trading exchange. Design distributed systems, optimize performance, improve observability, and collaborate across Product, Data, and Ops to ensure resiliency and scalability.

Leads a backend platform engineering team, overseeing hiring, coaching, delivery, roadmap planning, architecture, and cross-functional collaboration. Builds reusable services, APIs, tools, and self-service capabilities supporting multiple products. Drives scalability, reliability, developer experience, observability, security, automation, incident response, capacity planning, and operational excellence while contributing to technical decisions and troubleshooting.

Design and scale distributed, high-availability systems and platform architectures. Define frameworks, tooling, and standards, contribute hands-on to prototypes and production, guide teams on reliability, observability, and operational excellence, and align technical decisions with product and business priorities.

Support and improve reliability, scalability, and performance of large-scale databases across cloud and on-prem. Build automation, Kubernetes operators, GitOps workflows, and tooling in Go or Python; implement observability, capacity planning, failover, backups, schema migrations, and self-healing systems; partner with application teams and leverage AI to improve operations and engineering productivity.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.