Senior Platform Engineer

Lob was founded in 2013 by technical co-founders with a vision to connect the world one mailbox at a time. Today, we're transforming the way businesses use direct mail and bringing the power of technology to a traditionally manual channel. 

Our modern logistics and fulfillment engine helps businesses to build and scale high-quality, personalized direct mail programs without the operational burden. As we grow to meet the evolving needs of our customers and expand our product offerings, we’re building a team to shape the future of direct mail.

About The Role

We are looking for a Senior Platform Engineer to help scale and improve the reliability, observability, performance, and cost efficiency of our platform infrastructure.

This role is focused on observability engineering and infrastructure optimization across AWS environments. The ideal candidate has deep hands-on experience with Datadog, OpenTelemetry, and HashiCorp Nomad, and understands how to build highly visible, scalable, and operationally efficient systems while actively reducing unnecessary infrastructure spend.

You will work closely with engineering teams to improve telemetry, monitoring, performance testing, platform reliability, and cloud infrastructure efficiency across a fast-moving distributed environment, including leveraging modern AI-driven tooling and operational workflows where appropriate.

What You’ll Work On

Building and improving observability across distributed systems and services

Designing dashboards, alerting, metrics, tracing, and telemetry pipelines

Improving operational visibility using Datadog, and OpenTelemetry

Helping evolve and mature the organization’s observability strategy and tooling 

Supporting and improving HashiCorp Nomad orchestration environments

Identifying and implementing AWS cost-saving opportunities across compute, storage, and platform infrastructure

Improving infrastructure utilization and operational efficiency across Nomad workloads 

Optimizing S3 storage utilization, lifecycle management, and storage costs

Designing and maintaining performance testing environments and tooling

Running load and performance tests to identify bottlenecks and scalability issues

Managing and tuning Elasticsearch/OpenSearch environments

Troubleshooting production performance issues across services, infrastructure, and databases

Partnering with engineering teams to improve platform reliability, scalability, and infrastructure efficiency

Responsibilities

Lead observability initiatives across infrastructure and applications

Design and maintain monitoring, telemetry, dashboards, tracing, and alerting systems

Build actionable visibility into platform health, reliability, and performance

Improve incident detection, troubleshooting, and operational response capabilities

Define observability standards and best practices across engineering teams

Drive infrastructure cost optimization initiatives across AWS services and platform environments

Analyze infrastructure utilization and recommend performance and cost efficiency improvements

Maintain and improve infrastructure-as-code standards and workflows 

Design, build, and maintain scalable performance testing environments and tooling

Execute and analyze load/performance testing initiatives

Support and improve Nomad-based orchestration environments

Troubleshoot complex production and infrastructure issues across distributed systems

Collaborate closely with engineering teams to improve scalability, reliability, operational visibility, and infrastructure efficiency

Create and maintain operational documentation and platform best practices

Qualifications

7+ years of experience in platform engineering, infrastructure engineering, or site reliability engineering

Strong hands-on experience with HashiCorp Nomad

Deep expertise with Datadog

Strong experience implementing and operating observability platforms using OpenTelemetry and modern monitoring tooling 

Experience with Grafana or similar visualization and observability platforms 

Strong understanding of distributed tracing, metrics, logging, and monitoring best practices

Experience building dashboards, alerts, telemetry pipelines, and operational visibility tooling

Strong experience identifying and implementing AWS cost optimization strategies in production environments

Strong knowledge of S3 optimization, lifecycle management, and storage cost reduction

Experience building and running performance/load testing environments

Strong troubleshooting and performance analysis skills across distributed systems

Strong experience operating infrastructure in AWS environments

Strong experience with Terraform and infrastructure-as-code practices 

Experience balancing platform reliability, observability, and infrastructure cost efficiency at scale

Experience working with distributed and event-driven architectures using technologies such as Redis, SQS, or Temporal 

Experience managing and tuning Elasticsearch or OpenSearch clusters

Experience working in fast-paced engineering environments

Strong communication and collaboration skills

Nice to Have

Exposure to PostgreSQL RDS to Aurora migrations

Experience with Kubernetes

Experience with CI/CD systems and deployment automation

Experience with Go, Python, or TypeScript

Since great engineers come from a variety of backgrounds, it doesn’t particularly matter if you have a specific degree—we want to hear about your contributions in a real-world setting.

Compensation information

The compensation for this role consists of a base salary + additional RSUs.

Annual Base Salary: $160,000 - $177,500