Senior Software Engineer II - Observability (Remote - Canada) at Confluent

Ontario, Canada

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data StreamingIndustries

Requirements

5+ years building distributed systems in Java, Golang or Python and running in k8s
2+ years on an SRE, DevOps, observability, or similar platform engineering team delivering capabilities to multiple product engineering teams
Deep experience in the use of Prometheus, AlertManager, and Grafana
Experience with operating in-house observability infrastructure and being on-call for it
BS, MS, or PhD in computer science or a related field, or equivalent work experience

Responsibilities

Architect, design, build and operate end-to-end solutions for collecting, shipping, storing and querying Open-Telemetry signals from infrastructure, application containers, and k8s clusters, with a heavy focus on self-service, multitenancy, reliability and velocity
Operate global and regional storage and query backends for metrics, traces, and logs
Define and implement the building blocks for querying, visualizing and acting on 300M+ active time series using Grafana, Prometheus, AlertManager, and PagerDuty
Evaluate and implement new capabilities for logging, trace analytics and application profiling
Work directly with product engineering teams, on calls, and incident commanders to evangelize and deliver enhancements to our observability platform

Skills

Key technologies and capabilities for this role

OpenTelemetryKubernetesGrafanaPrometheusAlertManagerPagerDutyObservabilityMetricsTracesLogsTime SeriesMultitenancy

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position available in Canada.

What programming languages are required?

The role requires 5+ years building distributed systems in Java, Golang or Python.

What observability tools experience is needed?

Deep experience with Prometheus, AlertManager, and Grafana is required, along with operating in-house observability infrastructure and being on-call.

What is the company culture like?

The culture values team players who ask hard questions, give honest feedback, show up for each other, with no egos or solo acts—just smart, curious humans pushing toward something bigger together.

What experience gives me an edge for this role?

Experience operating highly scalable observability backends like VictoriaMetrics or Mimir, federating observability backends across cloud regions, building and operating k8s clusters on AWS, GCP, and Azure, or taking a platform approach with OTel collector components.

Confluent

Data streaming solutions for real-time processing

About Confluent

Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.

Mountain View, CaliforniaHeadquarters

2014Year Founded

$443.5MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

1,001-5,000Employees

Benefits

Best Teammates on Planet Earth - Loving your job has a lot to do with the people around you. Luckily at Confluent, you will find some of the most genuine people who make you excited to come to work each day.

Adjustable Working Arrangements - While most of our employees work typical business hours, we encourage everyone to partner with their manager to make a schedule that works best for them and Confluent.

Robust Benefits - Health and wellness is important and Confluent is proud to offer a total benefits program that ranks in the top percentile of companies similar in size to our industry in our established geographies.

Rest and Recharge Days - Personal time off is great but it is even better when your whole team has the day. Each quarter, teams have three recharge days where the entire team logs off and refreshes before coming back to work.

Weekly Lunch Spend - At Confluent, we have a weekly lunch program called “No Pay Thursday.” On Thursdays, lunch is provided by Confluent at local restaurants and grocery stores, taxes may apply for some countries.

Flexible Paid Time Off (PTO) - Confluent employees work really hard to meet the needs of our growing and scaling business. To make sure that we don’t burn out, we encourage everyone to balance their PTO in an adequate way.

Risks

CTO Chad Verbowski's retirement may lead to a temporary leadership vacuum.

WarpStream acquisition may present integration challenges, disrupting operations.

Participation in MongoDB AI Program exposes Confluent to competitive pressures.

Differentiation

Confluent's platform is based on Apache Kafka, a leading open-source data streaming technology.

The company offers a subscription-based model, ensuring steady recurring revenue streams.

Confluent's solutions cater to diverse industries, enhancing real-time data processing capabilities.

Upsides

Increased adoption of Apache Flink complements Confluent's existing Apache Kafka-based solutions.

Integration with MongoDB's AI Applications Program enhances AI-driven data processing capabilities.

The OEM Program launch can drive new partnerships and expand market presence.

Land your dream remote job 3x faster with AI

Try Jobo Free