[Remote] Senior Software Engineer at Confluent

Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data StreamingIndustries

Requirements

BS, MS, or PhD in computer science or a related field, or equivalent work experience
2-5 years of relevant cloud infrastructure and/or SaaS/PaaS services
Strong fundamentals in distributed systems design and development
Experience building and operating large-scale systems in the Cloud
Solid understanding of basic systems operations (disk, network, operating systems, etc.)
A self starter with the ability to work effectively in teams
Proficiency in Java, Scala, C/C++, Go or other statically typed languages

Responsibilities

Work on building highly available, reliable, secure, scalable, and multi-tenant Kora's orchestration layer
Drive technical solutions end-to-end
Work closely with the team and key stakeholders to design, architect, and develop top-notch solutions
Deliver complex projects in production with a focus on quality
Make customers more successful by taking on their most challenging problems
Make decisions which benefit the team and company
Identify root causes, and get beyond treating symptoms - dig deep and solve hard problems

Skills

Key technologies and capabilities for this role

Apache KafkaDistributed SystemsCloud-NativeEvent StreamingMulti-TenancyScalabilityOrchestrationHigh AvailabilityPerformance OptimizationRebalance Protocol

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary range for this Senior Software Engineer role?

This information is not specified in the job description.

What skills and experience are required for this role?

Requirements include a BS, MS, or PhD in computer science or equivalent, 2-5 years of relevant cloud infrastructure and/or SaaS/PaaS services experience, strong fundamentals in distributed systems design and development, experience building and operating large-scale systems in the Cloud, solid understanding of basic systems operations, ability to work effectively in teams, and proficiency in Java, Scala, C/C++, Go or other statically typed languages.

What is the company culture like at Confluent?

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. It's a team of passionate engineers solving complex distributed systems problems.

What makes a strong candidate for this Senior Software Engineer position?

Strong candidates are driven by complex production challenges with a focus on quality, customer-focused, have strong teamwork, identify root causes to solve hard problems, plus edge skills like in-depth JVM familiarity, distributed storage/databases experience, public clouds, Kubernetes, microservices, or Kafka evangelism.

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.

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