[Remote] Senior Solutions Engineer - Sydney at Confluent

Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

8+ years of Sales/Pre-Sales/Solutions Engineering or similar customer facing experience in the software sales or implementation space
Experience with event-driven architecture, data integration & processing techniques, database & data warehouse technologies, or related fields
First-Hand exposure to cloud architecture, migrations, deployment & application development
Experience with DevOps/Automation, GitOps or Kubernetes
Ability to read & write Java, Python or SQL
Clear, consistent demonstration of self-starter behavior, a desire to learn new things and tackle hard technical problems
Exceptional presentation and communications capabilities. Confidence presenting to a highly skilled and experienced audience, ranging from developers to enterprise architects and up to C-level executives
Excellent skills in cross functional collaboration to work effectively and harmoniously with others to achieve common goals

Responsibilities

Help advance new & innovative data streaming use-cases from conception to go-live
Execute on and lead technical proof of concepts
Conduct discovery & whiteboard Sessions to develop new use-cases
Provide thought Leadership by delivering technical talks and workshops
Guide customers with hands-on help and best practice to drive operational maturity of their Confluent deployment
Analyze customer consumption trends and identify optimization opportunities
Work closely with product and engineering teams, and serve as a key product advocate across the customer, partner and Industry ecosystem
Forge strong relationships with key customer stakeholders and serve as a dependable partner for them

Skills

Key technologies and capabilities for this role

Data StreamingProof of ConceptsTechnical DesignWhiteboard SessionsWorkshopsKafkaCustomer SuccessSolution Architecture

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What experience level is required for this role?

The role requires 8+ years of Sales/Pre-Sales/Solutions Engineering or similar customer-facing experience in the software sales or implementation space.

What technical skills are needed for this position?

Required skills include experience with event-driven architecture, data integration & processing techniques, database & data warehouse technologies, cloud architecture, DevOps/Automation, GitOps or Kubernetes, and ability to read & write Java, Python or SQL.

What is the company culture like at Confluent?

The culture emphasizes teamwork with no egos or solo acts, featuring smart, curious individuals who ask hard questions, give honest feedback, and support each other while pushing toward bigger goals together.

What makes a strong candidate for this Solutions Engineer role?

Strong candidates demonstrate self-starter behavior, a desire to learn new things, tackle hard technical problems, and have exceptional presentation and communication skills.

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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