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Staff Software Engineer - Analytics (f/m/d) - job 2 of 2

Company Description

Jobs for Humanity is collaborating with Contentful to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.

Company Name: Contentful

Job Description

About the Opportunity

Are you ready to lead the next stage of an evolving Analytics product at Contentful? We’re looking for a technical leader with an entrepreneurial spirit and a pioneering mindset to chart new paths, tackle complex challenges, and guide our engineering team toward product-market fit. You’ll draw on your technical leadership, architectural insights, and interest in analytics to refine system architectures and ensure our platform scales to meet enterprise demands. As a hands-on leader, you’ll work closely with our CTO, EVP, and other senior engineers, engaging directly with customers, collaborating with cross-functional teams, and mentoring those around you—all while maintaining a clear vision for the product’s future. If you’re driven by building products that truly resonate with users and setting the pace for innovation, this role offers you the chance to make a lasting impact.

What to expect? 

1. Technical Leadership & Architecture

  • Define and drive the end-to-end architecture of our analytics platform, from ensuring seamless integration through our SDKs, over event ingestion APIs to data pipelines and processing down to the query layer.

  • Establish strategies for scalability, resilience, and performance optimization to reliably handle billions of events every day.

  • Provide hands-on guidance in clearing bottlenecks and resolving challenging technical issues within data pipelines, APIs, and backend systems.

  • Mentor and guide engineers to see how their work fits into the bigger picture, fostering a collaborative environment that encourages diverse perspectives and supports informed technical decision-making.

2. Product & Vision Alignment

  • Partner with senior leadership and product leaders to shape the product roadmap, ensuring technical feasibility aligns with strategic business goals.

  • Stay attuned to customer needs, participating in discussions and calls to understand requirements and shape the platform’s technical direction.

  • Offer architectural insight that transcends individual components, keeping the bigger picture in focus.

3. Hands-On Engineering & Implementation

  • Collaborate closely with the engineering team to contribute code and architectural artifacts, setting a high quality bar through shared best practices.

  • Together with your colleagues, design and optimize data pipelines using modern tools and frameworks (e.g., GCP BigQuery, PubSub, Dataflow, Dataform).

  • Work as a team to architect and implement APIs and protocols for high-traffic, customer-facing data products using TypeScript, leveraging modern cloud-native and serverless architectures.

  • Collaboratively deploy and operate statistical and machine learning models in production, ensuring reliability, scalability, and long-term maintainability.

What you need to be successful

1. Technical Expertise

  • Extensive experience building and scaling data-intensive products, ensuring system scalability and performance under high-volume workloads, ideally handling billions of events daily.

  • Demonstrated ability to craft end-to-end system architectures and oversee their implementation.

  • Strong coding skills and commercial experience with server-side TypeScript.

  • Proven track record in designing APIs and protocols for high-traffic, enterprise-grade applications.

  • Cloud-native experience is a big plus - our data stack is built on GCP and the Cloudflare Workers Platform.

  • Familiarity with modern data engineering practices and frameworks.

2. Soft Skills & Leadership

  • Entrepreneurial mindset with the ability to work autonomously and propose innovative solutions.

  • Strong collaboration skills, with the capacity to build consensus and alignment across different product lines and teams.

  • Customer-centric approach, comfortable engaging with clients to understand their challenges and incorporate their feedback.

  • Excellent English communication skills (verbal and written), capable of conveying complex technical concepts to both technical and non-technical audiences.

3. Domain Experience

  • Ideally, you have several years of experience working with high-throughput, customer-facing analytics or data platforms. This may include leading analytics providers, large-scale consumer or streaming platforms, AdTech or observability vendors, or high-volume eCommerce environments. Any setting where you’ve managed massive streams of event data and delivered timely insights will help you excel in this role.

  • Proven success in B2B enterprise product environments, delivering scalable and secure solutions to demanding customers.

What's in it for You?
  • Join an ambitious tech company reshaping the way people build digital experiences
  • Full-time employees receive Stock Options for the opportunity to share in the success of our company
  • Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents.
  • Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
  • We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss, education days, and volunteer days
  • Company paid parental leave to care for and focus on your growing family
  • Use your personal annual education budget to improve your skills and grow in your career
  • Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
  • An annual wellbeing stipend to care for your physical, financial, or emotional health
  • A monthly communication stipend and phone hardware upgrade reimbursement.
  • New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

#LI-SB1 #LI-Hybrid 

Who are we?

Contentful is the intelligent composable content platform that unlocks all of an organization’s digital content to deliver impactful customer experiences, making content a strategic business asset. The Contentful Platform, Contentful Studio, and the Contentful Ecosystem combine the flexibility of composable content with the intelligence of AI, empowering digital teams to drive business momentum through collaboration, speed, and scale. Contentful powers innovative content experiences across brands, regions, and channels for organizations around the world, including nearly 30% of the Fortune 500. Nearly 800 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver and distributed around the world.

Everyone is welcome here!

“Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us!

If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.

Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information such as bank account numbers, identification numbers, etc through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reaching out to us at [email protected] with any information you may have.

By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice”, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

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Average salary estimate

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What You Should Know About Staff Software Engineer - Analytics (f/m/d), Jobs for Humanity

Are you looking to take your career to the next level? Join Contentful as a Staff Software Engineer - Analytics in London! In this pivotal role, you'll be at the forefront of developing our cutting-edge analytics product. Imagine working closely with our CTO and other top-tier engineers while contributing your expertise to create scalable systems that handle billions of events daily. This is an opportunity where your technical leadership will shine as you define and drive the architecture of our analytics platform. Engaging directly with our clients, you'll gain insights that will shape the product's future and ensure customer satisfaction. Besides guiding the engineering team and mentoring your peers, you'll also collaborate with a diverse group of professionals from different backgrounds, working together on innovative solutions. If you're passionate about building analytics products that truly resonate with users, and if you have the entrepreneurial spirit to navigate complex challenges, Contentful is the place for you. We're not just about work; we believe in a balanced life and offer a generous benefits package, including stock options, comprehensive healthcare, and plenty of paid time off. Come be a part of our inclusive community where everyone is welcome, and make a lasting impact in the world of digital experiences!

Frequently Asked Questions (FAQs) for Staff Software Engineer - Analytics (f/m/d) Role at Jobs for Humanity
What are the responsibilities of a Staff Software Engineer - Analytics at Contentful?

As a Staff Software Engineer - Analytics at Contentful, you will take charge of the end-to-end architecture of our analytics platform, ensuring seamless integration and efficiency. Your responsibilities will include driving performance optimization strategies and mentoring fellow engineers. You'll also collaborate closely with leadership to align product roadmaps with technical feasibility, actively participating in discussions to understand customer needs.

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What qualifications do I need to apply for the Staff Software Engineer - Analytics position at Contentful?

To qualify for the Staff Software Engineer - Analytics role at Contentful, you should have extensive experience in building and scaling data-intensive products, with proficiency in server-side TypeScript. Familiarity with modern data engineering practices and cloud-native architectures, particularly GCP, is highly advantageous. Additionally, a proven track record of designing APIs for high-traffic applications is essential.

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What is the work culture like at Contentful for Staff Software Engineers?

At Contentful, the work culture is deeply rooted in collaboration and inclusivity. As a Staff Software Engineer - Analytics, you’ll experience a supportive environment where diverse perspectives are valued. Team members are encouraged to propose innovative solutions and share ideas openly. The company also emphasizes work-life balance, with ample benefits, including generous time off and professional development support.

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Does the Staff Software Engineer - Analytics role at Contentful involve direct customer interaction?

Yes, the Staff Software Engineer - Analytics role at Contentful involves direct interaction with customers. You will actively participate in calls and discussions to grasp customer needs and challenges. This engagement is crucial for shaping the platform's technical direction and ensuring that the solutions we provide truly resonate with users.

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What growth opportunities does Contentful provide for Staff Software Engineers?

Contentful offers various growth opportunities for Staff Software Engineers, including access to a personal education budget, mentorship programs, and participation in virtual and in-person workshops. You’ll have the chance to continually enhance your skills, advance your career, and take on new challenges while enjoying a nurturing and engaging workplace.

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Common Interview Questions for Staff Software Engineer - Analytics (f/m/d)
Can you describe your experience with data-intensive products and how it relates to the Staff Software Engineer - Analytics role?

It's important to highlight specific projects where you managed high-throughput data systems. Discuss how you approached challenges like scalability and performance. Also, mention any tools or technologies you used, especially those relevant to Contentful's stack, like GCP for cloud services.

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What architectural strategies would you implement for an analytics platform handling billions of events daily?

Discuss strategies like data partitioning, optimized query processing, and the implementation of real-time data pipelines. It's great to share experiences with specific frameworks or architectures you've successfully deployed in past roles.

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How do you approach mentoring junior engineers in a technical environment?

Explain your philosophy on mentorship, focusing on fostering a collaborative and inclusive environment. Give examples of how you’ve helped junior engineers improve their skills and understand project goals, and emphasize the importance of their contributions.

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How do you ensure that a product roadmap aligns with technical feasibility in a cross-functional team?

You can discuss the significance of communication and collaboration in aligning technical insights with business goals. Provide an example of a project where you successfully worked with product managers to address feasibility concerns.

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What best practices do you follow when designing APIs for high-traffic applications?

Mention practices such as maintaining version control, ensuring backward compatibility, and focusing on error handling and monitoring. Talk about examples of APIs you’ve designed that reflect these best practices.

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Can you provide an instance where you drove performance optimizations for an existing system?

Share a specific project where you identified bottlenecks and successfully implemented performance improvements. Describe the metrics you used to measure success and the impact on the overall system.

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What tools and frameworks do you prefer for data pipeline development?

Discuss your experience with tools like GCP Dataflow, PubSub, and BigQuery, while also mentioning any other frameworks you've used for data orchestration and processing. Highlight why you prefer certain tools based on project requirements.

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How do you prioritize tasks when working under tight deadlines in a dynamic environment?

Detail your time management and prioritization strategies. Discuss how you assess task importance based on project goals and team needs and how you maintain open communication with your team about deadlines.

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What role do you see client feedback playing in the analytics product development process?

Express the importance of customer input as a valuable resource for driving product improvements. Describe how you’ve engaged with clients to solicit feedback and how you’ve incorporated that into your development work.

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How do you handle situations where technical decisions clash with business needs?

Talk about the importance of finding a balance between technical excellence and business objectives. Mention specific strategies you employ to communicate effectively with non-technical stakeholders while advocating for sound technical practices.

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DATE POSTED
January 3, 2025

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