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Staff Software Engineer - Analytics (f/m/d)

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-Remote

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

At Contentful, we are excited to invite applications for the role of Staff Software Engineer - Analytics in beautiful Dublin, Ireland. This is a unique opportunity for a seasoned individual who is not just technically proficient but also possesses an entrepreneurial spirit to lead the evolution of our Analytics product. You will collaborate closely with our CTO and senior leadership to define and drive end-to-end architectures that prioritize customer satisfaction and platform scalability. By engaging directly with clients, you'll have the chance to gather insights that shape the future of our product. As a hands-on leader, your coding skills in server-side TypeScript will be instrumental as you design APIs and optimize data pipelines to handle high volumes of daily events. Moreover, you'll play a pivotal role in mentoring your team, fostering an atmosphere where ideas can flourish and everyone can contribute to the bigger picture. If you’re eager to innovate and create products that resonate with users while making a meaningful impact, we would love to hear from you. Join us at Contentful and let's reshape digital experiences together!

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

The Staff Software Engineer - Analytics at Contentful is responsible for driving the architecture of our analytics platform, ensuring scalability and performance optimization, and mentoring engineering teams for collaborative success. This includes hands-on engagement in coding, API design, and overseeing the implementation of data pipelines that can handle billions of events daily.

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

To apply for the Staff Software Engineer - Analytics role at Contentful, candidates should have extensive experience in building data-intensive products, strong familiarity with server-side TypeScript, and a proven track record in developing APIs for high-traffic applications. Additionally, domain experience in analytics or data platforms is preferred.

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How does the Staff Software Engineer - Analytics role align with the company’s strategic goals at Contentful?

The Staff Software Engineer - Analytics role is crucial to aligning technical feasibility with content strategy at Contentful. By closely partnering with leadership and product teams, you'll help shape the roadmap to ensure we meet customer needs and drive the product’s vision forward.

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What opportunities for growth and learning are available for the Staff Software Engineer - Analytics at Contentful?

At Contentful, the Staff Software Engineer - Analytics enjoys a personal education budget to further skills development, as well as access to virtual and in-person events that foster networking and learning opportunities, helping you grow both personally and professionally.

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What is the company culture like at Contentful for the Staff Software Engineer - Analytics role?

The culture at Contentful is inclusive and collaborative. As a Staff Software Engineer - Analytics, you will find a supportive environment that values diverse perspectives, encourages innovation, and celebrates the contributions of every team member, all while focusing on creating impactful digital experiences.

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Common Interview Questions for Staff Software Engineer - Analytics (f/m/d)
Can you describe your approach to building scalable data architectures as a Staff Software Engineer - Analytics?

In my experience, I focus on establishing clear architectural principles that prioritize both performance and scalability. I often start by mapping out the data flows and potential bottlenecks, then implementing solutions that leverage cloud-native technologies, like those offered by GCP, to handle high volumes of event data efficiently.

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How do you ensure collaboration within your team while mentoring as a Staff Software Engineer - Analytics?

I believe in fostering an inclusive team culture where everyone's input is valued. Regular check-ins, code reviews, and brainstorming sessions help create a collaborative atmosphere. I also make it a point to mentor team members by guiding them to see how their tasks contribute to the overall product vision.

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What strategies do you employ to keep up with customer needs in your role?

Maintaining open lines of communication with customers is key. I actively engage in conversations and discussions to grasp their challenges, preferences, and feedback. This direct input is invaluable when aligning our engineering decisions with the needs of our clients.

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Can you share an experience where you resolved a complex technical issue in data pipelines?

Certainly! In a past project, we faced significant latency issues in our data processing pipelines. I conducted a thorough analysis of the bottlenecks, restructured the pipeline using more efficient algorithms, and optimized data storage solutions, leading to a marked improvement in processing speed.

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What is your process for designing APIs that handle high web traffic?

My approach to designing high-traffic APIs involves creating a clear and modular architecture that can scale effectively. I emphasize proper documentation, thorough testing, and scalability to accommodate unforeseen spikes in traffic, ensuring robust performance under load.

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How do you balance hands-on engineering with strategic leadership as a Staff Software Engineer - Analytics?

I prioritize time management and create a clear delineation between my strategic tasks and hands-on engineering work. This allows me to lead effectively while still contributing to the coding projects that matter most. By setting realistic goals and involving the team, I ensure both areas receive the attention they deserve.

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What role does feedback play in your development processes?

Feedback is central to my development processes. I actively seek out input from my peers and team members, believing that constructive criticism fosters innovation and refinement. Regular feedback loops, whether from code reviews or customer surveys, help us continuously improve our products.

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How have you implemented machine learning models in production environments?

In previous roles, I implemented machine learning models by following a structured pipeline: selecting the right framework, collaborating with data scientists to optimize models, and deploying them via cloud services, ensuring they are monitored and maintained for reliability and scalability.

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What challenges do you foresee in the role of Staff Software Engineer - Analytics and how would you address them?

One challenge might be adapting to the fast-paced changes in technology and customer needs. I plan to address this by staying current with industry trends, encouraging a culture of learning within my team, and maintaining flexibility in our engineering practices to incorporate new methodologies.

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What tools and frameworks do you prefer for optimizing data pipelines?

I typically favor tools like Google Cloud BigQuery, PubSub, and Dataflow for building and optimizing data pipelines. They offer a robust architecture that handles large volumes of data efficiently and integrates well with existing workflows, allowing for real-time data processing and analytics.

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DATE POSTED
January 3, 2025

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