Offer summary

Qualifications:

2+ years of experience with AWS cloud technologies, particularly in serverless and big data solutions., Strong proficiency in Terraform for infrastructure automation and deployment., Hands-on experience with CI/CD pipelines and tools like GitHub Actions., Solid scripting skills in Python, with familiarity in Bash being a bonus..

Key responsabilities:

Design and maintain scalable, secure cloud infrastructure to support data team workflows.

Build and manage CI/CD pipelines to streamline deployment processes.

Implement serverless technologies to enhance scalability and reduce operational overhead.

Collaborate with cross-functional teams to align on infrastructure needs and optimize system monitoring.

Job description

WHO ARE WE

Cognism is the leading provider of European B2B data and sales intelligence. Ambitious businesses of every size use our platform to discover, connect, and engage with qualified decision-makers faster and close more deals. Headquartered in London with global offices, Cognism’s contact data and contextual signals are trusted by thousands of revenue teams to eliminate the guesswork from prospecting.

OUR WORK MODEL

Remote: This is a fully remote role, allowing you to work from anywhere within country/region.

Note - we have an office in Zadar which you are welcome to work in if you prefer.

YOUR ROLE

As a DataOps Engineer, you’ll play a critical role in designing, building, and maintaining scalable, secure infrastructure to support our data team’s development workflows. This is a high-impact role focused on DataOps practices—especially in serverless environments and big data domains—enabling frictionless delivery cycles and seamless automation for data infrastructure.

YOUR CHALLENGES & OPPORTUNITIES

Design Scalable Infrastructure – Develop and maintain scalable, secure cloud infrastructure using AWS and Infrastructure as Code (IaC) best practices to support fast-growing data needs.
Automate Deployment Pipelines – Build and maintain CI/CD pipelines using GitHub Actions to enable robust, repeatable deployment processes.
Champion Serverless Practices – Implement and manage serverless technologies like AWS Lambda and Step Functions, reducing operational overhead and boosting scalability.
Drive Collaboration – Partner with Data Engineering and cross-functional teams to ensure alignment on infrastructure needs and efficient delivery.
Optimize System Monitoring – Integrate monitoring tools (Prometheus, Grafana, AWS CloudWatch) to maintain visibility, reliability, and performance across environments.
Ensure Security and Access Controls – Implement Role-Based Access Control (RBAC) using AWS IAM to safeguard systems while enabling team productivity.
Improve Documentation – Maintain detailed documentation for infrastructure, deployment, and CI/CD processes to support onboarding and ongoing team learning.

OUR EXPECTATIONS

Cloud Expertise – 2+ years working with cloud technologies (AWS), including deep experience with serverless and big data solutions.
IaC Mastery – Strong proficiency with Terraform and infrastructure automation, ensuring scalable and repeatable deployments.
CI/CD Experience – Hands-on experience with CI/CD pipelines and tools like GitHub Actions, streamlining development-to-production workflows.
Monitoring & Security – Proficient in setting up monitoring tools (Prometheus, Grafana, OTEL) and managing secure cloud networking (VPCs, Load Balancing, Subnets).
Tooling Knowledge – Familiarity with data tools such as Elasticsearch/OpenSearch, MongoDB, Redis, Airflow, and AWS DMS.
Programming Skills – Solid scripting or coding ability in Python (and ideally Bash), enabling automation and infrastructure logic.
Communication – Strong written and spoken English; able to communicate clearly with both technical and non-technical stakeholders.
DataOps Background – Prior experience in DataOps environments with a focus on data availability, redundancy, and infrastructure resilience.

OUR TECH STACK

Cloud – AWS (Glue, Lambda, Step Functions, API Gateway, RDS, DynamoDB, S3, Data Lakes)
IaC – Terraform
Containers – Docker, AWS ECS, Kubernetes
CI/CD – GitHub Actions
Monitoring – Prometheus, Grafana, OTEL, AWS CloudWatch, Coralogix
Data Tools – Elasticsearch/OpenSearch, MongoDB, Redis, Airflow, Prefect
Scripting – Python (required), Bash (bonus)
Messaging – Kafka, RabbitMQ (bonus)

WHY COGNISM

At Cognism, we’re not just building a company - we’re building an inclusive community of brilliant, diverse people who support, challenge, and inspire each other every day. If you’re looking for a place where your work truly makes an impact, you’re in the right spot!

Our values aren’t just words on a page—they guide how we work, how we treat each other, and how we grow together. They shape our culture, drive our success, and ensure that everyone feels valued, heard, and empowered to do their best work.

Here’s what we stand for:

✅ We Are Nice! We treat each other with respect and kindness (because life’s too short for anything else).
🤝 We Are Collaborative. We’re in this together—great things happen when we work as one.
💡 We Are Solution-Focused. Every challenge is just an opportunity in disguise.
💙 We Are Understanding. We empower and support each other to do our best work.
🏆 We Celebrate Individual Contributors. Every role matters, and so do you!

At Cognism, we are committed to fostering an inclusive, diverse, and supportive workplace. Our values—Being Nice, Collaborative, Solution-Focused, and Understanding—guide everything we do, and we celebrate Individual Contributors. We welcome applications from individuals typically underrepresented in tech, so if this role excites you but you’re unsure if you meet every requirement, we encourage you to apply!

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