Anadea

We're looking for a Senior Site Reliability Engineer to join our dream team and play a crucial role in building the Infrastructure and DevOps department that powers our innovative, industry-leading products.
 

How will you make a difference?

● Solid experience (3+ years) participating in and contributing to DevOps transformations and infrastructure evolution

● Strong proficiency with Google Cloud Platform (GCP) services, including services like Cloud Run, BigQuery, Cloud Storage or Networking

● Solid experience with Infrastructure as Code tools (e.g., Terraform) for provisioning and managing GCP resources

● Experience with containerization technologies (e.g., Docker)

● Experience with monitoring and logging tools specific to GCP (e.g., Cloud Monitoring, Cloud Logging, Prometheus, Grafana)

● Experience with some programming languages (preferably Typescript, JS, Go or Python)

● Knowledge of version control systems (e.g., Git)

● A strong preference for working in agile and dynamic environments

● Ability to contribute to teamwork and effective collaboration across teams
 

What will you do?

● Implement and refine monitoring, logging, and alerting strategies using GCP's native tools and other relevant solutions

● Maintain and improve Continuous Integration and Continuous Deployment (CI/CD) pipelines

● Collaborate with mobile, web and backend development teams to implement best practices for deployment, performance optimization, and observability of mobile backends on GCP.

● Ensure that security best practices are followed in the configuration of GCP infrastructure and deployment pipelines for mobile backends.

● Maintain detailed technical documentation on deployment architecture, processes, and troubleshooting guides specific to our mobile backend infrastructure on GCP.

● Assist in identifying and implementing improvements to our GCP infrastructure and DevOps processes to enhance efficiency and reliability.

Why join us?
 

🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

🏖️ Vacation & sick leave

• 15 paid working days of vacation during the first year.
• 20 working days after 2 years.
• 25 working days after 3 years.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.

❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

📑 FOP / Individual Entrepreneur Support if needed
🔄 Paid Bench period between projects
🤝 No time-tracking software — transparent and trust-based time reporting.
🎁 Referral Program

If you are a Data Engineer who enjoys building reliable data infrastructure, taking ownership of production, solving complex problems, and understanding how data impacts real business decisions, we would love to hear from you.

Due to continuous growth, our Data Platform is excited to welcome a motivated Data Engineer to help us align reliable marketing, payments, and product data with business goals to drive organizational success.
As a Data Engineer, you’ll play a vital role in building and operating the pipelines that feed daily reporting, attribution, and LTV and be responsible for ingesting data from ad platforms, payment
systems, and product backends into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate and on time. Working closely with Analytic, Marketing and Data Science teams, you’ll have the opportunity to make a meaningful impact on both our products
and processes.
If you’re passionate about solving complex problems, collaborating across departments, and driving results, this role is perfect for you!
 

As a Data Engineer, you will:

• Build, maintain, and improve data pipelines that support marketing, payments, product analytics, reporting, attribution, and LTV analysis.
• Ingest and transform data from advertising platforms, payment systems, and product backends into the data platform.
• Work with Databricks, including Delta Lake and Unity Catalog, to develop and maintain reliable data models and processing workflows.
• Orchestrate data pipelines and scheduled jobs using Apache Airflow.
• Ensure that silver and gold tables are accurate, reliable, and available on time for downstream users and processes.
• Proactively identify, troubleshoot, and resolve data and pipeline issues to optimize both internal and external processes.
• Take ownership of production data workflows, including scheduled jobs, data quality checks, monitoring, and alerting.
• Investigate failed or delayed production runs and ensure that critical daily processes are restored on time.
• Work with stakeholders across Product, Engineering, Marketing, Analytics, and Data Science to understand requirements, evaluate technical options, and develop appropriate data solutions.
• Balance multiple projects and priorities without compromising quality.
• Develop tools and processes that improve data reliability, efficiency, and usability across the organization.
• Consider business requirements, brand standards, cultural nuances, and regulatory requirements when designing and implementing solutions.
• Contribute to an agile working environment and continuously look for opportunities to improve both technical and operational processes.
   

What will make you stand out

We are looking for someone who combines strong technical expertise with analytical thinking, ownership, and the ability to work effectively in a cross-functional environment.
 

Technical experience:

• Solid professional experience in Data Engineering or a closely related role.
• Strong proficiency in Python and SQL.
• Hands-on experience with Apache Spark.
• Experience working with Databricks, including Delta Lake and/or Unity Catalog.
• Experience with Apache Airflow and workflow orchestration.
• Experience with GCP, particularly Google Cloud Storage (GCS) and BigQuery.
• Experience building, maintaining, and troubleshooting production-grade data pipelines.
• Understanding of data quality, monitoring, alerting, and reliable data delivery.
• Experience working with APIs and integrating external data sources is highly desirable.
   

Nice to have:

• Experience with dbt.
• Experience integrating advertising platforms or marketing data, such as Google Ads or similar platforms.
• Experience working with payment or subscription platforms, such as Stripe, RevenueCat, or similar services.
• Experience working with marketing attribution, subscription data, customer LTV, or related business analytics.
• Experience in a product-oriented or digital business environment.
• Solid understanding of Agile methodologies.
   

Soft skills

• Excellent analytical and problem-solving abilities, with a strategic approach to tackling complex challenges.
• Strong ownership and accountability for production systems and delivered results.
• Ability to investigate issues independently, identify root causes, and implement sustainable solutions.
• Strong collaboration skills and the ability to work seamlessly with cross-functional teams.
• Exceptional communication skills, with the ability to explain technical topics clearly to stakeholders with different levels of technical expertise.
• Ability to manage multiple projects and priorities while maintaining a high standard of quality.
• Curiosity about the business behind the data — including marketing spend, subscriptions, attribution, LTV, and product performance — rather than focusing only on the pipelines that move the data.
• A proactive mindset and willingness to continuously improve processes, tools, and ways of working.
   
• Advanced English proficiency (В2-С1), both written and spoken, for effective communication in an international working environment.
   

Why join us?
 

🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

🏖️ Vacation & sick leave

• 15 paid working days of vacation during the first year.
• 20 working days after 2 years.
• 25 working days after 3 years.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.

❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

📑 FOP / Individual Entrepreneur Support if needed
🔄 Paid Bench period between projects
🤝 No time-tracking software — transparent and trust-based time reporting.
🎁 Referral Program

If you are a Data Engineer who enjoys building reliable data infrastructure, taking ownership of production, solving complex problems, and understanding how data impacts real business decisions, we would love to hear from you.

ABOUT THE ROLE

Due to continuous growth, our Data Platform is excited to welcome a motivated Data Engineer to help us align reliable marketing, payments, and product data with business goals to drive organizational success.
As a Data Engineer, you’ll play a vital role in building and operating the pipelines that feed daily reporting, attribution, and LTV and be responsible for ingesting data from ad platforms, payment
systems, and product backends into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate and on time. Working closely with Analytic, Marketing and Data Science teams, you’ll have the opportunity to make a meaningful impact on both our products
and processes.
If you’re passionate about solving complex problems, collaborating across departments, and driving results, this role is perfect for you!

YOUR MISSION
As a Data Engineer you will:
● Proactively identify, troubleshoot, and resolve issues to optimize both internal andexternal processes.
● Balance multiple projects without sacrificing quality, aligning your work with brand standards, cultural nuances, and regulatory requirements.
● Engage with diverse stakeholders (e.g., product, engineering, and marketing teams) to gather requirements, evaluate options, and develop tools and processes to support our organization’s goals.

WHAT WILL MAKE YOU STAND OUT FROM THE CROWD
We’re looking for someone with a balance of hard and soft skills who can thrive in a dynamic,
cross-functional environment. Here’s what we’d love to see:
● Excellent analytical and problem-solving abilities, with a strategic approach to tackling challenges.
● Strong collaboration skills for working seamlessly with cross-functional teams.
● Exceptional communication skills for engaging stakeholders across various levels.
● Advanced English proficiency in both speaking and writing, enabling clear and effective interactions.
● Experience with Python, SQL, Spark, Databricks (Unity Catalog / Delta), Apache Airflow, and GCP (GCS, BigQuery); dbt and ads/payments APIs (Google Ads, Stripe, RevenueCat or similar) are a plus. A solid understanding of agile methodologies.
● Comfort owning production: scheduled jobs, data quality checks, alerting, and getting a failed daily run back on time.
● Curiosity about the business behind the tables — marketing spend, subscriptions, and attribution — not only the pipelines that move them.

We're looking for a Senior Site Reliability Engineer to join our dream team and play a crucial role in building the Infrastructure and DevOps department that powers our innovative, industry-leading products.
 

How will you make a difference?

● Solid experience (3+ years) participating in and contributing to DevOps transformations and infrastructure evolution

● Strong proficiency with Google Cloud Platform (GCP) services, including services like Cloud Run, BigQuery, Cloud Storage or Networking

● Solid experience with Infrastructure as Code tools (e.g., Terraform) for provisioning and managing GCP resources

● Experience with containerization technologies (e.g., Docker)

● Experience with monitoring and logging tools specific to GCP (e.g., Cloud Monitoring, Cloud Logging, Prometheus, Grafana)

● Experience with some programming languages (preferably Typescript, JS, Go or Python)

● Knowledge of version control systems (e.g., Git)

● A strong preference for working in agile and dynamic environments

● Ability to contribute to teamwork and effective collaboration across teams
 

What will you do?

● Implement and refine monitoring, logging, and alerting strategies using GCP's native tools and other relevant solutions

● Maintain and improve Continuous Integration and Continuous Deployment (CI/CD) pipelines

● Collaborate with mobile, web and backend development teams to implement best practices for deployment, performance optimization, and observability of mobile backends on GCP.

● Ensure that security best practices are followed in the configuration of GCP infrastructure and deployment pipelines for mobile backends.

● Maintain detailed technical documentation on deployment architecture, processes, and troubleshooting guides specific to our mobile backend infrastructure on GCP.

● Assist in identifying and implementing improvements to our GCP infrastructure and DevOps processes to enhance efficiency and reliability.

The Mission
Are you a cloud architect who finds beauty in a perfectly orchestrated pipeline? Do you believe that “manual” is a four-letter word? We are looking for a Senior SRE specialized in BI Ecosystems to join our mission-critical Infrastructure team.
In this role, you won’t just “maintain” systems; you will be the master weaver connecting our advanced Data Analytics tools with a rock-solid, automated GCP/AWS backbone. You will bridge the gap between traditional Business Intelligence and modern Cloud Engineering, ensuring our data flows are fast, our visualizations are seamless, and our infrastructure is invisible.

What You Will Do
1. Master the Orchestration (GCP & GKE)
You will take full ownership of our Google Kubernetes Engine (GKE) clusters. This isn’t just
about pods and services; you’ll manage advanced networking (VPC Service Controls, Shared VPC) and high-availability node configurations to ensure our data platforms never skip a beat.
2. Advance Data Architectures (Lakehouse)
You will design and support a unified Data Lakehouse architecture by integrating BigQuery and Cloud Storage. Your mission is to break down silos, ensuring that our raw data and analytical models coexist in a single, high-performance ecosystem. You will implement robust governance and security policies that ensure data quality and accessibility, providing a “single source of truth” that is both scalable and cost-effective
3. Evangelize Infrastructure as Code (IaC)
Our goal is 100% immutability. You will use Terraform to automate the entire lifecycle of our
GCP resources—from Compute Engine and Cloud Run to Cloud SQL—ensuring consistency
across Dev, Staging, and Production.
4. Empower DataViz Excellence
You will be the enabler for our Data Analysts. You’ll deploy, optimize, and scale Qlik Sense,
Tableau, or Similars environments on GCP, handling everything from SSO/IAM authentication to high-performance connectivity with our backend data sources.
5. Hybrid Cloud & Legacy Modernization
Complexity is our playground. You will manage critical AWS resources (EC2, S3) and ensure
seamless interoperability with GCP. Simultaneously, you will lead the charge in migrating legacy monolithic systems into modern, microservices-based architectures.
6. Data Engineering Collaboration
Working side-by-side with Data Engineers, you’ll help build and maintain robust pipelines using Cloud Dataflow, Cloud Composer (Airflow), and BigQuery. You ensure that the “plumbing” of our data world is leak-proof and high-performing.
7. Reliability, Security & FinOps
● CI/CD: Design sophisticated pipelines (GitLab CI/GitHub Actions) integrating DevSecOps best practices.
● Observability: Implement deep monitoring using Google Cloud Operations Suite and Grafana.
● FinOps: Be the guardian of our budget, identifying and eliminating cloud waste through
smart optimization.

Who You Are (Requirements)
● Cloud Expert: Proven experience managing complex environments in Google Cloud Platform (GCP) and AWS.
● Data Architect: Deep understanding of Data Lakehouse models and governance.
● Kubernetes Pro: Deep knowledge of GKE, including advanced networking and security policies.
● Terraform Ninja: Ability to write modular, scalable, and secure IaC.
● BI Infrastructure Savvy: Experience deploying and tuning enterprise visualization tools (Tableau, Qlik, or Power BI).
● Automation Mindset: Strong scripting skills (Python, Bash, or Go) and mastery of CI/CD engines.
● Data-Driven: Familiarity with Big Data tools like Airflow, BigQuery, and Dataflow.
● Security-First: Solid understanding of encryption, IAM roles, and network security standards.

Why Join Us?
● Impact: You are not a cog in the machine; you are building the machine.
● Tech Stack: Work with the latest tools in the Cloud and Data world (Lakehouse, GKE).
● Culture: We value technical excellence, proactive problem-solving, and a “fail fast, learn
faster” mentality.
● Growth: We invest in your certifications and continuous learning. Ready to redefine how BI meets SRE? If you are a builder who loves solving the puzzle of high-scale data infrastructure, we want to meet you.

Apply now and let’s build the future of data infrastructure together!