
201 - 500 employees
Founded 2014
âď¸ SaaS
SaaS ⢠Cloud Services ⢠Consulting
DoiT International is a cloud services company that provides comprehensive solutions for managing and optimizing cloud infrastructure across multiple platforms such as AWS, Google Cloud, and Microsoft Azure. Their services include cloud cost management, workload intelligence, automation, and consulting. DoiT International helps businesses optimize their cloud environments, improve performance, and enhance security through a combination of advanced technology and expert consulting.
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201 - 500 employees
Founded 2014
âď¸ SaaS
SaaS ⢠Cloud Services ⢠Consulting
DoiT International is a cloud services company that provides comprehensive solutions for managing and optimizing cloud infrastructure across multiple platforms such as AWS, Google Cloud, and Microsoft Azure. Their services include cloud cost management, workload intelligence, automation, and consulting. DoiT International helps businesses optimize their cloud environments, improve performance, and enhance security through a combination of advanced technology and expert consulting.
⢠Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies ⢠Lead system-wide architectural decisions, focusing on data flow, performance, and resilience ⢠Actively contribute to the codebase with high quality code ⢠Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs ⢠Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers
⢠8+ years of backend engineering experience ⢠3+ years architecting high-load systems or data pipelines ⢠Deep expertise in distributed systems using modern languages (Go, Java, Rust, or Python) ⢠Strong, hands-on experience with relational and analytical databases (Postgres, ClickHouse is preferred) ⢠Proven experience with microservices, containers, and modern DevOps practices (Docker, Kubernetes, GitOps, CI/CD) ⢠Demonstrated ability to combine hands-on coding with architectural leadership
⢠Competitive salary ⢠Professional development opportunities ⢠Flexible working arrangements ⢠Remote work options ⢠Inclusive workplace environment
Apply Nowđ 5 days ago
Data Architect defining and governing end-to-end data architecture for the cloud-native data platform. Leading architectural decisions and collaborating with global teams for software solutions in various industries.
đľđą Poland â Remote
đ° Private Equity Round on 2020-12
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
AWS
Azure
BigQuery
Cloud
Google Cloud Platform
Kafka
Python
Spark
SQL
Vault
đ May 6
Data Architect defining and governing the end-to-end architecture for scalable, secure data platforms at Software Mind. Collaborating with cross-functional teams to ensure a future-proof foundation for data initiatives.
đľđą Poland â Remote
đ° Private Equity Round on 2020-12
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
AWS
Azure
BigQuery
Cloud
Google Cloud Platform
Kafka
Python
Spark
SQL
Vault
đ May 1
Data Architect defining end-to-end data architecture for scalable, secure data platforms. Collaborating with teams to establish standards and drive data initiatives.
đľđą Poland â Remote
đ° Private Equity Round on 2020-12
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
AWS
Azure
BigQuery
Cloud
Google Cloud Platform
Kafka
Python
Spark
SQL
Vault
đ April 16
Data Architect utilizing data management skills and strategic approach in a consulting role. Collaborating with clients to design and implement innovative data solutions.
đľđą Poland â Remote
đ° $200M Post-IPO Equity on 2008-07
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
Airflow
Apache
AWS
Azure
Cloud
ETL
Hadoop
Kafka
MongoDB
NoSQL
Oracle
Spark
Splunk
SQL
đ March 24
Senior Data/Solution Architect designing enterprise data and AI solutions on modern cloud data platforms for private equity clients. Leading architectural decisions and collaborating with clients and engineers.
Airflow
AWS
Azure
Cloud
Google Cloud Platform
Python
Spark
SQL