AWS DevOps Engineer with DataDog Remote, GRZYBOWSKA WARSZAWA
Czym będziesz się zajmować?
Key Responsibilities:
- Design, implement, and manage AWS cloud infrastructure using best practices and principles.
- Develop and maintain monitoring solutions using DataDog and CloudWatch to ensure optimal performance and reliability of our systems.
- Implement Infrastructure as Code (IAC) using Terraform to automate deployment, scaling, and management of cloud resources.
- Configure and optimize logging solutions using Sumo Logic to gain insights into system behavior and troubleshoot issues effectively.
- Collaborate with cross-functional teams to define requirements, design solutions, and implement improvements to our cloud infrastructure.
- Continuously evaluate and implement new tools, technologies, and best practices to enhance our DevOps processes and capabilities.
- Provide technical guidance and support to junior team members, fostering a culture of learning and innovation.
Kogo poszukujemy?
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
- Proven experience as an AWS DevOps Engineer, with expertise in designing, implementing, and managing cloud infrastructure.
- Strong proficiency in monitoring tools such as DataDog and CloudWatch, with the ability to configure and optimize monitoring solutions.
- Experience with Infrastructure as Code (IAC) tools like Terraform, including design and implementation of automated infrastructure provisioning and management.
- Familiarity with logging solutions such as Sumo Logic or similar tools, including configuration and optimization for log management and analysis.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- AWS certification (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect) preferred.
- Strong problem-solving skills and attention to detail, with a focus on delivering high-quality solutions that meet business requirements.
- Ability to adapt to changing priorities and manage multiple tasks simultaneously in a fast-paced environment.
Czego wymagamy?
4 lata doświadczenia na podobnym stanowisku
Znajomości:
- AWS
- DevOps
- DataDog
- CloudWatch
- IAC
- Terraform
- Sumo Logic
- Angielski
- Polski
Jakie warunki i benefity otrzymasz?
- 170-190 PLN miesięcznie
- B2B - Elastyczne godziny pracy (100%)
- Praca zdalna: W całości
- Szkolenia wewnętrzne, Wyjazdy na konferencje
- Pakiet medyczny, Pakiet sportowy
Kim jesteśmy?
System Verification is a global software quality assurance company specialized in advanced quality monitoring and analytics. By using best practice QA methods and AI insights, we help our clients deliver great end-user experiences. Discover our recognized QA expertise and get a strategic partner that focus on innovation, efficiency and security.
Data publikacji: 2024-04-21
APLIKUJ
Podobne oferty
Data Analyst, WARSZAWA, LeasingTeam Group
Data Analyst Remote, ROBOTNICZA WROCŁAW, Angry Nerds
Data Engineer, WARSAW, Cyclad Sp. z o.o.
Vice President Data Management & Quantitative Analysis I, WROCŁAW, BNY Mellon (Poland) Sp. z o.o. BNY Mellon (Poland) Sp. z o.o.
Loans Administrator & Data Analyst Corporate Trust, WROCŁAW, BNY Mellon (Poland) Sp. z o.o. BNY Mellon (Poland) Sp. z o.o.
Senior Data Engineer, CENTRUM WARSZAWA, Next Technology Professionals
Senior Data Engineer Python/AWS Remote, GRZYBOWSKA WARSZAWA, Capco
Senior Data Engineer, WARSAW, Devire Sp. z o.o.
Senior Data Engineer, WARSZAWA, Link Group
Python Data Engineer, REMOTE WROCŁAW, ComScore (via CC)