Data Engineer Devops Jobs

Plan out projects and involved in project management decisions.

5+ years of experience with DevOps practices, including IAC, CI/CD and Automation.

Experience with Cloud Infrastructure (AWS, GCP).

Experience with Devops Tools (Git, Terraform, Ansible, Jenkins, etc).

Experience to set up logging, monitoring and alerting for infrastructure and applications/services.

Experience with container orchestration (Docker, Kubernetes, Helm Chart, etc).

Knowledge of security best practices and experience implementing security measures for cloud-based systems.

Knowledge of the ISO 27001 control framework and the ability to interpret and apply its requirements effectively.

Manage the release process and ensure smooth deployment of applications.

Minimum 3 years of experience as a DevOps Engineer or a similar role

Strong knowledge of CI/CD pipelines, automation tools, and deployment methodologies.

Experience deploying and monitoring web applications in Google Cloud or AWS.

Ability to optimize app performance and address memory management issues

Having knowledge about couple of Android architecture patterns (eg: VIPER, MVVM)

Knowledge of common design patterns user in Android development

Strong problem-solving skills and eagerness to learn and grow in Android development

Proficiency in Go programming language, but experience in Java still acceptable

Have knowledge of SQL databases and data modelling

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Minimum of 5 years of hands-on experience working with AWS cloud services.

AWS certifications such as AWS Certified DevOps Engineer, AWS Certified Solutions Architect, or related certifications are highly desirable.

Proven experience with services such as ECS, EC2, RDS, S3, CloudFront, IAM, VPC, and CloudFormation/Terraform.

Strong understanding of CI/CD concepts and experience with CI/CD pipeline tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.

Experience with containerization and orchestration using Docker and Kubernetes is a plus.

Designing and provisioning separate Kubernetes clusters for WEB, APP, and DBS VM tiers while ensuring strict adherence to network segmentation requirements

Experience with Helm charts and deploying applications onto Kubernetes clusters

Strong familiarity and experience in deploying Kubernetes clusters on Linux

Excellent problem-solving skills and the ability to independently troubleshoot issues

Effective communication skills to collaborate with our team, along with the ability to work under NDA for sensitive details

Aged between 27 and 39 with a minimum of 10 years of experience in system administration, DevOps, and clustered monitoring systems.

Offer technical assistance for change management, business continuity, automation support, security tool integration, and day-to-day security operations

Great collaboration and time management skills

To come up with elegant solutions, work cross-functionally with project managers, business analysts, and other engineers

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)

At least 5+ years of relevant experience as a DevOps Engineer

Demonstrable experience working with DevOps and AWS

Promote a culture of collaboration and continuous improvement while communicating the benefits, capabilities, and limitations of AI within the organisation

Configure and manage the tools and systems used for software development, ensuring seamless integration

Monitor and manage the infrastructure used for software deployment, ensuring high availability and performance

Identify opportunities to apply AI solutions to enhance our operations and customer experience, fostering innovation and growth

Minimum of 3+ years of experience as a DevOps Engineer, with a strong background in software development and/or operations

Strong knowledge of relevant tools and technologies, such as Docker, Kubernetes, AWS, and Jenkins

Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.

Work on banking projects, leveraging your experience to deliver tailored data solutions.

1-2 years of hands-on experience in data replication or change data capture (CDC).

Prior experience working on banking projects is a strong asset.

Solid problem-solving skills with an analytical mindset.

Effective communication and teamwork abilities.

Adept with monitoring tools like Prometheus, Grafana, and Log Management systems such as ELK/OpenSearch. Skilled in Nginx, PostgreSQL/MySQL, and Redis management.

Develop and deploy tools for infrastructure management, continuous deployment, and automated testing.

Establish robust systems for Backup, Monitoring, Alerting, and Log Management.

Manage and optimize the Java-based service system and its core components, including Nginx, SQL DB, and Redis.

Bachelor's degree or higher in computer engineering or relevant field, backed by a minimum of 5 years of work experience.

Sharp critical thinking, skilled in diagnosis, problem analysis, resolution, and system planning.

Participate in capacity planning, performance optimisation, and cost management initiatives.

Design, implement, and manage scalable and highly available cloud infrastructure on AWS.

Implement and manage monitoring, logging, and alerting systems to ensure the high availability and performance of cloud services.

Conduct regular security assessments and audits to identify vulnerabilities and implement appropriate controls.

4+ years of hands-on experience in DevOps and cloud computing.

Strong experience with AWS services, including EC2, ECS, S3, IAM, VPC, Lambda, CloudFormation, and CloudWatch.

Workflow management or data pipelines (e.g. Airflow, Azure Data Factory, SSIS).

Experienced in managing and designing data pipelines, debugging data issues on various tools or cloud vendor e.g. GCP/Azure/AWS.

Experience in writing software for data extraction and transformation in one or more languages (e.g. Python, Scala, or Java).

Highly skilled in writing and optimizing SQL queries.

Experienced in building data model for Data Warehouse, Data Lake.

Good problem solving, analytical and leadership skill.

a. Manage DevOps on Linux and GCP environment.

c. Manage DevOps and process CI/CD using Azure, Jenkins tool.

b. Proceed Deploying Apps, Service to microservice target Kubernetes and docker.

d. Configure IIS, Apache, Tomcat , Ingres.

e. Configure and maintain Monitoring tools : Zabbix, Grafana, Jmonitor.

f. Operate and implement DevSecOps Culture.

● Has min. 3 years of working experience in the related field

● Experience in one or more RDBMS (SQL Server, PostgreSQL, Oracle)

● Experience with Informatica or other related data Integration tools (Informatica is a MUST)

● Experience with Azure ETL products like Azure Data Factory, Azure Databricks

● Experience in one or more programming languages to develop data (e.g. Python and Scala)

● Experience with big data tools: Kafka & Spark

Provide visibility into operational performance and status through monitoring and incident management tools.

A minimum of 3 years of DevOps or System Administrator experience

Has built, deployed, and managed scalable production-level cloud services, including creating production-level CI/CD pipelines, WAF, IAM, and security setup

Strong debugging and analytical skills with complex backend architecture and the ability to resolve issues quickly in AWS or GCP

Design, create, manage, and troubleshoot CI/CD pipeline automation

Gather, research, and address technical and design requirements

At least 3 years of experience in the field of cloud computing

Experience with CI/CD systems is a plus

Experience with SysOps is a plus

Good communication and collaboration skills

Identifying, analyzing and resolving infrastructure vulnerabilities and application deployment issues

Bachelor’s degree in computer programming, computer science, or a related field.

Familiar with infrastructure-as-code concept and configuration management (Ansible, Puppet, Terraform, etc).

Familiar with server monitoring and application performance management (Grafana, Prometheus, PagerDuty, NewRelic, DataDog, etc).

Bachelor degree in Computer Science or other major with relevant knowledge.

Excellent working knowledge of server operating systems (Linux/Unix and Windows).

Excellent teamwork and communication skills.

Having cloud architect/engineer certifications is a plus.

Hold minimum Bachelors or Masters Degree in Computer Science or equivalent work experience.

Strong experience with automation tools like Rundeck, Ansible.

Minimum 3+ years of experience writing software in any modern software language such as C#.NET, Java, Javascript, Node.js, React.

Minimum 3+ years of experience with open-source CI/CD tools like Jenkins, Gitlab, Github Actions

Strong experience with ELK stack and familiar with microservices architectures

Champion and implement a culture of SRE to maintain a high-quality platform infrastructure

Experience in one or more programming languages: Java, Python, C/C++, JavaScript, TypeScript

Basic knowledge of Linux and networking

Implement integrations requested by internal and external departments

Maintaining the deployment pipelines and the running system in a secure, stable and easy-to-use way

Investigate and resolve technical issues

Ability to work on a distributed team

At least 1-5 years of hands-on experience in data engineering roles or roles that touch many aspects of the data lifecycle

Excellent coding abilities in Python and SQL

Have at least 2 years of experience working in cloud technologies (e.g. GCP/AWS/Azure)

Have experience building data pipelines and managing data warehouses in the cloud

Excellent communication skills, both in Bahasa Indonesia and English

Good to have working knowledge in the following technologies

Plan out projects and involved in project management decisions.

3+ years of experience with DevOps practices, including IAC, CI/CD and Automation.

Experience with Cloud Infrastructure (AWS, GCP).

Experience with Devops Tools (Git, Terraform, Ansible, Jenkins, etc)

Experience to set up logging, monitoring and alerting for infrastructure and applications/services.

Experience with container orchestration (Docker, Kubernetes, Helm Chart, etc).