We are looking for a skilled remote Lead Mobile DevOps Engineer to optimize our mobile application development processes.
Your focus will be on automating and optimizing our CI/CD pipelines, ensuring efficient deployment cycles across Android and iOS platforms. This role requires expertise in Bitrise, Fastlane, GitHub, and Datadog, and you will work collaboratively with development teams to integrate new features and tests into automated pipelines.
responsibilities
Maintenance and development of continuous integration and continuous deployment (CI/CD) pipelines via Bitrise and GitHub
Management and implementation of release processes through Google Play Console for Android and TestFlight and App Connect for iOS applications
Utilization of Fastlane to automate build and release processes, streamlining deployment and testing
Integration and maintenance of Datadog for application monitoring
Collaboration with development teams to integrate new features and tests into automated pipelines
Performance monitoring of live apps and optimization through continuous feedback from Datadog and other monitoring tools
Assurance of compliance with all digital security protocols during the build and release processes
Documentation of the CI/CD process and updating as necessary to ensure up-to-date practices and tools are employed
Troubleshooting and resolution of issues in the CI/CD pipelines, reducing downtime and improving the efficiency of the deployment process
requirements
At least 5 years of experience as a Mobile DevOps Engineer
Proven track record of leading and mentoring a team of engineers
Expertise in Bitrise, Fastlane, and GitHub
Experience in creating and maintaining CI/CD pipelines for mobile applications
Ability to work collaboratively with development teams to integrate new features and tests into automated pipelines
In-depth knowledge of digital security protocols and how to ensure compliance during the build and release processes
Excellent troubleshooting and problem-solving skills to reduce downtime and improve deployment efficiency
We are looking for a Senior Mobile DevOps Engineer to join our remote team.
As a Senior Mobile DevOps Engineer, you will focus on automating and optimizing our CI/CD pipelines and ensuring efficient deployment cycles across Android and iOS platforms. You will work closely with development teams to integrate new features and tests into automated pipelines, monitor the performance of live apps, and optimize them through continuous feedback from Datadog and other monitoring tools.
responsibilities
Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines using Bitrise and GitHub
Implement and manage release processes through Google Play Console for Android and TestFlight and App Connect for iOS applications
Automate build and release processes using Fastlane to streamline deployment and testing
Integrate and maintain Datadog for application monitoring
Collaborate with development teams to integrate new features and tests into automated pipelines
Monitor the performance of live apps and work on optimizing them through continuous feedback from Datadog and other monitoring tools
Ensure compliance with all digital security protocols during the build and release processes
Document the CI/CD process and update as necessary to ensure up-to-date practices and tools are employed
Troubleshoot and resolve issues in the CI/CD pipelines to reduce downtime and improve the efficiency of the deployment process
requirements
At least 3 years of experience in mobile DevOps engineering, with a proven track record of delivering high-quality and reliable mobile applications
Strong knowledge of Bitrise, Fastlane, GitHub, and Datadog
Experience with Google Play Console for Android and TestFlight and App Connect for iOS applications
Working knowledge of agile methodologies and software development practices
Experience with cloud infrastructure such as AWS, Azure, or Google Cloud
Strong analytical skills and attention to detail
Excellent communication and collaboration skills
Fluency in spoken and written English, allowing effective communication with team members and stakeholders
nice to have
Experience with Kubernetes or Docker for containerization
Demonstrable experience in implementing infrastructure as code with tools such as Terraform or CloudFormation
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We are looking for a Senior AWS Cloud Cost Optimization Engineer to join our team.
We are looking for a Senior AWS Cloud Cost Optimization Engineer to join our remote team. The ideal candidate will have hands-on experience in DevOps or SRE and possess deep experience working on cost analysis and optimization in large AWS environments, with a passion for data analysis. As a team player, you will collaborate with others across the organization to increase visibility to cloud spending by developing a data-driven approach in alerting, reporting, and optimization of cloud costs.
responsibilities
Identify optimization opportunities to maximize ROI on cloud resources and work towards making cloud infrastructure cost-efficient
Fully understand the client’s product and the way it is architected and deployed in the cloud, and the associated costs for each portion of the environment
Advise on architecture and resource optimization, waste management, and capacity management
Monitor and investigate increases in Cloud costs and other usage anomalies
Track utilization of cloud reservation/savings plans and work with teams to re-purpose freed up capacity
Derive insightful knowledge from data patterns and anomalies to inform strategic and operational decisions
Recommend and track savings opportunities related to cloud commitment purchases and commitments
Develop plans for optimization and automation of cost and cost compliance reporting
Create, mature, automate, and govern Cost Optimization policies and best practices
Report KPIs and recommended savings opportunities
Ensure cost improvements are working by partnering with engineering teams
requirements
A minimum of 3 years of experience in AWS cloud cost optimization and management
Extensive knowledge of AWS Cloud Adoption Framework, AWS Cost Explorer, Amazon EC2, Amazon Elastic Kubernetes Service, and Amazon S3
Proficiency in Python for data analysis and automation
Experience with containerization technologies for cloud deployment
Strong understanding of cloud cost optimization best practices and strategies
Ability to track and manage cloud reservation/savings plans and commitments
Capability to develop, modify, and maintain cloud costs and utilization reports, dashboards, and cost usage alerting and forecasting
Excellent verbal and written communication skills in English (B2+)
nice to have
Familiarity with AWS Budgets, AWS Lambda, Amazon CloudWatch, Datadog, New Relic Infrastructure, and Smartsheet
Experience with AWS Spot Instances and Committed/Sustained use
Knowledge of cloud commitment purchases like Reserved Instances and Savings Plans
We're seeking a Lead AWS Cloud Cost Optimization Engineer to become part of our remote team.
The perfect fit would be someone who has hands-on DevOps or SRE experience, as well as an in-depth understanding of cost analysis and optimization in large AWS environments. A passion for data analysis is a must. The role involves collaborating with different teams across the organization to enhance the visibility of cloud spending. This will be done by creating a data-driven approach for alerting, reporting, and optimizing cloud costs.
responsibilities
Discovery of optimization opportunities that maximize ROI on cloud resources and the pursuit of making cloud infrastructure cost-efficient
Comprehensive understanding of the client’s product, how it's architected and deployed in the cloud, and the associated costs for each segment of the environment
Provision of advice on architecture and resource optimization, waste management, and capacity management
Investigation and monitoring of increases in Cloud costs and other usage anomalies
Tracking of cloud reservation/savings plans use and collaboration with teams to re-allocate freed up capacity
Extraction of insightful knowledge from data patterns and anomalies to guide strategic and operational decisions
Recommendation and tracking of savings opportunities related to cloud commitment purchases and commitments
Formulation of plans for optimization and automation of cost and cost compliance reporting
Creation, maturation, automation, and governance of Cost Optimization policies and best practices
Reporting of KPIs and recommended savings opportunities
Partnership with engineering teams to ensure cost improvements are effective
requirements
At least 5 years of experience in AWS cloud cost optimization and management
A minimum of 1 year of relevant leadership experience
In-depth knowledge of AWS Cloud Adoption Framework, AWS Cost Explorer, Amazon EC2, Amazon Elastic Kubernetes Service, and Amazon S3
Proficiency in Python for data analysis and automation
Experience with containerization technologies for cloud deployment
A strong understanding of cloud cost optimization best practices and strategies
The ability to track and manage cloud reservation/savings plans and commitments
The capability to develop, modify, and maintain cloud costs and utilization reports, dashboards, and cost usage alerting and forecasting
Excellent verbal and written communication skills in English (B2+)
nice to have
Familiarity with AWS Budgets, AWS Lambda, Amazon CloudWatch, Datadog, New Relic Infrastructure, and Smartsheet
Experience with AWS Spot Instances and Committed/Sustained use
Knowledge of cloud commitment purchases like Reserved Instances and Savings Plans
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