Platform Engineer (CI) Job at Aha!

Staff AI/ML Engineer - CI Platform

The AI Cloud and Developer Infrastructure organization is responsible for delive...

Location

United States , Austin; Mountain View; Remote

Salary:

170000.00 - 240000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

7+ years of experience designing, building and operating production systems at scale in the cloud
Bachelors Degree in Computer Science or related field or equivalent work experience
Experience designing highly scalable, reliable, and maintainable services
Experience writing in Go, Python, or other languages at production scale
Understanding of Unix/Linux, SSH, and networking fundamentals
Attention to detail, and a desire to improve processes and systems around you
Ability to lead and influence others, both internal and external to the team
Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
Ability to effectively make trade-offs and communicate the reasoning
Ability to manage competing priorities, focus on shipping, and work effectively under pressure

Job Responsibility

Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
Influence the team’s technical roadmap
Evaluate new tools and technologies through PoCs
Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
Drive software engineering best practices within your team, and create tooling which encourages these
Help steer the engineering culture on the team
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team
Set the example for high levels of accountability
Execute and deliver impact both individually and through the team

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Sr Staff DevOps Platform Engineer

We are looking for a bright, talented Sr Staff DevOps Platform Engineer to join ...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience working as a Software, DevOps, or infrastructure developer
Significant development experience with the following: Python, Groovy, Bash, PowerShell
Deep knowledge and experience in cloud infrastructure such as AWS, Azure, or Google Cloud
Experience with Containers and Orchestrators (Docker, Kubernetes, ECS, etc.)
Experience with CI/CD Tools and Configuration Management Systems (e.g. Jenkins, Git, Ansible, Terraform, etc.)
Experienced with building the full application release cycle (CI/CD)
Experience in creation of highly automated Infrastructures - as code
Knowledge of operating system administration
Excellent design and analytical skills
Creative troubleshooting skills and out-of-the-box thinking

Job Responsibility

Design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market
Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy
Develop and adopt new technologies aim at improving our overall CI/CD pipelines
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach

Fulltime

Lead Data Engineer (Platform)

As a Lead Data Engineer (Platform), you are passionate about engineering excelle...

Location

North Macedonia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for building frameworks, automation tooling and reusable components
Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
Experience with data engineering platform design, including scalable pipeline and workflow architectures
Strong understanding of software engineering principles (DRY, SOLID, modular design)
Experience working with version control systems and modern Git workflows
Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
Experience implementing automated testing strategies (unit, integration, data quality)

Job Responsibility

Design, build, and maintain scalable data engineering frameworks and platform utilities used across engineering teams
Develop reusable patterns, templates, and abstractions to standardise and accelerate delivery
Define and evolve platform architecture decisions, ensuring scalability, maintainability and consistency
Design and implement CI/CD pipelines and automation frameworks to improve engineering velocity
Define and enforce engineering standards for testing, code quality, deployment and documentation
Identify and eliminate manual or repetitive processes through automation and tooling improvements
Integrate AI-assisted development tools into engineering workflows to improve productivity
Develop and maintain AI engineering assets such as coding guidelines, prompt frameworks and reusable agent configurations
Lead the development and operational support of core data transformation frameworks (including dbt Core at enterprise scale)
Investigate and resolve framework-level issues, including deployment failures, dependency conflicts and production incidents

What we offer

Private health insurance
Education program
Wellbeing program
Free beverages
Events
Competitive conditions
Challenging projects
Cool colleagues
Honest feedback

Fulltime

Lead Data Engineer (Platform)

As a Lead Data Engineer (Platform), you are passionate about engineering excelle...

Location

Poland

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for building frameworks, automation tooling and reusable components
Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
Experience with data engineering platform design, including scalable pipeline and workflow architectures
Strong understanding of software engineering principles (DRY, SOLID, modular design)
Experience working with version control systems and modern Git workflows
Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
Experience implementing automated testing strategies (unit, integration, data quality)

Job Responsibility

Design, build, and maintain scalable data engineering frameworks and platform utilities used across engineering teams
Develop reusable patterns, templates, and abstractions to standardise and accelerate delivery
Define and evolve platform architecture decisions, ensuring scalability, maintainability and consistency
Design and implement CI/CD pipelines and automation frameworks to improve engineering velocity
Define and enforce engineering standards for testing, code quality, deployment and documentation
Identify and eliminate manual or repetitive processes through automation and tooling improvements
Integrate AI-assisted development tools into engineering workflows to improve productivity
Develop and maintain AI engineering assets such as coding guidelines, prompt frameworks and reusable agent configurations
Lead the development and operational support of core data transformation frameworks (including dbt Core at enterprise scale)
Investigate and resolve framework-level issues, including deployment failures, dependency conflicts and production incidents

What we offer

24 working days of paid vacation
National holidays covered
Sick leave (up to 20/year)
Unpaid leave (up to 20/year)
Medical insurance
Multisport card OR Multikafeteria
Maternity & paternity leave support
Internal workshops & learning initiatives
Professional certifications reimbursement
Participation in professional local & global communities

Lead Data Engineer (Platform)

As a Lead Data Engineer (Platform), you are passionate about engineering excelle...

Location

Bulgaria , Sofia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for building frameworks, automation tooling and reusable components
Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
Experience with data engineering platform design, including scalable pipeline and workflow architectures
Strong understanding of software engineering principles (DRY, SOLID, modular design)
Experience working with version control systems and modern Git workflows
Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
Experience implementing automated testing strategies (unit, integration, data quality)

Job Responsibility

Design, build, and maintain scalable data engineering frameworks and platform utilities used across engineering teams
Develop reusable patterns, templates, and abstractions to standardise and accelerate delivery
Define and evolve platform architecture decisions, ensuring scalability, maintainability and consistency
Design and implement CI/CD pipelines and automation frameworks to improve engineering velocity
Define and enforce engineering standards for testing, code quality, deployment and documentation
Identify and eliminate manual or repetitive processes through automation and tooling improvements
Integrate AI-assisted development tools into engineering workflows to improve productivity
Develop and maintain AI engineering assets such as coding guidelines, prompt frameworks and reusable agent configurations
Lead the development and operational support of core data transformation frameworks (including dbt Core at enterprise scale)
Investigate and resolve framework-level issues, including deployment failures, dependency conflicts and production incidents

What we offer

Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance
Co-subsidized transportation & Multisport cards
Premium health insurance for fast and easy access to top healthcare services
Training policy for technical and other skills-related events, courses and certifications
Personal career development roadmap guided by performance evaluations
Self-care program offering psychological consultations & discussions for you and the team
Cozy office space designed for comfort and productivity
Exciting team events and company gatherings

Fulltime

Lead Data Engineer (Platform)

As a Lead Data Engineer (Platform), you are passionate about engineering excelle...

Location

Portugal , Lisbon

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for building frameworks, automation tooling and reusable components
Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
Experience with data engineering platform design, including scalable pipeline and workflow architectures
Strong understanding of software engineering principles (DRY, SOLID, modular design)
Experience working with version control systems and modern Git workflows
Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
Experience implementing automated testing strategies (unit, integration, data quality)

Job Responsibility

Design, build, and maintain scalable data engineering frameworks and platform utilities used across engineering teams
Develop reusable patterns, templates, and abstractions to standardise and accelerate delivery
Define and evolve platform architecture decisions, ensuring scalability, maintainability and consistency
Design and implement CI/CD pipelines and automation frameworks to improve engineering velocity
Define and enforce engineering standards for testing, code quality, deployment and documentation
Identify and eliminate manual or repetitive processes through automation and tooling improvements
Integrate AI-assisted development tools into engineering workflows to improve productivity
Develop and maintain AI engineering assets such as coding guidelines, prompt frameworks and reusable agent configurations
Lead the development and operational support of core data transformation frameworks (including dbt Core at enterprise scale)
Investigate and resolve framework-level issues, including deployment failures, dependency conflicts and production incidents

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Critical Infrastructure Platform Engineer

In alignment with our Microsoft values, we are committed to cultivating an inclu...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree or Trade Certification in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field OR equivalent experience
OR equivalent experience of 1 to 3 years
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Support a hybrid Continuous Integration (CI)/Continuous Delivery/Deployment (CD) DevOps virtualized infrastructure consisting of Windows & Linux Server Operating System, Hyper-V, Active Directory, Domain Name System, PowerShell scripting, with a focus on data protection technologies, service metrics and Key Performance Indicator (KPI) reporting, documentation skills, along with interpersonal awareness, proactivity, and a proven ability to manage and drive delivery of multiple simultaneous cross-group dependent server and service-based projects at scale
Perform, maintain, and continuously improve automated operating system installation and configuration
Configure and maintain hands-on bare metal enterprise-class server systems, including automated periodic firmware and driver updates at scale, Redundant Array of Independent Disks (RAID) and Intelligent Platform Management Interface (IPMI) configurations and hardware troubleshooting
Monitor servers, ensure service levels and KPIs are met and maintained, provide security conscience outcomes maintaining compliance alignment, and ensure 24/7/365 service and infrastructure operations support with continuous optimizations
Transition manual operational processes to automation while leveraging CI/CD DevOps principles
Partner with a global team while helping bring projects to successful outcomes and delivering rigorous documentation artifacts
Share responsibility for automating, securing, configuring, and delivering support of the Critical Environments infrastructure & related programs and projects in existing and future datacenters
Embody our culture and values

Fulltime

Platform Engineer (AWS)

We are seeking a skilled Platform Engineer with strong expertise in Amazon Web S...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of experience in cloud or platform engineering
Strong hands-on experience with AWS services and architecture
Experience with Infrastructure as Code tools (Terraform, CloudFormation)
Strong Linux administration and scripting skills (Python, Bash)
Experience with containerization and orchestration (Docker, Kubernetes/EKS)
Knowledge of networking, security, and identity management in cloud environments
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Ability to work in fast-paced, agile environments
Ownership mindset with a focus on reliability and automation

Job Responsibility

Design, build, and maintain AWS-based cloud platforms and shared services
Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools
Build CI/CD pipelines to support automated deployments and platform reliability
Manage cloud networking, security, identity, and access management
Monitor, troubleshoot, and optimize cloud resources for performance and cost
Collaborate with application, DevOps, and SRE teams to improve developer experience
Ensure platform compliance with security, governance, and regulatory standards
Design architectures using AWS services such as EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, VPC, IAM, and CloudWatch
Implement high availability, disaster recovery, and scalability patterns
Optimize cloud cost using AWS cost management and monitoring tools

Fulltime

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Platform Engineer (CI)

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