Staff Software Architect – DevOps Job at General Motors (Markham)

Staff Software Engineer – DevOps

It's fun to work in a company where people truly believe in what they're doing! ...

Location

India , Bengaluru

Salary:

Not provided

BlackLine

Expiration Date

Until further notice

Requirements

Deep expertise in at least one major cloud provider (AWS, Azure, or GCP)
Hands-on experience with tools CI/CD Tools like Jenkins, GitLab CI, GitHub Actions, or Jenkins, yaml scripting etc
Proficiency in Infrastructure as code with Terraform, Ansible, or similar tools
Strong knowledge of Docker, Containerization and Kubernetes
Programming and Scripting: Advanced skills in one or more languages such as Python, C#
Strong knowledge of Monitoring and Observability, Experience with tools like Prometheus, Grafana, New Relic, Datadog, or the ELK stack
Solid understanding of both SQL, NoSQL databases and other databases
Proven ability to translate business requirements into long-term technical architecture. You have a portfolio of successfully designed and deployed complex, large-scale systems
You excel at breaking down complex, ambiguous problems into clear, actionable, and incremental plans for the team to execute
Proven ability to lead and mentor engineering teams

Job Responsibility

Design, build, and maintain robust CI/CD pipelines to automate software delivery, from code commit to production deployment
Work closely with cross-functional teams including development, quality assurance, and product management to ensure seamless and timely delivery of projects

What we offer

A technology-based company with a sense of adventure and a vision for the future
A culture that is kind, open, and accepting
A culture where BlackLiner's continued growth and learning is empowered
BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity

Staff Software Engineer - Testing Architect

GEICO TECH is looking for a Staff Software Engineer – Testing Architect to own t...

Location

United States , Chevy Chase; Palo Alto; Dallas; Seattle

Salary:

100000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
4+ years in test automation, test platforms, or developer tooling at scale
Highly skilled in building and designing large-scale tools and frameworks for new and legacy tech stack applications
Strong experience building scalable test automation platforms and tools
Hands-on AI/ML experience in testing or quality engineering
Familiarity with safe deployment practices
Kubernetes and Docker experience is required
Proficiency in two or more programming languages (e.g., Java, Python, JavaScript/TypeScript, Go, .NET)
Experience with CI/CD, pipeline design, and integrating test results into deployment and release workflows
Strong communication and collaboration skills

Job Responsibility

Platform & Tools Architecture
Design and build large-scale tools and frameworks for test automation
Build and own scalable tooling for test authoring, execution, orchestration, and reporting
Drive consolidation of fragmented tools and approaches into a single platform
Integrate the platform with release and delivery systems
Lead AI-assisted testing initiatives
Ensure AI capabilities are embedded in the platform
Evaluate and adopt industry solutions for AI test generation and self-healing
Define and implement safe-deployment patterns
Partner with Release Management and DevOps

What we offer

Comprehensive Total Rewards program
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Software Engineer Sr Staff - Test Architect

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, information systems, or equivalent
Typically 10+ years of experience
Experience designing and developing software systems design tools and languages
Experience in the overall architecture of software systems for products and solutions
Designing and integrating software systems running on multiple platform types into overall architecture
Evaluating and selecting forms and processes for software systems testing and methodology, including writing and execution of test plans, debugging, and testing scripts and tools
History of innovation with multiple patents or deployed solutions in the field of software design
Excellent written and verbal communication skills
mastery in English and local language
Ability to effectively communicate product architectures, design proposals and negotiate options at business unit and executive levels

Job Responsibility

Develops organization-wide architectures and methodologies for software systems design and development across multiple platforms and organizations
Identifies and evaluates new technologies, innovations, and outsourced development partner relationships
Reviews and evaluates designs and project activities for compliance with development guidelines and standards
Provides guidance and mentoring to less-experienced staff members

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment

Fulltime

Tech Lead (Junior Software Architect)

Location

India , Ahmedabad

Salary:

Not provided

Vue

Expiration Date

Until further notice

Requirements

Demonstrate expertise in AWS and other cloud platforms to optimize and implement cloud solutions
Experience in Java
Should have worked in Lambda, NodeJS
Be familiar with event driven architecture, and the service to be used to implement it - SQS, SNS, Event Bridge
Should have familiar with an IaC tool Serverless Framework (CloudFormation) or Terraform
Ability to troubleshoot hardware, software, and network problems
Familiarity with DevOps practices and tools
Knowledge of CI/CD pipelines and best practices for automated testing and deployment
Certification in AWS or other relevant cloud platforms is a plus
In-depth knowledge of microservices architecture principles, design patterns, and best practices

Job Responsibility

Collaborate with cross-functional teams to integrate cloud services into the overall technology strategy
Establish and maintain principles, standards, and policies for system integrations
Ensure compliance with security, scalability, and performance best practices across engineering teams
Create and support creation for Low level design before they get picked up by the dev teams
Understand customer requirements and business objectives
Provide strategic advice on using technology to achieve goals
Manage IT initiatives and collaborate with in-house technical staff
Provide assistance with technical issues
Revise existing systems and suggest improvements
Produce reports

What we offer

Hybrid Working Culture
Amazing Perks & Medical Benefits
5 Days Working
Mentorship Programs & Certification Courses
Flexible work arrangements
Free drinks, fridge and snacks
Competitive Salary & recognitions

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Palo Alto

Salary:

90000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - Digital eCommerce

Work Arrangement: This role is categorized as hybrid. This means the successful...

Location

United States , Austin, Texas; Warren, Michigan

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or a related field, or equivalent work experience.
7+ years of rigorous software engineering experience, with a heavy concentration on enterprise-grade eCommerce solutions (shop, search, cart, checkout, order management) with full stack experience.
Extensive background in Site Reliability Engineering (SRE) principles, telemetry, and observability tools (Datadog) to ensure zero-downtime deployments and rapid incident resolution.
Extensive experience designing and building event-driven microservices, high-throughput RESTful APIs, and backend systems (e.g., Java, Python, Node.js).
Proven track record of mastering new languages, frameworks, and architectural paradigms quickly to solve complex business problems.
Strong hands-on experience with at least one major cloud platform (AWS, Azure, GCP) and containerization/orchestration.
Experience leveraging modern AI coding assistants and automation tools to enhance personal and team output.

Job Responsibility

Champion Operational Excellence: Help in platform management by establishing gold-standard monitoring, alerting, and incident response protocols, specifically for our Shopify infrastructure.
Shopify & eCommerce Leadership: Lead the deployment, configuration, and scaling of Shopify and custom eCommerce platforms, ensuring they can handle peak seasonal traffic with absolute reliability and low latency.
Architect for Scale: Design and implement highly available microservices and APIs that seamlessly integrate Shopify with GM's internal systems, IBM OMS, and external partners.
Drive AI & Engineering Excellence: Champion the integration of AI-assisted development tools (e.g., GitHub Copilot, AI-driven observability) to accelerate code delivery, automate repetitive tasks, and elevate team productivity.
Technical Mentorship: Provide strategic technical direction to a team of mid-level and senior software engineers, aligning architectural decisions with Digital Commerce business goals.
System Resilience: Partner tightly with DevOps and SRE teams to embed advanced observability frameworks (e.g., Datadog) and robust CI/CD pipelines directly into the engineering culture.
Innovate the Platform: Architect systems that support personalized recommendations, dynamic pricing, and real-time inventory visibility to continuously optimize the B2C eCommerce flow.

What we offer

Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
This Job may be eligible for relocation benefits.

Fulltime

Select Country

Staff Software Architect – DevOps

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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