Cloud Operations

Cloud Operations Developer Jobs

551 jobs found

Today

Staff Machine Learning Engineer

PayPal Austin, TX

Austin, TX

Today

$179k - $265k/yr Full time Ai Ml Artificial Intelligence Cloud

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Job Description

PayPal is building and scaling machine learning solutions that tackle complex, real-world problems, and this Staff-level role focuses on taking models from design through production. You will lead technical work across modeling, data, deployment, and performance monitoring while partnering with data scientists, software engineers, and product teams to integrate ML capabilities into products and services.

What you’ll do

Lead the development and optimization of advanced machine learning models.
Oversee preprocessing and analysis workflows for large datasets to support model-ready inputs.
Deploy and maintain machine learning solutions in production environments.
Collaborate across disciplines to integrate ML models into products and services.
Monitor and evaluate deployed model performance, then make adjustments as needed.

What you bring

5+ years of relevant experience and a Bachelor’s degree, or an equivalent combination of education and experience.
Extensive experience with machine learning frameworks including TensorFlow, PyTorch, and scikit-learn.
Expertise with cloud platforms such as AWS, Azure, and GCP, along with tools for data processing and model deployment.

Tools and technologies

TensorFlow, PyTorch, scikit-learn
AWS, Azure, GCP

Location and salary

This hybrid role is based in Austin, TX, with an annual pay range of USD 178,500 - 265,100.

Pay also lists a primary location option in San Jose, California with an annual pay range of USD 196,500 - 291,500.

Travel: 0%

Benefits

Comprehensive, choice-based programs to support personal wellbeing, including physical, emotional, and financial needs
Generous paid time off
Healthcare coverage for you and your family
Resources to create financial security
Support for your mental health

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1d ago

Senior Software Engineer AI Platforms

Cisco Systems, Inc. Austin, TX

Austin, TX

1d ago

$151k - $222k/yr Full time Backend Developer Ai Platforms APIs

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Job Description

Cisco Security AI is hiring a Senior Software Engineer to lead AI platform engineering and API development.

Responsibilities

Provide technical leadership by guiding and mentoring a team of Software Engineers to drive technical excellence in API development and cloud deployment
Design, build, and maintain APIs that expose AI capabilities to other teams with a focus on scalability, reliability, and usability
Partner with data scientists and AI engineers to integrate AI models and algorithms into the platform and make them accessible via APIs
Use Kubernetes expertise to architect and optimize orchestration and deployment of AI services in containerized environments
Lead deployment and ongoing management of AI services on AWS, Google Cloud, and Azure to support scalability, security, and cost optimization
Detect and resolve performance bottlenecks to improve response times and resource utilization
Implement monitoring and logging to track deployed AI service performance and health for faster issue resolution
Ensure AI services and APIs meet security and compliance requirements by collaborating with security teams on the necessary controls
Create clear, comprehensive documentation covering APIs and deployment processes so teams can effectively use the platform

Requirements

5+ years of experience as a Senior Software Engineer with a strong background building SaaS services at scale using API-first design and demonstrated technical leadership
5+ years of coding experience in Python, Java, Go and/or C/C++
BA/BS degree with 4+ years of experience, or MS degree with 2+ years of experience as a software development engineer

Technologies

Kubernetes
Python
Java
Go
C/C++
AWS
Google Cloud
Azure
Docker
Kafka
Redis

Preferred Qualifications

Familiarity with AI and machine learning concepts and the ability to collaborate with data scientists and AI engineers
Experience delivering with Docker platform tools or similar tooling
Experience building distributed systems using Kafka, Redis, or similar technologies
Experience developing cloud infrastructure services on AWS, Google Cloud, and/or Azure
Experience using Kubernetes architecture
Knowledge of security and compliance standards

Benefits

U.S. employees access to quality medical, dental, and vision insurance
401(k) plan with Cisco matching contribution
Short- and long-term disability coverage
Basic life insurance
Numerous wellbeing offerings
Up to twelve paid holidays per calendar year (including one floating holiday, plus a day off for their birthday)
Accrue up to 20 days of Paid Time Off (PTO) each year
Access to paid time away to handle critical or emergency issues without using PTO
Additional paid time to volunteer and give back to the community
Employee Stock Purchase Program
Performance-based incentive pay on top of base salary for sales plan components (quota/non-quota)

Location: Austin, TX (onsite) | Salary: USD 150,900 - 222,200 per year

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1d ago

Senior Software Engineer AI Platforms

Cisco Systems, Inc. Atlanta, GA

Atlanta, GA

1d ago

$151k - $222k/yr Full time Backend Developer Ai Platform APIs

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Job Description

Lead the development and maintenance of APIs powering Cisco’s Security AI platform.

Responsibilities

Provide technical leadership by guiding and mentoring a team of Software Engineers
Drive technical excellence in API development and cloud deployment
Design, develop, and maintain APIs that expose AI capabilities to other teams
Ensure APIs are scalable, reliable, and easy for consumers to use
Collaborate with data scientists and AI engineers to integrate AI models and algorithms into the platform
Use Kubernetes experience to architect and optimize deployment and orchestration of AI services in containers
Lead deployment and management of AI services on AWS, Google Cloud, and Azure
Optimize for scalability, security, and cost
Identify and resolve AI platform performance bottlenecks
Improve response times and resource utilization
Implement monitoring and logging to track performance and service health
Support troubleshooting and timely issue resolution
Ensure services and APIs meet security and compliance standards with close collaboration to security teams
Create clear, comprehensive documentation for APIs and deployment processes

Requirements

5+ years as a Senior Software Engineer, with strong experience building SaaS services at scale using API-first design and demonstrated technical leadership
5+ years writing code in Python, Java, Go, and/or C/C++
Education: BA/BS with 4+ years of experience or MS with 2+ years of experience (software development engineer)

Technologies

Python, Java, Go, C/C++, Kubernetes
AWS, Google Cloud, Azure
Docker
Kafka
Redis

Preferred Qualifications

Familiarity with AI and machine learning concepts
Ability to collaborate with data scientists and AI engineers
Experience delivering with Docker platform tools (or similar)
Experience developing distributed systems using Kafka, Redis, or similar
Experience developing cloud infrastructure services on AWS, Google Cloud, and/or Azure
Experience using Kubernetes architecture
Knowledge of security and compliance standards

Benefits

Quality medical, dental, and vision insurance (U.S. employees)
401(k) plan with Cisco matching contribution
Short- and long-term disability coverage
Basic life insurance
Numerous wellbeing offerings
Up to twelve paid holidays per calendar year (including one floating holiday, plus a day off for your birthday)
Accrue up to 20 days of Paid Time Off (PTO) each year
Paid time away to handle critical or emergency issues without using PTO
Additional paid time to volunteer and support community giving
Employee Stock Purchase Program
Sales plan employees earn performance-based incentive pay on top of base salary

Role Context

Cisco Security AI team delivers AI products and a platform for Cisco secure products and portfolios
Focus: security resilience and helping businesses defend against threats using AI and Machine Learning

Location: Atlanta, GA (onsite)

Salary: USD 150,900 - 222,200 per yearly

Employment: Apply note (U.S. and/or Canada): posted range reflects projected hiring range for new hire full-time salaries, excluding equity or benefits; non-sales roles reflect base salary and may include annual bonuses.

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1d ago

Golang Developer

Basin Upfitting West Valley City, UT

West Valley City, UT

1d ago

$72k - $120k/yr Full time Backend Developer API APIs

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Job Description

Design, build, and maintain Go backend microservices for a Linux-based environment at a West Valley City, UT onsite team.

Responsibilities

Review and understand requirements, then design, develop, and maintain Golang backend services to meet those needs.
Design, build, and maintain backend microservices, including services architected and developed from scratch.
Collaborate with other developers, QA, and management to review, verify, and test code before release.
Plan and execute database migrations and schema changes, updating related application code as needed.
Follow established best practices for source code repository management, unit testing, and the application release cycle.
Communicate directly with clients to address issues, respond to queries, and provide status updates.
Track and manage assigned work using the team’s project management tooling.

Requirements

Minimum 5 years of professional experience programming in Go (Golang), with applications running on Linux servers.
Proven experience with microservices architecture, Kubernetes, and Docker.
Proficient with GitHub for version control and team collaboration.
Expert-level database skills with hands-on experience in PostgreSQL.
Experience with database migrations, schema changes, and related code modifications.
Experience with gRPC and Protobuf for inter-service communication.
Experience with Redis for caching.
Experience with event-driven / message-driven architectures using systems such as NATS, Kafka, RabbitMQ, or similar pub-sub platforms.
Bachelor’s degree required.

Technologies

Go (Golang), Linux
Microservices architecture, Kubernetes, Docker
GitHub
PostgreSQL
gRPC, Protobuf
Redis
NATS, Kafka, RabbitMQ
Helm charts
GKE / Google Cloud
OpenTelemetry, Prometheus, Grafana
OpenAI

Experience

Minimum 5 years of overall professional software engineering experience, with a strong focus on Golang and backend systems.

Benefits

401(k)
Dental insurance
Health insurance
Vision insurance
Professional development assistance

Nice to Have

Experience with JIRA or other task/project management tools.
Experience with GitHub Actions or similar CI/CD pipelines.
Experience deploying via Helm charts on GKE / Google Cloud.
Exposure to distributed tracing and observability tooling: OpenTelemetry, Prometheus, Grafana.
Exposure to integrating LLM/AI APIs or third-party AI services (for example, OpenAI) into backend systems.

Soft Skills / Competencies

Ability to multitask across competing priorities and deadlines.
Positive, empathetic, and professional attitude toward colleagues and clients.
Strong command of written and spoken US English (reading, writing, and speaking).
Flexible and willing to take on additional responsibilities; able to work independently with minimal supervision.
Eager to collaborate with clients and developers to enhance overall client satisfaction.

Location: West Valley City, UT (onsite)

Compensation: USD 72,485 - 120,000 per year

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1d ago

Software Engineer

MCKESSON Irving, TX

Irving, TX

1d ago

$106k - $177k/yr Full time Backend Developer APIs Automation

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Job Description

McKesson is seeking a SOE Service Operations Engineering Cloud Architect to design and deliver cloud platforms supporting customer-critical SaaS offerings.

Responsibilities

Design and implement scalable, secure, and resilient cloud solutions on Microsoft Azure
Lead cloud migration and modernization work for mission-critical SaaS applications
Collaborate with engineering, DevOps, and security teams to improve platform performance, reliability, and operational efficiency
Provide architectural guidance for Java-based applications, containerized workloads, and large-scale database environments
Assess and recommend cloud technologies, automation approaches, and engineering best practices
Participate in customer-facing technical discussions and support resolution of complex issues
Define and promote cloud governance, security, and compliance standards
Help drive adoption of AI-enabled tools and capabilities to improve engineering productivity and innovation

Requirements

Degree or equivalent; typically 4+ years of relevant experience
4+ years designing, building, and implementing software business solutions on cloud platforms
Knowledge of architectural techniques and implementations, including Services Oriented Architecture, loosely coupled design, composite application design, and cloud architecture approaches
Familiarity with non-functional cloud requirements: security, performance, scalability, maintainability (deployment), reliability, and supportability
Experience in a customer-facing technical consultancy environment
Strong verbal and written communication; ability to develop and maintain internal and customer-facing technical and procedural documentation
Familiarity with high-availability concepts and cloud architectural techniques
Understanding of information security and risk management concepts, regulations, and certifications including disaster recovery, PHI, HIPAA, PCI, and related system access control policies and processes
Experience architecting cloud solutions on Azure using technologies such as AKS, Docker, Function Apps, Service Buses, and Storage Accounts
Experience with AI-related tools such as CoPilot to speed application architecture and software design

Technologies

Microsoft Azure, Java
AKS, Docker, Function Apps, Service Buses, Storage Accounts, Kubernetes
CI/CD pipelines
Oracle
Linux/Unix
Splunk, Dynatrace, Azure Monitor
Azure certifications, CoPilot

Preferred (not required)

Experience supporting healthcare, pharmacy, or other highly regulated technology environments
Experience leading enterprise cloud migration and modernization initiatives
Familiarity with AI-enabled development, architecture, or operational tools
Azure certifications or other cloud architecture certifications
Experience with large-scale SaaS platforms and complex production environments
Knowledge of Agile delivery methodologies such as Scrum or Kanban
Experience managing large-scale systems or operations projects

Benefits

Medical, Dental, and Vision
Health Spending Accounts
Flexible Spending Accounts
401(k) (U.S.)
Pension (Canada)
Employee Stock Purchase Plan
Mental Health Programs
Flexible Schedules
Paid Time Off
Wellness Program
Education Reimbursement
Volunteer Opportunities
Flexible Work Environment

Location & Compensation

Irving, TX (onsite)
USD 106,100 - 176,800 per year

Technical skills

Experience designing and supporting cloud solutions in Microsoft Azure, including AKS, Function Apps, Service Bus, and related platform services
Strong background with Java applications and enterprise architecture principles
Experience with Oracle and large-scale database-driven applications
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation
Knowledge of Linux/Unix administration, scripting, and cloud operations
Experience with monitoring and observability tools such as Splunk, Dynatrace, or Azure Monitor
Understanding of security, identity management, disaster recovery, and high-availability design
Ability to communicate effectively with technical and non-technical audiences, including customers

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2d ago

Machine Learning Engineer

John Hancock Life Insurance Company (U.S.A.) Boston, MA

Boston, MA

2d ago

$90k - $167k/yr Full time Backend Developer APIs Artificial Intelligence

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Job Description

Build and run production machine learning and data systems in a hybrid Boston role.

Responsibilities

Develop, build, and maintain scalable data pipelines for underwriting, analytics, and machine learning systems
Create and deploy backend services and microservices for data ingestion, retrieval, and ML inference workflows
Deploy, monitor, and maintain machine learning pipelines and backend services in production environments
Perform root-cause analysis for data, model, and pipeline issues, and implement corrective solutions
Partner with data scientists, underwriters, and engineering teams to turn business requirements into technical solutions
Support production releases and large-scale batch processing for underwriting workflows

Requirements

Master’s degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field
3 years of Python programming experience for backend systems, automation, or machine learning workloads
3 years of experience with SQL or NoSQL databases, including PostgreSQL or MongoDB, for data modeling, querying, or pipeline integration
3 years of experience developing or deploying machine learning models using PyTorch or TensorFlow
3 years of experience building or maintaining backend APIs or microservices using FastAPI or Flask
2 years of experience deploying ML workflows or backend services using AWS or Azure
2 years of experience using containerization and orchestration tools including Docker and Kubernetes
2 years of experience using GitHub Actions or TeamCity for Continuous Integration and Continuous Deployment (CI/CD)
2 years of experience designing distributed or scalable systems, including microservices, load balancing, or distributed processing

Technology Stack

Python
SQL, NoSQL
PostgreSQL, MongoDB
PyTorch, TensorFlow
FastAPI, Flask
AWS, Azure
Docker, Kubernetes
GitHub Actions, TeamCity

Work Arrangement

Hybrid (Boston, MA): 3 days in office, 2 days at home

Compensation

Salary range: USD 90,160 - 167,440 per year
Listed salary: $162,198 per year

Benefits

Incentive programs with incentive compensation tied to business and individual performance (eligible employees)
Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans
Retirement savings plans including pension/401(k) savings plans and a global share ownership plan with employer matching contributions
Financial education and counseling resources
Paid time off program (U.S.): up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, plus statutory leaves of absence

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2d ago

Power Platforms Software Engineer

Deloitte San Diego, CA

San Diego, CA

2d ago

$89k - $148k/yr Full time Automation Business Analytics Business Intelligence

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Job Description

Deloitte’s Engineering as a Service team is seeking a Project Software Engineer II to design, configure, develop, test, and deploy Microsoft Power Platform solutions for clients. In this role, you will convert requirements into sprint-based delivery, improve existing implementations, and help support testing, release, maintenance, and sustainment activities.

Working from San Diego, CA (onsite), you will contribute to Deloitte’s Government & Public Services (GPS) practice, supporting federal, state, and local government clients and public higher education institutions through an engineering-led delivery model.

What You’ll Do

Design, configure, develop, test, and deploy Microsoft Power Platform solutions, including Power Apps, Power Automate, Power BI, and SharePoint Online, with a focus on modernizing manual processes and improving operational efficiency.
Translate business requirements into prioritized Agile backlog items and deliver capabilities incrementally across sprint cycles.
Create implementation plans that include timelines, milestones, and level-of-effort estimates, and enhance existing solutions as client needs evolve.
Perform functional, performance, and end-user testing, validating data quality and transfer accuracy, and support release, transition, and handoff to government-designated solution owners.
Develop user guidance and standard operating procedures, troubleshoot production issues, implement bug fixes and minor enhancements, and support ongoing maintenance and sustainment.

Required Qualifications

Bachelor’s degree
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
1+ year(s) of hands-on development experience in Power Apps
Experience developing solutions using Microsoft Power Automate, Power BI, or SharePoint Online
Active Secret security clearance required

Preferred Qualifications

PL-100, PL-900, or PL-600 certification
Experience working in an Agile delivery model
Experience supporting government clients

Team Context

Deloitte’s Government & Public Services (GPS) practice focuses on impact through people, ideas, technology, and outcomes.
Engineering as a Service provides end-to-end design, implementation, and technology operations, grounded in Deloitte’s engineering expertise.
Delivery models can include traditional teams, pools, or pods, aligned to client needs and supporting Advise, Implement, and Operate capabilities.

Additional Skills for Success

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

Salary: USD 88,600 - 147,600 per year. Experience: 1+ year(s). Education: Bachelor’s degree.

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the current pay range: $88,600 to $147,600. You may also be eligible to participate in a discretionary annual incentive program, subject to applicable rules.