Cloud Platform

Cloud Platform Developer Jobs

808 jobs found

Today

Principal Software Engineer

Unity Technologies San Francisco, CA

San Francisco, CA

Today

$160k - $210k/yr Full time Senior Application Security Cloud Infrastructure

Apply Now

Job Description

Unity Technologies is seeking a Principal Software Engineer with a focus on Site Reliability Engineering (SRE) and DevOps to help design, operate, and improve infrastructure that supports reliable and scalable systems. This role emphasizes availability and performance, automation of operational workflows, and technical leadership across engineering teams.

Role Overview

The Principal Software Engineer will build and maintain infrastructure systems that enhance service reliability and operational efficiency. The position also involves leading efforts to reduce incidents through strong automation, monitoring, and well-defined response and recovery practices. Collaboration with software engineering and infrastructure teams is central to the work, along with mentoring engineers on infrastructure standards and best practices.

Responsibilities

Design and maintain scalable and reliable infrastructure
Lead efforts to improve system availability and performance
Automate deployment, monitoring, and operational workflows
Develop incident response and disaster recovery strategies
Collaborate with software engineering and infrastructure teams
Mentor engineers and establish technical best practices

Requirements

Extensive experience in software engineering, SRE, or DevOps
Strong knowledge of cloud platforms and distributed systems
Experience with CI/CD, infrastructure as code, and monitoring tools
Proficiency in scripting or programming languages
Excellent technical leadership and problem-solving skills

Key Technologies

CI/CD
Infrastructure as code
Monitoring tools

Compensation

USD 160,000 - 210,000 per year (pay range: $160,000.00 - $210,000.00 per year).

Work Location

San Francisco, CA (onsite, in person).

Benefits

Competitive salary
Paid time off, subject to eligibility
Health benefits, subject to eligibility
Professional development opportunities
401(k) matching
Dental insurance
Employee assistance program
Employee discount
Flexible schedule
Health insurance
Life insurance
Paid time off
Parental leave
Relocation assistance
Retirement plan
Vision insurance

View full job page →

Today

Data Engineer III

Deloitte Washington, DC

Washington, DC

Today

$108k - $180k/yr Full time Analytics Ansible Apache Airflow

Apply Now

Job Description

Deloitte’s Data Engineer III role sits within the AI & Engineering team and focuses on designing, coding, and administering relational and analytical database solutions. You will help build and orchestrate data pipelines, implement infrastructure and governance for data platforms, and work with clients through platform design evaluations and training.

This position is based in Washington, DC and is onsite, supporting Deloitte’s Government & Public Services (GPS) practice and its work with federal, state, local, and public higher education clients.

What you’ll do

Design, code, test, debug, and document relational and analytical database solutions with a focus on performance, scalability, security, and system integration
Administer cloud-based database platforms using role-based access controls, schema management, performance tuning, capacity planning, and backup, recovery, and disaster-recovery practices
Extract, parse, validate, and transform structured and unstructured data using parameterized SQL, Python, and dbt; build and maintain pipeline orchestration workflows with Airflow and Dagster; and maintain data dictionaries, metadata, and data lineage
Implement governed data sources and calculation logic for dashboard and reporting tools, including Tableau, and test filters, parameters, and user interactions
Develop infrastructure-as-code, configuration management, containerized deployment, and version-controlled CI/CD practices using Terraform, Ansible, and Docker
Conduct platform design evaluations, develop program plans and implementation approaches, design access models that support auditability and separation of duties, and communicate cost, performance, scalability, and reliability tradeoffs; train client personnel on data platforms and workflows

Requirements

Bachelor’s degree
Ability to obtain and maintain the required clearance for this role
7+ years of experience designing and coding databases for big data and administering cloud-based relational and analytical database platforms, including role-based access control and schema management
Experience designing databases for performance, scalability, security, and system integration; building and maintaining data pipeline orchestration workflows using Apache Airflow or Dagster; and developing transformation logic with SQL, Python, and dbt
Experience with infrastructure-as-code, configuration management, and containerization using Terraform, Ansible, and Docker; building version-controlled CI/CD workflows; and supporting backup, recovery, and disaster-recovery planning for production database environments
Ability to travel 10-15%, on average
Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies you may use

SQL, Python, dbt
Airflow, Dagster, Tableau
Terraform, Ansible, Docker
CI/CD
Amazon Aurora, Snowflake, Amazon SageMaker, AWS GovCloud

Skills a successful candidate will demonstrate

Ability to work independently and collaborate as part of a team
Effective written and verbal communication
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, dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

Team context

Deloitte’s Government & Public Services (GPS) practice focuses on impact through people, ideas, technology, and outcomes
Work spans federal, state, and local government clients as well as public higher education institutions
The AI & Data offering provides a full spectrum of solutions for designing, developing, and operating data and AI platforms, products, insights, and services
Offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities so they can mature and scale effectively

Preferred

Experience using AWS GovCloud database and analytics services, including Amazon Aurora, Snowflake, and Amazon SageMaker
Experience implementing governed data sources and calculation logic for Tableau or business intelligence and data visualization platforms
Experience supporting database platforms in a federal environment governed by FISMA, NIST requirements, or FedRAMP requirements

Salary: USD 107,700 - 179,500 per year

View full job page →

Today

Data Engineer

GreenState Credit Union North Liberty, IA 🇺🇸 Remote

North Liberty, IA

Today

$119k - $139k/yr Full time Analytics Automation Developer Azure

Apply Now

Job Description

The Data Engineer at GreenState Credit Union builds and maintains enterprise data solutions, with a strong emphasis on Microsoft Azure pipeline development to deliver reliable data assets. This role supports data engineering, advanced modeling and ETL work, and the implementation of governance and quality controls.

Responsibilities

Follow the Credit Union's core values and Service Standards while supporting the organization’s mission and vision.
Maintain a consistent member service focus for both internal and external partners.
Work effectively with coworkers to complete assigned duties and responsibilities.
Ensure the confidentiality of member information.
Support a diverse and inclusive work environment.
Develop comprehensive data pipelines using Azure Data Factory, Power BI, and other tools.
Create advanced data models and ETL processes across multiple enterprise systems.
Implement data governance and quality control mechanisms.
Design and maintain complex data transformations using languages such as Python, Spark, SQL, M, DAX, and more.
Develop, maintain, and optimize data solutions.
Collaborate with business stakeholders to translate complex business requirements into technical solutions.
Perform advanced data cleansing and preparation techniques.
Support performance optimization for business unit solutions.
Maintain strong attention to detail.
Take initiative and solve problems independently.
Maintain excellent communication with the Credit Union team and the broader organization.
Participate annually in community service organizations and/or credit union sponsored events to enrich the community.
Perform other duties as assigned.

Requirements

Bachelor’s Degree in Computer Science, Data Engineering, or a related field.
4 to 6 years of experience in data engineering and business intelligence.
Advanced proficiency in ETL processes, specifically in Azure cloud services.
Advanced proficiency in Power BI.
Advanced proficiency in Python.
Advanced proficiency in SQL.
Strong understanding of data modeling and warehouse design.
Experience with cloud data architectures.
Excellent analytical and problem-solving skills.
Financial services industry experience preferred.

Technologies

Microsoft Azure
Azure Data Factory
Power BI
Python
Spark
SQL
M
DAX

Compensation and Location

Location: North Liberty, IA (remote) / Work From Home

Salary Range: USD 119,078 - 139,216 per yearly

Benefits: progressive benefit package

The salary range for this position is $119,078.70 - $139,216.74 with a progressive benefit package.

Reporting and Supervision

Reporting Relationship: Director Data & Analytics
Supervisory Responsibilities: This position is not responsible for the supervision of others.

Equal Opportunity Employment

GreenState Credit Union is an EEO/AA Employer. The organization strongly encourages all individuals to apply for openings with the credit union.

Education

Bachelor's Degree in Computer Science, Data Engineering, or related field

View full job page →

Today

Senior Data Engineer (Healthcare)

VeeRteq Solutions Inc. Philadelphia, PA

Philadelphia, PA

Today

Full time Senior Analytics Automation Developer

Apply Now

Job Description

This role is for a Senior Data Engineer to design, build, and support cloud-based data platforms in a healthcare setting. Based in Philadelphia, PA (hybrid), you will work with Azure and Databricks to deliver scalable pipelines, reliable data services, and analytics-ready models for data-driven decision-making.

Location

Philadelphia, PA (hybrid)

Role Responsibilities

Build and maintain ETL and ELT data pipelines.
Develop data solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS).
Create and optimize PySpark and SQL data processing frameworks.
Implement Delta Lake and Lakehouse architectures.
Support data migration, modernization, and cloud transformation initiatives.
Ensure data quality, reliability, and performance across pipelines and datasets.
Build data models and curated datasets to support reporting and analytics.
Implement CI/CD, monitoring, and DevOps best practices.
Collaborate with business users, architects, and product teams in an Agile environment.

Required Skills & Technologies

Azure Databricks
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS Gen2)
PySpark
Python
SQL
Delta Lake
Data Modeling
ETL/ELT Development
Azure Cloud Platform
Git & CI/CD
Agile/Scrum

Preferred Skills

Azure Synapse Analytics
Power BI
Azure DevOps
Infrastructure as Code (IaC)
FHIR/HL7
AI/ML Data Pipelines

Required Experience

7+ years in Data Engineering
5+ years with Azure Data Technologies
2+ years in Healthcare, Payer, Health Plan, or Managed Care domains
Experience with large-scale data pipelines and integration solutions

Additional “Nice to Have” Domains

Claims Data
Membership Data
Provider Data
Care Management Data

View full job page →

Today

Sr. Machine Learning Engineer

Workday Boulder, CO

Boulder, CO

Today

$163k - $257k/yr Full time Ai Ml Artificial Intelligence Automation

Apply Now

Job Description

Workday is hiring a Senior Machine Learning Engineer for the AI Model Serving team, responsible for technical leadership on a production platform that powers Workday agents and large-scale machine learning workloads. The role focuses on designing and operating high-throughput systems, improving reliability and performance, and supporting governance and cost controls for AI model serving.

Key Responsibilities

Provide technical leadership by making critical design decisions that improve platform performance, reliability, and scalability.
Design, implement, and maintain large-scale systems that move machine learning models into production.
Author design documents to align teams on new system components and enhancements to existing components.
Evaluate and adopt new technologies available within Workday and across the broader industry.
Troubleshoot, improve, and scale continuous integration software pipelines.
Collaborate with software engineers, machine learning engineers, and data scientists across partner teams.
Respond to alerts and debug production issues to maintain platform health and reliability.
Review pull requests with focus on consistency, performance, readability, and security.
Develop documentation to share knowledge across the engineering organization.

Required Qualifications

6+ years of related experience in software development, with emphasis on building and operating large-scale distributed systems.
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
Deep hands-on experience deploying and scaling workloads on Kubernetes, with a focus on GPU resource management.
Understanding of optimizing GPU utilization for hosting and tuning smaller open-weight LLMs using modern inference engines (for example, vLLM and SGLang).
Familiarity with GPU memory constraints, serving tuned models such as LoRA, and autoscaling based on hardware metrics.
Deep experience designing, building, and scaling production-grade distributed systems.
Working knowledge of the full software development lifecycle, including coding standards, testing, code reviews, source control, and deployment for complex, high-throughput platforms.
Strong proficiency in Python, including production-level code and building systems using Python-based frameworks.
Familiarity with both large language models and traditional ML models, including serving, scaling, and production monitoring.
Ability to understand operational differences across model types and design abstractions that support both effectively.
Experience designing and maintaining monitoring strategies that provide visibility into system health, performance, and cost.
Excellent written and verbal communication skills, including producing clear design documents and articulating complex technical ideas to build consensus.
Collaborative mindset, including experience mentoring engineers and fostering an inclusive team environment.

Technologies

Ray Serve
Kubernetes
GPU
vLLM
SGLang
LoRA
Python
Continuous integration

About the Team

The AI Model Serving team is the engine behind every production Workday agent and machine learning use case.
Owns services that power all production AI workloads.
Acts as the gateway to vendor-hosted LLMs including GCP, AWS Bedrock, and Gemini, while also serving and scaling Workday-hosted internal models.
Hosts thousands of traditional ML models across sharded Ray Serve clusters and maintains Workday’s production model registry.
Supports approximately 2,000 requests per second, with peaks above 10,000 RPS in the largest clusters.
Scaling architecture supports upgrading systems to support 20+ new AI agents as they enter production.
Open-weight LLM hosting includes infrastructure for hosting and tuning open-source LLMs within Workday’s stack.
Focuses on performance and reliability by driving down core latency while maintaining stability.
Implements enterprise governance by hardening a unified vendor interface and adding advanced cost-governance controls.

About the Role

As a Senior Machine Learning Engineer on the AI Model Serving team, you will shape the platform’s vision and direction while driving outcomes through critical design decisions. Your work will influence Workday’s ability to serve AI at scale, covering traditional ML models through to the latest large language models that power Workday’s agents.

Location and Compensation

Location: Boulder, CO (hybrid)
Salary Range: USD 163,000 - 257,400 per year
Workday Pay Transparency Statement (Primary Location): USA.CO.Boulder, base pay range $171,600 - $257,400
Additional US Locations (Base Pay Range): $163,000 - $288,000
Total Compensation Note: May be eligible for a Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants

Flexible Work

With Flex Work, spend at least half (50%) of your time each quarter in the office or in the field with customers, prospects, and partners (depending on role).

Application Deadline

The application deadline for this role is the same as the posting end date: 10/30/2026.

Equal Opportunity and Accommodations

Workday considers qualified applicants with arrest and conviction records pursuant to applicable Fair Chance law.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Reasonable accommodations are available during the application process.
If you need a reasonable accommodation, email accommodations@workday.com as far in advance as possible.

Workday Careers Policy

Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Workday will never ask candidates to pay a recruiting fee or pay for consulting or coaching services to apply for a job.

View full job page →

Today

Data Engineer - Data Engineer III

Deloitte Rosslyn, VA

Rosslyn, VA

Today

$108k - $180k/yr Full time Analytics Ansible Apache Airflow

Apply Now

Job Description

Deloitte is hiring a Data Engineer III for its AI & Engineering team. The position focuses on designing, building, and administering relational and analytical database solutions, data pipelines, and governed reporting data sources within an onsite environment in Rosslyn, VA.

Role Summary

The Data Engineer III will develop database and data platform capabilities across performance, scalability, security, and system integration. The role includes cloud database administration, infrastructure-as-code and CI/CD practices, and support for platform design and client enablement.

Responsibilities

Design, code, test, debug, and document relational and analytical database solutions aligned to performance, scalability, security, and system integration requirements
Administer cloud-based database platforms with role-based access controls, schema management, performance tuning, capacity planning, and backup, recovery, and disaster-recovery practices
Extract, parse, validate, and transform structured and unstructured data using parameterized SQL, Python, and dbt; build and maintain data pipeline orchestration workflows using Airflow and Dagster; maintain data dictionaries, metadata, and data lineage
Implement governed data sources and calculation logic for dashboarding and reporting tools, including Tableau, and support testing of filters, parameters, and user interactions
Develop infrastructure-as-code, configuration management, containerized deployments, and version-controlled CI/CD practices using Terraform, Ansible, and Docker
Evaluate platform design options and develop program plans and implementation approaches, including access model design for auditability and separation of duties; communicate tradeoffs related to cost, performance, scalability, and reliability; train client personnel on data platforms and workflows

Required Qualifications

Bachelor’s degree
Ability to obtain and maintain the required clearance for this role
7+ years of experience designing and coding databases for big data and administering cloud-based relational and analytical database platforms, including role-based access control and schema management
Experience designing databases for performance, scalability, security, and system integration; building and maintaining data pipeline orchestration workflows using Apache Airflow or Dagster; and developing SQL, Python, and dbt transformation logic
Experience with infrastructure-as-code, configuration management, and containerization, including Terraform, Ansible, and Docker; building version-controlled CI/CD workflows; and supporting backup, recovery, and disaster-recovery planning for production database environments
Ability to travel 10-15% on average based on client needs and industries/sectors served
Legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies

SQL
Python
dbt
Airflow
Dagster
Tableau
Terraform
Ansible
Docker

Preferred Qualifications

Experience using Amazon Web Services (AWS) GovCloud database and analytics services, including Amazon Aurora, Snowflake, and Amazon SageMaker
Experience implementing governed data sources and calculation logic for Tableau or business intelligence and data visualization platforms
Experience supporting database platforms in a federal environment governed by FISMA, NIST requirements, or FedRAMP requirements

Team

Deloitte’s Government & Public Services (GPS) practice is designed for impact. Within Deloitte, the AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services.

Location, Compensation, and Experience

Location: Rosslyn, VA (onsite)
Salary: USD 107,700 - 179,500 per year
Minimum Experience: 7 years
Education: Bachelor’s degree

View full job page →

Today

Data Engineer

Associated Electric Cooperative, Inc. Springfield, MO

Springfield, MO

Today

Full time Analytics Artificial Intelligence Azure Data Engineer

Apply Now

Job Description

Join Associated Electric Cooperative’s Plant Asset Management Technology team to help build a digital twin for a fleet of power plants.

Responsibilities

Design lakehouse models and data pipelines that combine telemetry from thousands of sensors and devices with work management and financial data.
Build the data mart and semantic model that supports user-driven analytics.
Create high-level models that connect asset-level predictive models with financial, work management, and operational data for a fleet-wide view of health, risk, and performance.
Partner with business teams responsible for asset models to ensure they connect smoothly into the digital twin.
Integrate financial perspectives into reliability and lifecycle models.
Continuously add operational, planning, and maintenance systems to enrich the digital twin.
Advocate for end users across the organization, from plant floor staff to executives.
Identify better ways to capture, model, and deliver insights, and connect them to the information users need for faster, smarter decisions.
Collaborate with PM, UX, software engineers, and expert stakeholders to convert data, models, and visuals into a web app.
Champion design, value, and quality so each release strengthens the product.
Work in a small, empowered agile product team with a dedicated Product Manager (direct lead), UX designer, software engineers, and analysts.
Iterate in close partnership with plant staff and executives to ensure the web-based product works in real-world usage.

Requirements

Bachelor’s degree in a STEM field (or equivalent experience) with strong foundations in data engineering, system design, and enterprise integration patterns.
Strong proficiency with ETL/ELT, SQL/NoSQL, and cloud-based data platforms, especially Microsoft Azure (Storage Accounts, SQL Databases, Synapse Analytics, Data Factory, Data Lake, Delta Lake).
Deep understanding of data architectures for analytics and data science operations, including data modeling, star schemas, semantic layers, and decoupled integration patterns that scale across the enterprise and support ML/AI workloads.
Ability to build and evolve high-level Databricks models that power the digital twin by combining financial, operational, and reliability data.
Experience integrating asset-level models into fleet-wide views and ensuring they connect seamlessly to the broader platform.
Capability to design clear, dense visualizations, including dashboards, charts, and tools for expert users to explore insights and perform deep analytics.
Familiarity with best practices (for example, Stephen Few’s work) is a plus.
Comfort with scripting/programming (Python or similar) to automate pipelines and integrate with downstream systems.
Bonus: ability to communicate effectively with software engineers and guide how data integrates into the UI.
Ability to understand business processes, clarify the “why” behind requirements, and connect technical decisions to business value.
Excellent communication skills to navigate technical and business discussions, align diverse teams, and lead initiatives without formal authority.

Technologies

Azure
Databricks
Delta Lake
Azure SQL
Cosmos DB
Azure Web Apps
Python
C#
ETL
ELT
SQL
NoSQL
Azure Storage Accounts
Synapse Analytics
Azure Data Factory
Azure Data Lake
SQL Databases
Data Lake
Star schemas
Semantic layers
ML/AI

Benefits

Total compensation package based on experience and contributions.
401(k) program with a generous employer match.
PTO and paid holidays.
Premier healthcare plan including medical, dental, and vision coverage for you and your family.