Cloud Infrastructure

Cloud Infrastructure Developer Jobs

26 jobs found

Today

Senior Agentic Software Engineer

Arrivia, Inc. Scottsdale, AZ

Scottsdale, AZ

Today

Full time Backend Developer Senior Agentic Ai

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Job Description

Arrivia, Inc. is seeking a Senior Agentic Software Engineer to steer the technical direction of AI agentic development across its travel platform. This onsite role in Scottsdale, AZ places you on the front lines of architecture and engineering practice, raising standards across multiple product teams while promoting responsible AI tooling.

Responsibilities

Architect and drive the platform's design and implementation for features and services on a full-stack product team, serving as a technical leader for the travel platform.
Drive agentic adoption by standardizing AI agent coding tools across engineering groups and establishing best practices, prompt libraries, and workflows to boost productivity across the organization.
Set the quality bar by reviewing and validating AI-generated code for correctness, security, performance, and maintainability to elevate standards across teams.
Modernize at scale by revitalizing aging services through refactoring, migration, and cloud-native distributed design.
Strategize agentic workflows by defining scalable patterns and platforms that automate testing, documentation, code-review triage, and deployment checks.
Architect MCP integrations to connect AI agents with internal tools, data, and platform services throughout the development lifecycle.
Lead distributed systems initiatives, improving development and operations across cloud platforms within a distributed architecture.
Protect member trust by collaborating with Risk and Security teams to safeguard privacy and sensitive data.
Increase velocity by introducing processes that accelerate shipping, enable faster learning, and isolate impact, while helping establish and meet system SLOs.
Mentor across teams by guiding engineers in AI-assisted development, prompt engineering, and agentic workflow design.

Requirements

8+ years of full-stack development and architectural experience building web applications and services.
Expert proficiency using AI coding agents such as Claude Code, Cursor, or GitHub Copilot in professional workflows.
Strong proficiency in two or more of TypeScript/JavaScript, Python, or C#/.NET.
Deep experience with modern frontend frameworks such as React, Next.js, Vue, or Angular.
Proven track record architecting and delivering cloud-native solutions on AWS, Azure, or GCP.
Extensive experience with RESTful API design and microservices architecture.
Deep understanding of the Model Context Protocol (MCP) and experience architecting MCP server ecosystems.
Experience with containerization and orchestration (Docker, Kubernetes) and CI/CD pipelines.
Demonstrated ability to lead technical designs, mentor engineers across teams, and raise engineering maturity.
A formal CS degree is a plus, not a requirement; depth of engineering knowledge matters most.

Technologies

Claude Code
Cursor
GitHub Copilot
TypeScript
JavaScript
Python
C#/.NET
React
Next.js
Vue
Angular
AWS
Azure
GCP
RESTful API
Docker
Kubernetes
CI/CD
Model Context Protocol (MCP)

Benefits

Unlimited PTO
Exclusive employee travel rates
Travel discounts through arrivia programs
Medical, dental, and vision insurance
401(k) with company participation

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Today

Machine Learning Engineer - Document Digitization (LLMs)-Vice President

JPMorganChase Jersey City, NJ

Jersey City, NJ

Today

$164k - $260k/yr Full time Ai Ml Amazon Eks Artificial Intelligence

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Job Description

Join JPMorgan Chase in Jersey City, onsite, as a Senior Vice President level Machine Learning Engineer focused on designing, developing, and deploying AI powered document digitization solutions that leverage large language models. You will lead cross functional collaboration, mentor engineers, and drive scalable AI/ML platforms with governance in mind. This role offers a competitive compensation package including a base salary in the USD 164,350 to 260,000 per year range, as well as equity-based incentives and a comprehensive benefits program.

Benefits

Equity/stock-based compensation
Competitive base salary
Commission-based pay and/or discretionary incentive compensation
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Responsibilities

Lead the design, development, and integration of AI powered document digitization solutions, focusing on extracting information and insights from diverse document types.
Oversee the full AI/ML lifecycle from training and validation to deployment, monitoring, and ongoing production improvements.
Utilize generative AI and large language models to automate and optimize document workflows.
Build and maintain scalable digitization pipelines using Python, AI frameworks, and cloud technologies.
Provision and manage cloud resources with infrastructure as code tools such as Terraform and AWS services including SageMaker and Bedrock.
Ensure scalability, reliability, security, and compliance of AI/ML solutions, following best practices and governance standards.
Collaborate with cross functional teams to reimagine legacy document processing systems using generative AI and LLMs.
Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.
Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.
Conduct model validation, human in the loop reviews, and implement continuous improvement strategies for digitization accuracy.
Contribute to communities of practice and explore new and emerging technologies.
Technologies you will work with: Python, Terraform, AWS SageMaker, AWS Bedrock, Docker, Kubernetes, Amazon EKS, Java, Spring Boot, React.js, AngularJS, TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning, MongoDB Atlas, Elasticsearch/OpenSearch, Neo4j, LLMs.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field, with relevant industry experience.
Strong Python proficiency for building production-grade AI services and data/document pipelines.
Solid Java experience, including API and microservice development with Spring Boot; familiarity with front-end tech (React.js, AngularJS) is a plus.
Hands-on experience delivering LLM powered or GenAI applications in production, including evaluation, observability, guardrails, and continuous improvement for use cases like document understanding and workflow automation.
Experience with MLOps / LLMOps practices in production environments (CI/CD, automated testing, deployment strategies, monitoring, incident response).
Working knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning) with emphasis on integrating models and services into scalable systems.
Experience with AWS and cloud-native delivery, including SageMaker and/or Bedrock, containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
Familiarity with NoSQL / search / graph technologies (MongoDB Atlas, Elasticsearch/OpenSearch, Neo4j) for document search and knowledge retrieval.
Experience with agentic coding approaches, autonomous/assisted code agents, orchestration patterns, and tool-use frameworks to accelerate document digitization workflows.
Strong understanding of SDLC, CI/CD, resiliency, and security practices; proven problem solving and collaborative communication skills.
Proven ability to drive development with AI technologies while maintaining rigorous engineering standards, including testing, code quality, and governance.

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Today

Staff Data Engineer

Okta Chicago, IL

Chicago, IL

Today

$174k - $239k/yr Full time Senior Apache Airflow Cloud

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Job Description

Okta offers a hybrid Chicago role with an impact driven data platform. You will lead strategic platform initiatives within the Auth0 Data Engineering Team, starting with FEDRamp compliance, and shape the architectural evolution of a secure, scalable data foundation across multiple teams. The position offers a salary range of USD 174,000 to 238,700 per year and requires at least 8 years of software development experience, including substantial data engineering work.

What you will do

Own the architecture and evolution of the data platform, defining the long term roadmap and future state.
Set the technical strategy for large scale platform enhancements, balancing ambitious goals with incremental delivery.
Partner with engineers and leaders from data, platform, and security groups to deliver a unified and secure architecture.
Create architectural artifacts such as design documents, threat models, and technical specifications to clarify and align complex initiatives.
Mentor the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices.
Implement foundational components of the new architecture with hands on coding, providing a practical model for others to follow.

What we’re looking for

A passion for building secure, reliable, and scalable data systems.
8+ years of software development experience, with at least 5+ years in a data engineering or data platform role.
Proven track record delivering large scale, cross functional technical projects.
Extensive experience architecting and deploying data infrastructure in a cloud environment, with AWS strongly preferred.
Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
Strong proficiency in Python and SQL, with a high standard for code quality and system design.
Excellent communication skills, capable of creating clarity and driving decisions on complex technical topics.
Ability to navigate ambiguity, define a path forward, and lead others to successful outcomes.

Technologies

Snowflake
dbt
Airflow
Python
SQL
AWS
Terraform
Kubernetes

Benefits

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

The Auth0 Data Engineering Team

Pipeline team, located near the Platform team and data producers, responsible for efficient data ingestion and providing quick access to unmodeled data.
Warehouse team, aligned with business teams and data consumers, modeling the data in the data warehouse to abstract complexity for analysis, reporting, and decision making.
Interface team, creating and managing connections between the data platform and external systems to ensure consistent and reliable data access.

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Today

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

Deloitte Atlanta, GA

Atlanta, GA

Today

Full time Agentic Ai Artificial Intelligence Authentication

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Job Description

Deloitte is seeking a Delivery Senior Consultant to drive Identity and Gen AI engineering initiatives, building and securing AI solutions that enforce identity, access, and trust across both human and non-human identities and GenAI platforms. This hands-on role blends active engineering, system integration, and ongoing refinement to help clients deploy responsible AI at scale.

Responsibilities

Design, build, and integrate generative AI capabilities such as large language model applications, retrieval-augmented generation, and AI agents, ensuring secure data access and seamless connectivity to downstream systems.
Implement authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating within enterprise and cloud environments.
Establish guardrails for agentic workflows, applying scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.
Set up comprehensive logging, monitoring, and governance to provide traceability and accountability for AI system actions.
Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and day-to-day operations.
Create and maintain reference architectures, reusable patterns, and thorough technical documentation for building and securing AI systems.

Requirements

Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related technical field.
Ability to work onsite up to five days per week.
At least 3 years of software engineering experience with Python or an equivalent language.
Over one year of hands-on experience building, integrating, or deploying generative AI solutions such as LLM applications, retrieval-augmented generation, or AI agents, including use of model APIs, orchestration frameworks, and tools like Claude Code, OpenAI Codex, GitHub Copilot, or Cursor.
Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on, and standards such as OpenID Connect, SAML, OAuth, and JWT.
Ability to travel about 15 percent on average, depending on client engagements and project needs.
Eligibility to obtain and maintain the necessary security clearance.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or in the future.
Hybrid delivery model requiring residence within a commutable distance to a Deloitte Delivery Center or Geo-Hub location in the United States (examples include Gilbert, Lake Mary, Mechanicsburg, Atlanta, Charlotte, Dallas, Houston, and Philadelphia).
Co-location expectation up to 30 percent of working time for orchestrated opportunities, including projects, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project site.
Maximum of 10 percent overnight travel for client or project purposes.
If relocation is necessary, the move must be completed within 12 weeks from the start date to reside within a commutable distance.

Technologies

Python
Claude Code, OpenAI Codex
GitHub Copilot, Cursor
LangChain, LangGraph
Model Context Protocol, Open Policy Agent
Cedar, OpenFGA
HashiCorp Vault, CyberArk, SailPoint, Okta, Microsoft Entra ID
AWS, Microsoft Azure
Terraform, Ansible
OpenID Connect, SAML, OAuth, JWT

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1d ago

Data Engineer II (AWS, Python, SQL)

Travelers Hartford, CT

Hartford, CT

1d ago

$127k - $209k/yr Full time Actuarial Automation CI/CD

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Job Description

Travelers is strengthening its data-driven approach to pricing for Property and General Liability lines. In the Data Engineer II role, you will design and maintain production-grade data pipelines and assets in collaboration with actuarial and data science partners, turning analytical concepts into scalable solutions powered by AWS, Python, and SQL. This onsite position in Hartford, CT centers on delivering end-to-end data infrastructure that informs pricing decisions and modernization efforts.

Responsibilities

Own and deliver data pipeline development and ongoing support for Property and GL pricing use cases
Lead model implementation for Property and GL pricing models in partnership with Data Science and Actuarial teams
Build and serve as the GL data subject matter expert to support benchmarks, modernization initiatives, and future enhancements
Provide project leadership, planning, and execution across Property and GL data engineering initiatives
Execute complex data preparation activities, including exploration, cleansing, and transformation, with awareness of enterprise architecture, platforms, and downstream consumption patterns
Translate actuarial and data science requirements into scalable, production-ready data solutions
Adopt and embed MLOps practices across the model development and implementation lifecycle
Establish data quality controls, profiling, and monitoring for model implementation and ongoing performance
Present analysis and technical recommendations to influence data architecture and implementation decisions
Provide technical leadership through code reviews, design guidance, and mentoring within the team
Apply agile methodologies to plan, prioritize, and deliver work across concurrent initiatives
Perform other duties as assigned

Requirements

Bachelor’s degree in a STEM field or equivalent
Eight years of related experience
Cloud platforms (preferably AWS) and model implementation in the cloud
Programming in Python and SQL
Working with data engineering concepts and building/maintaining data pipelines
AI-native solutions and modern software engineering practices (e.g., APIs, microservices, test automation)
Breaks work into small, releasable increments
Delivers complete, robust solutions while effectively managing tradeoffs
Strong understanding of relevant technical concepts and industry trends
In-depth knowledge of the systems you’ve worked on and familiarity with adjacent systems
Strong problem-solving skills with a focus on building resilient, long-lived systems and finding innovative ways to resolve issues
Excellent written and verbal communication skills, with the ability to collaborate effectively with engineers, product partners, and business stakeholders
Proven experience leading or mentoring other engineers and helping to create a safe, inclusive environment where others can learn and grow
Self-motivated, with a track record of proactively identifying opportunities, driving improvements, and following through on team efforts

Technologies

AWS
Python
SQL
Terraform
CI/CD

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

Location

Hartford, CT (onsite)

Compensation

Salary range: USD 126,500 - 208,700 per year

About Travelers

Taking care of our customers, our communities and each other. That is the Travelers Promise. This commitment has helped Travelers earn recognition as a leading property and casualty insurer for more than 170 years. The culture emphasizes innovation and collaboration, offering a place where professionals can grow and do meaningful work.

Employment practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings, recognizing that diverse perspectives strengthen the organization.

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1d ago

Software Engineer II

Hudson Manpower Cincinnati, OH

Cincinnati, OH

1d ago

Full time Backend Developer Automation Cloud Infrastructure

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Job Description

Software Engineer II role based in Cincinnati, onsite, focused on end-to-end application development using React, Java with Spring Boot, SQL, and Terraform, with emphasis on design, testing, integration, and evaluating new technologies.

Responsibilities

Lead full lifecycle development of software applications, from planning through deployment and ongoing maintenance.
Design, implement, and debug applications across stacks, including React on the front end, Spring Boot with Java on the back end, SQL databases, and infrastructure as code with Terraform.
Perform software analysis activities such as requirements analysis, code metrics assessment, system risk evaluation, and reliability analysis.
Apply object oriented design and analysis techniques to create robust, reusable software components.
Model and simulate software behavior to validate designs and performance.
Develop and refine front end user interfaces with emphasis on usability and visual quality.
Carry out software testing and quality assurance to ensure reliable, high quality code.
Tune performance, improve efficiency, and automate processes to enhance overall system responsiveness.
Support, maintain, and document software functionality to facilitate long term maintenance.
Integrate new software with existing systems and data flows.
Evaluate and identify new technologies and approaches for potential adoption.
Maintain adherence to coding standards and development guidelines.
Implement localization and globalization to support multi language and regional needs.

Requirements

Experience in application development as a Software Engineer or similar role.
Proficiency with AWS services including Lambda and Terraform.
Strong Java programming skills.
JavaScript proficiency for modern web development.
Experience designing RESTful APIs.
Familiarity with the Spring Boot framework.

Education

Undergraduate degree in computer engineering, computer science, information technology, or a related discipline.

Technologies

AWS
Lambda
Terraform
Java
JavaScript
Spring Boot
React
SQL

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
You’ll be eligible to earn referral bonuses

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2d ago

Principal Software Engineer- Telemetry/Observability

JPMorganChase Seattle, WA

Seattle, WA

2d ago

$204k - $285k/yr Full time Analytics Business Intelligence Cloud

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Job Description

JPMorganChase seeks a Principal Software Engineer focused on observability and telemetry platforms within the Core Foundational Platforms group. Based in Seattle, WA onsite, this role designs end-to-end telemetry pipelines, builds platform services, and guides observability strategy across VPC and cloud networking environments, with a salary range of USD 204,250 to 285,000 per year and a requirement of 10+ years of software engineering experience.

Responsibilities

Designs scalable software frameworks and platform services for observability within VPC environments, applying robust software design patterns.
Delivers secure, production-grade code and conducts reviews and debugging across telemetry collection, enrichment, storage, and visualization components.
Leads end-to-end telemetry pipelines covering metrics, logs, traces, and events, establishing standards, schemas, and instrumentation patterns for platform and application teams.
Develops and evolves CI/CD pipelines to enable reliable delivery, automated testing, policy as code, and safe progressive rollouts for observability services.
Architects solutions for software-defined networking and cloud networking environments, including troubleshooting across layered network paths and dependencies.
Builds and maintains monitoring, alerting, and SLO/SLI practices using tools like Splunk, Grafana, and Prometheus, including dashboards, alerts, and runbooks.
Advises cross-functional teams on telemetry strategy, platform integrations, and readiness for operations.
Acts as the function's subject matter expert for observability and telemetry across the VPC platform, guiding standards and best practices.
Creates durable, reusable software frameworks used across teams, such as SDKs, libraries, templates, reference architectures, and golden paths.
Informs senior stakeholders by communicating tradeoffs, risk, and roadmaps for platform reliability and resiliency.
Champions diversity, opportunity, inclusion, and respect within the firm.

Requirements

10+ years of software engineering experience, including building and operating production platform services.
Hands-on involvement in system design, application development, testing, and operational stability, ideally for platform, infrastructure, or developer productivity products.
Expert Python development experience, building services, automation, tooling, and integrations for telemetry and operations workflows.
Strong Linux systems and networking expertise (TCP/IP, DNS, TLS, routing, NAT, packet capture), with the ability to diagnose cross-system issues in distributed environments.
Practical experience with CI/CD and modern delivery practices (progressive delivery, automated quality gates, artifact/version management).
Advanced knowledge of software development processes with in-depth expertise in cloud platforms, platform engineering, reliability engineering, networking, or observability.
Experience with observability tooling such as Splunk, Grafana, or Prometheus, including instrumentation, queries, dashboards, alerts, and operationalization.
Experience designing or operating telemetry data pipelines (collection agents, exporters, scraping, indexing, retention, cardinality management, performance and cost controls).
Proven ability to apply expertise and new methods to solve complex technology problems across multiple disciplines.
Working knowledge of software-defined networking concepts and environments, including integrations and operational considerations for VPC-like network platforms.

Technologies

Python
Splunk
Grafana
Prometheus
OpenTelemetry
Terraform

Benefits

Salary: USD 204,250 - 285,000 per year, base determined by role, experience, skill set and location.
Commission-based pay
Discretionary incentive compensation in cash and/or forfeitable equity
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare support
Tuition reimbursement
Mental health support
Financial coaching