Cloud Infrastructure

Cloud Infrastructure Engineer Jobs

44 jobs found

Today

Enterprise Data & Platform Security Engineer

Excelon Solutions Tampa, FL

Tampa, FL

Today

$110k - $120k/yr Contract Active Directory Cloud Cloud Infrastructure

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Job Description

Excelon Solutions offers an onsite contract-to-hire opportunity in Tampa, Florida for an Enterprise Data and Platform Security Engineer. The role provides a competitive salary range of $110,000 to $120,000 per year, plus benefits, and requires a Bachelor's degree. This lead position focuses on safeguarding sensitive data across endpoints, networks, cloud services, and enterprise platforms while shaping security engineering capabilities across cloud infrastructure, identity systems, data services, Kubernetes and container platforms, CI/CD pipelines, secrets management, and platform observability.

Responsibilities

Design, implement, and operate data protection controls to safeguard sensitive information across endpoints, networks, cloud services, and enterprise platforms.
Collaborate with security, infrastructure, application, legal, privacy, and business teams to reduce the risk of data loss.
Improve governance and support regulatory compliance efforts.
Strengthen the organization's overall security posture.
Build and scale security engineering capabilities across cloud infrastructure, identity systems, data services, Kubernetes and container platforms, CI/CD pipelines, secrets management, and platform observability.

Requirements

Deep understanding of cybersecurity principles (confidentiality, integrity, availability, least privilege, defense in depth), data protection, networks, operating systems, cloud fundamentals, and common threat vectors affecting enterprise IT.
Familiarity with enterprise environments, ticketing systems, and documentation practices.
Strong experience with SIEM, DLP, or endpoint monitoring tools, with the ability to navigate dashboards and review complex security alerts.
Ability to interpret logs from systems such as Active Directory, VPN, endpoints, and cloud platforms to identify anomalous activity.
Capacity to independently investigate complex incidents, build timelines, gather evidence, and document findings.
Ability to translate complex technical findings into clear, actionable insights for leadership, including executive briefings, risk summaries, and program recommendations.
Proven capability to manage multiple alerts or tasks simultaneously, prioritize by risk, and meet deadlines in a fast-paced environment.

Technologies

SIEM
DLP
Active Directory
VPN
Kubernetes
Container platforms
Cloud platforms

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Today

AWS AI Engineer

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Artificial Intelligence Automation

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Job Description

The role is for a senior AWS AI Engineer at Hudson Manpower, based in Sunnyvale, California with remote working options. The position centers on developing cloud-native AI/ML applications, with a focus on retrieval-augmented generation, fine-tuning large language models, and deploying AWS-based microservices for an enterprise production environment.

Responsibilities

Hands-on development with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to build and operate AI/ML workloads.
Lead the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities.
Work with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate strong verbal and written communication skills in English.

Requirements

Minimum of 7 years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, particularly Bedrock or SageMaker.
Familiarity with fine-tuning large language models and deploying ML models to production, including dataset creation.
Proven experience with AWS Organizations and policy guardrails such as SCP and AWS Config.
Solid background in implementing Retrieval-Augmented Generation (RAG) architectures and LangChain.
Proficiency in Infrastructure as Code practices and building Terraform modules for AWS cloud environments.
Strong background in Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with integrated release pipelines.

Technologies

AWS Bedrock
AWS SageMaker
AWS Lambda
AWS Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Git
Python
Golang
Node.js
Hugging Face
AWS Organizations
AWS Config
SCP

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance offering
Eligibility for referral bonuses

Supervisory Responsibilities

None

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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. offers a benefits-forward environment for engineers who want to shape AI agentic development and scale a modern travel platform from Scottsdale, AZ on site. The role emphasizes technical direction, system architecture, and elevated engineering standards across multiple teams, with a focus on collaboration and impactful delivery.

Benefits

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

Responsibilities

Architect the platform: lead design and development of features and services for the travel platform on a full‑stack product team as a technical leader.
Drive agentic adoption: standardize agentic coding tools across engineering teams by establishing best practices, prompt libraries, and workflows that boost productivity org-wide.
Set the quality bar: review AI generated code for correctness, security, performance, and maintainability to set the standard across teams.
Modernize at scale: rejuvenate aging services through refactoring, migrations, and cloud-native distributed design.
Strategize agentic workflows: define patterns and platforms that automate testing, documentation, code review triage, and deployment checks at scale.
Architect MCP integrations: design Model Context Protocol integrations that connect AI agents to internal tools, data, and platform services across the development lifecycle.
Lead distributed systems: drive improvements to the development and operations of a increasingly distributed architecture across cloud platforms.
Protect member trust: safeguard the privacy and security of members' sensitive data in collaboration with Risk and Security teams.
Increase velocity: introduce processes that enable faster shipping, quicker learning, and clearer impact isolation, while helping establish and meet system SLOs.
Mentor across teams: guide 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.
A 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.
A history of leading technical designs, mentoring engineers across teams, and raising 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)

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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

Senior Vice President level Machine Learning Engineer focused on designing, building, and deploying AI powered document digitization solutions using large language models to transform document processing and governance.

Responsibilities

Lead end-to-end design, development, and integration of AI powered document digitization solutions to extract data and insights from diverse document formats.
Manage the full AI/ML lifecycle: training, validation, deployment, monitoring, and ongoing improvements in production environments.
Apply generative AI and LLMs to automate and optimize document workflows.
Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.
Provision and manage cloud resources with infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).
Ensure scalability, reliability, security, and governance compliance of AI/ML solutions.
Collaborate with cross functional teams to reimagine legacy document processing with 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 across AI/ML, software engineering, and testing.
Conduct model validation, human in the loop review, and implement continuous improvement strategies for digitization accuracy.
Contribute to communities of practice and explore new and emerging technologies.

Requirements

Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.
Strong proficiency in Python for building production grade AI services and data/document pipelines.
Strong working proficiency in Java, including API and microservice development with Spring Boot; familiarity with front end technologies (React.js, AngularJS) is a plus.
Hands-on experience delivering LLM powered GenAI applications in production (document understanding, retrieval augmented generation, workflow automation), including evaluation, observability, guardrails, and continuous improvement.
Experience with MLOps / LLMOps practices in production (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 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/agent frameworks to accelerate document digitization workflows.
Strong understanding of SDLC, CI/CD, resiliency, and security practices; proven problem solving, communication, and collaboration skills.
Proven ability to accelerate development using AI technologies while maintaining engineering rigor (testing, code quality, governance).

Technologies

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

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

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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Today

SW Cyber Security Engineer

Glint Tech Solutions LLC Reston, VA

Reston, VA

Today

Full time Application Security Cloud Cloud Infrastructure

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Job Description

Glint Tech Solutions is a women owned global staffing and IT recruiting firm that connects top technical talent with leading enterprise clients across the United States. This mid level software cyber security engineer role offers a hybrid work arrangement in the DC metro area, with monthly onsite days in Reston, Virginia. The position supports a leading healthcare payer and focuses on application security testing and AWS cloud vulnerability management.

Located in Reston, VA, this role combines hands on security engineering with collaboration across development and security teams, advancing secure SDLC practices and DevSecOps within a Java and AWS environment.

What you will do

Conduct application security testing in a Java and AWS setup using tools such as Checkmarx, Contrast Security, TideLift, Burp Suite, OWASP Dependency Check, or Fortify.
Help implement secure SDLC, DevSecOps practices, and automate security within CI/CD pipelines.
Identify, triage, validate, and prioritize remediation activities using a risk based approach.
Harden AWS cloud environments and support container security across Kubernetes, Helm, and Docker.
Integrate security automation and metrics reporting with Jira, ServiceNow, or other risk management platforms.
Collaborate across CI/CD and source code management tools including Bitbucket, GitLab, GitHub, and Jenkins.

What you will need

Hands on experience with application security, secure SDLC, and DevSecOps practices.
Proficiency in Java, JavaScript, or Python with a focus on secure coding and vulnerability management.
Solid understanding of Linux and Windows operating systems and networking fundamentals.
Experience with container security involving Kubernetes, Helm, and Docker.
Direct experience with AWS cloud security.
Familiarity with application security testing tools such as Checkmarx, Contrast Security, TideLift, Burp Suite, OWASP Dependency Check, or Fortify.
Experience with CI/CD and source control platforms such as Bitbucket, GitLab, GitHub, and Jenkins.
Experience integrating security tooling with Jira, ServiceNow, or similar platforms.

Nice to have

OSCP or CEH certification preferred.
Background in healthcare or other regulated industries.

Technologies

Checkmarx, Contrast Security, TideLift, Burp Suite, OWASP Dependency Check, Fortify
Java, JavaScript, Python
Linux, Windows
Kubernetes, Helm, Docker
AWS
Jira, ServiceNow
Bitbucket, GitLab, GitHub, Jenkins

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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

Benefits and Culture

Well being and health support for employees, prioritizing balance and flexibility
Meaningful opportunities to drive social impact through technical work
Focus on developing talent and building strong, connected teams across the organization

Location: Chicago, IL, hybrid work arrangement. Compensation: USD 174,000 - 238,700 per year.

Responsibilities

Spearhead the architectural evolution of the data platform, defining the roadmap for its future state
Shape and guide a technical strategy for large scale platform improvements, balancing long term goals with incremental delivery
Collaborate with engineers and leaders across data, platform, and security teams to forge a unified, secure architecture
Produce architectural artifacts such as design documents, threat models, and technical specifications to align stakeholders on complex initiatives
Serve as a technical mentor to the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices
Build foundational components of the new architecture by hands-on coding to model patterns others can follow

Requirements

Commitment to building secure, reliable, and scalable data systems
8+ years in software development, with at least 5+ years in data engineering or data platform roles
Proven track record delivering large-scale, cross-functional technical programs
Extensive experience designing and deploying data infrastructure in a cloud environment, with AWS strongly preferred
In-depth knowledge of the modern data stack including Snowflake, dbt, and Airflow
Strong proficiency in Python and SQL, with emphasis on code quality and system design
Excellent communication skills enabling clarity and informed decisions on complex technical topics
Ability to navigate ambiguity, chart a path forward, and lead others to successful outcomes

Technologies

Snowflake
dbt
Airflow
Python
SQL
AWS
Terraform
Kubernetes

About the Auth0 Data Engineering Team

Pipeline team focuses on efficient data ingestion and rapid access to unmodeled data, operating near the Platform team and data producers
Warehouse team models data in the data warehouse to simplify analysis for data consumers, supporting business teams and decision-making
Interface team builds and manages connections between the data platform and external systems, ensuring consistent, reliable data access

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1d ago

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

Deloitte Atlanta, GA

Atlanta, GA

1d ago

Full time Agentic Ai Artificial Intelligence Authentication

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Job Description

Deloitte seeks a Delivery Senior Consultant focused on Identity and Gen AI engineering to design, implement, and secure AI solutions with robust identity, access, and trust controls across both human and non-human identities and GenAI platforms. The role combines hands-on software engineering, system integration, and ongoing enhancement of AI capabilities.

Location

Atlanta, GA, hybrid

Responsibilities

Build and integrate generative AI solutions, including large language model applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.
Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.
Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.
Implement logging, monitoring, and governance that 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 operations.
Create and maintain reference architectures, reusable patterns, and 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 5 days a week.
3+ years of software engineering experience with Python or a comparable language.
1+ 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 AI development tools such as 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 JSON Web Token.
Ability to travel 15 percent on average based on the work and client engagement.
Ability 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 Center location and travel: reside within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) or Geo-Hub locations (Atlanta, Charlotte, Dallas, Houston, and Philadelphia).
Co-location: spend up to 30 percent of working time co-located at an assigned office for opportunities such as projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location.
Travel requirement: up to 10 percent overnight travel for client or project purposes.
Relocation: if relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance.