Cloud

Cloud Engineer Jobs

460 jobs found

Today

Senior Data Engineer - Technology

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

Today

Full time Senior Amazon Web Services AWS

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Job Description

Neptune Technology Group Inc. is seeking a Senior Data Engineer to own and modernize our data pipeline architecture. The role centers on migrating ETL workloads from Redshift stored procedures and legacy SSIS into scalable, maintainable pipelines built with AWS Glue and S3, while guiding the move toward near real-time analytics using stream processing technologies such as Apache Flink and ClickHouse.

This on-site position is based in Duluth, GA.

Responsibilities

Design and build modern ETL/ELT pipelines using AWS Glue, S3, and related services to replace legacy stored procedures and SSIS jobs.
Architect data transformation workflows that are testable, version-controlled, and observable.
Optimize and maintain the Redshift data warehouse, including materialized views, query performance, and cost efficiency.
Drive the evolution from batch ETL to near real-time stream processing, evaluating and implementing technologies such as Apache Flink, ClickHouse, Kafka, Kinesis, or equivalent platforms.
Design pipelines that support both near real-time and batch workloads as the platform transitions.
Partner with product and analytics teams to ensure data models support reporting, AI/ML, and customer-facing features.
Establish patterns and best practices for pipeline development that the broader team can adopt.
Participate in production support and incident response for data infrastructure.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Minimum of 5+ years in data engineering roles.
Deep experience with AWS Glue (PySpark/Python), S3, and Redshift.
Proven track record migrating ETL workloads from legacy tools (SSIS, stored procedures, or similar) to modern cloud-native pipelines.
Strong SQL skills with best practices and SQL linting, particularly in Redshift or other columnar/MPP databases.
Experience with or strong interest in stream processing frameworks (Flink, Spark Streaming, Kafka Streams, or similar).
Familiarity with data pipeline orchestration, monitoring, and error handling patterns.
Experience with infrastructure-as-code and CI/CD for data pipelines.

Technologies

Python
PySpark
SQL
AWS Glue
S3
Redshift
SSIS
Apache Flink
ClickHouse
Kafka
Kinesis
Apache Spark Streaming
Kafka Streams
Aurora MySQL
DynamoDB
Apache Druid
dbt
Airflow
Step Functions
MQTT

Location

Locations: Tallassee, Alabama or Duluth, Georgia. This is an onsite role in Duluth, GA, with travel to manufacturing or customer locations up to 20% as needed.

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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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Today

Lead AI Security Engineer

FM Johnston, RI

Johnston, RI

Today

$121k - $173k/yr Full time Agent Agentic Ai Ai Security

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Job Description

The Lead AI Security Engineer is a senior technical role focused on enabling secure AI adoption across FM. The position defines security requirements and implements controls for AI capabilities, partnering with platform, engineering, and product teams to operationalize AI security.

Responsibilities

Lead the definition, design, and implementation of security capabilities that enable secure enterprise AI adoption across platforms such as Microsoft Copilot, Claude, and agentic AI frameworks.
Define security and risk requirements for enterprise AI platforms and agent-based systems.
Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and enterprise requirements.
Partner with AI platform, engineering, and product teams to embed security requirements and controls into architecture, design, delivery, and operations.
Conduct security reviews and threat modeling for AI use cases, agent workflows, integrations, and platform capabilities to identify required controls before production deployment.
Define and guide implementation of controls related to AI agent identity, tool and API access, data usage constraints, auditability, and agent behavior in enterprise environments.
Lead evaluation, proof-of-concept, and selection of activities for native and third-party capabilities that support AI security, governance, and control objectives.
Assess integration requirements across enterprise identity, logging, monitoring, data protection, and security tooling.
Drive cross-functional implementation efforts involving security, platform, engineering, and product teams to operationalize AI security capabilities and supporting processes.
Maintain practical standards, guidance, and best practices for secure AI deployment, configuration, and ongoing platform administration.
Provide consultation and technical direction where security is not the system owner, ensuring effective security requirements are defined and applied.

Requirements

7+ years of experience in information technology or cybersecurity, including at least five years in security engineering or a related technical area such as cloud security, identity and access management, data protection, application security, security operations, vulnerability management, incident response, or platform security.
Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, identity systems, data protection, and monitoring.
Experience defining security requirements, standards, guardrails, or control frameworks in complex enterprise environments.
Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications.
Experience partnering with engineering and platform teams to integrate security into architecture, design, delivery pipelines, and operations.
Demonstrated ability to evaluate technologies and guide technical decision-making.
Experience operating in complex, cross-functional environments and driving initiatives from concept through implementation.
Familiarity with Azure-based platforms and services, including Azure AI Foundry or related capabilities, preferred.
Exposure to enterprise AI platforms such as Microsoft Copilot, Claude, or similar platforms, preferred.
Strong technical knowledge of cybersecurity principles, including identity and access management, data protection, monitoring, secure architecture design, and security operations.
Strong understanding of AI and LLM-related risks, including data exposure, prompt manipulation, unsafe tool use, misuse of agent capabilities, and auditability challenges.
Ability to develop security and risk requirements from ambiguous or emerging technology risks.
Ability to translate security requirements into practical engineering solutions, configurations, and implementation patterns.
Familiarity with industry frameworks and guidance such as NIST Risk Management Framework, MITRE ATLAS, OWASP Top 10, and OWASP guidance for large language model applications.
Strong analytical, problem-solving, and communication skills; ability to work independently and collaboratively across teams.

Technologies

Microsoft Copilot
Claude
Azure AI Foundry

Benefits

Incentive plan
Medical, dental and vision insurance
Life and disability insurance
Well-being programs
401(k) and pension plan
Career development opportunities
Tuition reimbursement
Flexible work
Time off (vacation and sick time)

Schedule & Location

This is an onsite position based at our corporate headquarters in Johnston, RI, with the flexibility to work from home two days per week, depending on business needs.

Relocation

Relocation is not offered for this position

Education and Certifications

Bachelor’s degree in information security, Computer Science, Information Technology, or related field (Equivalent experience may be considered)
Relevant certifications, such as CISSP, CISM, Security+, GIAC, or cloud security certifications, preferred

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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 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.