Cloud Infrastructure

Cloud Infrastructure Developer Jobs

109 jobs found

9d ago

Technology Lead Python Data Engineer - Vice President

Citi Rutherford, NJ

Rutherford, NJ

9d ago

$142k - $213k/yr Full time Backend Developer Manager Python

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Job Description

The Technology Lead Python Data Engineer role at Citi focuses on building modern, scalable Python-based platforms that support credit risk management. This position blends hands-on engineering with system architecture, technical leadership, and AI-enabled innovation, with an emphasis on microservices, cloud-native design, and enterprise governance.

Location and Employment Details

Location: Rutherford, NJ, United States (onsite)
Time type: Full time
Primary location: Rutherford New Jersey, United States
Job family group: Technology
Job family: Applications Development
Salary range: USD 142,320 - 213,480 per yearly
Anticipated posting close date: Sep 04, 2026

Role Summary

As a Technology Lead Python Data Engineer, you will lead the design and development of platforms for credit risk analytics, workflows, and reporting. The role requires architecture and delivery of Python-based applications, collaboration with risk and product stakeholders, and technical leadership across engineering standards and microservices design.

Responsibilities

Architect, design, and deliver scalable, Python-based applications supporting credit risk analytics, workflows, and reporting.
Partner with risk, product, and technology leadership to integrate platforms, identify enhancements, and enable new products and process improvements.
Resolve high-impact, complex initiatives using deep analysis of business processes, system flows, and industry standards.
Ensure solutions align with enterprise architecture, data, security, and infrastructure blueprints.
Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness.
Design and evolve microservices-based architectures with scalability, resiliency, observability, and maintainability in mind.
Apply AI and GenAI capabilities to modernize workflows, automate analysis, and surface new credit risk insights.
Act as a technical leader and mentor, coaching mid-level engineers and analysts and allocating work as needed.
Use sound risk and control judgment to meet compliance expectations with laws, regulations, and policies while safeguarding clients, data, and the firm.

Required Experience and Qualifications

Experience: 6+ years in application development or systems engineering within complex environments.
Advanced proficiency in Python and SQL, with strong software engineering fundamentals.
Hands-on experience building API-driven services using FastAPI, Pydantic, and/or Django.
Proven expertise designing and implementing microservices architectures, including service decomposition, inter-service communication, resiliency patterns, and observability.
Strong experience with Docker and Kubernetes, deploying and operating containerized services in production.
Deep understanding of system architecture, data flows, and distributed systems.
Experience working in Linux, including shell scripting and operational troubleshooting.
Track record implementing unit testing, TDD, and automated quality controls.
Subject Matter Expert (SME) in at least one application, platform, or service domain.
Working knowledge of large language models (LLMs) and modern AI platforms from leading providers such as OpenAI, Anthropic, Google, and Meta.
Experience designing or contributing to LLM-enabled solutions (e.g., copilots, workflow automation, analytics augmentation).
Familiarity with prompt engineering, model integration patterns, and AI governance considerations in enterprise environments.
Exposure to AI-assisted “vibe coding” practices using AI tooling to accelerate development and experimentation while maintaining engineering rigor.

Education

Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field.

Technology Focus

Python, SQL
FastAPI, Pydantic, Django
Microservices
Docker, Kubernetes
Linux, shell scripting
Unit testing, TDD
LLMs, OpenAI, Anthropic, Google, Meta, prompt engineering

Additional Skills / Bonus Differentiators

Experience with distributed data and compute platforms (e.g., Spark, PySpark, Hadoop, Hive).
Hands-on experience with graph databases, particularly Neo4j, for network, relationship, or dependency-driven use cases.
Background in credit risk, financial risk management, or banking platforms.
Experience modernizing or decomposing legacy monolithic systems in large enterprises.
Proven delivery of GenAI / AI-driven solutions in regulated or large-scale environments.

Benefits

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Planned time off (vacation)
Unplanned time off (sick leave)
Paid holidays
Discretionary and formulaic incentive and retention awards (for eligible employees)

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9d ago

Site Reliability Data Engineer

Leidos San Diego, CA

San Diego, CA

9d ago

$87k - $157k/yr Full time Ansible Business Intelligence Cloud Infrastructure

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Job Description

Leidos is seeking a Site Reliability Data Engineer to support the SMIT program for the Navy. The role focuses on building and operating secure enterprise data solutions along with automated testing frameworks that validate resilience, performance, and failure scenarios. You will work across hybrid cloud and on-premises environments and help meet SLOs for mission-critical services.

What you’ll do

Design, develop, test, deploy, and maintain scalable ETL/ELT pipelines that collect, transform, validate, and deliver structured and unstructured data from enterprise systems, applications, APIs, logs, files, and databases.
Build and optimize data models, schemas, tables, views, and curated datasets to support analytics, business intelligence, operational reporting, and downstream application needs.
Develop data-processing solutions using SQL, Python, and other approved technologies, applying reusable engineering patterns, source control, peer review, and documented release practices.
Integrate cloud and on-premises data platforms while supporting secure data movement, interoperability, availability, retention, and performance across hybrid enterprise environments.
Implement automated data-quality checks, reconciliation controls, monitoring, alerting, and exception handling to identify incomplete, inaccurate, duplicated, delayed, or failed data flows.
Troubleshoot pipeline failures, data discrepancies, performance degradation, access issues, and integration defects, performing root-cause analysis and corrective and preventive actions.
Collaborate with analysts, business intelligence developers, data owners, system administrators, and mission stakeholders to define data requirements, source-to-target mappings, transformation rules, service expectations, and acceptance criteria.
Apply data governance, security, privacy, least-privilege access, auditability, and records-retention requirements across the data lifecycle in coordination with cybersecurity and compliance teams.
Support platform upgrades, data migrations, modernization efforts, capacity planning, and performance tuning while minimizing disruption to production services.
Create and maintain technical documentation, including architecture diagrams, data dictionaries, lineage documentation, interface specifications, runbooks, standard operating procedures, and troubleshooting guides.
Participate in Agile planning, backlog refinement, technical reviews, demonstrations, incident response, and after-hours support when required to sustain mission-critical services.
Develop and execute tests focused on system resilience, performance underload, and failure scenarios.
Work with other Site Reliability Engineers and development teams to create automated testing frameworks that simulate real-world conditions and validate system behavior under normal and stress conditions to ensure resilient services and alignment with established SLOs.
Support the operations and maintenance of the enterprise network.

Required qualifications

B.S. Degree and 4–8 years of prior relevant experience, or Master’s with 2–6 years of prior relevant experience in data engineering, computer science, information systems, software engineering, mathematics, or a related technical discipline (at least four years of relevant experience; additional directly related experience may be considered in place of a degree).
U.S. citizenship and an active DoD Secret Security Clearance.
Must possess and maintain an IAT Level II certification that satisfies applicable DoD cybersecurity workforce requirements.
Must be located in (or able to work onsite at Navy Base as required) San Diego, California; the Hampton Roads, Virginia area; or Jacksonville, FL.
At least three years of hands-on experience developing, operating, or supporting production data pipelines, data integrations, data warehouses, data lakes, or comparable enterprise data solutions.
Proficiency with SQL and at least one general-purpose scripting/programming language such as Python for data extraction, transformation, validation, automation, and troubleshooting.
Experience with ETL/ELT, relational data structures, data modeling, schema design, source-to-target mapping, data quality, metadata, and lifecycle management.
Experience integrating data from multiple source types including relational databases, APIs, flat files, application data, system logs, or message-based interfaces.
Working knowledge of cloud and on-premises infrastructure concepts including authentication and authorization, network connectivity, encryption, secure file transfer, and service accounts as they relate to data engineering.
Ability to diagnose production data issues, analyze logs and metrics, resolve failed jobs or performance problems, and document root cause and corrective action.
Capability to work independently and collaboratively in a high-tempo operational environment, manage competing priorities, communicate clearly, and produce complete technical documentation.
Working knowledge of PowerShell, Python, and Ansible, with practical familiarity using LLMs and AI-enabled tools.

Technologies

SQL, Python, PowerShell, Ansible, LLMs, AI-enabled tools, ETL, ELT, Agile/DevOps

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

Nice to have

Business intelligence experience including dashboards, reports, semantic models, KPIs, and self-service analytics solutions, with Microsoft Power BI and DAX knowledge highly desirable.
Microsoft Certified: Azure Administrator Associate (AZ-104).
Hands-on experience with Azure data and analytics services such as Azure Data Factory, Azure SQL, Azure Storage, Synapse Analytics, Databricks, or comparable cloud data platforms.
Familiarity with STIGs, RMF, vulnerability management, system hardening, security controls, and applicable compliance frameworks.
Experience with automation, configuration-management, source-control, or CI/CD tools such as Ansible, Jenkins, and Bitbucket.
Experience designing or supporting data solutions in classified, DoD, federal government, or other highly regulated environments.
Experience with modern data-platform concepts including data lakes, lake houses, dimensional modeling, streaming or event-driven data, distributed processing, or containerized workloads.
Experience with data cataloging, lineage, master/reference data, role-based access controls, audit logging, backup/recovery, and disaster recovery practices.
Relevant technical certifications in Azure, data engineering, database administration, analytics, cloud architecture, or security.
Strong customer engagement, requirements analysis, technical presentation, mentoring, and cross-functional collaboration skills.
Experience with graph databases such as Neo4j and query languages such as Cypher, including property graph modeling.
Familiarity with knowledge graphs, ontologies, or semantic data models and controlled vocabularies.
Experience with entity resolution/record linkage and reconciling conflicting values across multiple authoritative sources into a single trusted record.

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13d ago

Senior Software Engineer AI Platforms

Cisco Systems, Inc. Austin, TX

Austin, TX

13d ago

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

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Job Description

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

Responsibilities

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

Requirements

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

Technologies

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

Preferred Qualifications

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

Benefits

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

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

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13d ago

Golang Developer

Basin Upfitting West Valley City, UT

West Valley City, UT

13d ago

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

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Job Description

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

Responsibilities

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

Requirements

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

Technologies

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

Experience

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

Benefits

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

Nice to Have

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

Soft Skills / Competencies

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

Location: West Valley City, UT (onsite)

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

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14d ago

Software Engineer

MCKESSON Irving, TX

Irving, TX

14d ago

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

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Job Description

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

Responsibilities

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

Requirements

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

Technologies

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

Preferred (not required)

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

Benefits

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

Location & Compensation

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

Technical skills

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

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14d ago

AI-Powered Back End Developer

Deloitte Baltimore, MD

Baltimore, MD

14d ago

$113k - $208k/yr Full time Backend Developer API APIs

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Job Description

Deloitte’s Cyber team is seeking an AI-Powered Back End Developer to help design and build core backend components for Cyber AI solutions. In this onsite role in Baltimore, MD, you will focus on secure REST and GraphQL APIs, cloud-connected deployments, and ongoing improvements to the frameworks that support central cyber control and active cyber defense.

Role Focus

Design, build, and maintain core portfolio components that power Cyber AI solutions
Create and support secure, scalable REST and GraphQL APIs for integration across platforms
Contribute to the development and evolution of Central Cyber Control and Active Cyber Defense frameworks
Integrate software components with cloud infrastructure and security tools to enable reliable, secure deployments
Stay current with new technologies, evaluating and applying best practices to improve innovation and efficiency

Collaboration and Delivery

Write clean, well-documented code and participate in code reviews to uphold quality standards
Work closely with cloud administrators, automation experts, and security engineers to design, deliver, and maintain advanced solutions

Required Qualifications

Bachelor’s degree required
Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future
Active Top-Secret Clearance
Local to the DMV area and willing to work onsite up to five days a week
Ability to travel 25% on average, based on work and client needs
3+ years back-end development including:
- Back-end development using Node.js and Python (Django, Flask)
- Containerized microservices deployed on Google Cloud Run
2+ years AI Architecture experience with one of:
- Modular integration with generative AI models (OpenAI, Google Vertex AI, Hugging Face), or
- Understanding of AI/ML concepts and frameworks, including TensorFlow and PyTorch
3+ years cloud experience, including experience with AWS, Azure, and GCP
3+ years JavaScript
3+ years Python

Technologies

Python, Java, Go
REST, GraphQL
Google Cloud (BigQuery), Terraform, CloudFormation, Ansible, Kubernetes
Jenkins, GitLab CI, Cloud Build, Git, JUnit, PyTest
Agile, DevOps culture
Node.js, Django, Flask, Google Cloud Run, JavaScript
OpenAI, Google Vertex AI, Hugging Face, TensorFlow, PyTorch
AWS, Azure, GCP

Compensation

Salary range: USD 113,300 - 207,800 per year
Eligible candidates may participate in a discretionary annual incentive program, subject to program rules and factors including individual and organizational performance

Preferred

CompTIA Security+ Certification

For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of compensation. A reasonable estimate of the current range is $113,300 to $207,800.

If you need an accommodation, you can review the available information here: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html.

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14d ago

Machine Learning Engineer

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

Boston, MA

14d ago

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

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Job Description

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

Responsibilities

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

Requirements

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

Technology Stack

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

Work Arrangement

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

Compensation

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

Benefits

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