1242 Cloud Application Developer jobs in Dallas,TX

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Lead Salesforce Developer (Sales Cloud, Apex)

Gartner

Irving, TX 75039

New, Posted 19 hours ago

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Application System Analyst II - Converge Information Services

CHRISTUS Health

Irving, TX 75039

~ 22 min OnsiteUrgently Hiring

Associates or Bachelor's degree preferred with a focus in healthcare, business, or information systems
2+ years within healthcare, business, or information systems
3+ Years of experience
Solves moderate incidents without direction
Develops new functionality for requests with little direction
Works in a team setting, sharing information and assisting other junior level team members
Possesses detailed healthcare knowledge and systems expertise
Makes decisions regarding own work on primarily routine cases
Works under minimal supervision, uses independent judgment requiring analysis of variable factors
Collaborates with senior team members to develop approaches and solutions
Mentors and may train team members within own functional or application
Associated certifications on area of focus, preferred
For Epic Analysts: Certified or proficient in assigned Epic module (must be obtained within 6 months of employment date)
Certifications or Proficiencies must stay current by maintaining new version training

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New, Posted 1 day ago

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iHire

Cloud Engineer

KPMG

Dallas, TX 75201

Easy Apply

Domain Managing Architect - Cloud

Horace Mann

Plano, TX 75074

~ 27 min Onsite

15+ years of IT experience with 8+ years in architecture leadership roles
Proven experience leading cloud transformation and legacy modernization programs at enterprise scale
Brings broad cross-domain knowledge spanning enterprise and solution architecture, data platforms, integration, infrastructure, networking, and security to design scalable, secure, and resilient enterprise solutions.
Experience working within an Enterprise Architecture framework (e.g., TOGAF).
Fluency in modern architecture practices, including cloud-native, microservices, event-driven, and AI-enabled architectures.
Proven experience leading legacy modernization and enterprise cloud transformation initiatives across complex technology landscapes.
Ability to define and govern enterprise architecture standards, patterns, reference architectures, and technology roadmaps aligned with business strategy.
Expertise in creating architecture artifacts and diagrams (e.g., Visio, draw.io).
Collaborate with business leaders, IT leadership, and engineering organizations to translate strategic objectives into scalable technology solutions.
Experience in risk management and executive-level presentations.
Knowledge of FinOps and Cloud cost optimization strategies
Demonstrated ability to lead across organizational boundaries and drive consensus.

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Azure Cloud Engineer

Fisher Investments Careers

Dallas, TX 75217

New, Posted 13 hours ago

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Principal Engineer –Salesforce Commerce Cloud eB2B

Keurig Dr Pepper

Frisco, TX 75033

~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in related field (e.g., Computer Engineering, Information Systems, etc.) or equivalent combination of education and work experience.
Typically, 8+ years of experience in business analysis, quality assurance, or a hybrid BQAtype role supporting enterprise platforms
5+ years of DSD industry and Tell sell experience preferred.
Demonstrated handson experience with digital commerce, ordering, or customerfacing platforms (eCommerce, eB2B, tell sales, portals, or sales ordering systems)
Experience working with Salesforce platforms, preferably Commerce Cloud, B2B Commerce, or integrated eB2B solutions
Proven ability to translate business requirements into clear, testable acceptance criteria
Strong communication skills with the ability to collaborate effectively with Product, Engineering, QA, and business stakeholders
Ability to identify gaps, risks, and edge cases early to protect solution quality and business outcomes
Should have strong analytical, critical thinking, process modeling and decision making skills
Native-level proficiency/fluent in English.
Experience validating end-to-end order-to-cash or order lifecycle flows across integrated systems
Experience working in DevOps and Agile technology environments. (preferred)
Collaborate and share lessons learned regarding performance and reliability issues with all stakeholders including developers, other SREs, operations teams, and project management teams.
Licenses and Certifications Required:
Salesforce Commerce Cloud, OCM or related Salesforce certification preferred

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Sr. AI & Cloud Architect

McKesson Careers

Irving, TX 75061

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Sr. Middleware Developer (Boomi)

GTN Technical Staffing

Dallas, TX 75217

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Program Planner, Manager - TX [SECRET]

Lockheed Martin

Grand Prairie, TX 75051

RemoteFlexible Schedule

Active DoD SECRET clearance for consideration
US Citizen for consideration
Proficient with Microsoft Office applications
Demonstrated critical thinking and problem solving abilities
Proficient at developing/maintaining complex Network Schedules including integrity checks, critical path analysis, and Schedule Risk Analysis using MS Project / Deltek Open Plan
Experiences delivering project briefings to internal and external customers
Knowledge and experience of Earned Value Management (EVM) including Cost / Schedule Integration
Proficient and effective team building skills
Demonstrated influencing and relationship management skills
Work schedule: 4x10 hour day, 3 days off per week
Ability to work onsite with a designated Lockheed Martin facility (onsite/remote telework options described)
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration
Clearance Level: Secret
Relocation available: Possible

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Principal Engineer - Python API Development

Fidelity Investments

Flower Mound, TX 75027

~ 37 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.