1039 C Net Senior Developer jobs in Dallas,TX

Requires a High School Diploma or equivalent and a minimum of 6 years of prior relevant experience
2 years post-Secondary/Associates Degree with a minimum of 2 years of prior related experience
Mastery of CAD modeling best-practices
Strong 3D visualization aptitude
Proficient with CAD softwares; Solidworks and/or CREO
Experience using Microsoft Office products
Ability to obtain and maintain a Department of War Security Clearance
Security clearances may only be granted to U.S. citizens.
Physical Requirements (such as ability to lift up to 20 lbs.)
Occasional local travel may be required

SmartExplore AI is experimental.

Accountant Senior-Accounting

CHRISTUS Health

Irving, TX 75039

~ 22 min Onsite

Bachelor's Degree in Accounting or equivalent required.
5 years of experience required.
Candidates seeking CPA license preferred; some assistance available for those seeking licensing.

SmartExplore AI is experimental.

New, Posted 1 day ago

Recommended

Apply Directly

Senior Associate, Full Stack Developer - GCP

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

A minimum of three years of full stack development and programming experience with proven experience as a Full Stack Developer or similar role.
Bachelor's degree in computer science, Software Engineering, or a related field.
Strong expertise in Java, Python, and React JS and proficiency with Spring Boot, and Kubernetes.
In-depth understanding of microservices architecture with a solid understanding of software engineering principles and practices with experience with GenAI and large language models (LLM).
Experience with SQL databases and cloud platforms (GCP).
Knowledge of CI/CD processes and tools like Maven, familiarity with version control systems like Git.
Ability to travel
Must be authorized to work in the U.S without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H1B1, F-1, J-1, OPT, CPT or any employment-based visa)

SmartExplore AI is experimental.

New, Posted 19 hours ago

Recommended

Apply Directly

Automation Engineer

Amazon.com Services LLC

Dfw Airport, TX 75261

Flexible Schedule

Recommended

Apply Directly

Sr Principal Solution Architect, IT Cybersecurity Operations

American Airlines

Fort Worth, TX 76101

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training
12+ years experience in Cybersecurity Architecture
Extensive job experience in cybersecurity architecture or a related field is required, with a proven track record of designing and implementing secure IT architecture and frameworks
Demonstrated expertise in leading architectural design and strategic oversight in cybersecurity initiatives
Relevant certifications including but not limited to Certified Information Systems Security Professional (CISSP); Certified Information Security Manager (CISM); Certified Incident Handler (GCIH); Certified Information Systems Auditor (CISA); Certified Ethical Hacker (CEH); CompTIA Security+; Certified SOC Analyst (CSA)

SmartExplore AI is experimental.

New, Posted 3 hours ago

Recommended

Apply Directly

Senior Data Architect

Hilti

Allen, TX 75002

~ 25 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship.
Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred).
10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms.
5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker.
Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale.
Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS.
Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc.
DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore).
Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration,"Parquet/Delta/Iceberg.
Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns.
Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC.
AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops.
Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing.
DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning; blue/green or canary for data jobs.

SmartExplore AI is experimental.

New, Posted 23 hours ago

Recommended

Apply Directly

Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 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.