1709 Senior Software Engineer jobs in Frisco,TX

6+ years of software development experience on large-scale enterprise platforms.
4-6+ years of experience in financial services, particularly with concepts like Margins, Options Expiration, Futures, Violations, and Pledged Asset Loans.
5+ years of experience in large/complex projects with multiple dependencies, utilizing Agile (Scrum/Kanban/Scaled Agile) processes for planning, implementation, and support of business application components, including change and release management.
Bachelor's degree in technology or a related discipline.
6+ years of solid development experience in distributed systems and cloud platforms.
Full Stack Development Experience with Microsoft .NET Framework, C#, and .NET in a Windows data center environment.
Experience with Angular, RXJS, TypeScript, PrimeNg, and .NET Core.
Experience with integrating SOAP and REST services.
Extensive experience working with leading cloud platforms and containerization technologies.
Knowledge of various database technologies including NoSQL (e.g., Aerospike) and relational databases (e.g., SQL Server, PostgreSQL).
Knowledge of application integration with Business Process Management (BPM) platforms.
Expertise with enterprise messaging systems (e.g., IBM MQ, Kafka).
Hands-on expertise with Agentic AI tools and frameworks, and working in an AI-Led Development Lifecycle.
Experience with Agile development methodology.
Experience owning and operating multiple instances of a mission-critical service.
Experience using telemetry and metrics to drive operational excellence.
Demonstrated ability to interact and communicate successfully with business partners, technology teams, production support, and infrastructure teams.
Strong problem-solving skills with an ability to identify stakeholders, assess their needs, and manage expectations through effective communication.
Adaptability to thrive in a dynamic, fast-paced environment with many moving parts and a large variety of responsibilities.
Self-starter with strong prioritization and multitasking capabilities.
Demonstrated ability to thrive in a flexible and fast-paced environment, including the ability to think big in a rapidly evolving technology space, and successfully handle ambiguity.
In-depth knowledge of the software engineering and architecture space: languages, frameworks, techniques, and industry trends.
Candidates must be able to work in the US without sponsorship or restrictions * No 3rd party vendors

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Software Engineer

McKesson Careers

Irving, TX 75061

New, Posted 8 hours ago

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Forward Deployed Engineering Principal

PMG

Dallas, TX 75217

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Test Automation Engineer

Actalent

Frisco, TX 75033

$110,000-$150,000/yr

New, Posted 10 hours ago

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Senior AI Developer [210505]

Aquent Talent

Southlake, TX 76092

~ 35 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
7+ years of professional software engineering experience actively developing large-scale software using Java, Spring framework, cloud development, and Web Services supporting high-volume transactions in a highly available environment.
2+ years of hands-on experience with AI/ML implementation and production deployment.
6+ years of experience working with containers and microservices in the cloud.
6+ years of experience in cloud deployment within a continuous integration and continuous delivery (CI/CD) model.
2+ years of experience with cloud platforms like AWS or GCP.
2+ years' experience working with databases such as MongoDB, Aerospike, and/or PostgreSQL.
2+ years prior experience in IT transformations and system modernization initiatives from legacy to distributed platforms.
Hands-on experience with Large Language Models.
Demonstrated exposure to, or hands-on experience with, Generative AI coding assistants used across day-to-day engineering workflows in the SDLC, applying engineering judgment and validation.
Working knowledge of agentic workflows, spec-driven development, and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
Understanding of broker-dealer capabilities and operations.

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 23 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.