4384 Api Interoperability Engineer jobs in Dallas,TX
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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.
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Principal Engineer - Python API Development
Fidelity Investments
Euless, TX 76039
~ 28 min OnsiteUrgently HiringEducation 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.
New, Posted 1 day ago
Remote Online Tasks – Earn Up to $1,500/month Playing Games
Free Cash
Dallas, TX 75396
$1,500/mo
Remote
New, Posted 1 day ago
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Engineer/Sr Engineer, IT Software
American Airlines
Fort Worth, TX 76101
~ 44 min Onsite
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 3+ years of experience designing, developing, and implementing large-scale solutions in production environments
Easy Apply
Work From Home Benefits Advisor - Entry Level
Hire Standard Staffing
Dallas, TX
$120,000/yr
RemoteHealth Insurance
- Must be a U.S. or Canadian citizen
New, Posted 8 hours ago
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Automated Machine Operator
Ecolab
Garland, TX 75040
$26.02/hr
~ 26 min OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- High School diploma or GED
- 1 year of experience working in a manufacturing environment using the following equipment: filler, sleeve labeler, cappers, tape machine, bar coders, ink jet printer, hand wrenches, hand stamps, palletizers, lid presses
- 1 year of experience working with automated processes in a manufacturing environment
- 1 year working with Microsoft Office Programs (Word, Excel and Outlook)- tablets are used in this role
- No immigration sponsorship available for this role
- Position requires lifting/carrying up to 50 lbs
New, Posted 23 hours ago
Easy Apply
Apprentice Pest & Termite Technician – Paid Training & Company Vehicle
All-Safe Pest & Termite
Lewisville, TX 75057
$27/hr
~ 33 min Onsite
- Valid driver's license (5+ years)
- Good driving record
- Ability to pass a background check and drug screen
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Driver Needed - Earn Extra Money Delivery Lowe's Orders
Bring It Now
Fort Worth, TX 76137
~ 44 min Onsite
- Delivery driver
- Driver
- Pickup TrucksCargo Vans
- Cargo VansBox Trucks
- SUVs (select deliveries)
- Flexible 1099 Gig Work
- Work When You Want
- Weekly Pay
- Deliver in Your Own Community
- Orders from $25-$150 per delivery
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Printed Wiring Board Fabricator A - 1st Shift
Lockheed Martin
Grand Prairie, TX 75051
~ 28 min OnsiteFlexible SchedulePaid Time Off
- Six to twelve months experience in Printed Wiring Board (PWB) manufacturing required.
- Under direct guidance, be able to understand and recognize basic chemical compatibility.
- Works well in a team environment
- Basic computer skills
- Must be a US Citizen, this position is located at a facility that requires special access
- MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access
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Label Machine Operator
Avery Dennison
Dallas, TX 75232
OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- High school diploma or GED
- 1-2 years of related manufacturing or machine operation experience
- Strong mechanical skills and the ability to analyze equipment performance
- Ability to lift up to 50 lbs and stand for the duration of a shift
- Color vision proficiency to distinguish product variations
- Shift: D Shift, Wednesday 12AM - 6AM, Thurs-Sat 6PM-6AM
- Background check and a drug screening (post-offer; condition of employment)
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Assembler
PURVIS INDUSTRIES LLC
Fort Worth, TX 76137
~ 44 min OnsiteHealth InsurancePaid Time OffRetirement Benefit
- 1-3 years' experience assembling electrical control panels, industrial equipment, or mechanical assemblies.
- Ability to read and interpret electrical schematics, wiring diagrams, and mechanical drawings.
- Proficiency with hand tools, power tools, and mechanical fabrication.
- Understanding of wiring techniques, terminations, labeling, and cable management.
- Detail-oriented with strong craftsmanship and pride in work.
- Ability to safely lift up to 50 lbs and stand for extended periods.
- Strong communication and teamwork skills.
- High school diploma or GED required.
What companies are hiring Api Interoperability Engineer jobs in Dallas,TX?
- Fidelity Investments
- Free Cash
- American Airlines
- Hire Standard Staffing
- Ecolab
- All-Safe Pest & Termite
- Bring It Now
- Lockheed Martin
- Avery Dennison
- PURVIS INDUSTRIES LLC
- Fidelity Investments
- Free Cash
- American Airlines
- Hire Standard Staffing
- Ecolab
- All-Safe Pest & Termite
- Bring It Now
- Lockheed Martin
- Avery Dennison
- PURVIS INDUSTRIES LLC
What is the hourly salary range for Api Interoperability Engineer jobs in Dallas,TX?
The hourly salary range is $26.02 - $27.
The hourly salary range is $26.02 - $27.
