Innovative Solutions Jobs

857,825 open positions · Updated daily

The Innovative Solutions sector is booming as companies race to deploy AI‑driven automation, edge computing, and cloud‑native pipelines. Demand for specialists who can architect scalable, secure systems that integrate ML models, real‑time data streams, and IoT devices is higher than ever. With 5,241 open positions, the market rewards technical depth and business insight.

Roles range from Cloud Solutions Architect, AI Platform Engineer, Data Stream Engineer, to DevSecOps Specialist. Responsibilities include designing Kubernetes clusters, building Terraform IaC, integrating Kafka or Pulsar, developing model deployment pipelines, and securing data flows with OAuth, SAML, and zero‑trust principles.

Salary transparency is critical for professionals in this fast‑moving niche. Knowing the exact range for a specific seniority level, tech stack, and region allows candidates to gauge whether a role aligns with their career goals and negotiate confidently in a competitive landscape.

Senior Manager, Machine Learning Science

Company: Expedia Group

Location: Seattle, WA

Posted Oct 01, 2025

Lead and mentor a team of Machine Learning scientists to develop state-of-the-art search and discovery algorithms, enhancing the relevance and personalization…

Licensed Plumber (Water Heater Installs)-League City, TX

Company: ARS-Rescue Rooter

Location: League City, TX

Posted Oct 01, 2025

A valid driver’s license is required. A valid Texas Plumbing license (Tradesman or higher). Must be able to climb ladders, work overhead, manipulate and…

Licensed Plumber (Water Heater Installs)-Missouri City, TX

Company: ARS-Rescue Rooter

Location: Missouri City, TX

Posted Oct 01, 2025

A valid driver’s license is required. A valid Texas Plumbing license (Tradesman or higher). Must be able to climb ladders, work overhead, manipulate and…

Senior iOS Engineer - Trip Planner

Company: Expedia Group

Location: Austin, TX

Posted Oct 01, 2025

Ability to communicate effectively across technical and non-technical audiences. Bachelor’s degree in Computer Science or a related field, or equivalent…

Senior Cloud Security Engineer

Company: Expedia Group

Location: Austin, TX

Posted Oct 01, 2025

Bachelor’s or Master’s Degree in Computer Science, Engineering, or related technical field; or equivalent related professional experience.

Performance Marketing Manager (Metasearch)

Company: Expedia Group

Location: Austin, TX

Posted Oct 01, 2025

Understand the complexities of partner campaigns performance drivers and conduct in-depth analysis to capture impactful insights on growth opportunities and…

Software Development Engineer III – Full Stack Engineering

Company: Expedia Group

Location: San Jose, CA

Posted Oct 01, 2025

Bachelor’s degree in Computer Science, Software Engineering, or related technical field (5+ years experience) or Master’s degree (3+ years experience).

Board Certified Behavioral Analyst (BCBA)

Company: Redwood Family Care Network

Location: Canoga Park, CA

Posted Oct 01, 2025

Master’s degree in related field preferred, BCBA credential required. This position will require a valid California ID or Driver’s License.

Machine Learning Scientist III - CRM Machine Learning Science

Company: Expedia Group

Location: San Jose, CA

Posted Oct 01, 2025

Excellent communication skills for both technical and non-technical audiences. MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a…

Machine Learning Scientist II - CRM Machine Learning Science

Company: Expedia Group

Location: San Jose, CA

Posted Oct 01, 2025

Research, design, and implement state-of-the-art recommendation algorithms for Customer Relationship Management (CRM) use cases, including personalized offers,…

Senior Machine Learning Engineer, Distribution and Supply

Company: Expedia Group

Location: Seattle, WA

Posted Oct 01, 2025

Collaborate in cross-functional teams of Software Engineers and Machine Learning Engineers/Scientists to design and develop large-scale batch and real-time ML…

Senior Machine Learning Scientist

Company: Expedia Group

Location: San Jose, CA

Posted Oct 01, 2025

Excellent communication skills for both technical and non-technical audiences. PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or…

Frequently Asked Questions

What are the typical salary ranges by seniority in Innovative Solutions roles?
Entry‑level (0‑2 yrs) typically earn $80k‑$110k total compensation in the U.S., mid‑level (3‑5 yrs) $110k‑$150k, senior (5‑8 yrs) $150k‑$200k, and lead/architect (8+ yrs) $200k‑$260k. Salaries vary by region: San Francisco and Seattle command the top of the range, while the Midwest and East Coast are slightly lower.
What skills and certifications are required?
Key skills include Python, Go, or Rust for backend, Terraform, Helm, and Kubernetes for infra, CI/CD with GitLab CI or Jenkins, and experience with AI frameworks like TensorFlow, PyTorch, or ONNX. Certifications such as AWS Certified Solutions Architect – Professional, Google Cloud Professional Cloud Architect, or Certified Kubernetes Administrator are highly valued. For data‑stream roles, knowledge of Kafka, Pulsar, or Apache Flink is essential.
Is remote work available in Innovative Solutions positions?
Most roles support flexible work models. 70% of listings allow full‑remote or hybrid arrangements, often with a 3‑day‑in‑office schedule. Remote eligibility depends on platform global reach and data residency, but many teams are fully distributed across North America, Europe, and Asia.
What career progression paths exist in this field?
Career paths typically start as a Junior Engineer or Support Engineer, progress to Solutions Engineer or Platform Engineer, then to Senior/Lead Engineer, and eventually to Principal Engineer, Technical Director, or Product Manager. Advancement hinges on mastering cross‑domain knowledge, contributing to open‑source projects, and demonstrating leadership in architecture reviews.
What industry trends are shaping Innovative Solutions roles?
Current trends include the proliferation of AI‑as‑a‑Service, the shift to edge‑first data architectures, expansion of serverless compute, and adoption of zero‑trust security models. Companies are investing in low‑latency data pipelines and automated model monitoring, creating new roles focused on observability, AIOps, and compliance.

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