Cutting-Edge Solutions Jobs

794,282 open positions · Updated daily

Cutting‑Edge Solutions roles are driving the next wave of technology, from AI‑powered edge inference to quantum‑accelerated data pipelines. Demand is soaring as enterprises push analytics to the device, deploy autonomous systems, and secure decentralized ledgers.

Typical positions include ML engineers building TensorFlow models for real‑time inference, edge AI developers optimizing ONNX graphs on NVIDIA Jetson, blockchain architects designing Hyperledger Fabric networks, quantum software engineers using Qiskit for error‑corrected algorithms, and IoT integrators deploying secure MQTT stacks on AWS IoT Core.

Salary transparency is critical in this high‑skill field; it allows talent to benchmark their worth against cutting‑edge benchmarks, reduces hiring friction, and builds trust with companies that value rapid innovation.

Digital Business Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This job description outlines a role in IBM Consulting focused on supporting AI initiatives, improving business processes, and collaborating with global clients. The position emphasizes innovation, teamwork, and professional growth opportunities within a supportive environment.

Solutions Engineer

Company: IBM

Location: Stockholm, SE

Posted Dec 04, 2025

The Solutions Engineering team at HashiCorp serves as the primary technical resource and internal advocate for customers. Solutions Engineers partner with Sales Executives to support the customer journey, from pipeline creation to renewals. They act as trusted advisors, demonstrating the business value of HashiCorp solutions and driving expansion and adoption. The role requires strong communication, problem-solving, and collaboration skills, as well as deep technical expertise in DevOps, IT operations, security, and HashiCorp tools.

Data Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with visionaries across industries, improve hybrid cloud and AI, and make meaningful change for clients. The company provides training, promotion opportunities, diversity and inclusion, flexible work policies, and traditional benefits. The role involves leading data integration projects, mentoring junior engineers, and shaping technical direction.

Data Scientist Intern 2026 (Buffalo, NY)

Company: IBM

Location: Buffalo, US

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Interns can enhance knowledge, gain experience, and build a compelling portfolio by working on client projects. The role emphasizes continuous learning, skill development, and personal growth within a culture of coaching and mentorship.

Java Tech Lead for Financial Institution

Company: IBM

Location: Bucharest, RO

Posted Dec 04, 2025

This text describes a Java team lead role at IBM Consulting focused on modernizing legacy applications and collaborating with clients globally. It outlines technical responsibilities, required expertise in Java technologies, and work arrangements, presenting a professional job description with no overtly positive or negative tone.

Azure Cloud FullStack Developer - (Public Sector/Defence)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers career growth, training, and a supportive culture for tech professionals, emphasizing innovation and work-life balance.

Application Developer-Adobe Experience Manager

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients globally to improve hybrid cloud and AI solutions. The role involves developing scalable systems, implementing content management solutions using Adobe Experience Manager, and collaborating with clients to create innovative solutions.

Brand Technical Specialist Intern – Entry Level Sales Program 2026 (September Start)

Company: IBM

Location: Markham, CA

Posted Dec 04, 2025

IBM's Technology Sales Internship Program offers undergraduate and graduate students the opportunity to combine technical expertise with people skills to deliver innovative solutions to clients. The program focuses on building credibility, developing proposals, delivering proof of concepts, defining IBM solutions, and sales prospecting. Interns will work collaboratively with teams, engage with clients, and support sales opportunities.

Data Engineer-Data Integration

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers, designing and implementing scalable data warehouse solutions on Snowflake, building data ingestion and transformation pipelines using Talend, and integrating data from cloud platforms into Snowflake. Required education is a Bachelor's degree, with a preference for a Master's degree. Required expertise includes Snowflake schema design, performance tuning, query optimization, and data modeling techniques. Preferred experience includes optimizing Snowflake workloads, implementing data validation and governance frameworks, and proficiency in SQL and/or Shell scripting.

Principal Solutions Engineer

Company: IBM

Location: Jakarta, ID

Posted Dec 04, 2025

HashiCorp, now part of IBM, is seeking a Principal Solutions Engineer to lead cloud adoption in Indonesia. The role involves providing technical expertise, guiding customers through cloud journeys, and driving digital transformation. The ideal candidate will have deep technical knowledge, strong communication skills, and experience with HashiCorp products, cloud providers, and DevOps practices.

Application Consultant-ServiceNow

Company: IBM

Location: Bhubaneswar, IN

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Associates work on end-to-end feature development, collaborate with stakeholders, and solve challenges using best practice technologies. The role requires experience in ServiceNow CSM solutions, integration, and certifications.

Software Engineer II - HashiCorp Infragraph Connectors

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role within the HashiCorp engineering team. The team builds infrastructure and security lifecycle management solutions using products like Terraform, Packer, Waypoint, Nomad, Vault, Boundary, and Consul. The role involves designing, prototyping, and implementing features, collaborating with various teams, and ensuring stability and usability. The position requires a bachelor's degree, 3+ years of experience in Golang, and expertise in distributed systems and cloud providers.

Frequently Asked Questions

What are typical salary ranges by seniority in Cutting‑Edge Solutions?
Entry‑level roles start at $90k–$120k. Mid‑level engineers earn $120k–$160k. Senior specialists command $160k–$210k, while technical leads and architects can reach $210k–$260k based on impact and market.
What skills and certifications are required for Cutting‑Edge Solutions roles?
Core skills include Python, PyTorch/TensorFlow, ONNX, Kubernetes, Helm, and Terraform. Certifications such as AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer, Microsoft Certified: Azure AI Engineer, Certified Kubernetes Administrator (CKA), Hyperledger Fabric Developer, and IBM Quantum Developer are highly valued.
Is remote work available in Cutting‑Edge Solutions positions?
Yes, most companies adopt a hybrid model: 3–5 remote days per week with optional on‑site collaboration. Full‑remote roles are common for software and data teams that rely on cloud platforms.
What career progression paths exist in Cutting‑Edge Solutions?
Typical progression: Junior Engineer → Mid‑Level Engineer → Senior Engineer → Technical Lead → Principal Engineer → Engineering Manager → VP of Engineering. Advanced specialists may become AI Ethics Lead or Quantum Architecture Lead.
What industry trends are shaping Cutting‑Edge Solutions?
Key trends include AI democratization through low‑latency edge inference, quantum‑accelerated machine learning, scalable blockchain protocols (e.g., Polkadot, Cosmos), 5G‑enabled IoT, hybrid cloud orchestration, and growing regulatory focus on data privacy and AI explainability.

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