Note: The job is a remote job and is open to candidates in USA. SoftServe is a technology consultancy focused on delivering innovative solutions through strategic client partnerships. The Technical Consultant will lead technical discussions, design cloud-native and AI architectures, support ML productization, and guide DevOps, infrastructure, and production operations while connecting technical recommendations to business value.
Responsibilities
- Pre-Sales Leadership: Partner with Revenue organization to lead technical discussions, solutioning workshops, and proof-of-concept engagements with clients. Serve as the trusted technical advisor who translates business challenges into tailored technology solutions
- Collaborate with segment/account leadership and align with clients’ evolving business priorities
- Design and present end-to-end architectures that address complex client needs, ensuring scalability, security, and cost-effectiveness
- Partner with Data Scientists and Engineers to support the full ML lifecycle – from experimentation to deployment
- Take part in productionizing large language models (LLMs) and other advanced AI models
- Cloud-Native Architecture/ System Design Kubernetes in production environments
- Operating and maintaining production systems
- Building CI/CD pipelines
- Observability/monitoring
- On-premises systems
- SQL as well as NoSQL DBs
- Secret management and data protection
- Definition of integration and business logic implementation principles
- Coordination of technical debt, and backlog
- Maintain a synergy of Data Scientists, Engineering teams to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
- Champion client success stories by translating technical delivery into business value
- Develop repeatable solution frameworks that accelerate pre-sales engagements, emerging competitors, and disruptive innovations
- Provide technical vision and direction
- Add value to the company with the help of your achievements
- Help team with technical problems and decisions
- Enjoy the opportunity to work with the latest modern tools and technologies on various projects
- Participate in international events and get certifications in cutting-edge technologies
Skills
- • 6+ years of relevant professional experience
- • The principles of computer systems and DevOps patterns
- • Demonstrate expertise across AI/Agentic AI, Cloud Platforms, Enterprise Applications, AI/ML, and Modern Architectures
- • An expert who connects technical recommendations with measurable business outcomes, ROI, and competitive differentiation
- • Deep knowledge of IaC tools, Hashicorp Terraform preferred
- • Deep knowledge of Kubernetes Ecosystem, CNI, CRDs, Mesh, etc
- • Knowledge of Public Cloud Providers: GCP, AWS, Azure (at least one)
- • Understanding of an on-prem DC stack
- • Good knowledge and understanding in AI infrastructure, networking
- • Skilled in developing, packaging, and integrating ML services into real applications
- • Familiar with CI/CD practices for machine learning systems
- • Strong organizational, analytical, and system thinking skills
- • Multitasking and ability to switch context
- • Committed and self-motivated approach
- • Bright communication and negotiation skills
- • An expert who connects technical recommendations with measurable business outcomes, ROI, and competitive differentiation
- • Deep knowledge of IaC tools, Hashicorp Terraform preferred
- • Cloud Architect Certification: Cloud Architect
- • AI Certifications
- • Complex cloud-native systems or consultancy projects
Benefits
- If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here.
- Participate in international events and get certifications in cutting-edge technologies
Company Overview
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