Technical Consultant
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Job Description
WE ARE
\nSoftServe isn't just about technology - it's about open-minded people who love technology and have everything they need to pursue their passion to create innovation. Our format of the job is a consultancy for different projects through our strategic partnership with our client, not tied to specific projects, technologies, timelines. We do DevOps for everything. We have developed a customer-trusted relationship and a strong partnership with NVIDIA, Microsoft, Amazon, Google and Cisco.
\nWe cover diverse set of projects which includes deployments to on-prem DCs, AI Ready infrastructures and all HyperScalers, also enable various applications and AI Workloads. Our teams always work with cutting-edge tools and technologies and we enable full lifecycle from problem framing to deployment.
\nYOU ARE
\nA professional having the following expertise:
\n- \n
- 6+ years of relevant professional experience\n
- The principles of computer systems and DevOps patterns\n
- Demonstrate expertise across AI/Agentic AI, Cloud Platforms, Enterprise Applications, AI/ML, and Modern Architectures\n
- An expert who connects technical recommendations with measurable business outcomes, ROI, and competitive differentiation.\n
- Actively contribute to internal and external communities through speaking engagements, customer appreciation events, strategic advisory roles\n
- Deep knowledge of IaC tools, Hashicorp Terraform preferred\n
- Deep knowledge of Kubernetes Ecosystem, CNI, CRDs, Mesh, etc.\n
- Knowledge of Public Cloud Providers: GCP, AWS, Azure (at least one)\n
- Understanding of an on-prem DC stack\n
- Good knowledge and understanding in AI infrastructure, networking\n
- Skilled in developing, packaging, and integrating ML services into real applications\n
- Familiar with CI/CD practices for machine learning systems\n
- Strong organizational, analytical, and system thinking skills\n
- Multitasking and ability to switch context\n
- Committed and self-motivated approach\n
- Bright communication and negotiation skills\n
Nice-to-have experience includes:
\n- \n
- Cloud Architect Certification: Cloud Architect\n
- AI Certifications\n
- Complex cloud-native systems or consultancy projects\n
YOU WANT TO WORK WITH
\n- \n
- 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.\n
- Collaborate with segment/account leadership and align with clients’ evolving business priorities.\n
- Design and present end-to-end architectures that address complex client needs, ensuring scalability, security, and cost-effectiveness.\n
- Partner with Data Scientists and Engineers to support the full ML lifecycle – from experimentation to deployment\n
- Take part in productionizing large language models (LLMs) and other advanced AI models\n
- Cloud-Native Architecture/ System Design Kubernetes in production environments\n
- Operating and maintaining production systems\n
- Building CI/CD pipelines\n
- Observability/monitoring\n
- On-premises systems\n
- SQL as well as NoSQL DBs\n
- Secret management and data protection\n
- Definition of integration and business logic implementation principles\n
- Coordination of technical debt, and backlog\n
TOGETHER WE WILL
\n- \n
- 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\n
- Champion client success stories by translating technical delivery into business value.<