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We are seeking a highly experienced Solution Architect to design, guide, and govern scalable software solutions across the Capital Markets analytics platforms. This role requires strong expertise in traditional client-server architecture, AWS cloud technologies, AI infrastructure, and advanced AI governance practices, ensuring solutions align with business strategy, security standards, and responsible AI policies. Ensure interoperability across systems, data layers, AI services, and platforms Cloud Architecture (AWS) Architect and optimize cloud-native and hybrid solutions using AWS services Define cloud migration strategies and modernization approaches Ensure high availability, resiliency, cost optimization, and performance AI, Data & Intelligent Systems Architecture Design AI/ML infrastructure, pipelines, and enterprise integration patterns Architect solutions incorporating LLMs, generative AI, and intelligent agents Guide adoption of AI technologies within enterprise platforms and products Feature stores and data pipelines Model deployment, versioning, and scaling AI Governance, Observability & Control Define and implement enterprise AI governance frameworks covering: Responsible AI usage (fairness, bias mitigation, explainability) Data privacy, lineage, and compliance AI risk classification and policy enforcement Establish AI observability and monitoring capabilities, including: End-to-end tracing of AI/ML and LLM flows using tools such as OpenTelemetry Monitoring of prompts, responses, latency, and model behavior using platforms like Langfuse or equivalent Metrics for model performance, drift, hallucination rates, and usage patterns Monitoring and auditing of autonomous and semi-autonomous AI agents Policy-based control over agent actions and integrations Implement AI lifecycle governance, including: Act as a strategic liaison across Semantic, Data, and ML architecture domains Facilitate alignment between knowledge graphs, ontologies, data platforms, and ML systems Bridge gaps between business semantics, data engineering, and machine learning pipelines Define policies for data governance, access control, and auditability Align AI and cloud solutions with regulatory and compliance frameworks Work with engineering, product, data, and AI teams to align solutions 8-12+ years in software engineering and architecture roles Proven experience designing large-scale distributed systems NET and/or Python AWS Technologies Amazon EC2, AWS Lambda Amazon ECS / EKS (Kubernetes) Networking & Integration AWS App Mesh, EventBridge, SNS, SQS Data & Storage DevOps & Automation AWS CloudFormation / CDK / Terraform AWS CodePipeline, CodeBuild, CodeDeploy Amazon CloudWatch, AWS X-Ray AWS IAM, Cognito, KMS, Secrets Manager AWS Organizations and Control Tower AI/ML, LLM & Observability Expertise Experience with AWS AI/ML stack: Amazon Bedrock (LLMs & foundation models) AWS Glue, Lake Formation Hands-on experience with: LLM-based architectures and agent-based systems AI observability tools (e.g., AI governance frameworks and enterprise AI controls Agent orchestration, monitoring, and guardrails Data lineage, quality, and compliance Cloud-native and serverless patterns Experience integrating data, semantic, and ML architecturesSoft Skills AWS Certified Solutions Architect AWS Specialty Certifications (Machine Learning, Security) Experience implementing AI governance frameworks Exposure to multi-cloud or hybrid environments Languages English: .
India alone has 1,433 of them. Here's how to pick your next move.
4.658Jobs
1.433IN
70%EN
The devops job market is concentrated. India has 1,433 open roles, Poland has 560, and the US has 432. If you're based elsewhere or willing to relocate, knowing where the volume is helps you focus your search instead of applying blind.
Three-quarters of the ads are written in English—3,280 out of 4,658. This tells you about the ad itself, not whether the role requires you to speak English on the job. Check each posting carefully for language expectations.
A handful of employers are hiring hard right now. FullStack has 69 open devops positions, Link Group has 57, Upvanta has 36, and FlexBoard has 28. If you're building a target list, these four are worth researching deeply—they're actively scaling.
When you interview, expect questions about your incident response process. Hiring managers want to know how you've handled a real outage: what monitoring alerted you, what you did first, and what you'd do differently next time. Prepare a story with those three pieces.