Technical Analyst: AI, Automation, Observability and Cloud

Location : Remote WFH. Chennai preferred.

Role Overview

Why This Role Matters

Key Responsibilities

• Conduct technical research and comparative analysis of third-party vendors, partners, and new technologies relevant to AI, Automation, Observability and Cloud.
• Identify candidate tools, APIs, and platforms. Build quick POCs with our product and engineering team, run cost/perf benchmarks, document trade-offs, and recommend go / no-go.
• Evaluate and recommend solutions for integration, scalability, and performance, with a focus on our core tech stack: PHP, MySQL, JavaScript, React, AWS (including observability/monitoring), Dynatrace, GitHub, IDEs, Google platforms and solutions such as Workspace, Google Web Scripts, Google BigQuery.
• Architecture & Data Design Support Work with engineering and business teams to shape technical specs for new features (PHP/React/microservices on AWS), Google BigQuery, ensuring scalability, security, and observability via Dynatrace and CloudWatch.
• Analyze, design, and document technical architectures for new features and AI-driven solutions, including RAGs, Langchain, MCPs, A2A, Vector DBs so as to build complete agentic AI systems.
• Assist with creating AI driven automation for internal workflows, observability and monitoring, Agentic workflows, and for our apps by way of automatic, real-time, hyper-personalized campaigns on-the-fly.
• Collaborate with cross-functional teams to translate business requirements into technical specifications and actionable project plans.
• Integration & Partner Management Own the technical relationship with third-party vendors (Clouds, ESPs, Dynatrace, etc.). Define integration contracts, validate SDKs/Webhooks, and oversee sandbox tests.

• Lead technical due diligence for potential vendors, partners and platforms/environments, including proof-of-concept evaluations and risk assessments
• Support the development team with technical insights, troubleshooting, and best practices for AI based automated integration and deployment.
• Monitor and report on system performance, identifying areas for improvement and optimization
• Stay updated on emerging technologies, especially in AI/ML, Automation, Observability and Cloud and proactively propose innovative solutions that align with our business objectives.
• Create and manage knowledge repos so that the team s knowledge continues to be bleeding-edge.

Required Skills & Qualifications (Essential criteria)

• 4+ years in a Technical Analyst, Solutions Engineer, or similar R&D role within a cloud-based software delivery environment.
• Bachelor s degree in Computer Science, Engineering, or related field from a premier institution.
• Must have the curiosity and hunger to learn and embrace new concepts, technologies, and platforms.
• Strong experience with SaaS/web application architectures and AWS cloud infrastructure .
• Must have worked in a GitHub SDLC and CI/CD pipelines and should have done AI and automation in the Github environment.
• Proficiency with PHP, MySQL, JavaScript, React, and related web technologies so as to be able to read and prototype code
• Hands-on experience with observability and monitoring tools (e.g., Dynatrace)
• Demonstrated experience evaluating and integrating third-party APIs, vendors, and partners.
• Experience in AI/ML, including knowledge of RAGs, Langchain, and agentic AI architectures.
• Excellent analytical, problem-solving, and communication skills, with the ability to bridge business and technical teams.
• Experience evaluating APIs, SDKs, and SaaS vendors you know how to interpret docs, rate-limit tables, SLAs, and pricing tiers.
• Should have worked on automation projects using tools such as N8N, Make, etc.
• Clear, concise technical writing your comparison docs and decision memos help teams move fast with confidence.

Preferred Skills & Qualifications

• Exposure to Google Apps Script, Workspace add-ons, or GCP data products (BigQuery, Pub/Sub, Dataflow)
• Prior exposure to loyalty, referral, gamification, or contest platforms.
• Experience with cloud security and compliance best practices.

Does this sound interestingIf yes, please apply with your detailed r sum , projects completed, LinkedIn profile & a cover letter briefly addressing the selection criteria.

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