Envisioned Strategy and Consulting

Overview

Seeking for an experienced Automation & Reliability Engineering Lead to design, build, and lead automation and metrics solutions that reduce manual support toil and improve operational visibility across Support and SRE teams. This is a hands-on technical leadership role focused on engineering enablement, not tool-specific automation or day-to-day production support.

Key Responsibilities

* Define automation strategy and reference architectures for Support and SRE workflows

* Lead and mentor a small automation engineering team (may start as an individual contributor role)

* Design and build automation utilities, services, and frameworks to eliminate manual operations

* Engineer data pipelines to extract, normalize, and correlate operational data from systems such as Salesforce, email, logs, and internal services

* Define metric semantics (SLAs, lifecycle events, ownership, timestamps) and ensure data accuracy

* Partner with Support, SRE, and Power Platform teams to enable dashboards and reporting

* Establish standards for reliability, error handling, auditability, and documentation in automation solutions

* Identify, prioritize, and track automation opportunities based on toil reduction and risk mitigation

Required Qualifications

* 8+ years of experience in software engineering, automation, or platform engineering

* Strong hands-on programming experience in Python OR Java (one primary language required)

* Proven experience building internal tools, automation frameworks, or backend services

* Solid understanding of APIs (REST), data formats (JSON, CSV), and system integration

* Experience working with operational or production systems and understanding support workflows

* Ability to translate business or operational needs into reliable engineering solutions

Preferred Qualifications

* Experience designing or contributing to automation programs at scale

* Familiarity with observability concepts such as logging, metrics, and alerting

* Working knowledge of SQL or data persistence technologies

* Prior experience collaborating with SRE, DevOps, or Support teams

Nice to Have

* Exposure to AI/ML or GenAI techniques applied to operational automation (classification, summarization, anomaly detection)

* Experience supporting metric pipelines feeding BI or workflow automation platforms

* Healthcare or SaaS domain experience

Role Summary

Seeking an experienced SQL Developer with strong expertise in Data Lake architecture, Data Engineering, AI/ML data modelling, and Vector Database design. The candidate will be responsible for building scalable data platforms, developing optimized SQL solutions, designing AI-ready data models, and supporting enterprise analytics and GenAI initiatives.

Key Responsibilities

• Design, develop, and optimize complex SQL queries, stored procedures, views, and database objects.
• Build, maintain, and govern enterprise Data Lakes for structured, semi-structured, and unstructured data.
• Design scalable data models for Analytics, Machine Learning (ML), and AI applications.
• Develop and maintain data ingestion, transformation, and data preparation pipelines.
• Architect and manage Vector Database solutions supporting GenAI, semantic search, embeddings, and RAG-based applications.
• Ensure data quality, security, performance, governance, and scalability across platforms.
• Integrate data from multiple enterprise systems, databases, APIs, and business applications.
• Collaborate with Business, Analytics, Data Science, and AI teams to deliver enterprise data solutions.

Mandatory Skills

• Advanced SQL Development (SQL Server, PostgreSQL, Oracle, MySQL, etc.)
• Data Lake Architecture, Development, and Maintenance
• Data Warehousing & Dimensional Data Modelling
• AI/ML Data Modelling and Feature Engineering
• Python for Data Engineering, Data Processing, and Automation
• Query Performance Tuning & Database Optimization
• Data Governance & Data Quality Management
• Vector Database Architecture and Management (Pinecone, Qdrant, Weaviate, Milvus, Chroma, or similar)
• Experience handling large-scale structured and unstructured datasets

Preferred Skills

• Experience with GenAI, RAG (Retrieval-Augmented Generation), Embeddings, and LLM-based applications
• PySpark and Distributed Data Processing
• Power BI or Enterprise Reporting Platforms
• Knowledge of MLOps, AI data pipelines, and modern data architectures

Key Attributes

• Strong analytical and problem-solving skills
• Ability to independently own end-to-end data platform solutions
• Excellent communication and stakeholder management skills
• Passion for Data Engineering, AI, ML, and GenAI technologies

Ideal Candidate

A hands-on SQL Developer who can build and maintain enterprise Data Lakes, design AI/ML-ready data models, develop Python-based data solutions, and architect Vector Database platforms to support advanced analytics, AI, and GenAI initiatives.

About the Role

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end — from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale.

You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development — and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, GCP), on-premises systems, and third-party services — designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions — automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders

What You Must Have

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience — you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else's design
• Genuine full-stack depth across all layers:
• Front-end: Angular, TypeScript
• Backend: Java, Python, Go, or Node.js — at least one deeply, others functionally
• Data: SQL, NoSQL, caching (Redis), event streaming platforms
• Strong database knowledge in both theory and practice — relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or GCP — Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work — this will be probed in depth during interviews

Integration & API Technologies

You should have hands-on experience across several of the following:

REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• GCP-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration — not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana

Do Not Apply If

• You are primarily an Angular Architect, a Java architect, or strong in one layer only — this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role

This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high — because the impact is real.

Job Description

We are seeking an experienced Technical Consultant – Linux Platform & Virtualization to manage, support, and optimize enterprise Linux environments and virtualization platforms. The ideal candidate should have strong expertise in Linux administration, virtualization technologies, infrastructure management, troubleshooting, automation, and performance tuning in mission-critical enterprise environments.

Key Responsibilities

• Administer, maintain, and troubleshoot enterprise Linux servers (RHEL, CentOS, Ubuntu, SUSE).
• Install, configure, patch, and upgrade Linux operating systems and related software.
• Manage virtualization platforms such as VMware vSphere/ESXi, KVM, or Hyper-V.
• Monitor system performance, capacity, availability, and security of Linux infrastructure.
• Perform root cause analysis and resolve critical production issues within SLA timelines.
• Configure and manage storage, file systems, LVM, NFS, SAN, and NAS environments.
• Implement server hardening, security policies, user access management, and compliance standards.
• Automate routine administration tasks using Shell Scripting, Bash, or Python.
• Support backup, disaster recovery, and high-availability solutions.
• Work closely with application, database, networking, and cloud teams for infrastructure support.
• Perform system health checks, patch management, and capacity planning.
• Participate in production deployments, maintenance activities, and on-call support.
• Prepare technical documentation, SOPs, and knowledge articles.

Required Skills

• 8+ years of experience in Linux System Administration.
• Strong expertise in Red Hat Enterprise Linux (RHEL), CentOS, Ubuntu, or SUSE Linux.
• Hands-on experience with VMware vSphere, ESXi, vCenter, KVM, or Hyper-V.
• Strong knowledge of Linux networking concepts (TCP/IP, DNS, DHCP, SSH, NFS, FTP).
• Experience with storage technologies including SAN, NAS, LVM, and RAID.
• Proficiency in Shell/Bash scripting; Python scripting is an added advantage.
• Experience with monitoring tools such as Nagios, Zabbix, Prometheus, or Grafana.
• Knowledge of automation tools like Ansible is preferred.
• Familiarity with container technologies such as Docker and Kubernetes is a plus.
• Good understanding of ITIL processes, incident management, and change management.
• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Exposure to CI/CD tools and DevOps practices.
• Experience working in production support and high-availability environments.
• Relevant certifications such as RHCSA, RHCE, VMware VCP, or Linux Foundation are preferred.

Job Summary

We are looking for a passionate and motivated Full Stack Developer with 1–3 years of experience in developing modern web and mobile applications. The ideal candidate should have hands-on experience with React.js, Next.js, Node.js, and React Native, along with a solid understanding of REST APIs, databases, and modern development practices. You will work closely with cross-functional teams to build scalable, high-performance applications.

Key Responsibilities

• Develop responsive web applications using React.js, Next.js, HTML, CSS, Tailwind CSS, and TypeScript/JavaScript.
• Build and maintain backend services using Node.js, Express.js, or NestJS.
• Develop cross-platform mobile applications using React Native and Expo.
• Design, develop, and integrate REST APIs and GraphQL APIs.
• Work with relational and NoSQL databases such as PostgreSQL, MySQL, and MongoDB.
• Implement caching and search solutions using Redis and Meilisearch.
• Collaborate with UI/UX designers, product managers, and QA teams to deliver high-quality software.
• Write clean, reusable, and maintainable code following coding standards and best practices.
• Participate in code reviews, debugging, testing, and performance optimization.
• Use Git/GitHub for version control and collaborate effectively within Agile teams.
• Containerize applications using Docker for consistent development and deployment.

Required Skills

• 1–3 years of experience in Full Stack Development.
• Strong knowledge of JavaScript and TypeScript.
• Hands-on experience with React.js and Next.js.
• Experience in backend development using Node.js, Express.js, or NestJS.
• Knowledge of React Native and Expo for mobile application development.
• Experience working with REST APIs and GraphQL.
• Good understanding of PostgreSQL, MySQL, and MongoDB.
• Familiarity with Redis and Meilisearch is an added advantage.
• Experience with Git, GitHub, and Docker.
• Good understanding of responsive design principles and web performance optimization.
• Familiarity with Linux (Ubuntu) environments is preferred.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and teamwork abilities.