Azure Virtual Desktop Engineer In Person BA Drive on 28-Aug-26 Chennai

Role Summary

Own the end-to-end Cloud & ITO practice engine—build and take platform/solution-led offers to market, drive rapid expansion across existing accounts, and run a scalable, profitable managed services model (CloudOps/InfraOps/DevSecOps/SRE). This role is accountable for GTM + delivery governance + margin with strong standards, automation, FinOps discipline, and measurable operational outcomes (availability, cost, cycle time, MTTR).

Key Responsibilities

Create & Take Offers to Market (Platform / Solutions-Led)

Build signature offers with clear outcomes, scope boundaries, and pricing/GM guardrails across Cloud Migration & Modernization, CloudOps/Managed Cloud Services, DevSecOps enablement & platform engineering, SRE/reliability engineering, FinOps from Day‑1, and hybrid/multicloud operating models.

Own assets that win: reference architectures, runbooks, proposal modules, ROI/TCO models, and demo/POV kits.

Lead platform-first positioning: “solution + operating model” with dashboards, governance, and measurable outcomes.

Rapid Expansion Across Existing Accounts (Land-and-Expand)

Create expansion plays inside current accounts: cloud cost optimization, reliability uplift, security hardening, DC exit, managed services takeovers, and automation of ops.

Partner with Sales to build account expansion blueprints and convert them via workshops/POVs.

Operate a consistent pipeline-to-expansion cadence: discovery → workshop/POV → scale program.

Managed Services Ownership (Cloud + Infra + Ops)

Stand up and scale Managed Cloud & Infrastructure Services: L2/L3 support model, ITIL-aligned processes, SLAs/OLAs, on-call, and incident/problem/change management.

Define a service catalog, runbooks, shift-left playbooks, and automation-first operations (ticket deflection, self-heal, IaC).

Establish governance: weekly ops reviews, monthly service reviews, and continual improvement plans (CIP).

Delivery Excellence & Profitability

Run a profitable model: utilization/pyramid health, delivery productivity, margin realization, leakage control, and change-order discipline.

Ensure operational compliance and audit readiness (security, access controls, change control).

Drive standardization and reuse of accelerators (IaC modules, golden pipelines, monitoring templates, hardening baselines).

Tool & Partner Ecosystem

Drive partner-led motions with hyperscalers and key platform providers; define co-sell plays and enablement.

Prevent tool sprawl: standardize toolchain and enforce engineering standards and controls across accounts.

Talent & Practice Build-out

Build/lead architects, CloudOps leads, SRE, DevSecOps, network/infra SMEs; define competency tracks and certifications.

Create a skills-to-demand plan and maintain a deployment-first model with bench-to-billable conversion discipline.

Areas of Expertise / Experience

Cloud architecture and engineering on AWS/Azure/GCP; hybrid and multicloud patterns

CloudOps/InfraOps managed services: ITSM, L2/L3 operations, SRE/observability, service governance

DevSecOps and platform engineering: CI/CD, IaC, environment automation, policy-as-code

FinOps: unit cost models, tagging standards, rightsizing, RI/SP governance, chargeback/showback

Security posture management: IAM patterns, CSPM, vulnerability management, change/access controls

Automation-first operations: self-healing, runbook automation, ticket deflection, reliability engineering

Success Metrics

Growth + expansion: bookings/pipeline, win-rate, and expansion penetration across existing accounts

Operational outcomes: SLA attainment, MTTR/incident reduction, change success rate, uptime/service reliability

Cost & efficiency: unit cost reduction, rightsizing savings, automation coverage, ticket deflection/shift-left

Profitability: GM at booking + realization, utilization, estimation variance/leakage control

Scalability: reuse of accelerators/IaC, certification progress, partner-sourced pipeline

Tool Expertise & Platforms (expected/preferred)

Cloud

AWS / Azure / GCP (architecture + operations)

IaC & Configuration

Terraform, CloudFormation/Bicep, Ansible

CI/CD & DevSecOps

GitHub/GitLab/Jenkins/Azure DevOps

SAST/DAST; secrets management

Observability/APM

Datadog, New Relic, Dynatrace, Prometheus/Grafana, ELK/Splunk

ITSM

ServiceNow (preferred), Jira Service Management

Security & Posture

CSPM (e.g., Prisma Cloud / Microsoft Defender for Cloud), policy-as-code, IAM patterns

FinOps

Tagging standards, dashboards, RI/SP governance; chargeback/showback

Experience

15–18+ years in cloud/infra/ITO leadership; 5+ years running managed services or practice portfolios.

Strong pursuit leadership across discovery → solution → estimate → SoW → delivery handoff; comfort owning GM guardrails.

Proven record of building repeatable offers and scaling operations with measurable outcomes.

Skills

cloud architecture and engineering

managed services leadershipdevsecops and platform engineeringsite reliability engineering srefinops and cost optimizationsecurity and compliance

We’re hiring a remote, contract-based Backend & Infrastructure Engineer who can build and run production systems end-to-end.

You will build and scale high-throughput backend services in Golang and Python, operate ClickHouse-powered analytics at scale, manage Linux servers for maximum uptime, scalability, and reliability, and drive cost efficiency as a core engineering discipline across the entire stack.

What You Will Do:

Backend Development (Golang & Python)

• Design and maintain high-throughput RESTful/gRPC APIs — primarily Golang, Python for tooling and supporting services
• Architect for horizontal scalability, fault tolerance, and low-latency at scale
• Implement caching (Redis/Memcached), rate limiting, efficient serialization, and CI/CD pipelines

Scalable Architecture & System Design

• Design and evolve distributed, resilient backend architecture that scales without proportional cost increase
• Make deliberate trade-offs (CAP, cost vs. performance) and design multi-region HA with automated failover

ClickHouse & Analytical Data Infrastructure

• Deploy, tune, and operate ClickHouse clusters for real-time analytics and high-cardinality OLAP workloads
• Design optimal table engines, partition strategies, materialized views, and query patterns
• Manage cluster scaling, replication, schema migrations, and upstream/downstream integrations

Cost Efficiency & Cost Optimization

• Own cost optimization end-to-end: right-sizing, reserved/spot capacity, storage tiering, query optimization, compression, batching
• Build cost dashboards, budgets, and alerts; drive a culture of cost-aware engineering

Linux Server Management & Infrastructure

• Administer and harden Linux servers (Ubuntu, Debian, CentOS/RHEL) — patching, security, SSH, firewalls
• Manage VPS/bare-metal provisioning, capacity planning, and containerized workloads (Docker, Kubernetes/Nomad)
• Implement Infrastructure-as-Code (Terraform/Pulumi); optionally manage AWS/GCP as needed

Data, Storage & Scheduling

• Optimize SQL schemas and queries (PostgreSQL, MySQL); manage data archival, cold storage, and lifecycle policies
• Build and maintain cron jobs, scheduled tasks, and batch processing systems

Uptime, Reliability & Observability

• Own system uptime: zero-downtime deployments, health checks, self-healing infra, SLOs/SLIs
• Build observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry); structured logging, distributed tracing, alerting
• Drive incident response, root cause analysis, and post-mortems

Required Qualifications:

Must-Have (Critical)

• Deep proficiency in Golang (primary) and Python
• Proven ability to design and build scalable, distributed architectures
• Production experience deploying and operating ClickHouse at scale
• Track record of driving measurable cost efficiency and cost optimization
• 5+ years in backend engineering and infrastructure roles

Also Required

• Strong Linux server administration (Ubuntu, Debian, CentOS/RHEL) — comfortable living in the terminal
• Proven uptime and reliability track record across production infrastructure
• Strong SQL (PostgreSQL, MySQL); experience with high-throughput APIs (10K+ RPS)
• VPS/bare-metal provisioning, Docker, Kubernetes/Nomad, IaC (Terraform/Pulumi)
• Observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
• Cron jobs, batch processing, data archival, cold storage management
• Networking fundamentals (DNS, TCP/IP, load balancing, TLS)

Nice to Have

• AWS, GCP, or other major cloud provider experience
• Message queues / event streaming (Kafka, RabbitMQ, SQS/SNS)
• Data pipelines (Airflow, dbt); FinOps practices
• Open-source contributions; compliance background (SOC 2, HIPAA, GDPR)

What We Offer

• Remote, contractual role
• Flexible time zones (overlap for standups + incident coverage)
• Competitive contract compensation + equity
• Long-term engagement opportunity based on performance

Job Role & Responsibility:

VMWare NSBU HCX team is looking for passionate engineers with a startup mindset and ready to solve business problems by applying technical engineering knowledge. You will be a part of enterprise class HCX cloud mobility platform to help customers solve datacenter evacuation, consolidation and hybrid cloud use cases. You’ll be part of a dynamic engineering team where a passion for innovation is a key to address technical problems, improve performance and scalability and focus on continuous improvement is of paramount importance. You will be a part of R&D development team focused on various aspects of HCX ranging from workload mobility to networking in the context of hybrid cloud paradigm. As part of the job, you will work with senior architects and other engineers of the team to deliver world class enterprise class product.

Required Skills:

• Background with Computer Science fundamentals (based on a BS or MS in CS or related field) with 4+ years of substantial professional experience
• Strong programming skills in Java/Go/Python
• Knowledge of distributed systems
• Understanding of Micro Services architecture, REST APIs Design and Development 
• Understanding of Kubernetes, Kafka, No-sql, Java/Sprint, Client MVC
• Exposure to one or more UI technologies
• Organized and passionate about details; able to effectively perform multiple/concurrent tasks within deadlines in a dynamic environment

Preferred Skills:

• Strong knowledge about virtualization, and/or container technologies
• Experience in SDN/Networking/Network Management domain is added plus
• Exposure to AWS, Azure is added plus