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EXL

Forward Deployment Engineer

EXL

Forward Deployment Engineer deploying EXLdata.ai in cloud environments for clients with a focus on data pipeline management and client enablement.

Posted 5/22/2026full-time🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesPySparkPythonSQL

About the role

Key responsibilities & impact
  • Deploy EXLdata.ai in client-owned AWS/Azure/GCP environments.
  • Configure networking, security, CI/CD, Kubernetes, API gateways, and identity integration.
  • Troubleshoot environment, infra, IAM, and pipeline-related issues.
  • Lead cloud-level optimizations (scaling, cost, performance tuning).
  • Build, customize, and optimize data pipelines using **PySpark, SQL, Databricks, Snowflake**, or native hyperscaler data services.
  • Integrate platform agents into client workflows (Data Migration, DQ, DataOps, Annotation).
  • Assist client SMEs in onboarding data sources, targets, and transformations.
  • Serve as the **technical anchor** for first-of-kind deployments at each client.
  • Ensure clients see measurable value from agent-driven automation (SLA reduction, pipeline acceleration, DQ uplift, migration speed).
  • Provide hands-on support across discovery, configuration, runbooks, and UAT.
  • Work with product engineering on integrating new GenAI agents into client pipelines.
  • Tailor agent behaviors, triggers, and workflows for domain-specific use cases.
  • Share field insights that shape our agent roadmap.
  • Act as the “voice of the customer” for the EXLdata.ai product team.
  • Identify enhancements, feature gaps, and new accelerator ideas.
  • Participate in internal sprints, tooling improvements, and platform hardening.
  • Support deployments in EXL-hosted private cloud environments.
  • Serve as the first line of operational excellence for premium clients.
  • Lead operational reliability, monitoring, and support SLAs.

Requirements

What you’ll need
  • 6–12+ years as a **Senior Data Engineer**, Forward Deployment Engineer, or Platform Engineer.
  • Strong hands-on experience with **at least one hyperscaler** (AWS or Azure or GCP).
  • Deep expertise in:
  • **PySpark**, SQL, Python
  • **Databricks / Snowflake** (one mandatory, both preferred)
  • Cloud data services (Kinesis, Glue, Redshift, Synapse, BigQuery, DataProc, etc.)
  • Kubernetes, Docker, CI/CD
  • IAM, VPC, private networking, secrets, API management
  • Demonstrated ability to **work directly with client engineering teams**.
  • Comfortable running design discussions, debugging sessions, and deployment workshops.
  • Strong communication skills; able to simplify technical topics for business audiences.
  • Ability to operate independently with a **consulting mindset and ownership mentality**.
  • Exposure to LLMs, agent tooling (LangChain, LangGraph, CrewAI, etc.), or willingness to learn fast.
  • Strong interest in how AI can automate data engineering and governance.
  • “Can-do” attitude; thrives in ambiguity.
  • Fast learner; bias for action.
  • Team player who collaborates across product, engineering, and client teams.
  • Customer-first orientation and passion for delivering measurable outcomes.

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Forward Deployment Engineer 🔥 52 minutes ago 🏢🏡 null – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior ⛑ DevOps & Site Reliability Engineer (SRE) Amazon Redshift AWS Azure BigQuery Cloud Docker Google Cloud Platform Kubernetes PySpark Python SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Deploy EXLdata.ai in client-owned AWS/Azure/GCP environments.
  • Configure networking, security, CI/CD, Kubernetes, API gateways, and identity integration.
  • Troubleshoot environment, infra, IAM, and pipeline-related issues.
  • Lead cloud-level optimizations (scaling, cost, performance tuning).
  • Build, customize, and optimize data pipelines using **PySpark, SQL, Databricks, Snowflake**, or native hyperscaler data services.
  • Integrate platform agents into client workflows (Data Migration, DQ, DataOps, Annotation).
  • Assist client SMEs in onboarding data sources, targets, and transformations.
  • Serve as the **technical anchor** for first-of-kind deployments at each client.
  • Ensure clients see measurable value from agent-driven automation (SLA reduction, pipeline acceleration, DQ uplift, migration speed).
  • Provide hands-on support across discovery, configuration, runbooks, and UAT.
  • Work with product engineering on integrating new GenAI agents into client pipelines.
  • Tailor agent behaviors, triggers, and workflows for domain-specific use cases.
  • Share field insights that shape our agent roadmap.
  • Act as the “voice of the customer” for the EXLdata.ai product team.
  • Identify enhancements, feature gaps, and new accelerator ideas.
  • Participate in internal sprints, tooling improvements, and platform hardening.
  • Support deployments in EXL-hosted private cloud environments.
  • Serve as the first line of operational excellence for premium clients.
  • Lead operational reliability, monitoring, and support SLAs. 🎯 Requirements
  • 6–12+ years as a **Senior Data Engineer**, Forward Deployment Engineer, or Platform Engineer.
  • Strong hands-on experience with **at least one hyperscaler** (AWS or Azure or GCP).
  • Deep expertise in:
  • **PySpark**, SQL, Python
  • **Databricks / Snowflake** (one mandatory, both preferred)
  • Cloud data services (Kinesis, Glue, Redshift, Synapse, BigQuery, DataProc, etc.)
  • Kubernetes, Docker, CI/CD
  • IAM, VPC, private networking, secrets, API management
  • Demonstrated ability to **work directly with client engineering teams**.
  • Comfortable running design discussions, debugging sessions, and deployment workshops.
  • Strong communication skills; able to simplify technical topics for business audiences.
  • Ability to operate independently with a **consulting mindset and ownership mentality**.
  • Exposure to LLMs, agent tooling (LangChain, LangGraph, CrewAI, etc.), or willingness to learn fast.
  • Strong interest in how AI can automate data engineering and governance.
  • “Can-do” attitude; thrives in ambiguity.
  • Fast learner; bias for action.
  • Team player who collaborates across product, engineering, and client teams.
  • Customer-first orientation and passion for delivering measurable outcomes. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior DevOps Engineer 🔥 1 hour ago Fortive 10,000+ employees 🏢 Enterprise ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Senior DevOps Engineer at Intelex Technologies, building and operating cloud-native systems. Driving operational excellence and improving deployment velocity with automation and CI/CD practices. 🏢🏡 Bengaluru – Hybrid 💰 Post-IPO Equity on 2020-03 ⏰ Full Time 🟠 Senior ⛑ DevOps & Site Reliability Engineer (SRE) AWS Cloud Docker Jenkins Linux MS SQL Server Oracle Postgres Python ServiceNow SQL Terraform DevOps Pipeline Engineer 🔥 14 hours ago Eyeline 501 - 1000 📱 Media 🥽 AR/VR Website LinkedIn All Job Openings Pipeline Engineer at Eyeline creating and maintaining automated build and deployment pipelines for visual effects projects in a hybrid role based in Hyderabad. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior ⛑ DevOps & Site Reliability Engineer (SRE) Ansible Cloud Docker Python Terraform Site Reliability Engineer 🔥 15 hours ago Thomson Reuters 10,000+ employees 💸 Finance 📱 Media ☁️ SaaS Website LinkedIn All Job Openings Site Reliability Engineer supporting and operating cloud-native services on AWS for Thomson Reuters. Collaborating with global teams, automating infrastructure, and implementing monitoring solutions. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior ⛑ DevOps & Site Reliability Engineer (SRE) AWS Cloud Docker Terraform Site Reliability Engineer 🕒 Yesterday Equifax 10,000+ employees Website LinkedIn All Job Openings Site Reliability Engineer responsible for uptime and reliability of cloud-native and hybrid systems at Equifax. Building infrastructure as code and CI/CD pipelines for application deployment and management. 🏢🏡 Pune – Hybrid 💰 $1M Post-IPO Equity on 2009-09 ⏰ Full Time 🟡 Mid-level 🟠 Senior ⛑ DevOps & Site Reliability Engineer (SRE) Ansible AWS Chef Cloud Docker Google Cloud Platform Java JavaScript Jenkins Kubernetes Linux Node.js Python Terraform Go Senior DevOps Engineer 🕒 2 days ago Vendavo 201 - 500 Website LinkedIn All Job Openings CloudOps SRE ensuring reliability and efficiency of Vendavo’s cloud services. Collaborating with development and operations teams on Azure and AWS infrastructure management. 🏢🏡 Bengaluru – Hybrid 💰 Secondary Market on 2013-09 ⏰ Full Time 🟠 Senior ⛑ DevOps & Site Reliability Engineer (SRE) Ansible AWS Azure Chef Cloud Distributed Systems Grafana Jenkins Linux Prometheus Python TCP/IP Terraform Unix View More DevOps Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools
PySparkSQLPythonDatabricksSnowflakeKubernetesDockerCI/CDIAMCloud data services
Soft Skills
strong communication skillsconsulting mindsetownership mentalityability to operate independentlyteam playercustomer-first orientationcan-do attitudefast learnerbias for actioncollaboration