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Where Ambition Meets Innovation At LPLs Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. Were proud to be expanding and reaching new heights in Hyderabad. Join us as we create something extraordinary together. Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, youll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals. LPL's Delivery team is the Cloud Center of Excellence's internal professional-services crew the engineers who parachute in with white-glove service to get applications to the cloud fast. As Engineer 2, Cloud Delivery Engineer, you'll staff Experience-Based Acceleration (EBA / SBA) and other acceleration events, partner with lean application teams, and build Terraform that operationalizes AWS services and third-party platforms like Confluent Kafka and Kong. If you like shipping real workloads to the cloud with a globally distributed team across the US and India, this is your seat. Job Overview:As the Engineer 2, Cloud Delivery Engineer, you are a hands-on mid-level cloud engineer in the Delivery team within LPL's Cloud Center of Excellence (CCOE). Delivery is CCOE's internal professional-services team: it staffs Experience-Based Acceleration (EBA / SBA) and other acceleration events with white-glove delivery support, partners with less-funded application teams to get their workloads onto the AWS cloud, and engineers Infrastructure-as-Code solutions that operationalize AWS services and third-party platforms (for example, Confluent Kafka and Kong). You also help migrate application workloads into the multi-account landing zone. LPL is an AWS-first CCOE: a multi-account landing zone with 100+ private reusable Terraform modules that enable 60+ AWS services, all delivered through Terraform Cloud and GitHub Actions. You partner with the Platforms and Containers teams, the Support team, and the Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring), and you spend the majority of your time hands-on in Terraform and delivery work across LPL's US offices and India Global Capability Center (GCC) leaving the teams you help able to run what you built together. Responsibilities:Deliver white-glove cloud delivery support during Experience-Based Acceleration (EBA / SBA) and other acceleration events embedding with application teams to land workloads on AWS quickly and correctlyPartner with less-funded / lean application teams to deliver their applications to the cloud: reference-architecture guidance, hands-on Terraform, and pairing that leaves the team able to run what you built togetherEngineer Infrastructure-as-Code solutions that operationalize AWS services turning a raw AWS capability into a paved, reusable path consumable through the private Terraform module libraryOperationalize third-party systems on AWS (for example, Confluent Kafka and Kong) as Terraform-managed, supportable building blocks with clear runbooks and hand-off to the Support and Containers teamsSupport migrations of application workloads into the multi-account landing zone coordinating cutover, validation, and hand-offEmbed agentic AI capabilities into the team's engineering practice (e.g., Cursor, Claude Code, Bedrock, MCP servers, agentic IaC and review workflows) and into the platform's self-service experience for internal customersUse agentic AI capabilities to accelerate delivery: AI-assisted Terraform authoring and refactoring, reference-pattern scaffolding, migration discovery and documentation, and MCP-driven self-service so the teams you help can keep moving after you rotate offOperate as a hands-on mid-level cloud engineer in the pod: spend the majority of your time in Terraform code, AWS console / CLI, design documents, peer code review, and incident response execution and growth are the primary leverage pointsPersonally participate in 24x7 on-call rotations as a primary responder for production incidents within the pod's scope; grow into senior responder framing over time with support from AVPs and VPsConsume the private Terraform module library and reference patterns to ship application-aligned infrastructure; raise small, well-scoped pull requests against shared modules and the Account Factory for Terraform (AFT) foundational base layer to improve what you usePartner with peer engineers, AVPs, and VPs across the Cloud Center of Excellence the five CCOE teams .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.