Website:
lplfinancial.in
Job details:
Where Ambition Meets Innovation
At LPL’s 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. We’re 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, you’ll 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 correctly
- Partner 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 together
- Engineer Infrastructure-as-Code solutions that operationalize AWS services — turning a raw AWS capability into a paved, reusable path consumable through the private Terraform module library
- Operationalize 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 teams
- Support migrations of application workloads into the multi-account landing zone — coordinating cutover, validation, and hand-off
- Embed 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 customers
- Use 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 off
- Operate 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 points
- Personally 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 VPs
- Consume 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 use
- Partner with peer engineers, AVPs, and VPs across the Cloud Center of Excellence — the five CCOE teams (Foundations, Platforms, Containers, Support, Delivery) and the five Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring) — to deliver pod outcomes; ask for help early and pass what you learn on to peers
- Apply the AWS Well-Architected Framework in the work you touch and drive continuous improvement against operational, security, reliability, performance, cost, and sustainability outcomes
- Participate fully in Agile / Scrum ceremonies (sprint planning, standups, backlog grooming, retrospectives) with the pod's embedded Scrum Master and partner with the enterprise EPMO / RTE on delivery commitments and dependencies
- Pursue and maintain the Engineer 2 certification path per the CCOE certification matrix — AWS Certified Developer – Associate, HashiCorp Certified: Terraform Associate (004), Kubernetes and Cloud Native Associate (KCNA), and Certified Kubernetes Application Developer (CKAD) — progressing toward Senior Engineer over time
What are we looking for?
We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements
- 3+ years of progressive technical experience in cloud infrastructure, platform engineering, or software engineering; Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent work experience)
- 1+ years of hands-on production AWS in a multi-account environment with hands-on production Terraform delivered through Terraform Cloud and GitHub Actions; comfort consuming a private Terraform module library and raising well-scoped pull requests against shared modules
- Demonstrated track record of owning meaningful, well-scoped engineering work end-to-end under senior guidance — design, implementation, code review participation, and follow-through
- Experience participating in 24x7 production on-call rotations as a primary responder in a fast-paced, security-conscious environment (financial services preferred)
- Hands-on experience delivering application workloads to AWS in a consulting, professional-services, or platform-delivery capacity — including Infrastructure-as-Code delivery and, ideally, operationalizing a managed AWS service or a third-party system (e.g., Kafka, Kong, or similar) as reusable IaC
Core Competencies
- Strong growth mindset — actively pursues the Engineer 2 certifications in the CCOE certification matrix and uses each incident, code review, and design discussion as a learning loop
- Bias toward shipping high-quality, well-tested, code-reviewed work; leaves the codebase a little better than they found it
- Asks for help early when stuck and writes down what they learn for the next engineer
- Calm primary responder during incidents; pages an AVP or VP early rather than struggling alone
- Continuous learner in cloud-native, IaC, and applied AI
- Builds high-trust relationships with peer engineers across the US and India / GCC
- Excellent written and verbal communication; can articulate what they changed and why in a clear pull request description
Preferences
- On the Engineer 2 certification path per the CCOE certification matrix: AWS Certified Developer – Associate
- On the Engineer 2 certification path per the CCOE certification matrix: HashiCorp Certified: Terraform Associate (004)
- On the Engineer 2 certification path per the CCOE certification matrix: Kubernetes and Cloud Native Associate (KCNA)
- On the Engineer 2 certification path per the CCOE certification matrix: Certified Kubernetes Application Developer (CKAD)
- Experience using agentic AI / GenAI tooling (Cursor, Claude Code, Copilot, Bedrock, MCP) in day-to-day engineering work
- Strong scripting proficiency in Python, Bash, or PowerShell
- Experience working with globally distributed teams across the US and India / GCC
- AWS Certified Cloud Practitioner (CCP) as a stepping stone toward Developer – Associate
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