Dev Ops and Cloud Engineer, Associate

BlackRockAtlanta, GA
1d$125,000 - $170,000Hybrid

About The Position

About this role BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. Job Summary Are you interested in building innovative technology that shapes financial markets? Do you like working at the speed of a startup but want to tackle complex problems? Do you want to work with, and learn from, hands-on leaders in technology and finance? Research Solutions is looking for a talented, ambitious engineer to grow and expand the Platform Engineering team. The team was created to help global research teams focus on alternative data as a new channel for insight. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. You will be responsible for aspects of the design, development, reliability, scalability, and observability of our platform. We’re looking for a hands-on Cloud / DevOps Engineer with strong experience designing, building, and operating cloud infrastructure using Terraform (IaC). You’ll strengthen our security posture, improve reliability and observability, and automate repeatable operational workflows. Python will be used primarily to build maintainable automations, lightweight services, and tooling (with good tests) that improve developer productivity. Experience using AI-assisted development tools to accelerate delivery and improve quality is a plus.

Requirements

  • 2–5 years of experience in Cloud / DevOps / Platform Engineering.
  • Strong hands-on experience with cloud infrastructure (GCP, AWS, and/or Azure); at least some exposure to GCP preferred.
  • Proven experience with Terraform for infrastructure provisioning and lifecycle management (modules, remote state, environment patterns).
  • Experience building reliable automation/tooling in Python (maintainable code, testing, packaging basics).
  • Solid troubleshooting and problem-solving skills across infrastructure and production systems.
  • Strong collaboration and communication skills; ability to work with both technical and non-technical partners.
  • Practical experience using AI tools in software development (e.g., GitHub Copilot, Windsurf, Claude Code) to improve quality and delivery.

Nice To Haves

  • CI/CD experience (e.g., Azure DevOps, GitHub Actions, GitLab CI) and release automation.
  • Kubernetes experience (e.g., GKE/EKS/AKS) and containerization (Docker, artifact registries).
  • Security and compliance familiarity (least privilege IAM, secrets management, policy-as-code).
  • Observability tooling experience (cloud logging/monitoring, alerting, dashboards).

Responsibilities

  • Design, build, and maintain cloud infrastructure (e.g., GCP/AWS/Azure) using Terraform (IaC).
  • Build and maintain infrastructure automations, operational tooling, and lightweight services using Python (and occasional Bash).
  • Improve and enforce best practices for security (IAM, secrets, least privilege), reliability, observability, and cost optimization.
  • Partner with software engineers, SRE/DevOps, and stakeholders to deliver platform capabilities and support application teams.
  • Troubleshoot complex production and infrastructure issues; perform root cause analysis; implement preventative fixes and runbooks.
  • Improve engineering workflows via automation and modern SDLC practices (CI/CD, testing, linting, code review standards).
  • Drive responsible adoption of AI-assisted development practices (e.g., code generation, test creation, refactoring support, docs automation) with appropriate guardrails.

Benefits

  • employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
  • strong retirement plan
  • tuition reimbursement
  • comprehensive healthcare
  • support for working parents
  • Flexible Time Off (FTO)
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