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Job Description & How to Apply Below
About Us
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
Global Business Services
Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.
Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.
In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.
Process Overview.
The Data Analytics Strategy platform and decision tool team is responsible for Data strategy for entire CSWT and development of platforms which supports the Data Strategy. Data Science platform, Graph Data Platform, Enterprise Events Hub are key platforms of Data Platform initiative.
Job Description .
Dev Ops Engineer Strong technical expertise in defining CI/CD strategy and implementation for large scale applications. Having proven experience in designing, building and maintaining scalable CI/CD pipelines across multiple environments. Adept in working across teams in standardizing CI/CD best practices and driving adoption. Leveraging Open Shift (or other Kubernetes distributions) as the core container orchestration layer, you'll build a scalable and secure infrastructure vital for ML workloads and shared services.
This role is key to establishing a robust hybrid architecture, paving the way for seamless future migration to AWS, Azure, or GCP. This individual will closely with data scientists, MLOps engineers, and platform teams to enable efficient model development, versioning, deployment, and monitoring within a multi-tenant environment .
Responsibilities.
Responsible for developing risk solutions to meet enterprise-wide regulatory requirements.
Performs Monitoring and managing of large systems/platforms efficiently.
Contributes to story refinement and definition of requirements.
Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.
Mentor team members, advocate best practices, and promote a culture if continuous improvement and innovation in engineering processes.
Develop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams.
Propose/Build variety of efficient Data pipelines to support the ML Model building & deployment.
Propose/Build automated deployment pipelines to enable self-help continuous deployment process for the Data Science teams.
Analyze, understand, execute and resolve the issues in user scripts / model / code.
Perform release and upgrade activities as required.
Well versed in the open-source technology and aware of emerging 3rd party technology & tools in AI-ML space.
Ability to fire fight, propose fix, guide the team towards day-to-day issues in production.
Ability to train partner Data Science teams on frameworks and platform.
Flexible with time and shift to support the project requirements. It doesn't include any night shift.
This position doesn't include any L1 or L2 (first line of support) responsibility
Requirements.
Education.
Graduation / Post Graduation: BE/B.Tech/MCA/MTech
Certifications If Any:
Full Stack Bigdata
Experience Range.
10+ Years
Foundational Skills.
Experience in Dev Ops - Container/Cloud.
Experience with tools such as Terraform, Docker, Kubernetes, Azure key vault.
Knowledge of Helm charts and managing deployments in Kubernetes.
Familiarity with observability tools including but not limited to Prometheus, Grafana
Platform Design & Deployment:
Design and deploy a comprehensive data science tech stack on Open Shift (or other Kubernetes distributions), including support for Jupiter, notebooks, model training pipelines, inference services, and internal APIs.
Cloud-Agnostic Architecture:
Proven…
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