Engineer Senior Analyst - Assistant Vice President

Citigroup Inc.; Pune District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Citigroup Inc. in Pune seeks an Engineer Sr Analyst to architect and deliver scalable microservices using Core Java, Spring Boot, and container platforms such as OpenShift and Kubernetes, driving modernization and enterprise AI initiatives.

You will lead DevOps adoption and CI/CD automation, oversee platform reliability, and collaborate with Agile teams to define roadmaps while ensuring secure coding practices across the SDLC.

Qualifications

• 5–8 years of experience building scalable microservices and end-to-end solution architecture.
• Strong experience with Core Java, Spring Boot, React/Angular, and Kubernetes/OpenShift/ECS.
• Proficient in CI/CD pipelines and security guardrails.
• Familiarity with AI tooling and enterprise platforms.

Responsibilities

• Define and deliver end-to-end solution architecture for enterprise products.
• Lead platform modernization and enterprise AI initiatives.
• Drive CI/CD automation and DevOps adoption across SDLC.
• Ensure security, compliance, and governance across platforms.
• Collaborate with Agile teams using JIRA/Confluence.

Skills

Core Java

Spring Boot

React/Angular

Kubernetes/OpenShift/ECS

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Bitbucket

Jenkins

Artifactory

SonarQube

Renovate

Job description

Job Overview

The Engineer Sr Analyst is an intermediate level position responsible for a variety of engineering activities including technical leadership, solution architecture, and development solutions across Java DevOps, ECS, OpenShift, and Kubernetes environments to meet critical business requirements using cutting‑edge technologies. The candidate will deliver scalable microservices using the Spring Boot framework, drive enterprise‑wide adoption of DevOps and CI/CD frameworks, and spearhead platform modernization and strategic Enterprise AI initiatives.

Responsibilities

• Define and deliver solution architecture and end-to-end engineering for enterprise products using microservices and containerized environments (OpenShift/Kubernetes/ECS).
• Drive enterprise adoption of strategic AI initiatives and next‑gen frameworks, including the rollout of developer copilots and the architectural design of Model Context Protocol (MCP) tools across platforms like DB Pitstop, Friday.ai, and Devin.
• Lead the platform modernization of Database Automation and Self‑Service platforms (DB Pitstop, Autobahn, DBCTScan) by implementing modern tech stacks, adopting the ICG DS frontend framework, and ensuring operational reliability.
• Drive the product ownership, architecture, and service delivery of the LightSpeed platform, seamlessly integrating Autobahn, DBCTScan, and DB Pitstop components.
• Provide technical leadership for MongoDB self‑service capabilities within DB Pitstop, replacing legacy complex query workflows with reusable, structured pipeline frameworks.
• Design and scale distributed scheduling and messaging capabilities across automation platforms leveraging Apache Kafka.
• Serve as Service Owner for development guardrails and security compliance across the platform ecosystem, driving adoption of Renovate, Sonar, Coin Tokenization, and Automated Testing Frameworks.
• Drive CI/CD automation and adoption across the SDLC using Bitbucket, Jenkins, Artifactory, and JIRA agile methodologies.
• Define product roadmaps for new features, balance technical debt with innovation, and drive high‑velocity delivery.
• Champion industry best practices for secure coding, vulnerability management, automated testing, and comprehensive SDLC compliance.

Qualifications:

• 5–8 years of experience building scalable microservices and delivering end-to-end solution architecture using Core Java, Spring Boot, React/Angular, and Kubernetes/OpenShift/ECS.
• Proven experience in platform modernization, enterprise UI design systems (e.g., ICG DS), and distributed messaging/scheduling with Apache Kafka.
• Strong hands‑on experience with MongoDB (query optimization, pipeline framework design, self‑service enablement) and relational databases (Oracle, PostgreSQL).
• Hands‑on expertise in CI/CD pipeline automation (Bitbucket, Jenkins, Artifactory) and security guardrails (SonarQube, Renovate, Tokenization, automated testing frameworks).
• Familiarity with Enterprise AI tools, code copilots, Model Context Protocol (MCP), and secure web/API protocols (OAuth, JWT, SSL/TLS).
• Proven track record in product ownership, driving technical direction, and collaborating across Agile teams using JIRA/Confluence.

Education:

• Bachelor’s/University degree or equivalent experience in Computer Science, Engineering, or related technical field.

Job Family Group:

Technology

Job Family:

Systems & Engineering

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

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