Senior Programmer Analyst Core Java, Containerization & Cloud-Assistant Vice President

Senior Programmer Analyst Core Java, Containerization & Cloud-Assistant Vice President

Job Req :

Location:

Pune, Maharashtra, India

Job Type: On-Site/Resident

Posted:
Mar. 05, 2026

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

• Lead the architecture, design, and development of highly scalable, resilient, and performant applications using Core Java. This includes deep expertise in data structures, multithreading, memory management, and performance optimization.
• Conduct comprehensive feasibility studies, provide accurate time and cost estimates, and contribute to IT planning for cloud-native solutions, ensuring optimal integration of containerization strategies.
• Drive all phases of the software development lifecycle (SDLC) for Java-based, containerized applications deployed on cloud platforms, encompassing meticulous analysis, architectural design, efficient development, rigorous automated testing, and seamless deployment.
• Provide expert operational support, advanced troubleshooting, and proactive performance tuning for mission-critical applications within containerized and cloud environments.
• Utilize in-depth expertise in Core Java (data structures, multithreading, memory management, performance optimization), containerization (Docker, Kubernetes), and cloud computing to analyze and resolve complex technical problems, evaluate existing system architectures, and make critical design decisions.
• Architect and implement robust security measures for Java applications, containerized environments, and cloud infrastructure, ensuring adherence to industry best practices, regulatory requirements, and internal security policies.
• Consult with internal clients and other technology groups, recommending advanced Core Java programming solutions, sophisticated containerization techniques, and strategic cloud service adoptions to meet evolving business needs.
• Define and enforce engineering standards and best practices for Core Java development, including efficient use of data structures, multithreading patterns, memory footprint reduction, and JVM tuning. Establish guidelines for container image optimization, deployment strategies, and cloud resource management.
• Serve as a technical mentor and coach to junior engineers, fostering expertise in Core Java, data structures, multithreading, containerization, and cloud development principles.
• Operate with a high degree of independence and autonomy, exercising sound judgment in complex technical and architectural decisions.
• Act as a Subject Matter Expert (SME) to senior stakeholders and other team members on all aspects of Core Java, data structures, multithreading, memory management, performance optimization, containerization, and cloud technologies.
• Proactively assess and mitigate technical risks associated with Core Java application development, containerization, and cloud deployments, ensuring compliance with applicable laws, rules, regulations, and internal policies, thereby safeguarding the firm’s assets and reputation.

• 8+ years of extensive experience in software development, with a significant focus on Core Java, containerization, and cloud platforms.
• Expert-level proficiency in Core Java development, including advanced concepts such as:
  • Data Structures and Algorithms:
    Deep understanding and practical application for solving complex computational problems.
  • Multithreading and Concurrency:
    Extensive experience designing and implementing concurrent applications, understanding synchronization primitives and concurrent data structures.
  • Memory Management:
    Strong knowledge of JVM memory model, garbage collection algorithms, heap analysis, and memory leak detection/prevention.
  • Performance Optimization:
    Proven ability to identify bottlenecks, tune JVM, optimize code, and improve application throughput and latency.
• Extensive hands‑on experience with containerization technologies (e.g., Docker) and container orchestration platforms (e.g., Kubernetes).
• Proven experience with at least one major public cloud provider (e.g., AWS, Azure, GCP), including practical experience with:
  • IaaS, PaaS, and FaaS offerings (e.g., EC2, Lambda, S3, Azure Functions, Google Cloud Run).
  • Cloud networking, security, and monitoring services.
  • Implementing Infrastructure as Code (e.g., Terraform, Cloud Formation).
• Strong understanding of distributed systems, microservices architecture, and event-driven patterns.
• Proficiency with streaming frameworks like Apache Kafka.
• Solid experience with Linux operating systems, SQL/No
  
  SQL databases, and scripting languages (e.g., Python, Bash).
• Demonstrated experience with CI/CD pipelines and Dev Ops practices for automated deployments in cloud and…