Java Lead Engineer

We're seeking a seasoned Java Lead to spearhead the development of microservices-driven applications using Spring Boot. You'll architect end-to-end solutions, orchestrate CI/CD pipelines, manage scheduling via Autosys, mentor engineers, and ensure clean code leveraging data structures & algorithms best practices.

Key Responsibilities

• Architecture & Development

• Lead design and build of high-performance Java microservices using

  Spring Boot

  , REST/gRPC. in.indeed.com+10in.jooble.org+10builtin.com+10
• Create scalable system designs, including C4/landscape diagrams, multi-threaded services, and in-memory data structures. builtin.com
  
• Utilize data structures and algorithms to optimize performance on compute-intensive workflows.
  

• Batch & Scheduling (Autosys)

• Design and maintain robust batch job workflows using

  Autosys

  , coordinating with microservices.

• CI/CD & DevOps

• Build and maintain CI/CD pipelines with

  Jenkins

  , Git/GitLab, or similar tools. careers.cognizant.com
• Containerize services with

  Docker

  , orchestrate deployments with

  Kubernetes

  (AWS/GCP/Azure/OpenShift).
• Ensure environments are consistent from development to production.
  

• Mentorship & Leadership

• Mentor a team of engineers, lead code review efforts, and establish coding standards.
  
• Liaise with onshore/offshore teams and stakeholders throughout the SDLC.
  

• Scheduling & Autosys

• Define and monitor Autosys jobs for batch processes, ensuring reliability and correct timing.
  

Required Skills & Experience

• Java & Spring

  : 8+ years in core Java (11+), Spring MVC/Boot, multithreading, Collections, concurrency, OOP, data structures & algorithms. karkidi.com+11timesascent.com+11cutshort.io+11hireitpeople.combuiltin.com+4builtin.com+4sateeshm.com+4

• Microservices

  : Architectural patterns, inter-service communication, resilience, high availability.

• Scheduling

  : Hands-on with

  Autosys

  or similar workload automation tools.

• CI/CD Tooling

  : Jenkins, Git/GitLab/BitBucket; familiarity with TeamCity, GoCD is a plus.

• Containers & Orchestration

  : Docker and Kubernetes; experience with cloud platforms (AWS, Azure, GCP, or OpenShift).

• Batch Frameworks

  : Spring Batch, JMS, ActiveMQ or Kafka.

• Databases

  : Skilled in SQL (Oracle/MySQL/PostgreSQL) and NoSQL (MongoDB/Cassandra/DynamoDB).

• Data Structures & Algorithms

  : Strong knowledge for writing efficient and optimized code.

Nice-to-Have

• Cloud Certifications

  (AWS, Azure, GCP)
• Experience with

  Autosys

  job scheduling is a plus
• Familiarity with monitoring/logging tools (ELK, DataDog, Prometheus)
  
• Exposure to front-end (Angular/React), though not mandatory
  
• Knowledge of batch architecture best practices and ETL patterns
  

Qualifications

• Bachelors or Masters in Computer Science or related
  
• Minimum 8–12 years of software engineering experience
  
• Proven leadership managing technical teams