Specialist - Software Engineering

Role description

Job Description:

Key Responsibilities:

Design develop and optimize backend services for card payments and transaction systems ensuring low latency fault tolerance and multiregional resiliency.

Build high through put APIs and microservices using modern Java frameworks Spring Boot Reactor

Collaborate closely with product architecture and SRE teams to evolve Vision Next Vision PLUS services for cloud native real time scalability.

Use AWS services ECS Lambda RDS to architect resilient secure and observable applications.

Write efficient algorithms for transaction routing settlement reconciliation or fraud detection modules

Contribute to system design sessions and architecture decisions applying deep reasoning to scalability trade offs consistency models and data partitioning.

Evaluate and optimize application throughput concurrency handling and API lifecycle management across multi region clusters.

Implement DevOps and CICD automation for build test and deployment pipelines GitHub Actions Jenkins or Code Pipeline.

Mentor junior engineers conduct code reviews and drive engineering excellence through reusable design patterns.

Required Qualifications:

Bachelors or Masters degree in Computer Science or related field.

7 years of backend engineering experience in payments fintech or high transaction enterprise systems

Strong proficiency with Java Spring Boot data structures algorithms and

system level design principles.

Solid understanding of
AWS core services and architectural best practices
for scalable distributed systems.

Experience with multi region active or near real time architectures for payment or settlement systems.

Deep debugging profiling and performance optimization skills in concurrent distributed environments.

Strong analytical reasoning and data driven problem-solving mindset.

Preferred Qualifications

Expertise in Python programming for backend development and automation.

Experience with Vision Next or Vision PLUS modules CMS ASM or TRAMS or other card processor platforms.

Familiarity with payment rails Visa Mastercard RTP ACH and transaction lifecycle management.

Knowledge of Kafka Redis or Aerospike for event driven processing and caching.

Exposure to container orchestration ECS EKS or Kubernetes and observability platforms Grafana Datadog or Open Telemetry.

Understanding of PCIDSS data encryption and regulated financial data operations.

Other details

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.

Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer
: The compensation and benefits information provided herein is accurate as of the date of
this posting.
LTIMindtree
is an equal opportunity employer that is committed to diversity in the workplace. Our
employment decisions are made without regard to race, color, creed, religion, sex (including
pregnancy, childbirth or related medical conditions), gender identity or expression, national origin,
ancestry, age, family-care status, veteran status, marital status, civil union status, domestic
partnership status, military service, handicap or disability or history of handicap or disability, genetic
information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation
or preference, or any other characteristic protected by applicable federal, state, or local law, except
where such considerations are bona fide occupational qualifications permitted by law.