11+ IBM Sterling Commerce Jobs in Kochi (Cochin) | IBM Sterling Commerce Job openings in Kochi (Cochin)

·      A thoroughly experienced OMS resource with preference to Blue Yonder OMS and good exposure in building custom microservices as extension points to OMS possessing good cloud knowledge.

·      Extensive backend development knowledge with core Java/J2EE and Microservice based event driven architecture with a cloud based architecture (preferably AWS)

·      Should be cognizant of key integrations undertaken in eCommerce and associated downstream subsystems which should include but not limited to different Search frameworks, Payment gateways, Product Lifecycle Management Systems, Loyalty platforms, Recommendation engines, Promotion frameworks etc.

·      Recommend someone having a good knowledge of integrations with downstream eCommerce systems like OMS, Store Systems, ERP etc.

·      Any additional knowledge on OMS and Store domains will be additional advantage.

·      Experience in Service Oriented Architecture - Developing/securely exposing/consuming Web Services – RESTful and integrating headless applications.

·      Should be able to understand system end-end, maintain application and troubleshoot issues.

·      Good understanding of Data Structures and Entity models.

·      Should have understanding of building, deploying and maintaining server based as well as serverless applications on cloud, preferably AWS.

·      Expertise in integrating synchronously and asynchronously with third party web services.

·      Good to have concrete knowledge of AWS Lambda functions, API Gateway, AWS.

·      CloudWatch, SQS, SNS, Event bridge, Kinesis, Secret Manager, S3 storage, server architectural models etc.

·      Knowledge on any major eCommerce / OMS platforms will have added advantage.

·      Must have a working knowledge of Production Application Support.

·      Good knowledge of Agile methodology, CI/CD pipelines, code repo and branching strategies preferably with GitHub or Bitbucket.

·      Good knowledge of observability tools like NewRelic , DataDog, Graphana, Splunk etc. with knowledge on configuring new reports, proactive alert settings, monitoring KPIs etc.

·      Should have a fairly good understanding of L3 support processes, roles and responsibilities.

·      Should work closely with counterparts in L1/L2 teams to monitor, analyze and expedite issue resolutions, reduce stereoptypes, automate SoPs or find avenues for the same by being proactive.

Should be flexible to work with overlap with some part of onsite (PST) hours as part of various client meetings and hand offs with Alo client leadership team

We are looking for a skilled Java Full Stack Developer with 5+ years of experience in designing and developing scalable web applications. The ideal candidate should have strong expertise in Java, Spring Boot, Angular, and AWS, along with experience building RESTful APIs and cloud-based applications.

Key Responsibilities

• Develop and maintain scalable backend services using Java 8/11/17 and Spring Boot.
• Build responsive front-end applications using Angular.
• Design and develop RESTful APIs and integrate with third-party services.
• Deploy and manage applications on AWS.
• Work with relational databases and write optimized SQL queries.
• Collaborate with cross-functional teams in an Agile environment.
• Write clean, maintainable, and testable code.
• Troubleshoot, debug, and optimize application performance.

Required Skills

• 5+ years of experience in Java development.
• Strong experience with Java, Spring Boot, and Microservices.
• Hands-on experience with Angular (v10+).
• Experience with AWS services (EC2, S3, RDS, Lambda, ECS/EKS, CloudWatch, IAM, etc.).
• Strong knowledge of REST APIs.
• Experience with SQL (MySQL/PostgreSQL) and ORM frameworks such as Hibernate/JPA.
• Knowledge of Git, Maven/Gradle, and CI/CD pipelines.
• Familiarity with Docker and Kubernetes is a plus.
• Good understanding of Agile/Scrum methodologies.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Manual Tester with Airlines Cargo domain experience

•       Experience: 5–12 Years

•       Locations: Chennai, Bangalore, Trivandrum, Cochin

•       Notice Period: Immediate to <30 days

Skillset and Responsibilities of Agile QA

Skillset:

• Experienced test analyst or consultant with 6-10 years of experience in software testing

• Robust knowledge and prior experience in Airline Cargo domain

• Prior work experience in Agile scrum or SAFe 

• Experience in requirement understanding and user story grooming 

• Ability to understand the functionality of the application under test

• Testing Tools: Microfocus ALM, JIRA, ReadyAPI, Enterprise Architect

• Prior experience in backend service testing with ReadyAPI or Postman, API debugging/root cause analysis

• Working knowledge of microservice architecture and cloud database

• Working knowledge of CI/CD pipeline (GIT etc)

• Working experience in defect management process and tools 

• Working knowledge or experience in automation tools (Cypress, Selenium) will be nice to have

 Responsibilities:

 • Define the functional and technical approach to the implementation of the tests

• Help estimate the scope and size of the testing effort for each user story/product backlog within the PI Planning

• Analyze user stories and design/develop Test Models and Test cases

• Review test model and test cases with BA / Product Owner

• Develop backend test suites in readyAPI for user story testing 

• Identify frontend regression test cases and handover to TA team for automation

• Develop and maintain automated test suites for microservices 

• Execute automated backend regression test suites in pipeline for iterations and PROD releases

• Analyze of test results, defect logging and retest

• Work closely with developers to assess and advise on testability

• Test throughout the sprint

• Work collaboratively and productively with the product owner /Business owner and the customer to form acceptance criteria, Help to define definition of done (DoD)

• Present tested feature within iteration reviews and system demos 

• Attend and actively participate in PI Plannings  

• Participate all sprint planning , pre- and post sprint release ceremonies

• Meet with developers and BAs for short hand-off demonstrations and share the iteration demos with the devs 

• Attend sprint retrospectives and ART retrospectives 

• Help in Determining and advising which tests should be automated at which layer

• Help the developers or the TA team in writing automated tests and analyze the results of the automated tests

Job Summary:

Seeking an experienced Senior Data Engineer to lead data ingestion, transformation, and optimization initiatives using the modern Apache and Azure data stack. The role involves working on scalable pipelines, large-scale distributed systems, and data lake management.

Core Responsibilities:

· Build and manage high-volume data pipelines using Spark/Databricks.

· Implement ELT frameworks using Azure Data Factory/Synapse Pipelines.

· Optimize large-scale datasets in Delta/Iceberg formats.

· Implement robust data quality, monitoring, and governance layers.

· Collaborate with Data Scientists, Analysts, and Business stakeholders.

Technical Stack:

· Big Data: Apache Spark, Kafka, Hive, Airflow, Hudi/Iceberg

· Cloud: Azure (Synapse, ADF, ADLS Gen2), Databricks, AWS (Glue/S3)

· Languages: Python, Scala, SQL

· Storage Formats: Delta Lake, Iceberg, Parquet, ORC

· CI/CD: Azure DevOps, Terraform (infra as code), Git

Senior Data Engineer (Apache Stack + Databricks/Synapse)

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

- Good understanding of NODE JS back-end development

- Strong understanding of Node.js and frameworks available for it

- Understanding of front-end technologies, such as React/Angular, HTML and CSS3
-Solid understanding of object-oriented development and design patterns.

- Good experience with AJAX, REST and JSON

- Experience with development practices such as Test-Driven Development and Continuous Integration
-Experience in Version Control Systems like GIT, Bitbucket
- Must have good problem solving and analytical skills.

- Must be a team player, having good communication skills, self-starter

- Ability to pick up new technology is needed.

• Calling potential customers to explain company products and encourage purchases.
• Answering customers' questions and escalating complex issues to the relevant departments as needed.
• Developing in-depth knowledge of company products.
• Maintaining an accurate record of all sales, scheduled customer appointments, and customer complaints.
• Collaborating with the marketing department to ensure that the company is reaching its target audience.
• Informing product developers of possible product improvements and changes to ensure that company products meet current market needs.
• Preparing cost-benefit analyses for prospective and existing customers to determine the most suitable purchase options.
• Analyzing competitors' products to determine product features, benefits, shortfalls, and market success.

Responsibilities:

• Writing clean, high-quality, high-performance, maintainable code
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements
• Responsible for the product development and maintenance
• Analyze and resolve performance bottlenecks

Requirements:

• A  self-motivated, multi-tasker, and demonstrated team-player.
• 3+ Years of experience in Web Application Development
• Should excel in working with large-scale applications and frameworks

• Expert in Programming using Angular 8/10/11, Web API
• Should have knowledge in Relational and Non-Relational databases (NO SQL).
• Strong knowledge of SDLC methodologies – Agile/Scrum
• Very good development skills in front end technologies/javascript libraries like angular etc.
• Good understanding of Object-Oriented Programming, Design Concepts & Unit Testing
• Good understanding of Web Security Concepts

Daily monitoring of Quantum's processes to ensure file transmissions to and from the system

• Ensure that any Quantum production issues with an emphasis on the modules ( Cash Management, Bank Reconciliation, Foreign Exchange, I/C loans, Money Market, Investments, etc.) are resolved on time
• Actively working with Quantum and internal IT teams to resolve issues with bank files and data transmissions between Quantum and other systems including retrieval of market rates