House Of Shipping

Key Responsibilities:

• Create and execute test plans, test cases, and test scripts for Manhattan Active WM.
• Perform functional, regression, integration, and UAT testing.
• Validate system configurations, integrations, and customizations.
• Test end-to-end warehouse processes such as receiving, picking, packing, shipping, and inventory management.
• Log, track, and retest defects using JIRA.
• Collaborate with product owners, developers, and business analysts.
• Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives).
• Prepare test environments and test data.
• Report QA metrics, results, and risks.
• Exposure to Playwright for automation testing is a plus.

Key Responsibilities

• Design, develop, and maintain microservices and APIs running on GKE, Cloud Run, App Engine, and Cloud Functions.
• Build secure, scalable REST and GraphQL APIs to support Our Client front-end applications and integrations.
• Work with the GCP Architect to ensure back-end design aligns with enterprise architecture and security best practices.
• Implement integration layers between GCP-hosted services, AlloyDB, Cloud Spanner, Cloud SQL, and third-party APIs.
• Deploy services using Gemini Code Assist, CLI tools, and Git-based CI/CD pipelines.
• Optimize service performance, scalability, and cost efficiency.
• Implement authentication, authorization, and role-based access control using GCP Identity Platform / IAM.
• Work with AI/ML services (e.g., Vertex AI, Document AI, NLP APIs) to enable intelligent back-end capabilities.
• Collaborate with front-end developers to design efficient data contracts and API payloads.
• Participate in code reviews and enforce clean, maintainable coding standards.

Experience & Qualifications

• 6–8 years of back-end development experience, with at least 3+ years in senior/lead analyst roles.
• Proficiency in one or more back-end programming languages: Node.js, Python, or Java.
• Strong experience with GCP microservices deployments on GKE, App Engine, Cloud Run, and Cloud Functions.
• Deep knowledge of AlloyDB, Cloud Spanner, and Cloud SQL for schema design and query optimization.
• Experience in API development (REST/GraphQL) and integration best practices.
• Familiarity with Gemini Code Assist for code generation and CLI-based deployments.
• Understanding of Git-based CI/CD workflows and DevOps practices.
• Experience integrating AI tools into back-end workflows.
• Strong understanding of cloud security and compliance requirements.
• Excellent communication skills for working in a distributed/global team environment.

Key Responsibilities

• Maintain and update pricing and cost models
• Perform sensitivity and benchmarking analysis
• Support pricing for customer proposals
• Prepare standard and ad-hoc commercial reports
• Collaborate with Sales and Commercial teams to ensure data accuracy

Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, or related field
• 1–3 years of experience in pricing, financial, or sales analytics
• Advanced Excel skills
• Strong analytical and problem-solving abilities

Mandatory Skills (Non-Negotiable)

1. Bachelor’s degree in Finance, Accounting, Economics, or related quantitative field
2. 1–3 years of experience in pricing, financial analysis, or sales analytics
3. Advanced Microsoft Excel (financial modeling, data analysis, pivot tables)
4. Hands-on experience with pricing or cost models
5. Experience preparing standard and ad-hoc reports
6. Strong analytical skills with high attention to detail
7. Ability to work cross-functionally with Sales/Commercial teams

Role Summary

We are looking for a skilled DevSecOps Engineer to design, implement, and secure scalable CI/CD pipelines and cloud infrastructure on Google Cloud Platform. The role focuses on secure application delivery using Cloud Run, GKE, Terraform, and integrated DevSecOps practices to ensure compliance, reliability, and performance.

Key Responsibilities

• Design and manage secure CI/CD pipelines using Cloud Build, Jenkins, or Tekton
• Provision and manage GCP infrastructure using Terraform (IaC)
• Deploy and manage containerized applications on Cloud Run and GKE
• Implement container security, vulnerability scanning, SAST/DAST, and dependency scanning
• Enforce IAM, VPC, and cloud security best practices
• Monitor, log, and troubleshoot environments for performance and reliability
• Enable development teams with DevSecOps frameworks and governance standards

Relevant Skills

• Cloud: Google Cloud Platform (GKE, Cloud Run, IAM, VPC, Cloud Build, Artifact Registry)
• CI/CD Tools: Jenkins, Tekton, Cloud Build
• Infrastructure as Code: Terraform
• Containers & Orchestration: Docker, Kubernetes (GKE)
• Security Tools: Checkmarx (SAST/DAST), FOSSA, container vulnerability scanning tools
• Monitoring & Observability: GCP Operations Suite (Cloud Monitoring & Logging)
• Version Control: Git, branch and release management strategies
• Other: DevSecOps practices, compliance automation, release orchestration

Key Responsibilities:

· Develop and maintain labor standards using MOST, MODAPTS, or similar methodologies to quantify human task effort and cycle time.

· Conduct ergonomic and work-cell analyses to improve safety, efficiency, and repeatability in pick, pack, and replenishment operations.

· Partner with Automation, Layout, and Operations Engineering teams to design workstations, flow zones, and interfaces between humans and robots.

· Model and analyze material flow, bottlenecks, and task allocation to achieve optimal throughput and balance across manual and automated areas.

· Establish standard work documentation, task breakdowns, and motion studies to inform staffing models and productivity tracking.

· Support facility design reviews, ensuring spatial layouts and robot traffic promote seamless material movement and worker safety.

· Provide data-driven insights to influence capacity planning, layout revisions, and process improvement initiatives.

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Qualifications & Skills:

· Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or related discipline.

· 3–7 years of experience in distribution, warehouse automation, or manufacturing environments.

· Strong expertise in time-study, MOST/MODAPTS, ergonomics, and process optimization.

· Familiar with AutoCAD / Visio / process modeling tools.

· Working knowledge of automation technologies (AMRs, conveyors, GTP systems, robotics) and their impact on labor allocation.

· Excellent analytical, documentation, and communication skills.

· Ability to work cross-functionally with engineering, operations, and safety teams to implement measurable improvements.

Key Responsibilities 

• Lead the design and development of MuleSoft APIs following API-led connectivity principles (System, Process, Experience layers). 
• Architect and implement complex integrations between OMS/WMS platforms (Manhattan preferred) and external systems including ERP, TMS, marketplaces, and shopping carts. 
• Drive e-commerce integration initiatives for order ingestion, inventory synchronization, returns processing, and shipment tracking. 
• Deploy and integrate OMS solutions hosted on Google Cloud Platform, leveraging services such as Cloud Run, Pub/Sub, and Cloud Storage. 
• Manage Apigee API Gateway configurations, including proxies, policies, authentication, and analytics. 
• Develop and maintain DataWeave transformations for multi-format data (JSON, XML, CSV, EDI). 
• Mentor junior MuleSoft developers and enforce best practices for integration design, coding standards, and performance optimization. 
• Participate in CI/CD pipeline setup and manage automated deployments for MuleSoft applications. 
• Collaborate with product, architecture, and QA teams to ensure solutions meet business, performance, and security requirements. 
• Monitor and troubleshoot integration flows to ensure high availability, scalability, and reliability. 

Required Qualifications 

• Bachelor’s degree in Computer Science, Information Systems, or related field. 
• 5+ years of experience in MuleSoft Anypoint Platform development (Mule 4). 
• Proven experience with OMS/WMS integrations (Manhattan preferred) in supply chain or logistics domains. 
• Strong experience integrating shopping carts and marketplaces (Shopify, Magento, BigCommerce, Amazon, Walmart). 
• Proficiency in Apigee API Gateway (proxy design, security, analytics). 
• Experience with Google Cloud Platform services for integration deployments. 
• Strong DataWeave transformation skills for JSON, XML, CSV, and EDI data mapping. 
• Expertise in REST/SOAP API design and integration best practices. 
• Familiarity with B2B EDI transactions (888, 840, 850, 856, 810).