Industrial Manufacturing

QA Engineer

• Lead and manage QA activities within Agile/Scrum frameworks, ensuring quality is embedded in sprint planning, backlog refinement, development, and release cycles.
• Manage and mentor QA engineers, supporting skill development, performance feedback, and workload planning.
• Partner with Product Owners to define acceptance criteria, Definition of Ready (DoR), and Definition of Done (DoD).
• Collaborate with Scrum Masters to ensure QA work is appropriately planned and balanced within sprint capacity.
• Promote shift-left testing practices and shared team ownership of quality.
• Actively participate in Scrum ceremonies including backlog refinement, sprint planning, daily stand-ups, sprint reviews, and retrospectives.
• Ensure test scope, automation readiness, and quality risks are considered during sprint commitments.
• Coordinate sprint-level testing activities and support incremental delivery of shippable product increments.
• Support release readiness decisions by providing objective quality assessments and risk visibility.
• Oversee Cypress-based test automation, ensuring automated tests are maintainable, reliable, and aligned with business workflows.
• Support integration of automated testing within CI/CD pipelines to enable continuous testing and rapid feedback.
• Guide development and execution of automated regression, functional, and workflow-based test suites.
• Establish standards for test data, test environments, and automation best practices.
• Track and report Agile quality metrics such as defect trends, test coverage, and release stability.
• Use sprint retrospectives and quality data to identify opportunities for process and tooling improvements.
• Continuously refine QA workflows to improve efficiency while maintaining high-quality standards.
• Work closely with Software Development, Engineering, and Applications teams to validate functional and technical accuracy of OptIEMize workflows.
• Maintain working knowledge of LV/MV switchgear systems to support meaningful test scenarios and validation of business logic.
• Support Sales and Operations by ensuring digital quotation outputs meet customer specifications and project requirements.
• Serve as a key liaison communicating quality status and risks to technical and business stakeholders.

Quality Assurance Manager

Security Operations

• Monitor, investigate, triage, and respond to security alerts generated from SIEM, EDR, firewalls, email security, cloud platforms, and other security tools.
• Perform advanced network analysis, including packet capture review, flow analysis, and traffic anomaly detection.
• Conduct log analysis across diverse systems (cloud, endpoint, network, identity, and applications).
• Assist with EDR investigations and response actions using tools such as SentinelOne (preferred).
• Analyze threats, malware behavior, and attack patterns to determine risk and recommend or implement remediation steps.
• Collaborate with internal teams to improve detection rules, alerting logic, and data enrichment within Google Chronicle or other SIEM technologies.
• Develop, maintain, and optimize SOC playbooks, runbooks, and escalation procedures.
• Assist with SOC process improvements, automation opportunities, and overall operational efficiency.
• Participate in On-Call rotation

SOC Engineer II

Business Analyst

• Gather and document requirements: Meet with end users and stakeholders to capture detailed business needs and translate them into user stories with clear acceptance criteria.
• Consultative solutioning & dependency mapping: Partner with cross-functional stakeholders to shape solutions, identify upstream/downstream impacts and gaps, and recommend process/UI changes that standardize data capture.
• Write actionable user stories: Create well-structured user stories that provide developers with sufficient detail to implement solutions effectively.
• Support testing efforts: Partner with QA and testers to ensure acceptance criteria are clear and documented.
• Document processes and workflows: Create and maintain up-to-date process documentation, including standard operating procedures, flow diagrams, and technical specifications.
• Develop user enablement materials: (e.g., job aids, quick reference guides, FAQs) To support adoption of new or updated processes/systems.
• Manage project requirements: Track and prioritize requirements across Salesforce, MuleSoft, and AI initiatives.

Senior Business Analyst

Software Engineer

• Architect and design integration solutions using MuleSoft Anypoint Platform, adhering to best practices, architectural guidelines, and enterprise standards. Develop integration strategies that align with business objectives and technical requirements.
• Create well-documented, discoverable, and accessible APIs following RESTful principles. Design comprehensive data models using RAML and OpenAPI specifications to facilitate seamless integration between systems.
• Develop and implement integration solutions using Mule 4.x including flows, connectors, error handling, and advanced transformation logic. Build robust, reliable, and scalable integrations that address complex business challenges.
• Develop sophisticated data mapping and transformation logic using DataWeave to ensure data consistency, integrity, and quality across integrated systems. Handle complex data structures and formats.
• Implement comprehensive error handling, logging, and monitoring frameworks to maintain system integrity, provide clear diagnostics, and ensure high availability of integration solutions.
• Monitor, analyze, and optimize the performance of integration solutions, ensuring high throughput, low latency, and efficient resource utilization. Conduct performance testing and tuning activities.
• Implement and maintain security measures including OAuth 2.0, SAML, TLS/SSL, JWT, and encryption to protect data and ensure compliance with security standards and regulatory requirements.
• Design and implement various integration patterns including synchronous, asynchronous, event-driven, and batch processing to meet diverse business requirements and use cases.
• Work closely with business analysts, architects, Salesforce administrators, and development teams to understand integration requirements, provide technical guidance, and translate business needs into technical solutions.
• Develop and maintain automated testing procedures for integration solutions. Conduct thorough testing and validation to ensure solution quality, reliability, and adherence to specifications.
• Create and maintain detailed technical documentation for integration processes, APIs, data flows, architecture diagrams, and operational procedures. Ensure documentation is clear, comprehensive, and up-to-date.
• Review and sign off on integration designs and code based on MuleSoft best practices, company standards, and architectural guidelines. Provide constructive feedback to ensure quality and consistency.
• Oversee the delivery of integration services by acting as a custodian for ensuring compliance with patterns, best practices, standards, and code quality. Establish and enforce governance frameworks.
• Setup, manage, and govern CI/CD pipelines and branching strategies using industry-standard tools such as Maven, Jenkins, Git, and Azure DevOps. Implement automated deployment processes and version control best practices.
• Troubleshoot and resolve technical issues promptly, ensuring minimal disruption to integrated systems. Provide technical support and guidance for production integration solutions.

Senior MuleSoft Developer

• Develop comprehensive test strategies: Create and maintain test plans covering functional, performance, and regression testing for AI agents and automation workflows.
• Build and maintain automated test frameworks: Develop and maintain automated test scripts/frameworks to ensure bot responses and workflow outputs remain accurate, consistent, and reliable over time.
• Build and maintain test assets: Create/curate golden conversation sets, synthetic test data, evaluation rubrics, and regression suites to measure quality over time.
• Validate AI agent safety and reliability: Test tool-calling end-to-end (tool selection, parameter mapping, sequencing, retries/timeouts, error handling, and recovery), including negative/edge cases; confirm outputs align to business rules and document risk mitigations.
• Test integration/workflow integrity: Validate API contracts, data transformations, and downstream impacts (idempotency, duplicate prevention, partial failures, and latency) across environments.
• Manage defects through resolution: Identify, log, prioritize, and track defects; partner with developers to reproduce issues and validate fixes.
• Provide release certification: Deliver final quality sign-off prior to production release, ensuring defined acceptance criteria and quality standards are met.
• Align on acceptance criteria: Partner with Business Analysts to ensure user stories include clear, testable acceptance criteria and that test coverage maps to requirements.
• Document testing and metrics: Maintain test cases, data, results, and quality metrics; communicate outcomes and risks.
• Participate in Agile ceremonies: Engage in planning, grooming, standups, and retrospectives to embed quality throughout delivery.
• Drive continuous improvement: Identify opportunities to improve automation coverage, testing effectiveness, and quality practices.

Quality Assurance Manager

SOC Engineer II

Senior Business Analyst

Senior MuleSoft Developer

QA Engineer – AI Automation Validation