Engineering Manager

• Lead and manage a team of engineers, providing guidance and mentorship
• Oversee the design, development, and maintenance of critical services
• Drive technical decisions and provide architectural direction
• Ensure projects are delivered on time, within scope, and within budget
• Implement and enforce software development and team collaboration best practices
• Conduct performance reviews and provide feedback
• Foster innovation, continuous improvement, and customer focus
• Stay current with industry trends and technology advancements
• Manage resources, budgets, and timelines to meet organizational goals
• Ensure delivery with pace, quality, efficiency, and excellence
• Build and maintain Supply Chain solutions for customers, operators, and sellers
• Lead architecture, development, and maintenance of cloud-native warehouse management and fulfillment systems for Walmart International

Senior Manager, Software Engineering

• Define and lead the engineering organization delivering reliable, governed AI-driven execution for regulated banking customers
• Own end-to-end reliability, auditability, and multi-LLM governance
• Define engineering strategy for non-deterministic execution, five-nine reliability, resumable workflows, and human-in-the-loop control
• Lead deployment pipelines operating inside customer-owned, highly regulated infrastructure
• Establish model and LLM governance, audit trails, and multi-LLM policy enforcement across the execution gateway
• Build cross-functional teams aligning product, security, and SRE practices
• Drive production feedback into the ontology, product enhancements, and roadmap inputs
• Align engineering processes with regulatory audit cycles, observability, incident response, and SLO ownership
• Represent kAIgentic to senior customer and regulator stakeholders
• Build the talent pipeline, hire senior engineers, and establish scalable career paths

VP of Engineering

• Design, develop, and optimize Salesforce Field Service solutions supporting technician experience and field operations
• Automate workflows using Salesforce AI capabilities
• Improve technician productivity and customer experiences
• Build scalable, secure, and maintainable platform solutions
• Build, hire, and grow a high-performing engineering team in India
• Coach, mentor, and develop engineers
• Establish engineering processes, team norms, and best practices
• Provide technical leadership for Field Service architecture, platform strategy, and engineering standards
• Guide solution design across Apex, LWC, Flow, APIs, Platform Events, integrations, and related Salesforce technologies
• Lead Agile planning, sprint execution, release management, and software delivery
• Manage technical debt, platform modernization, risks, and delivery blockers
• Collaborate with Product, Operations, Customer Experience, Architecture, and Engineering teams
• Communicate technical strategy, delivery progress, and priorities to stakeholders and leadership
• Promote AI-assisted development, security, quality, CI/CD, testing, observability, and operational excellence

Engineering Manager – Field Service

• Oversee and mentor a team of Software Engineering colleagues, fostering continuous learning, growth, and inclusivity
• Provide direct leadership and coaching, supporting training and development of best practices
• Manage resource allocation, project timelines, and budgets for Software Engineering projects
• Collaborate with senior leadership to hire talent, retain employees, and support professional development
• Lead software development, deployment, support, and monitoring across various environments
• Collaborate with senior leadership and cross-functional teams to define and implement technology roadmaps and strategies
• Lead innovation and process automation to drive efficiency and scalability in production environments
• Drive continuous improvement using metrics and feedback to enhance team performance and software quality
• Collaborate with product and business teams to align technology initiatives with business objectives

• Lead, grow, and mentor a cross-site team of power and infrastructure engineers across Pune and Bangalore
• Set individual and team roadmaps, development plans, and ownership across mandates
• Drive power profiling across pre-silicon engagement, power target qualification, regression monitoring, battery-life validation, and external software release qualification
• Run nightly development-branch and release-branch power and performance-per-watt monitoring across discrete GPU and data-center platforms
• Own a temperature-controlled, instrumented measurement lab across two sites, including DUT fleet management, board procurement, logistics, instrumentation, rework, DAQ and power-path integrity, rack build-out, and capacity planning
• Shape measurement strategy from pre-silicon through production and establish measurement confidence levels
• Drive instrumented boards, rail maps, on-board sensors, and DAQ adapter design
• Specify, track, and escalate measurement prerequisites and power targets
• Quantify and attribute power gaps and drive debugging and optimization with software and hardware power owners
• Deliver power verdicts supporting program go/no-go decisions and qualify external software drops
• Lead cross-company power engagement with OEMs and software power owners
• Co-engineer battery-life targets, conduct joint root-cause analysis, and maintain a shared bug-and-analysis stream
• Own the power profiling framework, power analytics dashboard, and automated power regression farm as production-grade shared assets
• Deliver energy-regulation compliance evidence for idle, standby, and off-mode power release gates

System Software Manager – Power Profiling, Infrastructure

• Serve as the primary technical authority for the Order Generation product suite
• Define the technology stack, data architecture, AI/ML capabilities, and architectural patterns
• Lead cross-functional teams through complex integrations and manage ecosystem dependencies
• Translate business requirements into technical strategies aligned with Ford enterprise standards
• Define and execute AI/ML and data analytics product strategy
• Identify, evaluate, and prioritize AI/ML opportunities across forecasting, order generation, decision support, anomaly detection, optimization, and workflow automation
• Lead AI/ML products from discovery and business-case development through experimentation, MVP validation, industrialization, launch, adoption, and continuous improvement
• Partner with Data Science, Data Engineering, Product, Architecture, Cybersecurity, Legal, Privacy, and business teams
• Establish product metrics, experimentation methods, model performance targets, and adoption measures
• Monitor emerging technologies and assess build, buy, or partner opportunities
• Define and execute a multi-year product vision and roadmap for optimized order forecasting and generation
• Champion Agile delivery, MVPs, Human-Centered Design, launch planning, adoption, training, change management, and feedback loops
• Guide MLOps and LLMOps practices including experimentation, model registry, testing, deployment, monitoring, drift detection, retraining, rollback, and auditability
• Define controls for model quality, explainability, bias and fairness, privacy, security, human oversight, and responsible use
• Enforce Test-Driven Development, CI/CD, DevSecOps, Full Lifecycle Ownership, and operational KPIs
• Architect cloud-native, microservices-based systems for global scale, multi-tenancy, and high-performance transactional processing
• Design interoperable data and AI architectures supporting batch and real-time inference, event-driven workflows, APIs, observability, and secure enterprise integration
• Cultivate and develop a diverse team through coaching, mentorship, career pathing, psychological safety, and continuous learning
• Collaborate with Cloud Infrastructure, Data & AI, Cybersecurity, Responsible AI, SRE, and DevOps teams
• Influence adoption of modern engineering practices, responsible AI controls, reusable data products, and standardized service contracts
• Participate in architecture and code reviews, resolve technical blockers, review model and data design decisions, and prototype emerging technologies

Software Engineering Manager

• Code, unit test, and build high-performance, scalable applications serving Walmart International customers
• Design, architect, and deliver one or more systems/products end to end
• Collaborate with cross-functional teams
• Estimate effort, identify risks, prioritize work, and devise and meet project schedules
• Improve sustainable engineering practices, code quality, documentation, testing, and monitoring
• Build and maintain systems compliant with certification, regulatory standards, and information-security programs
• Ensure highly scalable, extensible, and high-performing product architecture and implementations
• Analyze and test programs/products before formal launch
• Suggest extensions of current systems to new products and services
• Ensure on-schedule delivery of high-quality products meeting business and technical requirements
• Mentor and coach engineers and provide technical leadership
• Build cloud-native warehouse-management and fulfillment systems for Walmart International

• Lead technically through architecture discussions, design reviews, and critical technical decisions
• Own and drive end-to-end technical design of scalable, reliable, and maintainable services and platforms
• Mentor and grow engineers through code reviews, design critiques, and engineering deep-dives
• Identify and resolve technical debt, performance bottlenecks, and reliability risks
• Set and enforce standards for code quality, test coverage, observability, and operational excellence
• Drive adoption of distributed-systems patterns including event-driven architecture, eventual consistency, and resilient service mesh
• Engineer systems for resilience in low-bandwidth, high-latency environments
• Attract, hire, and retain strong individual contributors and build an engineering-excellence culture
• Evaluate and champion technology choices for long-term platform health
• Ensure delivery with pace, quality, and engineering depth
• Build scalable, cloud-native platforms powering Walmart retail and eCommerce experiences across Africa
• Own systems supporting omni-channel commerce, supply chain, customer returns, and fulfilment

• Drive the technical vision and strategy for the engineering team and promote an AI-first mindset
• Stay current with cutting-edge technologies and software engineering best practices
• Understand business context and align decisions with leadership vision and strategy
• Identify opportunities to leverage technology to drive business outcomes
• Manage highly skilled engineers and foster a positive, inclusive, collaborative environment
• Facilitate team meetings, code reviews, and knowledge-sharing sessions
• Coordinate with cross-functional teams to deliver projects on time and within budget
• Monitor project progress, manage risks, and ensure quality standards
• Provide guidance and mentorship and promote continuous learning
• Own end-to-end systems in the infrastructure domain
• Identify opportunities to improve processes, tools, and products
• Drive automation, DevOps practices, cloud financial management, and developer productivity
• Deliver scalable, robust technical solutions supporting global retail operations

• Code, unit test, and build high-performance, scalable applications for Walmart International customers in supply chain management and customer experience
• Design, architect, and deliver one or more systems/products end to end
• Collaborate with cross-functional teams
• Estimate effort, identify risks, prioritize work, and devise and meet project schedules
• Improve sustainable engineering best practices, code quality, documentation, testing, and monitoring
• Build and maintain systems compliant with certification, regulatory standards, and technology-based information security programs
• Ensure product architectures and implementations are scalable, extensible, and high-performing
• Analyze and test programs/products before formal launch
• Suggest extensions of current systems to new products and services
• Deliver high-quality products on schedule that meet business and technical requirements
• Mentor and coach engineers, providing technical leadership