James Salve

IT professional with 16+ years with strong knowledge of technological trends to build strategy, understanding of budgets and business-planning, ability to conduct technological analyses and research, excellent communication skills and leadership and organizational abilities.

Senior Manager - Capgemini – Payroll company

(2022-10)

• Project Management, Project Planning, Budgeting(Allocation vs actual), Prioritization, Feature release, GTM, Risk vs issues, MS Projects, JIRA, Confluence, Rally, SDLC, Sprint planning, Retrospective, demo, DSU, Weekly/Monthly Report, Dashboards.
• Designed and implemented reusable architectural patterns, frameworks, and reference architectures, enabling standardized development and seamless integration across microservices and enterprise applications.
• Led end-to-end platform architecture, collaborating with product, infrastructure, and security teams to ensure alignment with business objectives, compliance standards, and security best practices.
• Championed DevSecOps adoption by designing and optimizing CI/CD pipelines, integrating automated security scanning, code quality gates, and compliance checks within the software delivery lifecycle.
• Architected and managed integrations with enterprise tools and platforms, including Artifactory (artifact management), Atlassian suite (Jira, Confluence, Bitbucket), and API management platforms such as MuleSoft and Apigee.
• Implemented Infrastructure as Code (IaC) and automation strategies to enable self-service platform capabilities, reducing manual intervention and accelerating developer productivity.
• Represented architecture decisions in enterprise governance forums, contributing to technology standards, roadmap planning, and cross-domain architectural alignment.
• Experience in software engineering with deep specialization in architecture and platform engineering.
• Strong expertise in Java, object-oriented design, design patterns, and building scalable backend systems.
• Extensive experience with microservices architecture, RESTful APIs, distributed systems, and event-driven architectures.
• Advanced knowledge of SDLC, Agile/Scrum methodologies, and engineering best practices.
• Proven expertise in CI/CD pipelines with GitHub Actions, Jenkins, GitLab CI/CD, DevOps tooling, and automation (e.g., Jenkins, Docker, Kubernetes).
• Strong hands-on experience with AWS (EC2, S3, Lambda, RDS, EKS) and exposure to multi-cloud architectures.
• AI/ML experience in delivering enterprise-scale analytics and GenAI programs. Experiance in LLMs, RAG frameworks, agentic AI, and end-to-end AI product delivery. Strong background in cloud platforms (AWS, Azure, GCP) and scalable MLOps/LLMOps practices.
• Vector Databases, RAG, LangChain or LlamaIndex, AI Agents
• Embedding models: OpenAI embedding models, Sentence Transformers (SBERT), BGE (BAAI General Embedding), E5 embedding models, Jina Embeddings, Cohere Embed models
• Generative LLMs: GPT series, Claude, Gemini, Llama, Mistral, DeepSeek
• Fine-tuning, MLOps and model deployment
• Version Control: Git, DVC
• Experiment Tracking: MLflow, Weights & Biases
• Deployment: FastAPI, Flask, TensorFlow Serving, TorchServe
• Containers: Docker
• Orchestration: Kubernetes
• Cloud ML: Amazon SageMaker, Google Vertex AI, Azure Machine Learning
• Monitoring: Evidently AI, Prometheus, Grafana
• Cloud platforms (AWS, Azure, Google Cloud)
• AI ethics and responsible AI
• Proven ability to lead cross-functional teams and align AI solutions with business outcomes. Skilled in stakeholder management, governance, and driving innovation in agile environments.
• Hands-on in Big Data technologies - Hadoop, Sqoop, Hive and Spark including DevOps.
• With deep technology understanding in Hive, HDFS, Spark, Kafka, Java, or Scala, Python, Pyspark etc.
• Deployed end-to-end Agentic RAG chatbot architectures using planner-executor patterns, memory, tools, and hybrid retrieval (vector + knowledge graph).
• Deployed multi-agent product discovery and search systems using specialized agents with orchestration frameworks and shared state.
• Deployed AI over BI systems converting natural language queries into structured insights using semantic parsing and hybrid data retrieval.
• Deployed text-to-code and database interaction systems with secure execution, schema-aware prompting, and validation layers.
• Deployed advanced RAG architectures including Graph RAG and hybrid retrieval using vector databases and structured data sources.
• Deployed LLMOps frameworks covering model lifecycle management, prompt versioning, CI/CD, and experiment tracking.
• Deployed evaluation frameworks using RAGAS, DeepEval, and custom pipelines for accuracy, grounding, latency, and cost metrics.
• Deployed AI guardrails including hallucination detection, safety filters, output validation, and policy enforcement mechanisms.
• Deployed scalable AI solutions on AWS using Bedrock, Lambda, S3, OpenSearch, and streaming pipelines for real-time inference.
• Deployed event-driven, API-first microservices architectures with IoT data integration, observability, and cost optimization (FinOps for AI).
• Expertise in design and management of complex data structures and data processes like ETL/ELT.
• Knowledge of Teradata.
• Designing and building new Cloud Data platform and its optimization at organization level.
• Strong past on designing AWS data lake and surrounding ecosystem development.
• AWS services like RDS, DynamoDB, Redshift
• solution architectures and reference architectures with a focus on cloud technologies. Proficient in Unix/Linux eco system.
• Worked with Docker containerisation or similar.
• Did setup of Container orchestration.
• Product Strategy & vision
• Monitoring the development & QA teams
• Agile Product Implementation
• Go-to-Market strategy
• Visualize and Conceptualize ideas/ features.
• Driving various teams to success.
• Application Service Delivery Ownership
• Own service delivery for enterprise applications (ERP, Finance, HR, CRM, BI, SaaS, and custom applications).
• Ensure applications meet a, greed SLAs, OLAs, and business KPIs.
• Act as the single point of accountability for application service performance.
• Coordinate L2/L3 application support teams and AMS vendors.
• ServiceNow-Based ITSM Governance
• Govern application support processes using ServiceNow ITSM, including:

Senior Manager - Vodafone

(2017-03 - 2022-09)

• Led IT teams for project delivery - Compute, Storage and leading strategic initiatives - IaaS (Infra as a Service), Platform as a Service (PaaS), AI/ML and DevOps
• With Support of all teams, able to successfully deliver project to scale the model for NSX-T, vRealize Network Insight, NSX Advanced Load Balancer, VMC on AWS & NSX Security design & implementation, NSX-V to NSX-T migration, Firewall rules implementation, AD,DNS, DHCP
• Co-oridinate with Data Engineers and help drive multiple Customer Engagement with hands-on experience on Java, Kafka, ETL, ADF, Data Lake, Databricks executed on SQL Migrations, Azure Synapse Implementation, Azure Purview Capacity Planning Data Analysis
• Proven experience in service organization, having delivered complex large scale infrastructure projects. (Including DevOps, UNIX/AIX/WINDOWS, Network, Middleware, Database, Application hosting platforms, Storage, and Data Centre etc.)
• Responsible for developing, managing, and reporting on scope, schedule, and budget in relation to the Integration scope and packages.
• Work independently in support of PM’s.
• Track lessons learned and identify and execute on cost down site up opportunities.
• Vendor Management and contract compliance.
• Provide Vendor oversight and performance management, as required.
• Support Preparation of Request for Proposal (RFP’s),SOW, and other project approval tools & templates.
• Review and approval of vendor scope of work and design review of site and building plans, as required.
• Architectures, enabling standardized development and seamless integration across microservices and enterprise applications.
• Led the adoption of DevSecOps practices by building and optimizing CI/CD pipelines with integrated security scanning, automated testing, and compliance enforcement.
• Architected and managed integrations with enterprise platforms including Artifactory, Atlassian suite (Jira, Confluence, Bitbucket), and API management solutions such as MuleSoft and Apigee.
• Implemented Infrastructure as Code (IaC) and automation frameworks to enable self-service developer platforms, improving efficiency and reducing operational overhead.
• Ensured platform reliability through robust monitoring, logging, alerting, and incident management processes, including active participation in on-call support.
• Represented architectural decisions in enterprise governance forums, contributing to standards, best practices, and long-term technology strategy.
• Mentored engineering teams on microservices architecture, system design, and performance optimization, driving engineering excellence across distributed teams.
• Facilitated collaboration across global teams, ensuring consistency in architecture and delivery across regions.
• Strong expertise in Java, object-oriented programming, and design patterns for building scalable backend systems.
• Extensive experience in microservices architecture, RESTful APIs, distributed systems, and event-driven design.
• Advanced knowledge of SDLC, Agile/Scrum methodologies, and modern engineering practices.
• Proven experience with CI/CD pipelines and DevOps tools such as Jenkins, Docker, and Kubernetes.
• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, EKS) including deployment, scaling, and monitoring of cloud-native applications.
• Experience with Snowflake and cloud-based data platforms, including data integration and analytics workflows.
• Proficient in testing and performance tools including JUnit, Selenium, and JMeter.
• Strong expertise in observability, including monitoring, logging, tracing, and system performance tuning.
• Project Management, Project Planning, Budgeting(Allocation vs actual), Prioritization, Feature release, Risk vs issues, MS Projects, JIRA, Confluence, Rally, SDLC, Sprint planning, Retrospective, demo, DSU, Weekly/Monthly Report, Dashboards.
• Excellent communication, leadership, and stakeholder management skills.
• Tools: Servicenow, Jira, Confluance MSP, Remedy, Clarity, Excel, Powerpoint.

Senior Consultant - Sungurd

(2016-08 - 2017-02)

• Primary responsibility included creating orchestrating migration/deployment activities that involved preparing project plan and schedules, resource estimates, status updates, project communication and ensuring project completion within agreed time frame. Providing weekly status report to stakeholders.
• Strong expertise in Java, object-oriented programming, and design patterns for building scalable backend systems.
• Extensive experience in microservices architecture, RESTful APIs, distributed systems, and event-driven design.
• Advanced knowledge of SDLC, Agile/Scrum methodologies, and modern engineering practices.
• Proven experience with CI/CD pipelines and DevOps tools such as Jenkins, Docker, and Kubernetes.
• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, EKS) including deployment, scaling, and monitoring of cloud-native applications.
• Experience with Snowflake and cloud-based data platforms, including data integration and analytics workflows.
• Proficient in testing and performance tools including JUnit, Selenium, and JMeter.
• Strong expertise in observability, including monitoring, logging, tracing, and system performance tuning.
• Architectures, enabling standardized development and seamless integration across microservices and enterprise applications.
• Excellent communication, leadership, and stakeholder management skills.
• Communicates project issues and status in a concise, accurate, and professional manner.

Lead, Project Management - Orange

(2015-08 - 2016-07)

• Platform Migration Citrix 1.0 to Citrix 2.0 legacy to Converged Infrastructure
• Managing End to end Funding, Planning, build and decommissioning of existing infrastructure
• Firewall implementation for new builds
• Collaboration with third party for hardware procurement
• Managing communication with spend approval board for budget approvals (CAPEX/OPEX) prior to start of new project
• Creating product roadmap, managing product backlog & prioritization
• Collaborating with product marketing teams to understand user pulse & re-defining product features
• Monitoring product progress at every phase
• Active participation in scrum meetings & sprints
• Continuous collaboration with development & validation teams to meet milestones & release deadlines
• Managed requirement gathering sessions with stakeholders along with Technical team
• Developing cost estimates, integrated project plans and implementation schedules for projects.
• Facilitation of scrum ceremonies, sprint planning, daily standup, sprint review, sprint retrospective and product backlog grooming
• Architectures, enabling standardized development and seamless integration across microservices and enterprise applications.
• Managed projects with multiple vendors with different scopes
• Proficient in Project Management life cycle and able to lead the project end to end
• Ensure internal & external stakeholder management through effective communication
• Strong ability to manage multiple Projects with Jira, MSP & Project documents(Confluence, Risk register & Lesson learned).
• Strong expertise in Java, object-oriented programming, and design patterns for building scalable backend systems.
• Extensive experience in microservices architecture, RESTful APIs, distributed systems, and event-driven design.
• Advanced knowledge of SDLC, Agile/Scrum methodologies, and modern engineering practices.
• Proven experience with CI/CD pipelines and DevOps tools such as Jenkins, Docker, and Kubernetes.
• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, EKS) including deployment, scaling, and monitoring of cloud-native applications.
• Experience with Snowflake and cloud-based data platforms, including data integration and analytics workflows.
• Proficient in testing and performance tools including JUnit, Selenium, and JMeter.
• Strong expertise in observability, including monitoring, logging, tracing, and system performance tuning.
• Excellent communication, leadership, and stakeholder management skills.

Lead, Project Management - Tech Mahindra

(2013-07 - 2015-07)

• Converged Infrastructure set up for AT&T customers
• Large Data center migration
• Upgrading EOL platform to new NW solutions as per customers requirement for European customers
• Managing End to end decommissioning of existing infrastructure
• Firewall implementation for new builds
• Collaboration with third party for hardware procurement
• Managing communication with spend approval board for budget approvals (CAPEX/OPEX) prior to start of new project
• Manage end to end multiple small/medium size complex infrastructure management projects for outsourcing clients (AT&T)
• Leading team that supports Dev/Prod environments hosted on Hybrid, Public and Private cloud.
• Strong expertise in Java, object-oriented programming, and design patterns for building scalable backend systems.
• Extensive experience in microservices architecture, RESTful APIs, distributed systems, and event-driven design.
• Advanced knowledge of SDLC, Agile/Scrum methodologies, and modern engineering practices.
• Architectures, enabling standardized development and seamless integration across microservices and enterprise applications.
• Proven experience with CI/CD pipelines and DevOps tools such as Jenkins, Docker, and Kubernetes.
• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, EKS) including deployment, scaling, and monitoring of cloud-native applications.
• Experience with Snowflake and cloud-based data platforms, including data integration and analytics workflows.
• Proficient in testing and performance tools including JUnit, Selenium, and JMeter.
• Strong expertise in observability, including monitoring, logging, tracing, and system performance tuning.
• Excellent communication, leadership, and stakeholder management skills.
• Managing the day-to-day operational aspects of the project.

Analyst - Mphasis

(2009-03 - 2013-06)

• Resolving ticketing related disputes
• Answer inbound calls and assist customers with booking related inquiries
• Build customer’s interest in the services and products offered by the company
• 100% SLA maintenance
• Accountable for objectives where goals and operational processes are defined
• Interacts daily with subordinates and peer groups
• Strong expertise in Java, object-oriented programming, and design patterns for building scalable backend systems.
• Extensive experience in microservices architecture, RESTful APIs, distributed systems, and event-driven design.
• Advanced knowledge of SDLC, Agile/Scrum methodologies, and modern engineering practices.
• Proven experience with CI/CD pipelines and DevOps tools such as Jenkins, Docker, and Kubernetes.
• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, EKS) including deployment, scaling, and monitoring of cloud-native applications.
• Experience with Snowflake and cloud-based data platforms, including data integration and analytics workflows.
• Proficient in testing and performance tools including JUnit, Selenium, and JMeter.
• Strong expertise in observability, including monitoring, logging, tracing, and system performance tuning.
• Excellent communication, leadership, and stakeholder management skills.
• problem resolution (TPR), CSAT scores, Average handling time (AHT)

Bachelor of Computer Science - Computer Science - Nagpur University (2001 - 2004)

Higher Secondary (12th) - Maharashtra (2001 - 2001)

Matriculation (10th) - SSC (1999 - 1999)