Cloud Engineer

• Collaborate with Infra, platform and operations teams to improve the IaC development and deployment process
• Design, deploy, and maintain Kubernetes clusters in various environments (on-premises, cloud, hybrid) to support containerized applications.
• Implement version control strategies and best practices to ensure code and configuration consistency.
• Set up monitoring and alerting systems (e.g., Prometheus, Grafana) for Kubernetes clusters and applications.
• Implement and advocate for security best practices for Kubernetes and containerized environments, including RBAC, network policies, and image scanning.
• Optimize cloud environments for performance, scalability, and resource utilization.
• Automate repetitive tasks and processes using scripts and tools like Terraform IaC, Ansible, Chef, or Puppet
• Ensure compliance with security and regulatory requirements
• Monitor and optimize system performance and capacity
• Stay up-to-date with industry trends and emerging technologies
• Assist with 24x7 Service Desk providing local and remote services at a high level of customer satisfaction with measurable KPIs.

VP, Cloud Engineer

• Design, build, and deploy agentic AI solutions directly inside enterprise customer environments
• Develop AI agents and experiences that take real actions for real organizations
• Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production
• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms
• Model the data, ship the pipeline, validate the output
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes
• Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months
• Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions

Forward Deployed Engineer – Agentforce, Data Cloud

• Build new product/ Customizing terraform automations using Java technologies.
• Address defects within well-defined SLAs to ensure that our customers stay happy.
• Build features and modules using Java, Spring Boot, Microservices & AWS.
• Write automated unit and integration tests to execute within CI/CD pipelines & terraform in Platform code.
• Will be part of platform/ could implementing for the Infrastructure as a Service (IAAS) using Docker & Kubernetes.
• Take pride in authorship of code and hold your teammates to equally high standards.
• Work with best of breed Cloud technologies.
• Learn new technologies and skills and apply them to your work.
• Work in an Agile environment, releasing software frequently.

Software Engineer, Java, AWS

• Design and implement RAG-based architectures using Azure OpenAI and Azure AI Search.
• Develop backend APIs and services to support GenAI applications.
• Architect and deploy Azure serverless solutions (Azure Functions, Logic Apps, Container Apps).
• Build scalable data pipelines for indexing, embedding, and retrieval workflows.
• Implement CI/CD pipelines for AI systems using Azure DevOps or GitHub Actions.
• Define and implement system architecture ensuring performance, scalability, and high availability.
• Apply infrastructure as code using Terraform or Bicep.
• Collaborate with frontend, data, and AI teams to deliver end-to-end GenAI solutions.
• Enforce security, governance, and compliance best practices.

Senior Azure GenAI Backend Engineer – RAG & Serverless Focus

• Managing and optimizing Azure cloud infrastructure to support seamless business operations
• Provisioning, configuring, and maintaining virtual machines, containers, and serverless environments
• Monitoring system performance and resource utilization to proactively address infrastructure issues
• Implementing cloud networking components such as VPCs, subnets, and load balancers
• Utilizing Infrastructure as Code tools like Terraform to define and deploy cloud infrastructure
• Automating administrative tasks and deployments using scripting languages such as Bash and PowerShell
• Maintaining and enhancing CI/CD pipelines for efficient application and infrastructure deployment
• Designing resilient architecture across multiple availability zones to support business continuity
• Monitoring cloud expenditures and implementing strategies for cost optimization
• Enforcing cloud security practices and compliance standards, including vulnerability scanning and patch management
• Collaborating with Software Engineering, DevOps, and Security teams to support cloud-native applications
• Assisting in troubleshooting and resolving Tier 2 and 3 support tickets related to cloud infrastructure

Senior Associate, Azure Administrator

• Monitor GCP infrastructure health, performance, and cost using Cloud Monitoring, BigQuery, and related tooling
• Assist in incident triage, ticket management (Jira), and basic troubleshooting of cloud resources
• Support IAM access reviews, security audits, and compliance checks (e.g., public GCS bucket exposure, role assignments across projects)
• Generate and maintain operational dashboards and reports for stakeholders and team leads
• Assist with routine automation using Terraform, gcloud CLI, or Python/Bash scripting (e.g., lifecycle policies, IAM provisioning)
• Support patching, backups, and basic configuration management activities on GCE/GKE workloads
• Document standard operating procedures (SOPs) and maintain runbooks
• Coordinate with senior engineers on escalations, change requests, and CSPM/security remediation items
• Participate in on-call rotation for basic L1/L2 support (as applicable)

Cloud Engineering Analyst

• Develop and maintain full-stack applications using Python, React, and AWS
• Collaborate with cross-functional teams to deliver high-quality software
• Participate in design discussions and technical problem-solving
• Implement secure coding practices and performance tuning
• Mentor junior developers and share best practices

Senior Software Engineer – Python, React, AWS

• Lead end-to-end DB2-to-AWS RDS migration activities, including assessment, planning, execution, validation, and cutover.
• Perform schema conversion, data migration, and performance optimization to ensure successful deployments.
• Configure and manage AWS RDS environments, including security, backup/recovery, and high-availability settings.
• Collaborate with application and integration teams to ensure seamless system compatibility.
• Develop migration runbooks, rollback plans, and technical documentation while ensuring compliance with security and governance standards.
• Support UAT, production deployments, and post-migration issue resolution.

AWS Database Migration Engineer

• Demonstrated expertise in cloud security architecture across AWS/GCP/Azure, including designing secure, scalable cloud environments with a strong focus on identity, network security, encryption, and compliance best practices.
• Extensive experience conducting security architecture reviews for distributed systems and cloud-native applications, identifying design risks early and recommending secure, scalable architectural patterns aligned with business and engineering goals.
• Perform and lead manual and automated penetration testing across applications, APIs, and cloud services
• Drive threat modeling and secure architecture reviews across app and infrastructure layers
• Collaborate with Infra/DevOps on cloud network architecture, including VPC design, security groups, routing, and segmentation
• Design and advise on cloud-native security controls — IAM hardening, role boundaries, secrets management, least privilege
• Evaluate and improve Kubernetes and container security posture (runtime, image, and network layers)Implement secure-by-default patterns across SDLC, CI/CD, and Infrastructure-as-CodeMonitor emerging threats, CVEs, and vulnerabilities relevant to our stack (web, cloud, infra)
• Influence internal security tooling, automation pipelines, and security review processes
• Serve as a security advisor to engineering, SRE, and product teams across key projects

Lead Security Engineer – Cloud Security, Architecture

• Design, develop, and maintain scalable software applications.
• Collaborate with cross-functional teams to define, design, and ship new services and features.
• Write clean, maintainable, and efficient code.
• Participate in code reviews and provide constructive feedback.
• Automate tasks through appropriate tools and scripting
• Collaborate with internal teams and vendors to fix and improve products
• Test software to ensure responsiveness and efficiency
• Troubleshoot and debug applications.
• Stay up to date with the latest industry trends and technologies.

Product Developer – .Net, Azure Cloud, Docker, Kubernetes, AKS

• Design and implement software solutions to solve engineering and architectural design problems.
• Develop, Maintain and improve existing company products.
• Work closely with product management to gather software requirements.
• Work with project team to plan, analyze and estimate project timelines.
• Contribute to continuous improvements within the agile software development process.
• Collaborate with other stakeholders and be accountable to each other to achieve the project’s vision.

Senior Software Engineer – C#, .Net, Azure, React

• Monitor and investigate cloud‑application‑related security alerts generated by Microsoft Defender for Cloud Apps (MDCA) under defined CSOC processes.
• Perform alert triage and initial investigation to determine scope, user impact, risk level, and business relevance.
• Support investigation of incidents involving risky cloud apps, OAuth abuse, data exposure, suspicious user activity, and abnormal cloud access patterns.
• Assist in containment and remediation activities in coordination with Identity, Endpoint, Email, and IT platform teams.
• Escalate complex or high‑risk cloud‑app security findings to L2/L3 specialists or Incident Managers with structured analysis and evidence.
• Analyze user behavior, activity logs, and cloud telemetry to identify anomalies and suspicious activity.
• Support policy tuning, alert refinement, and basic detection improvements to reduce false positives and improve signal quality.
• Assist with shadow IT discovery, cloud app risk assessments, and enforcement of cloud app governance policies.
• Support CSOC playbooks, runbooks, and response procedures related to cloud application security incidents.
• Participate in post‑incident reviews and RCA discussions, contributing operational findings and improvement ideas.
• Maintain accurate investigation notes, incident documentation, and response records.
• Work closely with CSOC L1/L2 analysts, Identity, Endpoint, Email Security, and IT operations teams.
• Support audit and compliance activities related to cloud application security controls when required.

Cloud App Security Engineer – Consultant

• Design and Implementation of cloud network architectures, primarily in AWS
• Implement and manage core AWS networking services such as Route 53, Direct Connect, and VPNs
• Optimize network performance for high availability
• Ensure multi-tenant isolation and resource management
• Identify and design system security requirements using security best practices and compliance requirements
• Develop standard operating procedures and protocols
• Monitor and troubleshoot network issues
• Develop and maintain infrastructure as code using Terraform for AWS resources
• Implement GitOps workflows
• Design and implement monitoring solutions using Prometheus and DataDog
• Lead troubleshooting of complex platform issues related to networks
• Participate in on-call rotation

Platform Engineer III – AWS Network

• Actively contribute within a team of Engineers and Architects to design, prototype, and deliver scalable data and AI solutions, including proof of concepts (POCs) and production deployments.
• Design and build scalable data pipelines and processing frameworks using Azure services, Databricks, and PySpark across large-scale enterprise environments.
• Collaborate with business and technical stakeholders to translate requirements into robust data architectures and AI-enabled solution designs.
• Develop and operationalize AI-enabled data use cases, including: Integration of enterprise data with LLM-based applications, Implementation of Retrieval Augmented Generation (RAG) solutions, Enabling intelligent data discovery and consumption using AI tools.
• Implement end-to-end data solutions adhering to best practices in data engineering, including performance optimization, scalability, and reliability.
• Work with modern AI and data ecosystems (e.g., Azure OpenAI, LangChain) to enable intelligent data workflows integrated with enterprise platforms.
• Contribute to CI/CD pipelines, automation, and deployment processes for both data pipelines and AI workflows.

Senior Azure AI Data Engineer

• Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies, including data acquisition, transformation, analysis, Modelling, Governance & Data management skills
• Interact with senior client technology leaders, understand their business goals, create, propose solution, estimate effort, build architectures, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using ADB, ADF, PySpark, Python, Snypase
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies
• Have managed team and have experience in end to end delivery
• Have experience of building technical capability and teams to deliver

Manager – Azure Data Architect

• Participate actively in a team of Engineers and Architects, leading the development of prototypes, conducting proofs of concept, and providing recommendations through the design, development, and/or operation of complex technological environments.
• Collaborate closely with both business and technical resources, meeting requirements with concrete designs and implementing these designs effectively.
• Conduct regular training sessions for our business and technology partners, focusing on enterprise data quality standards, guidelines, and processes.

Senior Azure Databricks Engineer

• Technical leadership role uniting and guiding stakeholders from clients, governance, and project executives to delivery
• Understand what’s needed and figure out the best technical solution
• Deliver the right product on time and within budget
• Consult early, gather inputs, and understand what clients need from our solution
• Design the best solution for the job and lead implementation

Infrastructure/Cloud Architecture

• Participation in customer’s cloud delivery projects
• Understand customer's functional and technical requirements
• Collaborate on design and implementation of Cloud solutions
• Conduct testing and upgrade of software/hardware before implementation to the customer's environment
• Provide expert support during installation and acceptance activities

Consultant – Cloud Infrastructure Services

• Design, develop, and implement scalable and reliable data solutions on the Microsoft Azure platform.
• Collaborate with cross-functional teams to gather and analyze data requirements.
• Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability.
• Perform data integration and transformation activities, ensuring data quality and consistency.
• Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability.
• Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy.
• Collaborate with data scientists and analysts to support their data needs and enable data-driven insights.

Azure Data Engineer, Databricks Certified

• Build scalable cloud-native solutions.
• Develop automation frameworks.
• Integrate infrastructure platforms.
• Create engineering tools and dashboards that improve operational efficiency.

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