Salesforce & Workday QA Engineer

Role Summary:

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and Generative AI/Claude to work closely with clients, business stakeholders, and internal engineering teams. The ideal candidate will combine strong Data Engineering, Software Engineering, Databricks, and Generative AI skills with the ability to understand business problems and rapidly build, deploy, and optimize production-ready solutions. This is a client-facing, hands-on engineering role where you will work from problem discovery and solution design through POC development, production deployment, and ongoing optimization.

Key Responsibilities:

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable data, AI, and software solutions.
• Design and develop POCs and rapidly validate technical solutions.
• Convert successful POCs into reliable, production-ready applications.
• Work closely with client engineering and data teams during implementation and deployment.
• Troubleshoot production issues and continuously optimize deployed solutions.
• Act as a technical bridge between clients, delivery teams, data engineers, AI engineers, and architects.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize data ingestion, transformation, and ETL/ELT pipelines.
• Work with Databricks Lakehouse, Delta Lake, and Unity Catalog.
• Develop Databricks Workflows and production data pipelines.
• Implement data processing solutions for structured and semi-structured datasets.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Generative AI & Claude

• Build enterprise AI solutions using Claude and other Large Language Models (LLMs).
• Integrate Claude APIs into applications and business workflows.
• Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data.
• Work with embeddings, vector search, semantic search, and knowledge retrieval.
• Develop AI-powered applications for summarization, classification, information extraction, question answering, and document processing.
• Implement prompt engineering, structured outputs, tool/function calling, and context management.
• Develop and integrate AI agents and multi-step AI workflows where applicable.
• Evaluate LLM responses for accuracy, relevance, groundedness, latency, and cost.
• Implement appropriate AI guardrails, security, and data privacy controls.

Production & Deployment

• Deploy AI and data solutions into production environments.
• Work with APIs, microservices, Git, CI/CD, containers, and cloud platforms.
• Monitor application and pipeline performance and troubleshoot issues.
• Collaborate with Data Scientists and ML Engineers to productionize AI/ML models.
• Ensure solutions meet security, scalability, reliability, and maintainability requirements.

Required Skills & Experience

• 4+ years of experience in Data Engineering, Software Engineering, AI/ML Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse Architecture.
• Experience working with Generative AI / LLMs.
• Hands-on experience with Claude / Anthropic APIs is preferred.
• Experience with RAG, embeddings, vector databases, and semantic search.
• Strong understanding of REST APIs and enterprise integrations.
• Experience developing production-grade applications and data pipelines.
• Strong problem-solving and troubleshooting capabilities.
• Excellent communication and client-facing skills.

Preferred Skills

• Experience with Claude Code / Anthropic ecosystem.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, or other LLM platforms.
• Experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, and CI/CD.
• Exposure to AI agents and agentic workflows.
• Knowledge of AI evaluation, guardrails, security, and responsible AI.
• Experience working in consulting, client delivery, or customer-facing engineering environments.

Key Competencies

• Strong customer-facing and stakeholder management skills.
• Ability to understand ambiguous business problems and translate them into technical solutions.
• Strong ownership and execution mindset.
• Ability to rapidly prototype, iterate, and productionize solutions.
• Strong analytical and troubleshooting skills.
• Comfortable working in fast-paced and dynamic client environments.
• Excellent written and verbal communication.
• Ability to work independently as well as collaboratively with distributed teams.

Cloud Expertise(Azure):

• Strong understanding of cloud services and resources like AI services, webapp, database, including monitoring tools like Azure Monitor and Log Analytics.

• Experience with Infrastructure as Code (IaC) tools such as Arm template / Bicep/Terraform.

• Deep understanding of Networking concepts(DNS, DHCP , Hub and Spoke).

• Understanding on policies and security aspects of cloud.

Kubernetes & Helm:

• In-depth knowledge of Kubernetes concepts such as pods, services, ingress, config maps, and secrets.

• Understand of Kubernetes templates and its deployment.

• Proficiency with Helm/ Kustomize or equivalent for Kubernetes package management and deployment automation.

• Implement Kubernetes best practices, including security, networking, and scaling.

• Concepts of Docker and Containers

CI/CD & Programming:

• Hands-on experience with YAML-based CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).

• Familiarity with scripting and automation tools such as PowerShell, Azure CLI, or Bash.

• Proven skill in python programming and concepts.

Monitoring and Observability:

Expertise in creating and managing Grafana dashboards for visualizing metrics and logs.

• Knowledge of Log Analytics & Azure Application Insights for performance monitoring and tracing.

Job Title: AWS Alliance Manager

Location: Hyderabad (On-Site)

About Us:

Oraczen builds production-grade Agentic AI software that helps enterprises buy, make, and sell better. Our platform connects enterprise systems, understands operational data, and converts it into decision intelligence and action.

We deliver two primary product lines:

Scorpio — Supply chain & procurement decision intelligence

Auron — Customer engagement and revenue intelligence using voice-based AI agents

We work with mid-market and enterprise customers across financial services, manufacturing, retail, and life sciences. Our growth strategy relies heavily on hyperscaler ecosystems — especially AWS — as a primary go-to-market channel.

Role Overview: We are seeking an experienced AWS Alliance Manager with 5–10 years of experience to build and operationalize Oraczen’s partnership with Amazon Web Services (AWS) as a scalable revenue channel.

In this role, you will own the AWS relationship across Partner Development Managers, Solution Architects, and field sellers, and convert the partnership into sourced pipeline and closed deals. You will operate at the intersection of sales, partnerships, and strategy — turning AWS from a technology platform into a predictable distribution channel.

Your ability to influence without authority, align with AWS account plans, and create co sell opportunities will directly impact company growth.

Key Responsibilities: AWS Relationship Development:

Act as the primary point of contact between Oraczen and AWS India. Build strong working relationships with:

• AWS Partner Development Managers (PDMs)

• AWS Solution Architects

• AWS Industry Account Executives

• ISV & Marketplace teams

• Position Oraczen internally within AWS as a credible enterprise ISV partner.

Pipeline Generation:

Identify accounts where Oraczen aligns with AWS account plans. Source and qualify opportunities through AWS sellers.

Drive introductions, meetings, and joint customer engagements.

Enable AWS teams to confidently position Oraczen solutions.

Measure success based on opportunities created and pipeline generated.

Co-Sell Execution:

Register and manage opportunities in AWS ACE.

Coordinate joint customer calls, workshops, and deal cycles.

Maintain account mapping and track partner-sourced pipeline.

Build repeatable co-sell playbooks and engagement processes. 

Partner Enablement:

Educate AWS teams on Oraczen use cases:

• Supply chain intelligence

• Procurement & spend analytics

• Sales and service intelligence

• Develop clear messaging for AWS field teams.

• Conduct enablement sessions and partner workshops.

Marketplace & Programs:

Drive customer procurement through AWS Marketplace.Manage AWS programs and incentives including:

• ISV Accelerate

• Co-sell programs

• Funded POCs

• Industry initiatives

• Support enterprise deal acceleration through AWS funding mechanisms.

Qualifications and Skills:

Bachelor’s degree in Business, Technology, or related field. 5–10 years experience in one or more of the following: '

• Cloud alliances

• Enterprise partnerships

• Enterprise software sales

• Hyperscaler ecosystem roles

• Experience working directly with AWS partner ecosystem preferred. Familiarity with AWS ACE, co-sell processes, and Marketplace procurement.

Strong understanding of enterprise SaaS, data platforms, or AI solutions.

Ability to influence cross-organization stakeholders without authority. Excellent communication and executive engagement skills.

Experience working with enterprise customers and account teams. Strong organizational skills with ability to manage multiple deals simultaneously.

Self-driven mindset suited for fast-paced startup environments.

Why Join Us?

Direct impact on pipeline and growth through a strategic hyperscaler channel.

Opportunity to shape Oraczen’s global partner go-to-market motion. High visibility role with leadership and revenue ownership.

Work on real enterprise AI deployments across industries.

Belonging at Oraczen:

We’re building more than just innovative technology — we’re building a culture where people from all backgrounds feel welcomed, valued, and empowered to thrive. Our strength lies in diverse perspectives, and we are committed to cultivating an inclusive environment where everyone can do their best work.

We evaluate applicants based on talent and potential, not background or identity. We welcome candidates of all races, ethnicities, genders, orientations, abilities, and experiences

1. Develop, maintain, and enhance robust backend systems using Python3 and frameworks like Django (mandatory), Flask, and FastAPI (good to have).
2. Design, implement, and maintain highly efficient and automated continuous integration and continuous deployment (CI/CD) processes using Jenkins and configuration management with Ansible.
3. Elevate our testing culture by architecting and implementing innovative testing strategies, focusing on both unit and integration testing to ensure exceptional code quality and extensive coverage.
4. Follow peer-to-peer code reviews and cross-team collaboration to build scalable and reliable solutions.
5. Proficiently work with at least one cloud technology, preferably AWS, to deploy and manage applications in the cloud environment.
6. Possess knowledge of Nginx, load balancing, and scalability to optimize system performance and reliability.
7. Good experience working in distributed micro-service architecture and driving them with crucial requirements like request tracing, debugging critical issues, logging, monitoring, and alerting. 
8. Work in containerized environments using Docker and Docker Compose, and have experience with AWS ECS for container orchestration.
9. Prioritize maintainability and reliability in developing and maintaining software systems, pushing the boundaries of what's possible in our product ecosystem.
10. Collaborate effectively within a team, taking initiatives and driving projects forward with minimal micro-management.
11. Pave the way for maintainable and reliable codebases by introducing novel approaches and best practices in software development.

Requirements

1. Bachelor’s/Master’s degree in computer science.
2. Strong teamwork and communication skills, with a proactive approach to project management and task ownership.
3. Proven track record as an innovative Python developer with a focus on product engineering.
4. Visionary mindset to work in an agile environment, participating in sprint planning, stand-ups, and retrospectives.

Benefits

100% Remote

Insurance

1. Design and Development:

• Design, create, and modify websites.
• Convert written, graphic, audio, and video components to compatible web formats.
• Create website layout/user interfaces by using standard HTML/CSS practices.
• Integrate data from various back-end services and databases.

1. Maintenance and Evaluation:

• Regularly update websites to ensure they are visually appealing, accurate, and reflect the latest content.
• Test websites for ease of use, speed, and other quality factors.
• Fix any bugs or issues that arise.

1. Collaboration and Communication:

• Work closely with web designers and programmers to produce the website.
• Communicate with clients or management about ongoing projects.
• Provide technical support and instruction to other staff or clients.

1. Technical Skills and Knowledge:

• Proficient in HTML, CSS, JavaScript, and other relevant web design coding languages.
• Familiarity with content management systems (e.g., WordPress).
• Experience in server-side frameworks such as python, ruby, php, Java, ASP, ASP.NET.
• Understanding of search engine optimization principles.

1. Project Management:

• Manage individual project priorities, deadlines, and deliverables.
• Maintain and expand/enhance the website once built.

• Planning and scheduling Deliverability Assessments (DA) for critical deals
•  Review of overall solution approach
•  Coordinating with service-line Subject Matter Experts(SME) and facilitating DA
•  Review the solution and identify risks based on experience/expertise in specific service-lines
• Articulation of risks and creation of risk reports based on SME connects
• Coordination with key stakeholders on risk mitigation/closure actions
• Creation of RAID(Risk-Assumption-Issue-Dependency) logs for senior leadership reviews

Job Description:

• Connect and engage with pre generated leads via outbound calls (approx. 80-100 calls).
• Reach out to new customers and explain to them about benefits of the Services/Product Offered.
• Initiate repeat sales by follow up phone calls from existing customers.
• Develop in-depth knowledge of products and services to make suitable recommendations based on customer needs.
• Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.
• Achieve sales targets by new customer acquisition and ensure growth / revenue from existing customers
• Adhere to quality standards and processes within defined metrics.

Required Skills:

• Good communication skills
• Active listening skills
• Strong convincing skills
• Client handling skills
• Ability to handle stress and rejection in soliciting clients

Desired Skills:

• Prior experience in sales/business development/voice process will be preferred
• Solution oriented with effective problem solving skills
• Knowledge of various online portals will be an added advantage.

We are urgently looking for a Zoho Creator developer to create business application. Must be an expert in Zoho Creator, Workflows and Deluge Scripting.  Must be able to work on projects without supervision. Must understand business process flow and business requirements to be implemented in Zoho Creator. Be able to create custom tools and scripts to automate manual business processes. Experience with 3^rd party integration.

Must have solid Zoho Creator experience and have developed large business applications. Will need to see proof of your work.

No chancers and do not waste time applying if you do not have the requisite experience and knowledge!