Accellor

Backend Engineer

• Develop and Code in a full-stack arena using – React, Next.js, Node.js, GraphQL, tRPC, Java with Spring Boot / Kotlin.
• Develop in micro frontend SPA architecture.
• Experience in designing and developing connecting backends with frontend using experience designing and architecting integrations..
• Participate in the prioritization process to bring hidden technical needs to the roadmap.
• Translate business requirements into technical ones with very strong communication skills.
• Guide Junior fellows and help them develop their skills and qualities

Senior Full Stack Software Developer, React, Java/Node JS

Full Stack Software Developer, React, Java/Node JS

Cloud Engineer

• Design, develop, and implement solutions on **Salesforce Financial Services Cloud (FSC)**
• Customize **Account, Household, Financial Account, and Relationship models**
• Build automation using **Flows, Apex, and Lightning components (LWC/Aura)**
• Configure **Salesforce security model** (profiles, permission sets, sharing rules)
• Integrate Salesforce with **external systems (core banking, APIs, data platforms)**
• Support **data migration, data quality, and governance initiatives**
• Partner with business stakeholders (advisors, relationship managers, operations)

Salesforce Financial Cloud Engineer

• Designing, building, and optimizing scalable, compliant, and data-driven customer engagement solutions
• Developing dynamic, personalized content using AMPscript, SSJS, and HTML/CSS
• Monitoring campaign performance and deliverability metrics

Salesforce Marketing Cloud Engineer

Engineer

• Design, Develop, and maintain Guidewire ClaimCenter solutions tailored to business needs.
• Reverse Engineer Existing Codebases to understand legacy implementations and propose improvements.
• Collaborate with cross-functional teams, including business analysts, architects, and other developers, to deliver high-quality solutions.
• Integrate Guidewire ClaimCenter with external systems using robust APIs and frameworks.
• Ensure scalability, performance, and reliability of ClaimCenter implementations.
• Troubleshoot and resolve complex technical issues in ClaimCenter and its integrations.
• Contribute to the planning and execution of system upgrades, migrations, and performance tuning.

Senior Guidewire ClaimCenter Engineer

Architect

• - Create the high-level design of integration solutions and guide implementation teams on the choice of Mule components and patterns to use in the detailed design and implementation
• - Work with technical and non-technical stakeholders to translate functional and non-functional requirements into integration interfaces and implementations
• - Apply standard development methods covering the full development lifecycle (project preparation, analysis, design, development, testing, deployment, and support) to ensure solution quality.
• - Advise technical teams on performance, scalability, reliability, monitoring and other operational concerns of integration solutions on Anypoint Platform.
• - Design reusable assets, components, standards, frameworks, and processes to support and facilitate API and integration projects.
• - Ensure that a quality solution is delivered in a timely manner, within budget and according to the customer satisfaction.

MuleSoft Architect

Project Manager

• Lead end-to-end delivery of Windchill PLM implementations
• Manage program governance, budgets, milestones, and executive reporting
• Oversee BOM management, ECO/ECN workflows, and product data governance
• Coordinate data migration and legacy PLM system rationalization
• Manage PLM integrations with ERP (SAP preferred) and manufacturing systems
• Partner with engineering, manufacturing, supply chain, and IT teams
• Coordinate system integrators and global delivery teams

Project Manager – PTC Windchill PLM

Client Partner

• Own full P&L responsibility for assigned enterprise accounts with proven experience of nurturing and growing the account over multiple years.
• Drive revenue growth, operating margin performance, and long-term account profitability.
• Lead forecasting, pipeline development, and strategic account planning.
• Monitor and improve project margins through disciplined governance and delivery oversight.
• Conduct regular financial and operational reviews with delivery, finance, and executive leadership teams.
• Identify, qualify, and close new, renewal, and expansion opportunities across AI, data, cloud, and digital engineering portfolios.
• Develop and execute multi-year account growth strategies aligned to client business priorities.
• Leverage deep industry networks to expand executive relationships and uncover transformation initiatives.
• Lead complex deal cycles, including executive presentations, proposal strategy, and commercial negotiations.
• Build and sustain strong CxO, EVP, SVP, and VP-level relationships.
• Serve as a trusted advisor on digital strategy, AI adoption, and enterprise modernization.
• Navigate matrixed client organizations to align stakeholders and drive consensus.
• Ensure flawless execution across all service lines within the account.
• Partner closely with practice and delivery leaders to maintain high-quality outcomes.
• Lead quarterly business reviews (QBRs) and executive steering committees.
• Drive innovation agendas and identify opportunities for continuous improvement.

Sales

• Design and configure scalable promotions frameworks including:
• Coupons, vouchers, promo codes
• Flash discounts and bundles
• Cashback and referral incentives
• Define eligibility logic, stacking rules, validation workflows, and redemption orchestration.
• Partner with marketing and product teams to enable campaign-driven and personalized offers.
• Establish governance standards for lifecycle management of promotions.
• Design and implement loyalty programs including:
• Tier structures
• Points accrual/redemption logic
• Rewards and benefits configuration
• Gamification mechanics
• Configure segmentation, engagement triggers, and omnichannel loyalty experiences.
• Align loyalty journeys across mobile apps, web platforms, and CRM touchpoints.
• Define end-to-end solution architecture integrating Salesforce with:
• Mobile applications
• Identity providers (SSO)
• Billing and subscription platforms
• Partner ecosystems
• Design APIs and data flows for promotion validation, entitlement management, and loyalty transactions.
• Support partner incentive settlement and reporting workflows.
• Ensure scalable, secure, and high-performance system design.
• Lead discovery workshops to define roadmap priorities and translate business strategy into scalable Salesforce solutions.
• Partner with marketing, product, engineering, and operations stakeholders.
• Align customer acquisition, retention, and engagement strategies with technical execution.
• Provide architectural and functional leadership across implementation phases.
• Produce architecture diagrams, sequence flows, and technical documentation.
• Support QA, UAT, deployment planning, and production rollout.
• Define standards for performance, security, and anti-abuse logic.

Salesforce Promotions Engine – Loyalty Management Architect

• Design, develop, and maintain high-performance, modular, and scalable Java applications using Spring Boot 3.4.x.
• Architect and implement cloud-native solutions, ensuring best practices for distributed systems, reliability, maintainability, and observability.
• Integrate observability into applications, including metrics collection, distributed tracing, structured logging, and proactive monitoring.
• Collaborate with cross-functional teams to deliver robust RESTful APIs and microservices.
• Optimize application performance, memory usage, and reliability.
• Lead and mentor junior engineers, performing code reviews and setting engineering best practices.
• Integrate and utilize AI coding assistants (such as GitHub Copilot or similar tools) to accelerate development and improve code quality.
• Contribute to the evolution of our architecture and technology stack with a focus on modern Java, modularization, cloud technologies, and observability.
• Ensure security, compliance, and observability of all deployed services.
• Participate in Agile development processes, including planning, estimation, and retrospectives.

Senior Java Developer

AI Engineer

• Design and implement production-grade agentic AI systems using frameworks such as LangChain, LangGraph, and other open-source LLM orchestration tools
• Build multi-agent workflows with memory, tool use, reasoning chains, and autonomous decision-making
• Develop RAG (Retrieval-Augmented Generation) systems integrated with marketing data sources
• Implement evaluation, guardrails, observability, and continuous improvement loops
• Architect scalable AI systems using AWS services
• Deploy and manage AI agents in secure, production cloud environments
• Implement CI/CD and MLOps best practices for model lifecycle management
• Build AI-driven solutions for:
• Campaign content generation
• Customer segmentation and targeting
• Conversational marketing agents
• Lead qualification agents
• Performance analytics automation
• Integrate AI agents with CRM, CDP, marketing automation, and analytics platforms
• Collaborate with marketing stakeholders to translate business needs into AI-driven workflows
• Provide technical leadership and architecture direction for AI initiatives
• Mentor engineers and establish engineering standards for AI systems
• Define best practices around prompt engineering, model selection, safety, and responsible AI
• Drive evaluation frameworks for LLM accuracy, cost optimization, and performance

Lead AI Engineer

Data Engineer

• Design, build, and maintain scalable, secure, and high-performance data pipelines in AWS
• Architect and optimize Snowflake data warehouse environments
• Develop and maintain ETL/ELT workflows for structured and semi-structured data
• Implement data modeling best practices (dimensional modeling, star/snowflake schemas)
• Ensure data quality, governance, lineage, and observability
• Optimize performance and cost efficiency across AWS and Snowflake environments
• Collaborate with analytics, data science, and business teams to translate requirements into scalable data solutions
• Implement CI/CD processes for data workflows
• Mentor junior data engineers and establish engineering best practices

Senior Data Engineer

Product Manager

• Own and manage the product backlog for data, analytics, and AI initiatives
• Define user stories, acceptance criteria, and measurable business outcomes
• Lead sprint planning, backlog grooming, and prioritization sessions
• Collaborate with Scrum Masters and engineering teams to ensure timely delivery
• Balance technical debt, innovation, and business priorities
• Drive product strategy for data platforms, BI systems, and analytics workflows
• Partner with data engineering teams to define scalable pipeline and reporting capabilities
• Ensure data governance, quality, and performance standards are incorporated into product plans
• Translate analytics use cases into technical requirements for implementation
• Define and prioritize AI use cases leveraging **Agentic AI systems** (multi-agent workflows, RAG systems, LLM-powered automation)
• Collaborate with AI engineers to design and deploy AI agents that drive measurable business outcomes
• Define evaluation metrics for AI performance, accuracy, reliability, and cost efficiency
• Ensure responsible AI practices and guardrails are embedded in product requirements
• Act as the primary liaison between business stakeholders and technical teams
• Communicate product vision, roadmap, and delivery timelines
• Align AI and data initiatives to measurable ROI and operational impact

Product Owner

Product Designer

• - Design user interfaces for web and mobile products that are easy to use and visually appealing
• - Create wireframes, prototypes, and high-fidelity mockups
• - Conduct user research and usability testing to validate design decisions
• - Work directly with product managers and developers to turn ideas into finished products
• - Make design decisions independently without needing constant oversight
• - Deliver design work on tight deadlines while maintaining quality
• - Present and explain your design choices to stakeholders
• - Iterate quickly based on feedback and testing results
• - Maintain design systems and ensure consistency across all products

Senior UI/UX Designer

• Develop and maintain robust data pipelines to collect, transform, and process large datasets from various sources, ensuring timely and accurate delivery of data for analytics and reporting.
• Work with the Lead Engineer to automate business processes, automate the movement of data within the organization, and orchestrate the exchange of data with external partners.
• Collaborate with other department managers and business leaders to complete organizational goals and strategic priorities and support critical processes.
• Optimize data architecture and performance by leveraging modern technologies and by implementing performance-tuning strategies for databases, procedures, and functions.
• Automate data workflows to improve efficiency and scalability, while ensuring data integrity, hygiene, and cost efficiency.
• Work closely with business stakeholders to gather requirements, translate them into technical specifications, and deliver solutions within project timelines.
• Troubleshoot and resolve data and reporting issues, driving continuous improvement in analytic capabilities.