Zensar Technologies

Senior Salesforce Developer / Consultant (Financial Services Cloud) We are seeking a Senior Salesforce Developer with strong functional consulting skills to play a key role in the delivery of enterprise-scale CRM transformation initiatives, with a particular focus on Salesforce Financial Services Cloud (FSC). This role combines deep technical expertise with business-facing consulting capability, requiring an individual who can both design and build scalable Salesforce solutions and engage effectively with stakeholders across business and technology teams. The successful candidate will have experience working with financial services or banking clients, ideally within a top-tier consulting environment, and will be comfortable operating in complex, regulated environments.

Zensar Technologies is looking for a Senior Salesforce Developer / Consultant specializing in Financial Services Cloud to lead CRM transformation initiatives. This position requires strong functional consulting skills combined with deep technical expertise. The ideal candidate will engage effectively with stakeholders, focusing on designing and building scalable Salesforce solutions within a top-tier consulting firm. Experience in financial services or banking is essential.

Zensar Technologies is seeking a Cloud Native Engineering expert in Reading, UK. This role demands experience in AWS services, along with proficiency in Dynatrace and microservices design. The candidate should possess strong skills in Docker and automation tools, along with excellent communication abilities. This position focuses on deploying and configuring solutions in complex cloud environments while promoting a collaborative team culture. We are an equal opportunity employer, committed to an inclusive workplace.

AES - DE - CLOUD NATIVE ENGINEERING - AWS United Kingdom Job Description Expert-level experience designing, deploying, and configuring Dynatrace in complex environments (including integrations, alerting, and dashboarding). Deep hands-on knowledge of AWS core services (EC2, ECS, EKS, Lambda, S3, RDS, VPC, IAM, CloudFormation, etc.) and best practices for secure, scalable architectures. Strong understanding of microservices design, deployment, and troubleshooting in cloud-native environments. Containerization (Docker & ECS) Advanced skills with Docker, ECS (Elastic Container Service), and container orchestration (including networking, scaling, and security). Monitoring & Observability Deep experience with CloudWatch, Dynatrace, and other monitoring/alerting tools for distributed systems. Ability to analyze, debug, and reverse engineer issues across distributed AWS-based microservices. Automation & Infrastructure as Code Proficiency with automation tools (CloudFormation, Terraform, CI/CD pipelines) for repeatable infrastructure and application deployments. Strong communication skills for working with cross-functional teams and documenting technical solutions. Qualifications Expert-level experience designing, deploying, and configuring Dynatrace in complex environments (including integrations, alerting, and dashboarding). Deep hands-on knowledge of AWS core services (EC2, ECS, EKS, Lambda, S3, RDS, VPC, IAM, CloudFormation, etc.) and best practices for secure, scalable architectures. Strong understanding of microservices design, deployment, and troubleshooting in cloud-native environments. Containerization (Docker & ECS) Advanced skills with Docker, ECS (Elastic Container Service), and container orchestration (including networking, scaling, and security). Monitoring & Observability Deep experience with CloudWatch, Dynatrace, and other monitoring/alerting tools for distributed systems. Ability to analyze, debug, and reverse engineer issues across distributed AWS-based microservices. Automation & Infrastructure as Code Proficiency with automation tools (CloudFormation, Terraform, CI/CD pipelines) for repeatable infrastructure and application deployments. Strong communication skills for working with cross-functional teams and documenting technical solutions. Equal Opportunity Employer We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Zensar Technologies is urgently seeking an AI Engineer for an onsite role in the UK, with an initial engagement of 3-6 months. The ideal candidate should have strong expertise in low-code/no-code automation platforms, excellent problem-solving capabilities, and the ability to collaborate effectively across teams. Experience in integrating AI into enterprise workflows and familiarity with Claims operations is beneficial. This is a fast-paced environment requiring quick understanding and effective solution recommendations.

Delivery & Architecture Own end-to-end delivery of AI-native programs - from architecture through production deployment Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets Define agent topology: tool routing, memory strategy, state machines, fallback handling Agentic Coding & Development Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use Debug non-deterministic agent outputs systematically - not by gut feel Client & Stakeholder Engagement Translate business problems into agent architectures for global CXO-level stakeholders Run discovery workshops, solution reviews, and delivery cadences with client teams Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end Team & Practice Mentor junior AI engineers; raise AI engineering quality across the delivery team Stay current: evaluate new models, frameworks, and tooling before the hype catches up Contribute to internal knowledge bases, reusable frameworks, and accelerators Skills Agent Orchestration LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores Chroma, Weaviate, Pinecone - knows where RAG breaks LLM APIs & SDKs Anthropic, OpenAI, Gemini - prompt design, tool use Python / TypeScript Primary languages for agent + backend development LangSmith / Observability Tracing, evaluation, debugging agent runs Cloud Platforms Azure, AWS, GCP - deployment, infra, managed services API & System Integration REST, gRPC, Kafka - enterprise integration patterns MCP / Shared Context Model Context Protocol, CLAUDE.md, Beads Agent Evaluation Testing non-deterministic outputs, guardrails, evals CI/CD & DevOps Git, containers, pipelines - agents need to ship Client Communication Can present architecture to a CXO without jargon What You Must Have Actually Done Not just what you know. What you have shipped. Deployed 2-3 agent-based systems in production - stateful, multi-step, real users Used LangGraph for multi-agent orchestration with memory, tool routing, and state management Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation Integrated agents with real enterprise APIs - not just OpenAI playground or sample data Debugged a production agent failure - and fixed it without blaming the model Can articulate when NOT to use agents - that is how we know you have built things Bonus - Real Differentiators Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows) Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling QA/testing mindset for agents - systematic evaluation of non-deterministic outputs Background in IT services or consulting - managing client expectations while building Experience with SLMs, fine-tuning, or on-device/edge agent deployment

Zensar Technologies is looking for a skilled professional to oversee the end-to-end delivery of AI-native programs in Greater London. You will design multi-agent orchestration systems using advanced tools, integrate with enterprise APIs, and engage with clients at CXO levels. The ideal candidate has hands-on experience deploying agent-based systems, debugging failures, and mentoring junior engineers. A strong background in agent orchestration, AI coding tools, and system integration is essential.