Jobs at ELEKS

Lead software development for biopharma process automation, designing reliable .NET solutions and contributing throughout the SDLC. Responsibilities include architecture improvements, code reviews, task estimation, stakeholder communication, team coordination, mentoring, training, technical consulting, proposal development, and maintaining software quality and performance standards.

Manage day-to-day delivery of an enterprise integration digital platform: maintain plans and Jira boards, coordinate workstreams, track milestones, manage scope/risks/dependencies, prepare status reports, support testing/UAT, releases and Go‑Live, and align business and technical stakeholders.

Gather and analyze business needs, translate them into functional and solution requirements, and support solution design for a unified digital platform. The role evaluates existing tools, user flows, processes, integrations, and data sources; facilitates stakeholder workshops; maintains requirements documentation; and collaborates with Product, UX, Architecture, Development, and QA teams throughout Agile delivery to ensure measurable business value.

Coordinate immigration processes for international employees, manage documentation, support employment changes, and ensure compliance with laws.

Design, execute, and document tests for client-server desktop applications; set up test environments, prepare test data, maintain and review test documentation, use test management tools, report progress, and collaborate with the team and stakeholders.

Design and architect enterprise-grade MLOps and LLMOps platforms, build deployment strategies and CI/CD pipelines, define model lifecycle and governance, implement monitoring/observability and evaluation frameworks, collaborate with researchers and DevOps, and advise stakeholders on operationalizing secure GenAI solutions.

The Senior Data Engineer will develop databases, data lakes, and data ingestion pipelines, ensuring scalable solutions and engaging with stakeholders across various departments.

Design and lead enterprise graph database and semantic data architectures, define ontologies and knowledge graph structures, integrate graph systems with cloud platforms, support LLM and AI use cases, run discovery workshops, document architecture, and mentor engineering teams.

Design and lead scalable enterprise data architectures using PostgreSQL and graph databases. Define logical and physical data models, optimize performance, modernize databases, integrate relational and graph systems, support AI/analytics platforms, produce governance documentation, and guide engineering teams through implementation.

Lead strategy, architecture, and operating model for an enterprise AI-ready data platform. Define semantic models, knowledge graph and ontology standards, data governance, APIs, and commercialization for reusable intelligence products. Drive platform evolution, technology selection, cross-functional partnerships, and build a high-performing data architecture and engineering team supporting LLMs, RAG, vector search, and regulated environments.

Design end-to-end cloud-native AI and data platform architectures enabling Digital Twin and Knowledge Graph solutions. Lead architecture discussions, define scalable platform patterns, collaborate with AI/data/infrastructure teams, evaluate emerging AI technologies, produce technical documentation, and support solution discovery and roadmap planning.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Design and build AI-powered features using LLMs, develop and maintain Java/Python backend services, implement prompt engineering, evaluate model outputs, integrate AI capabilities with product teams, and follow Agile/Scrum practices.

Lead QA strategy and automation for complex, multi-product healthcare systems. Plan and coordinate functional and regression testing, manage defects, integrate automated tests with CI/CD, perform SQL-based validation, mentor testers, and report progress and metrics to stakeholders.

Create and maintain software technical documentation and templates, interview SMEs, estimate and track documentation tasks, ensure docs follow client style guides and publication standards, mentor junior staff, and participate in IDO competence development.

Design, develop, and maintain scalable backend services and distributed systems using Scala, Java, and the Akka ecosystem; build RESTful APIs and cloud-native solutions on AWS; design data access with Slick/SQL; maintain CI/CD pipelines; participate in architecture, code reviews, troubleshooting, and performance improvements.

Support Customer Engagement Managers in pre-sales: prepare RFI/RFP responses, proposals, presentations, and customer materials; coordinate stakeholders and delivery teams; maintain SharePoint knowledge base; support multiple engagements and improve pre-sales processes using AI tools.

Lead configuration and integration of ServiceNow Change and Release Management for a POC, build CI/CD toolchain integrations, translate stakeholder workflows into platform configuration, deliver a working POC and roadmap, and apply ServiceNow best practices and standards.

Design compliant, competitive end-to-end solutions for government tenders and RFPs. Gather stakeholder needs, define architecture drivers and NFRs, produce estimates, trade-off analyses, technical proposal content, proofs of concept, and support presales workshops and transition to delivery.

The Talent Sourcer will identify and engage top technical talent, develop sourcing strategies, and build high-quality talent pipelines for the Talent Acquisition team.