Specialist Search and Backend Engineer

Job Description Required Skills: Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Secondary Language(s) Job Description: Specialist Search and Backend Engineer The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role overview As a Senior Backend Search and Anaytics Engineer, you will architect and deliver the core backend systems, search engines, data pipelines, and APIs that power Discover. Your work will impact: Platform Search Performance & Discoverability You will improve search relevance, indexing quality, ranking logic, and metadata-driven search experiences trusted by thousands of enterprise users.HighScale API Infrastructure Across the EnterpriseYour API engineering decisions impact integration reliability, data access speed, platform stability, and customer experience. Data Pipelines & Analytics Intelligence ETL workflows, search analytics, and data ingestion pipelines built by you fuel data freshness, insights, and product intelligence. CI/CD Velocity & Engineering Productivity Your work in GitHub Actions and DevOps automation ensures fast, safe, zero-downtime deployments with automated test coverage and quality gates. Enterprise Reliability & Scalability You directly influence uptime, performance, operational efficiency, and cost optimization across AWS and backend services. Key Responsibilities Backend Engineering / API Engineering Design, implement, and optimize Java 11+/17 Spring Boot microservices.Build API-first backend services following standards: versioning, idempotency, pagination, filtering, rate limits, throttling, retries, timeouts, and circuit breakers.Integrate Github Copilot and proficiency in AI coding tools and integration.Understanding of Context EngineeringOwn end-to-end API lifecycle: design build document test deploy monitor.Build and maintain backend systems for search indexing, ranking, metadata enrichment, and analytics pipelines.Write clean, modular, secure code with strong logging, validation, exception handling, and resiliency patterns. Search Analytics & Optimization Capture and analyze search queries, clickstreams, user behavior, autocomplete patterns, and ranking metrics.Optimize search relevance, result ordering, and metadata-driven discoverability.Identify zeroresult searches and implement corrective indexing or transformation logic.Integrate platform telemetry using Google Analytics (GA4) and search instrumentation.ETL, Data Pipelines & Analytics Workflows (Python, Airflow, AWS Glue) Build robust ETL workflows using: Apache Airflow AWS GluePythonAutomate search analytics pipelines, metadata ingestion, data quality scoring, and data lake operations.Maintain data pipelines on AWS S3, ensuring schema integrity, partitioning, and performance optimization. AWS Cloud Engineering Develop and deploy backend services using: Lambda, ECS/EKS, API GatewaySQS/SNS, EventBridgeDynamoDB, RDS/AuroraS3, Glue, CloudWatch, XRayImplement cost optimization strategies across compute, ETL, and API workloads.Implement security & governance standards (IAM fine-grained roles, KMS encryption, secrets management).Quality Engineering Build and maintain robust test suites:Unit testing JUnit, MockitoIntegration testing TestcontainersContract testing OpenAPI validatorsLoad/Performance testing JMeter/LocustWork with QA to establish backend test automation frameworks and quality gates. GitHub Actions, CI/CD & Dev