Jobs at Accenture

Develop and enhance custom software components and enterprise integration solutions using Oracle Siebel eAI. Collaborate across teams, make technical decisions, troubleshoot complex integration issues, and improve software quality and team productivity. The role also involves mentoring junior engineers, applying agile software development practices, and supporting scalable, high-performing solutions.

Provide consultative business and system integration services using ServiceNow ITSM. Translate client needs into scalable technology solutions, lead transformation and application design discussions, troubleshoot complex integration issues, coordinate cross-functional teams, make team decisions, and mentor junior staff. The role requires expertise in integration methodologies, ServiceNow workflow automation, and process optimization.

Develop and enhance custom software components using modern frameworks and agile practices. Collaborate with cross-functional teams to gather requirements, design scalable solutions, troubleshoot performance issues, integrate manufacturing execution systems, and document development processes. The role also involves independently delivering solutions, contributing to team discussions, becoming a subject matter expert, and mentoring junior team members.

Analyze, design, code, test, maintain, and enhance application components for client projects using Python. Collaborate with cross-functional teams, document code and processes, troubleshoot complex issues, improve software performance and reliability, and support junior team members while contributing independently as a subject matter expert.

Designs and implements development tools, cloud infrastructure, and secure CI/CD pipelines. Leads automation and deployment optimization, manages containerized environments, collaborates across teams, makes technical decisions, solves complex infrastructure problems, and mentors junior engineers. The role requires expertise in DevOps architecture, AWS, CloudFormation, Python, continuous integration and deployment, container orchestration, infrastructure security, and scalable cloud solutions.

Design and implement scalable development tools, cloud infrastructure, and secure CI/CD pipelines. Build and test deployment workflows, integrate container orchestration and cloud technologies, optimize processes, and improve system security. The role also involves technical leadership, team collaboration, mentoring, knowledge sharing, and providing solutions across multiple teams.

Design, develop, and maintain data solutions, pipelines, and ETL processes for data collection, integration, migration, and deployment. Ensure data quality, monitor and optimize pipeline performance, and collaborate with cross-functional teams to meet data requirements. The role requires independent execution, subject matter expertise, and proficiency in AWS Analytics, data warehousing, data modeling, database design, and cloud-based storage.

Develop, design, code, and enhance custom Python software components across systems and applications. Collaborate with cross-functional teams using modern frameworks, agile practices, and software development lifecycle methodologies to deliver scalable, high-performing solutions. Act as a subject matter expert, manage team performance, make technical decisions, solve cross-team problems, mentor junior developers, and improve development processes. The role is based in Pune and requires at least five years of Python experience and 15 years of full-time education.

Designs and implements scalable development infrastructure, secure CI/CD pipelines, cloud solutions, and containerized deployment environments. Monitors and troubleshoots systems, integrates security and compliance practices, collaborates across teams, and mentors engineers. Requires expertise in DevOps architecture, AWS, CloudFormation, Python, automation, monitoring, and cloud infrastructure management.

Designs and implements scalable development infrastructure, CI/CD pipelines, cloud environments, container orchestration, and automation tools. Ensures deployment systems are secure, reliable, and performant while monitoring risks and bottlenecks. Collaborates across teams, leads technical decisions, provides solutions, and mentors team members. Requires expertise in DevOps architecture, AWS, CloudFormation, Python, infrastructure as code, and secure automation, with at least five years of experience.

Designs and implements scalable development tools, cloud infrastructure, and secure CI/CD pipelines. The role manages container orchestration, automation, deployment processes, and security best practices while coordinating across teams. Responsibilities include serving as a subject matter expert, making technical decisions, mentoring team members, solving cross-team problems, and aligning DevOps practices with organizational goals.

Design, develop, and maintain data solutions, pipelines, data models, and ETL processes using AWS Analytics. Ensure data quality, governance, scalability, and reliability across data warehouses and lake architectures. Collaborate with data scientists, analysts, and cross-functional teams to address data requirements, support business intelligence initiatives, optimize workflows, and make data accessible for stakeholders.

Build and configure development tools and infrastructure, design and test end-to-end CI/CD pipelines, and optimize pipeline performance. Apply cloud, container orchestration, configuration management, monitoring, logging, and security practices. Collaborate across teams, make technical decisions, provide solutions, manage team performance, and facilitate knowledge sharing.

Provides functional support for SAP Plant Maintenance, resolving incidents and service requests, performing root cause analysis, configuring solutions, and supporting corrective, preventive, and calibration maintenance processes. Coordinates enhancements and defect fixes with technical teams, ensures SLA compliance and data accuracy, manages cross-functional deliverables, mentors junior staff, and drives process improvements. Requires expertise in SAP PM, WRICEF objects, requirements documentation, master data, Solution Manager, ServiceNow, and enterprise integrations.

Develop and enhance custom software solutions using Spring Boot, RESTful APIs, microservices, cloud platforms, and SQL. Collaborate across teams, make technical decisions, solve complex problems, mentor junior engineers, and improve development processes. The role requires subject matter expertise, agile delivery practices, and responsibility for scalable, high-performing applications.

Design, develop, and maintain scalable data solutions and ETL pipelines using AWS Glue and PySpark. Ensure data quality, optimize workflows for performance and cost, monitor and troubleshoot pipelines, document processes, and collaborate with cross-functional teams while mentoring junior engineers.

Lead development of production-ready AI/ML systems focusing on computer vision and image processing. Apply generative AI and deep learning, mentor teams, drive cross-team technical decisions, and deploy solutions on cloud or on-prem pipelines.

Build, maintain, and optimize scalable batch and real-time data pipelines using PySpark, Spark, Python, SQL, and ETL/ELT tools. Design cloud-based data platforms, data lakes, ingestion strategies, and Big Data processing frameworks across AWS, Azure, or GCP. Ensure data quality, security, governance, performance, and availability while collaborating with architects, analysts, data scientists, and engineers.

The Data Modeler collaborates with business representatives, data owners, users, designers, and architects to model current and future data. Responsibilities include analyzing data structures, designing models, facilitating requirements workshops, supporting data integration, applying governance and quality principles, and improving modeling processes. The role acts as a subject matter expert, manages team decisions, and provides solutions across multiple teams.

Analyze, design, develop, test, maintain, and enhance application components using SAP UI5. Collaborate across teams, provide technical solutions, make team decisions, improve development processes, and mentor junior engineers. Build responsive user interfaces, integrate backend services, troubleshoot complex issues, and support client requirements while serving as a subject matter expert.