Total 11 Senior Executive process development engineer job vacancies in Pune

MRI-Simmons is seeking an Automation Engineer with hands-on ability in designing, developing, and implementing automated tests using Playwright for our web applications. The ideal candidate will be comfortable collaborating with cross-functional teams to ensure quality and reliability of all application features/functions.

• Test Automation Development: Design, develop, and maintain automated test scripts using Playwright to validate the functionality of web applications.

• Test Planning: Collaborate with QA analysts and developers to understand requirements and develop comprehensive test plans and strategies.

• Execution and Reporting: Execute automated test scripts, analyze test results, and report defects using appropriate tools and methodologies.

• Continuous Integration: Integrate automated tests into CI/CD pipelines for continuous testing and deployment. • Test Framework Maintenance: Maintain and enhance the test automation framework to improve efficiency, reliability, and scalability.

• Code Reviews: Participate in code reviews to ensure test scripts are well-written, efficient, and follow coding best practices.

• Documentation: Create and maintain technical documentation related to test automation processes, frameworks, and scripts.

• Collaboration: Work closely with developers, QA analysts, and other stakeholders to identify testing requirements and ensure timely delivery of high-quality software.

Senior Engineer, Cyber – Product Security

NielsenIQ is maturing its Application Security programs and is recruiting an Application Security Engineer who will be responsible for supporting the rollout of DevSecOps capabilities and practises across all geographies and business units.  

As the Application Security Engineer, you will be responsible for integration, maintenance and analyses of the tools and technologies used in securing NIQ products/application throughout their development. You will oversee application security capabilities within a multi-national matrixed environment. The application security engineer will have the opportunity to replace the current Static and Dynamic Application Security Tool and advocate for the tech stack used for monitoring. 

This position will involve working closely with development/engineering teams, business units, technical and non-technical stakeholders, educating them and driving the adoption and maturity of the NIQ’s Product & Application Security programs. 

Responsibilities  

• Collaborate within Product Security Engineering and Cybersecurity teams to support delivery of its strategic initiatives. 
• Work with engineering teams (Developers, SREs & QAs) to ensure that products are secure on delivery and implement provided security capabilities. 
• Actively contribute to building and maintaining Product Security team security tools and services, including integrations security tools in the CI/CD process 
• Report on security key performance indicators (KPIs) to drive improvements across engineering teams’ security posture. 
• Contribute to Product Security Engineering team security education program and become an advocate within the organization’s DevSecOps and application security community of practice. 
• Review IaaS / PaaS architecture roadmaps for the cloud to and recommend baseline security controls and hardening requirements, supporting threat modelling of NIQ’s products. 

MRI-Simmons is seeking Senior Business Analyst with analyzing complex business processes, identifying areas for improvement, and developing strategic recommendations by leveraging data insights to drive organizational goals. The ideal candidate works closely with product managers and stakeholders across various departments to understand business needs, design solutions, and ensure successful implementation of new systems or processes, typically managing more complex projects and providing guidance to developers and other analysts.

Roles and Responsibilities:

• Business Needs Assessment: Conduct in-depth analysis of business operations, identifying pain points, inefficiencies, and opportunities for improvement across different departments. 
• Requirements Gathering: Elicit, document, and prioritize detailed business requirements from stakeholders, ensuring alignment with overall business objectives.
• Data Analysis: Utilize data analysis tools to extract meaningful insights from large datasets, identifying trends and patterns to inform decision-making.
• Solution Design: Develop comprehensive solutions, including process improvements, system enhancements, or new applications, considering cost-benefit analysis and feasibility.
• Stakeholder Management: Build strong relationships with key stakeholders, effective communication of analysis findings, recommendations, and project updates.
• Project Management: Lead and oversee business analysis activities on complex projects, ensuring timely delivery and adherence to project scope.
• Change Management: Facilitate the transition to new processes or systems, providing training and support to end-users.

Job Description

We are looking for you, a Senior Software Engineer to help us build and maintain the next tools or processes that will help the business to overcome our challenges. Help us design, implement and evolve our data analysis tools within a dynamic team working with various technologies.

As a Senior Software Engineer, you will have following key accountabilities:

• Set up, build and maintain WinForms applications (C # / VB.NET) and Office
• Development and maintenance of Backend code on Web tools (C # / ASP.NET)
• Initiate and participate in reflections on the implementation of solutions
• Provide guidance on technology and tooling choices to the team
• Be proactive in the face of various issues
• Respond to the challenges of tool performance
• Participate and support the technological choices of the team (monitoring, mutual aid, presentations, ...)

• Avoid scope-creep, over-engineering, under-testing and technical debt
• Learning our business domain
• Using good software engineering principles and best practices to solve business problems

Essential Duties and Responsibilities

As a Senior Software Engineer, you will play a pivotal role in designing, developing, and delivering high‑quality software solutions while driving engineering excellence across the team. Your key responsibilities include:

• Designing, developing, enhancing, and maintaining backend services and applications using Java, Spring Boot, microservices architecture, and RESTful APIs.
• Collaborating closely with product managers, designers, QA engineers, and cross‑functional teams to gather requirements and deliver scalable, reliable solutions.
• Ensuring code quality, maintainability, and adherence to engineering best practices.
• Conducting comprehensive code reviews and offering constructive technical feedback to peers.
• Debugging, troubleshooting, and resolving complex technical issues in production and non‑production environments.
• Working with DevOps teams to support deployment, orchestration, and monitoring of cloud‑native applications.
• Staying current with emerging technologies, industry trends, and modern engineering practices.
• Mentoring junior team members and contributing to a culture of technical excellence, collaboration, and continuous improvement.

Expectations of the Role

• Availability to work 2 PM – 11 PM IST.

• Work location: Eversana Pune office, with a 5‑day in-person work schedule.

• Strong analytical and problem‑solving mindset.
• Effective communication skills across all levels of the organization.
• Demonstrated commitment to continuous learning and growth.
• Ability to collaborate effectively with internal teams, clients, and external partners.

Qualifications

Minimum Knowledge, Skills, and Abilities

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• 6+ years of hands‑on experience as a Software Engineer building enterprise-level applications.

• Strong proficiency in Java and solid understanding of object‑oriented design principles.
• Extensive experience with Spring Boot, Spring Framework, and Spring MVC.
• Proven expertise in microservices architecture and RESTful API development.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools such as Docker and Kubernetes.
• Knowledge of observability and monitoring tools such as Splunk, AppDynamics, Prometheus, Grafana, or ELK.

• Experience with security best practices, including OAuth2, JWT, and secure coding standards.
• Proficiency with relational databases such as SQL Server, MySQL, PostgreSQL, or Oracle, including query optimization and data modeling.
• Familiarity with Agile methodologies, CI/CD pipelines, and modern DevOps best practices.
• Experience with test automation tools and frameworks (JUnit, Mockito, Selenium, Cypress).
• Strong troubleshooting, debugging, and analytical capabilities.
• Excellent collaborative and communication skills, with experience working in cross-functional environments.
• Hands‑on experience with Incident management processes, including creating, managing, and resolving incidents using ServiceNow or similar ITSM tools.

Additional / Optional Skills (Preferred but Not Mandatory)

• Healthcare domain knowledge, including familiarity with terminology, workflows, regulatory needs (HIPAA, PHI), or experience building healthcare applications.
• Experience with UI/Front‑end development, particularly using React, Angular, or Vue.js.

• Knowledge of JavaScript ES6+, TypeScript, and modern front‑end build tools (Webpack, Vite, npm/yarn).
• Exposure to API Gateways, GraphQL, or gRPC.
• Familiarity with NoSQL databases (MongoDB, Cassandra, DynamoDB).
• Experience working with message‑driven architectures (Kafka, RabbitMQ, AWS SQS/SNS).
• Understanding of distributed systems, performance optimization, and scalability patterns.
• Ability to contribute to architecture discussions and technical design decisions.

SUMMARY:

You’ll join the Xplor Pay Development Team, which provides a full stack payment processing and acquiring platform to integrators, partners, and merchants. Whether small and independent or large franchises, we build services that customers can rely on. You will be involved in the entire software development lifecycle, working with Product Owners, Business Analysts, and others to help deliver and support required functionality across our payment platform, its user interfaces and APIs.

DUTIES AND RESPONSIBILITIES:

• Hands on problem-solving attitude with the ability to generate ideas/solutions and adapt and learn new technologies on the job.
• Write clean, testable, and well-documented code.
• Refactor existing code, write unit tests and review other teammates code.
• Fix problems and defects by collecting information, finding root causes, and implementing solutions.
• Conduct peer reviews for other members of the development team, ensuring that project conventions are adhered to and that requirements are correctly implemented.
• Participate in full-life cycle software development.
• Contribute to performance, diagnostic, and troubleshooting analysis of software.
• Create and maintain documentation for developed APIs.
• Involve and engage with other developers and other teams to motivate and connect with others.
• Mentoring junior team members and guiding them towards raising their own software quality standards.
• Estimate, plan and implement new features in collaboration with product and design.
• Code based on standards and best practices provided by your team lead.
• Keeping up to date with industry trends and technology developments.

Join our DevOps Engineering team as a Senior Database Engineer to design, build, and engineer cloud-native database platforms across a modern, multi-engine data stack. This is an engineering role, not a DBA role, focused on building scalable systems, writing infrastructure-as-code, and embedding databases into software delivery pipelines.

You'll work closely with DevOps and Product Engineering to build high-performing data infrastructure that supports critical applications and analytics.  You will own and evolve a diverse ecosystem spanning AWS RDS, Aurora, DynamoDB, Redshift, Azure SQL, PostgreSQL, Snowflake, and NoSQL engines, integrating AI-driven automation and MLOps-ready data foundations to support critical applications and machine learning workflows.

Key Responsibilities

Multi-Engine Cloud Data Architecture & Platform Engineering

• Design, build, and engineer hybrid data solutions spanning relational (PostgreSQL, Aurora, RDS, Azure SQL), columnar (Redshift, Snowflake), and NoSQL (DynamoDB, DocumentDB, OpenSearch) engines — selecting the right engine per workload.
• Architect cloud-native data lakehouse platforms on AWS using S3, Lake Formation, Glue, and open formats (Apache Iceberg, Delta Lake, Parquet), with Azure Data Lake as a secondary target.
• Implement and manage Medallion Architecture (Bronze / Silver / Gold) patterns to support raw ingestion, curated analytics, and business-ready datasets.
• Build and optimize hybrid data platforms spanning operational databases (PostgreSQL / RDS / Aurora / DynamoDB) and analytical systems (Snowflake / Redshift).
• Develop and maintain semantic layers and analytics models to enable consistent, reusable metrics across BI, analytics, and AI use cases.
• Engineer efficient data models, ETL/ELT pipelines, and query performance tuning for analytical and transactional workloads.
• Engineer replication topologies, partitioning strategies, and data lifecycle automation as code — not manual DBA operations.
• Build automated schema migration pipelines (Flyway/Liquibase) and data versioning workflows integrated into CI/CD replacing manual schema change management.
• Design and implement API-first data access patterns, enabling engineering teams to interact with databases through well-defined, versioned interfaces rather than direct connection strings.

Advanced Data Pipelines, Streaming & Orchestration

• Engineer ELT/ETL pipelines using AWS-native services (Glue, Kinesis, MSK, Step Functions, EventBridge) and modern tooling (dbt, Airflow) for batch, micro-batch, and near-real-time workloads.
• Build streaming data pipelines using AWS Kinesis Data Streams, Kinesis Firehose, and MSK (Managed Kafka) for event-driven, low-latency ingestion across multiple database targets.
• Implement data quality checks, schema enforcement, lineage, and observability across pipelines.
• Optimize performance, cost, and scalability across ingestion, transformation, and consumption layers.
• Implement change data capture (CDC) using AWS DMS, Debezium, or native engine features to synchronize data across SQL, NoSQL, and analytical systems.

NoSQL & Document Store Engineering

• Design and optimize DynamoDB schemas using single-table design patterns, GSIs, LSIs, and DynamoDB Streams for event-driven architectures.
• Architect DocumentDB (MongoDB-compatible) clusters for document workloads requiring flexible schema and hierarchical data models.
• Build and manage OpenSearch / ElasticSearch clusters for full-text search, log analytics, and observability use cases.
• Evaluate and recommend the right NoSQL engine (DynamoDB vs DocumentDB vs OpenSearch vs ElastiCache) based on access patterns, latency, and cost profile.
• Implement TTL policies, DynamoDB Accelerator (DAX), and ElastiCache (Redis/Memcached) for high-throughput caching layers.

AI-Enabled Data Engineering & MLOps Foundations

• Apply AI and ML techniques to data architecture and operations, including intelligent data quality validation, anomaly detection, schema drift detection, and query workload pattern analysis — using AWS SageMaker and Amazon Bedrock.
• Design and build ML-ready data foundations: SageMaker Feature Store, training dataset pipelines, experiment tracking, and inference data pipelines using AWS-native MLOps services.
• Integrate LLM capabilities via Amazon Bedrock for AI-assisted data documentation, query generation, lineage summarization, and automated data cataloging.
• Implement vector database solutions (pgvector on Aurora/RDS, OpenSearch k-NN) to support AI similarity search and retrieval-augmented generation (RAG) use cases.
• Build AI-powered observability using ML-driven anomaly detection on pipeline metrics, query performance trends, and data quality SLAs.

Software Engineering, DevOps & Infrastructure as Code

• Build and manage all data infrastructure as code using Terraform and AWS CDK — covering RDS, Aurora, DynamoDB, Redshift, Glue, MSK, Kinesis, Snowflake, and supporting IAM/networking components.
• Integrate database changes into CI/CD pipelines (GitHub Actions, AWS CodePipeline) with automated schema testing, data contract validation, deployment, and rollback.
• Develop internal platform tooling using Python, SQL, and AWS SDK (boto3) — building self-service capabilities that allow engineers to provision governed database environments on demand.
• Implement database-as-code practices: automated schema migrations, snapshot/restore testing pipelines, and environment clone automation — eliminating manual DBA provisioning tasks.
• Build and publish internal data platform APIs and SDKs that abstract database complexity from application teams.

Security, Governance & Compliance Engineering

• Engineer enterprise-grade data governance across all engines: RBAC, column/row-level security, field-level encryption, dynamic data masking, and comprehensive audit logging, implemented as code, not manual configuration.
• Define and enforce data contracts and ownership using AWS Lake Formation, Glue Data Catalog, and Snowflake governance — versioned and managed in source control.
• Partner with Security and Compliance teams to ensure audit readiness and regulatory alignment (SOC 2, HIPAA, GDPR where applicable).
• Manage AWS IAM policies, KMS encryption, VPC security groups, and private endpoints (PrivateLink, VPC Endpoints) for least-privilege access and network isolation.
• Implement secrets management using AWS Secrets Manager and Parameter Store with automated credential rotation for all database engines.

We are seeking an experienced and skilled  ETL Developer/ Data Engineer with a strong background in Data Warehouse, Data Vault and Snowflake Cloud technologies.

The candidate must possess deep understanding of ETL architecture and best practices, coupled with the ability to design, develop, and maintain robust ETL solutions for our data-driven organization.

As an ETL Developer/ Data Engineer, you will play a critical role in building and optimizing our data integration processes to support business analytics and decision-making.

Skills:

• Mandatory: Snowflake, dbt, Fivetran, sql.
• Good to have : Python for data analytics.

Responsibilities:

•            ETL Architecture and Design: Designing and implementing ETL & CDC solutions, considering scalability, maintainability, and performance. Collaborating with data architects and stakeholders to define ETL specifications and data integration requirements.

•            Data Warehouse and Data Vault Development: Building and managing data warehouses and data vaults to ensure efficient data storage and retrieval. Employing best practices for data modeling, schema design, and data lineage.

•            Snowflake Cloud Expertise: Demonstrating expertise in Snowflake Cloud data warehousing platform. Utilizing Snowflake's features and capabilities to optimize ETL performance and data processing.

•            ETL Development: Developing, testing, and maintaining ETL workflows, data pipelines, and data transformations using ETL tools like DBT, Qlik compose etc.

•            Performance Optimization: Identifying and resolving performance bottlenecks in ETL processes to ensure data processing efficiency and reduce load times.

•            Data Quality and Validation: Implementing data quality checks, validation, and error handling within ETL processes to ensure data accuracy and consistency.

•            Documentation and Best Practices: Creating detailed technical documentation, including data mappings, ETL specifications, and system architecture. Promoting and adhering to ETL best practices and standards.

•            Collaboration and Teamwork: Collaborating with cross-functional teams, including data engineers, data analysts, and business stakeholders, to understand data requirements and deliver high-quality data solutions.

•            Troubleshooting and Support: Investigating and resolving ETL-related issues, providing technical support, and participating in on-call rotations if required.

•            Continuous Learning and Innovation: Staying up-to-date with the latest trends and advancements in ETL technologies, data warehousing, and cloud-based data solutions. Identifying opportunities for process improvement and innovation.

We are seeking a Senior DevOps Engineer / SRE to take end-to-end ownership of infrastructure reliability, scalability, security, and cost efficiency across both IT services projects and product-based platforms. This role goes beyond pipeline management—you will be responsible for production stability, system observability, performance optimization, and cloud cost governance, supporting applications built using Node.js, JavaScript, React.js, React Native, and Python, deployed across monolithic, microservices, and serverless architectures.

Key Responsibilities
● Own production infrastructure reliability, uptime, and performance across all environments

● Architect, deploy, and maintain scalable, secure AWS infrastructure and dedicated servers

● Design and manage containerized workloads using Docker and orchestration platforms (ECS / EKS / Kubernetes)

● Build, optimize, and enforce CI/CD pipelines using GitHub Actions and modern Git workflows

● Implement infrastructure as code (IaC) using Terraform or CloudFormation

● Establish and maintain monitoring, logging, and alerting systems for proactive incident detection

● Define and track SLOs, SLIs, and error budgets aligned with business priorities

● Lead incident response, root cause analysis (RCA), and post-mortems

● Optimize AWS cloud costs through right-sizing, usage analysis, and architectural improvements Support high-traffic and multi-tenant SaaS systems with a focus on isolation and scalability

● Ensure security, compliance, access control, secrets management, and audit readiness

● Collaborate closely with backend, frontend, and mobile teams to improve reliability and deployment workflows

● Maintain clear documentation for infrastructure, operational processes, and runbooks

• Become a substential part of the Data Platform team, which provides engineering services across the Media Measurement department.   
• Design, develop, test and deploy big data applications and pipelines.
• Ensure that your and the teams work follow best practices for ensuring validity, efficiency and maintainability.
• Collaborate in a distributed, cross-functional agile team of Data Scientists and Cloud Engineers to reached shared goals.
• Take ownership of technical implementations and architecture together with your team and in alignment with communities of practices.
• Communicate with data producers & consumers to align on data exchange formats and interfaces.
• Provide suggestions to business in the Media Measurement context on how existing and new data sources can be utilized to enhance our existing product portfolio.
• Recommend different ways to constantly improve data reliability and quality.

The successful candidate will be responsible for delivering competitive Project specific techno-commercial bids and clean handover for execution in collaboration with stakeholders, that primarily include, front end Sales teams, Global Engineering, Order Engineering, Global operations etc.

Key Responsibilities:

Pre-Order phase

• Ensure selection, sizing, and on-time delivery of competitive techno-commercial project proposals against Request for Quotations for Mechanical Sealing Solutions (Seals and Seal Support systems)
• Review, Interpret and Establish project specific requirements in collaboration with Global Stakeholders, from tender documents including but not limited to:
• Instructions to Bidders, Equipment Datasheets, Material Requisition, P&ID (Piping and Instrumentation Drawings), instrument Hook Up, Logical diagrams, key delivery dates, applicable INCOTERMS, and other contractual terms & conditions
• Manage Techno-Commercial clarifications, Exceptions and Deviations
• Co-ordinate with Project Application and Global Engineering teams to obtain sign off for non-standard or special applications as necessary
• Manage techno-commercial scope for Seal Support systems (Auxiliary Systems) internally through Fluid Control teams
• Provide investment case analysis and margin summary to Global Project Sales Managers from time to time
• Create / enhance the workflow processes and procedures where required
• Mentor new engineers and support them in their development
• Check and approve the offers as per delegation of authority level
• Support and work on departmental strategic initiatives and objectives
• Support line managers in preparing monthly and executive reports as needed
• To cover for team supervisor in his/her absence

Post order phase

• Contract review and Order acknowledgement against purchase orders 
• Release clear techno-commercial order handover to Engineering and Global operations
• Ensure efficient support on techno-commercial queries or conflicts arising through Project Delivery office during execution phase, where necessary
• Provide guidance and support to Engineers
• Check the post order documents from Engineers

Key Accountabilities:

• Delivering competitive Project specific techno-commercial bids
• Provide investment case analysis and margin summary to Project Sales Managers
• Clear contract review and Order acknowledgement against purchase orders