Engineering Manager

About the Company

We are a fast-growing D2C FMCG food brand focused on delivering high-quality food products through both owned and third-party e-commerce platforms. The organization operates in a dynamic, customer-first environment and emphasizes innovation, digital expansion, and operational excellence across online marketplaces. With a strong presence across leading e-commerce and quick-commerce platforms, the company is rapidly scaling its digital footprint nationwide.

Roles and Responsibilities

1. Online Catalog Management

• Ensure product catalog hygiene across all e-commerce platforms
• Update product listings, descriptions, pricing, and availability
• Conduct regular audits to identify and resolve listing issues or inconsistencies

2. E-Commerce Platform Operations

• Manage day-to-day operations on platforms such as Amazon, Shopify, BigBasket, Swiggy Instamart, Blinkit, and others
• Coordinate with platform points of contact (POCs) for promotions, campaigns, and operational alignment
• Resolve technical and operational issues in a timely manner

3. Sales and Performance Optimization

• Drive sales growth through data-backed strategies and promotions
• Plan and execute initiatives to improve product visibility and conversion
• Identify and onboard new e-commerce platforms to expand digital reach
• Analyse sales trends and optimize listings for performance

4. Customer Coordination

• Handle customer queries, complaints, and feedback across platforms
• Work closely with customer support teams to enhance the buying experience
• Implement strategies to improve customer satisfaction and online ratings

5. Logistics and Order Fulfilment

• Coordinate with production, warehousing, and logistics teams
• Track and resolve issues related to delays, returns, and cancellations
• Monitor inventory levels to avoid stock-outs or overstocking

6. Online Reputation Management

• Monitor brand reviews and ratings across e-commerce platforms
• Respond to customer feedback professionally and promptly
• Collaborate with marketing teams to maintain a positive brand image

7. Data Analysis and Reporting

• Analyse sales and platform performance using Excel and related tools
• Prepare weekly and monthly performance reports
• Share actionable insights to optimize campaigns and product placement

8. Cross-Functional Collaboration

• Work closely with marketing, production, warehouse, and logistics teams
• Coordinate with digital media teams on platform-specific promotions
• Stay updated on e-commerce trends and best practices

Desired Candidate Profile

Experience:

• Minimum 1 years of experience in e-commerce operations
• FMCG or D2C background preferred

Platform Expertise:

• Hands-on experience with Amazon, Shopify, Swiggy Instamart, Flipkart, and similar platforms

Education:

• Bachelor’s degree (BBA, BMS, or equivalent preferred)

The Localization Quality Assurance (QA) Architect is a strategic technical leader responsible for designing, implementing, and evolving robust QA architectures that ensure linguistic quality across the global content lifecycle. Serving as the bridge between business goals, compliance requirements, and technology, the QA Architect translates complex audience insights and regulatory demands into scalable, automated, and data-driven QA systems. This role drives continuous improvement through innovation and stakeholder collaboration, empowering teams to deliver culturally relevant, compliant, and high-quality localized content efficiently.

Business Leadership

Translate audience insights, buyer personas, and market intelligence into precise localization QA requirements that reflect strategic content and product needs.

Collaborate with cross-functional teams including product, engineering, marketing, and content to embed quality gates aligned with overarching product and content roadmaps.

Lead workshops, design sessions, and stakeholder meetings to align QA technical architecture decisions with evolving business goals and customer expectations.

Champion the adoption and integration of emerging QA tools, cutting-edge automation, and AI approaches that improve scalability, operational efficiency, and quality outcomes.

Promote a culture of continuous improvement by leveraging data-driven insights, process optimization, and ongoing team capability development.

Compliance Leadership

Architect and embed compliance frameworks into localization QA systems in full adherence to global privacy, accessibility, and intellectual property standards such as GDPR, PDPA, WCAG, ADA, and IP laws.

Integrate regulatory and contractual requirements seamlessly across all layers of the localization QA pipeline to ensure end-to-end compliance.

Design and implement features such as audit trails, change management controls, and traceability mechanisms to support ongoing regulatory compliance and contract obligations.

Collaborate closely with legal, compliance, and risk teams to tailor solutions addressing jurisdiction-specific complexities including data localization mandates and cross-border data flow restrictions.

Ensure system architectures and workflows comply continuously with export control laws and international content distribution regulations through automated governance rules.

Technical Leadership

Design modular, scalable QA architecture frameworks that support comprehensive lifecycle linguistic quality evaluation, including translation memory (TM) systems, terminology databases, and digital asset management.

Develop and maintain AI-driven linguistic error detection models that combine complex error typologies with configurable, flexible review workflows.

Lead the design and implementation of automated verification modules that assess cultural and contextual adaptation accuracy, ensuring global and localized market alignment.

Build real-time, interactive data analytics dashboards that provide risk assessment, quality forecasting, and KPI visualization capabilities to inform decision-making.

Oversee integration of QA automation platforms and tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines to facilitate seamless delivery workflows.

Document technical architecture decisions comprehensively, and develop detailed operational guidelines, best practices, and training materials for engineering and QA teams.

Mentor and support QA engineers, technical leads, and other stakeholders in deploying, scaling, and advancing technology-enabled QA capabilities.ct compliance with data protection regulations including GDPR, PDPA, content accessibility standards such as WCAG and ADA, and intellectual property laws.

 Maintain thorough documentation and detailed tracking of QA tests, defects, and resolutions to support audit readiness and accountability.

 Escalate any identified compliance, data privacy, or contractual issues during QA processes to senior QA or compliance team members for timely resolution.

 Qualifications -

Bachelor’s or Master’s degree in Computer Science, Linguistics, Localization Engineering, or a related technical field.

 12+ years of experience in localization QA architecture, software engineering, or related roles with a focus on multilingual content quality.

 Strong expertise in designing scalable architectures integrating TM systems, terminology management, QA automation, and AI-based error detection.

 Proven experience with compliance frameworks relating to GDPR, PDPA, WCAG, ADA, intellectual property, and international content laws.

 Hands-on knowledge of automation toolchains, CI/CD pipelines, and data analytics platforms.

 Ability to lead cross-functional technical and business alignment sessions, translate complex requirements into actionable technical designs.

 Excellent documentation, training, and mentoring skills for enabling technical teams and stakeholders.

 Familiarity with emerging technologies in linguistic QA, AI/ML applications, and content lifecycle management within globalized environments.

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange

We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.

The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.

Responsibilities:

Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.

Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.

Improve and fix bugs in installation and automation routines.

Monitor CPU usage, security findings, and AWS alerts.

Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.

Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).

Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.

Integrate data from AWS CloudWatch.

Document all relevant information and train involved personnel in the used technologies.

Requirements:

Experience with Elastic Stack (ELK) components and related technologies.

Proficiency in automation tools like Ansible and CloudFormation.

Strong knowledge of AWS Cloud services.

Experience in creating and managing dashboards and alerts.

Familiarity with IAM roles and rights management.

Ability to document processes and train team members.

Excellent problem-solving skills and attention to detail.

Skills & Requirements

Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.

Overall Experience: 6+ years

Relevant: 4+ years

Location: Initial 10 days Hyderabad after that Remote

*ONLY IMMEDIATE JOINERS*

Role Description

This is a full-time remote role for a Data Engineer. The Data Engineer will be responsible for daily tasks such as data engineering, data modeling, extract transform load (ETL), data warehousing, and data analytics. Collaboration and communication with cross-functional teams will be required to ensure successful project outcomes.

Qualifications

• SQL, Python/Scala, Spark, Hadoop, Hive, HDFS
• Data Engineering, Data Modeling, and Extract Transform Load (ETL) skills
• Data Warehousing and Data Analytics skills
• Experience in working with large datasets and data pipelines
• Proficiency in programming languages such as Python or SQL
• Knowledge of data integration and data processing tools
• Familiarity with cloud platforms and big data technologies
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Ability to work independently and remotely
• Bachelor's degree in Computer Science, Data Science, or a related field

• Your responsibilities:
• Build, improve and extend NLP capabilities
• Research and evaluate different approaches to NLP problems
• Must be able to write code that is well designed, produce deliverable results
• Write code that scales and can be deployed to production

• Fundamentals of statistical methods is a must
• Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM
• A solid foundation in Python, data structures, algorithms, and general software development skills.
• Ability to apply machine learning to problems that deal with language
• Engineering ability to build robustly scalable pipelines
• Ability to work in a multi-disciplinary team with a strong product focus

• Bachelors degree in Software Engineering, Computer Science, Information Technology or related
• Previous work experience as a Manual Testing in OTT Platform - MUST
• Complete understanding of STB, Set up box (MUST)
• Understanding of testing protocols
• Good analytical and troubleshooting skills
• Attention to detail
• Strong communication skills