BOLD is seeking a senior professional to implement and run Testing and Quality Assurance specifically designed for AI-driven products and Data Science workflows. In this role, you will bridge the gap between traditional software testing and modern machine learning evaluation. You have a great team management and organizational skills. You’ll have a broad mastery of capabilities, techniques, technologies and tools in the Testing and QA domains. You’ll be handling QA teams of various sizes and expertise.

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them up to to date with technology.

WHAT YOU’LL DO 

• Develop and own the QA strategy for AI-driven features, focusing on model accuracy, data drift, and performance metrics (Precision, Recall, F1-score).
• Implement state-of-the-art AI tools (e.g., GitHub Copilot, or custom LLM agents) to automate test case generation, code analysis, and synthetic data creation.
• Oversee the testing of Generative AI outputs, implementing "LLM-as-a-judge" frameworks to evaluate hallucination rates, toxicity, and prompt adherence.
• Develop and own BOLD’s quality framework from product development through to production
• Should be able to drive the initiatives (both Business and QA) in his area along with needed smooth coordination across the board to ensure a timely achievement of goal.
• Take part in Requirement Analysis, Sprint planning, Bug triage meetings.
• Liaise with product, development, and infrastructure teams to collaborate on delivery of high quality, high performance, and high availability applications
• Develop quality scripts with needed coverage to ensure defect free releases.
• Manage and mentor team members to maximize output and efficiency and promote a team culture of quality and fun
• Motivate, Encourage, Guide Teams maintaining equilibrium and satisfaction level.
• Give technical/logical solutions to problems faced by the teams and remove hurdles blocking releases.
• Evaluate and suggest new tools and technologies

WHAT YOU’LL NEED

• Solid understanding of the Machine Learning lifecycle (EDA, Training, Evaluation, Deployment).
• Experience using LLMs (GPT, Claude, Llama) and AI-coding assistants to accelerate the testing lifecycle.
• Experience in a high volume, high throughput web/ecommerce environment.
• Hands-on experience with UI/API automation (Selenium, Playwright, or Cypress) integrated with AI-driven healing capabilities.
• Experience with web service technology like XML, REST, SOAP
• Knowledge on any of the query language like SQL, JQL etc.
• Experience in testing complex web and mobile apps.
• Strong application architecture and technical knowledge
• Strong knowledge of web concepts, including web performance infrastructure.
• Able to play the role of a scrum master, with strong coordination skills
• Knowhow of basic UX standards, SEO/ SEM concepts and key tracking matrices
• Strong communication skills 

EXPERIENCE- 

• Module Lead, QA (AI/ML & Automation)- 5 years+

BOLD is seeking a Technical Lead Specialist who can understand functional, technical & architectural views and has the ability to translate them into a low-level technical design for the developers. The successful candidate will be expected to work with the Engineering Manager and to interact with the technical architect of the program to achieve these goals. In addition, your role will be to mentor developers and contribute towards best practices and standards. 

Our SDETs work with Product Managers and Dev Teams to understand features and technical implementation and ensure our sites, products, and platforms perform to industry-beating quality. 

ABOUT THIS TEAM

BOLD Platform services team design, creates, manage and maintains the highly scalable and distributed services for the wider use of web and mobile product applications/portals/websites. The current list of services is based on Microservices architecture whose domain ranges from visitor tracking, User profiles, authentication, content and payments.

Platform team uses state of the art modern technologies like .Net framework, Python, Java, SQL Server, My SQL, Graph DB, SOLR, and a lot of other tools & technologies serving millions of users with hundreds of million transactions everyday through a scalable and fault tolerant architecture.

WHAT YOU’LL DO

• Excellent Object-Oriented coding practices, Refactoring, Clean Code, merging, etc. 
• Follow and recommend design principles and best practices for QA automation. 
• Able to develop and maintain test automation framework as per project requirements. 
• Understand automation test plans, product architecture, and domain in detail. 
• Solution-providing approach for technical queries and help/mentor test automation team. 
• Should be able to develop components that are extensible to test tools. 
• Hands-on experience in PoC solutions for automation and can demonstrate. 
• Excellent communication skills and ability to work independently with multiple tasks. 
• Test cutting-edge applications and products at the user level and code level 
• Be able to understand the software internals, debug issues, and write automated tests with scripting and automation tools 
• Assist in implementing and maintaining a Continuous Integration Solution 
• Contribute and/or own the development of high-quality test automation 
• Create and enhance backend automation tests and test tools 
• Ability to extend API automation framework to the next level 
• Work efficiently in a multi-project agile environment 
• Have to involve in performance, security, and scalability testing efforts 
• Write specialized testing tools for use in testing our software platform 
• Participate in test design and code reviews 
• Excellent debugging skills, measures, and analyses code for quality. 

 WHAT YOU’LL NEED

• At least 2 years of experience with search platforms such as Solr and modern search architectures. 
• Working knowledge of vector databases and semantic search solutions (e.g., Azure AI Search, Pinecone, or equivalent tools). 
• Strong understanding of Large Language Models (LLMs) and their application in search, relevance, and matching use cases. 
• Familiarity with ranking and re-ranking concepts and algorithms, and how they impact search quality and relevance 
• Have 5-7 years of experience in API Test Automation using Karate, Rest Assured, Cucumber, Java, BDD, or any other tool. 
• Strong knowledge of scripting languages like Core Java, C#, Python, etc.  
• Experience with source code controls like SVN, GIT, or CVS. 
• Exposure to Test and Defect Management Tools like JIRA, Trail, Zephyr, etc. 
• Experience with one or more database technology (SQL, NoSQL, Mongo, Solr) 

EXPERIENCE:  

• Lead SDET- 7 years+

#LI-SV1

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 

WHAT YOU’LL NEED 

• Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Should have done one or more projects involving fine-tuning with LLMs 
• Experience in feature selection, building and optimising classifiers. 
• Experience working with backend technologies such as Flask/ Gunicorn etc. 
• Experience on working with open source library such Spacy,NLTK,Gensim etc  
• Experience on working with deep-learning library such as Tensor flow, Pytorch etc  
• Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. 
• Be a keen learner and enthusiastic about developing software.    

EXPERIENCE- 

• Software Engineer- 2.5 years+
• Senior Software Engineer-4.5 years+

#LI-SV1

Senior Machine Learning Engineer

Location: (Bangalore or Noida) 

The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data

As a Machine Learning Engineer, you’ll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You’ll combine machine learning, prompt engineering, and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time.

You’ll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.

Responsibilities

• Design, implement, and optimize agentic AI components, including context engineering, memory management, and prompts.
• Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.
• Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.
• Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.
• Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.

Required Qualifications

• B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.
• 4-6 years of hands-on industry experience with demonstrable ownership and delivery.
• Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.
• Proficiency in Python and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.
• Working knowledge of LLM core concepts, prompt design, and agentic design patterns.
• Strong communication skills and a passion for shaping emerging AI paradigms.

Desired Qualifications

• Prior experience building and deploying AI agents or LLM applications in production.
• Familiarity with modern agentic AI frameworks (e.g., LangGraph, LangChain, CrewAI).
• Experience with ML infrastructure and tooling (PyTorch, MLflow, Airflow, Docker, AWS).
• Exposure to LLM Ops - infrastructure optimization, observability, latency, and cost monitoring.

About Us

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

1. Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
2. Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
4. Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED 

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

Title: Staff Site Reliability Engineer, Product Area Focus
Location: Noida/ Bangalore (Hybrid)

Summary of role

Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products.  Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers  Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering team.

Responsibilities

• Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities.
• Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap.
• Participate in defining, evolving, and managing SLOs for several teams within your product area.
• Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components.
• Complete projects to optimize and tune on-call experience for your engineering teams.
• Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
• Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
• Work closely with the developer infrastructure teams to expedite development infrastructure adoption of tools to advance your reliability roadmap by identifying needs for your supported engineering teams, and contributing back features and bug fixes when needed. 
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement
• Participate in and continually improve our global IRC (incident response coordination) for all products.
• Drive root cause identification and issue resolution with the teams.
• Work inside of a fast-paced iterative environment.
• Hire & Mentor new team members.

Required Qualifications and Skills

• Cloud native application development experience leveraging best practices and design patterns
• Strong debugging and trouble-shooting skills across the entire technology stack
• Deep understanding of AWS Networking, Compute, Storage, and managed services.
• Competency with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
• Experience with full life cycle support of services, from creation to production support
• Versed in Infrastructure as Code practices using technologies like Terraform or Cloud Formation
• Ability to author production ready code in at least one the following: Java, Scala or Go.
• Experience with Linux systems and at home on the command line
• Understand and apply modern approaches to cloud-native software security
• Experienced with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
• Flexible and willing to step into new roles and responsibilities
• Willingness to learn and use Sumo Logic products for solving reliability and security issues
• Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
• 8+ years of professional experience in applied software security role

Desirable Skills

• Experience using Sumo Logic products or other observability products for reliability and security
• Experienced with planet scale product development
• Running and operating SaaS products on AWS Cloud with expert level proficiency
• Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
• Expert level experience in one or more of: Java, Go, Scala, or Python
• Expert level experience in one or more of: Terraform, Jenkins, Kubernetes
• Extensive experience running and tuning JVM workloads at scale

About Us

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

Data Engineer with experience working with GCP wanted to join us on a permanent basis. You can either join us in our growing Mumbai team or join us remotely from across India. 

Step into the Koppling workstream as a Data Engineer and be a key player in building a sophisticated media data warehouse. Your role will involve developing and deploying robust ETL/ELT data pipelines to automate the integration of 3rd party data sources at scale. This is an excellent opportunity to apply solid technical problem-solving skills, advance your data engineering capabilities, and gain a foundational understanding of the marketing data domain. You'll contribute to creating a centralized, reliable data source that informs critical business decisions, working within a collaborative team environment.

What you’ll be doing

• Developing, and deploying robust ETL/ELT data pipelines using Python and SQL to integrate various 3rd party data sources.
• Automating the integration of 3rd party data sources at scale, ensuring data accuracy and timeliness for our media data warehouse.
• Utilizing Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, and Scheduler for efficient data processing and orchestration.
• Performing data modeling and transformations using dbt and SQL to structure and refine data within the media data warehouse.
• Managing and version controlling pipeline code and configurations using Git, ensuring collaborative development and deployment.
• Troubleshooting and optimizing existing data pipelines to enhance reliability, performance, and scalability.
• Applying infrastructure-as-code principles to manage data resources, potentially using tools like Terraform for environment provisioning.
• Developing or integrating APIs for complex data ingestion and exploring the use of streaming data technologies like Kafka or Pub/Sub for real-time data needs.
• Implementing and maintaining CI/CD pipelines to automate the testing, deployment, and monitoring of data solutions.

What we want from you

• Professional experience in data engineering or a similar role.
• Hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Cloud Run, and Scheduler.
• Proficiency in SQL for data manipulation and analysis.
• Strong programming skills in Python.
• Experience with dbt.
• Familiarity with infrastructure-as-code principles.
• Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills, attention to detail, and a proactive attitude.
• Ability to work independently and as part of a team in a fast-paced environment.

Desirable Attributes

• Familiarity with Terraform.
• Experience with API Development.
• Knowledge of streaming data processing concepts (e.g., Kafka, Pub/Sub).
• Familiarity with CI/CD pipelines.
• Relevant GCP certifications are a plus.

Head of Quality Engineering to lead and scale our QA function in India (Relocation to Noida required) 

 This is a pivotal leadership role within our Engineering and Technology team, requiring a unique blend of strategic foresight, commercial awareness, and hands-on technical expertise. 

The ideal candidate is not just a manager but a leader and coach—someone who can recruit and build a high-performing team from the ground up while maintaining involvement in projects and automation. You will be the driving force behind our continued AI Transformation in QA in the region and, ensure our technical capabilities are always one step ahead of business demand. 

This role offers relocation to Noida, its important that you are happy to relocate to Noida and our team will support your relocation 

What you’ll be doing: 

Leadership, Team Development & Future-Readiness 

• Build & Scale: Recruit top-tier QA talent to build the India team. Manage high-volume, high-pressure hiring cycles and  a establish QA Automation hub. 

• Future-Proofing the Workforce: Collaborate closely with Sales and Business Development teams to understand the sales pipeline and emerging market trends. Translate these insights into training roadmaps to ensure the team is "project-ready" for next-generation work before it arrives. 

• Talent Development: Follow and contribury to global engineering career progression frameworks. Foster a culture of continuous learning by coordinating training programs, onboarding graduates, and personally coaching team members. 

• Global Collaboration: Act as the primary liaison for the India region within our global community of QA leaders, ensuring alignment with global standards while addressing local operational needs. 

• Employee Wellbeing: Balance the drive for high performance with a deep commitment to team wellbeing, proactively managing signs of burnout and ensuring a healthy, sustainable work-life balance for your staff. 

 
AI Transformation & Technical Excellence 

• AI Leadership: Champion the adoption of AI-assisted testing tools and generative AI within the QA workflow. Lead transformation activities to automate test generation, self-healing scripts, and predictive quality analytics. 

• Automation Strategy: Lead the design and development of robust, scalable test automation frameworks using modern tools, with a specific focus on Playwright. 

• Hands-on Engineering: Review complex test scenarios and contribute to automation code or framework architecture. You will be expected to guide the team on technical implementation in Java, Python, or JavaScript. 

• Shift-Left & CI/CD: Support project teams in integrating quality gates within deployment pipelines and drive the adoption of "Shift-Left" testing principles. 

 
Strategic Quality Management 

• Metrics & KPIs: Define and track quality metrics (DRE, Test Coverage, Cycle Time) to provide transparent reporting to executive stakeholders. 

• SDLC Integration: Collaborate closely with Engineering, Product, and DevOps leads to embed quality as a mindset throughout the development lifecycle. 

• Infrastructure & Data: Oversee test environment management, data management strategies, and ensure the infrastructure supports rigorous performance and security testing. 

• Client Delivery Assurance: Act as the senior escalation point for critical project quality issues. Build relationships with global account leads to ensure Indian based delivery teams are meeting client expectations and strictly adhering to any SLAs 

 
Process & Operations 

• Agile Efficiency: Optimize testing processes to support rapid Agile/Scrum development cycles, reducing time-to-market whilst improving quality. 

• Prioritization: Expertly handle multiple conflicting priorities and context switching between strategic planning, crisis management, and recruitment activities. 

What we want from you: 

• Extensive QA Leadership & Team Scaling: Proven extensive experience in Quality Assurance, leading and managing teams, with a track record of building and scaling QA teams from small to medium sizes (including graduate intake and senior hires). 

• Comprehensive Technical QA Expertise: Strong hands-on proficiency in test automation frameworks (Java, Python, JavaScript), deep understanding of Functional, API, Performance (JMeter, k6), and Security testing fundamentals. 

• Modern QA Tooling & CI/CD Mastery: Experience with Playwright is highly desirable, along with proficiency in modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI). 

• E-commerce/Retail Domain Expertise: Understanding of complex buying journeys within E-commerce/Retail domains, with experience using platforms like Shopify, Adobe Commerce, SFCC, or CommerceTools. 

• Strategic Business & Commercial Acumen: Ability to analyse business trends, sales pipelines, and commercial impact to forecast skill requirements, drive proactive team upskilling, and strategically prepare teams for future sales initiatives. 

• AI Transformation & Empowerment: Proven experience with AI transformation activities and a passion for empowering teams to effectively utilize AI tools in daily workflows. 

• Adaptable, Resilient & Results-Oriented: Comfortable with frequent context switching, adept at managing ambiguity in a fast-paced environment, and capable of handling demanding hiring targets and delivery deadlines. 

• Exceptional Communication & Stakeholder Management: Excellent verbal and written communication skills, capable of clearly explaining complex technical quality risks to non-technical stakeholders. 

• High Emotional Intelligence & Relationship Building: Possesses high emotional intelligence, fostering deep trust and strong relationships across cultural boundaries as an approachable, empathetic listener. 
• Vibrant Team & Tech Community Builder: Actively fosters a vibrant internal engineering culture (organizing Hackathons, Guilds, Lunch & Learns) and a strong sense of community within a distributed workforce through team bonding and celebrating successes. 

Desirable Attributes: 

• Cloud Native: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 

• Emerging Tech: Demonstrated knowledge of AI/ML testing approaches and implementation of LLMs in testing. 

• Certifications: ISTQB Advanced Level or equivalent quality certifications. 

• Remote Management: Experience managing distributed or remote teams across different time zones. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

Head of Quailify Engineering needed to lead and scale our QA function in India. This is a pivotal leadership role within our Engineering and Technology team, requiring a unique blend of strategic foresight, commercial awareness, and hands-on technical expertise. 

The ideal candidate is not just a manager but a leader and coach—someone who can recruit and build a high-performing team from the ground up while maintaining involvement in projects and automation. You will be the driving force behind our continued AI Transformation in QA in the region and, ensure our technical capabilities are always one step ahead of business demand. 

What you’ll be doing: 

Leadership, Team Development & Future-Readiness 

• Build & Scale: Recruit top-tier QA talent to build the India team. Manage high-volume, high-pressure hiring cycles and  a establish QA Automation hub. 

• Future-Proofing the Workforce: Collaborate closely with Sales and Business Development teams to understand the sales pipeline and emerging market trends. Translate these insights into training roadmaps to ensure the team is "project-ready" for next-generation work before it arrives. 

• Talent Development: Follow and contribury to global engineering career progression frameworks. Foster a culture of continuous learning by coordinating training programs, onboarding graduates, and personally coaching team members. 

• Global Collaboration: Act as the primary liaison for the India region within our global community of QA leaders, ensuring alignment with global standards while addressing local operational needs. 

• Employee Wellbeing: Balance the drive for high performance with a deep commitment to team wellbeing, proactively managing signs of burnout and ensuring a healthy, sustainable work-life balance for your staff. 

 
AI Transformation & Technical Excellence 

• AI Leadership: Champion the adoption of AI-assisted testing tools and generative AI within the QA workflow. Lead transformation activities to automate test generation, self-healing scripts, and predictive quality analytics. 

• Automation Strategy: Lead the design and development of robust, scalable test automation frameworks using modern tools, with a specific focus on Playwright. 

• Hands-on Engineering: Review complex test scenarios and contribute to automation code or framework architecture. You will be expected to guide the team on technical implementation in Java, Python, or JavaScript. 

• Shift-Left & CI/CD: Support project teams in integrating quality gates within deployment pipelines and drive the adoption of "Shift-Left" testing principles. 

 
Strategic Quality Management 

• Metrics & KPIs: Define and track quality metrics (DRE, Test Coverage, Cycle Time) to provide transparent reporting to executive stakeholders. 

• SDLC Integration: Collaborate closely with Engineering, Product, and DevOps leads to embed quality as a mindset throughout the development lifecycle. 

• Infrastructure & Data: Oversee test environment management, data management strategies, and ensure the infrastructure supports rigorous performance and security testing. 

• Client Delivery Assurance: Act as the senior escalation point for critical project quality issues. Build relationships with global account leads to ensure Indian based delivery teams are meeting client expectations and strictly adhering to any SLAs 

 
Process & Operations 

• Agile Efficiency: Optimize testing processes to support rapid Agile/Scrum development cycles, reducing time-to-market whilst improving quality. 

• Prioritization: Expertly handle multiple conflicting priorities and context switching between strategic planning, crisis management, and recruitment activities. 

What we want from you: 

• Extensive QA Leadership & Team Scaling: Proven extensive experience in Quality Assurance, leading and managing teams, with a track record of building and scaling QA teams from small to medium sizes (including graduate intake and senior hires). 

• Comprehensive Technical QA Expertise: Strong hands-on proficiency in test automation frameworks (Java, Python, JavaScript), deep understanding of Functional, API, Performance (JMeter, k6), and Security testing fundamentals. 

• Modern QA Tooling & CI/CD Mastery: Experience with Playwright is highly desirable, along with proficiency in modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI). 

• E-commerce/Retail Domain Expertise: Understanding of complex buying journeys within E-commerce/Retail domains, with experience using platforms like Shopify, Adobe Commerce, SFCC, or CommerceTools. 

• Strategic Business & Commercial Acumen: Ability to analyse business trends, sales pipelines, and commercial impact to forecast skill requirements, drive proactive team upskilling, and strategically prepare teams for future sales initiatives. 

• AI Transformation & Empowerment: Proven experience with AI transformation activities and a passion for empowering teams to effectively utilize AI tools in daily workflows. 

• Adaptable, Resilient & Results-Oriented: Comfortable with frequent context switching, adept at managing ambiguity in a fast-paced environment, and capable of handling demanding hiring targets and delivery deadlines. 

• Exceptional Communication & Stakeholder Management: Excellent verbal and written communication skills, capable of clearly explaining complex technical quality risks to non-technical stakeholders. 

• High Emotional Intelligence & Relationship Building: Possesses high emotional intelligence, fostering deep trust and strong relationships across cultural boundaries as an approachable, empathetic listener. 
• Vibrant Team & Tech Community Builder: Actively fosters a vibrant internal engineering culture (organizing Hackathons, Guilds, Lunch & Learns) and a strong sense of community within a distributed workforce through team bonding and celebrating successes. 

Desirable Attributes: 

• Cloud Native: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 

• Emerging Tech: Demonstrated knowledge of AI/ML testing approaches and implementation of LLMs in testing. 

• Certifications: ISTQB Advanced Level or equivalent quality certifications. 

• Remote Management: Experience managing distributed or remote teams across different time zones. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

1. Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
2. Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
4. Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED 

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data.

As an Solutions Engineer, you will actively contribute to, architect for, and lead the company in the design and development of new infrastructure automation projects. You will be instrumental in helping us solve, by architecture and implementation, complex hybrid infrastructure problems among corporate’s robust inventory of networking systems, applications, and cloud infrastructure. You will work closely with a team of highly skilled individuals to deliver on high impact engagements at Sumo Logic, reporting directly to the Global Head of Infrastructure and Data and engaging on projects under the guidance of the Lead Solution Architect..

You are a strong solutions engineer who is passionate about scalable, resilient, secure, and cost-efficient infrastructure solutions. You care about producing clean, elegant, maintainable, robust, well-tested code; you do this as a member of a team, helping the group come up with a better solution than you would as an individual. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 uptime systems and solutions.

Responsibilities:

• Designing and implementing complex and well-architected enterprise infrastructure and data solutions
• Work to improve existing systems, solutions, and process through architectural reviews and design enhancement initiatives
• Experience in devops methodologies and practices as applied to infrastructure, cloud, identity, integration and network solutions
• Improve systems to provide strict compliance adherence, security guardrails, and cost-optimization
• Contribute to the re-architecting of systems, solutions, and processes for more streamlined, scalable, and resilient implementations
• Contribute to well-architected, end-to-end provisioning solutions to a growing enterprise organization across multiple environments and types of infrastructure
• Build strong partnerships and engage with other teams at Sumo Logic to create solutions that enable and benefit all parties and increased derived value

Requirements:

• 3+ years of industry experience with a proven track record of ownership and delivery
• Experience developing scalable, secure, and resilient infrastructure architectures and implementations
• Experience in observability and cost-optimization in application, server, and cloud (AWS preferred) settings
• Experience working with on-premise (Fortinet) network devices on a system administration and configuration level
• Experience with DNS (CloudFlare and Route53 preferred) as well as VPN management (FortiClient, ZScaler, and Netskope preferred)
• Experience with Identity Providers (Okta preferred)
• Experience with Certificate Management (Digicert and AWS ACM preferred) and authentication 
• Hands-on infrastructure as code experience (Terraform preferred) as well as CI/CD pipelines (Scalr and GitHub Actions preferred)
• Experience with writing automations and system integrations (Python preferred)
• Strong experience with AWS
• Excellent verbal and written communication skills
• Experience implementing robust and well-architected designs for enterprise scale systems
• Experience and comfort with an on-call schedule for enterprise systems during daylight hours regional time

Desirable:

• Experience in the following specific technologies is a plus:
• ADP
• Azure
• GCP
• Experience with Scalr
• Experience with AI tooling such as Boomi, Databricks (AI portions), AWS Bedrock, Gemini, and Claude
• Experience with Databricks as a whole
• CCNA, CCNP, or equivalent network certifications
• You should have a passion for continuous learning and deep technological curiosity
• Agile development experience and a familiarity with Jira, sprints, and pointing

About Us:

Sumo Logic, Inc., empowers the people who power modern, digital business.  Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure, and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

Title: Senior Site Reliability Engineer - I, Product Area Focus
Location: Noida (Hybrid)

Summary of role

Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products.  Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers  Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams.

Responsibilities

• Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities.
• Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap.
• Participate in defining, evolving, and managing SLOs for several teams within your product area.
• Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components.
• Complete projects to optimize and tune on-call experience for your engineering teams.
• Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
• Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
• Work closely with the developer infrastructure teams to expedite development infrastructure adoption of tools to advance your reliability roadmap by identifying needs for your supported engineering teams, and contributing back features and bug fixes when needed. 
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement
• Drive root cause identification and issue resolution with the teams.
• Work inside of a fast-paced iterative environment.

Required Qualifications and Skills

• Cloud native application development experience leveraging best practices and design patterns
• Strong debugging and trouble-shooting skills across the entire technology stack
• Deep understanding of AWS Networking, Compute, Storage, and managed services.
• Competency with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
• Experience with full life cycle support of services, from creation to production support
• Versed in Infrastructure as Code practices using technologies like Terraform or Cloud Formation
• Ability to author production ready code in at least one the following: Java, Scala or Go.
• Experience with Linux systems and at home on the command line
• Understand and apply modern approaches to cloud-native software security
• Experienced with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
• Flexible and willing to step into new roles and responsibilities
• Willingness to learn and use Sumo Logic products for solving reliability and security issues
• Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
• 4-6 years of industry experience.

Desirable Skills

• Experience using Sumo Logic products or other observability products for reliability and security
• Experienced with planet scale product development
• Running and operating SaaS products on AWS Cloud with expert level proficiency
• Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
• Expert level experience in one or more of: Java, Go, Scala, or Python
• Expert level experience in one or more of: Terraform, Jenkins, Kubernetes
• Extensive experience running and tuning JVM workloads at scale

About Us

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

• Strong experience creating and deploying cloud infrastructure on Azure, AWS, and GCP
• Understanding of Python and Docker for developing web APIs
• Understanding of deploying solutions to Kubernetes.
• Familiarity with serverless technologies across functions, queues, file storage, API management, and key‑value stores
• Experience with integration patterns and working with various APIs
• Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as monorepos
• Proficiency in Infrastructure‑as‑Code languages such as Terraform and CloudFormation
• Understanding of design patterns for building scalable and efficient systems
• A quality‑driven, test‑first mindset
• Excellent written and verbal communication skills
• Familiarity with Diagrams‑as‑Code for documenting infrastructure architecture is a plus
• Understanding of modern authentication protocols such as OAuth2 and OIDC
• Consideration of cross‑cutting concerns like observability and security in infrastructure design
• Contributions to open‑source projects are a plus

We’re ideally looking for someone who is comfortable across the entire stack and can take ownership of feature delivery from design to deployment. The ideal candidate should have:

• 5+ years of experience with Python and FastAPI (async programming)
• Experience with Redis caching patterns and cache invalidation strategies
• Experience with event-driven architectures (Pub/Sub, SNS/SQS, or similar message brokers)
• Familiarity with SQLAlchemy ORM and relational database patterns
• Experience writing comprehensive test suites (pytest, integration testing)
• Comfortable with REST API design and microservices communication patterns
• Experience with AI-assisted development tools (Cursor, Copilot, Claude Code)
• Experience with Git and CI/CD pipelines

Nice to Have

• Experience with Strapi CMS or similar headless CMS platforms
• Experience with both GCP and AWS cloud services
• Familiarity with i18n patterns (locale handling, translation key management)
• Experience in Java and typescript

BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required. 

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross-functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Estimates efforts, identify risks, devises and meets project schedules. 
• Runs review meetings effectively and drive the closure of all open issues on time. 
• Evolve prompt engineering applications and benchmark different Large Language models to solve business problems.                  
• Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. 
• Implement and experiment with agentic workflows to improve the job seeker experience. 
• Rises above detail to see broader issues and implications for whole product/team.  

WHAT YOU’LL NEED

• Should be able to handle a team of 2-5 members, if required. 
• Knowledge and experience using statistical and machine learning algorithms, including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Experience in using large language models. 
• Experience with distributed, semantic and vector based search and match systems.  
• Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents. 
• Experience in feature selection, building and optimizing classifiers. 
• Experience with software stack components, including common programming languages, back-end technologies, database modelling, continuous integration, services-oriented architecture, software testability, etc. 
• Langchain and/or Llamaindex. 
• Be a keen learner and enthusiastic about developing software. 
   

EXPERIENCE- 

• Project Lead, Data Science- 8 years+

#LI-SV1

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Estimates efforts, identify risks, devises and meets project schedules. 
• Runs review meetings effectively and drive the closure of all open issues on time 
• Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. 
• Rises above detail to see broader issues and implications for whole product/team. 

WHAT YOU’LL NEED

• Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design. 
• Experience with Solr/OpenSearch/Elasticsearch .
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Experience with embedding & vector search  
• Experience in using large language models. 
• Experience in feature selection, building and optimising classifiers. 
• Experience working with backend technologies such as Flask/ Gunicorn etc. 
• Experience on working with open source library such Spacy,NLTK,Gensim etc  
• Experience on working with deep-learning library such as Tensor flow, Pytorch etc  
• Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. 
• Be a keen learner and enthusiastic about developing software.  

EXPERIENCE- 

• Module Lead, Data Science- 5.5 years

#LI-SV1

BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs. 
• Responsible for converting business requirements into robust data science algorithms. 
• Responsible for providing technical leadership to a team of data science engineers. 
• Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs.  
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Responsible for creating model validation framework. 
• Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data. 
• Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams. 
• Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation. 
• Assess, inspire and motivate a high performing team of data science professionals. 

WHAT YOU’LL NEED

• Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution. 
• Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods. 
• 10+ yrs of working experience in MLData science with NLP background  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus. 
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch). 
• Experience in leading a team of 3-5 data scientists. 
• Experience using tools to deploy models into the production environment such as Jenkins 

 EXPERIENCE- 

• Engineering Manager, Data Science- 10 years+

#LI-SV1

BOLD is seeking for QA professional who will work directly with the BI Development team to validate Business Intelligence solutions. He will build test strategy and test plans and test cases for ETL and Business Intelligence components. He will also validate SQL queries related to test cases and produce test summary reports. 

ABOUT THIS TEAM

BOLD Business Intelligence(BI) team is a centralized team responsible for managing all aspects of the organization's BI strategy, projects and systems. BI team enables business leaders to make data-driven decisions by providing reports and analysis. The team is responsible for developing and manage a latency-free credible enterprise data warehouse which is a data source for decision making and input to various functions of the organization like Product, Finance, Marketing, Customer Support etc.

BI team has four sub-components as Data analysis, ETL, Data Visualization and QA. It manages deliveries through Snowflake, Sisense and Microstrategy as main infrastructure solutions. Other technologies including Python, R, Airflow are also used in ETL, QA and data visualizations.

WHAT YOU’LL DO

• Work with Business Analysts, BI Developers to translate Business requirements into Test Cases  
• Responsible for validating the data sources, extraction of data, applying transformation logic, and loading the data in the target tables.  
• Designing, documenting and executing test plans, test harness, test scenarios/scripts & test cases for manual, automated & bug tracking tools. 

WHAT YOU’LL NEED

• Experience in Data Warehousing / BI Testing, using any ETL and Reporting Tool 
• Extensive experience in writing and troubleshooting SQL Queries using any of the Databases – Snowflake/ Redshift / SQL Server / Oracle 
• Exposure to Data Warehousing and Dimensional Modelling Concepts  
• Experience in understanding of ETL Source to Target Mapping Document  
• Experience in testing the code on any of the ETL Tools 
• Experience in Validating the Dashboards / Reports on any of the Reporting tools – Sisense / Tableau / SAP Business Objects / MicroStrategy  
• Hands-on experience and strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). 
• Good experience of Quality Assurance methodologies like Waterfall, V-Model, Agile, Scrum.  
• Well versed with writing detailed test cases for functional & non-functional requirements. 
• Experience on different types of testing that includes Black Box testing, Smoke testing, Functional testing, System Integration testing, End-to-End Testing, Regression testing & User Acceptance testing (UAT) & Involved in Load Testing, Performance Testing & Stress Testing. · Expertise in using TFS / JIRA / Excel for writing the Test Cases and tracking the  
• Exposure in scripting languages like Python to create automated Test Scripts or Automated tools like Query Surge will be an added advantage 
• An effective communicator with strong analytical abilities combined with skills to plan, implement & presentation of projects 

EXPERIENCE- 

• QA Engineer, BI: 2.5 years+
• Senior QA Engineer, BI: 4.5 years+

#LI-SV1

Bold is seeking a Devops professional who owns production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO

• Architect and productionize microservices with advanced DevOps pipelines , partnering with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
• Design comprehensive observability frameworks to minimize MTTR and ensure24x7platform reliability.
• Engineer secure, automated CI/CD workflows with governance and compliance controls
• Lead 24x7 on-call engineering, CDN & security hardening and cost optimization strategies IAAS & PAAS in Cloud
• Manage infrastructure operations, production deployments, and hybrid cloud environments.
• Drive cross-functional collaboration with development, QA, operations, and data teams across global time zones to scale OpenSearch/EMR platforms and platform operations

WHAT YOU’LL NEED

• 4.5+ years (Sr. Engineer) / 7+ years (Module Lead)AWS/DevOps production experience
• Scripting: Python/Bash/Groovy/Java(CI/CD, EKS, FastAPI/Spring Boot)
• CI/CD: Jenkins (declarative pipelines, Groovy),Spinnaker, CodePipeline /CodeBuild, Gradle, Maven, Artifactory, GitHub Actions
• IaC:Terraform, AWS CloudFormation
• Containers: EKS + Istio/ Gloo/ Karpenter, ECS, Docker, Buildah
• AWS: VPC/IAM/GuardDuty/AWS Config, S3/ DynamoDB /Lambda /SageMaker /EMR, cost optimization
• Observability: Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor
• GitHub: Actions automation, branch/PR governance
• DNS management (NS1/Cloudflare/GoDaddy)

EXPERIENCE-

• Sr. Engineer Devops AWS (Automation)- 4.5 years+

Senior Software Engineer II - Cloud SOAR, CyberSecurity

Location-Noida/Bangalore(Hybrid)

Sumo Logic's Cloud SOAR (Security Orchestration, Automation, and Response) platform enhances security operations by automating and orchestrating workflows across diverse security tools and systems. SumoLogic is seeking a highly skilled and experienced Senior Software Engineer to join our Cloud SOAR team. As a Senior Software Engineer, you will play a critical role in designing, developing, and maintaining our cutting-edge cloud-based SOAR solutions. This role requires a deep understanding of cybersecurity, cloud technologies, and a passion for innovation.

Key Responsibilities:

• Design and Development: Architect, design, and implement scalable and reliable cloud-based SOAR solutions that meet the highest standards of software quality and performance.
• Cybersecurity Expertise: Utilize your expertise in cybersecurity to develop advanced threat detection, response, and automation capabilities within our SOAR platform.
• Collaboration: Work closely with product management, architects, and other engineering teams to define technical requirements and deliver high-quality features.
• Innovation: Stay abreast of the latest trends and advancements in cloud security and SOAR technologies. Drive continuous improvement and innovation within the team.
• Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.
• Customer Focus: Engage with customers to understand their needs and challenges, translating them into effective technical solutions.
• Cross-functional Collaboration: Collaborate with Ops/SRE and customer success teams to ensure timely responses and resolutions to customer escalations and production issues.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 7+ years of hands-on experience in software engineering, 
• Technical Skills: Proficiency in cloud technologies (AWS, Azure, GCP), programming languages (Python, Java, Go, etc.). Preferred to have experience in working in CyberSecurity related technologies like SIEM/SOAR.
• Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions.
• Agile Development: Experience with Agile development methodologies and practices.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Customer Orientation: Experience in working directly with customers to gather requirements, provide support, and deliver solutions that meet their needs.

About Us

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

Position Overview: 

We are looking for a lead cloud engineer who has got good experience working with atleast 5 Plus years of experience in AWS and in building cloud components and preferably comes from a development background. 

Roles and Responsibilities: 

• You will be responsible for the development of cloud agnostic control tower/landing zone platform.
• You will be responsible for the development of terraform based reusable cloud native infra as a code platform.
•  You will be responsible along with the team in rolling out continuous observability across different cloud providers.
•   You will be responsible along with the team in setting up best in class security posture on the cloud.
• You will be responsible for the development of tools and code bases that contribute to the development of platform under platform engineering initiatives for different teams .
•  You will be responsible for participating in Cloud and DevOps architecture connects.
• You will be responsible for mentoring junior resources with right coding best practices as an individual contributor.
•  You will be responsible along with the team for delivering infra platforms across different projects.
• You will be responsible along with the team for documenting processes and best practices to ensure knowledge sharing across the team.

Must Have Skills:

• Experience: Around 8 years of total experience, including at least 5 years of hands-on experience in cloud architecture and infrastructure engineering — specifically in building and implementing cloud environments, not merely deploying applications on the cloud.
• Expertise in DevOps & Cloud tools
• Hands-on experience with Infra as a code tools like terraform, ansible, puppet, chef, cloud formation , etc..
• Expertise in any Cloud (AWS) 
• Good understand of version control (Git, Gitlab, GitHub)
• Hands-on experience in Container Infrastructure (Docker, Kubernetes)
• Ability to define container-based environment topology following principles of designing a well-architected framework.
• Ensuring availability, performance, security and scalability of production system
• Hands on implementation experience in AWS control tower and at least 2 implementations
• Hand on experience with Artifact repositories (Nexus, JFrog Artifactory) ·
• Hands on experience with CI/CD tools on-premises/cloud (Jenkins, CircleCI, etc. )
• Hands on experience with Monitoring, Logging, and Security (CloudWatch, cloud trail, log analytics, hosted tools such as ELK, EFK, Splunk, Datadog, Prometheus,)
• Hands-on experience with scripting languages like Python, Ant, Bash, and Shell
• Hands-on experience in designing pipelines & pipelines as code.
• Hands-on experience in end-to-end deployment process & strategy
• Hands-on experience of AWS with a good understanding of computing, networks, storage, IAM, Security, and integration services
• Capability to write complex code - e.g., automation of recurring/mundane tasks,
• Good understand of OS administration (CPU, memory, network performance troubleshooting), also demonstrates strong troubleshooting skills ·
• Demonstrates HA/DR design on Cloud platform as per SLAs/RTO/RPO
• You should have solid understanding of Terraform, understanding of usage and creation of terraform modules
• Good exposure on AWS CLI and SDK like boto3, azure SDK, etc..s
• Good understanding of AWS networking (VPC, security group, routing, TGW and vpc peering
• Good understanding services like RDS – Mysql, MongoDB, Document DB, Postgres,
• Good understanding of Kubernetes self-managed clusters, Fargate, S3, NLB, ALB, API gateways, route 53, WAF, Advance shield, Lambda and KMS.

Qualification: 

• BE/B.Tech or equivalent degree in Computer Science or related field. 

Location: 

• Noida

Roles and Responsibilities:

• Write and edit cloudformation / terraform templates, automation for configurations and deployment of applications
• Maintain industry best practices with security and compliance in mind 
• Interact with multiple teams to collaborate and carry out projects 
• Adapt to new tools and resources needed for projects 
• Understand networking components and gateways 
• Use terraform modules and scripts for IaC
• Working with the engineering and development teams to evaluate and determine the best cloud options.
• Altering and enhancing current systems.
• Educating teams on the application of fresh cloud efforts and technology.
• Designing, creating and implementing modular cloud-based applications.
• Using best practices for creating and maintaining cloud systems.
• Ensuring that data processing and storage operations are done effectively and in compliance with corporate security guidelines.
• Identifying, evaluating, and fixing infrastructure vulnerabilities and deployment problems with applications.
• Regularly assessing current systems and recommending improvements.
• Interacting with clients, giving cloud support, and delivering guidance in accordance with customer needs.

Must Have Skills:

• • Overall 5+ years of experience in Cloud Engineering.
  • Relevant 4+ years experience using AWS.
  • 3+ years experience with terraform.
            Hands-on with Kubernetes, EC2, and Linux administration is required.
  • Proficiency in at least one programming language, such as Python, Java, JavaScript, Node.js, or Go.
  • Ansible / Terraform knowledge.
  • Understanding of software and database concepts, such as managing large applications and troubleshooting issues.
  • Networking skills, such as knowing the basics of cloud infrastructure and data visualization.
  • Strong knowledge of networking components.
  • Experience writing and editing CloudFormation templates .
            Experience writing and editing IAM policies and rules.

Good to have

• Experience of integrating and debugging cloud solution with android clients 
• Experience with agile development, Jira & Git 

Education: 

BE/BTech/MCA/ME/MTech/MS in Computer Science or a related technical field or equivalent practical experience

Location: Noida

Website: https://www.nomiso.io/

BOLD is seeking for .Net professional, you will be a member of the product or platform development team that develops, customizes and support our various web-based products or services to meet the growing business needs.  

Your role will be to design and develop the layers of our applications, and to work in collaboration with other teams. A commitment to collaborative problem solving, sophisticated design, and quality product is essential. We're looking for someone who has a passion for software development and using the best of new and emerging technologies to create revenue generating software products in a deadline driven environment. 

ABOUT THIS TEAM

BOLD Platform services team design, creates, manage and maintains the highly scalable and distributed services for the wider use of web and mobile product applications/portals/websites. The current list of services is based on Microservices architecture whose domain ranges from visitor tracking, User profiles, authentication, content and payments.

Platform team uses state of the art modern technologies like .Net framework, Python, Java, SQL Server, My SQL, Graph DB, SOLR, and a lot of other tools & technologies serving millions of users with hundreds of million transactions everyday through a scalable and fault tolerant architecture.

WHAT YOU’LL DO

• Develop, test and deliver high quality, clean and maintainable code. 
• Translate application storyboards and use cases into functional applications. 
• Develop applications with strong requirements of High Load and Scalability. 
• Collaborate with business teams to understand the objectives. 
• Design, build, and maintain efficient, reusable, and reliable code. 
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. 
• Help maintain code quality, organization, and automatization. 

 WHAT YOU’LL NEED

• Excellent experience in object-oriented programming language (C#.) 
• Understanding of MVC is beneficial 
• Hands on experience in RDBMS (SQL Server etc.) 
• Experience in WEB API, SOLID Principle. 
• Experience of design patterns and practical implementation knowledge 
• Experience of ORM tools. 
• Familiarity with n-tier environment 
• Good analytical and problem solving skills 

EXPERIENCE:  

• Senior Software Engineer- 4.5 years+
• Module Lead- 5.5 years+

#LI-SV1

BOLD is seeking for Devops professional to own the production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO

• Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. 
• Productionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization. 
• Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. 
• Manage data/feature stores and search infrastructure for scalable ML inference. 
• Automate CI/CD for ML models and infrastructure with governance and security compliance. 
• Handle security patching, cost optimization, and 24x7 on-call rotations for critical services. 
• Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes.​ 

WHAT YOU’LL NEED

• 4.5+ years (Sr Engineer)/7+ years (Module Lead) in AWS MLOps with hands-on SageMaker (Pipelines, Model Registry, Studio), EMR, OpenSearch (kNN/vector search). 
• Python/Bash scripting for CI/CD, provisioning, monitoring of  FastAPI/Spring Boot web services; and Linux servers (Solr/OpenSearch). 
• AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting; databases (MySQL, MongoDB). 
• Strong Linux and networking fundamentals;  
• Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX).​ 

EXPERIENCE-

• MLOps Sr. Engineer, DevOps - 4.5+ years 

#LI-SV1

Position Overview: 

We are looking for an Engineering Manager who has got good experience of working with AWS, Azure or GCP and is very proficient in the agile delivery model.

Roles and Responsibilities: 

1. You would be responsible for driving reusable terraform based cloud platforms for different cloud providers like GCP, AWS, Azure.- 5
2. You would be Involved in driving the adoption of DevOps best practices across different projects in an organization.-8
3. You would facilitate implementation of fully automated Continuous Integration, Continuous Delivery, Continuous Deployment pipelines and DevOps processes for Agile projects-2
4. You would be responsible for orchestrating, leading, and executing multiple projects by utilizing standard of agile methodologies and tools-3
5. You would be responsible for leading a team of 8-10 people and focus on their growth path.
6. You would be responsible for supporting the Head of IT Operations in setting up cloud centres of excellence and FinOps best practices across the organizations.-6
7. You would be responsible for maintaining the Burn down charts, Velocity Chart using JIRA and Confluence of documentation.
8. You would be responsible for facilitating various sprint ceremonies like daily standups, sprint planning, sprint retrospective, release retrospective, aligning team for sprint goal, grooming sessions, sprint demo’s etc.
9. You should be tracking Service Incidents/ Problem tickets and documenting RCA for cloud infrastructure incidents.
10. You would be point of contact for external communications (e.g. from customers or stakeholders)
11. You would ensure deliverables are up to quality standards at the end of each sprint.

 Must Have Skills:

1. Overall experience of including 8–10 years in cloud infrastructure and 10 years of people and technical leadership experience.
2. You should have experience with the driving team for the automation of AWS or similar cloud infrastructure deployments.
3. Good understanding of Infrastructure and deployment of CI/CD process using GIT, Terraform, Jenkins, Ansible, python boto 3, Helm, etc.
4. You should have exposure to services like Kubernetes, RDS, etc..
5. Good understanding of SRE tools like Datadog, New Relic, etc. is plus.
6. Should have managed a team of 8 to 10 people.
7. You should have excellent knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement).
8. You should know how to drive Poker Planning/ T-shirt Sizing technique for Sprint Planning
9. You should have experience of working with teams spread across different functions in an organization.
10. You should have good knowledge in Agile best-practices, processes, and tools in support of DevOps processes.

Qualification: 

• BE/B.Tech or equivalent degree in Computer Science or related field. 

Location: 

• Noida