Role Description
- Office 365 Migration Specialist
- Position requires prior Office 365 mailbox migration experience, scheduling migration batches and process management.
- Under the general direction of the customer IT/Security/Okta Teams is responsible for assisting in the planning and support of the migration from multiple on-premises Exchange environments & third party provided Mail services into a single Azure-hosted Office 365 environment.
- Candidates must be flexible to work Monday through Friday
Primary roles and responsibilities
- Hands-on migration/deployment of Exchange 2007/2010/2016 to Office 365 Azure-hosted solution
- Provide Level II/ Level III support for email and messaging systems
- Perform large-scale infrastructure implementations and migrations
- Configure tools for monitoring and use them to proactively identify issues within email & messaging systems
- Deployment of O365 Application (One Drive, SharePoint, Teams) with existing data migration
- Implementation and migration of Exchange Archiving and Journaling.
- Create and maintain technical documentation.
- Develop and train Service Desk and Endpoint Support to resolve level 1 and 1.5 Office 365 issues
- Participate in monthly maintenance windows
- Performs related duties as assigned
Experience and educational requirements
- Bachelor’s degree/Any equivalent Post Graduation.
Minimum skills, knowledge, and ability requirements
- Hands-on Exchange to O365 migration experience is a must.
- Very Good Knowledge on One Drive, SharePoint
- Integration of O365 with Okta
- Good communication and customer handling skills, candidates need to able to work with minimal supervision.
- Solid understanding of Microsoft Exchange 2007, 2010, 2013, 2016, O365.
- Solid understanding of ITIL/ITSM best practices.
- Excellent problem solving and decision-making skills.
- Experience with Veritas Enterprise Vault a plus.
- Ability to work independently and as part of a team.
- Certifications in this field are a plus.

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Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
ROLES AND RESPONSIBILITIES:
As the G1 Head of Technical Support, you will be the central force ensuring an exceptional post-go-live technical experience across the company suite. You’ll oversee L3 support operations across all products, manage customer escalations, drive cross-team resolution, and build processes for visibility, accountability, and continuous improvement. This is a cross-functional, high-impact leadership role, working across engineering, QA, DevOps, customer support, and product teams to ensure that every issue is tracked, resolved, and learned from—within SLA and with a customer-first mindset.
YOU WILL-
Incident & Ticket Management:
- Own end-to-end L3 technical support governance across company products (ERP, POS,OMS, etc.)
- Ensure customer issues are responded to and resolved within defined SLAs
- Drive prioritization, root cause resolution, and engineering coordination across product teams
- Personally manage and de-escalate high-severity issues with customers and internal teams
Process & Metrics Ownership:
- Define, track, and optimize support processes, SLAs, escalation workflows, and ticket lifecycle practices
- Build dashboards for SLA adherence, issue aging, bug trends, defect density, etc.
- Establish strong feedback loops to engineering/product based on recurring issues
RCA & Knowledge Management:
- Ensure timely Root Cause Analysis (RCAs) for all S1/S2 issues with actionable insights
- Lead trend analysis to preempt issues and recommend long-term fixes or product hardening
- Build and maintain a knowledge base to improve internal resolution efficiency
Customer Interaction:
- Engage with enterprise customers on complex or long-running tickets
- Serve as a trusted escalation point for strategic clients
- Collaborate with Customer Success and Implementation teams for seamless client experience
Collaboration & Leadership:
- Coordinate with Product Architects and Engineering Heads to ensure ticket resolution
- Build and mentor a lean L3 support team or tiger squads when required
- Drive a culture of accountability, learning, and proactiveness in technical support
IDEAL CANDIDATE:
- 11+ years of experience in technical support or L3 support leadership roles in SaaS or high- scale enterprise products
- Strong experience handling customer escalations, RCAs, and cross-team ticket resolution
- Solid technical background (understanding of APIs, microservices, database queries, logs, debugging)
- Expertise in support tooling: Freshdesk, Jira, ServiceNow, etc.
- Excellent communication skills—able to speak fluently with both customers and engineers
- Data-driven mindset for reporting, insights, and stakeholder updates
- Experience working in retail tech, ERP, or platform businesses is a big plus
PERKS, BENEFITS AND WORK CULTURE:
- Comprehensive health insurance coverage.
- Excellent rewards and recognition policy.
- Transparent compensation policy with no unnecessary deduction in CTC.
- Annual company off-site and a variety of events, celebrations throughout the year.
- Travelling opportunities between our offices across the country.
- Annual company walkathon & related sporting events.
- Quarterly Coffee with CEO.
About the Role
Kim.cc is building the AI-powered BPO of the future. As a Prompt Engineer, you will design,
refine, and optimize prompt systems that power our LLM-driven features—across agent
assistance, QA automation, ticket summarization, customer insights, routing, and voice/chat
workflows.
You will work at the intersection of language, product logic, and AI behaviour, shaping
how our AI systems reason, respond, and perform in real-world customer support
environments.
Key Responsibilities
Prompt Design & Optimization
● Craft high-quality prompts, instructions, workflows, and agent behaviours for
LLM-based features.
● Build, iterate, and optimize prompts for reliability, accuracy, tone, safety, and cost.
● Develop evaluation frameworks to test performance across edge cases, failure
modes, and regressions to ensure robustness.
LLM System Development
● Work closely with AI engineers to integrate prompts into chains, RAG systems, or
hybrid models.
● Create prompt-based pipelines for tasks like:
○ Chat/voice summarization
○ Classification & tagging
○ QA automation
○ Disposition prediction
○ Agent-assist suggestions
○ Multi-step reasoning & workflows
Data & Evaluation
● Analyze call/chat transcripts to identify patterns and refine prompt logic.
● Run A/B tests, prompt benchmarks, and track quality metrics (accuracy,
hallucinations, latency).
● Document prompt changes, rationale, and performance deltas.
Cross-functional Collaboration
● Partner with product, ops, and engineering teams to understand workflows and
problem statements.
● Translate business requirements into robust prompt systems.
● Build internal frameworks, libraries, and best practices for prompt engineering.
What You Should Bring
● Strong command over language, reasoning, and structured communication.
● Experience working with LLMs, prompt engineering, or NLP-based products.
● Familiarity with OpenAI APIs, Anthropic, HuggingFace, LangChain, or similar
ecosystems.
● Analytical mindset with the ability to test, measure, and improve AI outputs.
● Ability to think through real-world workflows and edge cases.
● Comfort working in a fast-paced startup environment.
Nice to Have
● Experience with Python for prototyping or evaluation automation.
● Understanding of customer support workflows or BPO operations.
● Exposure to RAG, embeddings, or LLM fine-tuning.
● Prior work in conversational AI, chatbots, or dialogue design.
1. Design and implement RESTful APIs
2. Optimize the performance of applications for full-scale production deployments
3. Test software to ensure responsiveness and efficiency
4. Participate in code reviews
5. Write clean, scalable & efficient code along with technical documentation
Requirements:
1. 5+ years of backend development experience along with a degree in Computer Science, Statistics, or a relevant field
2. Sound knowledge and application of algorithms and data structures with space and complexities
3. Hands-on experience with JavaScript and Node.js
4. Knowledge of scripting languages like Python is a plus point.
5. Effective communication skills: Regularly achieve consensus with peers and clear status updates
6. A willingness to learn new technology, whatever lets you deliver the best product
Benefits:
1. You get to work in a liberal environment with some of the best engineers and entrepreneurs
2. Competitive CTC along with the opportunity to receive ESOPs/Tokens
3. Remote work culture
Bonus Points:
1. Understanding of web3 concepts
2. Experience working in blockchain or fintech space
3. Founded or have worked as a founding engineer in a startup previously.
4. Experience working with a remote team
Working knowledge (including design and configuration) of any TMS application e.g. ION-IT2, Oracle Treasury, SAP TRM, etc.
2. Should have completed at least 4 years in any TMS IT implementation
3. Strong experience with corporate funding, treasury, and related accounting functions.
4. Experience in business transformation with adapting existing systems to new businesses and strategies
5. Strong academic background – An excellent degree from a top-tier university is required in a subject that demonstrates the need for logical thinking, precise understanding, and clear articulation
Attributes:
· Independent delivery and ownership-focused
· End-to-end process mindset
· Able to self-manage, collaborate, and regularly prioritize and manage activities across multiple workstreams
· Good communicator, engaging, and able to work with offshore teams across various time zones
· Excellent written and verbal communication skills
· Ability to make data-driven decisions & thrive in a fast-paced environment
Key Responsibilities:
Accountable for functionally supporting Trafigura’s IT deliverables for the TMS application. Including;
6. Ensuring TMS application supports the agreed business requirements.
7. Review and challenge all requirements/change requests and specifications including:
1. Functional Requirements
1. Application functions
2. Reporting functions
2. Application Interfaces
3. Operational control activities
4. Audit requirements
8. Documenting the implementation specifications/configurations, and preparing a knowledge base for the application.
9. Where required, administering, the configuration of the TMS.
10. Develop (review if required) test scenarios and test cases and support end-users with testing
11. Support all type of issue resolution with the respective application owners
12. Identify areas of improvement, research best practices, and offer guidance and recommendations for process changes and potential solutions
About us
Burgundy Brand Collective is one of India's fastest-growing specialty retail companies with stores in 9 cities. The company partners with best-in-class international luxury brands to offer Indians a window to the finest food and lifestyle themes from across the world. Our brand portfolio includes Royce’ Chocolate- a premium Japanese confectionery brand, Onitsuka Tiger - a leading Japanese fashion and lifestyle brand, Provenance Gifts – a marketplace for curated gourmet gifts, Papabubble – an artistic, youth-oriented global candy brand and Ligne Roset – a luxury French contemporary furniture brand. The plan is to aggressively (yet astutely) scale out a portfolio of international brands pan-India.
Position: Customer Service Executive
As the Customer Service Executive, you will be responsible for managing and maintaining customer satisfaction. An outstanding customer service executive should possess a proven record of successful customer service and management skills. Along with the team, you will ensure that the customer experience delivers the brand values.
Duties & Responsibilities:
- Educating customers by presenting and explaining retail products, answering queries, and helping customers make selections by building customer confidence and offering suggestions/opinions
- Replenishing retail shelves as per store requirement
- Managing store visual merchandising and managing customer billing and gift-wrapping
- Maintaining the Daily/Weekly/Monthly inventory records and supporting the Store Manager in stock reconciliations
- Maintaining a safe and healthy work environment
- Following the cleaning and hygiene guidelines set by the store
Candidate Qualifications & Skill Requirements:
- Candidate should ideally have 2- 3 years of experience in a similar profile
- Graduate in any stream. Hotel Management qualification/ course will be an added advantage.
- Experience in a retail setting will be an added advantage as well as an experience in luxury retail or hospitality
- Good written and verbal communication skills
- Ability to work well under pressure
- Flexible and works well with a team
- Ability to multitask
Reporting Manager: Store Manager
What we're looking for
An experienced Software Engineer with a love for Web products, with demonstrated ability to contribute individually as well as in a team. If you love spending time on Hackernews/Github and love experimenting with latest technologies, this might be the role for you.
Responsibilities
- Own the development of product features end-to-end including scoping, architecting, coding, testing, and rolling out features
- Work closely with PMs, designers, and other engineers to ideate solutions to user problems
- Become an expert in your product area and our tech stack
- Make improvements to developer productivity through process / code improvements and mentorship
Qualifications
- 3+ years of experience designing and building complex JavaScript web based software systems
- Demonstrable Full Stack development experience with Angular or React and Node.JS in Typescript.
- Knowledge of multiple modern computer languages and frameworks with an understanding of using the right technology for the right purpose
- Experience with remote development teams working on the same platform
- Experience with writing testable code and driven by best practices Agile development process knowledge/experience
- Bachelor’s degree in Computer Science or related field
- Should be hands on with Android/Flutter app development and related AWS development
- Should be a self starter and ready to learn the latest technologies
- Should be willing to work in a startup environment
- Should have good communication and logical skills
- Shoud be a team Player
- Should have knowledge of various frameworks
Thanks
Be responsible for the design, development, quality, and delivery of initiatives for the team
Recruit great engineers, in collaboration with Velocity’s recruiting team
Define the technology roadmap for the team and liaison with the business teams and product managers to shape the business OKR planning
Oversee agile delivery processes and adoption of milestone-based execution; proactively lead stakeholders communications related to deliverables and risks
Research and identify emerging technologies to define long-term engineering initiatives
Lead and mentor your team, taking them to the next level of technical expertise and inspiring a team culture of ownership, accountability, data-based decisions, continuous improvement, and blameless retrospectives
Work closely with Engineering Leaders, Managers; Product Management, Business Development and Operation teams, and enable them by providing
You set up best practices for development and champion their adoption and at the same time Architect & design technically robust, flexible and scalable solutions.
Perform regular performance evaluation and share and seek feedback.
What to bring
At least 5 years of experience in software development and delivery, with in-depth knowledge of software architectures; must have at least 2 years of experience in leading small and mid-sized development teams for the technology ( Golang, Python)
Great project management skills to lead and juggle multi-engineer projects and deliver high-quality projects on time
BTech, MTech, or PhD in Computer Science or a related technical discipline (or equivalent) from Tier 1 Institutions like IIT, NIT, BIT
Past experience with startups and fast paced environments is an added advantage
Excellent leadership skills to mentor the engineers under you.
Track record of leading productive engineering teams
You lead by example, by setting the right context, and by helping teammates do their best work
Deep understanding of technologies and architecture in a highly scalable and available set-up.
Good communication skills in verbal and written English.
Should be preferred from only product company background
- Minimum 3+ years of ReactJS Web Application development
- Minimum 3+ years of Node.js server-side rendered development
- Experience developing and supporting enterprise-grade applications
- Experience working with Docker or kubernetes
- Strong ability to troubleshoot / debug issues
- Experience integrating REST APIs, ability to quickly pick up new APIs/SDKs
- Capable of working in a fast-paced agile environment
- Strong discipline in documenting engineering processes and best practices
- Disciplined in writing unit tests, test code coverage










