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- Managing and building effective teamwork and bringing all stakeholder on board.
- Recommending and sourcing new products based on competitor offerings, customer comments and market demands.
- Negotiating program terms with vendors.
- Assisting with catalogue layout preparation and product positioning.
- Developing pricing strategies for new and existing products.
- Building strong relationships across departments.
- Training and directing a team of Associates
What you need to have:
- Must have handled Electronic Products development
- Handled team and vendors, along with coordination with multiple departments
- Should be an effective communicator.
- Should have the speed that is keen to start ups.
- Strong Problem-solving skills.

Global Digital Transformation Solutions Provider
SENIOR DATA ENGINEER:
ROLE SUMMARY:
Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.
RESPONSIBILITIES:
- Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
- Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
- Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
- Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
- DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
- Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
- Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
- Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
- Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
- Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.
REQUIRED QUALIFICATIONS:
- Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
- Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
- Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
- ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
- Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
- DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
- Serverless and events: Design event-driven distributed systems on AWS.
- NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
- AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.
NICE-TO-HAVE QUALIFICATIONS:
- Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
- Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
- Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
- Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.
OUTCOMES AND MEASURES:
- Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
- Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
- Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
- Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
- Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.
LOCATION AND SCHEDULE:
● Location: Outside US (OUS).
● Schedule: Minimum 6 hours of overlap with US time zones.
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.
As a DevOps Engineer, you’ll play a key role in managing our cloud infrastructure, automating deployments, and ensuring high availability across our global server network. You’ll work closely with our technical team to optimize performance and scalability.
Responsibilities
✅ Design, implement, and manage cloud infrastructure (primarily Azure)
✅ Automate deployments using CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)
✅ Monitor and optimize server performance & uptime (100% uptime goal)
✅ Work with cPanel-based hosting environments and ensure seamless operation
✅ Implement security best practices & compliance measures
✅ Troubleshoot system issues, scale infrastructure, and enhance reliability
Requirements
🔹 3-7 years of DevOps experience in cloud environments (Azure preferred)
🔹 Hands-on expertise in CI/CD tools (GitHub Actions, Jenkins, etc.)
🔹 Proficiency in Terraform, Ansible, Docker, Kubernetes
🔹 Strong knowledge of Linux system administration & networking
🔹 Experience with monitoring tools (Prometheus, Grafana, ELK, etc.)
🔹 Security-first mindset & automation-driven approach
Why Join Us?
🚀 Work at a fast-growing startup backed by Microsoft
💡 Lead high-impact DevOps projects in a cloud-native environment
🌍 Hybrid work model with flexibility in Bangalore, Delhi, or Mumbai
💰 Competitive salary ₹12-30 LPA based on experience
How to Apply?
📩 Apply now & follow us for future updates:
🔗 X (Twitter): https://x.com/CygenHost
🔗 LinkedIn: https://www.linkedin.com/company/cygen-host/
🔗 Instagram: https://www.instagram.com/cygenhost
Would you like any modifications before posting this? Or should I move on to the next role? 🚀
Job Summary:
Job Description Combine your passion for technology, healthcare, and communications as an HCS Web/React UI Software Engineer. You will develop and improve our software workflow control systems through the full software development cycle from design to maintenance, while improving hospital communication and performance. This role will work on re-engineering existing applications into the SAAS model using state of the art technologies.
Primarily responsible for technical leadership, support, and guidance to local engineering teams, ensuring that projects are completed safely, efficiently, and within budget as well as overseeing the planned maintenance programs of facilities.
Key Responsibilities:
• Oversee and coordinate all facilities management and project activities, including maintenance, renovation, and remodeling projects.
• Lead and manage facility-related projects, such as renovations, expansions, or relocations. Develop project plans, allocate resources, set timelines, and monitor progress to ensure successful completion within budget and schedule.
• Oversee relationships with external vendors, contractors, and service providers. Negotiate contracts, monitor performance, and ensure compliance with agreed-upon terms and service level agreements.
• Identify and implement best practices in facilities management. Ensure facilities comply with all relevant codes, regulations, and health and safety standards. Stay updated on changes in regulations and implement necessary changes to maintain compliance.
• Oversee facilities planned maintenance programs.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Lead and oversee engineering projects within the Dubai & Northern Emirates region.
• Prepare financial reports and forecasts for management review.
• Identify and mitigate project risks and issues.
• Ensure compliance with environmental, health, and safety regulations.
• Generate progress reports, status updates, and other project-related documentation as required.
• Ensure that all project deliverables are of the highest quality, and that they meet the requirements of the project scope.
Qualifications:
• Bachelor's Degree in engineering or related fields.
• Engineering qualifications in Electrical or HVAC disciplines will be an advantage.
• 5 - 10 years of experience in Engineering in Healthcare setup or a similar field.
• Strong analytical and problem-solving skills.
• Must have hands-on experience in hospital systems.
• Ability to think critically and maintain a high level of confidentiality.
• Must be willing to participate in crisis management at facility level.
• Strong interpersonal, verbal, and written communication skills.
• Familiarity with project management software.
We are looking for a designer with a strong sense of conceptual thinking and well acquainted with digital trends to translate our brand message into distinctive visuals and communicate with our consumers.
Responsibilities
- Design collaterals for our performance marketing team across multiple display networks, social media, and native platforms
- Execute our visual strategy and calendar to be deployed across all digital channels
- Work with our copywriter to conceptualize compelling designs that increase the brand’s overall reach, engagement, and conversions to sales
- Work on design collaterals like social media creatives, videos, infographics, blog & web banners, emails, landing pages, etc
- Optimize designs and visual language to match the relevant channel requirements but also maintain our overall brand tone
- Monitor and implement relevant digital design trends to keep our brand communication engaging and up-to-date with industry standards
Qualifications
- 5 - 6 years of experience designing digital content and marketing collaterals, with a good portfolio of work
- Has a clean visual design sense with good conceptual, typography, grid, and illustration skills
- Animation and video editing skills will be an added advantage, but not mandatory
- Can work independently and in a team to manage multiple projects and aggressive deadlines
- Ability to work in a fast-paced environment with high volumes
- Exceptional attention-to-detail
- Must be proficient in Adobe Creative Suite
- Understand competitive and best-in-class design practices for digital content
Do you wish to be a part of a disruptive team, passionate towards democratizing education for students across India? Then read more.
Our client is an expert in education financing and counselling related to higher studies abroad. They help students to understand about scholarships in various colleges abroad, whether they are eligible and how to apply for such esteemed institutions. Their dedicated page enlists every scholarship available across the globe, apart from other facilities required by students like visa counselling, forex, accommodation, Peer contacts etc.
They also offer the best resources for exams like IELTS, TOEFL and GRE apart from organising webinars and events to connect with industry experts, alumni and fellow students - that helps to prepare for these travels, loans and more. Partnered with the most prominent Banking and non-banking financiers, the team is led by FinTech-experienced IIT Kanpur alumni, passionate about offering sustainable financial offerings.
As a Sr Software Developer (Full stack), you will be part of the product development team.
What you will do:
- Improving customer experience, not only for borrowers, but also other partners on the platform
- Ensuring seamless integration with data/ service providers and lending partners
- When not doing any of above, writing tests to prevent any regressions
What you need to have:
- Full-stack development experience
- Experience with Ruby on Rails
- Self-starter: Someone who can develop independently
- Passionate about problem solving, ability to see the big picture
- Realizes the value of 80-20
- Regular participation on Codechef, Topcoder etc. (If yes, please cite your rank and pass on a link to your profile!)
- Prior experience at a bank / fin-tech / non-banking financial player in a technical role
- Ruby on Rails, Postgres, AWS, jQuery
EXPERIENCE: 0 - 1 ( Freshers are highly preferrable)
Freshers with any graduation in any stream can apply for this job
Two Rotational weekoff will be provided
JOB LOCATION: Gurgaon
SKILLS REQUIRED : kannada and English language

