Roles and Responsibilities
· Design content marketing strategies and set short-term goals.
· Plan, handle and execute various digital channel ads and PPC campaigns for company websites
· Handle team of executives to lead SEO, content, and design requirements of marketing campaigns
· Handle both online and offline marketing: hands-on experience with digital media, including SEO , PPC, social media marketing, email, and affiliate channels.
· Lead and manage whole lead generation initiative for B2B services campaign in international markets like USA, UK, Australia and Europe.
· Use and manage different tools required to manage, control and report progress of marketing initiatives and campaigns
· Conceptualize, design and execute various marketing campaigns from time to time to generate high quality qualifies leads for company
· Accomplished at leveraging full value from marketing automation processes and tools.
Requirements
· 4+ years of hands-on marketing experience in a B2B role.
· Excellent understanding of B2B services marketing.
· Knowledge of Demand Generation tactics and Lead Conversion principles.
· Ability to create value propositions that communicate clearly to targeted audiences.
- Extensive experience in creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.
· Demonstrated ability to manage the budgeting process and use of analytical skills.
· Proven track record in delivering marketing campaigns that drive sales growth.
· An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.
· Excellent English written and verbal communication skills.
Skills
· B2B Services Marketing
· Marketing Campaigns
· Demand Generation
· Lead Conversion
· Content Creation
· Sales process understanding
· SEO
· PPC
Shubham Vishwakarma
Full Stack Developer - Averlon
About om tat sat solutions pvt ltd
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Role & Responsibilities
As an Associate Manager - Customer Success, you are someone who comes with 6 to 8 years of Account Management/Business Development/ problem solving / hustlingexperience ina highgrowthinternet startup/ technologycompany. As a technically savvy and results-driven Customer Success Manager, your primary focus will be driving revenue growth, reducing churn, enhancing product value, and supporting pre-sales activities. The ideal candidate should possess excellent relationship-building skills, a strong technical background, and a drive for achieving results.
- Serve as the primary point of contact and trusted advisor for assigned clients, ensuring exceptional customer service and satisfaction.
- Proactively engage with clients to understand their business objectives, monetization goals, and challenges, and provide strategic recommendations to achieve optimal results.
- Collaborate closely with internal teams, including Sales, Product, and Operations, to coordinate seamless onboarding, implementation, and ongoing support for clients.
- Conduct regular performance reviews and analysis of client monetization stack, identifying areas for improvement and developing optimization strategies.
- Monitor key performance metrics and provide timely reports and insights to clients, highlighting advertising performance, trends, and opportunities for growth.
- Deliver product demos and educate clients on best practices, new features, and industry trends to maximize their utilization and success with our platform solutions.
- Resolve client inquiries, concerns, and issues promptly and effectively, escalating to the appropriate teams when necessary.
- Support pre-sales activities, including conducting product demonstrations, presenting technical information, and addressing client inquiries and concerns.
- Stay up to date with industry trends, competitive landscape, and emerging technologies in the ad tech space to provide valuable insights and recommendations to clients.
Ideal Candidate
- Strong Manager – Customer Success, Account management Profile
- Mandatory (Experience 1) – Must have 6+ years of overall experience with atleast 4+ Years in Customer Success role
- Mandatory (Experience 2) – Must have 3+ years of experience in AdTech industry
- Mandatory (Experience 3) – Must have experience managing clients in the outside India market (Preferably US/America clients)
- Mandatory (Experience 4) – Must have cross-functional experience working closely with Sales, Product, and Ad Operations teams for campaign execution, performance optimization, and client delivery.
- Mandatory (Experience 5) – Must have strong technical understanding of digital advertising / programmatic platforms/software products
- Mandatory (Company): Candidate should have worked in AdTech Companies in last 3 years..
- Mandatory (Stability) : Candidate must have no frequent job hops and a minimum of 1+ year in the current organization.
- Mandatory (Note1): Please ensure candidates have read about media.net and the industry before the screening call
- Mandatory (Note2): Please ensure candidates have added numbers/metrics in resume
- Preferred (Education) – B.E/B.Tech (IT/CSE/ECE) with MBA preferred
- Preferred (Experience 1) – Exposure to pre-sales activities, including product demos, onboarding, and performance review presentations.
- Preferred (Experience 2) – Experience in analyzing data-driven advertising performance metrics and building optimization strategies.
Perks, Benefits and Work Culture
- Flexible work hours and leaves
- Salary advance
- Maternity/Paternity leave benefits & adoption assistance
- Butler & Concierge services
- Team Off-sites & Celebrations
Beyond Work:
- Insurance benefits for you and family
- Interest-free loans
- Gift vouchers for special moments
- Fully-equipped Gym
- Education Sponsorship Programs
Amazon Web Services (AWS)ROLE & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Kubernetes
grafanaRole Overview
We are looking for a skilled Systems Engineer with strong expertise in Ansible automation, Kubernetes, and system-level scripting. This role focuses on building scalable automation and managing GPU-aware infrastructure.
Key Responsibilities
- Develop and maintain automation workflows using Ansible
- Write and optimize Ansible playbooks for infrastructure and application deployment
- Automate system-level tasks using Bash scripting
- Debug and test automation workflows for reliability and scalability
- Manage Kubernetes clusters, including:
- Pod lifecycle management
- Networking and firewall configurations
- GPU resource mapping and scheduling
- Custom Resource Definitions (CRDs)
- Collaborate with engineering teams to integrate automation into CI/CD pipelines
- Ensure secure and scalable infrastructure for AI workloads
Requirements
- Strong hands-on experience with Ansible and automation workflows
- Solid Linux system administration experience
- Proficiency in Bash scripting
- Deep understanding of Kubernetes (pods, networking, CRDs, GPU scheduling)
- Experience in debugging and optimizing automation systems
- Strong problem-solving and ownership mindset
Nice to Have
- Experience with GPU workloads or HPC environments
- Exposure to monitoring tools like Prometheus and Grafana
DockerKubernetesAmazon Web Services (AWS)Company - Apptware Solutions
Location Baner Pune
Team Size - 130+
Job Description -
Cloud Engineer with 8+yrs of experience
Roles and Responsibilities
● Have 8+ years of strong experience in deployment, management and maintenance of large systems on-premise or cloud
● Experience maintaining and deploying highly-available, fault-tolerant systems at scale
● A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
● Practical experience with Docker containerization and clustering (Kubernetes/ECS)
● Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, VPN)
● Version control system experience (e.g. Git)
● Experience implementing CI/CD (e.g. Jenkins, TravisCI, CodePipeline)
● Operational (e.g. HA/Backups) NoSQL experience (e.g. MongoDB, Redis) SQL experience (e.g. MySQL)
● Experience with configuration management tools (e.g. Ansible, Chef) ● Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)
● Bachelor's or master’s degree in CS, or equivalent practical experience
● Effective communication skills
● Hands-on cloud providers like MS Azure and GC
● A sense of ownership and ability to operate independently
● Experience with Jira and one or more Agile SDLC methodologies
● Nice to Have:
○ Sensu and Graphite
○ Ruby or Java
○ Python or Groovy
○ Java Performance Analysis
Role: Cloud Engineer
Industry Type: IT-Software, Software Services
Functional Area: IT Software - Application Programming, Maintenance Employment Type: Full Time, Permanent
Role Category: Programming & Design
HTML/CSS
Javascript
Angular (2+)
AngularJS (1.x)Role & Responsibilities:
- Individuals are responsible for all traditional development activities analysis, design, coding, testing, and documentation.
- Add new features to existing Windows and Web-based applications in Visual Studio 2019. Interacting with internal team.
- Transform business and design needs into innovative products.
- Drive all projects to completion within deadlines.
- Perform thorough testing to find issues ahead of time.
- Engineering software needs more precise analysis & coding skillset
- Enhance skillset by working with fortune 500 clients
- Interacting with internal team.
Qualifications:
- E in computer science or related fields.
- Hand on development experience with web & database technologies (MS SQL).
- Excellent programming & communication skills Strong problem solving, judgmental, and decision-making skills.
- Ability to work at the tactical and strategic levels of IT initiatives.
- Impressive hands-on experience in .Net technologies. Impressive hands-on experience and knowledge with C#, SQL, JSON, XML, Win Forms & MVC, Angular, JavaScript, jQuery , HTML/CSS.
- Self-Motivated, flexible & Innovative
ScalaHave you streamed a program on Disney+, watched your favorite binge-worthy series on Peacock or cheered your favorite team on during the World Cup from one of the 20 top streaming platforms around the globe? If the answer is yes, you’ve already benefitted from Conviva technology, helping the world’s leading streaming publishers deliver exceptional streaming experiences and grow their businesses.
Conviva is the only global streaming analytics platform for big data that collects, standardizes, and puts trillions of cross-screen, streaming data points in context, in real time. The Conviva platform provides comprehensive, continuous, census-level measurement through real-time, server side sessionization at unprecedented scale. If this sounds important, it is! We measure a global footprint of more than 500 million unique viewers in 180 countries watching 220 billion streams per year across 3 billion applications streaming on devices. With Conviva, customers get a unique level of actionability and scale from continuous streaming measurement insights and benchmarking across every stream, every screen, every second.
As Conviva is expanding, we are building products providing deep insights into end user experience for our customers.
Platform and TLB Team
The vision for the TLB team is to build data processing software that works on terabytes of streaming data in real time. Engineer the next-gen Spark-like system for in-memory computation of large time-series dataset’s – both Spark-like backend infra and library based programming model. Build horizontally and vertically scalable system that analyses trillions of events per day within sub second latencies. Utilize the latest and greatest of big data technologies to build solutions for use-cases across multiple verticals. Lead technology innovation and advancement that will have big business impact for years to come. Be part of a worldwide team building software using the latest technologies and the best of software development tools and processes.
What You’ll Do
This is an individual contributor position. Expectations will be on the below lines:
- Design, build and maintain the stream processing, and time-series analysis system which is at the heart of Conviva's products
- Responsible for the architecture of the Conviva platform
- Build features, enhancements, new services, and bug fixing in Scala and Java on a Jenkins-based pipeline to be deployed as Docker containers on Kubernetes
- Own the entire lifecycle of your microservice including early specs, design, technology choice, development, unit-testing, integration-testing, documentation, deployment, troubleshooting, enhancements etc.
- Lead a team to develop a feature or parts of the product
- Adhere to the Agile model of software development to plan, estimate, and ship per business priority
What you need to succeed
- 9+ years of work experience in software development of data processing products.
- Engineering degree in software or equivalent from a premier institute.
- Excellent knowledge of fundamentals of Computer Science like algorithms and data structures. Hands-on with functional programming and know-how of its concepts
- Excellent programming and debugging skills on the JVM. Proficient in writing code in Scala/Java/Rust/Haskell/Erlang that is reliable, maintainable, secure, and performant
- Experience with big data technologies like Spark, Flink, Kafka, Druid, HDFS, etc.
- Deep understanding of distributed systems concepts and scalability challenges including multi-threading, concurrency, sharding, partitioning, etc.
- Experience/knowledge of Akka/Lagom framework and/or stream processing technologies like RxJava or Project Reactor will be a big plus. Knowledge of design patterns like event-streaming, CQRS and DDD to build large microservice architectures will be a big plus
- Excellent communication skills. Willingness to work under pressure. Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity
Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their businesses ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision, and Warner Bros Discovery.
Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets!
Post - Xamarin Developer
Experience – 0.6 months -2 ys
Education BE or equivalent
Required Skills -
- 2+ Years of hands-on experience in design, architect, developing and delivering native mobile and cross platform Xamarin.Android, Xamarin.iOS and Xamarin.Forms applications using Xamarin Studio or Microsoft Visual Studio.
- Hands-on experience in design and architect mobile back-end services.
- Strong knowledge in C#.net and SQLite Database with Entity Framework.
- Strong knowledge of MVC Web API’s is an advantage.
- Experience in designing and developing custom controls for Android, Windows and iOS.
- Solid foundation in data structures, algorithms, and object-oriented design.
- Capability to write and execute unit test cases.
- Independent researching, solution finding, analysis and problem-solving skills and capabilities.
- Knowledge on Agile and Scrum approach is a must.
- Should have a strong knowledge of OOPS and intermediate knowledge of front-end GUI design and development.
- Ability to complete all phases of the software development life cycle including analysis, design, functionality, testing and support.
- Must be a team player and self-starter with the ability to communicate clearly.
PythonQuantsapp is India's first Option Trading Analytics platform on mobile. With
ever-growing users,
it makes us one of the fastest growing platform for options trading in India.
Quantsapp wants to accelerate its growth even more and capture new
countries which requires the development team to grow.
At Qauntsapp we are looking for a dynamic team mate to take up a role of
Server side development to support the brain behind the application.
Job Summary :
- You will be responsible for developing new logics / products / features as
described by the business / research team.
- An ideal candidate should be strong in mathematical processes like
optimizations, matrix algebra, differential equation, simulation process etc.
and should also possess decent hands-on experience on python, sql server and
preferably Aws. IIT graduation is a plus.
Responsibilities :
- Create algorithms from scratch
- Create products and backend API's as described by the business team
- Back-test and create hypothesis as desired by the research team
- Code the backend of logics for consumption by the UI team
- Deploy websockets, rest api's & dynamic tcp, udp based data flow
- Deployment and maintenance of codes with version control
Requirements :
- Should possess a good knowledge of advanced computing and mathematical
process
- Strong hands-on on Python and optionally Matlab
- Knowledge of databases like Sql & No Sql
- Ability to work with tight time lines
- In depth knowledge and good hands on experience on Pandas and Numpy
- Knowledge of Option Markets is a plus
- Excellent organizational and multitasking ability
- Experience on AWS Cloud is a plus
.NETAngular (2+)
Machine Learning (ML)Python
Data Science
Deep LearningDataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon