Customer Support Engineer

Role: Mid–Senior Cloud Infrastructure Engineer

Type: Individual Contributor

Location: Baner, Pune

Experience: 4–9 years

About the Role

We are establishing a Mid–Senior Cloud Infrastructure Engineer CoE with a focus on cloud-native automation. As a Cloud Infrastructure Engineer, you will design, automate, and maintain AWS infrastructure using Terraform following IaC and platform engineering best practices.

Key Responsibilities

• Build, automate, and maintain AWS infrastructure using Terraform (remote state, modules, pipelines).
• Design secure, scalable AWS environments (VPC, EC2, IAM, ALB/NLB, S3, RDS, Lambda, ECS/EKS preferred).
• Create reusable Terraform modules for platform-wide standardization.
• Automate provisioning workflows for Linux and Windows environments.
• Integrate IaC into CI/CD (Jenkins/GitHub Actions/GitLab).
• Manage environment lifecycle: dev → test → stage → prod.
• Implement cost optimization, tagging strategies, and operational guardrails.
• Maintain infrastructure documentation and reusable patterns.
• Troubleshoot cloud deployments, networking, IAM policies, and automation issues.

Required Skills

• Strong hands-on experience with AWS services.
• Solid expertise with Terraform (workspaces, state mgmt, modules, CI/CD integration).
• Understanding of multi-tier architectures, networking, security groups, IAM.
• Familiarity with Linux/Windows system administration.
• Knowledge of scripting (Python/Bash/PowerShell).

Good to Have

• AWS Certified (SA / SysOps / DevOps — not mandatory).
• Experience with container orchestration (ECS/EKS).
• Experience with monitoring tools (CloudWatch, Grafana, Prometheus).

Soft Skills

• Strong analytical and troubleshooting capability.
• Ability to collaborate closely with DevOps/Platform teams.

NOTE: 2nd Technical round has to be taken F2F from Baner Office in Pune.

• 6+ years of experience in Java backend development with expertise in Spring/Spring Boot and RESTful services.
• Solid grasp of Object-Oriented Programming (OOP), system design, and design patterns.
• Proven experience leading a team of engineers or taking ownership of modules/projects.
• Experience with AWS Cloud services (EC2, Lambda, S3, etc.) is a strong advantage.
• Familiarity with Agile/Scrum methodologies and working in cross-functional teams.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and leadership skills.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Job Profile: SEO Specialist

Department: Marketing

Location: Goregaon, Mumbai

Overview:

The SEO specialist is responsible for driving organic and overall traffic and improving search engine

visibility for the brand. The role requires deep expertise in search engine optimisation, a data-driven

approach, and the ability to execute a comprehensive SEO strategy across all digital channels.

Key Responsibilities:

Develop and execute a comprehensive SEO strategy that aligns with the brand's marketing and

business objectives

Conduct keyword research and analysis to inform content creation and optimisation efforts

Optimise website structure, content, and metadata to improve search engine visibility and drive

organic traffic

Monitor and analyse search engine rankings, traffic patterns, and conversion data to inform and refine

SEO efforts

Stay up-to-date on industry trends and best practices, and incorporate them into SEO strategies

Collaborate with the Marketing Manager, content writers, and designers to ensure all digital assets

are optimised for search engines

Communicate the value of SEO to internal stakeholders and educate them on best practices

Measure and report on the success of SEO initiatives and use data to inform future optimisation

efforts

Key Performance Indicators (KPIs):

Organic and overall traffic growth

Search engine rankings for target keywords

Bounce rate and time on site metrics

Conversion rate and lead generation metrics

Return on investment (ROI) of SEO initiatives

Search engine visibility and website performance, as measured by tools such as Google Analytics and

Search Console

Qualifications:

Bachelor's or master s degree in Marketing, Communications, Computer Science, or a related field

3+ years of experience in SEO, with a proven track record of success

Deep expertise in search engine optimisation, including keyword research, on-page optimisation, link

building, and analytics

Experience with website architecture and development and the ability to collaborate with developers

and designers to implement SEO recommendations

Strong analytical skills, with the ability to use data to inform and refine SEO strategies

Excellent project management skills, with the ability to manage multiple projects and deadlines

Marketing - Hiring

Strong written and verbal communication skills, with the ability to educate and communicate the

value of SEO to internal stakeholders

Ability to work independently and as part of a team

Node JS Developer
JD:

• In depth knowledge of Node.js (with framework, probably Sails.js or at least Express.js)

• Thorough understanding of relational databases such as MySQL or similar technologies.

• Complete knowledge on MongoDB database.

• Excellent coding skill in Node.js, JavaScript

• AWS Hosting.

• Knowledge working closely with git.

• Experience with the Express.js framework.

• Proficiency in Linux environment.

• Agile/Scrum development cycle understanding.

• Excellent communication skills and being able to work independently or in a full team.