Graphic Designer

Title - Engineering Manager

Location – Remote

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people.

We believe that every role has meaning, and every Egnyter should

be respected. With 17,000 customers worldwide and growing, you

can make an impact by protecting their valuable data. When joining

Egnyte, you’re not just landing a new career, you become part of a

team of Egnyters that are doers, thinkers, and collaborators who

embrace and live by our values:

• Invested Relationships
• Fiscal Prudence
• Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content

security and governance that enables organizations to

better protect and collaborate on their most valuable

content. Established in 2008, Egnyte has democratized

cloud content security for more than 17,000 organizations,

helping customers improve data security, maintain

compliance, prevent and detect ransomware threats, and

boost employee productivity on any app, any cloud,

anywhere. For more information, visit www.egnyte.com

WHAT YOU’LL DO & QUALIFICATIONS:

Experience:

• 12+ years of software engineering experience, with 4+ years managing backend or infrastructure teams (including managing senior and staff engineers).
• Proven track record operating high-scale production systems— petabyte-scale, with tens of thousands of requests per second or more.
• Deep, hands-on expertise with object stores or distributed storage systems, including consistent hashing, quorum and replication protocols, erasure coding, storage tiering, compaction, garbage collection, and the trade-offs in an S3-style API.
• Strong systems fundamentals: storage, networking, OS, concurrency, and performance engineering.

Technical skills:

• Strong coding ability in Java and Python.
• Production experience with the surrounding stack: nginx,
• HAProxy, Redis, MySQL. Practical experience running
• workloads on GCP and Azure, and a working knowledge of
• AWS S3 (API semantics, consistency model, operational
• behavior).
• Experience with observability, capacity planning, and cost
• engineering at scale.

Leadership:

• A player-coach mindset — leading through clarity of technical
• vision, strong hiring, and high standards, not through distance
• from the work.
• Track record of building durable, inclusive teams and
• developing engineers into tech leads and managers.
• Excellent written and verbal communication.
• Calm and effective during incidents; thoughtful and structured
• afterward.

Nice to Have

• Experience building or operating an S3-compatible service, or
• contributions to an open-source storage system (Ceph, MinIO,
• SeaweedFS, HDFS, Cassandra, etc.).
• Experience with content-addressable storage, deduplication,
• encryption-at-rest, and compliance regimes (SOC 2, HIPAA,
• FedRAMP, GDPR).
• Experience running multi-region, multi-cloud storage
• footprints and managing petabyte-scale migrations

BENEFITS:

• Competitive salaries
• Medical insurance and healthcare benefits for you and your
• family
• Fully paid premiums for Term life insurance
• Personal Accident Insurance
• Flexible hours and PTO
• Gym and fitness reimbursement
• Childcare reimbursement

Equal Employment Opportunity

At Egnyte, we celebrate our unique differences and thrive on our

diversity for our employees, our products, our customers, our

investors, and our communities. Our global Egnyte Employee

Communities (EECs) support representation and inclusion across our

diverse workplace. Egnyters are encouraged to bring their whole

selves to work and to appreciate the many differences that

collectively make Egnyte a higher-performing company and a great

place to be.

Any employees with questions or concerns about equal employment

opportunities in the workplace are encouraged to bring these issues

to the attention of hr at egnyte.com. Egnyte will not allow any form of

retaliation against employees who raise issues of equal employment

opportunity. If employees feel they have been subjected to any such

retaliation, they should contact hr at egnyte.com. To ensure the

workplace is free of artificial barriers, violation of this policy

including any improper retaliatory conduct will lead to discipline, up

to and including discharge. All employees must cooperate with all

investigations conducted pursuant to this policy.

About the job

Job Title: MLOps Engineer Intern

Company: Aaizel International Technologies Pvt. Ltd.

Location: Gurugram, Haryana (On-site)

Duration: 6 Months (PPO based on performance)

About Aaizeltech

Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, cybersecurity solutions, and intelligent embedded systems. We are looking for a passionate MLOps Engineer Intern eager to work on real-world machine learning infrastructure, cloud platforms, and deployment pipelines while collaborating with experienced AI/ML engineers.

Role Overview

As an MLOps Engineer Intern, you will assist in building, deploying, and maintaining machine learning pipelines and cloud infrastructure. You will gain hands-on experience in containerization, Kubernetes, CI/CD automation, model deployment, monitoring, and cloud-native technologies while contributing to production-ready AI solutions.

Key ResponsibilitiesMLOps

• Assist in building and maintaining end-to-end ML pipelines using tools such as Airflow, Kubeflow Pipelines, or Metaflow.
• Collaborate with AI/ML engineers to deploy machine learning models using , TensorFlow and Airflow orchestration.
• Containerize ML applications using Docker with Flask, FastAPI, or Django APIs.
• Support dataset versioning and experiment tracking using MLflow and DVC.
• Assist in maintaining model registries and ensuring reproducible ML workflows.
• Monitor deployed models for performance, data drift, and infrastructure health using tools such as Evidently AI, Prometheus, and Grafana.
• Support automated retraining workflows and model deployment processes.

Cloud & DevOps

• Assist in deploying and managing cloud infrastructure on AWS, GCP, or Azure.
• Support CI/CD pipeline development using GitHub Actions, GitLab CI, or Jenkins.
• Learn and contribute to Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Work with Docker and Kubernetes for application deployment and orchestration.
• Monitor cloud resources and optimize infrastructure performance.
• Follow DevOps and DevSecOps best practices for secure deployments.

Required Skills

• Good understanding of Linux, shell scripting, and networking fundamentals.
• Basic knowledge of Python programming.
• Familiarity with Docker and Kubernetes.
• Understanding of Git and CI/CD concepts.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Basic understanding of machine learning workflows and model deployment.
• Familiarity with REST APIs using Flask, FastAPI, or Django.
• Strong analytical, debugging, and problem-solving skills.
• Good communication and willingness to learn new technologies.

Preferred Skills

• Exposure to MLflow, DVC, Airflow, Kubeflow, or Metaflow, apache kafka.
• Familiarity with Terraform or other Infrastructure as Code tools.
• Knowledge of monitoring tools such as Prometheus or Grafana.
• Understanding of model serving frameworks like BentoML, TorchServe, or TensorFlow Serving.
• Knowledge of DevSecOps tools like SonarQube is an advantage.

Eligibility

• Final-year B.Tech/B.E./M.Tech/MCA students or recent graduates in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or related fields.
• Strong interest in MLOps, Cloud Computing, DevOps, and AI infrastructure.
• Prior academic projects, internships, or open-source contributions in ML or cloud technologies are a plus.

What You'll Gain

• Hands-on experience with production-grade MLOps and cloud infrastructure.
• Opportunity to work on real-world AI/ML products and scalable deployments.
• Mentorship from experienced AI/ML and DevOps professionals.
• Exposure to modern MLOps tools, Kubernetes, cloud platforms, and CI/CD workflows.
• Potential Pre-Placement Offer (PPO) based on performance.

Who You'll Work With

- AI/ML Engineers, Backend Developers, Frontend Developers, QA Team

-Product Owners, Project Managers, and external Government or Enterprise Clients

1.      Core Responsibilities

·        Leading solutions for data engineering

·        Maintain the integrity of both the design and the data that is held within the architecture

·        Champion and educate people in the development and use of data engineering best practises

·        Support the Head of Data Engineering and lead by example

·        Contribute to the development of database management services and associated processes relating to the delivery of data solutions

·        Provide requirements analysis, documentation, development, delivery and maintenance of data platforms.

·        Develop database requirements in a structured and logical manner ensuring delivery is aligned with business prioritisation and best practise

·        Design and deliver performance enhancements, application migration processes and version upgrades across a pipeline of BI environments.

·        Provide support for the scoping and delivery of BI capability to internal users.

·        Identify risks and issues and escalate to Line / Project manager. 

·        Work with clients, existing asset owners & their service providers and non BI development staff to clarify and deliver work stream objectives in timescales that deliver to the overall project expectations.

·        Develop and maintain documentation in support of all BI processes.

·        Proactively identify cost-justifiable improvements to data manipulation processes.

·        Research and promote relevant BI tools and processes that contribute to increased efficiency and capability in support of corporate objectives.

·        Promote a culture that embraces change, continuous improvement and a ‘can do’ attitude.

·        Demonstrate enthusiasm and self-motivation at all times.

·        Establish effective working relationships with other internal teams to drive improved efficiency and effective processes.

·        Be a champion for high quality data and use of strategic data repositories, associated relational model, and Data Warehouse for optimising the delivery of accurate, consistent and reliable business intelligence

·        Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

·        Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.

·        Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

·        5 years Data Engineering / ETL development experience is essential

·        5 years data design experience in an MI / BI / Analytics environment (Kimball, lake house, data lake) is essential

·        5 years experience of working in a structured Change Management project lifecycle is essential

·        Experience of working in a financial services environment is desirable

·        Experience of dealing with senior management within a large organisation is desirable

·        5 years experience of developing in conjunction with large complex projects and programmes is desirable

·        Experience mentoring other members of the team on best practise and internal standards is essential

·        Experience with cloud data platforms desirable (Microsoft Azure) is desirable

3.      Knowledge Requirements

·        A strong knowledge of business intelligence solutions and an ability to translate this into data solutions for the broader business is essential

·        Strong demonstrable knowledge of data warehouse methodologies

·        Robust understanding of high level business processes is essential

·        Understanding of data migration, including reconciliation, data cleanse and cutover is desirable

• experience in international sales or exhibition sales or both
• Delivering independent research to identify potential sponsors
• Developing and maintaining a database of existing and potential sponsors
• Managing the entire sales cycle, from prospecting through to close
• Performing key account management
• Attending events to ensure smooth running and improve customer service through face-to-face interaction

Design test plans, write test cases, review functional requirement documentation, and present test strategies for team review

• Conduct integration, regression, ad-hoc, and edge-case testing as part of release cycles
• Analyze complicated software system and design a strategy to test this system
• Understand and represent customer needs in product feedback discussions
• Participate in release management and post deployment testing
• Work closely with developer team to ensure proper test coverage is done
• Documentation and Release cycle

Job Profile Requirement : 

Experience of testing web applications, mobile applications.

• Knowledge of Responsive Testing
• Working knowledge of functional, GUI, Performance and Regression testing
• Strong knowledge of QA procedures, principles, and tools.
• Strong verbal and written (technical) communication skills to explain bugs and other issues identified and produce bug reports, documentation and feedback to both product owners and software developers.
• Ability to work in an environment of perfection and compliance to web standards and high design quality benchmarks.
• Strong organisational and time management skills - know what you need to do, and DO IT!

We are seeking an enthusiastic and curious Salesforce Technical Architect to join our team to design and develop solutions on the Salesforce.com platform using Apex and Visualforce programming languages. In this role, you’ll work in a highly collaborative environment where communication with the Marketing, Sales, Underwriting, and Backend Engineering teams is key to your day-to-day success.

As a Specialist Leader in our Salesforce practice, you will:

• Serve as an integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs
• Organize and deliver services on a cross-section of projects
• Maintain your technical knowledge within the industry and leverage this subject matter knowledge in client engagements
• Contribute to the development and cultivation of business and vendor relationships
• Serve as a “Subject Matter Expert”, adding interpretive value to data presented or experienced insight into a functional process or issue
• Display leadership and business judgment by anticipating client and project needs and developing alternative solutions
• Identify opportunities for other Rialtes service offerings that can address client needs
• Manage solutions, delegate resources, and help ensure quality assurance principles are met across projects and deliverables
• Supervise the work of team members and support delivery team staff
• Provide input and actively participate in recruitment and retention activities

Qualifications Required:

• 6+ years in an SFDC Technical Architect role
• Pre-sales, proposal, and RFP experience
• At least 4 full life-cycle Salesforce implementations with strong expertise in 2 of the following modules: Sales Cloud, Service Cloud, Marketing Cloud, Force.com
• Strong communication skills, both written and oral.
• 5+ years of hands-on experience on Sales/Service Cloud/Community or Force.com platform and integrations
• 4+ Salesforce Certifications in development & Administration.