system Administrator (Linux)

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Organizational development

• Create an Organization structure and define the OKRs for

• departments/roles Design and implement the policy and process

• Identify the skills gaps to develop and retain the talent

• Build the individual career path and emerging leaders

• Design the framework for succession planning

Performance Management

• Leading the performance management system across the company to achieve

• the goals of department and Company

• Design the process for consistent periodic review and feedback

• 360 degree analysis system

• Lead the yearly process of employee compensation benefits

HR Operations

• Oversee the operational activities of employee life cycle

• Handle Employee Grievance

• Strategies to retain the potential candidate

Employee Engagement

• Design and create the employee inclusion programs

• Culture and Diversity building

Reports & Dashboard

• Periodic dashboard department and company wide

• Reports and Data analysis

The Client is the world’s largest media investment company. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channel We are currently looking for a Manager Analyst – Analytics to join us. In this role, you will work on

various projects for the in-house team across data management, reporting, and analytics.

Responsibility:

•       Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics

•       Develop data extraction and manipulation code based on business rules

•       Design and construct data store and procedures for their maintenance  Develop and maintain strong relationships with stakeholders  Write high-quality code as per prescribed standards.

•       Participate in internal projects as required

Requirements:

•       2-5 years for strong experience in working with SQL, Python, ETL development.

•       Strong Experience in writing complex SQLs

•       Good Communication skills

•       Good experience of working with any BI tool like Tableau, Power BI.

•       Familiar with various cloud technologies and their offerings within the data specialization and Data Warehousing.

•       Snowflake, AWS are good to have.

Minimum qualifications:

•       B. Tech./MCA or equivalent preferred

Excellent 2 years Hand on experience on Big data, ETL Development, Data Processing.  

Required skillset
Experience in backend and frontend tech stack and deployment is mandatory.
Excellent programming skills in Golang/Python/Java, JS/Dart/Swift and HTML/CSS.
Proficient in Web architecture and cloud integration concepts.
Experience with NoSQL database is preferred.
Good to have hands-on experience with GCP/AWS/Azure.
Qualification: Bachelors/Masters Computer Science or related domain.
Knowledge of DevOps tools and CI/CD practices are strong additions

Responsibilities
Help to architect Concepts/MVP with minimal supervision.
Work on the full spectrum of technology stack - backend & frontend.
Explore the feasibility of running video analytics on Edge (App/Browser)
Work with the Analytics team for creating various visualization options

• Design and Build sophisticated and highly scalable apps using flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android and IOS.
• Translate and Build the designs and Wireframes into high quality responsive UI code.
• Write efficient queries for core Data.
• Explore feasible architectures for implementing new features.
• Resolve any problems existing in the system and suggest and add new features in the complete system.
• Suggest space and time efficient Data Structures.
• Follow the best practices while developing the app and also keeping everything structured and well documented.
• Document the project and code efficiently.
• Manage the code and project on Git in order to keep in sync with other team members and managers.
• Interact with the Product Manager to help understand end-user feedback.
• Ensure security guidelines are always followed while developing the app.
• Suggest new features and/or enhancements.
• Maintain software through product lifecycle including design, development, verification and bug fixes.
• Resolve all the bugs in a timely manner.
• Execute app verification protocol.
• Follow company policies and quality procedures to ensure quality product deliverables.
• If you have experience with Bluetooth Low Energy (BLE) based devices and related applications please highlight the same in your resume

Responsibilities:

• Executing implementation of strategic and operational SEO Strategies- On-Page, Off-Page & Technical SEO
• Performing an in-depth page analysis using various SEO tools & extension- Search Console, Analytics, SEMrush, Ahrefs, etc
• Performing technical and On-Page SEO analysis to identify and execute website optimization strategies to boost organic traffic and conversions
• Executing and monitoring data based on SEO targets and timelines- KPIs and OKRs in alignment with business strategy
• Coordinating with internal and external stakeholders across the organization to get things done on time
• Staying on top of SEO news, Google Updates and so on and implement them in relevant day-to-day activities
• Creating optimized content for product pages and blogs in lines with SEO best practices that can break the clutter online 
• Doing competitive analysis to fill in the SEO and content gaps for various product and landing pages
• Find out-of-the-box topics based on competitor analysis, trending topics, and various SEO tools

Requirements:

• 0-1 years of experience
• Basic analytical mindset for understanding SEO KPIs and handling Data
• Excellent in English verbal and written communication skills
• Comfortable in writing and editing content
• Comfortable with technical analysis and adept at learning things quickly
• Knowledge of Excel and Google Sheets- formulas, formatting, etc
• Adept with basic formatting, eye for detail, thorough research and analysis
• Proactive, responsible, hard-working, and diligent
• Ability to meet deadlines

Skills Required: Analytical Skills, Strategic Thinking, MS Office, Fluent in English, Writing Skills

If you want to learn and implement in-depth organic marketing, churn out SEO-friendly pages, have an eye for detail, and if data analysis does NOT scare you off- we'd love to meet you!