Product Analyst

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. 

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience
• Developing ideas for new programs, products, or features by monitoring industry developments and trends
• Recording data and reporting it to proper parties, such as clients or

  • leadership

• Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members
• Taking lead on projects, as

Full stack developer with the following skills:

• Fluent in T-SQL [Store Procedure, Triggers, Cursors]
• Basic Knowledge of ETL tools like SSIS or other related
• Able to perform front end development (HTML, JavaScript/TypeScript, Angular)
• Able to write C# code using .net core or .net framework
• Knowledge of Object-oriented programming
• Familiar with API development using .net core
• Knowledge of entity framework

About us:

Strata is a commercial real estate investment platform that offers investors the opportunity to invest in pre-leased commercial assets such as offices, warehouses, and retail spaces across India.

We are one of the fastest-growing PropTech platforms in India and are backed by Elevation Capital, Mayfield, Kotak Investment Advisors, Gruhas (a venture by Nikhil Kamath of Zerodha) and DLF Family Office.

Our headquarter is in Bangalore, India.

We are a small yet close-knit team of 35+ people.

About you:

You have a knack for product and strongly equipped with engineering skills to make it a reality. You don’t jump into implementation unless you have clearly understood the problem/requirements and have a written design. You don’t hesitate asking questions and giving critical reviews while respecting others’ opinions. You are a fearless engineer, and not afraid to fail, not on production though ;) You have a strong sense of ownership. You have a startup experience. You don’t feel annoyed if required to work on off days in case of production incidents (no development).

Your responsibilities:

You will primarily work on the backend maintaining the existing platform and writing new enhancements and features. Apart from your own features, as a senior member of the team you will be expected to be actively involved in overall design discussions and peer code reviews. You will factor in extensibility, maintainability, scalability and security in designs and code. You will ensure that best engineering practices are followed. You will support your team members when they are facing challenges, and mentor them when appropriate. You will strive for overall engineering excellence.

Must-have Skills:

• 4-8 years of total experience
• 2+ years of experience in Django and DRF. You must be pro at it. The team will be looking up to you for making most out of DRF.
• Designing and building  scalable web applications
• Good understanding of REST principles
• SQL database design and queries
• Working knowledge of AWS

Good-To-Have Skills:

• Angular or any other JavaScript frontend framework
• Designing microservices
• DevOps experience

FAQ's.

1. Your technology ingredients?

Programming languages:
Our backend is written in Python using Django framework. And the frontend is in AngularJS. Currently there is no mobile app.

Infrastructure:
We are an AWS shop and use their services for most needs, Docker for containerization and ECS as orchestrator, RDS as database, S3 for storage and SQS as messaging backend.

Other tools:
BitBucket for Git and CI/CD pipeline, Trello for project management; and Google Meets and Slack for communication.

2. Your hiring plan?

Currently the engineering team comprises of 3 engineers, and we plan to grow it to 8 by the end of 2021.

3. Your Interview process?

We will try to finish the process within two weeks. In case we can’t go ahead with  your candidature, we will clearly and immediately let you know. But in case of competing applications, we may request you to wait for a week or two.

1. 15 minutes introductory call to discuss requirements and expectations
2. 30 minutes online coding assignment on a screen sharing session
3. 1 hour technical interview covering problem solving, code review and aptitude
4. 15 minutes call with co-founder for final discussion

In case of inability to come to a conclusion from either side, we may go for an additional round.

4. Your WFH and WFO policy?

Due to Covid-19 the team is working from home and will continue till March-2022. After that we will work from the Bangalore or Pune office (yet to be finalised). You should be open to relocate to any of the cities.

5. Your funding status?

In March 2020, Strata raised $1.5 million in seed funding; and $6 million in Series-A in July 2021.

Hey 

We are looking for freelance Android Developers for our new startup. 

If you believe you are a developer who can follow all best practices and create quality apps, only then apply for this job. 

We can allow you to work on your desired time frames each week, but we are strict about deadlines. 

We expect you to be good at

- Managing rest services 
- Managing cache and permanent storage

- Preparing pixel perfect UI which is compatible with all screen sizes (designs will be given)

- Daily pushing your code using Git 

- Writing clean and understandable code

All the best!

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• Content writing and updates.
• Influencer marketing and Blogger Outreach.
• Excellent writing and grammatical skills with the ability to write quickly, concisely, and accurately.
• Willingness to work in a dynamic environment and willingness to learn new things and styles.
• Ability to write compelling content on various topics.
• Convince others that your ideas are worth investing time and effort in. This role is at the core of the content marketing team, and others will rely on your work every single day.
• Search Engine Optimisation
• Influencer marketing and Blogger Outreach
• Social Media Marketing