Python Developer at Maxify Digital Pvt Ltd · Mumbai · 6 - 8 years · ₹5L - ₹18L / yr · Profitable · Posted 3 Jul 2023

- Python knowledge: object-oriented programming: inheritance, abstract classes, dataclass, dependency injection, design patterns: comand-query, repository, adapter, hexagonal architecture, swagger/Open API, flask, connexion
- Experience on AWS services: lambda, ecs, sqs, s3, dynamodb, auroradb
- Experience with following libraries boto3, behave, pytest, moto, localstack, docker
- Basic knowledge about terraform, gitlab ci
- Experience with SQL DB

About Maxify Digital Pvt Ltd
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Job Description – DevOps + Python
Job Title: DevOps + Python Developer
Experience: 4–10 Years
Location: Bangalore / Hyderabad
Notice Period: Immediate to 15 Days
Mandatory Skills
- Python
- Kubernetes
- Containerization
- DevOps
- Cloud Exposure – Any Cloud platform (AWS / Azure / GCP)
Job Description
We are looking for experienced DevOps + Python professionals with strong hands-on experience in Python development and DevOps practices.
The candidate should have practical experience with Kubernetes and containerization, along with exposure to cloud platforms and DevOps processes.
Key Responsibilities
- Develop and maintain applications/scripts using Python.
- Work with Kubernetes and containerized environments.
- Support DevOps processes and automation.
- Work with cloud platforms and cloud-based environments.
- Collaborate with development and infrastructure teams.
- Troubleshoot and resolve deployment and environment-related issues.
Job Summary
We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.
Key Responsibilities
- Monitor application and infrastructure performance to ensure high availability and reliability.
- Manage production incidents, troubleshooting, root cause analysis, and resolution.
- Implement and maintain CI/CD pipelines for automated deployments.
- Manage cloud infrastructure on AWS, Azure, or GCP.
- Automate repetitive operational tasks using Python, Shell, or Bash scripting.
- Work with Docker, Kubernetes, and container orchestration technologies.
- Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
- Manage infrastructure as code using Terraform or Ansible.
- Define and monitor SLIs, SLOs, and SLAs.
- Collaborate with development, infrastructure, and support teams to improve system reliability.
- Participate in on-call support and disaster recovery activities.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps and Production Support
- Linux/Unix Administration
- Cloud Platforms: AWS, Azure, or GCP
- CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
- Scripting: Python, Shell, or Bash
- Docker and Kubernetes
- Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
- Incident Management and Root Cause Analysis
Job Description:
About the Role
Euphoric Thought Technologies is looking for a skilled Python Developer with Azure experience to join our growing engineering team. The ideal candidate should have strong hands-on experience in Python development, cloud-native application development on Microsoft Azure, REST APIs, and modern software engineering practices. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable applications for enterprise clients.
Key Responsibilities
- Design, develop, test, and maintain Python-based applications and microservices.
- Build and integrate RESTful APIs and backend services.
- Develop and deploy applications using Microsoft Azure cloud services.
- Implement scalable, secure, and high-performance cloud solutions.
- Work with Azure App Services, Azure Functions, Azure Storage, Azure SQL, and Azure Key Vault.
- Collaborate with frontend developers, DevOps engineers, QA teams, and business stakeholders.
- Write clean, reusable, and well-documented code following coding standards.
- Optimize application performance and troubleshoot production issues.
- Participate in code reviews and contribute to technical discussions.
- Support CI/CD implementation and deployment automation.
Required Skills
- 3–5 years of hands-on experience in Python development.
- Strong knowledge of Python frameworks such as FastAPI, Flask, or Django.
- Experience with Microsoft Azure cloud services.
- Good understanding of REST APIs and microservices architecture.
- Experience with Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, and Azure Key Vault.
- Good knowledge of SQL databases such as SQL Server or PostgreSQL.
- Familiarity with Git version control.
- Experience with Docker and containerization.
- Understanding of CI/CD pipelines using Azure DevOps or GitHub Actions.
- Knowledge of software design principles and object-oriented programming.
- Strong debugging, analytical, and problem-solving skills.
Preferred Skills
- Experience with Kubernetes (AKS).
- Exposure to messaging services such as Azure Service Bus or Event Hub.
- Knowledge of Redis or caching mechanisms.
- Experience with monitoring tools such as Azure Monitor or Application Insights.
- Understanding of Agile/Scrum development methodologies.
Educational Qualification
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Cloud Engineers – 2nd Shift – 4+ Years Experience
Required Qualifications:
- Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
- Proficiency in IaC tools such as Terraform and/or CloudFormation.
- Solid scripting skills in Python, Bash, or equivalent for automation tasks.
- Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
- Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
- Strong troubleshooting mindset and experience resolving production-level issues.
- Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.
Preferred Qualifications:
- AWS certifications (e.g., SysOps Administrator).
- Experience with containerization (Docker, Kubernetes/EKS/ECS).
- Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
- CI/CD pipeline, infra pipelines.
- AWS services like compute, network, storage, security.
- Migration experience like Discovery/Assessments, TA, Infra Design.
- Linux troubleshooting
- Hands-on AWS
- Production/Application Support
- Bash/Shell/Python
- Monitoring/log analysis
- Incident resolution
- Application deployment/support
- Basic networking and database knowledge
- Production/batch support exposure
- Willingness for rotational weekend/critical production support
Strong Data Engineer (AWS) Profile
2
Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.
3
Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.
4
Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.
5
Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.
6
Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.
7
Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.
8
Mandatory (Education) – B.Tech / B.E./ M.Tech
We are seeking talented software developers who are passionate about coding and building & scaling
products. If you love taking on new challenges and have a problem solving mindset to solve problems through
code, you will be a perfect fit for our rockstar engineering team.
Roles and Responsibilities:
● Design and develop backend architectures to support robust, scalable, and secure web applications and
systems with a focus on backend development using Django.
● Design, implement and maintain high quality RESTful APIs to support seamless communication between
frontend, backend and other services.
● Design, implement, and maintain database schemas. Ensure the integrity, performance, and security of
data.
● Ensure the scalability and reliability of our backend infrastructure on AWS. Ensure reliable management of
infrastructure on cloud aiming for 0 downtime of systems.
● Write clean, maintainable, and efficient code, while adhering to best practices and industry standards.
Develop and maintain documentation for our backend systems, APIs, and data models.
● Conduct high quality code reviews and provide feedback to other team members to ensure best practices
are adhered to.
● Take ownership of the development, testing, and deployment of web applications. Break down high-level
business problems into smaller chunks and build systems.
● Work closely with the frontend development team, product managers, and designers to plan new features
and optimize existing ones.
● Constantly aim to improve performance and optimize systems by identifying bottlenecks and resolving
them for increased efficiency.
● Stay up-to-date with the latest technologies such as LLMs, and implement them as and when required
Skills and Qualifications:
● Bachelor's degree in Computer Science, Computer Engineering or a related field.
● 4+ years of experience in full-stack web development, with a focus on backend development.
● Strong proficiency in Python and Django, including experience with Django Rest Framework.
● Experience working with SQL/PostgreSQL databases, including schema design, querying, and
optimization.
● Proficiency in AWS services such as EC2, RDS, S3, and Lambda.
● Familiarity of integrations with third party services and open source frameworks
● Strong understanding of data structures, algorithms, and software design patterns.
● Experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.
● Familiarity with LLM frameworks such as Langchain, OpenAI, Anthropic, LLaMa is a plus.
● Strong problem-solving skills and ability to work in a fast-paced environment.
● Excellent communication and collaboration skills.












