Sr Python Developer

Role & Responsibilities

work with peers in Product, QA, and other Engineering departments;

coach and mentor team members;

cautiously drive adoption of new technologies and processes;

preserve our engineering values of quality, scalability, and maintainability;

“see around corners” — identify blind spots and prioritize work across teams;

work with international teams to ensure successful product development and delivery; and

own the overall architecture and systems engineering for your products.

Job Description :

We are hiring for ASP.NET MVC/Core Developer for our office @ Ahmedabad location.

Hybrid work option.

We are looking candidates from Gujarat only.

Experience Range: 1-3 years

Role and Qualifications:

• Essential: Proficiency in ASP.NET MVC & ASP.NET Core, with a minimum of 1 year of hands-on experience
• Familiarity with .NET framework versions starting from .NET 4.5 and onwards
• Strong grasp of C#, JavaScript, TSQL, HTML, ASP.NET MVC, ASP.NET Core, ASP.NET Web API, and MSSQL
• Excellent verbal and written communication skills
• Even candidates with foundational knowledge are encouraged, including freshers

If you're an ASP.NET developer ready to contribute your skills within a dynamic environment, we're excited to welcome you, regardless of where you're located. Your expertise will be valued as we navigate the latest technologies and celebrate a culture of excellence.

Job Title: Data Engineer

Location: Pune, India

Experience: 5 to 9 years

Job Description:

We are seeking a talented and experienced Data Engineer to join our team in Pune. The ideal candidate will have a strong background in data engineering with expertise in Python, AWS, Spark, and Scala. This role is critical to our data infrastructure, ensuring that our data pipelines are robust, efficient, and scalable.

Required Skills:

• Python: Advanced proficiency with extensive experience in building data pipelines.
• AWS: Hands-on experience with AWS services such as S3, Lambda, Redshift, Glue, and EMR.
• Spark: Proficient in using Apache Spark for large-scale data processing.
• Scala: Working knowledge of Scala for Spark programming.
• Strong understanding of data warehousing concepts and ETL processes.
• Experience with SQL and relational databases.
• Familiarity with data governance and security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

If Interested kindly share your updated resume on 82008 31681

• 3-8+ years of experience programming in a backend language (Java / Python), with a good understanding of troubleshooting errors. 
• 5+ years of experience in Confluent Kafka / 3+ years of experience in Confluent Kafka 

• Cloud Kafka, Control Central, Rest Proxy, HA Proxy, Confluent Kafka Connect, Confluent Kafka Security features 

• Experience with Django/Flask Framworks
• Worked on web app and mobile app
• Understanding of DevOps tools - Jekins/Kubernetes/Azure/AWS/Docker will be a plus

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

• You write high quality, maintainable, and robust code, often in Java or C++/C/Python/ROR/C#
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.