Cloud Engineer

Cloud Engineer(on Python)

Job Summary :

We are seeking a skilled Python Developer with cloud and ELK stack experience to join our engineering team. You will be responsible for building scalable backend services in Python, deploying applications on cloud platforms, and implementing monitoring and observability using the ELK Stack (Elasticsearch, Logstash, Kibana). This role is ideal for someone who is passionate about clean code, automation, and cloud-native architectures.

About iSteer Technologies :

iSteer’s mantra of

“taking the quantum leap ” with “smarter technology” solutions, is producing what customers wanted in a fraction of time, with fewer people, less overall cost and getting the product to market when it is still relevant to target customers. We truly believe “technology must not only support our customer’s business, but it must advance it at a faster pace”. At iSteer (ISO 27001 : 2013 certified), we enable our customers, achieve a competitive advantage with technology solutions and products that are derived from decades of cross-industry experience and technology expertise. iSteer helps transform the business of several global enterprises with their technology needs across industries.

We provide

Digital Integration, Data Engineering and connect enterprises by providing Robotic Process Automation, IOT, Cloud, and AI solutions , through our world-class product engineering expertise, our products like AppSteer make it easier to transform businesses digitally. We have exponentially grown our operations across the globe with 250+ employees

at our offices in India, Singapore, United States, Canada and Dubai . Our expansion globally has always been a remarkable difference and delivers key results to our customers. Our renowned partners are Workato Platinum Partner, TIBCO Gold Partner and Dell Boomi. Life at iSteer, where a fine line of young and experienced minds leads into the infinite opportunities in the digital era.

At iSteer, we make sure that talent meets technology in a culture which is driven by knowledge and growth. Being a part of iSteer makes you a stakeholder of achievements which will turn your latent potential into a success story. It is also enabled by excellence into our culture which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities.

Why join us

• Competitive salary + benefits
• We value work-life balance and encourage taking vacations
• Excellent leadership and an outstanding network of individuals
• On-going regular training certifications sponsored by iSteer.
• Know more about us and follow us @ https : / / isteer.com / .

Key Responsibilities :

Design, develop, and maintain scalable Python-based backend services.

Deploy and manage applications on cloud platforms (AWS, Azure, or GCP).

Implement and maintain logging, monitoring, and alerting using the

ELK Stack .

Build RESTful APIs and integrate with internal / external services.

Use Docker and Kubernetes for containerization and orchestration.

Set up and maintain CI / CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI).

Collaborate with cross-functional teams including DevOps, Data Engineering, and QA.

Monitor and troubleshoot cloud-deployed applications and services.

Required Skills and Qualifications :

3+ years of professional experience with Python (Flask, Django, FastAPI, etc.).

Proficient with at least one cloud platform (AWS, Azure, or GCP).

Strong experience with Elasticsearch, Logstash, and Kibana (ELK Stack) for log aggregation and visualization.

Familiarity with Docker and Kubernetes.

Good understanding of CI / CD and DevOps principles.

Experience with RESTful API development and microservices architecture.

Proficiency in Git and collaborative development workflows.

Preferred Qualifications :

Cloud certifications (e.g., AWS Developer Associate, Azure Developer).

Experience with Infrastructure as Code tools (Terraform, CloudFormation).

Knowledge of message queues (e.g., Kafka, RabbitMQ).

Exposure to security best practices in cloud environments.

Experience with other observability tools (e.g., Prometheus, Grafana) is a plus.