Python
Amazon Web Services (AWS)š We're Hiring: Python AWS Fullstack Developer at InfoGrowth! š
Join InfoGrowth as a Python AWS Fullstack Developer and be a part of our dynamic team driving innovative cloud-based solutions!
Job Role: Python AWS Fullstack Developer
Location: Bangalore & Pune
Mandatory Skills:
- Proficiency in Python programming.
- Hands-on experience with AWS services and migration.
- Experience in developing cloud-based applications and pipelines.
- Familiarity with DynamoDB, OpenSearch, and Terraform (preferred).
- Solid understanding of front-end technologies: ReactJS, JavaScript, TypeScript, HTML, and CSS.
- Experience with Agile methodologies, Git, CI/CD, and Docker.
- Knowledge of Linux (preferred).
Preferred Skills:
- Understanding of ADAS (Advanced Driver Assistance Systems) and automotive technologies.
- AWS Certification is a plus.
Why Join InfoGrowth?
- Work on cutting-edge technology in a fast-paced environment.
- Collaborate with talented professionals passionate about driving change in the automotive and tech industries.
- Opportunities for professional growth and development through exciting projects.
š Apply Now to elevate your career with InfoGrowth and make a difference in the automotive sector!
Shubham Vishwakarma
Full Stack Developer - Averlon
About InfoGrowth private Limited
About
Company social profiles
Similar jobs
PythonWe are looking for a highly skilled and experienced Senior AIOps / MLOpsĀ Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.
The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.
Required Experience
- 6 ā 10 Years of overall IT experience
- Strong experience in AIOps / MLOps / DevOps engineering
- Hands-on enterprise experience in Azure Cloud platform engineering
Key Responsibilities
AIOps / MLOps
- Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
- Ensure AI platform reliability, governance, security, and model performance optimization.
- Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
- Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
- Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
- Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
- Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
- Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts
Preferred Skills
- Python, MLflow, Model Registry, Experiment Tracking
- Azure DevOps & Azure Cloud
- Azure Machine Learning
- LLMOps / Generative AI operationalization
- AI model deployment and lifecycle management
- AI Gateway and Model Serving architectures
- Azure OpenAI & Azure AI Foundry
- MCP Server implementation and configuration Ā
- CI/CD Automation & AKS
Soft Skills
- Strong communication and stakeholder management
- Good troubleshooting and problem-solving skills
- Ability to work independently and drive ownership
- Strong collaboration and documentation skills
Kubernetes
DockerAmazon Web Services (AWS)- Responsible for building, managing, and maintaining deployment pipelines and developing self-service tooling formanaging Git, Linux, Kubernetes, Docker, CI/CD & Pipelining etc in cloud infrastructure
- Responsible for building and managing DevOps agile tool chain with
- Responsible for working as an integrator between developer teams and various cloud infrastructures.
Section 2
- Responsibilities include helping the development team with best practices, provisioning monitoring, troubleshooting, optimizing and tuning, automating and improving deployment and release processes.
Section 3
- Responsible for maintaining application security with perioding tracking and upgrading package dependencies in coordination with respective developer teams .
- Responsible for packaging and containerization of deploy units and strategizing it in coordination with developer team
Section 4
- Setting up tools and required infrastructure. Defining and setting development, test, release, update, and support processes for DevOps operation
- Responsible for documentation of the process.
- Responsible for leading projects with end to end execution
Qualification: Bachelors of Engineering /MCA Preferably with AWS Cloud certification
Ideal Candidate -
- is experienced between 2-4 years with AWS certification and DevOps
experience.
- age less than 30 years, self-motivated and enthusiastic.
- is interested in building a sustainable DevOps platform with maximum
automation
- is interested in learning and being challenged on day to day basis.
- who can take ownership of the tasks and is willing to take the necessary
action to get it done.
- who can solve complex problems.
- who is honest with their quality of work and is comfortable with taking
ownership of their success and failure, Both
Amazon Web Services (AWS)KubernetesChallenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients
Amazon Web Services (AWS)Dockerā Auditing, monitoring and improving existing infrastructure components of highly available and scaled
product on cloud with Ubuntu servers
ā Running daily maintenance tasks and improving it with possible automation
ā Deploying new components, server and other infrastructure when needed
ā Coming up with innovative ways to automate tasks
ā Working with telecom carriers and getting rates and destinations and update regularly on the system
ā Working with Docker containers, Tinc, Iptables, HAproxy, ETCD, mySQL, mongoDB, CouchDB and
ansible
You would be bringing below skills to our team :
ā Expertise with Docker containers and its networking, Tinc, Iptables, HAproxy, ETCD, and ansible
ā Extensive experience with setup, maintenance, monitoring, backup and replication with mySQL
ā Expertise with the Ubuntu servers and its OS and server level networking
ā Good experience of working with mongoDB, CouchDB
ā Good with the networking tools
ā Open Source server monitoring solutions like nagios, Zabbix etc.
ā Worked on highly scaled, distributed applications running on the Datacenter Ubuntu VPS instances
ā Innovative and out of box thinker with multitasking skills working in a small team efficiently
ā Working Knowledge of any scripting languages like bash, node or python
ā It would be an advantage if have experience with the calling platforms like FreeSWITCH, OpenSIPS or
Kamailio and have basic knowledge of SIP protocol
DockerKubernetesAmazon Web Services (AWS)We are looking for a DevOps Lead to join our team.
Responsibilities
ā¢ A technology Professional who understands software development and can solve IT Operational and deployment challenges using software engineering tools and processes. This position requires an understanding of both Software development (Dev) and deployment
Operations (Ops)
ā¢ Identity manual processes and automate them using various DevOps automation tools
ā¢ Maintain the organizationās growing cloud infrastructure
ā¢ Monitor and maintain DevOps environment stability
ā¢ Collaborate with distributed Agile teams to define technical requirements and resolve technical design issues
ā¢ Orchestrating builds and test setups using Docker and Kubernetes.
ā¢ Participate in designing and building Kubernetes, Cloud, and on-prem environments for maximum performance, reliability and scalability
ā¢ Share business and technical learnings with the broader engineering and product organization, while adapting approaches for different audiences
Requirements
ā¢ Candidates working for this position should possess at least 5 years of work experience as a DevOps Engineer.
ā¢ Candidate should have experience in ELK stack, Kubernetes, and Docker.
ā¢ Solid experience in the AWS environment.
ā¢ Should have experience in monitoring tools like DataDog or Newrelic.
ā¢ Minimum of 5 years experience with code repository management, code merge and quality checks, continuous integration, and automated deployment & management using tools like Jenkins, SVN, Git, Sonar, and Selenium.
ā¢ Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.
ā¢ Candidates must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
ā¢ The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, PostgreSQL, and Git.
ā¢ Candidates should demonstrate knowledge in handling distributed data systems.
Examples: Elastisearch, Cassandra, Hadoop, and others.
ā¢ Should have experience in GitLab- CIRoles and Responsibilities
-(1).png&w=256&q=75){kind=logo}
DockerKubernetesAmazon Web Services (AWS)About Us
At Digilyticsā¢, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clientsā business.
Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilyticsā¢ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilyticsā¢ leadership is focused on building a values-first firm that will stand the test of time.
We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.
The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.
Website: http://www.digilytics.ai">www.digilytics.ai
- Know about our product
- https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
- https://www.digilytics.ai/RevUP/">Digilytics RelUP
- What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
- Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z
Ā
Ā Responsibilities
- Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
- Hands-on experience on Kubernetes/Docker/helm.
- Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
- Linux ā Must have basic knowledge- User creation/deletion, ACL, LVM etc.
- CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
- Experience with SharePoint and O365 administration
- Azure/Kubernetes certification will be preferred.
- Microsoft Partnership experience is good to have.Ā
- Excellent understanding of required technologies
- Good interpersonal skills and the ability to communicate ideas clearly at all levels
- Ability to work in unfamiliar business areas and to use your skills to create solutions
- Ability to both work in and lead a team and to deliver and accept peer review
- Flexible approach to working environment and hours to meet the needs of the business and clients
Ā
Must Haves:
- Hands-on experience on Kubernetes/Docker/helm.
- Experience on Azure/Aws or any other cloud provider.
- Linux & CI/CD tools knowledge.
Ā
Experience & Education:
- A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
- Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
- Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services
- A bachelor's degree, or equivalent, in Software Engineering and Computer Science
Ā
Amazon Web Services (AWS)Kubernetes
Git- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.Ā
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
Amazon Web Services (AWS)
JenkinsRequirements
- Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.
- Communicate, collaborate and work effectively across distributed teams in a global environment
- Optimize performance and solve issues across the entire stack: hardware, software, application, and network.
- Experienced in building infrastructure with terraform / cloudformation or equivalent.
- Experience with ansible or equivalent is beneficial
- Ability to use a wide variety of Open Source Tools
- ExperienceĀ with AWS is a must.
- Minimum 5 years of running services in a large scale environment.
- Expert level understanding of Linux servers, specifically RHEL/CentOS.
- Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
- Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
- Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.
Look forward to
- Working with a world-class team.
- Fun & work at the same place with an amazing work culture and flexible timings.
- Get ready to transform yourself into a health junkie
Join HealthifyMe and make history!
Python
Ruby
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon