

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!

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Position: DevOps Engineer / Senior DevOps Engineer
Experience: 3 to 6 Years
Key Skills: AWS, Terraform, Docker, Kubernetes, DevSecOps pipeline
Job Description:
- AWS Infrastructure: Architect, deploy, and manage AWS services like EC2, S3, RDS, Lambda, SageMaker, API Gateway, and VPC.
- Networking: Proficient in subnetting, endpoints, NACL, security groups, VPC flow logs, and routing.
- API Management: Design and manage secure, scalable APIs using AWS API Gateway.
- CI/CD Pipelines: Build and maintain CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy.
- Automation & IaC: Use Terraform and CloudFormation for automating infrastructure management.
- Containerization & Kubernetes: Expertise in Docker, Kubernetes, and managing containerized deployments.
- Monitoring & Logging: Implement monitoring with AWS CloudWatch, CloudTrail, and other tools.
- Security: Apply AWS security best practices using IAM, KMS, Secrets Manager, and GuardDuty.
- Cost Management: Monitor and optimize AWS usage and costs.
- Collaboration: Partner with development, QA, and operations teams to enhance productivity and system reliability.
Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker.Ā
They should also be able to set-up and manage clusters usingĀ Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIMĀ in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.
- Designing DevOps strategies:Ā Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
- Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
- Managing application configuration and secrets:Ā Ensuring system and infrastructure availability, stability, scalability, and performance
- Automating processes:Ā Overseeing code releases and deployments with an emphasis on continuous integration and delivery
- Collaborating with teams:Ā Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
- Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
- Ensuring security and compliance/DevSecOps:Ā Managing code quality and security policies
- Troubleshooting issues:Ā Investigating issues and responding to customer queries
- Core Skills:Ā Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker.Ā They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIMĀ in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
- Additional Skills:Ā Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.
DESIRED SKILLS AND EXPERIENCE
ļ· Strong analytical and problem-solving skills
ļ· Ability to work independently, learn quickly and be proactive
ļ· 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure
ļ· Experience must include a combination of:
o Experience working with configuration management tools ā Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge ā AWS, VMware vSphere o Good understanding and familiarity with Linux
o Networking knowledge ā Firewalls, VPNs, Load Balancers
o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana
o Git, Jenkins, Jira
As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.
-
Development of automation scripts and pipelines for deployment and monitoring of new production environments.
-
Development of automation scripts for upgrades, hotfixes deployments and maintenance.
-
Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.
-
Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.
-
Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.
-
Write Knowledge articles to document known issues and best practices.
-
Conduct regression tests to validate solutions or workarounds.
-
Work in a globally distributed team.
Ā
What achievements should you have so far?
-
Bachelor's or masterās degree in Computer Science, Information Systems, or equivalent.
-
Experience with containerization, deployment, and operations.
-
Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).
-
Good experience with Linux systems and Shell scripting.
-
Basic cloud experience, preferably oriented on MS Azure.
-
Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).
-
Good Networking skills and experience.
-
Having Terraform or CloudFormation knowledge will be considered a plus.
-
Ability to analyze a task from a system perspective.
-
Excellent problem-solving and troubleshooting skills.
-
Excellent written and verbal communication skills; mastery in English and local language.
-
Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.
The role requires you to design development pipelines from the ground up, Creation of Docker Files, and design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.
Requirements
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloud formation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Must-Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash, shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Nagios or similar), IaC(Terraform, cloud formation).
Searce is a nicheā Cloud Consulting business with futuristic tech DNA. We do new-age tech
to realise the āNextā in the āNowā for our Clients. We specialise in Cloud Data Engineering,
AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We
are one of the top & the fastest growing partners for Google Cloud and AWS globally with
over 2,500 clients successfully moved to cloud.
What we believe?
1. Best practices are overrated
ā Implementing best practices can only make one n āaverageā .
2. Honesty and Transparency
ā We believe in naked truth. We do what we tell and tell what we do.
3. Client Partnership
ā Client - Vendor relationship: No. We partner with clients instead.
ā And our sales team comprises 100% of our clients.
How we work?
Itās all about being Happier first. And rest follows. Searce work culture is defined by
HAPPIER.
1. Humble: Happy people donāt carry ego around. We listen to understand; not to
respond.
2. Adaptable: We are comfortable with uncertainty. And we accept changes well. As
thatās what life's about.
3. Positive: We are super positive about work & life in general. We love to forget and
forgive. We donāt hold grudges. We donāt have time or adequate space for it.
4. Passionate: We are as passionate about the great street-food vendor across the
street as about Teslaās new model and so on. Passion is what drives us to work and
makes us deliver the quality we deliver.
5. Innovative: Innovate or Die. We love to challenge the status quo.
6. Experimental: We encourage curiosity & making mistakes.
7. Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
1. Love for cloud: When was the last time your dinner entailed an act on āHow would
āJerry Seinfeldā pitch Cloud platform & products to this prospectā and your friend did
the āSheldonā version of the same thing.
2. Passion for sales: When was the last time you went at a remote gas station while on
vacation, and ended up helping the gas station owner saasify his 7 gas stations
across other geographies.
3. Compassion for customers: You listen more than you speak. When you do speak,
people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, āIf Elon Musk can
attempt to take humanity to Mars, why canāt we take your business to run on cloud ?
Your bucket of undertakings:
This position will be responsible to consult with clients and propose architectural solutions
to help move & improve infra from on-premise to cloud or help optimize cloud spend from
one public cloud to the other.
1. Be the first one to experiment on new age cloud offerings, help define the best
practise as a thought leader for cloud, automation & Dev-Ops, be a solution
visionary and technology expert across multiple channels.
2. Continually augment skills and learn new tech as the technology and client needs
evolve
3. Use your experience in Google cloud platform, AWS or Microsoft Azure to build
hybrid-cloud solutions for customers.
4. Provide leadership to project teams, and facilitate the definition of project
deliverables around core Cloud based technology and methods.
5. Define tracking mechanisms and ensure IT standards and methodology are met;
deliver quality results.
6. Participate in technical reviews of requirements, designs, code and other artifacts
7. Identify and keep abreast of new technical concepts in google cloud platform
8. Security, Risk and Compliance - Advise customers on best practices around access
management, network setup, regulatory compliance and related areas.
Accomplishment Set
ā Passionate, persuasive, articulate Cloud professional capable of quickly establishing
interest and credibility
ā Good business judgment, a comfortable, open communication style, and a
willingness and ability to work with customers and teams.
ā Strong service attitude and a commitment to quality.
ā Highly organised and efficient.
ā Confident working with others to inspire a high-quality standard.
Education, Experience, etc.
1. Is Education overrated? Yes. We believe so. However there is no way to locate you
otherwise. So unfortunately we might have to look for a Bachelor's or Master's
degree in engineering from a reputed institute or you should be programming from
12. And the latter is better. We will find you faster if you specify the latter in some
manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
2. To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the
new-age cloud tech, highly analytical aptitude and a strong ādesire to deliverā outlives
those fancy degrees!
3. 1 - 5 years of experience with at least 2 - 3 years of hands-on experience in Cloud
Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise
environment.
4. Good analytical, communication, problem solving, and learning skills.
5. Knowledge on programming against cloud platforms such as Google Cloud Platf
- JD: ⢠10+ years of overall industry experience
⢠5+ years of cloud experience
⢠2+ years of architect experience
⢠Varied background preferred between systems and development
o Experience working with applications, not pure infra experience
⢠Azure experience ā strong background using Azure for application migrations
⢠Terraform experience ā should mention automation technologies in job experience
⢠Hands on experience delivering in the cloud
⢠Must have job experience designing solutions for customers
⢠IaaS Cloud architect
workload migrations to AWS and/or Azure
⢠Security architecture considerations experience
⢠CI/CD experience
⢠Proven applications migration track of record.

- Hands onĀ experience in following is a must:Ā Unix, Python and Shell Scripting.
- Hands on experience in creating infrastructure on cloud platformĀ AWSĀ is a must.
- Must have experience in industry standardĀ CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef.
- Must be good at these DevOps tools:
Ā Ā Ā Ā Ā Ā Ā Version Control Tools:Ā Git, CVS
Ā Ā Ā Ā Ā Ā Ā Build Tools:Ā Maven and Gradle
Ā Ā Ā Ā Ā Ā Ā CI Tools:Ā Jenkins
- Hands-on experience with Analytics tools, ELK stack.
- Knowledge of Java will be an advantage.
- Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort.
- Ability to help debug and optimise code and automate routine tasks.
- Should be extremely good in communication
- Experience in dealing with difficult situations and making decisions with a sense of urgency.
- Experience in Agile and Jira will be an add on
2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.


