AWS Developer at Consulting & Implementation Services Data Analytic & EPM · Noida · 3 - 8 years · ₹9L - ₹24L / yr · Posted 27 Jan 2023
About the Company :
Our Client enables enterprises in their digital transformation journey by offering Consulting & Implementation Services related to Data Analytics &Enterprise Performance Management (EPM).
Our Cleint deliver the best-suited solutions to our customers across industries such as Retail & E-commerce, Consumer Goods, Pharmaceuticals & Life Sciences, Real Estate & Senior Housing, Hi-tech, Media & Telecom as Manufacturing and Automotive clientele.
Our in-house research and innovation lab has conceived multiple plug-n-play apps, toolkits and plugins to streamline implementation and faster time-to-market
Job Title– AWS Developer
Notice period- Immediate to 60 days
Experience – 3-8
Location - Noida, Mumbai, Bangalore & Kolkata
Roles & Responsibilities
- Bachelor’s degree in Computer Science or a related analytical field or equivalent experience is preferred
- 3+ years’ experience in one or more architecture domains (e.g., business architecture, solutions architecture, application architecture)
- Must have 2 years of experience in design and implementation of cloud workloads in AWS.
- Minimum of 2 years of experience handling workloads in large-scale environments. Experience in managing large operational cloud environments spanning multiple tenants through techniques such as Multi-Account management, AWS Well Architected Best Practices.
- Minimum 3 years of microservice architectural experience.
- Minimum of 3 years of experience working exclusively designing and implementing cloud-native workloads.
- Experience with analysing and defining technical requirements & design specifications.
- Experience with database design with both relational and document-based database systems.
- Experience with integrating complex multi-tier applications.
- Experience with API design and development.
- Experience with cloud networking and network security, including virtual networks, network security groups, cloud-native firewalls, etc.
- Proven ability to write programs using an object-oriented or functional programming language such as Spark, Python, AWS Glue, Aws Lambda
Job Specification
*Strong and innovative approach to problem solving and finding solutions.
*Excellent communicator (written and verbal, formal and informal).
*Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
*Ability to multi-task under pressure and work independently with minimal supervision.
Regards
Team Merito

Similar jobs (6)
Job Summary
We are looking for an experienced AWS Cloud Engineer with strong expertise in AWS infrastructure, deployment, migration, and cloud operations. The candidate should have hands-on experience managing AWS services such as EC2, EBS, S3, EFS, and FSx, along with infrastructure provisioning, migration, troubleshooting, and optimization.
Key Responsibilities
- Design, deploy, configure, and manage AWS infrastructure environments.
- Perform application and infrastructure migration to AWS.
- Provision and manage EC2 instances, including configuration, scaling, patching, and troubleshooting.
- Manage EBS volumes, snapshots, backups, and storage performance.
- Configure and administer S3 buckets, storage policies, lifecycle management, and access controls.
- Manage EFS for scalable shared file storage.
- Implement and manage Amazon FSx file systems based on application requirements.
- Monitor AWS infrastructure performance, availability, and capacity.
- Troubleshoot infrastructure, networking, storage, and deployment-related issues.
- Implement security best practices including IAM, security groups, encryption, and access controls.
- Support backup, disaster recovery, high availability, and business continuity requirements.
- Optimize AWS resources for performance, scalability, reliability, and cost.
Mandatory Skills
- Strong hands-on experience in AWS Cloud Infrastructure.
- Expertise in EC2, EBS, S3, EFS, and FSx.
- Experience in AWS deployment and migration projects.
- Strong knowledge of AWS networking concepts such as VPC, Subnets, Route Tables, Security Groups, and Load Balancers.
- Experience with IAM and AWS security best practices.
- Good knowledge of AWS monitoring and troubleshooting.
- Experience with cloud infrastructure automation using Terraform or CloudFormation is preferred.
- Strong Linux administration and troubleshooting skills.
- Good understanding of backup, disaster recovery, and high-availability concepts
Data Engineer
Location: Bengaluru, India (Hybrid)
Employment Type: Full-time
Experience: 3-5 years
Role Overview
What We’re Looking For:
- Bachelor’s degree in Computer Science/Engineering or equivalent experience required.
- Experience designing and shipping cloud services products.
- Experience driving and managing technical and architectural dependencies on AWS Cloud.
- A firm understanding of system architecture, cloud computing, PaaS/SaaS design principles, S3, DynamoDB, RDS mandatory.
- Experience in building or maintaining ETL processes and tools, i.e., AWS Glue or any open-source tool.
- Proven system-level design contribution to a current “Live” (in production / under daily high load) multi-region SaaS or PaaS offering.
- Proven experience with S3, DynamoDB, SQL, and AWS RDS services.
- Proficiency in programming languages such as Python.
- Strong analytical and problem-solving skills.
Required Skills & Experience
- Experience with Python, SQL, and data visualization/exploration tools.
- Familiarity with the AWS ecosystem, specifically S3, DynamoDB, and RDS.
- Communication skills, especially for explaining technical concepts to nontechnical business leaders.
- Ability to work on a dynamic, research-oriented team that has concurrent projects.
- Experience in AWS cost optimization (Savings Plans, Reserved Instances, Spot Instances) and governance frameworks.
- Experience developing solutions using infrastructure orchestration tools (SSM, automation account, Ansible, etc.).
- Excellent leadership, stakeholder management, and communication skills.
What We Offer
- Work with some of the brightest minds in the emerging EV industry.
- Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
- Freedom to suggest, implement, and innovate on systems, processes, and technologies.
- Daily ownership in a high-growth, challenging environment.
- Flexible work environment with hybrid schedules and virtualization options.
- Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.
About the Role
We are looking for an experienced AWS DevOps Engineer with around 4 years of hands-on experience to join our infrastructure/DevOps team. The ideal candidate will independently design, deploy, and maintain cloud infrastructure primarily on AWS, drive automation initiatives, mentor junior engineers, and work closely with cross-functional teams to build scalable, secure, and highly available systems. Exposure to Azure is a strong plus.
Key Responsibilities
· Design, deploy, and maintain robust, scalable, and secure infrastructure on AWS
· Architect and manage core AWS services such as EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS, Route 53, and CloudFront
· Build, own, and optimize CI/CD pipelines (e.g., CodePipeline, Jenkins, GitLab CI, GitHub Actions) to enable fast and reliable deployments
· Design and implement Infrastructure as Code (IaC) using Terraform / AWS CloudFormation
· Set up and manage monitoring, logging, and alerting solutions (CloudWatch, ELK, Prometheus, Grafana, Datadog, etc.)
· Implement and enforce security best practices including IAM policies, security groups, NACLs, KMS, Secrets Manager, and compliance standards
· Lead troubleshooting and root cause analysis for infrastructure, deployment, and production incidents
· Drive backup, disaster recovery, high-availability, and cost-optimization strategies (Reserved Instances, Savings Plans, right-sizing)
· Containerize applications and manage orchestration using Docker, ECS, and/or Kubernetes (EKS)
· Automate repetitive operational tasks through scripting and tooling
· Support any hybrid or multi-cloud initiatives involving Azure services, where applicable
· Mentor junior engineers and review their work, providing technical guidance
· Collaborate with development, QA, security, and product teams to support and streamline application deployments
· Maintain comprehensive documentation of architecture, configurations, processes, and runbooks
· Participate in on-call rotations and incident response as needed
Required Skills & Qualifications
· Bachelor's degree in Computer Science, IT, or a related field (or equivalent practical experience)
· 4+ years of hands-on experience working with AWS cloud services in a production environment
· Strong expertise in core AWS services: EC2, S3, VPC, IAM, RDS, Lambda, CloudWatch, ECS/EKS, Route 53, ELB/ALB, Auto Scaling
· Solid understanding of networking concepts (subnets, routing, security groups, load balancers, VPNs, VPC peering, Direct Connect)
· Strong scripting/programming skills in Python, Bash, or PowerShell for automation
· Hands-on experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation
· Proven experience with Linux and/or Windows server administration
· Strong understanding of CI/CD pipelines, Git-based version control, and branching strategies
· Solid experience with containerization and orchestration (Docker, ECS, or EKS/Kubernetes)
· Experience with configuration management tools (Ansible, Chef, or Puppet) is a plus
· Application Server Management — strong knowledge of networking, firewalls, load balancers, Nginx, Apache, etc.
· Ability to independently read, interpret AWS documentation, and troubleshoot complex issues
· Experience with cost optimization, security audits, and compliance frameworks (e.g., ISO, SOC2) is a plus
· AWS certification (Solutions Architect Associate/Professional, DevOps Engineer Professional) preferred
Good to Have
· Working knowledge of Microsoft Azure services (Virtual Machines, VNets, Azure DevOps, Azure Storage, Azure AD/Entra ID, AKS)
· Experience with multi-cloud or hybrid-cloud environments
· Familiarity with Azure Resource Manager (ARM) templates or Bicep
· Any Azure certification (AZ-104, AZ-400, etc.)
Soft Skills
· Strong analytical, problem-solving, and decision-making ability
· Excellent verbal and written communication skills
· Ability to mentor and guide junior team members
· Proactive, ownership-driven approach to infrastructure and incident management
· Strong collaboration skills in a cross-functional, team-oriented environment
· High attention to detail with a focus on reliability and scalability
Strong Python Developer profile with robust AWS exposure
2
Mandatory (Experience 1): Must have 7+ years of hands-on software development experience with at least the recent 4+ years in Python and strong hands on knowledge of AWS
3
Mandatory (Tech skill 1): Must have strong working knowledge of Python.
4
Mandatory (Tech skill 2): Must have good understanding of AWS services including EC2, S3, Lambda, IAM, CloudWatch, and ECS or ECR
5
Mandatory (Tech skill 3): Must be able to write and understand REST APIs
6
Mandatory (Tech skill 4): Experience designing and architecting scalable backend applications/services on AWS, including making decisions around application architecture, APIs, databases, and AWS services
7
Mandatory (Tech skill 5): Must be comfortable with version control tools such as Git, GitHub, Bitbucket, or GitLab
8
Mandatory (Tech skill 6): Must have good understanding of databases such as PostgreSQL, MySQL, or DynamoDB
9
Mandatory (Tech skill 7): Must have familiarity with Linux commands and shell scripting
10
Mandatory (Skill 1): Must have good debugging and problem-solving skills, with the ability to read existing code and make changes independently with light guidance
11
Mandatory (Skill 2): Must have strong communication skills
12
Preferred (Tech skill 2): Experience with AWS CodeCommit, and exposure to AWS CodeBuild, CodeDeploy, CodePipeline, GitHub Actions, Jenkins, or similar CI/CD tools
13
Preferred (Tech skill 3): Basic understanding of CI/CD pipelines
14
Preferred (Tech skill 4): Experience with Docker or container-based applications
15
Preferred (Tech skill 5): Basic knowledge of infrastructure-as-code tools such as Terraform or AWS CloudFormation
Strong Python Developer profile with robust AWS exposure
2
Mandatory (Experience 1): Must have 7+ years of hands-on software development experience with at least the recent 4+ years in Python and strong hands on knowledge of AWS
3
Mandatory (Tech skill 1): Must have strong working knowledge of Python.
4
Mandatory (Tech skill 2): Must have good understanding of AWS services including EC2, S3, Lambda, IAM, CloudWatch, and ECS or ECR
5
Mandatory (Tech skill 3): Must be able to write and understand REST APIs
6
Mandatory (Tech skill 4): Must be comfortable with version control tools such as Git, GitHub, Bitbucket, or GitLab
7
Mandatory (Tech skill 5): Must have good understanding of databases such as PostgreSQL, MySQL, or DynamoDB
8
Mandatory (Tech skill 6): Must have familiarity with Linux commands and shell scripting
9
Mandatory (Skill): Must have good debugging and problem-solving skills, with the ability to read existing code and make changes independently with light guidance
10
Mandatory (Skill 2): Must have strong communication skills
11
Preferred (Tech skill 1): Experience with AWS CodeCommit, and exposure to AWS CodeBuild, CodeDeploy, CodePipeline, GitHub Actions, Jenkins, or similar CI/CD tools
12
Preferred (Tech skill 2): Basic understanding of CI/CD pipelines
13
Preferred (Tech skill 3): Experience with Docker or container-based applications
14
Preferred (Tech skill 4): Basic knowledge of infrastructure-as-code tools such as Terraform or AWS CloudFormation
About AuxoAI:
AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.
We help our clients with accelerating their digital and AI journeys through:
• AI Application Development
• Data, Digital and Cloud acceleration using AI
• AI Native Product Engineering
We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.
Responsibilities:
* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.
* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.
* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.
* Implement data governance and security best practices to ensure compliance and data integrity.
* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.
* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.
Requirements :
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.
* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.
* Strong programming skills in languages such as Python, Java, or Scala.
* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.
* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.







