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Hiring for Senior Devops Engineer - AWS

Exp : 6 - 8 yrs

Edu : BE/B.Tech

Work Location : Pune WFO

Notice Period : Immediate - 15 days

Skills :

5+ years of hands-on experience in DevOps Engineering and Infrastructure Management.

Exp with AWS Cloud, including EC2, S3, VPC, EKS, Lambda, IAM, CloudWatch, and other core AWS services.

Exp in Terraform for Infrastructure as Code (IaC).

Exp with Kubernetes (EKS) and Helm for container orchestration and deployment.

Good knowledge of Monitoring & Observability tools such as Grafana and Prometheus.

Apply directly at VotersAI website (https://votersai.com/careers), a silicon valley, USA based start-up building a patent-pending, multi-tenant intelligence platform on AWS. We are hiring a DevOps / platform engineer to own our deployment pipeline, cloud infrastructure, observability, and reliability.

What you will do

• Build and operate CI/CD that deploys server-less services to AWS through GitHub Actions and OIDC (no stored credentials), with safe one-at-a-time deploys, verification, and fast rollback.
• Operate and harden a production AWS estate: Lambda, API Gateway, SQS with dead-letter queues, DynamoDB, RDS PostgreSQL, VPC networking, IAM, S3, CloudFront, Route 53, Cognito, Secrets Manager, SES.
• Build out observability — CloudWatch metrics, alarms, dashboards, structured logging, and alerting — and an operations and monitoring surface for the team.
• Engineer for resilience and scale: load and chaos testing, Step Functions self-healing and auto-remediation, capacity and concurrency tuning, and queue-based admission control for high-burst workloads.
• Own least-privilege IAM, secret rotation, and infrastructure security.
• Carry on-call; drive incident response and mean-time-to-resolve.

Required experience

• Minimum 5 years of professional experience is required, in DevOps, SRE, or platform engineering, with deep hands-on AWS: Lambda, API Gateway, SQS, DynamoDB, IAM, VPC, CloudWatch, EventBridge, Step Functions, S3, CloudFront, Cognito, Secrets Manager.
• Infrastructure-as-code: Terraform, CloudFormation, SAM, or CDK.
• GitHub Actions CI/CD, including OIDC federation to cloud roles.
• Strong in BOTH NoSQL and relational databases: DynamoDB (single-table design, capacity and throughput modeling) AND PostgreSQL (RDS operations, tuning, backups).
• REST API operations behind API Gateway: authorizers, throttling, CORS, staged

deployments.

• Observability and incident response: metrics, alarms, dashboards, alerting, SLOs, and MTTR discipline.
• Confident Python and Bash scripting; strong Linux

Preferred

• Capacity planning and queuing theory; chaos and load testing. High-volume messaging: SMS 10DLC and email deliverability.
• Multi-tenant SaaS, and operating under regulated-communications compliance such as TCPA.
• ClickHouse or another columnar / OLAP database in production.

Other Skills:

• Fluent in English
• Extremely focused work habits.
• You will be working on patent pending technology, strong Math background preferred.
• You will have the lifetime opportunity to learn cutting edge technology from Silicon Valley experts.

Location:

You should be able to commute to Aundh Area of Pune.

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Technical Skills:

• Ability to understand and translate business requirements into design.
• Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
• Experience in creating ETL jobs using Python/PySpark.
• Proficiency in creating AWS Lambda functions for event-based jobs.
• Knowledge of automating ETL processes using AWS Step Functions.
• Competence in building data warehouses and loading data into them.

Responsibilities:

• Understand business requirements and translate them into design.
• Assess AWS infrastructure needs for development work.
• Develop ETL jobs using Python/PySpark to meet requirements.
• Implement AWS Lambda for event-based tasks.
• Automate ETL processes using AWS Step Functions.
• Build data warehouses and manage data loading.
• Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.