Project Role : Packaged/SaaS Application Engineer

Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.

Must have skills :Site Reliability Engineering

Good to have skills:NA
Minimum 7.5 year(s) of experience is required

Educational Qualification:15 years full time education

Summary:
As a Packaged or Software as a Service Application Engineer, a typical day involves configuring and supporting packaged or SaaS applications to meet evolving business requirements. This role requires managing application features, overseeing release processes, and ensuring the overall stability and performance of systems. The engineer works with various tools, application programming interfaces, and low-code platforms to tailor solutions that align with organizational goals while maintaining compatibility across different environments. Collaboration with multiple teams and continuous monitoring of application health are integral parts of daily activities to deliver seamless user experiences.

Experience Required
5-7+ years of experience in Cloud Engineering, Site Reliability Engineering, DevOps, DataOps, or Platform Engineering
Minimum 3 years of hands-on experience with Terraform and AWS-based data platforms
Minimum 2 years of experience with at least two of the following: Databricks, Snowflake, dbt, Immuta, or Astronomer/Airflow
Role Summary
The Cloud & Data Site Reliability Engineer will design, automate,



and operate secure, scalable, and highly reliable cloud-native data platforms across multi-account and multi-region AWS environments. The role combines Cloud Engineering, DataOps, DevOps, observability, automation, and SRE practices to support enterprise analytics, AI/ML, and data modernisation initiatives.
The engineer will be responsible for platform availability, infrastructure automation, incident management, performance optimisation, data governance, security, cost control, and integration across AWS, Databricks, Snowflake, dbt, Immuta, and Astronomer/Airflow.

Primary Skills
1.Terraform Enterprise
oAdvanced Terraform module development and composition
oWorkspace strategy, remote state, policy-as-code, and semantic versioning
oDynamic blocks, loops, conditionals, collections, validations, and preconditions
oMulti-account and multi-region infrastructure deployment
oTerraform testing, documentation, migration, and cross-repository dependencies
2.AWS Cloud Engineering
oAWS S3, IAM, KMS, Lambda, Glue, Athena, CloudWatch, EventBridge, and Step Functions
oAWS Lake Formation and Glue Data Catalog
oMulti-account, multi-setting, and multi-region AWS architecture
oPrivate networking, cross-account access, disaster recovery,



and high availability
oAWS security, governance, compliance, and cost optimisation
3.Data Platform Engineering
oDatabricks administration, Unity Catalog, clusters, notebooks, jobs, and MLflow
oSnowflake administration, RBAC, storage integration, warehouse lifecycle, and performance tuning
odbt models, macros, tests, documentation, and target configuration
oAstronomer/Airflow-based orchestration
oApache Iceberg and Bronze/Silver/Gold data architecture
4.Python and Automation
oPython scripting for cloud automation, Lambda functions, validation, and platform workflows
oPySpark and Pandas
oAPI integration and configuration management
oAutomation of operational activities and remediation workflows
5.GitLab CI/CD and DevOps
oGitLab CI/CD pipeline architecture
oParallel and matrix-based deployments
oAutomated testing, security scanning, artifact management, and production approval gates
oGitOps promotion, secrets management, and concurrency controls
oMulti-environment deployment across development, test, UAT, and production
6.Site Reliability Engineering and Observability
oSLIs, SLOs, SLAs, error budgets, and capacity planning
oIncident response, root-cause analysis, post-incident reviews, and operational runbooks
oMetrics, monitoring, dashboards, logging, tracing, and anomaly detection
oSelf-healing, automated recovery, retries, checkpointing, and dead-letter handling
oPerformance optimisation across storage, compute, networking, and data pipelines

Qualification
15 years full time education

📌 Packaged/SaaS Application Engineer (Pune)
🏢 Accenture
📍 Pune