Optum Logo

Optum

Principal Data Engineer

Posted 3 Days Ago
Be an Early Applicant
In-Office
Chennai, Tamil Nadu
Senior level
In-Office
Chennai, Tamil Nadu
Senior level
Provide L1-L3 production support for enterprise MongoDB Atlas environments, including monitoring, scaling, backups, upgrades, performance tuning, security, networking, disaster recovery, and incident resolution. Build Terraform-based infrastructure automation, support multi-cloud deployments across Azure, AWS, and GCP, partner with application and engineering teams, coordinate vendor escalations, and participate in 24/7 on-call coverage.
The summary above was generated by AI
Requisition Number: 2369795
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are seeking a highly experienced Senior MongoDB Atlas Platform Support Engineer to provide enterprise grade operational and technical support for MongoDB Atlas in cloud native environments. This role is responsible for end to end L1-L3 production support, day 2 operational excellence, performance and availability optimization, and close collaboration with application teams, platform engineering, and cloud service providers.
The ideal candidate is a MongoDB Atlas subject matter expert with solid cloud, automation, and database fundamentals, capable of supporting mission critical systems in a 24×7 enterprise production environment.
Primary Responsibilities:
  • Provide L1 / L2 / L3 production support for MongoDB Atlas clusters, including incident response, root cause analysis, and resolution
  • Own day 2 operations, including cluster health monitoring, capacity planning, scaling, backups, restores, upgrades, and maintenance coordination
  • Troubleshoot and resolve complex performance, stability, and availability issues related to queries, indexing strategies, replication, sharding, and client connectivity
  • Configure, manage, and support Atlas networking and security, including Private Endpoints, IP access controls, encryption, IAM, and compliance requirements
  • Partner with application teams to support onboarding, migrations, production readiness, and ongoing optimization
  • Collaborate with MongoDB vendor support and internal engineering teams on escalations, defect resolution, and security remediation
  • Design, implement, and maintain Infrastructure as Code (IaC) using Terraform and supporting automation scripts
  • Support multi cloud MongoDB Atlas environments across Azure, AWS, and GCP
  • Participate in on call rotations and provide 24×7 production support coverage as required
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:
  • Bachelor's degree in computer science or a related field
  • 8+ years of hands on experience supporting MongoDB Atlas in production environments
  • 4+ years of experience supporting relational databases (SQL Server or equivalent preferred)
  • Hands on experience provisioning and managing MongoDB Atlas resources using APIs
  • Experience supporting enterprise scale / multi cloud MongoDB deployments
  • Experience supporting cloud hosted databases on Azure, AWS, and GCP
  • Experience building automation for operational workflows, monitoring, and diagnostics
  • Proven experience using Terraform for infrastructure provisioning and automation
  • Solid expertise in MongoDB Atlas operations, administration, and troubleshooting
  • Deep understanding of MongoDB architecture, including replica sets, sharding, indexing, and performance tuning
  • Solid understanding of security, encryption, backups, disaster recovery, and compliance in cloud environments
  • Familiarity with GitHub, including GitHub Actions and Kubernetes -based application platforms
  • Proficiency in at least one programming or scripting language such as Python, Golang, Java, Shell, or PowerShell
  • Proven ability to diagnose and resolve high severity production issues under pressure, with clear and effective stakeholder communication
  • Proven excellent debugging, troubleshooting, communication, and presentation skills
  • Demonstrated self motivation, ownership mindset, and positive attitude

Preferred Qualifications:
  • MongoDB Atlas certification
  • Solid SQL fundamentals: SQL Server experience

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Similar Jobs at Optum

3 Hours Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and maintain scalable ETL/ELT pipelines, data warehouses, and big data infrastructure. Optimize databases and workflows, implement data quality and governance frameworks, automate testing and deployment, troubleshoot complex data issues, and ensure reliable systems. Collaborate with data scientists, analysts, and business teams to support analytics and machine learning. Mentor junior engineers and establish data engineering best practices.
Top Skills: Ai AgentsAirflowAzureAzure Data FactoryAzure DatabricksDockerGCPHadoopJenkinsKafkaKubernetesMachine LearningPythonRagScalaSnowflakeSparkSQL
3 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads coding quality operations, personnel performance, client relationships, audits, compliance, reporting, process improvement, budgeting, and retention initiatives. Reviews coding and billing requirements, monitors KPIs, coaches team members, identifies training needs, resolves operational issues, and supports management planning. Requires extensive medical coding experience, coding certification, healthcare reimbursement knowledge, and leadership experience.
Top Skills: AapcAhimaCcsCcs-PCpcCpc-H
3 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Owns end-to-end delivery governance for technical workstreams, including timelines, scope, milestones, dependencies, risks, blockers, and stakeholder reporting. Drives delivery improvements through metrics such as velocity, throughput, and defects while coordinating Product, Business Analysis, Engineering, distributed teams, and vendors. Requires strong project management, Agile, planning, risk management, communication, and multitasking skills, along with experience leading IT delivery, data engineering, or analytics programs.
Top Skills: Agile

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account