Oracle DBA

Location: Bangalore preferred / Hybrid as applicable

Experience: 3+ years

Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline

Salary: Above market standards, flexible for the right candidate

Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations

About FrontM

FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.

The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.

Role Summary

As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.

This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.

Key Responsibilities

Cloud Infrastructure & DevOps Architecture (≈45%)

· Own, maintain and improve AWS cloud infrastructure for FrontM platforms

· Create and maintain Terraform scripts for infrastructure deployment and management

· Manage Kubernetes workloads deployed within AWS EKS

· Support multi-zone AWS infrastructure design for availability, resilience and scale

· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap

CI/CD, Operations & Platform Reliability (≈35%)

· Build, maintain and improve CI/CD pipelines for backend and platform services

· Oversee technical operations with hands-on administration, monitoring and release support

· Ensure continuous server uptime, stability, performance and maintainability

· Debug, respond to and restore system outages in production and staging environments

· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io

· Support backend stability, scale and performance across Node.js, Java and related services

Security, Networking & Production Support (≈20%)

· Maintain AWS security configurations, access controls and monitoring practices

· Support complex networking requirements across multi-domain SaaS implementations

· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users

· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements

· Document operational procedures, incident findings and technical support steps clearly

Required Technical Skills

Cloud Infrastructure & AWS

· Strong hands-on experience with AWS infrastructure and cloud operations

· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Experience with AWS security setup, monitoring and multi-zone infrastructure

· Ability to manage infrastructure using Terraform

Kubernetes, CI/CD & Observability

· Strong experience with Kubernetes, preferably AWS EKS

· Extensive CI/CD and DevOps experience

· Experience with infrastructure observability and application monitoring tools

· Ability to diagnose production bottlenecks, server failures and performance issues

Backend, Networking & SaaS Operations

· Experience supporting Node.js, Java and backend system procedures for stability and scale

· Good understanding of APIs, integrations and backend service dependencies

· Experience with complex networking and multi-domain SaaS implementations

· Ability to troubleshoot technical issues with non-technical end users

Nice to Have

· Experience with MongoDB clusters in MongoDB Atlas

Personal Attributes

· Strong ownership mindset for uptime, reliability and production stability

· Practical problem-solving approach with the ability to act quickly during incidents

· Clear written and spoken communication in English

· Ability to work independently and coordinate with senior management when required

· Comfortable working in fast-moving engineering teams

· Attention to detail in security, monitoring, documentation and operational processes

Why join FrontM?

Long-Term Career Growth

Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.

Engineering Challenges That Matter

Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.

Broad Technical Ownership

Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.

Apply now

Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.

About the Role 

We are looking for a Senior DevOps Engineer to lead the design, automation, and scaling of our hybrid cloud infrastructure spanning public cloud and private/on-premises environments. You will partner closely with software engineering, security, and product teams to build reliable, secure, and high-performance systems that support rapid product delivery. This is a hands-on role with significant influence over our infrastructure strategy, deployment workflows, and engineering culture. 

Key Responsibilities 

• Architect, deploy, and maintain scalable, highly available infrastructure across both public cloud (AWS, Azure, GCP) and private cloud platforms (OpenStack, VMware vSphere/Tanzu, Nutanix, or similar). 
• Operate and maintain on-premises infrastructure: hypervisors, compute, storage (Ceph, NetApp, SAN/NAS), networking (SDN, VLANs, BGP, MPLS), and hardware capacity planning, alongside their public cloud equivalents. 
• Design and own CI/CD pipelines that deploy seamlessly across public and private environments. 
• Implement and manage Infrastructure as Code (Terraform, Ansible, Pulumi) with strong version control and review practices, using providers for both public and private cloud platforms. 
• Manage container orchestration (Kubernetes, ECS, OpenShift, Rancher) across managed cloud services and self-managed/bare-metal clusters, including upgrades, autoscaling, and workload reliability. 
• Build observability into all systems through logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, ELK, or similar) with unified visibility across hybrid environments. 
• Champion security best practices: secrets management, IAM hardening, network segmentation, vulnerability scanning, and compliance (SOC 2, ISO 27001, HIPAA, or data-sovereignty requirements). 
• Lead incident response, root-cause analysis, and post-mortems; drive long-term reliability improvements and SLO/SLA adherence. 
• Optimize cost, capacity, and resource utilization across public cloud spend and on-premises hardware without compromising performance or availability. 
• Partner with data center operations and network providers on hardware provisioning, firmware management, MPLS circuit management, and lifecycle planning. 
• Mentor junior DevOps and software engineers; promote DevOps culture, automation-first thinking, and shared ownership of production. 
• Evaluate and introduce new tools, platforms, and processes that improve developer productivity and system reliability. 

Required Qualifications 

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles, with at least 2 years at a senior level. 
• Deep expertise with at least one major public cloud provider (AWS, Azure, or GCP) in production. 
• Hands-on experience operating private cloud or virtualization platforms (OpenStack, VMware, Nutanix, or equivalent) in production. 
• Strong experience with virtualization, storage systems, and enterprise networking in on-premises environments. 
• Strong hands-on experience with Kubernetes in production, including both managed cloud and self-managed/bare-metal clusters. 
• Proficiency in Infrastructure as Code (Terraform and Ansible strongly preferred). 
• Solid scripting and programming skills in Python, Go, Bash, or similar. 
• Experience designing and operating CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or ArgoCD. 
• Strong Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, VPNs, firewalls, routing, MPLS). 
• Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, New Relic, ELK, or OpenTelemetry). 
• Proven track record of leading incident response and improving system reliability. 
• Excellent communication skills and the ability to collaborate across engineering, security, infrastructure, and product teams. 

Preferred Qualifications 

• Experience designing hybrid and multi-cloud architectures, including secure connectivity (Direct Connect, ExpressRoute, MPLS, VPN, SD-WAN) between public and private environments. 
• Familiarity with service meshes (Istio, Linkerd), API gateways, and GitOps workflows (ArgoCD, Flux). 
• Background in security-focused or regulated environments and exposure to compliance frameworks. 
• Experience with database administration (PostgreSQL, MySQL, Redis, MongoDB) in cloud-managed and self-hosted setups. 
• Contributions to open-source DevOps or cloud infrastructure tooling. 
• Relevant certifications (AWS Solutions Architect / DevOps Engineer, Azure Administrator, CKA, CKAD, RHCE, VMware VCP, OpenStack Certified Administrator, HashiCorp Terraform Associate). 

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Key Responsibilities:

• Design, implement, and maintain scalable, secure, and cost-effective infrastructure on AWS and Azure
• Set up and manage CI/CD pipelines for smooth code integration and delivery using tools like GitHub Actions, Bitbucket Runners, AWS Code build/deploy, Azure DevOps, etc.
• Containerize applications using Docker and manage orchestration with Kubernetes, ECS, Fargate, AWS EKS, Azure AKS.
• Manage and monitor production deployments to ensure high availability and performance
• Implement and manage CDN solutions using AWS CloudFront and Azure Front Door for optimal content delivery and latency reduction
• Define and apply caching strategies at application, CDN, and reverse proxy layers for performance and scalability
• Set up and manage reverse proxies and Cloudflare WAF to ensure application security and performance
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates
• Administer and optimize databases (RDS, PostgreSQL, MySQL, etc.) including backups, scaling, and monitoring
• Configure and maintain VPCs, subnets, routing, VPNs, and security groups for secure and isolated network setups
• Implement monitoring, logging, and alerting using tools like CloudWatch, Grafana, ELK, or Azure Monitor
• Collaborate with development and QA teams to align infrastructure with application needs
• Troubleshoot infrastructure and deployment issues efficiently and proactively
• Ensure cloud cost optimization and usage tracking

Required Skills & Experience:

• 3-4 years of hands-on experience in a DevOps
• Strong expertise with both AWS and Azure cloud platforms
• Proficient in Git, branching strategies, and pull request workflows
• Deep understanding of CI/CD concepts and experience with pipeline tools
• Proficiency in Docker, container orchestration (Kubernetes, ECS/EKS/AKS)
• Good knowledge of relational databases and experience in managing DB backups, performance, and migrations
• Experience with networking concepts including VPC, subnets, firewalls, VPNs, etc.
• Experience with Infrastructure as Code tools (Terraform preferred)
• Strong working knowledge of CDN technologies: AWS CloudFront and Azure Front Door
• Understanding of caching strategies: edge caching, browser caching, API caching, and reverse proxy-level caching
• Experience with Cloudflare WAF, reverse proxy setups, SSL termination, and rate-limiting
• Familiarity with Linux system administration, scripting (Bash, Python), and automation tools
• Working knowledge of monitoring and logging tools
• Strong troubleshooting and problem-solving skills

Good to Have (Bonus Points):

• Experience with serverless architecture (e.g., AWS Lambda, Azure Functions)
• Exposure to cost monitoring tools like CloudHealth, Azure Cost Management
• Experience with compliance/security best practices (SOC2, ISO, etc.)
• Familiarity with Service Mesh (Istio, Linkerd) and API gateways
• Knowledge of Secrets Management tools (e.g., HashiCorp Vault, AWS Secrets Manager)

Looking out for GCP Devop's Engineer who can join Immediately or within 15 days

Job Summary & Responsibilities:

Job Overview:

You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.

Experience:

Experience working on billing and budgets for a GCP project - MUST

Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE

Experience in implementing the recommendations on GCP

Architect Certifications on GCP - MUST

Excellent communication skills (both verbal & written) - MUST

Excellent documentation skills on processes and steps and instructions- MUST

At least 2 years of experience on GCP.

Basic Qualifications:

● Bachelor’s/Master’s Degree in Engineering OR Equivalent.

● Extensive scripting or programming experience (Shell Script, Python).

● Extensive experience working with CI/CD (e.g. Jenkins).

● Extensive experience working with GCP, Azure, or Cloud Foundry.

● Experience working with databases (PostgreSQL, elastic search).

● Must have 2 years of minimum experience with GCP certification.

Benefits :

● Competitive salary.

● Work from anywhere.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including top-up insurance for COVID).

Location :

Remote - work from anywhere.

Kutumb is the first and largest communities platform for Bharat. We are growing at an exponential trajectory. More than 1 Crore users use Kutumb to connect with their community. We are backed by world-class VCs and angel investors. We are growing and looking for exceptional Infrastructure Engineers to join our Engineering team.

More on this here - https://kutumbapp.com/why-join-us.html">https://kutumbapp.com/why-join-us.html

We’re excited if you have:

• Recent experience designing and building unified observability platforms that enable companies to use the sometimes-overwhelming amount of available data (metrics, logs, and traces) to determine quickly if their application or service is operating as desired
• Expertise in deploying and using open-source observability tools in large-scale environments, including Prometheus, Grafana, ELK (ElasticSearch + Logstash + Kibana), Jaeger, Kiali, and/or Loki
• Familiarity with open standards like OpenTelemetry, OpenTracing, and OpenMetrics
• Familiarity with Kubernetes and Istio as the architecture on which the observability platform runs, and how they integrate and scale. Additionally, the ability to contribute improvements back to the joint platform for the benefit of all teams
• Demonstrated customer engagement and collaboration skills to curate custom dashboards and views, and identify and deploy new tools, to meet their requirements
• The drive and self-motivation to understand the intricate details of a complex infrastructure environment 
• Using CICD tools to automatically perform canary analysis and roll out changes after passing automated gates (think Argo & keptn)
• Hands-on experience working with AWS 
• Bonus points for knowledge of ETL pipelines and Big data architecture
• Great problem-solving skills & takes pride in your work
• Enjoys building scalable and resilient systems, with a focus on systems that are robust by design and suitably monitored
• Abstracting all of the above into as simple of an interface as possible (like Knative) so developers don't need to know about it unless they choose to open the escape hatch

What you’ll be doing:

• Design and build automation around the chosen tools to make onboarding new services easy for developers (dashboards, alerts, traces, etc)
• Demonstrate great communication skills in working with technical and non-technical audiences
• Contribute new open-source tools and/or improvements to existing open-source tools back to the CNCF ecosystem

Tools we use:

Kops, Argo, Prometheus/ Loki/ Grafana, Kubernetes, AWS, MySQL/ PostgreSQL, Apache Druid, Cassandra, Fluentd, Redis, OpenVPN, MongoDB, ELK

What we offer:

• High pace of learning
• Opportunity to build the product from scratch
• High autonomy and ownership
• A great and ambitious team to work with
• Opportunity to work on something that really matters
• Top of the class market salary and meaningful ESOP ownership

We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).

Job Description:

● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.

●Responsible for deploying highly complex, distributed transaction processing systems.

● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization

● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale

● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking

● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.

● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.

● Ensuring scaled database setup/monitoring with near zero downtime

Requirements and Qualifications

• Bachelor’s degree in Computer Science Engineering or in a related field
• 4+ years of experience
• Excellent analytical and problem-solving skills
• Strong knowledge of Linux systems and internals
• Programming experience in Python/Shell scripting
• Strong AWS skills with knowledge of EC2, VPC, S3, RDS, Cloudfront, Route53, etc
• Experience in containerization (Docker) and container orchestration (Kubernetes)
• Experience in DevOps & CI/CD tools such as Git, Jenkins, Terraform, Helm
• Experience with SQL & NoSQL databases such as MySql, MongoDB, and ElasticSearch
• Debugging and troubleshooting skills using tools such as strace, tcpdump, etc
• Good understanding of networking protocol and security concerns (VPN, VPC, IG, NAT, AZ, Subnet)
• Experience with monitoring and data analysis tools such as Prometheus, EFK, etc
• Good communication & collaboration skills and attention to details
• Participation in rotating on-call duties