Lead Devops Engineer at upraisal · Bengaluru (Bangalore) · 5 - 15 years · ₹5L - ₹50L / yr · Posted 18 Aug 2022

- Work towards improving the following 4 verticals - scalability, availability, security, and cost, for company's workflows and products.
- Help in provisioning, managing, optimizing cloud infrastructure in AWS (IAM, EC2, RDS, CloudFront, S3, ECS, Lambda, ELK etc.)
- Work with the development teams to design scalable, robust systems using cloud architecture for both 0-to-1 and 1-to-100 products.
- Drive technical initiatives and architectural service improvements.
- Be able to predict problems and implement solutions that detect and prevent outages.
- Mentor/manage a team of engineers.
- Design solutions with failure scenarios in mind to ensure reliability.
- Document rigorously to keep track of all changes/upgrades to the infrastructure and as well share knowledge with the rest of the team
- Identify vulnerabilities during development with actionable information to empower developers to remediate vulnerabilities
- Automate the build and testing processes to consistently integrate code
- Manage changes to documents, software, images, large web sites, and other collections of code, configuration, and metadata among disparate teams

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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
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
Cloud Infrastructure Engineer – BANG | 10+ Years
Location: Bangalore
Experience: 10+ Years
Job Description:
- Design, implement, and manage cloud infrastructure across AWS/Azure/GCP environments.
- Strong experience in cloud architecture, compute, storage, networking, and security.
- Manage VMs, VPC/VNet, load balancers, DNS, DHCP, firewalls, and IAM.
- Hands-on experience with Windows/Linux servers, VMware, virtualization, and infrastructure operations.
- Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
- Monitor infrastructure performance, availability, and capacity using tools such as Grafana, Prometheus, or CloudWatch/Azure Monitor.
- Handle incident management, troubleshooting, disaster recovery, backup, and high-availability requirements.
- Work with cross-functional teams to support cloud migration, infrastructure upgrades, and production environments.
- Ensure infrastructure follows security, compliance, and operational best practices.
Must-Have Skills:
Cloud Infrastructure | AWS/Azure/GCP | Networking | Linux/Windows | VMware | Terraform | Ansible | DNS/DHCP | IAM | Monitoring | Backup & DR
Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.
Legacy infrastructure doesn't retire itself. Someone has to build the pipelines, rehearse the cutover, and carry the release into production and that's this seat. As a Senior AWS DevOps Engineer, you serve our application and infrastructure modernization work: you own build and release cycles for customer projects, land migrations from legacy hardware to AWS, and make deployments boring in the best sense of the word.
Agents change what this job looks like day to day. Aedeon and automation handle the repetitive discovery, mapping, and validation work that used to eat engineer hours. That leaves you the parts that actually need a senior engineer: infrastructure architecture, risk tradeoffs, release judgment, and the operational standards the whole team ships against. You'll work client-facing, embedded with customer teams, and the delivery commitment is one you carry personally.
What we are looking for?
- 4+ years with Terraform for Infrastructure as Code (IaC) including modules, remote state, state management, imports and multi account providers.
- Experience in designing highly available and secure AWS architecture within strong understanding of RTO/RPO and DR Strategies.
- 4+ years in configuration management and systems engineering, supporting large-scale Agile environments.
- 4+ years of Linux or Windows administration.
- 4+ years working with Git, with a solid grasp of branching and merging strategies.
- 4+ years hands-on with AWS infrastructure and platform services.
- 2+ years with cloud automation tools such as Ansible or Chef.
- 2+ years with container orchestration, Kubernetes (EKS), AWS ECS, and Docker.
- A proactive, solutions-oriented approach and a drive to improve reliability and scalability.
What you will do?
- Automate infrastructure creation with Terraform and AWS CloudFormation — infrastructure as code, not tickets and toil.
- Own application configuration management and drive Infrastructure as Code through deployment tooling.
- Own the build and release cycle for customer projects, end to end.
- Share responsibility for deploying releases and for operations and maintenance work.
- Improve the operations infrastructure we ship with — Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana.
- Support the engineering team operationally and help migrate legacy infrastructure to the cloud — retiring the old systems, not just standing up new ones.
- Establish and enforce operational best practices, and hold releases to them.
- Help hire culturally aligned engineers and mentor them as they grow.
- Work with the founders on team strategy and long-term technical planning.
- Work across distributed teams in the US and India, and with customer SMEs, to keep the business logic honest through migration.
Job Title: DevOps Manager
Experience: 8+ Years
Location: Pune
Employment Type: Full-time
About the Role
We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.
Key Responsibilities
• Lead and mentor the DevOps engineering team.
• Design, implement, and optimize CI/CD pipelines and deployment processes.
• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.
• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.
• Manage Docker and Kubernetes based environments.
• Develop and maintain automation scripts using Shell/Bash Scripting and Python.
• Implement monitoring, logging, alerting, and observability.
• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.
• Drive infrastructure security, performance, scalability, and cloud cost optimization.
• Collaborate with Development, QA, Security, Architecture, and Delivery teams.
Required Skills & Qualifications
• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.
• Strong hands-on experience in Shell / Bash Scripting.
• Experience with AWS / Azure / GCP cloud platforms.
• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Hands-on experience with Docker, Kubernetes, and Helm.
• Strong experience with Terraform and Ansible.
• Experience with Linux administration, Git, networking, IAM, and cloud security.
• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.
• Strong troubleshooting, communication, stakeholder management, and team leadership skills.
Preferred Skills (Nice to Have)
• Python scripting experience.
• Cloud / Kubernetes / Terraform certifications.
• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.
Amura’s Vision
We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.
Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.
Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.
These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.
We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.
Role Overview
We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.
This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.
You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability.
Key Responsibilities
Cloud Infrastructure & Platform Engineering (AWS)
- Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
- Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
- Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
- Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
- Build reusable platform templates and shared infrastructure modules.
AI/ML Infrastructure & MLOps
- Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
- Support GPU-based workloads and optimize compute/storage usage.
- Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
- Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines.
CI/CD, Automation & Developer Productivity
- Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
- Automate deployments, environment provisioning, and release workflows.
- Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
- Implement automated patching, scaling, backups, cleanup workflows, and drift detection.
Containers, Kubernetes & Platform Reliability
- Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
- Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
- Optimize infrastructure for performance, resilience, and cost-efficiency.
- Implement progressive deployment strategies including blue/green, canary, and rolling deployments.
Observability, Incident Response & SRE Practices
- Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
- Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
- Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.
FinOps, Cost Governance & Security
- Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
- Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
- Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.
Collaboration, Leadership & Platform Culture
- Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
- Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.
Skills & Qualifications
Must-Have:
- 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
- Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
- Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.
Preferred / Nice-to-Have:
- Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
- Familiarity with Kafka, Redis, SQS, and event-driven systems.
- Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
- AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations.
Preferred / Nice-to-Have:
- Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
- Familiarity with Kafka, Redis, SQS, and event-driven systems.
- Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
- AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations.
Here are answers to some questions you may have
Where is your office?
Chennai (Velachery)
Work Model
Work from Office – because great stories are built in person!
Do you have an online presence?
https://amura.ai (we are @AmuraHealth on all social media)
Job Description:
- Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
- CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
- Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
- Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
- Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
- Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
- Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
- Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.
Qualifications:
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: 7 - 10 years of overall experience with relevant experience of at least 7 years in DevOps and served as a lead or senior engineer.
Company Description
Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that specializes in digital services for startups to fortune-500s. We work closely with our clients to create a comprehensive soul for their brand in the online world, engaged through multiple platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think out of the box or tread the un-trodden path in order to deliver the best results for our clients. We pride ourselves on Practical Creativity where the idea is only as good as the returns it fetches for our clients.
Role Overview
We are looking for an experienced Senior Cloud Security Engineer with 7+ years of experience, including strong hands-on expertise in AWS Cloud Security. The candidate will be responsible for designing, implementing, assessing, and continuously improving security across AWS cloud environments. The role requires strong knowledge of cloud security architecture, IAM, network security, threat detection, vulnerability management, incident response, security monitoring, encryption, and DevSecOps.
This is a highly technical position. Hands-on technical expertise will be given significantly more importance than communication skills. Good written and verbal communication is sufficient.
Key Responsibilities
- Design and implement secure AWS cloud architectures.
- Establish and maintain AWS security best practices and security controls.
- Implement IAM, RBAC, least-privilege access, MFA, federation and privileged access controls.
- Secure AWS networking including VPCs, Security Groups, NACLs, routing, private/public subnets and VPC endpoints.
- Implement and manage AWS security services including:
- AWS IAM
- AWS KMS
- AWS CloudTrail
- Amazon GuardDuty
- AWS Security Hub
- AWS Config
- AWS WAF
- AWS Secrets Manager
- Monitor and investigate security events, threats and suspicious activities.
- Lead or participate in cloud security incident response and root-cause analysis.
- Conduct vulnerability assessments and coordinate remediation.
- Perform AWS security posture reviews and identify misconfigurations.
- Review cloud architectures and provide security recommendations.
- Implement encryption and data protection controls.
- Secure CI/CD pipelines and support DevSecOps practices.
- Review Infrastructure as Code for security risks.
- Implement security automation wherever possible.
- Work with engineering, DevOps and infrastructure teams to embed security into the development lifecycle.
- Establish security standards, policies and controls for AWS environments.
- Support compliance requirements and security audits.
- Mentor junior engineers and provide technical guidance.
Mandatory Technical Skills
Must Have
- 7+ years of overall IT/Security/Cloud experience
- Strong AWS Cloud Security experience
- Hands-on AWS security architecture
- AWS IAM
- IAM policies, roles, permissions and least privilege
- AWS networking security
- VPC, Security Groups and NACLs
- CloudTrail and security logging
- GuardDuty
- Security Hub
- KMS and encryption
- Vulnerability management
- Cloud security monitoring
- Incident response
- Security hardening
- Security architecture/design
Good to Have
- AWS Organizations / SCP
- Terraform / CloudFormation
- DevSecOps
- CI/CD security
- Docker/Kubernetes security
- SAST/DAST/SCA
- SIEM tools
- Python/Bash/PowerShell scripting
- CIS Benchmarks
- NIST
- ISO 27001
- SOC 2
- AWS security certifications
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.
We're hiring a Cloud Architect (Contract) to work with our Equity Partners who builds profitable growth by acquiring and operating enterprise software companies. Refining a proprietary operating model across 40+ acquisitions and two decades of hands-on experience, now supercharged by our patented agentic AI platform . In this role, you'll take full architectural control of our CI/CD, observability, and event streaming infrastructure, build the standards every new acquisition plugs into, and use AI-assisted automation to keep 20+ products reliable without proportionally scaling headcount.
Job title: Cloud/Platform Architect (SRE)
Type: Global Remote | Contract
What You Bring
- 8–12 years in platform engineering, DevOps, or SRE, with growing ownership over time
- Deep Terraform experience across multi-account, multi-env setups
- Real production experience with event streaming at scale
- Hands-on Grafana, Prometheus, Loki, and strong AWS depth (ECS, EKS, IAM, VPC, RDS)
- SRE fundamentals: SLOs, error budgets, on-call design, post-mortems
- Bonus: acquisition or greenfield platform-building experience
Roles and Responsibilities
- Own everything outside core AWS infra: CI/CD, observability, event streaming, deployment, incidents
- Define the standards every future acquisition will plug into
- Keep 20+ enterprise products running at serious scale (millions–billions of requests)
- Build self-service tooling so product teams never wait on you
- Use AI/automation to kill toil — not to replace engineering judgement
Ready to build the platform that scales an entire portfolio? — let's connect.







