AWS DevOps Engineer (Senior) - Migration Project (VMware to AWS) at Mactores Cognition Private Limited · Remote only · 6 - 16 years · ₹10L - ₹37L / yr · Profitable · Remote only · Posted 13 Oct 2026
AWS DevOps Engineer (Senior) - Migration Project (VMware to AWS)
Amazon Web Services (AWS)
DockerThis is a senior role in our Application & Database Modernization pillar, on a specific mission: leading a large-scale VMware-to-AWS migration and landing it in production. VMware estates are exactly where modernization programs go to stall — sprawling dependency graphs, undocumented workloads, and a hypervisor bill that grows while the migration deck gathers dust. Our customers need that estate moved, cut over, and retired, on a date in the contract.
You'll lead the design and implementation of the target infrastructure: Landing Zones built to AWS best practices, EKS-based container platforms, Infrastructure as Code across the stack with Terraform and CloudFormation, and HA, DR, security, and backup strategies that hold up in production. Aedeon absorbs the discovery, dependency-mapping, and validation grind that would otherwise consume the project's first two quarters. You own the judgment calls, architecture tradeoffs, cutover sequencing, risk decisions and you carry them through to production. You'll also mentor engineers and shape long-term infrastructure strategy with customer stakeholders. If you want your migration experience to end in retired VMware clusters rather than revised project plans, this is the role.
What you will do?
- Lead the design and implementation of infrastructure for a large-scale VMware-to-AWS migration — from discovery through production cutover.
- Architect and build secure, scalable, and highly available AWS environments, including Landing Zones that follow AWS best practices.
- Design and implement containerized application platforms on Amazon EKS; exposure to ECS is a plus.
- Implement Infrastructure as Code using Terraform and AWS CloudFormation.
- Define and enforce best practices across security, backups, high availability (HA), disaster recovery (DR), monitoring, and operations.
- Enable configuration management using tools such as Ansible, Chef, or similar.
- Build CI/CD pipelines and manage the complete build and release lifecycle for customer applications.
- Drive automation across provisioning, deployment, and operational workflows.
- Retire legacy infrastructure and land cloud-native architectures in its place.
- Improve and maintain DevOps platforms: Jenkins, Git repositories, monitoring, and observability stacks.
- Provide L3-level support for complex infrastructure and platform issues.
- Work with stakeholders on technical strategy and long-term architecture.
- Mentor engineers, contribute to talent evaluation, and support team development.
What are we looking for?
- 6+ years of hands-on DevOps experience, with strong expertise in designing and managing cloud infrastructure.
- Strong experience in VMware-to-AWS migration projects or large-scale infrastructure migrations.
- 4+ years of Terraform and CloudFormation for Infrastructure as Code (IaC).
- 4+ years in configuration management, systems engineering, and managing production-grade infrastructure.
- Solid Linux and/or Windows administration background.
- Deep understanding of AWS services, including VPC, EC2, IAM, EKS, ECS, RDS, S3, Backup, CloudWatch, etc.
- Experience with Kubernetes (EKS), ECS, and Docker in production environments.
- Hands-on experience designing HA, DR, security, and backup strategies.
- Experience with Landing Zone setup, multi-account strategy, and AWS governance frameworks.
- Proficiency in Git with a strong understanding of branching and merging strategies.
- Experience with CI/CD pipelines, automation, and operational tooling.
- A problem-solving mindset that's proactive and oriented toward reliability, performance, and scalability.
You will be preferred if
- Experience across multiple cloud platforms (AWS, Azure, GCP).
- AWS certifications such as Solutions Architect Associate/Professional or DevOps Engineer Professional.
- Exposure to data platforms such as Amazon EMR, Redshift, Lake Formation, and SageMaker.
- Experience designing cloud architectures at an L3/Architect level.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Mactores Cognition Private Limited
About
Mactores is a global technology consulting and product company with focus on delivering solutions on Cloud, Big Data, Deep Analytics, DevOps, IoT & AI
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Amazon Web Services (AWS)DockerKubernetesJob Title : DevOps Engineer / Site Reliability Engineer (SRE)
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Amazon Web Services (AWS)The Role
As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that
keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and
observability that let a small, fast-moving team ship confidently — and you'll keep our AI and
data workloads reliable and affordable at scale.
This is a hands-on role with real ownership: you won't be maintaining someone else's setup,
you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make
deployment boring, incidents rare, and scaling a non-event. ---
What You'll Own
**CI/CD & developer experience**
- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with
confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible
automated testing, rollbacks, and release controls.
**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or
similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.
**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and
resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch
processing for the speech pipeline.
**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting,
on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.
**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and
processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.
**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in
transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security
requirements) for a product that handles sensitive customer conversations.
**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability
and spend. ---
What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production
systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and
Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI,
Jenkins, Argo, or similar).
- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong
automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog,
OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team.
Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch
pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data
pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud
ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. ---
Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real
scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data,
and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon