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Senior Cloud Infrastructure Engineer – Mumbai / Hybrid

Department: Engineering

Location: Hybrid, Mumbai

Positions: 3

What Is This Role About?

We are expanding our core infrastructure engineering team responsible for the reliability, security, scalability, and operational efficiency of a regulated fintech platform. This is a hands-on production engineering role. You will work across AWS infrastructure, networking, databases, CI/CD, observability, security, disaster recovery, and automation.

We are looking for engineers who can independently investigate complex problems, make sound technical decisions, automate repetitive work, and take end-to-end ownership of production systems. This is not a ticket-driven DevOps role.

What You'll Own

- Architect and operate multi-account AWS environments using AWS Organizations, Control Tower, IAM, and IAM Identity Center.
- Design, build, operate, and optimize production workloads across ECS, EC2, ALB/NLB, RDS PostgreSQL, Lambda, S3, EFS, and related AWS services.
- Design and troubleshoot AWS networking including VPCs, subnets, route tables, NAT, Transit Gateway, security groups, load balancers, DNS, VPC endpoints, and hybrid connectivity.
- Build and govern Infrastructure as Code using Terraform/Terragrunt, including reusable modules, standards, state management, and infrastructure lifecycle management.
- Own and improve GitLab CI/CD pipelines, runners, deployment strategies, environment promotion, rollback mechanisms, and release automation.
- Build reliable container platforms with strong understanding of Docker image optimization, runtime behaviour, resource allocation, scaling, and ECS operations.
- Lead troubleshooting of complex distributed-system failures across infrastructure, network, application, container, and database layers.
- Operate Amazon RDS for PostgreSQL, including performance analysis, query tuning, indexing, VACUUM/ANALYZE, backup/recovery, replication, capacity planning, and operational troubleshooting.
- Build observability across logs, metrics, traces, dashboards, alerts, and SLOs using platforms such as CloudWatch, Grafana, and OpenTelemetry-compatible tooling.
- Manage secrets, IAM boundaries, encryption, certificates, KMS, and security controls across infrastructure and applications.
- Design and validate disaster recovery strategies across AWS regions and accounts, including recovery automation and periodic DR exercises.
- Lead production incident investigation, root-cause analysis, corrective actions, and prevention of recurring failures.
- Identify and drive AWS cost optimization across compute, databases, storage, networking, logging, and data transfer without compromising reliability.
- Participate in architecture reviews, capacity planning, security reviews, production-readiness reviews, and infrastructure design decisions.
- Replace manual operational processes with reliable automation using Python, Bash, APIs, Infrastructure as Code, and modern DevOps tooling.
- Work closely with developers, QA, security, and operations teams to improve software delivery and production reliability.
- Mentor engineers, review infrastructure changes, and help establish engineering standards across the team.

Must-Have Skills Candidates are expected to bring strong hands-on experience in the following areas from day one:
- 8+ years of hands-on experience in DevOps, SRE, Cloud Infrastructure, or Platform Engineering roles with direct production accountability.
- Deep AWS experience, including VPC architecture, multi-AZ design, networking, IAM, compute, storage, databases, scaling, and production troubleshooting.
- Strong AWS networking fundamentals including routing, NAT, Transit Gateway, DNS,



load balancing, private connectivity, and network troubleshooting.
- Advanced Terraform expertise, including reusable module design and authoring, remote state management, environment separation, and infrastructure lifecycle management.
- Strong container fundamentals including Docker image optimization, runtime troubleshooting, resource tuning, and production container orchestration.
- Strong Linux fundamentals and hands-on Bash and/or Python automation.
- Strong understanding of CI/CD architecture and production deployment strategies.
- Deep debugging capability across infrastructure, application, network, container, and database layers.
- Hands-on observability experience across logs, metrics, dashboards, alerting, and production incident investigation.
- Strong understanding of IAM, secrets management, encryption, least privilege, and cloud security fundamentals.
- Cloudflare, CDN, WAF, or reverse-proxy experience including routing, caching, TLS/SSL, security policies, and troubleshooting.
- Ability to independently investigate unfamiliar production problems using logs, metrics, traces, system behaviour, documentation, and first principles.

Preferred Skills

- Kubernetes production operations and troubleshooting.
- GitOps and declarative infrastructure/application delivery.
- OpenTelemetry, distributed tracing, and modern observability practices.
- Platform engineering, Internal Developer Platforms, self-service infrastructure, or developer experience initiatives.
- Apache Airflow or similar workflow orchestration platforms.
- Multi-region AWS disaster recovery architecture and DR automation.
- Advanced PostgreSQL administration and performance tuning.
- Cloud security and compliance experience in regulated environments.
- SOC 2, ISO 27001, CERT-In, SEBI, or similar regulatory/compliance exposure.
- IAM federation, SSO, and enterprise identity architecture.
- Cloud cost optimization / FinOps experience.
- Infrastructure policy-as-code and automated compliance controls.
- Software supply-chain security, container scanning, secrets scanning, and CI/CD security controls.

AI & Automation Expectations AI-assisted Engineering Will Increasingly Be Part Of Infrastructure Operations.

We Expect Engineers To Use It

Responsibly, Not Blindly.

You Should Be Able

To

- Use AI tools to accelerate investigation, scripting, documentation, automation, and operational analysis.
- Understand and validate AI-generated code, infrastructure changes, SQL, scripts, and recommendations before using them.
- Never execute AI-generated production changes without understanding their behaviour and potential blast radius.
- Identify opportunities where repetitive operational work can be safely automated.
- Design automation with appropriate validation, auditability, permissions, rollback, and human controls.
- Treat AI as an engineering accelerator, not a substitute for technical understanding.

How We Expect You to Operate This is not a checkbox role. We expect engineers to:
- Take ownership of problems from detection through permanent resolution.
- Make technical decisions within their area of responsibility without waiting for step-by-step instructions.
- Investigate incidents using evidence rather than assumptions.
- Argue with data, not opinions.




- Understand the systems they operate rather than treating infrastructure as a collection of configuration files.
- Automate repetitive work instead of repeatedly performing manual operations.
- Consider reliability, security, performance, operability, and cost when making infrastructure decisions.
- Understand the blast radius before making production changes.
- Challenge existing architecture when there is a technically better approach.
- Document important architectural decisions, operational procedures, and failure scenarios.
- Be comfortable working across boundaries, from VPCs and DNS to CI/CD, containers, databases, observability, and security.
- Leave systems more reliable and easier to operate than they found them.

This Role Is Not a Fit If You
- Have primarily certification-based or theoretical AWS knowledge without substantial hands-on production experience.
- Have mostly operated pre-built pipelines and infrastructure without understanding how they work underneath.
- Avoid production systems or are uncomfortable taking ownership during incidents.
- Depend on step-by-step instructions to investigate unfamiliar technical problems.
- Escalate issues without first investigating logs, metrics, configuration, dependencies, and system behaviour.
- Use AI-generated solutions without understanding and validating what they do.
- Prefer narrowly defined responsibilities and are uncomfortable troubleshooting across infrastructure layers.
- Treat recurring manual operational work as normal instead of looking for ways to automate it.
- Focus only on making a system work without considering reliability, security, scalability, operability, and cost.

Application Process Please send your resume to [email protected].

To help us evaluate your profile efficiently, please include all of the details below in your email.

Candidate Details

- Total Experience:
- Relevant Experience (DevOps / SRE / Cloud Infrastructure):
- Current Location:
- Preferred Location:
- Current Fixed CTC:
- Current Variable CTC:
- Expected CTC:
- Notice Period / Earliest Joining Date:
- Offer in Hand: Yes / No. If yes, mention offered CTC and joining timeline.

Technical Experience Please answer the following briefly. Keep your responses specific to work you personally performed.
- AWS Production Experience: How many years of hands-on AWS production experience do you have? Mention the key AWS services you have personally worked with.
- Production Scale: Describe the largest or most complex production environment you have personally operated. Include relevant scale such as AWS accounts, applications/services, traffic, infrastructure size, database size, or availability requirements.
- Production Incident: Describe one significant production incident you personally investigated and resolved. Briefly explain the problem, root cause, resolution, and what was done to prevent recurrence.
- Automation: Describe one infrastructure or operational process you personally automated. What was manual before, what did you build, and what impact did it create?
- Architecture Ownership: Describe one cloud/infrastructure architecture that you personally designed or significantly improved. Mention the problem, key technical decisions, and outcome.

Significant Providing the above information is part of our initial screening process. Applications with incomplete Candidate Details or without responses to the Technical Experience questions may not be considered for shortlisting.

We do not expect lengthy answers. Concise, specific responses based on your actual hands-on experience are preferred.

If you have strong production engineering fundamentals and enjoy solving complex infrastructure problems, we encourage you to apply even if you do not meet every preferred skill listed in the .

📌 Senior Cloud Infrastructure Engineer – Mumbai / Hybrid
🏢 compoundexpress
📍 Mumbai