DevOps SDE llI - Cloud Engineer

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Indiranagar, Bengaluru (Work From Office – 5 Days)

Employment Type : Full-Time

Work Timings : 11:00 AM to 7:00 PM IST

Notice Period : Immediate Joiners Preferred

Role Overview :

We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.

The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.

This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.

Key Responsibilities :

• Design, deploy, and manage scalable infrastructure using Kubernetes.
• Build and maintain CI/CD pipelines for efficient and automated deployments.
• Manage and optimize cloud environments (preferably GCP).
• Implement Infrastructure as Code using Helm/Terraform.
• Monitor system performance and ensure high availability and reliability.
• Handle bug fixes, system improvements, and performance optimization.
• Collaborate with engineering teams to design scalable microservices architecture.
• Implement logging, monitoring, and alerting solutions.
• Ensure security best practices including IAM, secrets management, and network policies.

Mandatory Skills :

• Strong hands-on experience with Kubernetes.
• Expertise in Helm Charts.
• Experience with Google Cloud Platform (GCP).
• Hands-on experience with ArgoCD or similar CI/CD tools.
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
• Experience in database hosting and scaling.

Nice to Have :

• Exposure to other cloud platforms (AWS/Azure).
• Experience with modern DevOps and automation tools.
• Ability to quickly learn and adapt to new technologies.

Team & Work Scope :

• No dedicated DevOps team currently – high ownership role.
• Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
• Opportunity to shape DevOps practices and infrastructure from scratch.

Preferred Candidate Profile :

• 3+ years of relevant DevOps experience.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced startup environments.
• Understanding of scalability, security, and performance optimization.
• Good communication and collaboration skills.

Hiring Process :

1. Profile Screening
2. GT Assessment
3. Technical Interview – Round 1
4. Technical Interview – Round 2
5. Final Round (if required with US team)

Job Title : DevOps Engineer – Fintech (Product-Based)

Experience : 5+ Years

Location : Mumbai

Job Type : Full-Time | Product Company

Role Summary :

We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.

The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.

Mandatory Skills :

Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.

Key Responsibilities :

• Deploy and manage stateful microservices in production.
• Handle both managed & self-managed Kubernetes clusters.
• Develop and maintain custom Helm Charts.
• Implement GitOps pipelines using ArgoCD/FluxCD.
• Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
• Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
• Design multi-tenant cluster deployments.
• Manage HA, load balancers, certificates, DNS, and networking.

Mandatory Skills :

• Product-based company experience.
• Strong Kubernetes (EKS/AKS/GKE + self-managed).
• Custom Helm Chart development.
• GitOps tools : ArgoCD/FluxCD.
• AWS/Azure cloud networking & security.
• IaC module development (Terraform/Pulumi/CloudFormation).
• Experience with stateful components (DBs, queues, caches).
• Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.

Job Summary

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities

1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.

2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.

3. Design and develop etl processes, data models, and data integration solutions.

4. Provide technical guidance and mentorship to the team members.

5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.

6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.

7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.

2. Strong experience with sql and oracle pl/sql for data querying and manipulation.

3. Advanced programming skills in python for scripting and data processing tasks.

4. Knowledge of data modeling, data warehousing concepts, and database design principles.

5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.

6. Strong analytical and problem-solving skills with attention to detail.

7. Experience in data visualization tools and techniques is a plus.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Skill (Primary)

Data Fabric-Azure-Azure Data Factory (ADF)

Position Responsibilities :

Deltek ComputerEase is a cloud-hosted construction ERP serving specialty, general, and service contractors across North America. The platform is delivered as a managed SaaS service on AWS, with every customer session running through a Citrix Virtual Apps environment that our team owns end-to-end. 

We are looking for a Senior DevOps Engineer with deep Citrix expertise to own the delivery, automation, and operational reliability of this platform. This is a senior individual-contributor role for an engineer who can operate independently, set technical direction, and act as the go-to authority for Citrix on the team. You'll keep a multi-tenant production environment running reliably, drive architectural improvements, and raise the bar for how the team automates and operates its infrastructure. 

Deltek is an AI-first company. That means AI is not a side project — it is embedded in how we build, operate, and deliver our products. On this team, you'll use AI-assisted tooling as a standard part of how infrastructure is designed, code is written, incidents are diagnosed, and runbooks are maintained. We expect every engineer to be fluent in AI-assisted workflows and to actively look for opportunities to apply them. 

Qualifications :

Citrix Infrastructure (Primary Focus) 

1. Manage the full Citrix Virtual Apps stack in production: ADC/NetScaler (HA pairs), StoreFront, Delivery Controllers, Virtual Delivery Agents (VDAs), and Citrix Director 
2. Own ADC/NetScaler configuration: Unified Gateway, nFactor multi-factor authentication, ICA proxy, SSL certificate lifecycle, load balancing, and session policies 
3. Manage Machine Catalog and Delivery Group lifecycle using Machine Creation Services (MCS) on AWS, including golden image build and update workflows 
4. Administer StoreFront server groups: upgrades, propagation, subscription sync, and availability 
5. Manage user profile solutions using FSx with cloud file storage; troubleshoot profile issues, slow logons, and session reliability 
6. Own Citrix licensing: maintain license server health and manage the transition to License Activation Service (LAS) 
7. Monitor session health and performance via Citrix Director; serve as the escalation point for Citrix incidents 

Technical Leadership 

• Act as the team's subject-matter authority on Citrix — the person others escalate to for the hardest delivery and session problems 
• Set technical direction for the Citrix and AWS infrastructure: evaluate options, make architectural recommendations, and drive them to implementation 
• Mentor other engineers, review their work, and raise the team's overall capability in Citrix, AWS, and automation 
• Lead post-incident reviews and drive systemic fixes that prevent recurrence rather than one-off patches 
• Influence roadmap and prioritization for infrastructure work in partnership with engineering leadership 
• 8+ years of hands-on Citrix Virtual Apps and Desktops (CVAD) administration in a production environment, including ownership of a production estate at scale 
• 8+ years of AWS infrastructure experience: EC2, RDS, VPC design, Security Groups, IAM, SSM Parameter Store, Secrets Manager 
• Track record of operating independently and owning infrastructure decisions end-to-end with minimal oversight 
• Experience mentoring engineers and influencing technical direction across a team.

Location : Bangalore Remote.

Review Criteria

• Strong DevOps /Cloud Engineer Profiles
• Must have 3+ years of experience as a DevOps / Cloud Engineer
• Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
• Must have strong hands-on experience in Linux administration and system management
• Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
• Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
• Must be proficient in scripting languages such as Python or Bash for automation
• Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
• Top tier Product-based company (B2B Enterprise SaaS preferred)

Preferred

• Experience in multi-tenant SaaS infrastructure scaling.
• Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.

Role & Responsibilities

We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.

Key Responsibilities:

• Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
• Build and optimize CI/CD pipelines to support rapid release cycles.
• Manage containerization & orchestration (Docker, Kubernetes).
• Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
• Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
• Drive cloud security automation (IAM, SSL, secrets management).
• Partner with engineering teams to embed DevOps into SDLC.
• Troubleshoot production issues and drive incident response.
• Support multi-tenant SaaS scaling strategies.

Ideal Candidate

• 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
• Strong expertise in AWS, Azure, or GCP.
• Strong expertise in LINUX Administration.
• Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
• Proficient in Terraform/Ansible/CloudFormation.
• Strong scripting skills (Python, Bash).
• Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
• Strong grasp of cloud security best practices.

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

About the Role:

We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.

Key Responsibilities:

Cloud Management:

• Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
• Ensure high availability, scalability, and security of cloud resources.

Containerization & Orchestration:

• Develop and manage containerized applications using Docker.
• Deploy, scale, and manage Kubernetes clusters.

CI/CD Pipelines:

• Build and maintain robust CI/CD pipelines to automate the software delivery process.
• Implement monitoring and alerting to ensure pipeline efficiency.

Version Control & Collaboration:

• Manage code repositories and workflows using Git.
• Collaborate with development teams to optimize branching strategies and code reviews.

Automation & Scripting:

• Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
• Write scripts to optimize and maintain workflows.

Monitoring & Logging:

• Implement and maintain monitoring solutions to ensure system health and performance.
• Analyze logs and metrics to troubleshoot and resolve issues.

Required Skills & Qualifications:

• 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
• Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
• Hands-on experience building and managing CI/CD pipelines.
• Proficient in using Git for version control.
• Experience with scripting languages such as Bash, Python, or PowerShell.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and system administration.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with serverless architectures and microservices.

Required qualifications and must have skills  

• 5+ years of experience managing a team of 5+ infrastructure software engineers 

• 5+ years of experience in building and scaling technical infrastructure 

• 5+ years of experience in delivering software 

• Experience leading by influence in multi-team, cross-functional projects 

• Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers 

• Experience with cloud service providers such as AWS, GCP, or Azure 

• Experience with containerization technologies such as Kubernetes and Docker 

Nice to have Skills   

• Experience with Hadoop, Hive and Presto 

• Application/infrastructure benchmarking and optimization 

• Familiarity with modern CI/CD practices 

• Familiarity with reliability best practices 

• Strong communication skills (written and verbal)
• Responsive, reliable and results oriented with the ability to execute on aggressive plans
• A background in software development, with experience of working in an agile product software development environment
• An understanding of modern deployment tools (Git, Bitbucket, Jenkins, etc.), workflow tools (Jira, Confluence) and practices (Agile (SCRUM), DevOps, etc.)
• Expert level experience with AWS tools, technologies and APIs associated with it - IAM, Cloud-Formation, Cloud Watch, AMIs, SNS, EC2, EBS, EFS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, Lambda, VPC etc.
• Hands on experience with Kubernetes (EKS preferred)
• Strong DevOps skills across CI/CD and configuration management using Jenkins, Ansible, Terraform, Docker.
• Experience provisioning and spinning up AWS Clusters using Terraform, Helm, Helm Charts
• Ability to work across multiple projects simultaneously
• Ability to manage and work with teams and customers across the globe