performance Testing

Senior DevOps Engineer

AWS Infrastructure, Kubernetes & Production Operations

📍 Mumbai (On-site) | Full-time | 5-8 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior DevOps Engineer for a dedicated client engagement building an AI platform that turns a written prompt into a working, deployed web application.

The platform runs entirely on our own Kubernetes on AWS in Mumbai: multiple clusters, self-hosted Kafka, PostgreSQL, Redis and a complete observability stack, with untrusted AI-generated code executing inside isolated sandboxes.

This role owns that infrastructure end to end.

The mandatory requirement is hands-on production ownership of self-managed Kubernetes and self-hosted stateful services.

This is not a managed-services role: almost nothing here is a click in a console, and there is no platform team above you to escalate to.

You will pair daily with the Tech Architect who owns the architecture, and you own its execution, which covers clusters, networking, pipelines, observability, isolation, and the monthly cloud bill as a number you can explain line by line.

The role carries a deliberate path into LLM infrastructure over the first year, and we are saying so up front because we want someone who wants that direction.

A typical week includes rehearsing a cluster upgrade in a lower environment, tracing an unexplained cost line to its source, tuning autoscaling so non-production shuts down cleanly overnight, and hardening the boundary that keeps AI-generated code away from everything else.

Responsibilities:

Kubernetes Platform Ownership

Own multiple EKS clusters separated by trust boundary, covering platform services, messaging, sandboxed build environments, and hosting for customers' published applications.

Node pools, taints and tolerations, resource requests versus limits, pod disruption budgets, and the scheduling decisions that determine whether a cluster is efficient or merely large.

Plan and execute version upgrades without customer-visible downtime.

Infrastructure as Code

Everything in Terraform, with no console changes that are not in code.

Build reusable cluster modules rather than copies.

Keep state and reality in sync, and treat drift as a defect.

CI/CD and Release Engineering

Own the GitHub Actions pipelines and self-hosted runners: OIDC-based AWS authentication with no stored credentials, image builds, and rollouts across development, QA and UAT.

Move manifest templating from scripted substitution to Kustomize or Helm.

Make a rollback as routine as a deploy.

Network Architecture and Workload Isolation

VPC and subnet design, ingress through load balancers and service mesh, and eBPF-based network policy.

The platform runs code we did not write, so the isolation boundary is a primary deliverable: default-deny egress, kernel-level sandboxing for untrusted workloads, no platform credentials inside tenant pods, and one project per pod with nothing shared between customers.

Observability

Operate a self-hosted stack of Prometheus, Grafana, Loki, Tempo, OpenTelemetry and Alertmanager.

Build alerts engineers trust rather than mute.

Know what belongs in a metric, a log and a trace, and keep metric cardinality under control as tenant count grows.

Autoscaling and Capacity

Node autoscaling with Karpenter, and workload autoscaling on the signal that actually matters, which is queue depth or a schedule rather than CPU wherever CPU misleads.

Implement scale-to-zero across non-production and warm-pool patterns where cold starts are unacceptable.

Size capacity from measurement, not assumption.

Cost Operations

Own the cloud bill as an engineering artifact.

Attribute spend per cluster and per environment, right-size against real utilisation, apply Spot where interruption is safe and never where it is not, and investigate any line you cannot explain.

Instance family selection is a cost decision: match the family to the resource that binds first.

Self-Hosted Stateful Services

Operate Kafka, PostgreSQL and Redis in-cluster, covering persistence, replication, failover, upgrades, and backups you have actually restored from.

Rehearse the restore and record how long it took.

Security Posture

IAM and workload identity, migration away from static credentials, secret management, web application firewall rules, and closing the gaps you find.

Credential rotation and least privilege are ongoing work, not a one-time project.

AI Infrastructure (Growth Path)

Within the first year, take on the infrastructure serving AI workloads: multi-provider LLM gateway and routing, token and cost attribution, rate-limit-aware capacity planning, LLM tracing with Langfuse, vector databases such as pgvector and Qdrant, and self-hosted embedding models including GPU nodes on Kubernetes.

This is inference operations, not model training.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on Production Ownership of Self-Managed Kubernetes (Mandatory)

Must have personally operated a production Kubernetes estate with operational responsibility including oncall, incident response, and upgrade ownership.

You understand why a cluster ends up over-provisioned and how to fix it.

Managed-platform-only experience, or Kubernetes limited to deploying into a cluster someone else runs, does not qualify.

5+ Years of Overall Engineering Experience

With at least 3 years in DevOps, SRE, or platform engineering.

This is not an ML science role.

A strong infrastructure background with genuine appetite for AI infrastructure is exactly the profile we want.

Proven Ability to Learn an Unfamiliar Technology to Production Depth

We are hiring for trajectory as much as for current tooling, so this carries real weight.

Be ready to walk us through something you picked up from scratch and then owned in production: what you got wrong in the first attempt, how you found out, and what you would do differently.

A candidate with a shorter tool list and a strong record of learning will be preferred over a longer list learned only at the surface.

Self-Hosted Stateful Services in Production

One or more of Kafka, PostgreSQL, Redis, or Elasticsearch operated by you, not by a managed service.

Backups, restores, failover, and version upgrades.

This matters more than any other line here, because almost everything we run, we run ourselves.

Infrastructure as Code Depth

Terraform in anger, including modules, state management, and recovering from drift.

Docker and image optimisation.

AWS at Depth

EKS, EC2, VPC, IAM, S3, RDS or Aurora, and load balancing.

You can read a bill and explain where the money went.

Networking Depth

VPC and subnet design, NAT and egress paths, load balancer behaviour, DNS, TLS, and Kubernetes networking.

Able to reason about address exhaustion and routing limits before they are hit rather than after.

Observability Depth

Production experience with Prometheus, Grafana, and a log or trace backend.

Comfortable instrumenting with OpenTelemetry.

Able to define alerts that are actionable and to resist the cardinality that makes a metrics system collapse.

CI/CD and Deployment Automation

Strong with GitHub Actions or GitLab CI, including self-hosted runners and short-lived cloud credentials.

Experience making deploys and rollbacks safe and routine.

Cost Management for Cloud Infrastructure

Demonstrated ownership of a cloud bill: right-sizing, reserved capacity or savings plans, Spot strategy, and tracing an anomaly to its cause.

Reliability Engineering

Comfortable defining SLOs and being accountable for them.

Experience with graceful shutdown, connection draining, disruption budgets, and long-lived connections such as WebSockets that autoscaling can otherwise sever.

Nice to Have:

• arm64 and Graviton estates
• eBPF networking with Cilium
• container runtime isolation such as gVisor, Kata, or Firecracker
• Kafka operations including partition and consumer-group management
• service mesh with Istio
• GPU workloads on Kubernetes
• hands-on familiarity with LLM observability tooling such as Langfuse or LangSmith
• India data-protection and residency requirements under the DPDP Act
• AWS certifications

Greetings From NAM

Job Title: Senior EUC Engineer – SCCM / Intune Administrator

Location: Bangalore

Experience: 8–10 Years

Primary Skills: SCCM, Microsoft Intune, PowerShell, 1E, Application Packaging, Driver Packaging

Job Summary

We are looking for a highly skilled Senior EUC Engineer with 8–10 years of experience in Endpoint Management. The ideal candidate should have strong expertise in Microsoft Intune, SCCM, PowerShell scripting, 1E, Application Packaging, and Driver Packaging, with a strong automation mindset. The candidate will be responsible for managing enterprise endpoint environments, application deployments, operating system lifecycle, and automation initiatives.

Key Responsibilities

• Administer and manage enterprise endpoint environments using Microsoft Intune and SCCM (Microsoft Endpoint Configuration Manager).
• Develop and maintain PowerShell scripts to automate endpoint management and operational tasks.
• Create, test, and deploy Application Packages using industry-standard packaging tools.
• Perform Driver Packaging and maintain driver repositories for enterprise devices.
• Utilize 1E solutions for endpoint automation, software deployment, compliance, and device management.
• Design and implement automation solutions to improve operational efficiency.
• Manage software distribution, patch management, OS deployment, and endpoint compliance.
• Troubleshoot endpoint deployment, packaging, and device management issues.
• Collaborate with infrastructure, security, and support teams to ensure endpoint stability and compliance.
• Maintain documentation, deployment standards, and operational procedures.

Essential Skills

• 8–10 years of experience in Endpoint Management.
• Strong expertise in Microsoft Intune.
• Strong hands-on experience with SCCM (MECM).
• Advanced PowerShell scripting skills.
• Experience with 1E endpoint management solutions.
• Strong experience in Application Packaging.
• Experience in Driver Packaging and deployment.
• Strong automation mindset with scripting and process optimization.
• Excellent troubleshooting and problem-solving skills.

Preferred Skills

• Windows 10/11 Administration.
• Microsoft Autopilot.
• Azure Active Directory (Azure AD/Entra ID).
• Microsoft Endpoint Manager.
• Group Policy (GPO).
• ITIL process knowledge.
• Experience with enterprise endpoint security and compliance.

Mandatory Skills

• SCCM (MECM)
• Microsoft Intune
• PowerShell
• 1E
• Application Packaging
• Driver Packaging
• Endpoint Automation

We are seeking a skilled and experienced Senior Salesforce Developer to manage our 

Salesforce Sales applications. The ideal candidate will possess a deep understanding of 

Salesforce functionalities, including Lightning web component development, API principles, 

and integration architecture. This role involves collaborating with cross-functional teams, 

implementing tailored solutions, and ensuring compliance with industry best practices while 

delivering high-quality Salesforce implementations.  

Key Responsibilities:  

• Solution Design and Implementation: Design, build, and deliver tailored solutions using 

Salesforce and related technologies to meet business needs.  

• Administration and Maintenance: Provide daily administration, troubleshooting, and 

maintenance for the connected Salesforce platform. 

 • Custom Development: Develop using Lightning web components and maintain custom 

solutions in Salesforce Lightning. 

 • Testing and Reporting: Support build-out of reports and dashboards, ensuring data accuracy 

and integrity. 

 • Documentation and Standards: Provide technical specifications and maintain 

comprehensive documentation, adhering to security and organizational standards.  

• Collaboration: Work with development teams to design and deploy Salesforce applications, 

integrating with other platforms as required. 

 • Compliance and Architecture: Ensure all solutions align with Salesforce best practices, 

enterprise architecture frameworks, and governance models. Primary Skills: • Expertise in 

Salesforce platform functionalities, including Lightning framework, Sales Cloud, and Service 

Cloud.  

• Proficiency in REST API principles and API development, deployment, and governance. • 

Strong understanding of system and data integration architecture and relational databases 

(MySQL, SQL Server, Oracle, etc.). 

 • Knowledge of software development methodologies (Agile, Waterfall). Secondary Skills: 

 • Experience with Oracle CRM tools like Eloqua or Fusion Sales and Service (preferred). • 

Salesforce certifications (e.g., Admin, Sales or Service Cloud Consultant).  

Qualifications: • Bachelor’s degree in Engineering or a related field. 

 • 4+ years of experience in Salesforce implementation and managing a team.  

• Proven knowledge of Salesforce architectural concepts and functional roles. 

 • Strong communication, problem-solving, and analytical skills

Requirements & Skills:

Experience: Minimum 1 year of experience in real estate sales or telesales, preferably with a CP (Channel Partner) company.

Sales Success: Ability to meet or exceed sales quotas.

Lead Conversion: Strong skills in generating leads and converting them into clients.

Communication: Proficiency in English and excellent interpersonal skills.

Resilience: Ability to handle rejection and stay motivated.

Negotiation: Strong negotiation skills to close deals and resolve client issues.

This position is for a tester with strong coding skills who likes challenges - someone who is constantly striving for excellence in software test automation.

Responsibilities include:

• Develop automated test cases on a day-to-day basis
• Gather and prioritize user requirements, feed these requirements into overall Automation Framework requirements and test plans
• Train team members on tool use and test automation tools, practices, techniques and best practices
• Communicate cross-functionally throughout the engineering organization
• Continuously monitor and boost test coverage across the product

Minimum Job Qualifications:

• Bachelor’s degree or better in CS or related field, with 3+ years experience in software test.
• Exposure to best practices in SQA including code reviews, debugging, troubleshooting and CI processes
• Experience in backend Testing using Java, API-Testing,Rest assured ,and Performance testing using Jmeter
• Excellent communications and technical presentation skills
• Initiative to research and build solutions to tough problems in domains like Flash, OpenGL, WebGL where off-the-shelf automation tools might not be available
• Some experience/comfort with working in a Linux/Unix environment
• Excellent analytical, problem-solving, troubleshooting skills.

Preferred (Bonus) Qualifications:

• Knowledge of current build and test automation tools and processes, such as JUnit/TestNG, Maven, Jenkins, Mockito, JBehave, Git, etc
• Experience with whitebox testing, code reviews, SDK testing
• Experience with performance testing, stress testing, and advanced aspects of system testing automation.
• Knowledge of at least one scripting language (Python, Bash, Ruby or comparable).

Job description :

Functional a. Build client relationship

1. Manage Development and Delivery of technical solutions
2. Manage ways to work across departments including outsource partner
3. Deep dive into Technical integration, content ingestion & reporting of viewership & revenue numbers et.al.
4. Support and maintain technology development strategy
5. Aligning Solutions with architecture
6. Develop coding standards
7. Requirement understanding
8. Provide technical leadership and innovation across all aspects of technology development including Engineering, Bas, QAs, UI/UX etc.
9. Manage delivery teams which includes recruit hire, train, supervise, coach and mentor
10. Project Management Skills
11. Manage Deadlines
12. Manage Deliveries
13. Manage Customers
14. Multitasking
15. Reporting – Customers / ELT
16. Assist in talent acquisition
17. Applying Agile principles in delivery
18. Upto date with latest technology and innovation
19. Good communicator
20. Good understanding of CDN

1. Technical Documentation
2. Coding Best Practices a. Guidelines for Coding Best Practices
3. Cloud Best Practices

1. Tech. Stack Selection
2. Code Review
3. Regression, Functional and Automation QA
4. Caching technologies
5. Tech. Approval & Sign-Off
6. Site / App Performance a. Load & Performance testing
7. Automation testing
8. Code Coverage

1. Code walk-thru
2. System Upgrade
3. Effort Estimation
4. R&D
5. Technical Evaluation a. RFP technical evaluation

1. Deployment
2. Integration
3. Assist in resolving Technical Problems
4. Map Security & Compliance
5. Support Project Management
6. Support DevOps
7. Conducting Technical

REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.

 Duties and Responsibilities :

• Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
• Build, release, and configuration management of production systems.
• System troubleshooting and problem-solving across platform and application domains.
• Suggesting architecture improvements, recommending process improvements.
• Evaluate new technology options and vendor products.
• Function well in a fast-paced, rapidly-changing environment
• Communicate effectively with people at all levels of the organization

Qualifications and Required Skills:

• Overall 3+ years of experience in various software engineering roles.
• 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
• Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
• Expertise in any of the programming languages – (NodeJS or Python preferable)
• Must have hands-on experience in using AWS/Azure - SDK/APIs.
• Must have experience in deploying, releasing, and managing production systems
• MCA or a degree in engineering in Computer Science, IT, or Electronics stream