Teleport

Air logistics and cross-border delivery network

System Reliability Engineer / T2 Support Engineer

Site Reliability EngineeringPosted on Nov 13

Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

Good understanding of Linux commands and server behavior.
Experience analyzing application logs and debugging runtime issues.
Basic Java knowledge, including reading stack traces, changing configurations, rebuilding, and deploying.
Practical experience with MongoDB indexes, connections, and slow queries.
Understanding of Kafka concepts, including consumers, offsets, lag, and partitions.
Basic Redis knowledge, including caching behavior and time to live (TTL).
Hands-on experience with any cloud platform; Google Cloud Platform is preferred, and Amazon Web Services is acceptable.
Experience using monitoring tools such as Google Cloud Monitoring, Prometheus, Grafana, ELK, or similar tools.
Understanding of REST APIs and HTTP status codes.
Ability to investigate problems logically rather than randomly restarting services.
Comfort working with live production systems.
Willingness to participate in on-call support.
Ability to take ownership and pay close attention to detail.
Good communication during incidents.
Three to six years of relevant experience in production support, application support, site reliability engineering, DevOps operations, or similar roles.

Responsibilities

Monitor application health, latency, errors, consumer lag, database connections, and resource utilization.
Acknowledge and investigate monitoring alerts.
Perform first-level troubleshooting and stabilize services.
Identify whether issues relate to infrastructure, applications, databases, or messaging.
Participate in an on-call rotation.
Diagnose production incidents and restore services with minimal downtime.
Safely restart services, scale instances, or roll back deployments when required.
Communicate incident status to stakeholders.
Handle technical support tickets that require engineering understanding.
Update configurations and feature flags.
Manage scheduled jobs and cron triggers.
Trigger or replay events in Kafka.
Assist with minor Java configuration or code fixes when needed.
Coordinate production releases.
Investigate MongoDB performance issues and slow queries.
Monitor and resolve Kafka consumer lag and stuck messages.
Manage Redis cache behavior, including time to live (TTL), eviction, and connection issues.
Analyze logs and metrics to determine root causes of issues.
Prepare basic root cause analysis (RCA) reports.
Suggest preventive actions to reduce recurring incidents.

Desired Qualifications

Experience in e-commerce, fintech, logistics, or high-traffic systems.
Exposure to continuous integration and continuous delivery (CI/CD) pipelines and deployments.
Basic scripting in Shell or Python.
Experience writing root cause analysis (RCA) documents.

System Reliability Engineer / T2 Support Engineer

Teleport · Gurugram, India · — · Posted 2026-11-13

Workplace: on_site

Department: TNX

Description

About the Role

We are looking for an engineer who enjoys understanding how systems behave in real production, not just writing features. This role is responsible for maintaining reliability, stability, and smooth functioning of our live platform running on Google Cloud.

You will act as the first technical owner of production systems — monitoring services, investigating alerts, resolving issues, and performing controlled configuration and operational changes. This role works closely with backend developers, QA, and infrastructure teams to prevent incidents and reduce downtime.

This is not a call-center support role and not a pure development role — it is a hands-on technical position focused on debugging, incident handling, and system operations.

Tech Stack

Google Cloud Platform (Compute, Logging, Monitoring)
Java (Spring Boot based microservices)
MongoDB
Apache Kafka (event-driven architecture)
Redis cache
Linux servers

Key Responsibilities

Production Monitoring & Alert Handling

Monitor application health, latency, errors, consumer lag, database connections, and resource utilization
Acknowledge and investigate monitoring alerts
Perform first-level troubleshooting and stabilize services
Identify whether issue is infra, application, database, or messaging related

Incident Response

Participate in on-call rotation
Diagnose production incidents and restore services with minimal downtime
Safely restart services, scale instances, or rollback deployments when required
Communicate incident status to stakeholders

Technical Support & Operational Changes

Handle technical support tickets requiring engineering understanding
Update configurations and feature flags
Manage scheduled jobs / cron triggers
Trigger or replay events in Kafka
Assist in minor Java configuration/code fixes when needed
Coordinate production releases

Database & Messaging Operations

Investigate MongoDB performance issues and slow queries
Monitor and resolve Kafka consumer lag and stuck messages
Manage Redis cache behavior (TTL, eviction, connection issues)

Logs & RCA

Analyze logs and metrics to determine root cause of issues
Prepare basic Root Cause Analysis (RCA) reports
Suggest preventive actions to reduce recurring incidents

Requirements

Required Skills

Core Technical Skills

Good understanding of Linux commands and server behavior
Experience analyzing application logs and debugging runtime issues
Basic Java knowledge (stack trace reading, configuration changes, rebuild & deploy)
Practical experience with MongoDB (indexes, connections, slow queries)
Understanding of Kafka concepts (consumer, offset, lag, partitions)
Basic Redis knowledge (caching behavior, TTL)

Cloud & Tools

Hands-on experience with any cloud platform (GCP preferred / AWS acceptable)
Experience using monitoring tools (GCP Monitoring, Prometheus, Grafana, ELK, or similar)
Understanding of REST APIs and HTTP status codes

What We Expect From You

Ability to investigate problems logically rather than randomly restarting services
Comfort working with live production systems
Willingness to participate in on-call support
Strong ownership mindset and attention to detail
Good communication during incidents

Good to Have

Experience in e-commerce, fintech, logistics, or high-traffic systems
Exposure to CI/CD pipelines and deployments
Basic scripting (Shell or Python)
Experience writing RCA documents

Experience

3 – 6 years of relevant experience in production support, application support, SRE, DevOps operations, or similar roles.

Benefits

Why Join Us

Direct exposure to real distributed systems
Hands-on production debugging experience
Opportunity to learn system architecture deeply
Close interaction with development and platform teams

Important Note

This role involves handling live production systems and occasional on-call responsibilities. Candidates interested only in feature development or pure infrastructure automation may not find this role suitable.

Apply

Apply at Teleport

About the Company

Teleport

Air logistics and cross-border delivery network

Teleport moves cross-border air logistics in Southeast Asia by combining AirAsia cargo space with its own freighters and capacity from partner airlines to offer fast, cost-effective shipments for businesses. It works with a hybrid network: exclusive access to AirAsia’s cargo space, owned freighters, and capacity from over 40 partners to create a wide network, handling end-to-end logistics from pickup to last-mile delivery, with some markets operating their own ground sorting, trucking, and customs clearance. It differentiates itself through an asset-light model that lowers costs by using both owned assets and partner capacity, enabling faster, price-competitive service with end-to-end visibility across its network. Its goal is to simplify and speed up cross-border logistics in Southeast Asia by providing reliable, affordable, and scalable air freight and e-commerce delivery solutions.

Company size: 501-1,000
Company stage: Growth Equity (Venture Capital)
Total funding: $100M
Headquarters: Batu Caves, Malaysia
Founded: 2019

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