SRE with production support

Experience: 8+ Years

Location: Hyderabad / Bangalore

Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge

Job Description:

• Provide production support for mission-critical applications, including incident management, troubleshooting, RCA, deployments, monitoring, and service restoration.
• Implement SRE practices to improve system reliability, availability, and performance.
• Support AI/ML platforms and GPU infrastructure; knowledge of GenAI and AI/ML workloads is preferred.
• Automate repetitive support activities using Python and Shell scripting.
• Monitor systems using tools such as Splunk and AppDynamics.
• Identify performance bottlenecks and drive continuous improvement.
• Collaborate with infrastructure, application, and business teams to resolve production issues.

Required Skills:

• 8+ years of experience in Production Support and SRE.
• Strong Linux/Unix administration and troubleshooting skills.
• Experience with incident management, RCA, monitoring, and automation.
• Knowledge of AI/ML platforms, GPU infrastructure, and GenAI concepts.
• Python/Shell scripting knowledge.
• Exposure to Hadoop, Spark, or Elasticsearch is an advantage.
• Willingness to work in 24x7 shifts.
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Site reliability engineer - Experience: 8+ Years

Location: Hyderabad / Bangalore

Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge

Role Overview

We are looking for an experienced **Site Reliability Engineer (SRE) / Production Support Engineer** with strong expertise in application/production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The candidate will be responsible for ensuring the **availability, reliability, and performance of production applications**, troubleshooting critical issues, monitoring systems, and supporting production deployments.

#### Key Responsibilities & Skills

- Strong experience in **Application / Production Support**.

- Hands-on experience in **Production Issue Handling and Incident Management**.

- Experience in **Batch Monitoring** and production monitoring activities.

- Good understanding of **Network, Load Balancing, and Database-related issues**.

- Strong understanding of **SLI, SLO, Error Budget, and Burn Rate concepts**.

- Hands-on experience with **Splunk queries and dashboard creation/monitoring**.

- Experience with **APM (Application Performance Monitoring) tools**.

- Experience supporting **Production Deployments**, including **Blue-Green and Canary deployments**.

- Good knowledge of **Cloud Operations**.

- Hands-on experience with **Docker, Kubernetes, and Terraform/IaC**.

- Strong knowledge of **Linux/Windows administration and shell scripting**.

- Experience with **Windows administration and scripting**.

- Knowledge of **Python scripting/automation**.

- Exposure to **GenAI tools such as GitHub Copilot, Claude, or similar tools** for day-to-day operational activities.

- Strong troubleshooting, problem-solving, and incident-resolution skills.

Shift Timings

The role involves rotational shifts:

Job Description

Role: Site Reliability Engineer (SRE)

Experience: 8+ Years

Location: Bangalore

Notice Period: Immediate Joiners Only

Key Responsibilities

• Implement reliability practices across applications and cloud platforms.
• Monitor and troubleshoot production systems using observability tools.
• Manage incidents, perform root cause analysis (RCA), and prepare post-incident reports.
• Develop and maintain CI/CD pipelines and automate operational tasks.
• Improve system availability, performance, scalability, and operational stability.
• Develop proof-of-concepts and convert them into production-ready solutions.
• Collaborate with engineering teams to improve reliability and reduce operational toil.
• Use AI tools responsibly to enhance operational efficiency and productivity.

Required Skills

• Strong SRE fundamentals and production support experience.
• Hands-on experience with AWS cloud services and best practices.
• Observability tools: Splunk, Grafana, and Datadog.
• Understanding of metrics, logs/events, and distributed tracing.
• Familiarity with Amazon Connect and contact center technologies, including voice, call recording, and telephony.
• CI/CD tools: Jenkins/Jules; source control: Git/Bitbucket.
• Scripting and automation skills are preferred.
• Experience in incident management, troubleshooting, and RCA documentation.
• Cloud certification or experience supporting cloud-based applications.
• Familiarity with AI concepts and responsible AI tool usage.

About the Role

We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.

This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.

This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.

Responsibilities

• Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
• Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
• Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
• Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
• Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
• Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
• Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
• Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.

Qualifications

• Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
• Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
• Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
• Advanced knowledge of Kubernetes and Terraform in production environments.
• Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
• Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
• Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
• Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
• Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
• Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
• Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
• Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for 

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

Site Reliability Engineer (SRE) / Production Support Engineer

Experience: 5–10 Years

Location: Hyderabad

Work Mode: Face-to-Face Drive

Shift: Rotational Shifts

Job Description

Looking for an experienced SRE / Production Support Engineer with strong experience in application and production support, incident management, monitoring, troubleshooting, and cloud operations.

Key Skills

Production Support, Incident Management, Splunk, APM, SLI/SLO, Cloud, Kubernetes, Docker, Terraform, Linux/Windows Administration, Shell Scripting and Python.

Good understanding of production deployments, batch monitoring, network/load balancing, and troubleshooting is required.

Candidates from SRE, Production Support, Application Support, Cloud Operations, or DevOps backgrounds are preferred.

Job Summary

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

Key Responsibilities

• Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
• Handle production incidents, troubleshoot issues, and perform root cause analysis.
• Manage and automate infrastructure deployment and operational tasks.
• Work with CI/CD pipelines and container orchestration platforms.
• Implement monitoring, alerting, and observability solutions.
• Collaborate with development and operations teams to improve system reliability.
• Support cloud infrastructure, Linux environments, and production deployments.
• Identify recurring issues and implement preventive measures to reduce downtime.

Job Title: L2 GCP Cloud Infrastructure & Operations Engineer

Experience: 3–6 Years

Location: Pune

Employment Type: Full-time

Job Overview

We are looking for an experienced L2 GCP Cloud Infrastructure & Operations Engineer with strong hands-on experience managing, monitoring, and troubleshooting Google Cloud Platform infrastructure in a production environment.

The ideal candidate should have practical experience in Compute Engine, Linux administration, GCP networking, incident management, and cloud infrastructure troubleshooting.

Key Responsibilities

• Manage and troubleshoot GCP infrastructure, including Compute Engine VMs, disks, snapshots, and cloud resources.
• Perform Linux system administration, OS patching, security updates, and performance troubleshooting.
• Configure and troubleshoot GCP networking components, including VPCs, subnets, firewall rules, routes, Cloud NAT, VPN, DNS, and load balancing.
• Handle L2 production incidents, service requests, escalations, root-cause analysis (RCA), and SLA commitments.
• Monitor infrastructure using Google Cloud Monitoring and Cloud Logging; investigate alerts and resolve service issues.
• Administer IAM roles, service accounts, permissions, and infrastructure security controls.
• Support backup, restoration, disaster recovery, and high-availability operations.
• Automate infrastructure provisioning and operational tasks using Terraform, Ansible, Bash, or Python.
• Maintain technical documentation, operational procedures, and incident reports.

Required Skills

• 3–6 years of experience in cloud infrastructure, cloud operations, or production support.
• Hands-on production experience with Google Cloud Platform (GCP).
• Strong knowledge of Compute Engine, Linux administration, and infrastructure troubleshooting.
• Practical understanding of VPC networking, firewall rules, routing, NAT, VPN, and load balancing.
• Experience handling production incidents, troubleshooting, RCA, and SLA-driven support.
• Familiarity with Cloud Monitoring, Cloud Logging, IAM, backup, and recovery procedures.
• Working knowledge of Terraform, scripting, or configuration management tools.

Preferred Skills

• Google Associate Cloud Engineer or Professional Cloud certifications.
• Experience supporting enterprise production environments.
• Exposure to Kubernetes/GKE, CI/CD pipelines, and infrastructure automation.

Important Candidate Requirement

Candidates must have practical, hands-on experience resolving production infrastructure issues in GCP. Candidates whose experience is limited to theoretical knowledge, training, certifications, or application-level support without infrastructure troubleshooting experience may not be suitable.

Ideal Candidate Profile

A cloud operations or infrastructure support engineer who has personally managed GCP resources, investigated production incidents, troubleshot Linux and networking issues, and maintained service availability.

• Linux troubleshooting
• Hands-on AWS
• Production/Application Support
• Bash/Shell/Python
• Monitoring/log analysis
• Incident resolution
• Application deployment/support
• Basic networking and database knowledge
• Production/batch support exposure
• Willingness for rotational weekend/critical production support

Job Summary

We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.

Key Responsibilities

• Monitor application and infrastructure performance to ensure high availability and reliability.
• Manage production incidents, troubleshooting, root cause analysis, and resolution.
• Implement and maintain CI/CD pipelines for automated deployments.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Automate repetitive operational tasks using Python, Shell, or Bash scripting.
• Work with Docker, Kubernetes, and container orchestration technologies.
• Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
• Manage infrastructure as code using Terraform or Ansible.
• Define and monitor SLIs, SLOs, and SLAs.
• Collaborate with development, infrastructure, and support teams to improve system reliability.
• Participate in on-call support and disaster recovery activities.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps and Production Support
• Linux/Unix Administration
• Cloud Platforms: AWS, Azure, or GCP
• CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
• Scripting: Python, Shell, or Bash
• Docker and Kubernetes
• Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
• Incident Management and Root Cause Analysis