DevOps Engineer

JOB DETAILS:

- Job Title: Senior Devops Engineer 2

- Industry: Ride-hailing

- Experience: 5-7 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1.   Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.

2.   Minimum 5 yrs of experience working as a DevOps/Infrastructure Consultant

3.   Own end-to-end infrastructure right from non-prod to prod environment including self-managed

4.   Candidate must have experience in database migration from scratch 

5.   Must have a firm hold on the container orchestration tool Kubernetes

6.   Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

7.   Understanding programming languages like GO/Python, and Java

8.   Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

9.   Working experience on Cloud platform - AWS

10. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description 

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs

● Codify our infrastructure

● Do what it takes to keep the uptime above 99.99%

● Understand the bigger picture and sail through the ambiguities

● Scale technology considering cost and observability and manage end-to-end processes

● Understand DevOps philosophy and evangelize the principles across the organization

● Strong communication and collaboration skills to break down the silos

Job Requirements:

● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience

● Minimum 5 yrs of experience working as a DevOps/Infrastructure Consultant

● Must have a firm hold on the container orchestration tool Kubernetes

● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

● Strong problem-solving skills, and ability to write scripts using any scripting language

● Understanding programming languages like GO/Python, and Java

● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

What’s there for you?

Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as

● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node

● More than 100,000 Request per second on our edge gateways

● ~20,000 events per second on self-managed Kafka

● 100s of TB of data on self-managed databases

● 100s of real-time continuous deployment to production

● Self-managed infra supporting

● 100% OSS

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

Job Title: DevOps - 3

Roles and Responsibilities:

• Develop deep understanding of the end-to-end configurations, dependencies, customer requirements, and overall characteristics of the production services as the accountable owner for overall service operations
• Implementing best practices, challenging the status quo, and tab on industry and technical trends, changes, and developments to ensure the team is always striving for best-in-class work
• Lead incident response efforts, working closely with cross-functional teams to resolve issues quickly and minimize downtime. Implement effective incident management processes and post-incident reviews
• Participate in on-call rotation responsibilities, ensuring timely identification and resolution of infrastructure issues
• Possess expertise in designing and implementing capacity plans, accurately estimating costs and efforts for infrastructure needs.
• Systems and Infrastructure maintenance and ownership for production environments, with a continued focus on improving efficiencies, availability, and supportability through automation and well defined runbooks
• Provide mentorship and guidance to a team of DevOps engineers, fostering a collaborative and high-performing work environment. Mentor team members in best practices, technologies, and methodologies.
• Design for Reliability - Architect & implement solutions that keeps Infrastructure running with Always On availability and ensures high uptime SLA for the Infrastructure
• Manage individual project priorities, deadlines, and deliverables related to your technical expertise and assigned domains
• Collaborate with Product & Information Security teams to ensure the integrity and security of Infrastructure and applications. Implement security best practices and compliance standards.

Must Haves

• 5-8 years of experience as Devops / SRE / Platform Engineer.
• Strong expertise in automating Infrastructure provisioning and configuration using tools like Ansible, Packer, Terraform, Docker, Helm Charts etc.
• Strong skills in network services such as DNS, TLS/SSL, HTTP, etc
• Expertise in managing large-scale cloud infrastructure (preferably AWS and Oracle)
• Expertise in managing production grade Kubernetes clusters
• Experience in scripting using programming languages like Bash, Python, etc.
• Expertise in skill sets for centralized logging systems, metrics, and tooling frameworks such as ELK, Prometheus/VictoriaMetrics, and Grafana etc.
• Experience in Managing and building High scale API Gateway, Service Mesh, etc
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
• Have a working knowledge of a backend programming language
• Deep knowledge & experience with Unix / Linux operating systems internals (Eg. filesystems, user management, etc)
• A working knowledge and deep understanding of cloud security concepts
• Proven track record of driving results and delivering high-quality solutions in a fast-paced environment
• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment. 

• 7+ years of experience in System Administration, Networking, Automation, Monitoring
• Excellent problem solving, analytical skills and technical troubleshooting skills
• Experience managing systems deployed in public cloud platforms (Microsoft Azure, AWS or Google Cloud)
• Experience implementing and maintaining CI/CD pipelines (Jenkins, Concourse, etc.)
• Linux experience, flavours: Ubuntu, Redhat, CentOS (sysadmin, bash scripting)
• Experience setting up monitoring (Datadog, Splunk, etc.)
• Experience in Infrastructure Automation tools like Terraform
• Experience in Package Manager for Kubernetes like Helm Charts
• Experience with databases and data storage (Oracle, MongoDB, Postgres SQL, ELK stack)
• Experience with Docker
• Experience with orchestration technologies (Kubernetes or DC/OS)
• Familiar with Agile Software Development

• Responsible for the entire infrastructure including Production (both bare metal and AWS).
• Manage and maintain the production systems and operations including SysAdmin, DB activities.
• Improve tools and processes, automate manual efforts, and maintain the health of the system.
• Champion best practices, CI-CD, Metrics Driven Development
• Optimise the company's computing architecture
• Conduct systems tests for security, performance, and availability
• Maintain security of the system
• Develop and maintain design and troubleshooting documentation

• 7+ years of experience into DevOps/Technical Operations
• Extensive experience in operating scripting language like shell, python, etc
• Experience in developing and maintaining CI/CD process for SaaS applications using tools such as Jenkins
• Hands on experience in using configuration management tools such as Puppet, SaltStack, Ansible, etc
• Hands-on experience to build and handle VMs, Containers utilizing tools such as Kubernetes, Docker, etc
• Hands on experience in building, designing and maintaining cloud-based applications with AWS, Azure,GCP, etc
• Knowledge of Databases (MySQL, NoSQL)
• Knowledge of security/ethical hacking

• Have experience with ElasticSearch, Kibana, LogStash
• Have experience with Cassandra, Hadoop, or Spark
• Have experience with Mongo, Hive

About Us

We have grown over 1400% in revenues in the last year.

Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.

Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. 

We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups. 

We are a fully remote team.

Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.

As a Site Reliability Engineer you will be in charge of:

• Designing, analyzing and troubleshooting large-scale distributed systems
• Engaging in cross-functional team discussions on design, deployment, operation, and maintenance,  in a fast-moving, collaborative set up
• Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
• Debugging and optimizing code and automating routine tasks
• Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
• Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products 
• You will follow and write good code and solid engineering practices

You can be a great fit if you are :

1. Extremely self motivated
2. Ability to learn quickly
3. Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
4. Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation. 
8. 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
9. Have a solid understanding of system availability, latency, and performance
10. Strong programming skills in at least one major programming language and the ability to learn new languages as needed  
11. Strong System/network debugging skills
12. Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
13. Experience with setting up production-level monitoring and telemetry
14. Expertise in Container management & AWS
15. Experience with kubernetes is a plus
16. Experience building CI/CD pipelines
17. Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
18. Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
19. Ability to effectively articulate technical challenges and solutions.
20. Proactive outlook for ways to make our systems more reliable

Requirements and Qualifications

• Bachelor’s degree in Computer Science Engineering or in a related field
• 4+ years of experience
• Excellent analytical and problem-solving skills
• Strong knowledge of Linux systems and internals
• Programming experience in Python/Shell scripting
• Strong AWS skills with knowledge of EC2, VPC, S3, RDS, Cloudfront, Route53, etc
• Experience in containerization (Docker) and container orchestration (Kubernetes)
• Experience in DevOps & CI/CD tools such as Git, Jenkins, Terraform, Helm
• Experience with SQL & NoSQL databases such as MySql, MongoDB, and ElasticSearch
• Debugging and troubleshooting skills using tools such as strace, tcpdump, etc
• Good understanding of networking protocol and security concerns (VPN, VPC, IG, NAT, AZ, Subnet)
• Experience with monitoring and data analysis tools such as Prometheus, EFK, etc
• Good communication & collaboration skills and attention to details
• Participation in rotating on-call duties

• You have experience of 2-4 years in building high-performance consumer-facing mobile applications at Product companies of a decent scale.
• You can write code preferably in Golang and Python.
• You have experience with debugging production issues and writing RCAs.
• You have demonstrable stories of being on-call and how outages have been handled.
• You have experience developing products on Kubernetes and cloud providers like GCP and AWS.
• You have worked with Cloud Native (CNCF) technologies.
• You have experience automating CI/CD pipelines.
• You are an excellent collaborator & communicator. You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company

• Expertise in Infrastructure & Application design & architecture
• Expertise in AWS, OS & networking
• Having good exposure on Infra & Application security
• Expertise in Python, Shell scripting
• Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
• Solid background in systems engineering and operations
• Strong in Devops methodologies and processes
• Strong in CI/CD pipeline & SDLC.