
Infrastructure as Code (IaC):
- Design, implement, and maintain infrastructure as code using tools like Terraform, CloudFormation, or similar.
- Automate infrastructure provisioning and configuration across multiple environments (development, staging, production).
CI/CD Pipelines:
- Design, build, and maintain robust CI/CD pipelines using tools like Jenkins, GitLab CI/CD, CircleCI, or GitHub Actions.
- Implement automated testing, build, and deployment processes.
- Optimize pipelines for speed, reliability, and security.
Cloud Infrastructure:
- Manage and optimize cloud infrastructure on platforms like AWS, Azure, or GCP.
- Monitor and troubleshoot cloud infrastructure performance and availability.
- Implement security best practices for cloud environments.
- Implement cost optimization strategies for cloud resources.

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Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most systems don’t fail because of one big outage.
They fail because reliability is treated as an afterthought.
Right now, uptime depends too much on individual heroics.
That doesn’t scale.
This role exists to build a reliability system where:
- Uptime is predictable
- Failures are contained
- Escalations don’t depend on leadership
What you’ll do
You will not just monitor systems.
You will own reliability as a product.
1. Drive uptime to production-grade reliability
- Improve system uptime to 99.9% customer-facing SLA within 4 months
- Define and track:
- SLAs / SLOs / error budgets
- Ensure reliability is measured from the customer’s perspective, not internal metrics
2. Build incident response as a system
- Set up a 24/7 incident response rotation across 3 engineers
- Eliminate dependency on leadership (no single escalation point)
- Define:
- Incident severity levels
- Response playbooks
- Escalation protocols
- Ensure fast detection → containment → resolution
3. Contain and fix erratic system behavior
- Identify and resolve:
- Latency spikes
- Downtime incidents
- Integration failures
- Build guardrails to prevent recurrence
- Focus on root cause elimination, not temporary fixes
4. Create continuous reliability feedback loops
- Work closely with engineering teams to:
- Surface recurring failure patterns
- Improve build quality
- Reduce production bugs
- Ensure learnings from incidents directly improve future releases
5. Improve observability and monitoring
- Build dashboards and alerts for:
- System health
- Performance metrics
- Failure signals
- Ensure issues are detected before customers report them
6. Reduce operational fragility
- Remove single points of failure (people, systems, workflows)
- Improve system resilience across:
- Deployments
- Integrations
- Runtime environments
What success looks like
- Uptime reaches 99.9%+ reliably
- Incidents are:
- Detected early
- Contained quickly
- Resolved permanently
- No dependency on a single individual for escalation
- System behavior becomes predictable and stable
- Engineering teams ship with higher reliability confidence
Who you are
- You have 2-5 years of experience in SRE / DevOps / backend systems
- You have worked on production systems with real uptime expectations
- You think in:
- Systems
- Failure modes
- Trade-offs
- You are comfortable debugging live, high-pressure environments
What will make you stand out
- Experience with:
- Distributed systems
- Cloud infrastructure (AWS / Azure / GCP)
- Monitoring & alerting tools
- Have built or improved:
- Incident response systems
- Reliability frameworks
- Strong debugging skills across:
- Infra
- Application
- Integrations
Compensation
₹60,000/month (fixed)
(Aligned with role scope and impact expectations)
Why join
- You will define reliability standards for a production AI platform
- Your work directly impacts:
- Customer trust
- Product performance
- Enterprise readiness
- You will move the system from reactive → predictable
What this role is not
- Not just monitoring dashboards
- Not limited to handling tickets
- Not dependent on escalation to leadership
What this role is
- A builder of reliability systems
- A guardian of uptime and performance
- A multiplier of engineering quality
One question to self-evaluate
Can you build a system where downtime is rare, predictable, and never dependent on a single person?
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).
3. Candidate must have solid experience with Kubernetes.
4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
5. Candidate must be an individual contributor with strong ownership.
6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.
7. Candidate must have working knowledge of Go/Python and Java.
8. Candidate should have working experience on Cloud platform - AWS
9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
THE POSITION
Ashnik is looking for experienced technology consultant to work in DevOps team in pre-sales function. The primary area of focus will be Microservices, CI/CD pipeline, Docker, Kubernetes, containerization and container security. A person in this role will be responsible for leading technical discussions with customers and partners and helping them arrive at final solution.
QUALIFICATION AND EXPERIENCE
- Engineering or equivalent degree
- Must have at least 8 years of experience in IT industry designing and delivering solutions
- Must have at least 3 years of hand-on experience of Linux and Operating system
- Must have at least 3 years of experience of working in an environment with highly virtualized or cloud based infrastructure
- Must have at least 2 years hands on experience in CI/CD pipeline, micro-services, containerization and kubernetes
- Though coding is not needed in this role, the person should have ability to understand and debug code if required
- Should be able to explain complex solution in simpler ways
- Should be ready to travel 20-40% in a month
- Should be able to engage with customers to understand the fundamental/driving requirement
DESIRED SKILLS
- Past experience of working with Docker and/or Kubernetes at Scale
- Past experience of working in a DevOps team
- Prior experience in Pre-sales role
RESPONSIBILITIES
- Own pre-sales or sales engineering responsibility to design, present, deliver technical solution
- Be the point of contact for all technical queries for Sales team and partners
- Build full-fledged solution proposals with details of implementation and scope of work for customers
- Contribute in technical writings through blogs, whitepapers, solution demos
- Make presentations at events and participate in events.
- Conduct customer workshops to educate them about features in Docker Enterprise Edition
- Coordinate technical escalations with principal vendor
- Get an understanding of various other components and considerations involved in the areas mentioned above
- Be able to articulate value of technology vendor’s products that Ashnik is partnering with eg. Docker, Sysdig, Hashicorp, Ansible, Jenkins etc.
- Work with partners and sales team for responding to RFPs and tenders
WHAT IS IN IT FOR YOU?
You would be adding a great experience of working with a leading open source solutions company in South East Asia region to your career. You would get to learn from the leaders and grow in the industry. This would be a great opportunity for you to grow in your career through continuous learning, adding depth and breadth of technologies. Since we work with leading open source technologies and engage with large enterprises, it creates enormous possibilities for career growth for our team. Not to mention that our people find the journey with Ashnik to be exciting and a fulfilling experience.

Roles and Responsibilities:
• Gather and analyse cloud infrastructure requirements
• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby
preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and
discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,
CloudFormation), and automated imaging tools (Packer)
• Support existing infrastructure, analyse problem areas and come up with solutions
• An eye for monitoring – the candidate should be able to look at complex infrastructure and be
able to figure out what to monitor and how.
• Work along with the Engineering team to help out with Infrastructure / Network automation needs.
• Deploy infrastructure as code and automate as much as possible
• Manage a team of DevOps
Desired Profile:
• Understanding of provisioning of Bare Metal and Virtual Machines
• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.
• Experience in scripting languages like Ruby/ Python/ Shell Scripting
• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts
• Strong Linux/Unix administration skills.
• Self-starter who can implement with minimal guidance
• Hands-on experience setting up CICD from SCRATCH in Jenkins
• Experience with Managing K8s infrastructure
Summary
We are building the fastest, most reliable & intelligent trading platform. That requires highly available, scalable & performant systems. And you will be playing one of the most crucial roles in making this happen.
You will be leading our efforts in designing, automating, deploying, scaling and monitoring all our core products.
Tech Facts so Far
1. 8+ services deployed on 50+ servers
2. 35K+ concurrent users on average
3. 1M+ algorithms run every min
4. 100M+ messages/min
We are a 4-member backend team with 1 Devops Engineer. Yes! this is all done by this incredible lean team.
Big Challenges for You
1. Manage 25+ services on 200+ servers
2. Achieve 99.999% (5 Nines) availability
3. Make 1-minute automated deployments possible
If you like to work on extreme scale, complexity & availability, then you will love it here.
Who are we
We are on a mission to help retail traders prosper in the stock market. In just 3 years, we have the 3rd most popular app for the stock markets in India. And we are aiming to be the de-facto trading app in the next 2 years.
We are a young, lean team of ordinary people that is building exceptional products, that solve real problems. We love to innovate, thrill customers and work with brilliant & humble humans.
Key Objectives for You
• Spearhead system & network architecture
• CI, CD & Automated Deployments
• Achieve 99.999% availability
• Ensure in-depth & real-time monitoring, alerting & analytics
• Enable faster root cause analysis with improved visibility
• Ensure a high level of security
Possible Growth Paths for You
• Be our Lead DevOps Engineer
• Be a Performance & Security Expert
Perks
• Challenges that will push you beyond your limits
• A democratic place where everyone is heard & aware
- Experience working on Linux based infrastructure
- Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
- Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
- Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
- Awareness of critical concepts in DevOps and Agile principles









