Expected Experience: • Experienced between 4-6 years relevant work experience in any reputed organization Requirement: • Hands on complete Design / Implementation of CI/CD Processes with Git • Hands-on in-depth knowledge of GCP like VPNs, VPCs, Storage, Tagging and monitoring, alerting of resources • Experience in development of access control lists • Hands on experience in containerization (Docker, Kubernetes) • Experience in with automation using any scripting language • Hands on experience in configure and manage data sources like MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc. • Experience in monitoring services via tools such as Graylog, Syslog, NewRelic, Prometheus, Nagios, etc. Roles & Responsibilities: • Architecting, designing, implementing and supporting of projects using cloud technologies • Production support responsibilities for software and infrastructure fixes • Day to day operational support of continuous integration, release and source control tooling • Work with software, infrastructure, network engineers and DBAs to solve productivity challenges, drive efficiency, automate and streamline environment builds • Co-own monitoring & alert configuration to detect, triage and resolve issues quickly • Build tools to enhance production triage and improve time to detect issues You must be: • A team player who likes to work hard and play harder, have excellent interpersonal, organizational and time-management skills. • Able to think strategically and analytically to effectively complete assigned work within given timelines. • Someone who possesses excellent written and oral communication skills and have an attention to detail • A person with an ability to multi-task on multiple projects and tasks at the same time • A person who gives importance to attention to detail and be highly organized • Positive and upbeat with the ability to learn quickly • Be able to laugh. At others and most importantly at yourself. Need a sense of humor. You can expect: • A fast-paced, high-growth startup environment where you will gain a career and not just a job. • The company to invest in your personal and professional development. We support your ongoing education and training by reimbursing you for relevant educational courses. • An open office culture, no cabins or cubicles and a place that is looking for your input to help us grow • The support of your teammates to always do better. Own it and win together! • Exposure of International Retail market. Learn about a high growth industry and build critical skill-sets. • Excellent employee referral program. Refer your friends, work with your friends and be awarded for it. • Work along with smart, creative and energetic team who truly believe in ‘working hard and partying harder!’ Educational Requirement: • UG - B.Tech/B.E. – Computer Science/ IT or equivalent • PG - M.Tech - Computer Science/ IT, MCA – Computers or equivalent

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About Profectus Analytics Pvt. Ltd.

Founded :

2017

Type :

Product

Size :

20-100

Stage :

Raised funding

About

Profectus Solutions is a retail pricing product company that provides business-focused and technology-enabled solutions to retailers to help them solve challenging and high-value problems in the pricing domain and improve business results and exceed their financial goals.

Built for retailers by retail experts, our solutions are designed to not only understand and appreciate the business challenges and nuances of the retail world but also instill a collaborative and work-flow driven approach towards pricing that is enabled by cutting-edge techniques in big data optimization, Machine Learning and Artificial Intelligence.

Ankit Agarwal

Connect

neha phull

Connect

Urmita Das

Connect

Company social profiles

N/A

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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

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Ensure fast detection → containment → resolution

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What success looks like

Uptime reaches 99.9%+ reliably
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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
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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)

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You will define reliability standards for a production AI platform
Your work directly impacts:
Customer trust
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What this role is not

Not just monitoring dashboards
Not limited to handling tickets
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What this role is

A builder of reliability systems
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Can you build a system where downtime is rare, predictable, and never dependent on a single person?

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Why this role exists

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Escalations don’t depend on leadership

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You will not just monitor systems.

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1. Drive uptime to production-grade reliability

Improve system uptime to 99.9% customer-facing SLA within 4 months
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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
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Incident severity levels
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Identify and resolve:
Latency spikes
Downtime incidents
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Build guardrails to prevent recurrence
Focus on root cause elimination, not temporary fixes

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Surface recurring failure patterns
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Failure signals
Ensure issues are detected before customers report them

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Improve system resilience across:
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Integrations
Runtime environments

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Uptime reaches 99.9%+ reliably
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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

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You have 2-5 years of experience in SRE / DevOps / backend systems
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Systems
Failure modes
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Have built or improved:
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Reliability frameworks
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Infra
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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
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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.
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Strong skills in network services such as DNS, TLS/SSL, HTTP, etc
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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
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