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Python Developer
MN $ Cloud Security Based Startup

Python Developer at MN $ Cloud Security Based Startup · Bengaluru (Bangalore) · 2 - 4 years · ₹5L - ₹8L / yr · Posted 13 Feb 2025

Meyrahkee Advisors's logo

Python Developer

at MN $ Cloud Security Based Startup

Agency job
2 - 4 yrs
₹5L - ₹8L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
skill iconDjango
skill iconFlask
skill iconAmazon Web Services (AWS)
skill iconGit
AWS Lambda
Amazon RDS
Amazon DynamoDB
  • Job Description

We are looking for a talented Platform Engineer with a strong background in Python programming and AWS services to join our growing team.


Responsibilities:

  • Contribute to the development and maintenance of our cloud management platform
  • Collaborate with cross-functional teams to define, design, and deliver new features and functionality.
  • Provide technical support and guidance to internal and external stakeholders.
  • Stay up-to-date with the latest industry trends and technologies.

Requirements:

  • A total of 2-4 years of professional experience in developing applications/platforms using Python programming
  • Strong understanding of Object-Oriented Programming, SOLID principles and RDBMS.
  • Demonstrated experience in utilizing AWS services, including Lambda, RDS, and DynamoDB.
  • Strong understanding of cloud computing concepts, infrastructure, and architectural best practices.
  • Experience in using source control systems, such as Git.
  • Excellent problem-solving skills and the ability to debug complex systems.
  • Strong communication skills, both written and verbal, with the ability to work effectively with team members and stakeholders.
  • A constant hunger for learning and staying up-to-date with the latest industry advancements.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.

Nice to have:

  • AWS Certified Developer – Associate or other relevant AWS certifications.
  • Experience with the AWS Boto3 SDK for Python.
  • Experience with other cloud platforms (Azure, GCP, etc.).
  • Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes.


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  • Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

  • A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
  • Collaborate with executive leadership on business strategy, client requirements and product delivery.
  • Build, mentor and scale high-performing engineering teams with a growth mindset.
  • Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

  • Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
  • Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
  • Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

  • Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
  • A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
  • Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
  • Proven leadership in defining and executing technology strategy and platform roadmaps.
  • Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

  • Strong full-stack engineering background (Java, Python, JavaScript frameworks).
  • Expertise with JS frameworks such as React, Angular and Node.js.
  • Experience building and scaling distributed systems and microservices.
  • Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
  • Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

  • Product and delivery management expertise, end to end, including delivery and customer support.
  • Excellent communication, with the ability to influence executive stakeholders.
  • High technical proficiency combined with strong business acumen.
  • Strong analytical and decision-making skills.


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Remote only
8 - 12 yrs
Best in industry
Terraform
Artificial Intelligence (AI)
IAC
skill iconAmazon Web Services (AWS)
ECS
+6 more


Senior Platform & Site Reliability Engineer

Location: Remote Employment Type: Contract

The Role

This role carries full architectural and operational ownership of the platform layer across a growing SaaS portfolio. The Cloud Architect owns AWS infrastructure standards — VPCs, account structures, networking, and compute design. Everything outside that lane is yours: the CI/CD platform, the observability and reliability stack, the event streaming infrastructure, the deployment pipelines, and the incident engineering model.

Architectural decisions are yours to make and defend, standards are yours to define and enforce, and the reliability of 20+ enterprise SaaS products depends on what you and your team build.

This is an AI-native engineering organisation. Where it is practical and safe to do so, you are expected to use automation and AI-assisted tooling to reduce toil — in CI/CD triage, infrastructure provisioning, observability workflows, and acquisition onboarding. The expectation is not to replace engineering judgement with automation, but to free it up for the problems that genuinely require it.

The Scale You Will Operate At

The portfolio consists of 20+ live, enterprise-grade SaaS solutions running concurrently. Each product serves enterprise customers and processes millions to billions of real-time requests. The architecture is serious: event streaming for real-time data pipelines, batch processing workloads running alongside live transaction flows, and multi-tenant enterprise-grade reliability expectations across every product.

You will design and operate the platform infrastructure that underpins all of it — scaling horizontally as each new acquisition joins the portfolio, without proportionally scaling cost, complexity, or headcount.

What You Will Own

Platform Architecture

  • Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure
  • Define, build, and enforce platform standards across portfolio products
  • Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed
  • Self-service developer platform so product teams ship without waiting on platform

Event Streaming & Pipeline Infrastructure

  • Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines
  • Design and maintain batch processing infrastructure alongside live event flows
  • Ensure pipeline reliability, throughput, and cost are actively managed at scale

CI/CD & Deployment

  • Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products
  • Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures
  • Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified

Observability & Reliability

  • Own the full observability stack: Grafana, Prometheus, and Loki across all products
  • SLOs and error budgets defined per product; reliability tracked consistently
  • Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen
  • Incident response: on-call design, escalation playbooks, post-mortem facilitation
  • Automated remediation scoped to safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns; novel or ambiguous failures escalate to a human with full context attached

Acquisition Onboarding

  • Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture
  • Migration plan and execution for each portfolio company joining the platform — sequenced to avoid disrupting live operations
  • Target: full platform integration within a defined window per acquisition

A Note on Automation

Where automation is safe and failure modes are well understood — routine provisioning, known CI/CD failure classes, secrets rotation, cost anomaly flagging — aggressive automation is expected. Where automation would act on ambiguous signals or carry significant blast radius, human judgement stays in the loop. The goal is to reduce toil on solved problems, not to automate decisions that require engineering expertise.

Platform Stack

Area Stack / Standard IaC Terraform OSS / OpenTofu CI/CD GitHub Actions Event Streaming Architecture and tooling chosen for the workload Observability Grafana, Prometheus, Loki Log Management AWS CloudWatch, Grafana Loki Incident Management OpsGenie (startup tier) or Better Uptime Secrets AWS Secrets Manager / HashiCorp Vault OSS Containers ECS (default), EKS only where justified Cost Monitoring AWS Cost Explorer with custom dashboards What We’re Looking For

  • 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time
  • Strong Terraform depth across multi-environment, multi-account setups
  • CI/CD ownership across a multi-product environment with GitHub Actions
  • Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management
  • Hands-on Grafana, Prometheus, and Loki in production
  • AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer
  • SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture
  • Acquisition or greenfield platform integration experience strongly preferred

How You Work

  • Comfortable operating across multiple products simultaneously — context-switching without dropping standards
  • Cost-efficiency instinct — you optimise spend as a habit, not as a project
  • You treat automation as a tool for eliminating toil, not a substitute for engineering judgement
  • You document decisions, enforce standards through code, and build platforms that other engineers find intuitive to use

Why This Role

The platform function is being built from the ground up. You will have architectural ownership of the entire non-AWS platform layer across a growing portfolio of enterprise SaaS products, with the freedom — and responsibility — to build the reliability and delivery culture of the organisation.

This is not a role that inherits someone else’s decisions and maintains them. Every major architectural choice is still to be made. If you want to build something that lasts and that other engineers depend on, this is the role.

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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