Backend Engineer — Python (Remote - India) at Axelerant

Confirmed open

Backend Engineer — Python (Remote - India) opportunity with Axelerant. Review the official posting for responsibilities, qualifications and application details.

Axelerant

Location: Remote
Advertised region: India
Employment: FULL_TIME
Work arrangement: remote
Technologies: Python, React, AWS, Docker, SQL

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Role overview

Backend Engineer — Python (Remote - India) at Axelerant, based on the employer's live posting. The role contributes to production software, engineering operations and reliable delivery within the stated team.

Responsibilities

You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar tools.
This is a backend-first role for an engineer who understands that testing, security, reliability, and observability are core parts of production software development.
Own the delivery and day-to-day reliability of clearly scoped backend features and APIs built with Python, Django, and FastAPI.
Improve the maintainability of existing services by simplifying legacy workflows, business logic, data models, and integrations.
Deliver secure, well-documented APIs that enable frontend applications, internal tools, and third-party integrations.
Keep data workflows reliable through safe schema changes, migrations, backfills, validation, and failure recovery.
Build background jobs and asynchronous workflows that handle retries, timeouts, rate limits, idempotency, and operational failures.
Raise confidence in releases through automated tests, thoughtful code reviews, and production-readiness checks.
Improve performance and reliability using profiling, query optimization, caching, monitoring, and practical fault handling.
Make services easier to operate by maintaining useful logs, metrics, dashboards, alerts, and runbooks.
Contribute to React or Next.js integrations and internal administration interfaces when needed to deliver complete product outcomes.
Collaborate with product, frontend, platform, DevOps, SRE, and operations teammates to ship well-scoped solutions and document technical decisions.
3–5 years of professional software engineering experience, mainly in backend development.
Good proficiency in Python and production experience with either Django or FastAPI, with willingness to learn the other.
Practical experience designing REST APIs and integrating with third-party or internal services.
Working knowledge of SQL, relational databases, an ORM such as Django ORM or SQLAlchemy, and database migrations.

Qualifications

Working knowledge of SQL, relational databases, an ORM such as Django ORM or SQLAlchemy, and database migrations.
Good problem-solving, communication, documentation, and collaboration skills.
Familiarity with background jobs or asynchronous processing using Celery, SQS, RabbitMQ, Kafka, or similar tools.
Familiarity with structured logging, metrics, dashboards, alerts, and observability tools.
Exposure to React or Next.js integrations.
Familiarity with CI/CD pipelines, infrastructure-as-code, secrets management, and least-privilege access.

Technology in this role

Python: Backend Engineer — Python (Remote - India) at Axelerant, based on the employer's live .
React: Contribute to React or Next.js integrations and internal administration interfaces when needed to deliver complete product .
AWS: You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar .
Docker: • Experience with Docker, Redis, webhooks, queues, or event-driven .
SQL: Working knowledge of SQL, relational databases, an ORM such as Django ORM or SQLAlchemy, and database .
Next.js: Contribute to React or Next.js integrations and internal administration interfaces when needed to deliver complete product .
Redis: • Experience with Docker, Redis, webhooks, queues, or event-driven .
Kafka: Familiarity with background jobs or asynchronous processing using Celery, SQS, RabbitMQ, Kafka, or similar .
CI/CD: Familiarity with CI/CD pipelines, infrastructure-as-code, secrets management, and least-privilege .
Django: Own the delivery and day-to-day reliability of clearly scoped backend features and APIs built with Python, Django, and .
FastAPI: Own the delivery and day-to-day reliability of clearly scoped backend features and APIs built with Python, Django, and .
RabbitMQ: Familiarity with background jobs or asynchronous processing using Celery, SQS, RabbitMQ, Kafka, or similar .
Prometheus: You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar .
Grafana: You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar .
Datadog: You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Backend Engineer — Python (Remote - India) position at Axelerant is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Backend Engineer — Python (Remote - India) at Axelerant, based on the employer's live posting. The role contributes to production software, engineering operations and reliable.

Benefits

See the employer posting for the current compensation, benefits, location limits and employment conditions.

About Axelerant

Axelerant is a digital services partner working across strategy, design, engineering and growth operations. Its public company overview describes building and running digital platforms for established organizations, including businesses, universities and nonprofits, and working alongside client teams on complex digital transformation and experience projects.

The company says it uses internal systems and AI-supported processes to handle repeatable delivery work while people focus on architecture, judgment, craft and client relationships. That context is relevant to roles involving client requirements, implementation and ongoing platform outcomes. Because the role may be assigned to a client project, candidates should confirm the likely account, project phase, team structure and technologies directly from the job posting or recruiter.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-17

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