Software Development Engineer 1 - DevOps

CommerceIQ; Bengaluru; On-site; INR 900,000 - 1,800,000; Full time

Job summary

CommerceIQ is seeking an experienced DevOps/Platform lead to guide architectural decisions for scalable, multi-cloud deployments. You will influence priorities, mentor engineers, and drive CI/CD and SDLC best practices across teams in a SaaS/B2C environment.

You will work with SDEs, product managers and cross-functional partners to deliver cohesive launches while ensuring robust security and operational excellence across AWS and other clouds.

Qualifications

• At least 1-3 years of technology experience, including 1+ years of cloud experience.
• Handled operations, deployment and security of multiple SaaS/B2C products.
• Deep knowledge of Python, GoLang and one public cloud (AWS preferred).
• Strong understanding of log collection (EFK) and metrics tools (New Relic, Prometheus, Grafana, SignalFx).
• Experience designing RESTful APIs and microservices on public clouds, preferably AWS.
• Excellent analytical, communication and coding skills.
• Code reviews, coding/design standards and documentation are essential.
• Experience with messaging systems (SQS, Kafka) and ETL pipelines (Step Functions, Azkaban, Airflow), plus Spark would be advantageous.

Responsibilities

• Lead DevOps to design scalable, extensible infrastructure for multi-cloud deployments.
• Guide CI/CD and SDLC best practices across teams and products.
• Mentor engineers to create force multipliers and drive engineering excellence.
• Collaborate with stakeholders to deliver cohesive SaaS/B2C launches.
• Ensure security, operations and DR readiness for services across CIQ infrastructure.

Skills

AWS

Python

GoLang

Public clouds

CI/CD

Microservices

RESTful APIs

SQS

Kafka

Spark

Tools

EFK

New Relic

Prometheus

Grafana

SignalFx

Airflow

Azkaban

Step Functions

Job description

The core requirements for the job include the following:

Functional level expectations:

• You should possess advanced knowledge of AWS and other software design approaches to guide the DevOps team in designing infrastructure that caters to scale and concurrency.
• Preferably AWS-certified.
• You should be able to work in situations where you can use your prior expertise and judgment to determine goals, identify constraints, and propose an actionable plan.
• Your work is typically focused on working with multiple teams' architecture and product solutions.
• You should be able to lead the design and implementation that is extensible and scalable.
• For continuous integration and deployment.
• For multi-cloud deployments.
• For DR of various services with CIQ infrastructure.
• You should be able to influence, as a team lead, management decisions and priorities and actively mentor to create force multipliers.
• You should drive teams to adhere to engineering best practices in SDLC, like code coverage, acceptance testing, CI/CD and design patterns that ensure consistency and standardisation of architecture.
• You should proactively simplify code, identify bottlenecks and resolve team architecture deficiencies.
• You should be able to work along with other SDEs on their team; build relationships with stakeholders, including customers, product managers, cross-functional partners and external partners; and integrate for a cohesive launch.

Requirements:

• At least 1-3 years of technology experience, including 1+ years of working experience in the cloud.
• The ideal candidate should have handled operations, deployment and security of multiple SaaS/B2C products.
• Deep knowledge of Python, Cloud or GoLang and one of the public clouds.
• Good knowledge of log collection designs like EFK and metric collection tools like New Relic, Prometheus/Grafana or SignalFx.
• Good knowledge of the design, creation and consumption of RESTful APIs and microservice architectures on public clouds, preferably AWS.
• Excellent analytical, communication and coding skills are a must.
• Thorough orientation towards code reviews, coding/design standards and documentation.
• Good knowledge of designing with messaging systems such as SQS and Kafka.
• Good knowledge of designing ETL pipelines using AWS Step Functions, Azkaban, and Airflow.
• Good knowledge of any big data engine like Spark would be an advantage.