
Backend Development & API Design
· Design, develop, and maintain scalable and high-performance REST APIs using FastAPI.
· Implement robust and secure authentication and authorization mechanisms.
· Ensure seamless data flow and communication between frontend and backend services.
Database & Performance Optimization
· Work with SQL databases (PostgreSQL, etc.), including writing optimized queries and managing database schemas.
· Implement data storage solutions that ensure high availability, performance, and scalability.
· Monitor database performance and troubleshoot any issues proactively.
Server-Side Logic & Security
· Develop and maintain scalable microservices using Python.
· Implement security best practices to protect data integrity and prevent vulnerabilities.
· Handle server-side logic to support business requirements efficiently.
Monitoring & Analytics
· Implement monitoring tools to track application performance and system health.
· Set up logging mechanisms for better debugging and system observability.
· Use analytics to optimize application performance and database efficiency.
General Engineering Responsibilities
· Collaborate with front-end engineers to ensure seamless API integration.
· Write clean, maintainable, and well-documented code.
· Stay updated with the latest backend technologies, frameworks, and best practices.

About Solique Advisors
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We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.
The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.
Required Experience
- 6 – 10 Years of overall IT experience
- Strong experience in AIOps / MLOps / DevOps engineering
- Hands-on enterprise experience in Azure Cloud platform engineering
Key Responsibilities
AIOps / MLOps
- Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
- Ensure AI platform reliability, governance, security, and model performance optimization.
- Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
- Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
- Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
- Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
- Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
- Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts
Preferred Skills
- Python, MLflow, Model Registry, Experiment Tracking
- Azure DevOps & Azure Cloud
- Azure Machine Learning
- LLMOps / Generative AI operationalization
- AI model deployment and lifecycle management
- AI Gateway and Model Serving architectures
- Azure OpenAI & Azure AI Foundry
- MCP Server implementation and configuration
- CI/CD Automation & AKS
Soft Skills
- Strong communication and stakeholder management
- Good troubleshooting and problem-solving skills
- Ability to work independently and drive ownership
- Strong collaboration and documentation skills
Role & Responsibilities
- You take end-to-end ownership of infrastructure, design, scale, and operate it. This goes beyond execution. Here's what that looks like day to day:
- Own the design, architecture, and reliability of Locus's cloud infrastructure across AWS, Azure, GCP, and Aliyun, supporting multi-region, global deployments.
- Lead the evolution of our CI/CD ecosystem, optimize and refactor our Jenkins-as-Code setup for scalability, performance, and developer efficiency.
- Drive the Infrastructure as Code (IaC) journey end-to-end, migrate existing cloud resources, alarms, and configurations fully into code with strong versioning, review, and rollback practices.
- Partner with engineering teams to identify and resolve performance, scalability, and reliability bottlenecks, deep dives into memory, CPU, networking, and storage constraints.
- Define and implement monitoring, alerting, and incident response best practices, improve MTTR, system observability, and operational readiness.
- Lead initiatives around cost optimization, security hardening, and capacity planning, keep infrastructure efficient and compliant as the platform scales.
- Act as a technical mentor for junior DevOps engineers and raise the overall DevOps maturity across teams.
Ideal Candidate
- Strong Senior DevOps Engineer Profile
- Mandatory (Experience 1): Must have 5+ years in DevOps / SRE / Infrastructure roles with hands-on experience (clear scale signals like traffic, uptime, latency, infra size should be mentioned)
- Mandatory (Experience 2): Must have B2B SaaS company experience with multi-tenant architecture OR multiple production stacks (multi-env / multi-client systems)
- Mandatory (Tech Skills 1 - Cloud & Infra): AWS (VPC, EKS, EC2, RDS, networking), Kubernetes (EKS) at scale, Designing high availability, multi-region systems
- Mandatory (Tech Skills 2 - Automation & IaC): Terraform (must-have), Helm / GitOps, Strong scripting (Python / Go / Bash)
- Mandatory (Tech Skills 3 - CI/CD & Release): Scalable CI/CD pipelines (GitHub Actions / Jenkins), Zero/low downtime deployments
- Mandatory (Tech Skills 4 - Reliability & Observability): SRE principles (SLOs, SLIs, error budgets), Monitoring tools (Prometheus, Grafana, Datadog), Alerting, on-call, incident management
- Mandatory (Education): BTech in Computer Science or related fields
- Mandatory (Company): Strong B2B SaaS product companies only (good scaled)
About MyOperator
MyOperator is a Business AI Operator, a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.
Job Summary
We are looking for a skilled and motivated DevOps Engineer with 3+ years of hands-on experience in AWS cloud infrastructure, CI/CD automation, and Kubernetes-based deployments. The ideal candidate will have strong expertise in Infrastructure as Code, containerization, monitoring, and automation, and will play a key role in ensuring high availability, scalability, and security of production systems.
Key Responsibilities
- Design, deploy, manage, and maintain AWS cloud infrastructure, including EC2, RDS, OpenSearch, VPC, S3, ALB, API Gateway, Lambda, SNS, and SQS.
- Build, manage, and operate Kubernetes (EKS) clusters and containerized workloads.
- Containerize applications using Docker and manage deployments with Helm charts
- Develop and maintain CI/CD pipelines using Jenkins for automated build and deployment processes
- Provision and manage infrastructure using Terraform (Infrastructure as Code)
- Implement and manage monitoring, logging, and alerting solutions using Prometheus and Grafana
- Write and maintain Python scripts for automation, monitoring, and operational tasks
- Ensure high availability, scalability, performance, and cost optimization of cloud resources
- Implement and follow security best practices across AWS and Kubernetes environments
- Troubleshoot production issues, perform root cause analysis, and support incident resolution
- Collaborate closely with development and QA teams to streamline deployment and release processes
Required Skills & Qualifications
- 3+ years of hands-on experience as a DevOps Engineer or Cloud Engineer.
- Strong experience with AWS services, including:
- EC2, RDS, OpenSearch, VPC, S3
- Application Load Balancer (ALB), API Gateway, Lambda
- SNS and SQS.
- Hands-on experience with AWS EKS (Kubernetes)
- Strong knowledge of Docker and Helm charts
- Experience with Terraform for infrastructure provisioning and management
- Solid experience building and managing CI/CD pipelines using Jenkins
- Practical experience with Prometheus and Grafana for monitoring and alerting
- Proficiency in Python scripting for automation and operational tasks
- Good understanding of Linux systems, networking concepts, and cloud security
- Strong problem-solving and troubleshooting skills
Good to Have (Preferred Skills)
- Exposure to GitOps practices
- Experience managing multi-environment setups (Dev, QA, UAT, Production)
- Knowledge of cloud cost optimization techniques
- Understanding of Kubernetes security best practices
- Experience with log aggregation tools (e.g., ELK/OpenSearch stack)
Language Preference
- Fluency in English is mandatory.
- Fluency in Hindi is preferred.
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking 4 DevOps Support Engineer to join one of our clients' teams in India who can start until 20th of July. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Job requirements
Key Responsibilities:
- Monitor and troubleshoot AWS and/or Azure environments to ensure optimal performance and availability.
- Respond promptly to incidents and alerts, investigating and resolving issues efficiently.
- Perform basic scripting and automation tasks to streamline cloud operations (e.g., Bash, Python).
- Communicate clearly and fluently in English with customers and internal teams.
- Collaborate closely with the Team Lead, following Standard Operating Procedures (SOPs) and escalation workflows.
- Work in a rotating shift schedule, including weekends and nights, ensuring continuous support coverage.
Shift Details:
- Engineers rotate shifts, typically working 4–5 shifts per week.
- Each engineer works about 4 to 5 shifts per week, rotating through morning, evening, and night shifts—including weekends—to cover 24/7 support evenly among the team
- Rotation ensures no single engineer is always working nights or weekends; the load is shared fairly among the team.
Qualifications:
- 2–5 years of experience in DevOps or cloud support roles.
- Strong familiarity with AWS and/or Azure cloud environments.
- Experience with CI/CD tools such as GitHub Actions or Jenkins.
- Proficiency with monitoring tools like Datadog, CloudWatch, or similar.
- Basic scripting skills in Bash, Python, or comparable languages.
- Excellent communication skills in English.
- Comfortable and willing to work in a shift-based support role, including night and weekend shifts.
- Prior experience in a shift-based support environment is preferred.
What We Offer:
- Remote work opportunity — work from anywhere in India with a stable internet connection.
- Comprehensive training program including:
- Shadowing existing processes to gain hands-on experience.
- Learning internal tools, Standard Operating Procedures (SOPs), ticketing systems, and escalation paths to ensure smooth onboarding and ongoing success.
2. Kubernetes Engineer
DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.
At Least 4 Years of experience in DevOps with knowledge of:
- Docker
- Docker Cloud / Containerization
- DevOps Best Practices
- Distributed Applications
- Deployment Architecture
- Atleast AWS Experience
- Exposure to Kubernetes / Serverless Architecture
Skills:
- 3-7+ years of experience in DevOps Engineering
- Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
- Experience with Docker Swarm, Docker Compose, Docker Engine
- Experience with Provisioning and managing VM's - Virtual Machines
- Experience / strong knowledge with Network Topologies, Network Research,
- Jenkins, BitBucket, Jira
- Ansible or other Automation Configuration Management System tools
- Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
- Linux Systems Administration -: Redhat
Additional Preference:
Security, SSL configuration, Best Practices
Job Description :
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
Roles & responsibilities:
- Champion engineering and operational excellence.
- Establish a solid infrastructure framework and excellent development and deployment processes.
- Provide technical guidance to both your team members and your peers from the development team.
- Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
- Be part of and help create a positive work environment based on accountability.
- Communicate across functions and drive engineering initiatives.
- Initiate cross team collaboration with product development teams to develop high quality, polished products and services.
Must haves:
- 5+ years of professional experience developing, and launching software products on Cloud.
- Basic understanding Java/Go Programming
- Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
- Deep understanding of AWS or Any Cloud.
- Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
- Good Understanding of Operating systems
- Strong technical background with track record of individual technical accomplishments
- Ability to handle multiple competing priorities in a fast paced environment
- Ability to establish credibility with smart engineers quickly.
- Most importantly, ability to learn and urge to learn new things.
- B.Tech/M.Tech in Computer Science or a related technical field.
Good to Have:
- Hands-on knowledge of Configuration Management and Deployment tools like – Ansible, Terraform etc.
- Proficient in scripting, and Git and Git workflows
- Experience in developing Continuous Integration/ Continuous Delivery pipelines
- Knowledge of Big Data systems.
Responsibilities:
- Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
- Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
- Creating the Architecture Diagrams and documentation for various pieces
- Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response
Requirements:
- 3 - 5 years of professional experience as a DevOps / System Engineer.
- Strong knowledge in Systems Administration & troubleshooting skills with Linux.
- Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
- Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
- Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
- Experience in Infrastructure as code development using Terraform.
- Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
- Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
- Experience with GIT Version Control Software.
- Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
- Strong interpersonal and communication skills; ability to work in a team environment.
- AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
- Setup and management of a Kubernetes cluster, including writing Docker files.
- Experience working in and advocating for agile environments.
- Knowledge in Microservice architecture.
Radical is a platform connecting data, medicine and people -- through machine learning, and usable, performant products. Software has never been the strong suit of the medical industry -- and we are changing that. We believe that the same sophistication and performance that powers our daily needs through millions of consumer applications -- be it your grocery, your food delivery or your movie tickets -- when applied to healthcare, has a massive potential to transform the industry, and positively impact lives of patients and doctors. Radical works with some of the largest hospitals and public health programmes in India, and has a growing footprint both inside the country and abroad.
As a DevOps Engineer at Radical, you will:
Work closely with all stakeholders in the healthcare ecosystem - patients, doctors, paramedics and administrators - to conceptualise and bring to life the ideal set of products that add value to their time
Work alongside Software Developers and ML Engineers to solve problems and assist in architecture design
Work on systems which have an extraordinary emphasis on capturing data that can help build better workflows, algorithms and tools
Work on high performance systems that deal with several million transactions, multi-modal data and large datasets, with a close attention to detail
We’re looking for someone who has:
Familiarity and experience with writing working, well-documented and well-tested scripts, Dockerfiles, Puppet/Ansible/Chef/Terraform scripts.
Proficiency with scripting languages like Python and Bash.
Knowledge of systems deployment and maintainence, including setting up CI/CD and working alongside Software Developers, monitoring logs, dashboards, etc.
Experience integrating with a wide variety of external tools and services
Experience navigating AWS and leveraging appropriate services and technologies rather than DIY solutions (such as hosting an application directly on EC2 vs containerisation, or an Elastic Beanstalk)
It’s not essential, but great if you have:
An established track record of deploying and maintaining systems.
Experience with microservices and decomposition of monolithic architectures
Proficiency in automated tests.
Proficiency with the linux ecosystem
Experience in deploying systems to production on cloud platforms such as AWS
The position is open now, and we are onboarding immediately.
Please write to us with an updated resume, and one thing you would like us to see as part of your application. This one thing can be anything that you think makes you stand apart among candidates.
Radical is based out of Delhi NCR, India, and we look forward to working with you!
We're looking for people who may not know all the answers, but are obsessive about finding them, and take pride in the code that they write. We are more interested in the ability to learn fast, think rigorously and for people who aren’t afraid to challenge assumptions, and take large bets -- only to work hard and prove themselves correct. You're encouraged to apply even if your experience doesn't precisely match the job description. Join us.









