Lead the Change at OpsTree!
Be part of a team where your ideas drive real change and shape industry breakthroughs.
Why OpsTree?
Because We Put Our People First.
We recognize that true success comes from investing in what matters most—our team. Join us, and experience a workplace where your potential is valued, and your contributions truly matter.
Our Core Values
Knowledge Propels Growth
Recognizing that continuous learning and expertise are catalysts for progress and development.
Unwavering Commitment to Ethics
Upholding integrity, honesty, and transparency in all aspects of our operations.
Lead by Focus
Striving for innovation and credibility in the realm of digital transformation, ensuring that our promises are consistently delivered upon.
Driving Customer Excellence
We achieve excellence by deeply understanding client needs and consistently exceeding expectations with exceptional, proactive service.
Featured Jobs
Current Openings
GCP DevOps Engineer
04 - 08 Years
Mumbai
Job Description
Role Overview
We're looking for a Mid-Level DevOps Engineer who is past the 'figuring out the tools' stage and ready to own
services end-to-end. You will be embedded in a POD supporting one or more JioMedia products, shipping
infrastructure changes through code, keeping production healthy, and sharpening the CI/CD and observability
practices around you.
You will work alongside senior engineers who will back you up on the harder calls, but you are expected to drive
your work, not wait to be driven.
Key Responsibilities
- Own day-to-day operations for services in your POD — deployments, scaling, on-call, capacity and cost.
- Build and maintain Terraform modules, Helm charts and Argo CD workflows for your POD's services.
- Write and evolve Azure DevOps pipelines — test gates, artifact publishing, environment promotion, progressive rollouts
- Participate in on-call rotation, respond to incidents, and write useful postmortems.
- Instrument services in New Relic and Prometheus — dashboards, SLOs, actionable alerts.
- Harden security posture in your scope — IAM, secrets, network policies, workload identity.
- Use AI tools (Claude and similar) as a daily collaborator — for code review, runbook drafting, RCA assistance and documentation.
- Contribute to internal platform work — reusable modules, shared pipelines, standardization across products.
- Support junior engineers and vendor team members - review their PRs, pair on tricky debugging.
- 4–6 years of DevOps / SRE / Platform Engineering experience, with production ownership (not just POC work).
- Strong hands-on Kubernetes — Deployments, Services, Ingress, HPA, RBAC; comfortable debugging podlevel and cluster-level issues.
- Working fluency in GCP (preferred) or AWS/Azure — IAM, networking, managed databases, load balancing.
- Solid Terraform — you can write, refactor and review modules with confidence
- Hands-on CI/CD — Azure DevOps Pipelines preferred, or equivalent (GitHub Actions, GitLab CI, Jenkins)
- Scripting or programming in Python, Go or Bash — strong enough to automate real operational work
- Comfortable with Linux, networking fundamentals (DNS, TLS, HTTP/2, load balancing) and systems troubleshooting
- Observability experience with New Relic, Prometheus/Grafana or similar — dashboards and alerts you've actually owned
- Clear written communication — PR descriptions, design notes, runbooks
- A growth mindset — you ask questions, take feedback, and level up fast
- Exposure to OTT / streaming infrastructure — CDN, video pipelines, high-throughput APIs
- Experience with service mesh (Istio / Anthos), Argo CD or progressive delivery tooling
- Familiarity with security tooling — WAF, DLP, SAST/DAST, supply chain security
- Hands-on use of LLMs in engineering workflows — Claude Code, MCP servers, agentic automations
- Certifications — CKA, GCP Associate/Professional Cloud Engineer, Terraform Associate
AWS Devops Engineer
04 - 06 Years
Noida/Bangalore
Job Description
Role Overview
We are looking for a highly skilled DevOps Engineer with 4+ years of hands-on experience in AWS cloud infrastructure, container orchestration, Kubernetes, and infrastructure automation. The ideal candidate must have strong expertise in Amazon ECS, Kubernetes, Terraform, Linux systems, monitoring integrations, and AWS cost optimization strategies.
This role requires deep understanding of cloud-native architecture, CI/CD automation, container orchestration, infrastructure-as-code, and production-grade monitoring.
Key Responsibilities
- Design, deploy, and manage containerized workloads using Amazon Elastic Container Service (ECS).
- Deploy and manage Kubernetes clusters (EKS or self-managed).
- Provision and manage cloud infrastructure using Terraform (modules, remote state, reusable components).
- Configure and manage monitoring and observability using Datadog.
- Integrate and maintain code quality pipelines using SonarQube.
- Implement AWS cost optimization strategies including rightsizing, Reserved Instances, Savings Plans, tagging strategies, and budget monitoring.
- Administer and troubleshoot Linux-based production environments.
- Design and maintain CI/CD pipelines for automated build, test, and deployment workflows.
- Ensure high availability, scalability, and security of cloud infrastructure.
- Collaborate with development teams for performance tuning and release management.
-
Cloud & AWS
- Strong understanding of core AWS concepts: EC2, S3, IAM, VPC, RDS, ALB/NLB, Auto Scaling, CloudWatch
- Hands-on experience with ECS (Fargate & EC2 launch types)
- Experience working with Amazon Elastic Kubernetes Service (EKS) preferred
- Proven experience in AWS cost monitoring and optimization
-
Containerization & Orchestration
- Strong hands-on experience with Kubernetes (deployments, services, ingress, config maps, secrets)
- Experience managing clusters, scaling workloads, and troubleshooting pod/network issues
- Understanding of container networking and service mesh concepts
- Good knowledge of Docker
-
Infrastructure as Code
- Strong expertise in Terraform (state management, modules, remote backends)
- Experience in writing reusable and scalable Terraform modules
-
Linux & Scripting
- Strong knowledge of Linux system administration (Ubuntu/CentOS/Amazon Linux)
- Shell scripting (Bash) and troubleshooting skills
- Log monitoring and performance tuning
-
Monitoring & Code Quality
- Experience integrating Datadog for metrics, logs, and APM
- Experience configuring SonarQube in CI/CD pipelines
-
CI/CD & DevOps Practices
- Experience building and maintaining CI/CD pipelines
- Understanding of Git-based workflows
- Knowledge of DevOps and Agile best practices
Gen AI Architect
08+ Years
Noida
Job Description
Key Responsibilities
- Design and develop end-to-end AI/ML solutions, including robust data ingestion pipelines and real-time processing frameworks.
- Architect high-performance data layers for GenAI, including vector databases, graph databases, and distributed storage systems.
- Define and implement AI & Data strategies, ensuring data quality, privacy, and "LLM-ready" datasets are at the core of innovation.
- Build scalable, production-ready architectures that support Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows.
- Collaborate with engineering, product, and data teams to ensure seamless integration of AI models with enterprise data sources.
- Lead pre-sales activities, articulating the value of data-driven AI solutions to clients and conducting technical requirement analysis.
- Drive market-ready updates, staying ahead of trends in DataOps, LLMOps, and synthetic data generation.
- Establish data governance and ethics within AI solutions, focusing on bias detection, data lineage, and security.
- Support proposal creation, providing technical estimations for data infrastructure and model development.
- Strong experience in AI/ML, Deep Learning, and Data Science, with a focus on Transformer architectures and NLP.
- Expertise in Data Engineering & Infrastructure, including experience with Big Data tools (Spark, Snowflake, or Databricks) and Vector DBs (Pinecone, Weaviate, or Milvus).
- Hands-on experience with frameworks like TensorFlow, PyTorch, LangChain, or LlamaIndex.
- Expertise in solution architecture, specifically designing scalable pipelines for unstructured data processing.
- Experience in pre-sales or client-facing roles, with the ability to explain complex data/AI concepts to non-technical stakeholders.
- Strong understanding of Cloud Platforms (AWS, Azure, or GCP) and their native AI/Data services (e.g., SageMaker, Bedrock, or Vertex AI).
- Familiarity with LLMOps and DataOps practices for continuous integration and deployment of models.
GCP DevOps Engineer
02 - 04 Years
Andheri East, Mumbai
Job Description
Key Responsibilities
- Automate Everything: Automate infrastructure and operational processes ensuring reliability and security.
- Cloud Infrastructure Design: Gather GCP infrastructure requirements, evaluate solution options, and implement best-fit architectures.
- Infrastructure as Code: Design, develop, and maintain infrastructure using Terraform and Ansible.
- CI/CD Ownership: Build, manage, and maintain robust CI/CD pipelines using Jenkins, ensuring system reliability and performance.
- Container Orchestration: Manage Docker containers and self-managed Kubernetes clusters on multiple cloud environments.
- Monitoring & Observability: Implement and manage cloud-native monitoring using Prometheus, Grafana, and ELK stack.
- Proactive Issue Resolution: Troubleshoot and resolve infrastructure and application issues during development, testing, and production phases.
- Scripting and Automation: Write efficient scripts in Python and either Node.js, Go, or Shell.
- Security Best Practices: Maintain and enhance the security of cloud services, Kubernetes clusters, and deployments.
- Collaborate with cross-functional teams to design and deploy secure, scalable infrastructure.
AI Engineer
03-05 Years
Gurgaon
Job Description
Job Summary
We are seeking a skilled AI Engineer with deep Python proficiency and AWS expertise to build, deploy, and scale AI/ML solutions. You will leverage services like Bedrock for generative AI workflows, collaborating across teams to deliver production-ready models that solve real business challenges.
Responsibilities
- Design and develop ML models using Python libraries (e.g., TensorFlow, PyTorch, scikit-learn) for tasks like predictive analytics, NLP, and computer vision.
- Build end-to-end pipelines on AWS, including data ingestion (S3/Glue), training (SageMaker), deployment (Lambda/EC2), and generative AI via Bedrock for custom agents, fine-tuning, and RAG applications.
- Integrate Bedrock with other AWS services (e.g., Lambda, API Gateway) to create scalable, secure APIs for foundation models like Anthropic Claude or Stability AI.
- Optimize models for performance, cost, and reliability; implement monitoring (CloudWatch) and CI/CD for MLOps.
- Experiment with prompt engineering, model evaluation, and hybrid solutions combining custom ML with Bedrock's managed capabilities.
Required Qualifications
- Bachelor's/Master's in Computer Science, Data Science, or related field.
- 4+ years in AI/ML engineering, with advanced Python skills for data pipelines, APIs, and ML workflows.
- Hands-on AWS experience: SageMaker, S3, Lambda, EC2, and specifically Bedrock for generative AI development and deployment.
- Strong ML fundamentals: feature engineering, hyperparameter tuning, evaluation metrics, and deployment best practices.
- Proficiency in SQL/NoSQL, Git, and containerization (Docker)
Preferred Skills
- AWS certifications (e.g., Machine Learning Specialty, Bedrock-focused training).
- Experience with LLMs, vector databases (e.g., Pinecone via Bedrock), and RAG architectures.
- Knowledge of Kubernetes (EKS) and Terraform for infrastructure as code
Senior DevOps Specialist
05 - 08 Years
NCR/Bangalore
Job Description
Key Responsibilities:
- Implement and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation.
- Drive continuous integration and continuous deployment (CI/CD) pipelines to automate software delivery.
- Containerize applications using Docker and orchestrate with Kubernetes for scalability and reliability.
- Maintain version control systems (e.g., Git) to manage codebase effectively.
- Set up monitoring and logging solutions to ensure performance and reliability of systems.
- Automate manual processes and tasks to improve efficiency and reduce errors.
- Write scripts (e.g., Bash, Python) to automate repetitive tasks and streamline operations.
- Implement security best practices and ensure compliance across the infrastructure.
- Collaborate with cross-functional teams to streamline development, testing, and deployment processes.
- Embrace agile methodologies to foster a culture of continuous improvement and innovation.
Technical Skills:
- Proficiency in cloud platforms (AWS, Azure, Google Cloud) and related services.
- Strong experience with Kubernetes and Docker.
- Hands-on experience with CI/CD tools (Jenkins, GitLab CI).
- Knowledge of Infrastructure as Code (Terraform, CloudFormation, Ansible).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack, CloudWatch).
- Programming Skills: Proficiency in scripting languages (Bash, Python, or similar).
Python Developer
04 Years
Hyderabad
Job Description
As a Python Developer, you will design and implement automated solutions across cloud infrastructure, testing frameworks, and CI/CD pipelines. Your focus lies in building scalable microservices, developing intelligent automation frameworks, and integrating GenAI-driven enhancements to accelerate testing, provisioning, and deployment workflows.
Key Responsibilities:
- Cloud Automation & Infrastructure
- Develop end-to-end automation scripts in Python for AWS services including S3, IAM, EC2, and Lambda.
- Design and simulate IAM roles and access policies to ensure secure and least-privilege access control.
- Automate provisioning and configuration of S3 buckets, networking, and resource policies.
- Test Automation & BDD Frameworks
- Architect and maintain a Behavior-Driven Development (BDD)-based end-to-end test automation framework using tools like Behave/Pytest-BDD.
- Implement automated validation for RESTful APIs, ensuring integration reliability across distributed systems.
- Integrate test automation into CI/CD pipelines for continuous validation and deployment.
- Maintain reusable pipeline templates for multi-environment deployments.
- Implement containerized workflows and automate image builds using Docker and Helm.
- GenAI-Driven Automation
- Explore and integrate Generative AI models to enhance automation insights, test data generation, and anomaly detection.
- Leverage AI pipelines for predictive analysis and intelligent failure triaging within test frameworks.
- Microservices & API Development
- Develop modular microservices and REST APIs in FastAPI/Flask for automation and orchestration.
- Ensure high availability, logging, and observability through metrics and tracing integrations.
Tech Stack:
Frameworks: FastAPI, Pytest-BDD, Behave
Cloud & DevOps: AWS (IAM, S3, EC2, Lambda), Kubernetes, Docker, Terraform
CI/CD: Jenkins, GitHub Actions
AI/ML: OpenAI / GenAI Integrations
Version Control: Git, GitHub
Monitoring: CloudWatch, Splunk, Prometheus
Application Security Developer
03+ Years
Hyderabad
Job Description
Key Responsibilities
- Implement automation and enhance security tooling through coding.
- Perform hands-on code reviews of Java-based web applications.
- Conduct penetration testing on web applications across on-prem and public cloud environments
- Collaborate with teams to identify, exploit, and remediate vulnerabilities
- Adapt quickly to new technologies and apply them to security challenges
Required Skills
- Understanding of HTTP(s), TLS, mTLS, OAuth, and web application stack components
- Hands-on knowledge of OWASP Top 10 Security Concepts
- Experience with penetration testing tools (e.g., Burp Suite)
- In-depth knowledge of attack payloads for discovering vulnerabilities
- Ability to build realistic attack scenarios considering business logic
- Strong skills in enumerating and testing complex authentication & authorization models
Coding & Automation Skills
- Proficiency in : Java, JavaScript
- Experience with Git and IDEs for efficient development
- Hands-on experience in code reviews (preferably Java-based web applications)
- Ability to adapt to newer technologies quickly
- Strong problem-solving and implementation skills for automation
SRE Lead
05+ Years
Gurugram
Job Description
Position Overview
SRE- Lead will be responsible for managing a team of engineers focused on software deployments and site reliability engineering practices. The role will involve overseeing the deployment process of software applications and services, implementing automation, monitoring, and alerting tools, and ensuring the reliability, availability, and performance of critical systems and services. The Deployments and SRE Manager will collaborate closely with development, operations, and other stakeholders to drive a culture of DevOps and SRE, aiming to improve system stability, scalability, and resilience.
Key Responsibilities
- Leadership: Lead and mentor a team of engineers responsible for software deployments and SRE practices. Set clear expectations, provide coaching and feedback, and foster a collaborative and innovative team environment.
- Deployment Management: Implement and manage the deployment process for software applications and services, including Monthly release management of AADL products, change management, and rollback procedures. Drive continuous improvement in deployment processes and tools to increase efficiency and minimize risk.
- Site Reliability Engineering: Implement best practices in site reliability engineering, including system monitoring, alerting, capacity planning, performance optimization, and incident management. Collaborate with development teams to ensure application architectures are resilient and scalable, and drive the adoption of DevOps and SRE principles and practices.
- Automation and Tooling: Evaluate, implement, and maintain relevant automation and tooling to streamline operational tasks, reduce manual effort, and improve system reliability. This may include configuration management, containerization, and orchestration technologies, well versed with Blue Green and Canary Deployment Model.
- Incident Management: Lead incident management efforts, including incident response, root cause analysis, and post-incident reviews. Collaborate with cross-functional teams to minimize impact and restore services as quickly as possible. Implement preventive measures to avoid future incidents and drive continuous improvement in incident management processes.
- Monitoring and Alerting: Implement and maintain effective system monitoring and alerting tools to proactively detect and resolve issues. Define and track key performance indicators (KPIs) and service level objectives (SLOs) to measure system reliability, performance, and availability.
- Collaboration: Collaborate closely with development, operations, security, network and other stakeholders to ensure smooth operations and timely resolution of issues. Foster strong relationships and effective communication channels to promote collaboration and coordination.
- Documentation: Maintain comprehensive documentation of deployment processes, system configurations, procedures, and incident reports. Ensure documentation is up-to-date, accurate, and accessible to relevant stakeholders.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Minimum of 5 years of experience in software engineering, DevOps, deployments, or site reliability engineering.
- Strong technical skills in deployment processes and tools, such as release management, change management, and rollback procedures.
- Proficient in scripting and automation using tools like Python, Bash, or PowerShell.
- Solid understanding of DevOps principles, Agile methodologies, and ITIL practices.
- Strong technical skills in CI/CD tools and practices, such as Jenkins, Git, Docker, Kubernetes, and related technologies.
- Strong leadership skills with experience in managing and mentoring technical teams.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently, prioritize tasks, and manage time effectively.
- Experience with incident management tools and processes, such as ITIL Incident Management, and familiarity with ITSM frameworks.
- In-depth knowledge of relational database management systems (RDBMS) such as Oracle, Microsoft SQL Server, MySQL, or PostgreSQL.
- Knowledge of cloud computing platforms, preferably AWS is a plus.
- Relevant certifications, such as AWS Certified DevOps Engineer, Kubernetes Certified Administrator, or Site Reliability Engineering (SRE) certifications, Grafana expertise are desirable.
Senior QA Manual & Automation
05-08 Years
Gurugram/Noida
(Work from office)
Job Description
Job Summary:
We are looking for an experienced Senior Quality Analyst to elevate our testing practices
across manual, automation, and database domains. You will lead quality assurance for
complex applications, leveraging Java and Selenium for automation, SQL for database
validation, and rigorous bug triage to ensure robust, reliable software delivery. This role
involves mentoring juniors, optimizing test strategies, and collaborating with development
teams to reduce defects in production.
Key Responsibilities
- Design, execute, and maintain comprehensive manual test cases, including
functional, regression, and exploratory testing. - Develop and enhance automation frameworks using Java and Selenium WebDriver,
integrating with tools like TestNG/JUnit, Maven, and CI/CD pipelines (e.g., Jenkins). - Perform database testing with advanced SQL queries to validate data integrity, ETL
processes, stored procedures, and performance under load. - Lead bug testing and defect management: triage issues, reproduce bugs, perform
root cause analysis, and track resolutions using tools like JIRA or Bugzilla. - Collaborate with developers, product owners, and stakeholders to define test
strategies, automate repetitive tests, and improve overall test coverage. - Mentor junior analysts, conduct code reviews for automation scripts, and contribute
to process improvements like shift-left testing.
Required Qualifications
- Bachelor's/Master's in Computer Science, IT, or related field.
- 5+ years in QA, with proven hands-on experience in manual and automation testing
using Java and Selenium. - Strong proficiency in database testing: SQL (queries, joins, indexing), tools like
Oracle, MySQL, or PostgreSQL. - Expertise in bug lifecycle management, test case design, and tools like Postman for
API testing. - Familiarity with Agile/Scrum methodologies and version control (Git).
- Excellent analytical skills and attention to detail for high-stakes defect identification.
Preferred Skills
Preferred Skills
- Automation frameworks: BDD with Cucumber, Appium for mobile, or Playwright.
- Performance testing tools (JMeter) and cloud testing (AWS/Azure).
- ISTQB certification or equivalent.
- Experience with microservices, REST APIs, and containerization (Docker).
Senior PostgreSQL Database Administrator (DBA)
05+ Years
Gurugram
Onsite / WFO
Technical Architect
08-12 Years
Noida
Job Description
Job Summary:
We are looking for an experienced PostgreSQL Database Administrator (DBA) with strong hands-on expertise in managing, optimizing, and securing PostgreSQL databases in production environments. The ideal candidate should have experience in high-availability setups, performance tuning, backup/restore strategies, and full lifecycle database management. Experience with MongoDB and Redis is a plus.
Key Responsibilities
- Manage and maintain PostgreSQL databases across development, testing, and production environments.
- Perform installation, configuration, upgrades, patching, and migrations.
- Implement backup, recovery, and high-availability (HA/DR) solutions such as Streaming Replication, Logical Replication, Patroni, pgBackRest, etc.
- Conduct performance tuning, query optimization, indexing strategies, and capacity planning.
- Monitor and troubleshoot database performance, slow queries, locking issues, and resource bottlenecks.
- Ensure database security, access control, encryption, auditing, and compliance.
- Manage schema design, data modeling, and database refactoring.
- Automate database tasks using Shell/Python scripts.
- Maintain documentation for configurations and troubleshooting steps.
- Collaborate with DevOps, engineering, and product teams for performance improvements.
- Optional: Administer MongoDB and Redis including replication, clustering, and performance tuning.
Mandatory Skills PostgreSQL
- PostgreSQL administration (5+ yrs)
- SQL performance tuning & query optimization
- Indexing strategies, vacuum/analyze operations
- Backup & Recovery (pg_dump, pgBackRest, WAL archiving)
- High Availability & Replication (Streaming, Logical, Patroni)
- PostgreSQL Security (RBAC, SSL/TLS)
- Monitoring tools: pgAdmin, pgBadger, Prometheus, Grafana, pgbouncer
- Database migrations & upgrades
Business Development Manager
02 Openings
06–10 Years
Bangalore / Hyderabad
Job Description
Key Responsibilities
- Drive net-new customer acquisition for technology services and SaaS offerings
- Own the end-to-end B2B enterprise sales cycle: prospecting, discovery, proposal, negotiation, and closure
- Build and leverage a strong regional network to generate qualified leads and opportunities
- Engage with CXOs, IT Heads, and decision-makers to position solutions effectively
- Collaborate with pre-sales and delivery teams to craft value-driven proposals
- Meet and exceed revenue targets through strategic account planning
Required Skills & Experience
- Proven experience in Technology / SaaS / IT Services sales
- Strong understanding of AWS, Cloud, and Platform-based solutions
- Hands-on experience with enterprise B2B sales cycles
- Established regional market presence and operational knowledge
- Excellent communication, negotiation, and stakeholder management skills
Ideal Candidate
- Self-driven field sales professional with a hunter mindset
- Comfortable selling complex technology solutions to enterprises
- Strong business acumen and relationship-building capability
Lead - Inside Sales Specialist/ Demand Gen Lead
06+ Years
Noida
Job Description
Key Responsibilities
- Own multi-channel outbound prospecting across calls, emails, LinkedIn, and WhatsApp
- Drive lead generation and MQL qualification for India & GCC enterprise and mid-market accounts
- Conduct account research and build a well-defined target account universe (TAM)
- Lead first-level discovery conversations to understand customer pain points and position value-led solutions
- Qualify opportunities based on BANT/ICP criteria and hand off to field sales effectively
- Maintain accurate CRM hygiene and pipeline reporting
Required Skills & Experience
- 6+ years of experience in Inside Sales / Demand Generation / SDR leadership
- Strong exposure to B2B outbound sales motions
- Hands-on working knowledge of Apollo, Lusha, and LinkedIn Sales Navigator
- Experience selling Technology / SaaS / IT Services is preferred
- Excellent communication, objection-handling, and stakeholder engagement skill
Ideal Candidate
- Data-driven demand generation professional with a hunter mindset
- Strong at research, personalization, and value-based outreach
- Comfortable engaging with senior stakeholders across regions
Partnerships / Alliances Lead (AWS & BuildPiper)
07–10 Years
Bangalore / Noida
Job Description
Key Responsibilities
- Build, scale, and manage the partner ecosystem across AWS and BuildPiper alliances
- Drive co-sell motions and joint GTM execution with hyperscalers and ISV partners
- Own channel-led revenue growth, pipeline creation, and deal closure through partners
- Identify, onboard, and enable strategic partners to expand market reach
- Work closely with sales, marketing, and delivery teams to execute partner-led opportunities
- Track partner performance, joint pipeline, and GTM effectiveness
Required Skills & Experience
- Proven experience in hyperscaler (AWS) and ISV partnership management
- Strong understanding of cloud, platform, and DevOps ecosystems
- Hands-on experience with co-sell models, partner programs, and MDF usage
- Ability to manage executive-level relationships with strategic partners
- Strong commercial, negotiation, and stakeholder management skills
Ideal Candidate Profile
- Strategic alliance leader with a growth mindset
- Comfortable operating in fast-paced technology services environments
- Strong at translating partnerships into measurable revenue impact
Sr. DevOps Engineer
05 - 06 Years
Noida
Job Description
We are looking for a DevOps Specialist to help design, build, and scale cloud-native infrastructure and automation for our product BuildPiper. You will work closely with product engineering, security, and platform teams to enable reliable, secure, and efficient software delivery across multi-cloud environments.
Key Responsibilities
- Design, build, and manage cloud-native infrastructure across AWS, Azure, or GCP
- Deploy, manage, and optimize Kubernetes clusters and workloads
- Design and maintain CI/CD pipelines for product and customer environments
- Implement Infrastructure as Code (IaC) using Terraform
- Automate operational tasks using scripting (Python preferred)
- Integrate security best practices into CI/CD pipelines (DevSecOps)
- Monitor, troubleshoot, and improve system reliability, performance, and scalability
- Collaborate with engineering teams to support product releases and platform enhancements
- Contribute to architecture decisions and DevOps best practice
Required Skills & Qualifications
- Strong experience with at least one cloud platform: AWS / Azure / GCP
- Hands-on experience with Kubernetes (deployment, scaling, networking, troubleshooting)
- Solid experience building and managing CI/CD pipelines
- Strong knowledge of Terraform for infrastructure provisioning
- Proficiency in scripting, preferably Python
- Understanding of Linux systems, networking, and containers (Docker)
- Familiarity with DevSecOps concepts and secure SDLC practices
Site Reliability Engineer
02-05 Years
Noida
Work Mode: Rotational Shifts, 24*7 production support
Job Description
Key Responsibilities
- Strong understanding of Linux/Unix systems for application support
- Hands-on experience in troubleshooting application issues in staging and production environments
- Experience in monitoring system performance and identifying root causes through log insights
- Hands-on experience with Kubernetes and microservices-based application stacks
- Skilled in leveraging observability platforms such as Grafana, Loki, and ELK (Elasticsearch, Logstash, Kibana) for troubleshooting and monitoring
- Familiarity with CI/CD practices and tools (e.g., Jenkins, GitOps)
- Experience with API testing and validation using tools such as Postman and Swagger/OpenAPI
- Hands-on experience with PostgreSQL and MongoDB for troubleshooting application data issues and performing ad-hoc reporting
- Experience with Jira, Confluence, or similar tools for ticketing and documentation
- Minimum of 3 years of relevant experience in application support or reliability engineering
- Bachelor’s degree in computer science, Information Technology, or a related field
- IT certifications (Cloud, Microservices, Kubernetes) considered an advantage).
Budget: 10-12 lpa
Kafka
03 - 05 Years
Gurugram
Job Description
Key Responsibilities
- Basic understanding of OpenShift basics (pods, deployments, services, routes/ingress, namespaces, logs, events).
- Experience 3 – 5 years
- Solid Understanding of Kafka operations: topics, partitions, producers/consumers, offsets, consumer groups.
- Basic Understanding of ActiveMQ JMS Address/Queue, Address settings (DLQ, expiry queue, redelivery delay)
- Familiar with Strimzi/AMQ Streams CRs (Kafka, KafkaTopic, KafkaUser) and Operator lifecycle.
- Proficiency with CLI tools: oc, kubectl, Kafka CLI, AMQ CLI ,reading pod logs and events.
- Kafka and AMQ Console Hands-on.
- Understanding of monitoring & alerting workflows, ticket lifecycle, SLAs.
- Strong communication, documentation, and shift-handover discipline.
- Strong troubleshooting for ISR/URP, leader election, rebalance, lag, and broker/storage/network issues.
- Experience with Kafka Connect, Kafka Bridge, and connector operations, Kafka Mirror
- Security: TLS/mTLS, SASL/SCRAM, OAuth/OIDC (Keycloak), cert rotation, RBAC, network policies.
- Lead complex incident resolution (broker instability, partition reassignments, consumer lag spikes, connectivity/auth failures).
- Perform RCA, impact analysis, and preventive actions.
- Tune broker/topic configs (retention, cleanup policy, partitions, replication factors).
- Plan and execute capacity upgrades, scaling, and storage adjustments.
- Manage AMQ Streams/Strimzi versions, CRD updates, rolling upgrades of Kafka components; validate post-change health.
- Observability: Designing Prometheus alerts, Grafana dashboards, log pipelines (EFK/Loki), capacity/performance baselining.
Android Developer
04+ Years
Mumbai
Job Description
About the Role
We are looking for a passionate and experienced Android Developer to join our engineering team and contribute to the development of scalable, high-performance Android applications. The ideal candidate should have strong expertise in modern Android development using Kotlin, Jetpack Compose, Clean Architecture, and Android best practices.
You will be responsible for building robust mobile and Android TV applications, optimizing performance, ensuring code quality, and collaborating closely with cross-functional teams to deliver exceptional user experiences.
Experience Required
- 4+ Years of hands-on Android Development experience
- Strong experience in designing, developing, and maintaining production-grade Android applications
Key Responsibilities
- Design, develop, and maintain scalable Android applications using modern development practices.
- Build responsive and intuitive user interfaces using Jetpack Compose.
- Implement robust application architectures such as MVVM, MVI, and Clean Architecture.
- Develop and integrate RESTful APIs and backend services.
- Optimize application performance, stability, and responsiveness.
- Identify and resolve ANRs, memory leaks, and performance bottlenecks.
- Implement local data storage solutions using Room Database and DataStore.
- Utilize Dependency Injection frameworks such as Hilt/Dagger for scalable application design.
- Write clean, reusable, maintainable, and testable code.
- Develop unit tests and ensure code quality through testing frameworks.
- Monitor application health using Firebase Crashlytics and Analytics.
- Participate in code reviews, sprint planning, and Agile development processes.
- Collaborate with Product Managers, Designers, QA teams, and other stakeholders to deliver high-quality solutions.
Frontend Web Developer
04+ Years
Navi Mumbai
Job Description
Primary Skills (Mandatory)
•JavaScript and TypeScript
•React.js
•Redux Toolkit, React Query, Axios
•HTML5, CSS3, Tailwind CSS
•Responsive Web Design and PWA
•REST API integration
•Performance Optimization
•Git and CI/CD
AI-Driven Development Skills (Preferred)
•Claude AI assisted development workflow
•Cursor AI IDE productivity workflow
Good to Have Skills
•GraphQL
•Docker
•GCP, Azure
Responsibilities
•Develop scalable frontend web applications
•Build reusable and responsive UI components
•Integrate APIs and backend services
•Optimize performance, Write maintainable and testable code
•Participate in Agile/Scrum activities
•Collaborate with backend, QA, and design teams
•Debug and resolve production issues
Soft skills
•Problem solving and debugging systematically
•Reading documentation and source code
•Estimating tasks and communicating blockers
•Writing clear tech docs
Exp: 4-8 years, Budget: 15-20 LPA, Location: Navi Mumbai, Availability- Immediate
L3 – Azure Cloud Architect / FinOps & DevSecOps Lead
08 - 12 Years
Remote
Job Description
Key Scope of Work
Enterprise Azure Architecture & Governance- Lead enterprise Azure architecture design, cloud landing zones, governance frameworks, subscription hierarchy, management groups, and platform standardization.
- Define cloud governance standards, policy management, tagging governance, environment segregation, and operational governance frameworks.
- Design highly available, scalable, secure, and resilient cloud architectures aligned with enterprise growth requirements.
- Define enterprise HA/DR strategy, backup governance, business continuity planning, and resiliency standards.
- Define scalable AKS architecture, Kubernetes governance standards, cluster segmentation, ingress architecture, and workload isolation strategies.
- Lead container platform modernization, workload governance, scalability optimization, and platform resiliency initiatives.
- Define observability-integrated AKS architecture with centralized monitoring, distributed tracing, service mesh strategy, and operational telemetry.
- Define HPA/VPA governance, deployment architecture, resource optimization standards, and workload deployment governance.
- Lead enterprise networking architecture covering VNET segmentation, ExpressRoute, VPN, firewall architecture, WAF governance, DNS governance, CDN integration, and secure hybrid connectivity.
- Define secure network segmentation models, zero-trust architecture, traffic governance, and infrastructure hardening standards.
- Lead IAM strategy, RBAC governance, privileged access governance, and enterprise security architecture initiatives.
- Drive security standardization across Azure, GCP, AKS, CDN platforms, databases, and observability tooling.
- Define and execute enterprise-wide cloud optimization roadmaps targeting sustained infrastructure spend reduction below ₹50L/month.
- Lead long-term infrastructure optimization initiatives focused on reducing cloud overhead while maintaining platform scalability and operational stability.
- Conduct enterprise workload utilization reviews, infrastructure rationalization, modernization assessments, and optimization governance reviews.
- Drive strategic optimization initiatives across AKS, Azure VMs, networking, databases, CDN platforms, observability tooling, storage layers, and cloud-native workloads.
- Define cloud financial governance standards, cost allocation models, optimization governance frameworks, and infrastructure efficiency initiatives.
- Lead enterprise FinOps governance covering Reserved Instances, Savings Plans, Spot strategy, autoscaling optimization, compute rightsizing, and storage lifecycle optimization.
- Define cloud utilization governance, budget forecasting, optimization governance, and proactive savings initiatives.
- Drive optimization reviews across AKS node utilization, database workloads, observability platforms, CDN traffic optimization, and storage utilization.
- Lead environment rationalization, idle resource cleanup initiatives, workload modernization strategy, and infrastructure consolidation programs.
- Present savings roadmaps, optimization dashboards, infrastructure efficiency metrics, and cost governance reviews to leadership stakeholders.
- Define operational and optimization strategy for ScyllaDB, MongoDB, Redis, Azure SQL, HDInsight, and Azure Data Explorer environments.
- Lead performance engineering and infrastructure optimization initiatives for distributed databases and large-scale data platforms.
- Define JioCDN and Fastly CDN optimization strategy including cache governance, edge routing optimization, traffic management, and CDN cost optimization.
- Lead multi-cloud governance across Azure, GCP, Firebase, BigQuery, Cloud Run, and Airflow operational environments.
- Drive centralized governance and integrated optimization across hybrid and multi-cloud infrastructure platforms.
- Define enterprise observability architecture, centralized logging strategy, monitoring governance, distributed tracing standards, and APM governance frameworks.
- Lead CloudXP onboarding governance, telemetry standardization, alert governance, and enterprise operational visibility initiatives.
- Define cross-platform alerting standards, escalation governance, incident visibility frameworks, and centralized operational governance models.
- Lead reliability engineering initiatives including SLA governance, SLO definitions, RCA governance, resiliency engineering, scalability assessments, and capacity planning.
- Drive operational excellence programs focused on reducing alert fatigue, improving observability maturity, and increasing platform reliability.
- Lead internal/external VA/PT governance, remediation tracking, audit readiness, compliance governance, and enterprise security operations.
- Define enterprise DevSecOps strategy covering CI/CD security governance, deployment security standards, secret management, and release governance.
- Lead infrastructure hardening initiatives, proactive compliance remediation, and security automation programs.
- Drive governance across Azure Defender, WAF policies, IAM controls, RBAC governance, and cloud-native security tooling.
- Define Infrastructure as Code (IaC) standards using Terraform/Bicep and enforce enterprise deployment governance.
- Lead CI/CD governance frameworks, deployment approvals, rollback governance, release standards, and automation architecture.
- Drive platform engineering initiatives focused on self-healing infrastructure, operational automation, auto-remediation, and deployment standardization.
- Define enterprise automation frameworks across infrastructure operations, observability tooling, networking, and cloud operations.
- Define SLA governance models, severity matrices, escalation frameworks, operational response standards, and incident governance processes.
- Define production support governance, on-call operational models, after-hours support frameworks, and critical incident management standards.
- Lead operational governance reviews, problem management governance, and executive operational reporting.
- Present optimization dashboards, FinOps reports, infrastructure governance updates, security reviews, operational metrics, and modernization initiatives to leadership teams.
- Lead governance discussions with business stakeholders, vendors, security teams, infrastructure teams, and executive leadership groups.
- Define strategic cloud roadmaps, modernization programs, transformation initiatives, and operational maturity frameworks.
- Drive enterprise cloud modernization, infrastructure transformation, automation initiatives, observability maturity improvements, and platform optimization programs.
- Lead strategic initiatives focused on improving scalability, governance, operational efficiency, deployment maturity, reliability, and cloud financial optimization.
- Define enterprise operational excellence frameworks and long-term cloud transformation strategies aligned with organizational growth and scalability objectives.
Priority Matrix
| Priority | Scope Item |
|---|---|
| P0 | Enterprise Azure Architecture & Governance |
| P0 | Strategic Cloud Cost Optimization Leadership |
| P0 | FinOps Governance & Savings Strategy |
| P0 | Enterprise Security Governance & DevSecOps Strategy |
| P0 | AKS & Cloud-Native Platform Architecture |
| P0 | Enterprise Networking & Security Architecture |
| P0 | Multi-Cloud Governance & Optimization Strategy |
| P1 | Enterprise Observability, APM & Reliability Engineering |
| P1 | SLA, Severity Matrix & Escalation Governance |
| P1 | On-Call & Operational Governance Framework |
| P1 | Cloud Transformation & Modernization Programs |
| P1 | Executive Reporting & Stakeholder Governance |
| P1 | SRE Governance & Reliability Engineering |
| P1 | FinOps KPI Governance & Optimization Dashboards |
| P1 | Database, CDN & Platform Optimization Strategy |
| P1 | DevSecOps, Automation & IaC Governance |
| P1 | Security Compliance, VA/PT Governance & Audit Readiness |
| P2 | Capacity Planning & Scalability Governance |
| P2 | Operational Excellence & Platform Modernization |
| P2 | Enterprise Automation & Self-Healing Strategy |
| P2 | Infrastructure Standardization & Governance Improvements |
Azure DevOps Engineer
03 - 06 Years
Noida, Hyderabad, Mumbai
Job Description
Role Overview
We are seeking a highly skilled Azure DevOps Engineer with 3–6 years of experience in cloud infrastructure, automation, and DevOps practices. The ideal candidate should possess strong expertise in Microsoft Azure and Azure DevOps, with a proven track record of managing production-grade environments within a product-based organization. This role requires hands-on experience in building scalable cloud solutions, implementing CI/CD pipelines, infrastructure automation, container orchestration, and ensuring the reliability, security, and performance of cloud-native applications.
Key Responsibilities
- Design, implement, and maintain robust CI/CD pipelines using Azure DevOps.
- Provision and manage Azure infrastructure using Infrastructure as Code (IaC) tools such as Terraform, ARM Templates, or Bicep.
- Manage and optimize Azure cloud resources, ensuring high availability, scalability, and security.
- Deploy and support containerized applications using Docker and Azure Kubernetes Service (AKS).
- Collaborate closely with Engineering, Product, QA, and Security teams to streamline development and release processes.
- Implement monitoring, logging, and alerting solutions using Azure Monitor, Log Analytics, and Application Insights.
- Automate operational tasks and deployment processes through scripting and configuration management.
- Ensure adherence to security, compliance, and governance standards across cloud environments.
- Troubleshoot and resolve infrastructure, deployment, and application performance issues.
- Drive continuous improvement initiatives focused on automation, reliability, and operational excellence.
Required Technical Skills
Cloud & Infrastructure
- Strong hands-on experience with Microsoft Azure services.
- Azure VMs, Networking, Storage, & Key Vault.
- Azure App Services, Load Balancer, & Application Gateway.
- Azure Kubernetes Service (AKS).
DevOps & Automation
- Expertise in Azure DevOps and CI/CD pipeline implementation.
- Strong understanding of Infrastructure as Code (Terraform preferred).
- Experience with Git-based version control systems.
- Proficiency in scripting using PowerShell, Bash, or Python.
Containers & Orchestration
- Hands-on experience with Docker and Kubernetes.
- Experience managing and deploying workloads on AKS.
- Knowledge of Helm Charts and Kubernetes best practices.
Monitoring & Security
- Experience with Azure Monitor, Log Analytics, and Application Insights.
- Understanding of cloud security principles and IAM frameworks.
- Secrets management and compliance frameworks.
Candidate Profile & Qualifications
| Criteria | Requirements |
|---|---|
| Desired Profile |
|
| Preferred Qualifications |
|
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