939 DevOps Jobs in India

Educational Qualification:• B.Tech / M. Tech / M.S. in Computer Science, Data Engineering, AI or related discipline.• Certification in cloud DevOps or MLOps platforms (AWS DevOps Engineer, AzureDevOps Expert, GCP Professional ML Engineer) is highly desirable.• Contributions to MI-Ops or DevOps open source projects is preferred

Experience:• 7—10 years in machine learning operations or DevOps engineering.• Minimum 4 years building CVCD pipelines for AI/ML model deployment in enterprise orgovernment ecosystems.• Proven experience with containerized and microservice architectures.

Key Responsibilities:1.Design and manage continuous integration and delivery (CVCD) pipelines for AIIMLmodels across multiple environments.2. Establish model versioning, deployment, monitoring, and rollback mechanisms to ensurestability and traceability.3.Automate training, testing, and serving workflows using containerized solutions.4.Define infrastructure-as-code templates for scalable AI deployment on on-prem or cloud environments.5. Collaborate with Data Science and Engineering teams to standardize model input/outputformats and performance metrics.6.Implement logging, monitoring, and alerting for deployed models to ensure highavailability and accuracy over time.7.Ensure compliance with Responsible Al guidelines for deployment, including bias auditingand explainability tracking.

• Technical Competencies:• MLOps Platforms: MLflow, Kubeflow, Azure ML, AWS SageMaker Pipelines, GCP VertexAl Pipelines for end-to—end ML workflow orchestration• Containerization: Docker, Kubernetes, Helm charts, container registries, and microservicesarchitecture for ML workloads• CI/CD: Jenkins, GitLab CI, GitHub Actions, Azure DevOps with specialized ML pipelineintegration and automated testing• Infrastructure-as-Code: Terraform, CloudFormation, Ansible for reproducible MLinfrastructure provisioning and management• Cloud Platforms: AWS (EKS, Lambda, ECR, S3), Azure (AKS, Container Registry, BlobStorage), GCP (GKE, Cloud Build, Cloud Storage)• Model Serving: TorchServe, TensorFlow Serving, Seldon, KServe, REST APIs, and real-time inference infrastructure.• Programming Languages: Python for automation, Bash scripting, YAML for configurationmanagement, basic understanding Of Go/Java• Database & Storage: Feature stores (Feast, Tecton), model registries, data versioning(DVC), and distributed storage systems• Workflow Orchestration: Apache Airflow, Prefect, Argo Workflows for complex MLpipeline scheduling and dependency management.

Job Description: Senior / Lead .NET Engineer

Company: CargoSprint

Location: Hyderabad, India

Experience: 8+ Years

Role Type: Full-Time

Technology Stack: .NET 8+, C#, Microsoft Azure, SQL Server, Cosmos DB, Azure DevOps, AI-Assisted Engineering

About CargoSprint

CargoSprint powers cargo movement across air, ocean, road, and rail through technology-driven payment, appointment, and visibility solutions. Our products, including SprintPay, SprintPass, SprintPort, and eModal, play a critical role in the movement of freight, management of containers, and processing of payments.

At CargoSprint, we build secure, scalable, and reliable software that supports real-world logistics operations. Our engineering teams focus on delivering high-quality solutions that improve operational efficiency, enhance visibility, and simplify complex freight workflows.

Role Overview

CargoSprint is seeking a Senior / Lead .NET Engineer to drive backend architecture, engineering excellence, and technical delivery for our Hyderabad engineering team.

This is a hands-on technical leadership role requiring strong expertise in modern .NET technologies, Microsoft Azure, distributed systems, and cloud-native application development. The successful candidate will take ownership of designing and delivering high-performance backend services, influencing architectural decisions, and ensuring security, scalability, and reliability across our technology platforms.

The role also emphasizes AI-driven software engineering, including the practical adoption of AI coding assistants, agentic development tools, automated testing, and AI-powered product capabilities.

You will collaborate closely with Product, Design, QA, and other engineering stakeholders to translate business requirements into robust technical solutions while mentoring engineers and establishing engineering best practices.

Key Responsibilities

1. Backend Architecture and Development

• Design, develop, and maintain scalable backend services using C#, .NET 8 and above, and modern Microsoft development technologies.
• Own the complete software development lifecycle, from technical design and implementation to deployment, monitoring, and production support.
• Design and implement microservices, RESTful APIs, and event-driven architectures to support business-critical applications.
• Establish architectural standards, design patterns, coding conventions, and reusable engineering practices.
• Evaluate emerging technologies and continuously modernize the backend technology stack.

2. Cloud Engineering and Performance Optimization

• Build, deploy, and manage cloud-native applications and services on Microsoft Azure.
• Optimize application performance, scalability, availability, and resource utilization.
• Work with Azure App Service, Azure Kubernetes Service (AKS), Azure Service Bus, Azure Key Vault, and related Azure services.
• Design efficient data access patterns and optimize database performance across Microsoft SQL Server and Azure Cosmos DB.
• Implement effective monitoring, logging, tracing, alerting, and production diagnostics.

3. AI-Driven Engineering and Innovation

• Integrate AI-assisted development tools such as GitHub Copilot, Claude, and Cursor into daily engineering workflows.
• Use AI tools and agentic coding workflows for software design, code generation, code reviews, test creation, debugging, and incident analysis.
• Establish guidelines for responsible AI adoption, including code quality, security validation, testing, and human oversight.
• Explore and implement AI-powered product features and LLM-based integrations where they deliver measurable business value.
• Continuously evaluate AI engineering tools and practices to improve developer productivity without compromising reliability or maintainability.

4. Engineering Quality, Security, and Reliability

• Champion secure coding practices, performance engineering, automated testing, and production readiness.
• Implement API security standards, including OAuth 2.0, OpenID Connect (OIDC), secure secrets management, and least-privilege access.
• Design resilient systems with appropriate fault tolerance, error handling, retries, and recovery mechanisms.
• Establish observability and incident management practices to improve service reliability.
• Lead blameless post-incident reviews and drive corrective and preventive actions.
• Ensure engineering practices align with applicable SOC 2 and PCI DSS security and compliance requirements.

5. DevOps and Continuous Delivery

• Design and maintain CI/CD pipelines using Azure DevOps.
• Integrate automated builds, testing, code quality checks, dependency scanning, and security controls into delivery pipelines.
• Promote infrastructure automation and consistent deployment practices across development, testing, and production environments.
• Improve release processes, deployment reliability, and operational efficiency.
• Collaborate with security and infrastructure teams to maintain compliance and production stability.

6. Technical Leadership and Collaboration

• Provide hands-on technical leadership and guide architectural and implementation decisions.
• Conduct design reviews, code reviews, and technical discussions to maintain high engineering standards.
• Mentor engineers through pairing, knowledge sharing, constructive feedback, and technical guidance.
• Partner with Product, Design, and QA teams to define technical approaches, assess trade-offs, and deliver business outcomes.
• Lead technical initiatives, resolve complex engineering challenges, and promote a culture of ownership, collaboration, and continuous improvement.

Required Skills and Qualifications

• 8+ years of professional experience developing and delivering production-grade backend applications using .NET and C#.
• Recent, hands-on experience with .NET 8 or higher and modern .NET application development.
• Strong expertise in Microsoft Azure services, including Azure App Service, Azure Kubernetes Service (AKS), Azure Service Bus, Azure Key Vault, and Azure DevOps.
• Experience with Microsoft SQL Server and Azure Cosmos DB, including data modeling, query optimization, and performance tuning.
• Proven experience designing and implementing microservices, RESTful APIs, and event-driven distributed systems.
• Strong understanding of API design, application security, authentication, authorization, OAuth 2.0, and OpenID Connect.
• Experience building secure, scalable, highly available, and maintainable backend systems.
• Hands-on experience with CI/CD pipelines, automated testing, deployment automation, and production monitoring.
• Working knowledge of SOC 2 and PCI DSS controls in regulated, financial, payment, or security-sensitive environments.
• Practical experience using AI-assisted coding tools such as GitHub Copilot, Claude, or Cursor in software development workflows.
• Strong problem-solving, analytical, communication, and technical decision-making skills.
• Demonstrated ability to lead technical projects, influence engineering practices, and mentor team members.

Preferred Qualifications

• Experience with Docker, Kubernetes, and containerized application deployments.
• Experience integrating large language models (LLMs), AI agents, or AI-powered services into enterprise applications.
• Familiarity with modern frontend frameworks such as Angular.
• Experience in logistics, transportation, supply chain, payments, or fintech domains.
• Knowledge of infrastructure as code, distributed tracing, application performance monitoring, and cloud cost optimization.
• Experience working with compliance-driven engineering processes and production-critical systems.

What Success Looks Like

• Delivery of secure, scalable, and high-performance backend services.
• Improved application reliability, observability, and production support outcomes.
• Continuous modernization of the .NET and Azure technology stack.
• Effective adoption of AI-assisted engineering practices with measurable improvements in productivity and quality.
• Strong engineering standards across architecture, testing, security, and deployment.
• Improved team capability through mentoring, technical collaboration, and knowledge sharing.
• Reliable delivery of business-critical features in partnership with Product, Design, and QA.

Why Join CargoSprint?

• Technical Ownership: Influence architecture and make meaningful engineering decisions.
• Modern Technology: Work with the latest .NET, Microsoft Azure, distributed systems, and AI engineering tools.
• Real-World Impact: Build products that support critical logistics, cargo movement, and payment workflows.
• Engineering Excellence: Help shape engineering standards, development practices, and technical direction.
• Collaborative Culture: Partner with cross-functional teams and contribute to a culture of continuous improvement.

Join CargoSprint and help build the next generation of secure, scalable, AI-enabled logistics technology.

Senior Technical Manager

Primary objective: Own engineering teams, architecture, delivery governance and successful execution of product and AI initiatives across DocTutorials.

Location

Hyderabad / Chennai

Employment

Full-time

Experience

10+ years

Role Summary

The Senior Technical Manager combines technical leadership, people management, product delivery and project execution. The role is accountable for team outcomes, engineering quality, timelines, production stability and the disciplined delivery of AI projects.

Key Responsibilities

1. Technology and Architecture Leadership

·       Provide direction for Python FastAPI, React/Next.js, data, cloud and AI architectures.

·       Review solution designs for security, scalability, maintainability, performance and cost.

·       Define engineering standards and resolve complex cross-team technical risks.

·       Remain technically hands-on through architecture reviews, critical code reviews and incident debugging.

2. People and Delivery Management

·       Lead, mentor and develop engineering teams with clear goals and accountability.

·       Own estimation, capacity, execution, dependencies, risks, releases and delivery recovery plans.

·       Conduct regular one-to-ones, performance reviews, coaching and skill-development planning.

·       Work with Product, QA, DevOps and stakeholders to deliver measurable product outcomes.

3. AI Project Execution

·       Assess AI use cases for feasibility, data readiness, risk, cost and measurable value.

·       Lead delivery of LLM, RAG, agentic and AI-assisted product initiatives from PoC to production.

·       Ensure evaluation, human validation, security, privacy, observability and rollback controls.

·       Prevent isolated demos, uncontrolled AI usage and dependency on individual engineers or vendors.

Required Skills and Experience

·       10+ years in software engineering with significant technical and people leadership experience.

·       Strong understanding of Python/FastAPI, React/Next.js, APIs, databases, cloud and distributed systems.

·       Proven ownership of product delivery, project planning, risk management and production operations.

·       Experience hiring, mentoring, evaluating and developing engineering teams.

·       Strong knowledge and execution experience across AI/ML, LLM, RAG or agentic-AI projects.

·       Practical understanding of Generative AI, LLMs, RAG, Agentic AI and responsible AI use relevant to the role.

·       Ability to use approved AI tools productively while protecting source code, credentials, learner data and organisational information.

·       Commitment to human review, testing, security validation and traceability for AI-assisted outputs.

Good-to-Have Experience

·       EdTech or medical-learning product experience.

·       AWS, Kubernetes, DevSecOps, MLOps or LLMOps.

·       Experience scaling teams and platforms through major transformation.

How Success Will Be Measured

·       Delivery becomes predictable with risks identified early.

·       Engineering quality, security and production stability improve.

·       AI projects progress from validated use cases to reliable production outcomes.

·       Team capability, ownership, engagement and succession strength increase.

·       Work consistently delivers measurable outcomes and business value—not merely completion of assigned tasks or activities.

Expected mindset: Own the outcome, use AI responsibly, communicate risks early and deliver secure, measurable value for DocTutorials and its learners.

Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.

Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.

Key Responsibilities:

Architecture & Platform

• Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
• Lead IaC standards and reusable modules org-wide; own GitOps practices
• Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

• Define and drive reliability targets (SLOs/SLIs); establish SRE practice
• Lead incident management, RCA, and blameless post-mortems for critical systems
• Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

• Lead AI/ML inference and GPU infrastructure scaling in production
• Evaluate and introduce AI tooling, platforms, and automation best practices
• Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

• Mentor L1/L2 engineers; influence cross-team infrastructure decisions
• Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
• Evaluate and introduce new tooling and platforms

Key Requirements:

• 4–8 years infrastructure/platform/DevOps/SRE
• Deep expertise in AWS & GCP large-scale production systems
• Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
• AI/ML inference or GPU infrastructure scaling (production track record)
• Strong Terraform / equiv. and GitOps practices
• Python, Go, or Bash scripting and automation
• Track record in scale, reliability, and cost efficiency
• Lead incident response and on-call practices

Nice-to-Have

• LLM Gateway architecture and optimization
• Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
• DevSecOps maturity: SBOM, supply-chain security, policy-as-code
• Open-source contributions or platform-team leadership

Why This Role?

• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
• Mission-driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed-stage growth — scale from Seed to Series A alongside the team
• Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering

Job Summary

We are looking for a skilled DevOps Engineer with hands-on experience in Terraform, Google Cloud Platform (GCP), infrastructure setup, and product installation. The candidate will be responsible for provisioning cloud infrastructure, configuring environments, installing software products, and ensuring smooth deployment and operation of applications.

Key Responsibilities

• Set up, configure, and manage cloud infrastructure on GCP.
• Use Terraform for Infrastructure as Code (IaC) and automated infrastructure provisioning.
• Perform software product installation, configuration, and upgrades.
• Manage infrastructure environments and resolve installation and configuration issues.
• Monitor infrastructure performance, availability, and reliability.
• Collaborate with development and operations teams to support deployments.
• Follow security, backup, and infrastructure management best practices.
• Troubleshoot technical issues related to infrastructure and product installations.

Required Skills

• Hands-on experience with Terraform.
• Working knowledge of Google Cloud Platform (GCP).
• Experience in infrastructure setup and provisioning.
• Experience in software product/application installation and configuration.
• Knowledge of Linux/Unix operating systems.
• Understanding of networking, cloud security, and troubleshooting.
• Good problem-solving and communication skills.

SIX-MONTH CONTRACT ONLY JOB: An engineer who prioritises infrastructure-as-code, with Terraform as the core skill, and delivers change through GitHub pipelines rather than manual intervention. Has a DevOps and automation mindset and applies zero-trust and least-privilege principles, designing access, secrets, and identity from the outset. Treats documentation as a key part of the build process and part of the definition of done, not an afterthought. Open and collaborative, building capability within the team so others can run and own what is delivered.

• Azure variant: strong Azure and Kubernetes experience.

• Snowflake variant: strong Snowflake operations experience, working alongside the DataOps team and applying the same infrastructure-as-code-first approach to the Snowflake environment.

Expected Skills:

• Infrastructure as Code: Strong hands-on Terraform experience, infrastructure provisioning and automated infrastructure management.

• CI/CD & Automation: GitHub Actions, secure pipeline implementation, multi-environment promotion and deployment automation.

• Security & Identity: Zero-trust principles, least-privilege access, secrets management, OIDC and Workload Identity Federation.

• Enterprise Networking: AKS-to-Snowflake and on-premises connectivity, private endpoints, Kubernetes network access controls and cross-boundary DNS resolution.

• Kubernetes Deployment & Administration: AKS/Kubernetes, Airflow or Dagster deployments, stateful workloads, resource isolation and dynamic worker autoscaling.

• Kubernetes Monitoring & Troubleshooting: Grafana, production issue diagnosis, pod memory leak detection, CPU/memory metrics and cluster bottleneck analysis.

• Snowflake IaC & Access Management: Terraform-based Snowflake provisioning, RBAC, role hierarchy and development, staging and production database permissions.

• Documentation & Ownership: Technical documentation, operational handover, collaborative working and team enablement.

We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.

Responsibilities:

• Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
• Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
• Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
• Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
• Automate infrastructure provisioning and configuration using Terraform.
• Develop automation scripts using Python and Shell scripting.
• Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
• Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
• Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
• Manage cloud networking, connectivity, and infrastructure-related configurations.
• Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
• Manage SSL/TLS certificates, secrets, and secure credential rotation.

Required Skills:

• Strong hands-on experience with Linux.
• Good knowledge of Git and CI/CD pipelines.
• Experience with Docker, Kubernetes (K8s), and/or OpenShift.
• Working experience with AWS and/or Microsoft Azure.
• Hands-on experience with Terraform and Infrastructure as Code (IaC).
• Scripting knowledge in Python and/or Shell.
• Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
• Knowledge of DevSecOps, networking, and cloud security fundamentals.
• Understanding of AIOps concepts and automated operations.
• Experience with certificate lifecycle management and secrets management.

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

Job Title : Senior AWS DevSecOps & AI Platform Engineer

Experience Required : 5+ Years in AWS / Cloud Engineering

Terraform Experience : 4+ Years

Location : Gurugram

Work Mode : Onsite

Employment Type : Full-time

About the Role :

We are looking for an experienced Senior AWS DevSecOps & AI Platform Engineer with strong expertise in AWS cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), CI/CD automation, cloud security, and database administration.

The ideal candidate will be responsible for designing and maintaining secure, scalable, reliable, and cost-efficient cloud environments while supporting microservices-based applications and implementing DevSecOps best practices. The role also involves building and deploying AI agents using Amazon Bedrock and Bedrock AgentCore, along with managing enterprise development and collaboration tools.

Mandatory Skills :

AWS (EC2, EKS, ECS, Lambda, S3, CloudWatch), Kubernetes, Terraform, Jenkins, Bitbucket Pipelines, CI/CD, DevSecOps, AWS Security Services (IAM, WAF, GuardDuty, Security Hub, KMS, Secrets Manager), Microservices, Helm, PostgreSQL, Oracle SQL, RDS, Jira, Confluence, Amazon Bedrock, Bedrock AgentCore, AWS Networking, and Cloud Cost Optimization.

Key Responsibilities :

• AWS Cloud Infrastructure : Design, implement, and maintain AWS infrastructure with a focus on scalability, availability, security, reliability, and cost optimization.
• Microservices & Containerization : Manage and support distributed microservices architectures, including deployment, monitoring, troubleshooting, performance optimization, service meshes, and API gateways.
• Kubernetes Administration : Administer and optimize Kubernetes clusters, including Amazon EKS and self-managed environments, covering upgrades, networking, workload management, scaling, and resource optimization.
• Cloud Security & Compliance : Implement and manage AWS security services, including IAM, GuardDuty, Security Hub, WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
• DevSecOps Implementation : Integrate security testing, vulnerability scanning, container security, and compliance-as-code tools into CI/CD pipelines.
• CI/CD & Source Control : Manage Bitbucket repositories, branching strategies, permissions, and Bitbucket Pipelines. Build and optimize Jenkins pipelines using declarative and scripted approaches.
• Infrastructure as Code : Develop and maintain Terraform modules, manage remote state and workspaces, detect infrastructure drift, and implement reusable infrastructure provisioning practices.
• Database Administration : Provision, manage, secure, and optimize AWS RDS databases, particularly PostgreSQL and Oracle, including backups, replication, patching, performance tuning, and migrations.
• Jira & Confluence Administration : Manage projects, workflows, automation rules, permissions, user access, spaces, schemes, and plugins.
• Monitoring & Reliability : Define and monitor SLIs, SLOs, and SLAs; implement observability best practices; and participate in incident management, root cause analysis, and post-incident reviews.
• AI Agent Development : Design, build, and deploy AI agents using Amazon Bedrock and Bedrock AgentCore, including agent runtime, memory, tools, gateway integration, identity and access management, guardrails, and lifecycle management across environments.
• Cloud Connectivity : Support hybrid cloud connectivity using AWS Direct Connect, VPN, and Transit Gateway.
• Cost Optimization : Apply FinOps practices to monitor cloud expenditure, optimize resource utilization, and improve infrastructure efficiency.
• API Integrations : Integrate third-party APIs while implementing authentication, rate limiting, error handling, and webhook management.

Required Skills & Qualifications :

• 5+ years of hands-on experience with AWS cloud services, including EC2, ECS, EKS, Lambda, ALB, CDN, S3, CloudWatch, Amazon Bedrock, and Bedrock AgentCore.
• Strong understanding of AWS networking, multi-account strategies, landing zone architecture, and hybrid connectivity.
• 4+ years of practical experience with Terraform, including module development, remote state management, workspaces, drift detection, and state operations.
• Extensive experience administering Kubernetes, preferably Amazon EKS, including Helm, Kustomize, operators, RBAC, network policies, autoscaling, and multi-tenancy.
• Proven experience managing distributed microservices, service meshes, API gateways, and inter-service communication.
• Strong knowledge of AWS security services, including IAM, Service Control Policies (SCPs), WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
• Experience implementing least-privilege access, zero-trust principles, and cloud security compliance controls.
• Hands-on experience integrating DevSecOps tools such as Snyk, Trivy, Checkov, and SonarQube into CI/CD pipelines.
• Understanding of OWASP security principles, CIS benchmarks, vulnerability management, and container security.
• Proficiency in Bitbucket repository administration, branch permissions, and YAML-based Bitbucket Pipelines.
• Strong experience developing and maintaining Jenkins CI/CD pipelines, shared libraries, plugins, and build agents.
• Experience administering AWS RDS databases, particularly PostgreSQL and Oracle SQL, including backup, replication, performance tuning, and migration activities.
• Experience administering Jira and Confluence, including workflows, permissions, automation, and plugin management.
• Working knowledge of Azure services, particularly Web Apps and Logic Apps/Workflows.
• Practical experience with Amazon Bedrock, including model invocation, guardrails, and AI agent development and deployment using Bedrock AgentCore.
• Understanding of third-party API integration, authentication mechanisms, rate limiting, error handling, and webhook management.
• Familiarity with FinOps practices and cloud cost optimization.

Good-to-Have Skills :

• Additional Azure experience, including networking, Azure SQL Managed Instance, and Azure Kubernetes Service (AKS).
• Hands-on experience with AI-driven Development Lifecycle (AI-DLC) methodologies and tools such as Kiro.

Relevant certifications, such as :

• AWS Certified Solutions Architect
• AWS Certified DevOps Engineer – Professional
• AWS Machine Learning or Generative AI certifications
• Certified Kubernetes Administrator (CKA)
• HashiCorp Terraform certifications

Ideal Candidate Profile :

The ideal candidate is a hands-on cloud and DevSecOps professional who can manage enterprise-scale AWS infrastructure, automate deployments, strengthen security controls, troubleshoot complex distributed systems, and support AI agent development. Strong problem-solving skills, an automation-first mindset, and the ability to collaborate across development, security, and infrastructure teams are essential.

Position Details

| **Experience** | 5–8 Years |

| **Work Location** | Mumbai Suburbs-Andheri |

| **Start Date** | Immediate |

| **CTC** | Open to Discussion |

## Job Description

The selected candidate will be responsible for leading backend development, managing cloud infrastructure and deployments, designing scalable system architectures, and mentoring the engineering team. The role requires strong technical expertise, leadership capabilities, and the ability to translate business requirements into effective technical solutions.

### 1. DevOps and Cloud Infrastructure

- Create and configure cloud instances on Azure, AWS, or GCP.

- Deploy applications and programs to cloud servers and DevOps environments.

- Ensure deployment stability, system uptime, and performance monitoring.

- Automate deployment pipelines and continuously improve CI/CD practices.

- Implement and maintain reliable, scalable, and secure deployment processes.

### 2. Architecture and Backend Development

- Design system architectures with a focus on performance, security, scalability, and reliability.

- Design, develop, and maintain clean, scalable, and optimized backend applications, preferably using Node.js.

- Troubleshoot and resolve complex technical issues across development, testing, and production environments.

- Translate business requirements into effective technical solutions and ensure timely delivery.

- Develop and maintain APIs, microservices, databases, and system integrations.

### 3. Team Leadership and Management

- Lead, mentor, and guide a team of backend developers and engineers.

- Drive Agile development processes, including sprint planning, daily stand-ups, and retrospectives.

- Conduct code reviews and ensure adherence to coding standards and engineering best practices.

- Promote collaboration, accountability, and a high-performance engineering culture.

- Support team members in resolving technical challenges and improving their skills.

## 4.Skills and Qualifications Required

- B.Tech / B.E. in Computer Science, Information Technology, or a related field.

- Strong proficiency in backend development using Node.js, JavaScript, Python, or Java.

- Hands-on experience with DevOps practices and cloud deployment environments.

- Solid understanding of APIs, microservices, databases, and system integration.

- Experience in leading development teams within an Agile/Scrum environment.

- Working knowledge of Linux, Kafka, and Docker.

- Good understanding of CI/CD pipelines, cloud technologies, and deployment automation.

- Strong problem-solving, analytical, communication, and leadership skills.

##5. Behavioural Competencies

- **Team Leadership:** Ability to manage, train, mentor, and guide team members.

- **Relationship Management:** Strong interpersonal skills and the ability to build effective working relationships.

- **Analytical Thinking and Innovation:** Strong analytical capabilities, with a focus on innovative problem-solving.

- **Business Acumen:** Ability to understand business use cases and translate them into practical technical solutions.

- **Customer Empathy:** Ability to understand customer needs and deliver solutions that enhance customer experience.

- **Communication:** Excellent verbal and written communication skills.

Salary will be decided based on your skills and experience.

{ contact No: 8 9 2 5 8 0 2 4 5 7 } , pavithra.e @vysystems. com

Job Description – Java Full Stack + DevOps Developer

Job Title: Java Full Stack + DevOps Developer

Experience: 8+ Years

Location: Bangalore / Hyderabad

CTC: Up to 30 LPA

Notice Period: Immediate to 20 Days

Mandatory Skills

• Java
• Java Full Stack Development
• Angular or React
• Python
• DevOps
• CI/CD

Roles & Responsibilities

• Design, develop, and maintain scalable Java Full Stack applications.
• Develop robust backend services using Java and related frameworks.
• Build responsive and reusable frontend applications using Angular or React.
• Develop and integrate REST APIs between frontend and backend systems.
• Use Python for automation, scripting, and application support as required.
• Implement and maintain DevOps practices across the application lifecycle.
• Design, configure, and maintain CI/CD pipelines for automated build, deployment, and release processes.
• Collaborate with development, QA, DevOps, and other cross-functional teams.
• Troubleshoot application and deployment issues and optimize system performance.
• Follow coding standards, security practices, and software development best practices.
• Participate in code reviews and provide technical guidance to team members.

Candidate Profile

• 8+ years of strong experience in Java Full Stack Development.
• Strong hands-on experience with Java and Angular or React.
• Good working knowledge of Python.
• Strong understanding of DevOps and CI/CD practices.
• Experience working across development, deployment, and automation activities.
• Strong problem-solving and communication skills.
• Candidates available to join immediately to 20 days are preferred.

Job Summary

We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.

Mandatory Skills

• Strong experience in Linux administration and troubleshooting.
• Hands-on experience with Git and version control systems.
• Strong knowledge of CI/CD pipelines and automation.
• Experience with Docker and containerization.
• Hands-on experience with Kubernetes and/or OpenShift.
• Cloud experience with AWS and/or Microsoft Azure.
• Infrastructure as Code (IaC) using Terraform.
• Scripting experience using Python and Shell scripting.
• Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.

Additional Skills

• Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
• Understanding of networking concepts and troubleshooting.
• Exposure to AIOps and intelligent monitoring solutions.
• Experience with certificate management and secrets management.
• Knowledge of infrastructure automation, deployment, and performance monitoring.
• Strong troubleshooting, problem-solving, and collaboration skills.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
• Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
• Automate infrastructure provisioning and configuration using Terraform.
• Manage cloud infrastructure across AWS and/or Azure.
• Develop automation scripts using Python and Shell.
• Implement monitoring, logging, and observability solutions.
• Integrate security practices into DevOps workflows and CI/CD pipelines.
• Manage certificates, secrets, and secure access to infrastructure and applications.
• Troubleshoot infrastructure, application, networking, and deployment issues.
• Improve system reliability, scalability, security, and operational efficiency.

Job Specification:

Work Experience: 7 to 10 Years

Work Location:  Bangalore

Mode of Employment: Permanent

Education Qualification required: Any Degree

Job Description:

We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.

Responsibilities:

• Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
• Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
• Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
• Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
• Automate infrastructure provisioning and configuration using Terraform.
• Develop automation scripts using Python and Shell scripting.
• Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
• Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
• Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
• Manage cloud networking, connectivity, and infrastructure-related configurations.
• Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
• Manage SSL/TLS certificates, secrets, and secure credential rotation.

Required Skills:

• Strong hands-on experience with Linux.
• Good knowledge of Git and CI/CD pipelines.
• Experience with Docker, Kubernetes (K8s), and/or OpenShift.
• Working experience with AWS and/or Microsoft Azure.
• Hands-on experience with Terraform and Infrastructure as Code (IaC).
• Scripting knowledge in Python and/or Shell.
• Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
• Knowledge of DevSecOps, networking, and cloud security fundamentals.
• Understanding of AIOps concepts and automated operations.
• Experience with certificate lifecycle management and secrets management.

Senior Quality Engineer

Notice Period: Immediate

Purpose of the Job:

We are seeking a highly skilled and experienced Senior Quality Engineer to join our Enterprise Technology and Data team. This role is crucial in ensuring the delivery of high-quality data-driven solutions and applications across our enterprise systems. The ideal candidate will have deep expertise in quality engineering, automated testing, and extensive experience in testing large-scale data systems, particularly in ETL processes and working with Azure Fabric and Google Cloud data platforms such as BigQuery and Google Cloud Data Pipelines.

As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring the overall quality of our technology and data platforms across multi-cloud environments (Azure and Google Cloud Platform). You will work closely with cross-functional teams including developers, data engineers, and product managers to ensure that the highest standards of quality are maintained throughout the software development lifecycle.

Main Activities:

1. · Test Planning & Execution: Design detailed test strategies/plans, test cases, and test scripts to validate data accuracy, integrity, and system functionality in ETL pipelines across Azure and GCP (e.g., Dataflow, Data Fusion, BigQuery pipelines), including both functional and non-functional testing.
2. · Data Quality: Collaborate with data engineers to monitor and ensure the accuracy, completeness, and consistency of data across various data platforms including Azure Synapse/Fabric and Google BigQuery, validating transformations and data integrity in ETL pipelines.
3. · Data Pipeline Testing: Collaborate with data engineering teams to design and execute tests for Data pipelines running on Azure Fabric as well as Google Cloud services such as Dataflow, Dataproc, and Pub/Sub-based pipelines, ensuring transformation, integration, and storage processes function as expected.
4. · SQL Database Testing: SQL Database Testing: Development and execution of SQL-based automated tests for database validation, ensuring data integrity, performance, and security across multiple databases including BigQuery datasets and Azure SQL/Synapse environments.
5. · Performance Testing: Conduct performance testing to evaluate the scalability, stability, and performance of large-scale data systems across distributed cloud platforms including Azure and GCP.
6. · Automated Testing: Develop and maintain automated test frameworks for data applications, including ETL processes, APIs, and data integration systems using industry-standard tools, and extend automation to support BigQuery validation, GCP pipeline testing, and AI/ML data validation scenarios.
7. · Defect Tracking & Resolution: Work with development and operations teams to identify, report, and track defects across multi-cloud data ecosystems, ensuring timely resolution.
8. · Continuous Improvement: Propose and implement improvements to testing processes and frameworks to increase efficiency and effectiveness of quality assurance efforts across Azure and Google Cloud-based data platforms and AI-enabled data solutions.
9. · Collaboration: Partner with business stakeholders, project managers, and technical teams to ensure alignment with quality goals and deliverables across enterprise data platforms spanning multiple cloud providers.
10. · Mentorship: Provide guidance and mentorship to junior quality engineers, helping them improve their technical skills in modern data testing practices including cloud-native and AI-driven validation techniques.
11. · Compliance & Best Practices: Ensure adherence to industry standards and best practices related to software quality, particularly in relation to data systems, ETL processes, and cloud technologies including Azure and Google Cloud Platform environments.

Knowledge/Skill Requirements:

· Education:

1. o Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
2. · Experience:
3. o 5+ years of experience in software quality engineering, with at least 3 years of experience in an enterprise data environment.
4. o Proven experience in automated testing tools (e.g., Selenium, JUnit, TestNG, or similar frameworks).
5. o Hands-on experience with data validation, transformation, and data pipeline testing in cloud environments, specifically Azure and/or Google Cloud Platform (GCP).
6. o Strong understanding of data management, data warehousing, ETL processes, and data integration.
7. o Experience with data warehousing, data lakes, and cloud-based ETL tools including Azure Data Factory, Azure Synapse, Google BigQuery, Dataflow, and Dataproc is a plus.

Technical Skills:

1. o Proficient in scripting languages (e.g., Python, Java, SQL) for test automation and ETL process validation.
2. o Experience working with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, as well as Google Cloud services such as BigQuery, Dataflow and Cloud Composer (Airflow) for data pipeline orchestration and validation.
3. o Strong knowledge of software development methodologies (Agile, Scrum, Waterfall) and experience in a continuous integration/continuous deployment (CI/CD) environment.
4. o Familiarity with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, Azure DevOps), and cloud infrastructure (e.g., Azure, GCP).
5. · Soft Skills:
6. o Strong analytical, problem-solving, and troubleshooting skills.
7. o Excellent communication skills, with the ability to collaborate effectively across departments.
8. o Detail-oriented with a passion for ensuring high-quality standards in data-driven solutions.
9. o Ability to work independently and as part of a team, managing multiple priorities in a fast-paced environment.
10. · Certifications/Additional Training – Nice-to-Have:
11. o Relevant certifications (e.g., Azure DevOps, Azure ML, ISTQB, Google Cloud Professional Data Engineer or Professional Cloud Developer) are a plus.
12. o Experience working with data governance tools such as Azure Purview and ensuring data compliance

Job Summary:

We are looking for an experienced SRE DevOps Engineer with strong hands-on experience in cloud infrastructure, container orchestration, infrastructure automation, and CI/CD pipelines. The candidate should have expertise in Terraform, Kubernetes, Docker, scripting, and cloud platforms to build, deploy, and maintain scalable and reliable infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for application deployment.
• Manage and automate infrastructure provisioning using Terraform.
• Deploy, configure, and manage containerized applications using Docker and Kubernetes.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Develop automation scripts using Python, Bash, or Shell scripting.
• Implement Infrastructure as Code (IaC) practices for consistent and repeatable deployments.
• Configure monitoring and observability tools to track system performance and availability.
• Optimize infrastructure performance, scalability, and resource utilization.
• Collaborate with development teams to improve deployment workflows and operational efficiency.

Mandatory Skills:

• SRE / DevOps Engineering
• Terraform and Infrastructure as Code (IaC)
• Kubernetes
• Docker and containerization
• CI/CD tools and pipeline automation
• Cloud platforms: AWS / Azure / GCP
• Python, Bash, or Shell scripting
• Linux/Unix administration

Good-to-Have Skills:

• Ansible or other configuration management tools
• Helm and Kubernetes administration
• Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps
• Prometheus and Grafana
• Git and version control
• AWS EKS, Azure AKS, or Google GKE

Job Summary

We are looking for an experienced DevOps Engineer with strong hands-on expertise in GitHub Actions, Harness CI/CD, Google Cloud Platform (GCP), and Microsoft Azure. The candidate will be responsible for designing, implementing, and maintaining CI/CD pipelines, automating cloud infrastructure deployments, and improving application delivery through DevOps best practices.

Key Responsibilities

• Design, develop, and maintain CI/CD pipelines using GitHub Actions and Harness.
• Implement automated build, test, deployment, and release workflows.
• Manage and support cloud infrastructure across GCP and Microsoft Azure.
• Configure GitHub Actions workflows, reusable workflows, secrets, runners, and deployment environments.
• Develop and manage Harness pipelines for continuous integration, continuous delivery, and automated deployments.
• Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC) practices.
• Work with containerization technologies such as Docker and Kubernetes.
• Deploy and manage applications on GCP services such as GKE, Compute Engine, Cloud Storage, and Cloud Run.
• Work with Azure services such as Azure Kubernetes Service (AKS), Azure Virtual Machines, Azure Storage, and Azure networking.
• Implement secure credential management, access controls, and cloud security best practices.
• Integrate automated testing, code quality checks, vulnerability scanning, and security gates into CI/CD pipelines.
• Monitor deployments, troubleshoot pipeline failures, and resolve build and release issues.
• Collaborate with development, QA, security, and infrastructure teams to improve deployment efficiency.
• Implement logging, monitoring, rollback strategies, and deployment governance.
• Support production releases, incident troubleshooting, and continuous improvement of DevOps processes.

Mandatory Skills

• Strong hands-on experience with GitHub Actions.
• Practical experience with Harness CI/CD.
• Good experience with GCP and Microsoft Azure cloud platforms.
• Strong understanding of CI/CD concepts, build automation, and release management.
• Experience with Git, branching strategies, pull requests, and version control.
• Scripting knowledge in Python, Bash, or PowerShell.
• Experience with Terraform or other Infrastructure as Code tools.
• Understanding of Docker and Kubernetes.
• Knowledge of cloud IAM, secrets management, networking, and security best practices.

Job Summary

We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.

Key Responsibilities

• Monitor application and infrastructure performance to ensure high availability and reliability.
• Manage production incidents, troubleshooting, root cause analysis, and resolution.
• Implement and maintain CI/CD pipelines for automated deployments.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Automate repetitive operational tasks using Python, Shell, or Bash scripting.
• Work with Docker, Kubernetes, and container orchestration technologies.
• Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
• Manage infrastructure as code using Terraform or Ansible.
• Define and monitor SLIs, SLOs, and SLAs.
• Collaborate with development, infrastructure, and support teams to improve system reliability.
• Participate in on-call support and disaster recovery activities.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps and Production Support
• Linux/Unix Administration
• Cloud Platforms: AWS, Azure, or GCP
• CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
• Scripting: Python, Shell, or Bash
• Docker and Kubernetes
• Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
• Incident Management and Root Cause Analysis

TEAM LEAD – BACKEND / FULL STACK ENGINEER (FINTECH)

Impacto Digifin Technologies Pvt. Ltd.

Bangalore (Brookefield) | Work from Office | Full-Time

Job Location

Bangalore (Brookefield) – Work from Office

Experience

3–5 Years

Employment Type

Full-Time

Department

Engineering / Product Development

Document Date

21 October 2026

Role Overview

We are hiring a hands-on Team Lead to design, build, and run the backend of our digital banking and payments products. You will lead a small team building Java and Spring Boot microservices, Apache Kafka event pipelines, and PostgreSQL data models that move real money for banks and their customers.

The role is backend-first, with full stack ownership: you will also guide ReactJS and Next.js frontends that sit on top of these services. You will own the full lifecycle, from requirement analysis and system design to production deployment, monitoring, and 24x7 support.

We want someone who treats correctness, auditability, and uptime as product features.

Key Responsibilities

A. Backend and Microservices Development

·   Design and build scalable, high-performance backend services using Java and Spring Boot.

·   Design and implement RESTful APIs, microservices, and third-party integrations with clear, versioned API contracts.

·   Implement authentication, authorization, input validation, and secure coding practices across all services.

·   Write clean, maintainable, and testable code, backed by unit, integration, and API tests.

B. Event-Driven Architecture with Apache Kafka

·   Build and maintain event-driven systems using Kafka producers, consumers, and Kafka Streams.

·   Design event schemas, topics, partitioning, and retention to match business flows.

·   Ensure exactly-once or idempotent processing so no event is lost or applied twice.

·   Handle retries, dead-letter topics, consumer lag, and replay for failed or delayed events.

·   Apply patterns such as Outbox, Saga, event sourcing, and CQRS where they fit.

C. PostgreSQL Data Design and Management

·   Design normalized, transactional data models in PostgreSQL for accounts, ledgers, payments, and customers.

·   Use ACID transactions, appropriate isolation levels, and row-level locking to keep balances correct under concurrent load.

·   Tune queries, indexes, partitioning, and connection pooling for high-volume tables.

·   Manage schema changes safely with versioned migrations (Flyway or Liquibase) and zero-downtime deployment.

·   Plan data archival, backup, point-in-time recovery, and read replicas for reporting.

D. Full Stack Ownership

·   Guide and contribute to responsive web applications built with ReactJS, Next.js, and TypeScript.

·   Integrate frontend applications with backend services and keep API contracts in sync.

·   Optimize end-to-end performance, responsiveness, and reliability.

E. Team Leadership

·   Lead, mentor, and support developers in daily technical work.

·   Break business requirements into technical specifications, tasks, and delivery plans.

·   Assign work, track progress, and deliver milestones on time.

·   Run code reviews, architecture discussions, and technical design reviews.

·   Participate in sprint planning, stand-ups, reviews, and retrospectives.

·   Coordinate with Product, QA, UI/UX, DevOps, Business, and Management teams.

·   Support technical interviews, onboarding, and knowledge sharing.

F. Deployment and Production Support

·   Use Git-based workflows, Docker, and CI/CD pipelines for builds and releases.

·   Own production health: troubleshoot incidents, fix performance bottlenecks, and lead root-cause analysis.

·   Maintain technical documentation, runbooks, and deployment procedures.

G. AI-Assisted Development

·   Use AI coding tools such as ChatGPT, Claude, GitHub Copilot, or Cursor for code, tests, debugging, and documentation.

·   Review and validate all AI-generated output before it reaches production.

Designing and Maintaining Banking Products

Designing Banking Products

·   Ledger-first design: build double-entry ledgers in PostgreSQL where every debit has a matching credit and balances can always be rebuilt from entries.

·   Transaction integrity: use idempotency keys, unique transaction references, and state machines so a request retried by a customer, bank, or network never posts twice.

·   Payment flows: design end-to-end flows for UPI, IMPS, NEFT, RTGS, and card or wallet payments, including timeouts, pending states, reversals, and refunds.

·   Distributed consistency: keep data consistent across microservices with Outbox, Saga, and compensating transactions instead of distributed locks.

·   Core banking integration: integrate with core banking systems such as Oracle FLEXCUBE or Finacle, NPCI and switch interfaces, and partner bank APIs.

·   Product configuration: model savings and current accounts, loans, deposits, and wallets so limits, charges, interest, and rules are configuration rather than code changes.

·   Customer lifecycle: support onboarding, KYC and e-KYC, account servicing, and closure with clear status tracking.

·   Security by design: encrypt sensitive data at rest and in transit, mask PII in logs, manage keys through HSM or a vault, and apply least-privilege access.

·   Regulatory compliance: build to RBI guidelines, including data localization, audit trails, and NPCI operating rules, and align with PCI DSS where card data is involved.

·   Controls: implement maker-checker approvals, transaction limits, velocity checks, and hooks for fraud and AML monitoring.

Maintaining Banking Products in Production

·   Reconciliation: run daily automated reconciliation between internal ledgers, partner banks, NPCI, and settlement files, and resolve mismatches within agreed timelines.

·   Settlement and batch jobs: own end-of-day and beginning-of-day processes, interest accrual, charges, and settlement runs, and make them safe to re-run.

·   High availability: design for 24x7 uptime with no single point of failure, graceful degradation, and defined RPO and RTO for disaster recovery.

·   Observability: track business and technical metrics such as transaction success rate, latency, and consumer lag in Prometheus and Grafana, with alerts before customers notice.

·   Incident management: lead incident response, customer-impact assessment, root-cause analysis, and post-incident fixes for failed or stuck transactions.

·   Safe change management: release through feature flags, canary or blue-green deployments, and backward-compatible APIs and schemas, with tested rollback plans.

·   Audit and reporting: keep immutable audit logs and support regulatory reports, internal audits, and data requests from banks and regulators.

·   Continuous improvement: track defects, performance, and technical debt, and plan regular upgrades of frameworks, libraries, and security patches.

Required Skills and Qualifications

Candidates must have hands-on experience in the following areas:

·   Backend: strong Java (Core Java, Java 17+), Spring Boot, Spring MVC, Spring Data JPA, and Spring Security.

·   Messaging: Apache Kafka, including producers, consumers, Kafka Streams, event design, partitioning, and offset management.

·   Database: strong SQL and PostgreSQL, including data modeling, transactions, isolation levels, indexing, and query tuning.

·   Architecture: microservices, distributed systems, event-driven design, OOP, and design patterns.

·   APIs: designing and documenting RESTful APIs with JSON and OpenAPI/Swagger.

·   Frontend: working knowledge of ReactJS, Next.js, JavaScript (ES6+), and TypeScript.

·   DevOps: Docker, Git (GitHub or GitLab), and CI/CD pipelines.

·   Testing: unit and integration testing with JUnit and Mockito, plus debugging and code review.

·   Leadership: experience guiding developers, reviewing code, planning tasks, and owning delivery.

·   Problem solving: strong debugging skills for production issues in distributed systems.

Mandatory Screening Requirement: Candidates must have strong backend experience in Java, Spring Boot, Kafka, and PostgreSQL, plus working frontend knowledge in ReactJS or Next.js. Frontend-only profiles will not meet the core requirement.

Good to Have

·   Payments domain: experience with UPI, IMPS, NEFT, RTGS, NPCI integrations, or card and wallet systems is highly preferred.

·   Message-driven patterns: event sourcing, CQRS, Saga, and Outbox.

·   Performance: experience building high-throughput, low-latency systems, such as payments or UPI switches.

·   Spring ecosystem: Spring Cloud, Spring Batch, Spring WebFlux, and Spring Integration.

·   Security: OAuth 2.0, JWT, OpenID Connect, encryption, key management, and OWASP practices.

·   Data and caching: Redis, PostgreSQL replication and partitioning, and Oracle Database or Oracle FLEXCUBE exposure.

·   Cloud and orchestration: Kubernetes, Jenkins or GitHub Actions, and AWS, Azure, or GCP.

·   Monitoring and quality: Prometheus, Grafana, ELK Stack, OpenTelemetry, and SonarQube.

·   Compliance: working knowledge of RBI guidelines, PCI DSS, and audit requirements.

·   Ways of working: experience in Agile/Scrum teams.

Preferred Domain Experience

·   Banking, Financial Services and FinTech.

·   Digital payments, lending, or core banking platforms.

·   Enterprise integrations and digital transformation projects.

Roles & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.
2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.
3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.
4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.
5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.
6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.
7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

1. Strong Automation Architect Profile with cloud-based automation strategy and framework architecture
2. Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6 years focused continuously on hands-on automation, including automation strategy and framework architecture
3. Mandatory (Experience 2) – Must have hands-on expertise building automation using industry automation tools and frameworks.
4. Mandatory (Experience 3) – Must have a proven record designing scalable automation solutions and leading automation initiatives end to end.
5. Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
6. Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
7. Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
8. Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
9. Mandatory (Title) – Current title must include "Architect". Candidates currently titled Automation Engineer, QA Automation Lead, DevOps Engineer, Cloud Engineer, or other non-architect profiles will not be considered
10. Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
11. Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)

We are looking for an SRE with DevOps expertise to maintain production system reliability, availability, and performance through automation, monitoring, and efficient incident management.

Responsibilities

• Monitor production systems and troubleshoot incidents.
• Manage Linux/Unix servers and cloud infrastructure.
• Develop and maintain CI/CD pipelines.
• Automate operational tasks using scripting.
• Manage infrastructure using Terraform or Ansible.
• Work with Docker and Kubernetes.
• Perform root cause analysis (RCA) and improve system reliability.

Required Skills

• SRE and DevOps experience.
• Linux/Unix administration.
• AWS, Azure, or GCP.
• CI/CD tools: Jenkins, GitLab, or GitHub Actions.
• Docker and Kubernetes.
• Terraform and Ansible.
• Python, Shell, or Bash scripting.
• Monitoring tools: Prometheus, Grafana, Splunk, or Datadog.
• Incident management and troubleshooting.

We are looking for a Lead DevOps Engineer with strong hands-on experience in AWS, GCP, CI/CD, Kubernetes, Docker, Terraform, Pulumi and DevSecOps. The candidate will lead DevOps teams, drive technical delivery with client stakeholders, design scalable and secure cloud infrastructure, and establish best practices for automation, deployment, reliability, and cost optimization across cloud environments.

### Key Responsibilities

* Lead and mentor DevOps engineers, drive technical execution, and ensure timely delivery of client requirements.

* Engage with client teams and architects to understand requirements, provide technical guidance, and drive solution design and implementation.

* Design, implement, and optimize CI/CD pipelines, GitOps workflows, and automated release processes.

* Architect and manage cloud infrastructure across AWS and GCP (Azure optional) using Infrastructure as Code.

* Lead containerization and orchestration initiatives using Docker, Kubernetes, and Helm.

* Drive DevSecOps, observability, SRE practices, disaster recovery, and cloud cost optimization.

* Troubleshoot complex production issues, drive root cause analysis, and ensure system reliability, security, and performance.

* Collaborate with Development, QA, Security, Architecture, and client teams to drive engineering standards and continuous improvement.

### Mandatory Skills

* 7-9 years of experience in DevOps, Cloud Engineering, or Platform Engineering, including team leadership and client-facing responsibilities.

* Strong hands-on experience with AWS and GCP, including cloud infrastructure, networking, security, and managed services.

* Expertise in CI/CD tools such as Jenkins, Azure DevOps, GitLab CI/CD, GitHub Actions, or equivalent platforms.

* Strong experience with Docker, Kubernetes, Helm, and managed Kubernetes services such as AKS, EKS, or GKE.

* Hands-on expertise in Terraform and Ansible, with experience in Infrastructure as Code and configuration management.

* Experience with GitOps practices and tools such as Argo CD or Flux.

* Strong understanding of Git, branching strategies, release management, and deployment automation.

* Experience implementing DevSecOps practices, including security scanning, secrets management, and vulnerability management.

* Experience with monitoring, logging, alerting, production troubleshooting, and root cause analysis.

* Proficiency in Linux administration, networking fundamentals, and Bash/Python/PowerShell scripting.

* Proven ability to lead teams, manage priorities, communicate with clients, and drive technical decisions independently.

independently.

### Preferred Skills

* Knowledge of SAST/DAST, SBOM, software supply chain security, and security policy enforcement.

* Experience with observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or Splunk.

* Experience with cloud migrations, hybrid environments, disaster recovery, high availability, and cost optimisation.

* Knowledge of service mesh technologies such as Istio or Consul, and API gateways or application gateways.

* Experience with enterprise cloud security, IAM, network security, and infrastructure

Job Description – Java Full Stack + DevOps Engineer

Position

Java Full Stack + DevOps Engineer

Hiring Requirement

HR: Gangadharam

Experience

8+ Years

Location

Bangalore & Hyderabad

Role Overview

We are looking for an experienced Java Full Stack + DevOps Engineer with strong expertise in Java, React or Angular, DevOps, Virtual Machines, Docker, and Kubernetes.

The ideal candidate should have strong hands-on experience in Java application development along with frontend technologies and containerization/deployment practices.

Mandatory Skills

• Java – Strong hands-on experience
• React or Angular – Frontend development experience
• DevOps – Good understanding of CI/CD and deployment practices
• Virtual Machines (VM)
• Docker
• Kubernetes

Key Responsibilities

• Design, develop, and maintain scalable applications using Java.
• Develop and integrate frontend applications using React or Angular.
• Work closely with DevOps teams to build and maintain CI/CD pipelines.
• Deploy and manage applications in Virtual Machine environments.
• Containerize applications using Docker.
• Deploy, manage, and troubleshoot applications using Kubernetes.
• Work on application performance, scalability, availability, and reliability.
• Collaborate with cross-functional teams including developers, DevOps engineers, and architects.
• Troubleshoot production and deployment-related issues.
• Follow best practices for coding, containerization, deployment, and application security.

Candidate Requirements

• 8+ years of IT experience with strong Java development experience.
• Hands-on experience in React or Angular.
• Strong understanding of DevOps concepts and practices.
• Experience working with VMs, Docker, and Kubernetes.
• Good understanding of application deployment and container orchestration.
• Strong communication and problem-solving skills.

Job Details

HR: Gangadharam

Role: Java Full Stack + DevOps Engineer

Experience: 8+ Years

Location: Bangalore & Hyderabad

Key Skills: Java + React/Angular + DevOps + VM + Docker + Kubernetes

Job Description: DevOps Engineer

Experience: 5–8 Years

Mandatory Skills: GitHub Actions, Harness, Scripting

Job Summary:

We are looking for a skilled DevOps Engineer with hands-on experience in GitHub Actions, Harness, and scripting to manage and optimize CI/CD pipelines, automate deployment processes, and improve software delivery efficiency.

Key Responsibilities:

• Design, develop, and maintain CI/CD pipelines using GitHub Actions and Harness.
• Automate build, testing, deployment, and release processes.
• Develop and maintain scripts using Python, Shell, Bash, or PowerShell.
• Manage source code repositories, version control, and deployment workflows.
• Troubleshoot pipeline failures and resolve deployment issues.
• Collaborate with development, QA, and infrastructure teams to streamline releases.
• Implement DevOps best practices for automation, reliability, and continuous delivery.
• Monitor pipeline performance and continuously improve deployment efficiency.

Required Skills:

• Hands-on experience with GitHub Actions.
• Experience in Harness CI/CD for pipeline creation and deployment automation.
• Strong scripting skills in Python, Shell, Bash, or PowerShell.
• Good understanding of CI/CD concepts and DevOps practices.
• Experience with Git and version control systems.
• Knowledge of build, release, and deployment processes.

Good to Have:

• Experience with Docker and Kubernetes.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Infrastructure as Code tools like Terraform.

Designation: DevOps Engineer / CI/CD Engineer

Tasks & Responsibilities: (Major task and role person will have to perform – list all the relevant points)    

Together with the Business Cloud Services team, you will design, deploy, and operate a cloud‑native Kubernetes PaaS platform on Azure, ensuring high availability, security, and operational excellence.

Your main duties include:

·      Drive cloud‑native automation and self‑service capabilities, ensuring platform security, availability, and disaster recovery readiness

·      Design, operate, and continuously improve Kubernetes clusters and PaaS environments on Azure / AKS

·      Collaborate closely with development teams on deployment strategies, operational requirements, and platform integration

·      Review and maintain infrastructure‑as‑code configurations, CI/CD pipelines, and cloud‑native deployments

·      Build and maintain CI/CD pipelines using Azure DevOps

·      Implement and operate infrastructure‑as‑code solutions using Terraform, Helm, and Ansible

·      Manage containerized workloads and orchestration across cloud‑native environments

·      Set up, operate, and enhance monitoring, logging, and alerting stacks using tools such as Prometheus and Grafana

·      Coordinate with support teams on platform incidents, escalations, and post‑incident analysis

·      Contribute to incident response, continuous improvement, and operational stability

·      Support the development and refinement of DevOps practices, runbooks, and operational standards

·      Actively contributes to improving developer experience and platform reliability

Education & Trainings + Certifications: (Basic & Professional)

·      Bachelor’s degree (Preferably engineering graduate)

·      Azure Solutions Architect Expert Certification is a plus.

·      (optional) ITIL Foundation 

Technical know-how: (Mention the technology on which person must be experienced)

Mandatory

o  Bachelor’s degree in computer science, Information Systems, or a related field

o  5+ years of relevant professional experience in DevOps, Cloud Engineering, or Platform Engineering roles

o  Strong Linux system administration skills for operating production‑grade cloud‑native platforms

o  Proven experience with Microsoft Azure, including AKS and Azure DevOps tooling

o  Strong expertise in Kubernetes, including cluster operations, RBAC, networking, and storage

o  Hands‑on experience with container technologies such as Docker and container registries

o  Proficiency with Terraform, Helm, Ansible, and PowerShell

o  Experience building and operating CI/CD pipelines using Azure DevOps or equivalent tools

o  Cloud‑native monitoring and observability experience using Prometheus, Grafana, and alerting pipelines

o  Solid understanding of security and compliance requirements such as PCI DSS and SOC2

o  Scripting skills for automation and tooling (Bash, Python, PowerShell)

o  Practical experience using Git for version control

o  Excellent communication skills in English (Spanish is a plus)

o  Automation‑first mindset and strong collaboration skills within Agile teams

Good to know

Principles of Agile Software Development.

·      GitHub Actions, GitLab CI, Jenkins, Azure DevOps

·      Containers: Docker, Kubernetes (EKS / AKS / GKE)

·      Configuration Management: Ansible

Site reliability engineer - Experience: 5+ Years

Location: mumbai

Mandatory Skills: SRE (site reliability engineering) , aws cloud , and devops

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.

2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).

2+ years' experience in infrastructure design, platform engineering, or architecture.

Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.

Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).

Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.

Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.

Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.

Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.

Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.

Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).

Preferred

Required Skills:

• Strong experience in Site Reliability Engineering (SRE) and DevOps practices.
• Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
• Strong knowledge of AWS, Azure, or GCP cloud platforms.
• Experience with Docker, Kubernetes, and container orchestration.
• Hands-on experience with Terraform, Ansible, or other Infrastructure as Code (IaC) tools.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Splunk, ELK, or Datadog.
• Good scripting skills in Python, Bash, or Shell scripting.
• Understanding of SLI, SLO, SLA, error budgets, and service reliability.
• Experience in incident management, troubleshooting, root-cause analysis (RCA), and production support.
• Knowledge of system performance monitoring, capacity planning, high availability, and disaster recovery.
• Experience with Linux/Unix administration and networking fundamentals.
• Familiarity with Agile methodologies, Git, and automated deployment practices.

Job Summary

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

Key Responsibilities

• Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
• Handle production incidents, troubleshoot issues, and perform root cause analysis.
• Manage and automate infrastructure deployment and operational tasks.
• Work with CI/CD pipelines and container orchestration platforms.
• Implement monitoring, alerting, and observability solutions.
• Collaborate with development and operations teams to improve system reliability.
• Support cloud infrastructure, Linux environments, and production deployments.
• Identify recurring issues and implement preventive measures to reduce downtime.

Job Description

We are looking for an experienced .NET Full Stack Developer with strong expertise in backend and frontend development. The ideal candidate should have hands-on experience in building, developing, and maintaining scalable web applications using C#, .NET/.NET Core, Angular 16, SQL, PostgreSQL, and AWS.

Key Responsibilities

• Design, develop, and maintain scalable web applications using C#, .NET and .NET Core.
• Develop responsive and user-friendly web applications using Angular 16, JavaScript, HTML, and CSS.
• Develop and integrate RESTful APIs and third-party services.
• Design, write, optimize, and maintain complex SQL queries, stored procedures, and database objects.
• Work with SQL Server and PostgreSQL databases.
• Implement application features following coding standards, security practices, and development best practices.
• Participate in the complete software development lifecycle, including design, development, testing, debugging, deployment, and maintenance.
• Deploy and manage applications using AWS cloud services.
• Develop and maintain CI/CD pipelines for automated build, testing, and deployment.
• Troubleshoot production issues and perform application performance optimization.
• Collaborate with developers, QA teams, business analysts, and other stakeholders to understand requirements and deliver quality solutions.
• Participate in code reviews and ensure code quality, scalability, maintainability, and security.
• Work in an Agile/Scrum development environment.

Mandatory Skills

• C#
• .NET / .NET Core
• ASP.NET Core
• Angular 16
• JavaScript
• HTML5 / CSS3
• SQL
• PostgreSQL
• REST API / Web API
• AWS
• CI/CD
• DevOps
• Git

Backend

• C#
• .NET / .NET Core
• ASP.NET Core
• Web API
• RESTful APIs
• Entity Framework / EF Core
• LINQ

Frontend

• Angular 16
• JavaScript / TypeScript
• HTML5
• CSS3
• Responsive UI development

Database

• SQL
• SQL Server
• PostgreSQL
• Complex queries
• Stored Procedures
• Database optimization

Cloud & DevOps

• AWS
• AWS cloud services
• CI/CD pipelines
• Build and deployment automation
• Git / GitHub
• Basic DevOps practices

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience working in Agile/Scrum environments.
• Good knowledge of Git and modern software development practices.
• Experience with application performance tuning and production support.
• Strong problem-solving and analytical skills.
• Good communication and collaboration skills.

AWS / Kubernetes / OpenShift / Linux – Job Description

Role: Cloud / DevOps Engineer

Experience: 4–8 Years

Location: Bangalore

Mandatory Skills: AWS, Kubernetes, OpenShift, Linux

Job Summary

Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.

Key Responsibilities

• Manage and support AWS cloud infrastructure and services.
• Deploy and manage applications using Kubernetes and OpenShift.
• Perform Linux administration, troubleshooting, and issue resolution.
• Monitor application and infrastructure health and resolve production issues.
• Work on containerized applications and deployments.
• Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
• Troubleshoot cloud, container, and Linux-related issues.
• Collaborate with development and operations teams for deployments and releases.
• Follow security, availability, and operational best practices.

Mandatory Skills

• Strong hands-on experience in AWS
• Good experience with Kubernetes
• Hands-on experience in OpenShift
• Strong Linux administration and troubleshooting skills
• Experience in cloud/container environment support
• Good production troubleshooting and incident management skills

Job Title: Java AWS Kubernetes DevOps AI/ML

Experience: 8–10 Years

The candidate should have at least 1 year of experience in AI/ML and hands-on experience with the below technologies:

Java

AWS

Kubernetes

DevOps

AI/ML

MongoDB / PostgreSQL

Key-Value Caching

Vector Databases – ChromaDB / Pgvector

Job Title : DevOps Engineer

Experience : 7+ Years

Working Hours : 3:30 AM – 11:30 AM ET

Duration : 12–18 Months

Engagement : Contract

Freelance : Not Applicable

BGV : Required

Role Overview :

We are looking for an experienced DevOps Engineer to design, implement, and optimize DevOps practices, CI/CD pipelines, deployment automation, and cloud-native delivery platforms. The role will focus on enabling secure, reliable, and efficient software delivery while improving infrastructure automation, release processes, platform reliability, and operational resilience.

Mandatory Skills :

DevOps, CI/CD, Azure DevOps / GitHub Actions, Kubernetes, Docker, PowerShell / Python / Bash, Automation, Monitoring & Observability, DevSecOps, IaC, Troubleshooting, and Production Support.

Key Responsibilities :

• Design, build, and maintain CI/CD pipelines for enterprise application delivery and release management.
• Develop deployment automation frameworks to improve release quality, consistency, scalability, and efficiency.
• Administer Kubernetes and containerized environments and supporting orchestration platforms.
• Improve build, test, deployment, and release workflows for development teams.
• Integrate automated testing, security scanning, validation, and compliance controls into CI/CD pipelines.
• Implement monitoring, logging, alerting, and observability solutions for platform and application environments.
• Troubleshoot deployment failures, production issues, and platform incidents; perform root cause analysis.
• Develop automation scripts and tools using PowerShell, Python, Bash, or similar technologies.
• Implement Infrastructure as Code and automation practices to reduce manual effort and operational risk.
• Collaborate with Cloud, Infrastructure, Security, and Application teams to deliver scalable and resilient solutions.
• Maintain deployment standards, release procedures, technical documentation, and operational runbooks.
• Apply DevOps, DevSecOps, and SRE best practices to improve delivery speed and platform reliability.
• Evaluate emerging DevOps technologies and recommend improvements.
• Mentor team members on DevOps methodologies, automation, and platform engineering practices.
• Act as an escalation point for critical deployment, infrastructure, and platform issues.

Required Technical Skills :

1. DevOps & CI/CD :

• 7+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Software Engineering.
• Strong experience designing and supporting CI/CD pipelines and release management.
• Hands-on experience with Azure DevOps, GitHub, GitHub Actions, or equivalent platforms.
• Strong understanding of Git, branching strategies, release management, and deployment methodologies.

2. Containers & Cloud :

• Strong hands-on experience with Kubernetes and Docker/containerization.
• Understanding of cloud-native application architectures and distributed systems.
• Experience supporting production-grade containerized environments.

3. Automation & IaC :

• Strong proficiency in PowerShell, Python, Bash, or similar scripting languages.
• Experience developing automation frameworks and deployment tooling.
• Knowledge of Infrastructure as Code (IaC) concepts.
• Experience with Terraform, Bicep, or similar tools is preferred.

4. Monitoring & Reliability :

• Experience with monitoring, logging, observability, and alerting.
• Strong troubleshooting and root cause analysis skills.
• Experience supporting highly available and resilient production systems.
• Knowledge of SRE practices is preferred.

5. Security & DevSecOps :

• Understanding of DevSecOps and secure software delivery practices.
• Experience integrating vulnerability scanning, security controls, and compliance checks into CI/CD pipelines.
• Knowledge of IAM, secrets management, and access control within DevOps environments.

Preferred Qualifications :

• Hands-on experience with Microsoft Azure.
• Experience with Terraform/Bicep or other IaC tools.
• Knowledge of SRE and platform engineering practices.
• Relevant Azure, Kubernetes, Cloud, or DevOps certifications.

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.

Job Description – DevOps + Python

Job Title: DevOps + Python Developer

Experience: 4–10 Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Mandatory Skills

• Python
• Kubernetes
• Containerization
• DevOps
• Cloud Exposure – Any Cloud platform (AWS / Azure / GCP)

Job Description

We are looking for experienced DevOps + Python professionals with strong hands-on experience in Python development and DevOps practices.

The candidate should have practical experience with Kubernetes and containerization, along with exposure to cloud platforms and DevOps processes.

Key Responsibilities

• Develop and maintain applications/scripts using Python.
• Work with Kubernetes and containerized environments.
• Support DevOps processes and automation.
• Work with cloud platforms and cloud-based environments.
• Collaborate with development and infrastructure teams.
• Troubleshoot and resolve deployment and environment-related issues.

Role Overview

We are looking for an experienced **Site Reliability Engineer (SRE) / Production Support Engineer** with strong expertise in application/production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The candidate will be responsible for ensuring the **availability, reliability, and performance of production applications**, troubleshooting critical issues, monitoring systems, and supporting production deployments.

#### Key Responsibilities & Skills

- Strong experience in **Application / Production Support**.

- Hands-on experience in **Production Issue Handling and Incident Management**.

- Experience in **Batch Monitoring** and production monitoring activities.

- Good understanding of **Network, Load Balancing, and Database-related issues**.

- Strong understanding of **SLI, SLO, Error Budget, and Burn Rate concepts**.

- Hands-on experience with **Splunk queries and dashboard creation/monitoring**.

- Experience with **APM (Application Performance Monitoring) tools**.

- Experience supporting **Production Deployments**, including **Blue-Green and Canary deployments**.

- Good knowledge of **Cloud Operations**.

- Hands-on experience with **Docker, Kubernetes, and Terraform/IaC**.

- Strong knowledge of **Linux/Windows administration and shell scripting**.

- Experience with **Windows administration and scripting**.

- Knowledge of **Python scripting/automation**.

- Exposure to **GenAI tools such as GitHub Copilot, Claude, or similar tools** for day-to-day operational activities.

- Strong troubleshooting, problem-solving, and incident-resolution skills.

Shift Timings

The role involves rotational shifts:

Job Title : DevOps / Infrastructure Engineer

Experience : 3+ Years

Location : Gurugram Sector 48

Work Mode : 6 Days WFO (Monday to Saturday) / 01st & 03rd Saturdays are off

Employment Type : Full-time

Role Overview :

We are looking for a DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, Jenkins, Docker, networking, bare-metal servers, AWS, Redis, and MongoDB. The candidate should be capable of independently troubleshooting infrastructure, deployment, networking, and application-related issues in production environments.

Mandatory / Non-Negotiable Skills :

• Strong hands-on experience with Linux Administration & Troubleshooting.Strong experience with Jenkins and CI/CD pipelines.
• Hands-on experience with Docker and containerized environments.
• Strong understanding of Networking concepts – TCP/IP, DNS, HTTP/HTTPS, ports, routing, firewalls, load balancing, etc.
• Hands-on experience with Bare Metal Servers / Server Administration.
• Strong hands-on experience with AWS (EC2, VPC, IAM, Security Groups, Load Balancers, S3 & CloudWatch)
• Working knowledge of Redis
• Working knowledge of MongoDB
• Strong production troubleshooting and incident-resolution skills

Key Responsibilities :

• Manage, configure, monitor, and troubleshoot Linux and bare-metal servers
• Build, maintain, and troubleshoot Jenkins CI/CD pipelines
• Deploy, manage, and troubleshoot applications using Docker
• Manage and troubleshoot AWS infrastructure and services
• Configure and maintain networking, security groups, firewalls, ports, and connectivity
• Support and maintain Redis and MongoDB environments
• Perform server health checks, log analysis, performance troubleshooting, and incident resolution
• Work closely with development teams to support application deployments
• Identify root causes of infrastructure and production issues and implement preventive solutions
• Maintain infrastructure security, availability, and reliability
• Automate repetitive operational tasks wherever possible

Required Candidate Profile :

• 3+ years of relevant experience in DevOps, Infrastructure, System Administration, or related roles.
• Strong hands-on / production experience with all mandatory technologies.
• Good understanding of Linux systems and infrastructure.
• Strong troubleshooting and problem-solving abilities.
• Ability to take ownership of production infrastructure and deployment issues.
• Good communication and collaboration skills.

Job Summary:

We are looking for a Senior SRE/DevOps Engineer with strong experience in site reliability, automation, monitoring, observability, and production support. The candidate will be responsible for ensuring the reliability, availability, security, and performance of enterprise platforms.

Key Responsibilities:

• Own reliability, availability, security, and performance of enterprise browser platforms.
• Manage access and identity controls, Group Policy, and SAML/SSO integrations.
• Handle CI/CD deployments, configuration management, monitoring, and health checks.
• Develop automation and operational workflows using Python and Bash.
• Perform performance monitoring and production troubleshooting.
• Implement and maintain observability frameworks.
• Work with monitoring tools such as Datadog, Splunk, Dynatrace, Prometheus, and Grafana.
• Participate in incident management, RCA, and continuous improvement activities.
• Support highly available production environments in a 24/7 shift model.
• Collaborate with application, infrastructure, security, and operations teams.

Mandatory Skills:

• 10+ years of experience in SRE / DevOps.
• Strong hands-on experience in Python and Bash scripting.
• Experience with CI/CD and configuration management.
• Strong knowledge of monitoring and observability.
• Hands-on experience with Datadog, Splunk, Dynatrace, Prometheus, or Grafana.
• Experience with SAML/SSO, Identity & Access Management, and Group Policy.
• Banking domain experience.

SFDC DevOps position (looking for immediate Joiners – candidate has to work in Bangaluru Hybrid ( twice a week) ,  

• 5+ years of experience in Salesforce DevOps or Release Management. 
• Strong knowledge of Salesforce platform, including metadata structure and deployment strategies. 
• Hands-on experience with DevOps tools (GitHub, Azure DevOps). 
• Proficiency in version control systems (Git) and branching strategies. 
• Experience with SFDX CLI, Salesforce APIs, and automation scripts. 
• Familiarity with Agile/Scrum methodologies and release planning. 
• Excellent problem-solving and communication skills. 
• Experience with PMD and Checkmarx scanning tools automation for code quality and security. 
• Experience with SSO certificate renewal processes. 

IoT Engineer – Telematics & C#/.NET

Experience :05+ Years

Location : Ahmedabad

ABOUT MYFMS

MyFMS is Micpoint B.V.'s SaaS platform for fleet, facility, and access management, built on .NET and C#, and hosted on our own private cloud in the Netherlands, spread across two data centers. A key part of MyFMS is its connector layer: the software that links telematics and IoT hardware in the field (such as GPS trackers and CAN-bus interfaces) to the platform. To further build out and standardize this layer, we're looking for an IoT Engineer with C#/.NET development experience.

WHAT YOU'LL DO

•    Implement and maintain telematics integrations in C#/.NET on MyFMS's connectors, which link telematics hardware (e.g. GPS trackers and CAN-bus interfaces) to the platform.

•    Investigate which configurations, protocol settings, and command sets of supported hardware (e.g. CAN/LVCAN parameters) can serve as a standard, and document them.

•    Research and manage firmware versions for telematics devices, and advise on firmware updates and compatibility.

•    Translate device-specific protocols into a uniform, reusable data structure within the platform.

•    Document device configurations and firmware standards in Markdown for the development team and support organization.

•    Work according to our DevOps way of working, integrating your work into the CI/CD pipelines we use for testing and releases.

•    Collaborate with the (international) development team on the architecture of the connector layer and contribute to the technical roadmap.

•    Support troubleshooting of field issues, such as connectivity or synchronization problems with hardware.

•    Build simulators for telematics hardware, so protocols, configurations, and firmware behavior can be tested without needing physical devices.

•    Use AI, and work with and train models, to build simulations and test setups.

•    Ensure the connector integrations are fully testable (including unit and integration tests), safeguarding the quality of the telematics integrations.

WHAT THE ROLE REQUIRES

•    Bachelor's/Master's level thinking and working ability in a technical field, e.g. Electrical Engineering, Embedded Systems, Computer Science, or similar.

•    Demonstrable experience with software development in C#/.NET.

•    Affinity with or experience in IoT/telematics hardware, such as GPS trackers, CAN-bus interfaces, and sensors.

•    Experience with Ruptela, Teltonika, and Digital Matter hardware is a plus.

•    Knowledge of communication protocols such as CAN, LVCAN, OBD-II, MQTT, and/or TCP/IP is a plus.

•    Experience reading, configuring, or updating firmware on embedded devices is a plus.

•    Experience building test or simulation tools (e.g. device or protocol simulators) and with test automation (unit/integration tests) is a plus.

•    Experience with DevOps practices and CI/CD pipelines (incl. Azure DevOps) is a plus.

•    Affinity with AI/machine learning, for example training models for simulations and test setups, is a plus.

•    You're analytical and structured: you enjoy bringing order to a wide range of device configurations and documenting what you find.

•    You value quality assurance and structurally build testability into your own work.

•    You're proficient in English, spoken and written (the team's working language); Dutch is not required.

Hiring | Senior C#/.NET Developer – Contractual Role

Location: India

Experience: 3-8 Years

Employment Type: Contractual

We are looking for a C#/.NET Developer to develop software tools supporting advanced Banknote Processing Systems.

Key Skills:

• Strong C# / .NET Core / .NET Framework

• Desktop application development

• WPF knowledge/customization

• Unit & Integration Testing – MSTest / xUnit / NUnit

• Git, Visual Studio, Azure DevOps & Azure Boards

• Agile/Scrum development experience

• Secure coding & data protection

• Strong problem-solving and software design skills

• Excellent English communication skills

Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience

2

Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.

3

Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).

4

Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security

5

Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.

6

Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation

7

Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills

8

Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting

9

Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI

10

Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.

11

Mandatory (Company): B2B SaaS product companies

12

Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.

13

Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog

14

Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability

About Us

Corporate Web Solutions works with modern development and digital transformation technologies, providing interns with practical exposure to software development and deployment workflows.

Role Overview

As a DevOps Intern, you'll gain hands-on exposure to deployment, automation, version control, CI/CD, and cloud technologies.

Key Responsibilities

• Assist with application deployment.
• Work with Git and version control.
• Learn CI/CD workflows.
• Assist with development automation.
• Explore cloud and DevOps tools.
• Monitor and troubleshoot development environments

.

Requirements

• Basic understanding of software development.
• Familiarity with Git/GitHub.
• Basic Linux knowledge is a plus.
• Interest in cloud and DevOps technologies.
• Willingness to learn.

Perks

• Certificate of Internship
• Flexible work hours
• Mentorship and real project exposure
• Potential for PPO
• Letter of Recommendation
• Performance-Based Stipend available up to ₹18,000/month

Job Description: 

Lead regional transformation programs, driving the entire solution architecture lifecycle, 

from conceptualization to execution, with a focus on agile and DevOps practices. 

Accountable for leading the IT Architecture for all projects and programs, focusing on 

innovative business and IT solutions in the insurance domain, such as new-age digital 

platforms, cloud-native applications, AI/ML-powered decision-making, and data-driven 

insights.

Preferred skills  

• Demonstrated expertise in developing cloud-native, microservices-based, and API

driven insurance solutions, leveraging modern architectural patterns and emerging 

technologies such as AI/ML, big data, and IoT. 

• Thorough understanding of common patterns, frameworks, and reference 

architectures for the Insurance domain, with a focus on digital transformation and 

innovation. 

• Proven experience in leading regional transformation programs, driving the adoption 

of agile and DevOps practices. 

• Asia regional experience is an advantage.

Qualifications 

Minimum Bachelor's degree, preferably with a Master's degree in Computer Science, 

Engineering, or a related discipline. 

• 15+ years of IT experience, with a minimum of 7+ years in the insurance industry, 

focusing on the application of emerging technologies.

Job Title : DevOps Engineer – Linux, AWS & Infrastructure

Experience : 3+ Years

Location : Sector 48, Gurgaon

Work Mode : 6 Days WFO – Monday to Saturday

Week Off : 01st & 03rd Saturday Off

Employment Type : Full-Time

Job Summary :

We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.

Key Responsibilities :

• Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
• Perform system administration, networking, performance monitoring, and production troubleshooting.
• Design, maintain, and optimize Jenkins-based CI/CD pipelines and deployment workflows.
• Manage Docker containers and Kubernetes environments.
• Work with AWS Cloud services, infrastructure, security, and deployment environments.
• Monitor system health, application performance, logs, and infrastructure using appropriate monitoring and logging tools.
• Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
• Automate repetitive operational tasks using Python, Bash, Shell scripting, or similar technologies.
• Implement infrastructure and application security, access controls, patching, and hardening.
• Investigate production incidents, perform root-cause analysis (RCA), and drive issues to resolution.
• Take end-to-end ownership of infrastructure reliability, availability, and operational issues.
• Collaborate with development and other engineering teams to improve deployment, scalability, and system reliability.

Mandatory Skills :

Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership

Preferred Skills :

• Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSH, load balancing, and networking fundamentals.
• Hands-on experience with Terraform / CloudFormation.
• Experience with Prometheus, Grafana, ELK / EFK, CloudWatch, or similar monitoring / logging tools.
• Good understanding of Linux performance troubleshooting, processes, memory, disk, networking, and file systems.
• Experience handling production incidents, RCA, deployments, and system reliability.
• Exposure to cloud security, IAM, secrets management, and server hardening.

What We’re Looking For :

• 3+ years of hands-on experience in DevOps / SRE / Infrastructure Engineering.
• Strong practical knowledge rather than certification-based/theoretical understanding.
• Good troubleshooting and analytical skills.
• Strong sense of ownership and accountability for production systems.
• Comfortable working in a 6-day work-from-office environment.

About the Role

We are looking for a high-energy, research-driven, and execution-focused Sales Development Representative (SDR) to build qualified sales pipeline through outbound prospecting and lead qualification.

This role is responsible for identifying target accounts, engaging decision-makers through personalized outreach, qualifying opportunities, and scheduling meetings for the Account Executive team. You will play a critical role in building the top of Comprinno's sales funnel and creating predictable pipeline growth.

The ideal candidate is persistent, curious, highly organized, and comfortable engaging technology leaders through multiple communication channels. You should enjoy researching companies, uncovering business opportunities, and creating meaningful conversations that translate into qualified sales opportunities.

Key Responsibilities:

Prospecting & Account Research

• Identify target accounts aligned with Comprinno's Ideal Customer Profile (ICP).
• Research companies, industries, and technology landscapes to identify potential cloud transformation opportunities.
• Map key decision-makers including Founders, CTOs, CIOs, VP Engineering, Engineering Managers, and IT leaders.
• Build and maintain high-quality prospect lists using CRM, LinkedIn, Apollo, Clay, and other prospecting tools.

Outbound Prospecting

• Execute structured outbound campaigns through:
• Email
• Cold Calling
• LinkedIn
• WhatsApp
• Personalized multi-channel outreach
• Personalize outreach based on customer industry, business priorities, and technology landscape.
• Execute disciplined follow-up cadences to maximize response and engagement rates.
• Continuously improve messaging based on campaign performance and customer feedback.

Lead Qualification

• Conduct initial discovery conversations to understand customer challenges, priorities, and technology initiatives.
• Qualify prospects based on predefined qualification frameworks and buying intent.
• Identify opportunities related to:
• Cloud Migration
• Cloud Modernization
• Managed Services
• Security
• Data & AI
• Generative AI
• Schedule qualified meetings for the Account Executive team with comprehensive handover notes.

Pipeline Contribution

• Consistently achieve weekly and monthly outreach, meeting, and SQL targets.
• Maintain high-quality pipeline creation across startup, ISV, mid-market, and enterprise segments.
• Monitor personal conversion metrics and continuously improve performance.
• Support Account Executives in achieving pipeline and revenue objectives.

CRM & Sales Operations

• Maintain accurate CRM records for all prospect interactions.
• Update lead status, qualification notes, follow-up actions, and meeting outcomes.
• Ensure excellent CRM hygiene and adherence to sales processes.
• Track personal KPIs and activity metrics.

Collaboration & Continuous Learning

• Work closely with Marketing to support outbound campaigns and account-based initiatives.
• Collaborate with Account Executives, Presales Engineers, and Sales Leadership to improve lead quality.
• Share customer insights, objections, and competitive intelligence.
• Participate in coaching sessions, role plays, sales enablement, and product training.

Required Qualifications & Skills

• Bachelor's degree in Business, Engineering, Technology, Marketing, or related disciplines.
• 1–3 years of experience as an SDR or BDR
• Experience working in IT Services, Cloud Consulting, SaaS, or Technology Services organizations.
• Proven experience booking qualified meetings for the India market.
• Excellent written and verbal communication skills in English.
• Confidence in cold calling and outbound prospecting.
• Strong research and account-mapping abilities.
• Effective objection-handling and relationship-building skills.
• Strong attention to detail, CRM discipline, and process orientation.
• High energy, resilience, and execution focus.

Desired Qualifications & Skills

• Experience using SDR platforms such as Apollo, Clay, Outreach, Salesloft, HubSpot, LinkedIn Sales Navigator, or similar tools.
• Familiarity with AI-assisted prospecting, research, and outreach tools.
• Understanding of Cloud Computing, DevOps, AI, Cybersecurity, or Managed Services.
• Knowledge of B2B sales qualification methodologies.
• AWS Cloud Practitioner certification (or willingness to pursue certification).

What We're Looking For

• Strong curiosity and research mindset.
• High persistence and resilience.
• Excellent communication and listening skills.
• Strong organizational and time-management abilities.
• High ownership and accountability.
• Coachable with a continuous learning mindset.
• Ability to thrive in a fast-paced, target-driven environment.

What Success Looks Like

• Consistent achievement of weekly and monthly outreach, meeting, and SQL targets.
• High-quality lead qualification with strong acceptance rates from Account Executives.
• Excellent CRM hygiene and process compliance.
• Continuous improvement in response rates, meeting conversion, and qualification quality.
• Strong collaboration with Marketing, Presales, and Sales teams.
• Meaningful contribution to predictable pipeline generation and revenue growth.

Why Join Comprinno

• Work at the forefront of cloud innovation with one of the leading AWS consulting partners in the APJ region.
• Gain exposure to Cloud, DevOps, Managed Services, Data Analytics, and AI solution selling.
• Learn directly from experienced Sales Leaders, Presales Engineers, and Solution Architects.
• Accelerate your growth through structured coaching, AWS certifications, and continuous learning.
• Build expertise in enterprise technology sales and consultative selling.
• Join a collaborative, high-performance culture that values ownership, innovation, and customer success.

DevOps / Infrastructure Engineer

Location: Chennai

Experience: 5+ Years

Role: DevOps / Infrastructure Engineer

Job Description

We are looking for an experienced DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, containerization, Kubernetes, automation, monitoring, and troubleshooting.

Mandatory Skills

• 5+ years of experience in DevOps / Infrastructure Administration
• Strong hands-on experience with Linux Administration
• Experience with Docker and Kubernetes
• Monitoring tools: AppDynamics, Prometheus, Grafana
• Strong Shell Scripting / Python Scripting skills
• Hands-on experience with Ansible 4.1
• Strong troubleshooting and problem-solving skills
• Experience in infrastructure/application monitoring and production support
• Good understanding of DevOps practices and automation

Key Responsibilities

• Manage and support Linux-based infrastructure and production environments.
• Deploy, manage, and troubleshoot applications using Docker and Kubernetes.
• Develop and maintain automation scripts using Shell/Python.
• Automate infrastructure and configuration management using Ansible.
• Monitor applications and infrastructure using AppDynamics, Prometheus, and Grafana.
• Perform root-cause analysis and resolve infrastructure/application issues.
• Handle incidents, troubleshoot performance issues, and ensure system availability.
• Collaborate with development and operations teams to improve deployment and operational processes.

DevOps & Cloud Security Specialist to architect enterprise-grade AWS networking, implement strict IAM security boundaries (HIPAA/GDPR compliance), automate infrastructure via IaC, and maintain crystal-clear technical documentation.

1. Primary Must-Have Competencies (Core Priorities)

A. AWS Networking & VPC Topology (Top Priority)

• Advanced VPC Architecture: Mastery in designing multi-VPC topologies, isolated subnets, custom Route Tables, NAT Gateways, Transit Gateways, and Cross-Region VPC Peering.
• Private Network Security: Extensive experience using VPC Endpoints (Gateway & Interface/PrivateLink) to keep internal AWS traffic completely off the public internet.
• Traffic Ingestion & Edge Security: Expertise in AWS WAF (custom rules, bot control, rate limiting), API Gateway throttling, ALB configuration, and Route 53 global routing.

B. AWS Security, IAM Architecture & Compliance

• Enterprise IAM Governance: Expertise in AWS Organizations, IAM Identity Center (SSO), Permission Boundaries, Service Control Policies (SCPs), and temporary role assumption across multi-account setups.
• Data Protection & Key Management: Deep knowledge of AWS KMS (customer-managed keys, envelope encryption at rest and in transit) and AWS Secrets Manager.
• Audit & Compliance: Setting up centralized logging pipelines (CloudTrail, GuardDuty, AWS Config, CloudWatch Audit Logs) for strict HIPAA/GDPR compliance.

C. Infrastructure as Code (IaC) & Containerization

• Terraform / AWS CDK: Must write production-grade, modular IaC templates from scratch—enforcing network topology and security guardrails directly in code.
• Container Orchestration: Hands-on setup and management of AWS ECS (Fargate) or EKS (Kubernetes) and automated CI/CD pipelines (GitHub Actions, GitLab CI).

D. Architecture Documentation & Systems Mapping

• Technical Documentation: Ability to author clean, standardized architecture diagrams (e.g., C4 model, Draw.io, Lucidchart) and maintain comprehensive runbooks, incident response plans, and compliance documentation.

2. Secondary Competency (Strong Advantage, Not Mandatory)

• Backend Software Development: Hands-on experience or a background in writing/debugging backend code in Node.js, Python, or Go.
• Note: The primary responsibility is cloud infrastructure, security, and automation. However, the ability to read backend code, debug API bottlenecks, or assist developers with microservice integrations is a major bonus.

We are looking for a senior, hands-on DevOps and Backend Integration Engineer to lead the production deployment and integration of an existing application ecosystem.

The platform currently includes a Flutter mobile application, a Laravel backend and admin panel, Node.js/AdonisJS APIs, a Python recommendation service, Redis, MySQL, Nginx, and AWS S3.

This is not a greenfield development role. The primary objective is to audit the existing system, establish a reliable production infrastructure, integrate all services, migrate traffic safely, and complete the production launch.

Responsibilities

• Audit the existing Hostinger environment, source repositories, application dependencies, database, Redis configuration, and deployment process.

• Design a secure and maintainable production architecture for Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, AWS S3, and the Flutter application.

• Provision and configure Linux production servers, runtimes, SSH access, environment variables, permissions, SSL, and basic server security.

• Deploy and configure the Laravel application, admin panel, APIs, scheduled tasks, queues, and database connectivity.

• Deploy the Node.js/AdonisJS services with a reliable build, startup, logging, and process-management setup.

• Build a Git-based CI/CD pipeline for staging and production, including secrets management, deployment validation, and basic rollback handling.

• Configure Nginx as a reverse proxy and route traffic between Laravel and Node.js services using API versions and endpoint rules.

• Install and integrate Redis for agreed caching, queue, or session-management requirements.

• Configure AWS S3, IAM permissions, secure file access, and photo-upload integration to replace local server storage.

• Integrate the existing Python recommendation service with the Node.js backend, including timeout, retry, error-handling, and service-health scenarios.

• Support controlled migration of API traffic from Laravel to Node.js while preserving existing API contracts.

• Verify Flutter API compatibility, production environment configuration, authentication flows, media uploads, and backend-related integration issues.

• Conduct end-to-end, regression, and smoke testing across Flutter, Nginx, Laravel, Node.js, Redis, Python, MySQL, and AWS S3.

• Perform production cutover, validation, troubleshooting, and technical handover.

• Deliver clear architecture, deployment, routing, environment, rollback, and operational documentation.

Required Experience

• 5+ years of professional backend, DevOps, infrastructure, or platform-engineering experience.

• Strong hands-on Linux server administration and production deployment experience.

• Proven experience deploying and operating Laravel/PHP and Node.js applications.

• Strong knowledge of Nginx reverse proxy configuration, SSL, upstream services, and API routing.

• Experience creating CI/CD pipelines using GitHub Actions, GitLab CI, Bitbucket Pipelines, or a comparable platform.

• Practical experience with AWS S3, IAM permissions, secure media uploads, and cloud-storage integration.

• Experience with Redis, MySQL, background workers, queues, scheduled jobs, and application caching.

• Experience integrating Python services or machine-learning/recommendation APIs with Node.js applications.

• Good understanding of REST APIs, API versioning, authentication, secrets management, logging, monitoring, backups, and rollback procedures.

• Ability to independently investigate an existing codebase and resolve production integration problems.

• Strong written English and the ability to produce clear technical documentation.

Nice to Have

• Experience with AdonisJS.

• Experience supporting Flutter applications and mobile backend integrations.

• Experience migrating applications from shared hosting or Hostinger to a production cloud server.

• Experience with Google Maps Platform or location-based application services.

• Docker experience is helpful, although Kubernetes is not required.

Expected Deliverables

• Documented production architecture.

• Fully configured production infrastructure.

• Working Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, and AWS S3 integrations.

• Functional staging and production CI/CD workflows.

• Tested Laravel and Node.js coexistence with controlled API routing.

• Successful end-to-end production deployment.

• Rollback, deployment, configuration, and operational documentation.

Engagement Details

• Contract duration: approximately 4–5 weeks.

• Work arrangement: remote.

• Availability: candidates should be able to begin shortly and provide regular written progress updates.

• The current Node.js APIs and recommendation algorithm already exist. Major new product features, algorithm redesign, extensive Flutter feature development, and database redesign are outside the initial scope.

How to Apply

Please include:

1. Examples of Laravel and Node.js systems you have deployed to production.

2. Details of a CI/CD pipeline and Nginx routing setup you personally implemented.

3. Your experience integrating Redis, AWS S3, and Python services.

About the Role

We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.

This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.

As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.

This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.

Key Responsibilities

Customer Discovery & Solutioning

• Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
• Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
• Translate business requirements into high-level cloud and AI solution architectures.
• Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.

Cloud Transformation Consulting

• Support customer initiatives across:
• Cloud Migration
• Application Modernization
• DevOps Transformation
• Managed Services
• Security & Compliance
• Resilience & Disaster Recovery
• Conduct cloud assessments and migration readiness evaluations.
• Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
• Leverage AWS programs and frameworks such as:
• Migration Acceleration Program (MAP)
• AWS Well-Architected Framework (WAFR)
• Foundational Technical Review (FTR)

AI & GenAI Solution Consulting

• Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
• Participate in AI discovery workshops and business value discussions.
• Support solution design for AI-powered applications leveraging AWS AI services.
• Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
• Assist customers in identifying suitable use cases for:
• Generative AI
• AI Assistants
• Knowledge Management Solutions
• Intelligent Automation
• Conversational AI

Proposal Development & Technical Presales

• Collaborate with Solution Architects to create:
• Technical Proposals
• Architecture Diagrams
• Effort Estimates
• Statements of Work (SOWs)
• Technical Responses to RFPs/RFIs
• Present solutions, recommendations, and technical approaches to customer stakeholders.
• Support Proof of Concepts (PoCs), demonstrations, and technical validations.
• Participate in technical reviews and solution walkthroughs.

Customer Engagement & Thought Leadership

• Attend customer meetings jointly with Sales teams to provide technical expertise.
• Build credibility and trust with customer technical and business stakeholders.
• Contribute to webinars, workshops, technical presentations, and customer-facing events.
• Write blogs, case studies, solution briefs, and technical content that supports business growth.
• Maintain an active presence in cloud and AI communities.

Collaboration & Knowledge Management

• Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
• Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
• Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
• Contribute to internal capability building and knowledge-sharing initiatives.

Travel & Customer Interaction

• Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
• Represent Comprinno professionally during all customer-facing interactions.

Required Qualifications & Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
• Strong understanding of AWS cloud services across:
• Compute
• Networking
• Storage
• Security
• Databases
• Knowledge of cloud migration and modernization frameworks such as AWS MAP.
• Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
• Understanding of:
• Kubernetes
• Containerization
• Cloud-Native Architectures
• DevOps Practices
• Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
• Ability to create:
• Solution Documents
• Architecture Diagrams
• Technical Proposals
• Effort Estimates
• Statements of Work
• Understanding of Generative AI concepts including:
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Assistants
• Agentic AI Concepts
• Familiarity with AWS AI services such as:
• Amazon Bedrock
• Amazon SageMaker
• Amazon Q
• AWS Solutions Architect – Professional Certification.
• Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
• Familiarity with AI frameworks such as:
• LangChain
• LangGraph
• CrewAI
• OpenAI APIs
• Anthropic APIs
• Strong communication, presentation, and stakeholder management skills.
• Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
• Experience contributing to webinars, blogs, case studies, or technical marketing content.
• AWS Solutions Architect – Associate Certification (Mandatory).
• Customer-centric mindset with strong problem-solving abilities.

Desired Qualifications & Skills

• AWS Specialty Certifications such as:
• Security Specialty
• Advanced Networking Specialty
• Machine Learning Specialty
• DevOps Engineer Professional
• Understanding of compliance frameworks such as:
• ISO 27001
• SOC 2
• HIPAA
• MBA or equivalent business qualification.
• Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.

What We're Looking For

• Strong consulting mindset with the ability to understand customer business challenges.
• Excellent communication and presentation skills.
• Ability to balance technical depth with business value articulation.
• Passion for cloud technologies, AI, and emerging innovation.
• Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
• High ownership and accountability.
• Curiosity and continuous learning mindset.
• Willingness to travel and work from customer locations across India and internationally as required by project engagements.

What Success Looks Like

• Consistently contributes to qualified pipeline creation and deal progression.
• Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
• Builds credibility with customers through strong technical consulting and solution design.
• Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
• Develops reusable presales assets, assessment frameworks, and solution accelerators.
• Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
• Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.

Why Join Comprinno

• Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
• Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
• Collaborate directly with enterprise customers and influence strategic technology decisions.
• Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
• Contribute to innovative solutions including Tevico and future AI-powered offerings.
• Build thought leadership through webinars, blogs, events, and community participation.
• Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.