DevOps Engineer-SDE III

Site Reliability Engineer

Experience - 4 - 8 Years

Location - Bangalore (Hybrid) 

We are seeking a highly skilled Site Reliability Engineer (SRE) to design, build, and operate scalable, reliable, and secure cloud-native platforms. The ideal candidate will have strong experience with Kubernetes ecosystems, cloud infrastructure, automation, observability, and GitOps practices.

Key Responsibilities

• Manage and optimize Kubernetes-based platforms, including Cilium, Istio, Ingress Controllers, and related ecosystem components.
• Design, deploy, and maintain infrastructure on Google Cloud Platform (GCP).
• Automate infrastructure provisioning and lifecycle management using Terraform.
• Implement and manage GitOps workflows using ArgoCD and GitLab.
• Deploy and maintain Helm charts for Kubernetes applications.
• Manage secrets, service discovery, and distributed systems using Vault and Consul.
• Build and maintain monitoring, logging, and observability platforms using Prometheus Operator and the Grafana Stack (Grafana, Mimir, Loki, Alloy, Tempo, and Pyroscope).
• Collaborate with development teams to improve platform reliability, performance, scalability, and operational excellence.
• Develop CI/CD pipelines and automation to support modern cloud-native deployments.

Required Skills

• Strong hands-on experience with Kubernetes (K8s) and cloud-native technologies.
• Experience with GCP, Terraform, Helm, and ArgoCD.
• Knowledge of Service Mesh technologies, particularly Istio and Cilium.
• Experience with Vault, Consul, and infrastructure security best practices.
• Strong expertise in observability tools including Prometheus and the Grafana ecosystem.
• Proficiency with GitOps, GitLab, CI/CD pipelines, and automation.
• Good understanding of Linux systems, networking, and troubleshooting in distributed environments.

Preferred Qualifications

• Experience operating large-scale production environments.
• Knowledge of SRE principles, incident management, capacity planning, and reliability engineering.
• Relevant cloud-native certifications (CKA, GCP, Terraform, etc.) are a plus.

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

JOB DETAILS:

* Job Title: Specialist I - DevOps Engineering

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 7-10 years

* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram

Job Description

Job Summary:

As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.

The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.

Key Responsibilities:

• Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
• Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
• Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
• Define migration scope — determine how much history to migrate and plan the repository structure.
• Manage branch renaming and repository organization for optimized post-migration workflows.
• Collaborate with development teams to determine migration points and finalize migration strategies.
• Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.

Required Qualifications:

• Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
• Hands-on experience with P4-Fusion.
• Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
• Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
• Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
• Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
• Familiarity with CI/CD pipeline integration to validate workflows post-migration.
• Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
• Excellent communication and collaboration skills for cross-team coordination and migration planning.
• Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.

Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools

Must-Haves

Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Senior Software Engineer I - DevOps Engineer

Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Senior Software Engineer within the Release Engineering team at Sumo Logic, your task will be to develop and sustain automated tooling for the release processes of all our services. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services. Your role is integral to our overarching strategy of enhancing software delivery and progressing Sumo Logic’s internal Platform-as-a-Service.

What you will do:

• Own the Delivery pipeline and release automation framework for all Sumo services

• Educate and collaborate with teams during both design and development phases to ensure best practices.

• Mentor a team of Engineers (Junior to Senior) and improve software development processes.

• Evaluate, test, and provide technology and design recommendations to executives.

• Write detailed design documents and documentation on system design and implementation.

• Ensuring the engineering teams are set up to deliver quality software quickly and reliably.

• Enhance and maintain infrastructure and tooling for development, testing and debugging

What you already have

• B.S. or M.S. Computer Sciences or related discipline

• Ability to influence: Understand people’s values and motivations and influence them towards making good architectural choices.

• Collaborative working style: You can work with other engineers to come up with good decisions.

• Bias towards action: You need to make things happen. It is essential you don’t become an inhibitor of progress, but an enabler.

• Flexibility: You are willing to learn and change. Admit past approaches might not be the right ones now.

Technical skills:

• 4+ years of experience in the design, development, and use of release automation tooling, DevOps, CI/CD, etc.
• 2+ years of experience in software development in Java/Scala/Golang or similar
• 3+ years of experience on software delivery technologies like jenkins including experience writing and developing CI/CD pipelines and knowledge of build tools like make/gradle/npm etc.
• Experience with cloud technologies, such as AWS/Azure/GCP
• Experience with Infrastructure-as-Code and tools such as Terraform
• Experience with scripting languages such as Groovy, Python, Bash etc.
• Knowledge of monitoring tools such as Prometheus/Grafana or similar tools
• Understanding of GitOps and ArgoCD concepts/workflows
• Understanding of security and compliance aspects of DevSecOps

About Us

Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

• Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
• Automate the provisioning of environments
• Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
• Manage a Continuous Integration and Deployment environment.
• Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
• Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.

Technical Skills

• Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
• Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
• Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
• Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
• Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).

Qualifications:

• B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
• Minimum 60% in Graduation and Post-Graduation.
• Good verbal and written communication skills