Member of Technical Staff: Software Developer for SRE Team

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Company Overview:

Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.

Responsibilities

• Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
• Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
• Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
• Automate configuration and deployment tasks using Python (Ansible a plus).
• Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
• Write Shell and Python scripts to automate operations and reduce manual work.
• Manage Git workflows — branching, merge strategies, and pull request reviews.
• Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
• Troubleshoot deployment, performance, and infrastructure issues with development teams.
• Participate in on-call rotations and drive incident response.
• Continuously improve infrastructure resilience and deployment speed.
• Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.

Qualifications

Must-Have Skills

• Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
• OS: Linux & Windows administration (systemd, package management, log analysis).
• Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
• Source Control: Git — branching, merge/rebase, PR reviews.
• CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
• Containerization (Docker + ECS): Task definitions, services, and clusters.
• IaC: Terraform.
• Monitoring: New Relic.
• Scripting: Bash and Python scripting for automation.
• Networking Basics: DNS, load balancers, security groups, VPNs.
• Logging: ELK stack / CloudWatch Logs.
• Database: MSSQL administration — backups, restores, basic performance troubleshooting.
• Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
• AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.

Nice-to-Have Skills

•     Configuration Management: Ansible.

•     Additional IaC: CloudFormation.

•     Architecture: Knowledge of microservices architecture.

•     Cloudflare: DNS, CDN, WAF.

•     Artifact Repositories: Nexus, JFrog Artifactory, ECR.

•     Other CI/CD Tools: GitHub Actions.

•     AWS cost optimization / FinOps awareness.

•     Datadog, CloudWatch, or Prometheus/Grafana.

•     AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).

•     Database Basics: RDS backups, restores, performance tuning.

Site Reliability Engineer (SRE) / DevOps Engineer (Walk-In Drive)

Location: Gurgaon Experience: 3–6 Years

About the Role

We are looking for a hands-on Site Reliability Engineer (SRE) / DevOps Engineer with strong programming and automation skills.

The role will initially involve development and automation work, helping the engineer build a strong understanding of the applications and platform. Over time, the role will expand into broader DevOps and SRE responsibilities, including CI/CD, cloud infrastructure, observability, production reliability, incident management, and operational automation.

The ideal candidate should be comfortable working with both application code and production systems and should use engineering and automation to improve reliability and reduce manual effort.

Key Responsibilities

· Develop and enhance internal applications, automation tools, APIs, utilities, and platform capabilities using Python.

· Write clean, maintainable, testable, and production-ready code.

· Participate in code reviews, debugging, testing, and technical discussions.

· Build, maintain, and improve CI/CD pipelines and automated deployment processes.

· Work with Docker and Kubernetes for application deployment and operations.

· Support on prem and cloud-based application and infrastructure deployments.

· Maintain reliable, scalable, secure, and highly available production environments.

· Implement and manage monitoring, logging, alerting, and observability solutions.

· Contribute to defining and tracking SLIs, SLOs, and error budgets.

· Troubleshoot application and production issues and perform Root Cause Analysis (RCA).

· Identify recurring operational problems and address them through automation and engineering improvements.

· Support incident response, change management, deployment governance, and disaster recovery practices.

· Maintain runbooks, SOPs, incident documentation, and technical documentation.

· Collaborate with Engineering, Product, Platform, Security, Operations, and external teams.

Technical Skills

· Strong hands-on experience with Python for development and automation.

· Experience developing scripts, APIs, integrations, utilities, or backend services.

· Good understanding of software engineering principles, debugging, logging, testing, and exception handling.

· Experience with REST APIs, JSON, Git, pull requests, and code reviews.

· Strong knowledge of Linux/Unix environments and basic Windows administration.

· Good understanding of networking concepts including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.

· Experience with at least one cloud platform: AWS, Azure, or GCP.

· Hands-on experience with Docker and Kubernetes.

· Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or equivalent.

· Familiarity with Infrastructure-as-Code tools such as Terraform is preferred.

· Experience with monitoring and observability tools such as Grafana, Prometheus, Power BI, or equivalent.

· Ability to analyze logs, metrics, alerts, and traces for troubleshooting.

· Understanding of SRE concepts including SLIs, SLOs, availability, reliability, error budgets, and RCA.

· Experience with JIRA, ServiceNow, and Confluence is desirable.

Preferred Experience

· 3–6 years of experience in SRE, DevOps, Platform Engineering, Cloud Engineering, or related roles.

· Strong Python development or automation experience.

· Experience supporting applications across development, deployment, and production environments.

· Exposure to cloud-native, distributed, or production-grade systems.

· Understanding of security and compliance best practices.

· Familiarity with AI-assisted engineering tools such as GitHub Copilot, Claude Code, or similar tools.

Soft Skills

· Strong analytical and troubleshooting skills.

· Engineering and automation mindset.

· Good written and verbal communication skills.

· Effective cross-functional collaboration.

· Ownership-driven approach to problem solving.

· Ability to remain structured during production incidents.

Key Responsibilities

• Automate application deployments from Bitbucket to servers using CI/CD pipelines.
• Design and manage scalable, highly available AWS infrastructure.
• Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
• Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
• Build and manage Docker containers and server images.
• Deploy and manage applications using Kubernetes.
• Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
• Develop automation scripts using Python and Bash.
• Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
• Integrate security and compliance practices into CI/CD pipelines.
• Optimize infrastructure for security, scalability, performance, and cost.

Required Skills

• 3+ years of experience in DevOps or a similar role.
• Strong knowledge of AWS beyond EC2.
• Hands-on experience with Jenkins or similar CI/CD tools.
• Experience with Docker and Kubernetes.
• Good understanding of Terraform/IaC and automation.
• Proficiency in Python and/or Bash scripting.
• Knowledge of DevSecOps, security, and compliance best practices.
• Strong troubleshooting and problem-solving skills.

We are seeking a highly skilled and experienced DevOps Engineer to join our development team.

Years of experience needed: 8+ Yrs

Required Skills

Strong experience with GitLab, TeamCity, Terraform, Kubernetes and Docker

Proficiency in various deployment strategies and CI/CD pipeline setups

Solid understanding of Linux administration and Windows IIS.

Advanced scripting skills in bash and PowerShell

Hands-on experience with Google Cloud Platform (GCP) services, particularly GKE, GCS, GCE, Cloud SQL, and load balancers

Familiarity with Autosys for job scheduling and automation

Excellent problem-solving and troubleshooting skills

Ability to work independently and collaboratively in a fast-paced environment

• • Strong communication and interpersonal skills.

Strong Python Developer profile with robust AWS exposure

2

Mandatory (Experience 1): Must have 7+ years of hands-on software development experience with at least the recent 4+ years in Python and strong hands on knowledge of AWS

3

Mandatory (Tech skill 1): Must have strong working knowledge of Python.

4

Mandatory (Tech skill 2): Must have good understanding of AWS services including EC2, S3, Lambda, IAM, CloudWatch, and ECS or ECR

5

Mandatory (Tech skill 3): Must be able to write and understand REST APIs

6

Mandatory (Tech skill 4): Must be comfortable with version control tools such as Git, GitHub, Bitbucket, or GitLab

7

Mandatory (Tech skill 5): Must have good understanding of databases such as PostgreSQL, MySQL, or DynamoDB

8

Mandatory (Tech skill 6): Must have familiarity with Linux commands and shell scripting

9

Mandatory (Skill): Must have good debugging and problem-solving skills, with the ability to read existing code and make changes independently with light guidance

10

Mandatory (Skill 2): Must have strong communication skills

11

Preferred (Tech skill 1): Experience with AWS CodeCommit, and exposure to AWS CodeBuild, CodeDeploy, CodePipeline, GitHub Actions, Jenkins, or similar CI/CD tools

12

Preferred (Tech skill 2): Basic understanding of CI/CD pipelines

13

Preferred (Tech skill 3): Experience with Docker or container-based applications

14

Preferred (Tech skill 4): Basic knowledge of infrastructure-as-code tools such as Terraform or AWS CloudFormation

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

You will be part of the DevOps engineers' team, managing large customer deployments including Linux and Windows Administration, Large Enterprise Application, and Big Data Workloads. You will have broad business and technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. You will help us build scalable, efficient cloud infrastructure.

You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.  If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Application migration projects from on-premises to AWS.
• Database (RDBMS, NoSQL, DW, Hadoop) migration projects from on-premises to AWS. 
• Automate operational and server provisioning workflows using AWS CFT on AWS.
• Share the responsibility for deploying releases and conducting other operations maintenance.
• Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
• Provide operational support for the rest of the Engineering team.
• Help migrate our remaining dedicated hardware infrastructure to the cloud.
• Establish and maintain operational best practices.

What do you have?

• 2+ years of experience in using Terraform for IaaC.
• 2+ years of configuration management and engineering for large scale customers, ideally supporting an Agile development process.
• 2+ years of Linux Administration experience.
• Deep understanding of version control systems (git), including branching and merging strategies.
• Experience working with cloud platforms (AWS/EC2/ ECS/ RDS/ CloudFormation, Cloudwatch, etc.) and cloud automation tools (Ansible, Chef).
• Experience with software build tools (Maven, Gradle) and continuous integration tools (Jenkins).
• Must have supported Java-based applications in a production environment.
• Experience with Linux environments and scripting languages - bash, python, Groovy.
• Experience in supporting Node.js in production is a plus.
• Knowledge of service discovery tools such as Consul is a plus.
• Comfortable working late evening hours, which is when most patching occurs.
• You are extremely proactive at identifying ways to improve things and make them more reliable.

You will be preferred if

• You are AWS DevOps Pro or AWS SA Pro Certified

Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.

What you'll do:

• Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
• Containerize apps with Docker, deploy on Kubernetes clusters
• Manage infrastructure as code (Terraform, CloudFormation)
• Set up monitoring (Prometheus, Grafana, ELK Stack)
• Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
• Optimize costs and performance for live production systems

What we need:

• Basic Python/Bash scripting
• Docker basics, Git workflows
• Cloud exposure (AWS/GCP/Azure free tier projects)
• Problem-solving mindset, eagerness to learn

Real impact:

• Deploy apps used by 1000+ daily users
• Work with senior DevOps engineers on client deliverables
• Build portfolio for FAANG-level interviews

2–4 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Strong analytical and debugging skills with the ability to solve complex problems.

The Opportunity 

We are building the next generation of engineers at AvancerPI. You will work on real enterprise products and automation rather than isolated training assignments. Depending on your strengths, you may contribute to frontend, backend, APIs, automation, integrations, cloud-native engineering or AI-assisted capabilities. 

What You’ll Work On 

• Modern web applications and customer-facing product experiences. 
• Backend services and REST APIs. 
• Python-based automation and platform integrations. 
• Databases, data models and application state. 
• Terraform and Ansible based infrastructure automation. 
• Containers and Kubernetes-based applications. 
• Integration with enterprise infrastructure and cloud APIs. 
• AI/LLM, RAG and agentic workflows where they solve a real product or operational problem. 
• Testing, debugging, Git workflows and CI/CD. 
• Product features used by enterprise customers and internal engineering teams. 

What We’re Looking For 

• BE/BTech/MCA or equivalent technical education. 
• Strong programming fundamentals and problem-solving ability. 
• Working knowledge of at least one language such as Python, JavaScript/TypeScript, Java or similar. 
• Basic understanding of APIs, databases, Git and Linux. 
• Curiosity about cloud, infrastructure, automation, Kubernetes and AI. 
• Ability to learn unfamiliar technologies independently and ask good technical questions. 
• Evidence that you build things: academic projects, GitHub work, internships, hackathons or personal projects. 

What Matters More Than a Long Skills List 

Fundamentals + curiosity + learning speed + ownership + ability to turn an idea into working software. 

What You Can Expect to Learn 

• How enterprise products are designed, built, tested and released. 
• How software interacts with infrastructure, cloud and Kubernetes platforms. 
• How to write maintainable code and participate in design/code reviews. 
• How customer problems become product requirements and engineering decisions. 

For more information about the company, you can visit our website: https://avancerpi.com/about/