{"id":2337949,"url":"https://alion.io/job/qaagility-technologies-senior-platform-engineer","title":"Senior Platform Engineer","company":{"id":3806526,"name":"QAAgility Technologies","domain":"qaagility.com","url":"https://alion.io/company/qaagility-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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Engineering","optional":false},{"name":"Python","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Azure","optional":true},{"name":"Flink","optional":true}],"status":"live","first_seen_at":"2026-10-12T10:09:54Z","employer_posted_date":null,"last_verified_at":"2026-10-12T10:09:54Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Designation : Senior Platform Engineer.\n\nExperience : 15+ years.\n\nWork mode : Hybrid (2 Days).\n\nMandatory skills : Kafka platform, Git hub Devops, Azure Devops, Terraform, Go/ Python, Dockers, Kubernetes.\n\nAbout the role :\n\nWe are seeking a Senior Platform Engineer to join the Global Integration team's Kafka Platform team.\n\nYou will help build, operate, and improve an enterprise integration platform, delivering platform features and operational improvements that strengthen reliability, performance, scalability, and adoption.\n\nThis is a hands-on engineering role for someone experienced in continuous product or platform engineering.\n\nYou will develop platform tooling and automation, manage cloud infrastructure, improve deployment and operations, and work closely with engineering teams and stakeholders.\n\nYou will also share knowledge, mentor colleagues, and promote consistent platform engineering practices.\n\nKey responsibilities :\n\n- Develop, operate, and continuously improve the KaaS platform, with a focus on high availability, performance, scalability, and long-term reliability.\n\n- Build and maintain platform tooling and automation using Go and/or Python.\n\n- Design and maintain infrastructure as code using Terraform, including reusable, well-structured modules.\n\n- Build and support CI/CD workflows using GitHub DevOps and Azure DevOps.\n\n- Deploy and manage services using Docker, Kubernetes, Argo CD, and Helm.\n\n- Work with AWS services, including S3, DynamoDB, IAM, and Lambda, to support platform integrations and reliable resource configurations.\n\n- Apply platform DevOps and reliability practices, using metrics, monitoring, and troubleshooting to improve service health.\n\n- Use Splunk and Grafana to monitor platform behavior, investigate issues, and communicate operational insights.\n\n- Diagnose complex infrastructure, deployment, and distributed-systems issues, and implement durable fixes.\n\n- Collaborate in an Agile team, contribute to code reviews, mentor other engineers, and promote platform adoption and engineering best practices.\n\nRequired qualifications :\n\n- 10+ years of relevant software, platform, or DevOps engineering experience; experience at the 15+ year level is preferred.\n\n- Extensive hands-on experience with GitHub DevOps framework and CI/CD workflows.\n\n- Azure DevOps, including pipeline development and maintenance.\n\n- Proficient in Terraform and infrastructure as code, including building, structuring, and optimizing reusable solutions.\n\n- Practical programming experience in Go or Python, with sound software engineering fundamentals.\n\n- Hands-on experience with Docker and Kubernetes, including familiarity with core Kubernetes components and production operations.\n\n- Experience with AWS, particularly S3, DynamoDB, and IAM; familiarity with Lambda and service integrations.\n\n- Experience with platform engineering or DevOps practices focused on operating and improving services over time.\n\n- Familiarity with observability and troubleshooting using Splunk and Grafana.\n\n- Strong communication and collaboration skills, with the ability to work independently, mentor others, and manage competing priorities.\n\n- Based in or near Bengaluru and able to follow the team's hybrid model, including 2 days per week in the office.\n\nGood to have :\n\n- Experience with enterprise integrations and Kafka, including topics, partitions, schemas, and architecture.\n\n- Experience with Confluent Cloud, Kafka connectors, or Flink.\n\n- Familiarity with distributed systems and microservices architecture.\n\n- Experience promoting platform adoption and shared engineering standards across teams.\n\nAdditional Requirements :\n\n- Proactive problem-solving skills with the ability to troubleshoot complex issues effectively.\n\n- Strong commitment to continuous learning and an aptitude for adopting new technologies and methodologies.\n\n- Ability to successfully manage multiple priorities in a fast-paced environment.\n\n- Experience in code reviews, mentoring junior developers, and sharing knowledge within the team.\n\n- Familiarity with distributed systems and microservices architecture is a plus.\nSkills\nKafka, IAC Terraform, CI/CD, Docker, Kubernetes, AWS, AWS Lambda, Grafana, 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