{"id":1227364,"url":"https://alion.io/job/waisl-limited-senior-site-reliability-engineer","title":"Senior Site Reliability Engineer","company":{"id":3800668,"name":"WAISL LIMITED","domain":"waisldigital.com","url":"https://alion.io/company/waisl-limited","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":43},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Machine Learning","optional":true},{"name":"Snowflake","optional":true},{"name":"VPN","optional":true}],"status":"live","first_seen_at":"2026-09-24T11:46:30Z","employer_posted_date":null,"last_verified_at":"2026-09-24T11:46:30Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"Job Description : \n\nKey Responsibilities : \n\nInfrastructure Design Automation : \n\n- Architect and maintain hybrid and on-premises environments for compute and storage workloads.\n\n- Deploy and manage containerized microservices using Kubernetes (on-prem and cloud).\n\n- Automate infrastructure provisioning using Terraform, Ansible, or similar tools.\n\n- Configure and scale distributed data streaming and storage platforms (e.g. : Kafka clusters, Apache Spark, and data lake/warehouse).\n\nScalability Performance : \n\n- Design for elastic scaling, load balancing, and resource isolation for data services and APIs.\n\nSecurity Governance : \n\n- Secure hybrid deployments with VPNs, firewalls, and identity management.\n\n- Implement data access controls, audit trails, and encryption across services and storage layers.\n\n- Manage secrets securely across environments.\n\nMonitoring, Logging Resilience : \n\n- Set up observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) for real-time insight.\n\nCI/CD Operations : \n\n- Build pipelines to deploy services, data jobs, and configuration changes to hybrid infra.\n\n- Maintain and enhance CI/CD pipelines for zero-downtime deployments and rollbacks.\n\n- Support SRE practices including incident management, post-mortems, and runbook creation.\n\nRequired Skills : \n\n- Bachelor's or Master's in Computer Science, Engineering, or related field.\n\n- 8+ years in DevOps and SRE roles.\n\n- Strong experience with hybrid and on-prem Kubernetes deployments.\n\n- Proficiency in infrastructure automation (Terraform, Ansible, Helm).\n\n- Experience with data processing and microservices orchestration, supporting real-time data platforms in hybrid or on-premises environments.\n\n- Solid understanding of networking, storage, firewalls, and security for hybrid deployments.\n\n- Programming/scripting experience with Bash, Python, or Go.\n\n- Strong grasp of DevOps best practices, observability, and system reliability engineering.\n\nGood to Have : \n\n- Experience with data lake/warehouse platforms (HDFS, S3-compatible storage, Redshift, Snowflake).\n\n- Knowledge of event-driven architectures, ETL/ELT pipelines, and data mesh concepts.\n\n- Exposure to machine learning operations (MLOps) or data science workflows.\n\n- Certifications in Kubernetes, cloud platforms, or security are a plus.\n\nRole : Site Reliability Engineer\n\nIndustry Type : Investment Banking / Venture Capital / Private Equity\n\nDepartment : Engineering - 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