{"id":3094216,"url":"https://alion.io/job/edelweiss-financial-services-devops-engineer","title":"DevOps Engineer","company":{"id":2652698,"name":"Edelweiss Financial Services","domain":"edelweissfin.com","url":"https://alion.io/company/edelweiss-financial-services","size_band":null,"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":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India","Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"AWS","optional":false},{"name":"Boto3","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"NumPy","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-22T15:35:30Z","employer_posted_date":null,"last_verified_at":"2026-10-22T15:35:30Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are seeking a highly motivated and talented DevOps professional to join our team as a Cloud and Data Platform Engineer. In this role, you will work alongside traders, software developers, and quantitative analysts to build, optimise, and maintain the high-performance cloud infrastructure that powers our proprietary trading models. This position is critical for ensuring our trading systems operate with maximum reliability, minimal latency, and optimal cost efficiency in the fast- paced high-frequency trading environment. You will gain hands-on experience implementing and managing sophisticated cloud architectures that support algorithmic trading strategies, while continuously optimising infrastructure costs and performance to maintain our competitive edge in the market\n\nResponsibilities: \nImplement spot instance fleet management with sophisticated fallback mechanisms to ensure trading continuity and data integrity.\nDevelop comprehensive cost monitoring systems with automated alerting for budget thresholds while maintaining performance requirements for trading operations.\nCreate and manage high-performance database interfaces and query optimisation systems for market data processing.\nBuild real-time monitoring and visualisation dashboards to provide actionable insights for trading operations.\nDesign and implement highly available, low-latency cloud architecture optimised for algorithmic and high-frequency trading systems.\n\nRequirements: \nExperience in financial services or trading firms.\nKnowledge of market data infrastructure requirements.\nFamiliarity with algorithmic trading systems and their infrastructure needs.\nUnderstanding of low-latency networking principles.\nExperience with GPU optimisation for financial modelling.\nExperience: 4+ years.\n\nCloud Infrastructure and Cost Optimisation: \n3+ years managing production AWS/GCP infrastructure with demonstrated cost optimisation in high-performance environments.\nAdvanced experience with EC2 spot instances/GCP preemptible VMs including: Implementation of spot fleet management with automatic bidding strategies for non-critical workloads, Development of instance interruption handlers and workload migration systems with minimal downtime, Creation of hybrid spot/on-demand architectures to balance cost and performance for trading systems.\nExpertise in AWS savings plans, reserved instances, and commitment utilisation optimisation.\nExperience implementing AWS Graviton/ARM instances for cost-performance optimisation.\nProficiency with storage tiering strategies for market data archival and retrieval.\n\nProgramming and Automation: \nStrong Python development skills including:\nDevelopment with boto3/GCP Python client libraries.\nExperience with pandas/numpy for financial data processing.\nAutomation using Python for market data ETL workflows.\nAdvanced Bash scripting for system automation, including:\nResource monitoring and auto-remediation scripts.\nCustom log parsing for trading system analytics.\nError handling and recovery procedures for trading infrastructure.\n\nDatabase and Data Management\nExperience administering and optimising:\nTime-series databases for market data storage.\nPostgreSQL/MySQL with query optimisation for trading applications.\nNoSQL databases with sharding configurations for high-throughput environments.\nKnowledge of database interface optimisation techniques for low-latency trading operations.\n\nMonitoring and Visualisation: \nAdvanced Grafana implementation for real-time trading system monitoring.\nExperience with Prometheus for metrics collection in high- frequency environments.\nProficiency with ELK stack for log analysis and trading system diagnostics.\n\nContainerization and Orchestration: \nDocker expertise including multi-stage builds and image optimisation for trading applications.\nKubernetes experience with a focus on resource optimisation and low-latency configurations.\n\nBehavioural Competencies: \nHigh work ethic, curiosity, and a desire to innovate and excel in a competitive field.\nAbility to multitask and handle multiple projects simultaneously.\nStrong communication skills and the ability to work effectively in a fast-paced environment.\nAbility to think out of the box.\nCuriosity and a passion for markets and developing new patterns and alphas.\nSkills\nAWS, DevOps, DevOps Engineer, Docker, GCP, Kubernetes, Python, algorithmic trading, financial services, low-latency, market data, 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now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":23,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/edelweiss-financial-services-devops-engineer","json_url":"https://alion.io/job/edelweiss-financial-services-devops-engineer.json","meta":{"generated_at":"2026-10-24T19:16:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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