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Job description
Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Deposits team of Consumer & Community Banking Division, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Lead Live Site Management and cloud production management practices, including production readiness, change governance, incident response, problem management, and operational risk reduction.
Define and improve SRE practices, including service-level indicators, service-level objectives, error budgets, capacity planning, and reliability engineering and Advance observability across applications and infrastructure through effective logging, metrics, distributed tracing, dashboards, alerting, and automated anomaly detection and Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation.
Shape the end-to-end AWS cloud architecture strategy across all product components ; Strengthen cloud cost strategy and optimization across the product.
Advance the resiliency strategy, including multi-region, active-active, failover/failback, and disaster recovery.
Evolve the automation and infrastructure-as-code strategy ; Mature AI integration across engineering and product workflows.
Raise the bar on shared architectural standards and decision-making across teams ; Sharpen how complex technical strategy is distilled into leadership-facing narratives and Establish production health, availability, performance, and resiliency measures that provide actionable insight to engineering and business leadership
Drive major incident response, root-cause analysis, corrective actions, and the systematic elimination of recurring production issues.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
A. Formal training or certification on software engineering concepts and 5+ years applied experience
Production engineering roles spanning AWS platform engineering, SRE/operations, and software development, with leadership ownership of critical services.
Deep hands-on experience with AWS ECS and EC2 in production: architecture, deployments, scaling, capacity management, AMI strategy, patching, and performance tuning.
Expert-level AWS networking & security: VPC architecture, routing, Security Groups/NACLs, ALB/NLB, DNS/TLS, IAM least privilege (incl. role design, boundaries/guardrails where applicable).
Strong Infrastructure as Code (IaC) expertise (Terraform , CloudFormation/CDK ): reusable module design, environment promotion, state management, drift detection, and safe rollout patterns.
Strong SRE leadership: defines SLIs/SLOs, sets alerting standards, applies error budgets, drives reliability roadmaps, and balances reliability vs delivery with stakeholders.
Advanced observability and incident response using Dynatrace, Splunk, and Grafana: tracing and service flow analysis, log search/correlation (SPL), dashboard/alert tuning, and measurable MTTR reduction.
leads complex incident triage, performs RCAs, authors blameless postmortems, and ensures corrective actions land via engineering changes and Demonstrated software engineering + code-commit capability: designs/implements automation and platform tooling, enforces code quality/testing, and sets strong code review practices for the team.
Experience establishing production readiness standards, operational controls, runbooks, dashboards, and measurable service health objectives.
Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Preferred qualifications, capabilities, and skills
LLMOps / bot operations: evaluation harnesses, regression testing for prompts, rollout strategies, monitoring (quality + latency + cost), and incident handling for bot services.
Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (46% of 1077 that say).
Hiring most for IT Jobs in Hyderabad
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Jobs asking for AWS in Hyderabad also ask for
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From live job posts on CoreHRx, updated 6 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
Questions about this job
What is the salary for this Lead Software Engineer - AWS SRE job?
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹9.5L – ₹22L a year (typical for IT Jobs in Hyderabad, 73 posts).
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
Questions you may be asked
What is the difference between an AWS Region and an Availability Zone?
Explain the AWS shared responsibility model.
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