Github Software Engineer Salary Jobs Remote Jobs in Usa

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• Design and build internal tools and automation-including API linting frameworks, OpenAPI specification validators, code?generation utilities, and workflow automation-to improve consistency, quality, and efficiency across the API lifecycle.
  
• Ensure developer experience is at the center of all software created, building intuitive, reliable, and friction?reducing tools that empower API producers and consumers and simplify their workflows.
  
• Collaborate, coordinate, and align with technical stakeholders such as architecture, platform engineering, security, and API governance teams to ensure tooling meets enterprise needs and integrates seamlessly with broader technical ecosystems.
  
• Apply industry best practices to deliver secure, scalable, and maintainable solutions that align with clients engineering, security, and compliance standards.
  
• Drive development activities from design through delivery, ensuring tools and services are released on time and effectively support both API producers and consumers.
  
• Champion code quality, implementing comprehensive unit testing, functional testing, and automated validation to ensure highly reliable solutions and fast feedback loops.
  
• Demonstrate engineering excellence, consistently applying high?quality engineering practices-including clean code principles, strong testing strategies (unit, integration, functional), CI/CD pipeline integration, versioning discipline, and reliable automated deployment strategies-to ensure tooling is robust, maintainable, and production?ready.
  
• Ensure all software created adheres to strong security principles, including secure coding practices, automated security scanning, vulnerability mitigation, and alignment with enterprise security standards-ensuring tooling is safe by design, safe by default, and safe in production.
  
• Support the tech lead in evaluating and shaping technical decisions, contributing insights and execution capabilities related to tooling, automation, and developer?experience improvements.
  

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• Programming & Scripting: Java | Python | JavaScript | TypeScript, Bash / Shell Scripting
  
• API Design & Management: RESTful APIs, OpenAPI / Swagger (Specification, Validation), API Linting Frameworks, API Governance & Standards Enforcement, API Versioning Strategies
  
• Automation & Tooling: Code Generation Utilities, Workflow Automation Tools, Internal Developer Tooling, CLI Tools
  
• Testing & Quality Engineering: Unit Testing | Integration Testing | Functional Testing, Automated Validation Frameworks, Test Automation Tools, Code Quality & Static Analysis Tools
  
• CI/CD & DevOps: CI/CD Pipelines (GitHub Actions, GitLab CI, Jenkins), Automated Build & Deployment Pipelines, Artifact Repositories, Infrastructure Automation
  
• Cloud & Platforms: Cloud Platforms (AWS / Azure / GCP), Containerization (Docker), Kubernetes (optional / platform-dependent)
  
• Security & Compliance: Secure Coding Practices, Automated Security Scanning (SAST / DAST), Vulnerability Management Tools, Dependency Scanning, Compliance & Enterprise Security Standards
  
• Developer Experience (DX): Developer Tooling & Enablement Platforms, Documentation Automation, API Consumer & Producer Enablement Tools
  
• Collaboration & Version Control: Git | GitHub | GitLab, Agile / Scrum Methodologies, Issue & Work Tracking Tools (Jira, similar)
  

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

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• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

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• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

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• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Product Security group ensures our platforms are secure by design and compliant with the world's most rigorous industry and government standards. As a Staff Product Security Engineer, you will serve as a technical architect of trust and the primary connective tissue between Security, Product, and Engineering teams. You will be responsible for translating complex global security requirements into actionable, automated engineering solutions, acting as the "go-to" expert for the Security Features team.

As a senior technical member of the team, you will exercise significant latitude in defining technical objectives and architectural approaches to complex challenges. Leveraging a deep understanding of distributed systems and cloud-native platforms, you will lead high-impact, security-driven initiatives across the entire Cloudera product suite.

As a Staff Software Engineer, you will:

• Architect and maintain advanced build tooling to automate and accelerate vulnerability remediation across all engineering pillars.

• Lead Proof of Concepts (POCs) and evaluate third-party security tools to enhance our security posture without compromising developer velocity.

• Design and develop core security features, including FIPS compliance, TLS/Encryption, Secrets Rotation, Identity & Access Management (IAM), and Certificate Management.

• Drive root-cause analysis and triage for complex, product-wide stability issues related to security infrastructure.

• Engineer specialized observability tools, such as encryption inventories, to audit and measure security standards during feature delivery.

• Author comprehensive design specifications and test plans for cross-component security features, providing technical clarity in the face of ambiguity.

• Elevate the team's technical bar through high-quality code reviews, documentation standards, and active mentorship of engineering talent.

• Partner across organizational lines, collaborating with internal stakeholders and senior management to resolve customer escalations and align with long-term objectives.

We're excited about you if you have (Required Qualifications):

• Bachelor's degree in Computer Science or a related field (or equivalent experience) with 6+ years of professional software engineering experience.

• Deep technical expertise in containerized environments, specifically Kubernetes (EKS) and Docker.

• Strong command of general-purpose and scripting languages, including Java, Python, Go, and Bash.

• Proven experience with Infrastructure-as-Code (IaC) tools such as Terraform and Helm to automate secure infrastructure rollouts.

• Expert-level experience automating complex CI/CD pipelines using platforms such as GitLab CI/CD, Jenkins, or GitHub Actions.

• Exceptional troubleshooting skills with a track record of identifying root causes for site outages and resolving P1 escalations.

You may also have (Preferred Qualifications):

• Experience with Post-Quantum Cryptography to support upcoming product transitions.

• Practical experience with FIPS 140-3, TLS 1.3, and modern encryption standards.

• Proven ability to automate CVE remediation and integrate SAST/DAST scanning tools-such as Trivy, Aquasec, Tenable, or Fortify-into developer workflows.

• Familiarity with government compliance frameworks and industry standards including FedRAMP, ISO 27001, and SOC 2.

• Deep understanding of secure coding practices and common vulnerabilities as outlined in the OWASP Top 10.

• Experience working with Identity and Access Management (IAM) or Identity Governance platforms.

• Strong management skills with a demonstrated ability to influence cross-functional teams and drive results in a remote environment.

This role is not eligible for immigration sponsorship

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

#LI-BV1

#LI-REMOTE

Job Title: SDET / QA Automation Engineer

Location: Mount Laurel- NJ

Duration: Long Term

Job Description:

Job Summary:

We are seeking a highly skilled and experienced SDET / QA Automation Engineer with 8 to 10 years of expertise in Python, JavaScript, and modern automation frameworks. This position involves developing automation solutions, microservices, and test scripts while validating end‑to‑end network components and their behavior. The candidate should have strong domain knowledge in networking and cable technologies, with the ability to collaborate effectively with clients and cross‑functional teams.

Key Responsibilities:

• Develop microservices using Python, NodeJS, and Golang as part of automation and service validations.
• Develop standalone Python/NodeJS scripts to simulate network traffic and validate performance across different endpoints.
• Create Proof of Concepts (POCs) based on client needs and actively participate in client demos and technical discussions.
• Lead the creation of test strategies and manage test environments with both physical and virtual device setups.
• Create comprehensive test scenarios and automated test scripts using MochaJS, ensuring robust coverage of functional, integration, and regression test cases.
• Design reusable test components, validate API and microservice behavior, and integrate MochaJS test suites into the existing automation framework to enhance reliability and execution efficiency.
• Collaborate with cross‑functional teams to refine requirements, improve test coverage, and ensure smooth integration with CI/CD pipelines.
• Gather requirements and perform detailed analysis for new automation scenarios and test case development.
• Support manual and automation testing across applications, devices, and servers as required.
• Ensure code quality using tools like SonarQube and adhere to strict QA standards.
• Provide technical guidance, troubleshooting support, and mentorship to team members on tasks and issues raised by the client.
• Maintain version control and branching strategies using GitHub, ensuring high code integrity and traceability.
• Monitor automation execution, analyze failures, and drive root‑cause investigations to improve overall product quality.
• Document technical workflows, automation processes, and test scenarios to ensure long-term maintainability and knowledge sharing.

Required Skills & Experience:

• 8-10 years of experience in QA/SDET automation roles.
• Strong programming knowledge with Python and JavaScript.
• Good hands-on experience with Go Lang and NodeJS.
• Hands-on experience with MochaJS for scripting and automated testing.
• Excellent knowledge with web technologies like REST, SOAP, XML and JSON
• Proficiency in API testing using Bruno/ Postman.
• Familiarity with GitHub for version control and Jira for project tracking.
• Excellent domain knowledge in Network and cable domain
• Should be familiar with IMS architecture and SIP protocols.
• Good problem-solving and debugging skills.

Should have good communication and client interaction skills.

Sr Software Engineer (Site Reliability Engineering)

Contract- 5+ months CTH possibility

Peachtree Dunwoody Atlanta GA Hybrid- 2 days in the office no relocation

Pay rate: 70/h W2 hourly

USC or GC holders only.

Skills

AWS broadly (EC2, but moving away and going to Fargate) ECS, code pipeline and build, deploy, RDS, Dynamo, WAP, CloudFront)

GitHub actions moving away from AWS code connect

Terraform (must) most of the day there, or CDK is a benefit but terraform the hard requirement

Terraform modules strong plus

Splunk, new relic, pager duty is great lot of alerting, dashboarding, capacity planning, running internal PaaS

Interview: 1st round with him, quick screen, overview on role, team structure, projects, high level tech questions, not coding more high-level systems design on the spectrum

Second round with tech leads: more systems design, potentially a live coding question things. Theu have an eye on people using AI to answer, culture ft as well.

Job Description:

This role is for an opening for a Senior Site Reliability Engineer (SRE) on the Manheim Logistics SRE team. The SRE team is tasked with designing and maintaining AWS infrastructure and deployment pipelines for Manheim Logistics' 15+ development teams. The team has currently standardized on a Docker-based infrastructure solution and is adding functionality to support new development team requests and architectural patterns (such as Lambda, Step Functions, Fargate, etc). The SRE team has a strong focus on IaC with Terraform and best practices such as least privilege access, proactive monitoring and alerting, etc. This role will work directly with a release train and help with IaC and SRE activites such as improving monitoring/alerting, defining an error budget, assisting with DevSecOps, etc.

As a Senior Site Reliability Engineer you will:

Strong automation experience- testing, deploying, monitoring, etc.

Take complex problems and come up with a technically reasonable solution

Experience working with and defining SLOs, error budgets, etc.

Have innate curiosity about how things work

Design and assist in the authoring of software tools that reliably manage application delivery & performance

Design and assist in the setup and maintenance of application monitoring and alerting

Engage with engineering teams to ensure best practices are implemented

Improve predictability and reliability of software releases, workflows, and operating software.

Reduce mean time to recovery (MTTR) by helping troubleshoot, monitor, alert, and automating recovery.

Qualifications:

Bachelor's degree in Computer Science or related field and at least 3-5 years working experience

Expertise in software development and architecture/solutioning experience

Strong background with Terraform

Experience with Amazon AWS technologies especially: ECS and Lambda

Experience with monitoring/observability tools such as: New Relic, Splunk, PagerDuty

Experience with agile development, continuous integration and automated testing

Solid written communication, problem solving, and process management skills

Preferred Skills:

Broad AWS platform skills including Cognito, WAF, Elasticache (Redis), Elasticsearch, SNS, SQS, S3, Systems Manager

Experience automating Terraform at scale

Experience with Database Server infrastructure (RDS, MySQL, Postgres, etc)

NET core development experience

GitHub Actions

Experience with Github, docker, and Linux adminstration experience

Pecan POS is seeking a skilled and detail-oriented QA Automation Engineer to join our growing engineering team. In this role, you will be responsible for designing, developing, and maintaining automated testing frameworks to ensure the reliability, performance, and scalability of our point-of-sale (POS) platform used by hospitality businesses.

You will collaborate closely with software engineers, product managers, and QA specialists to improve software quality, reduce regression risk, and support continuous integration and delivery. This is an excellent opportunity to contribute to a fast-paced environment where quality and innovation are critical to delivering reliable transaction systems.

• Design, develop, and maintain automated test frameworks for web and API testing

• Create and execute automated regression, integration, and end-to-end tests

• Collaborate with developers and product teams to define test strategies and acceptance criteria

• Identify, document, and track defects through resolution

• Integrate automated tests into CI/CD pipelines to support continuous delivery

• Perform API testing and validate system integrations

• Conduct root cause analysis and contribute to quality improvements

• Maintain test environments and test data for consistent automation execution

• Participate in code reviews and support quality engineering best practices

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

• 3+ years of experience in software testing and automation

• Strong experience with automation tools such as Selenium, Cypress, Playwright, or similar frameworks

• Experience with API testing tools such as Postman or RestAssured

• Familiarity with programming languages such as Java, Python, JavaScript, or C#

• Experience with SQL and database validation

• Understanding of Agile development and the software testing lifecycle

• Experience with version control systems such as Git

• Strong problem-solving and analytical skills

• Experience testing POS systems, fintech platforms, or payment processing systems

• Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI

• Familiarity with cloud environments (AWS, Azure, or GCP)

• Experience with performance testing tools such as JMeter or k6

• Fully remote work environment

• Competitive salary

• Opportunity to work on mission-critical transaction systems

• Collaborative engineering-focused culture

• Professional development and growth opportunities

Full Stack Engineer (AI / Defense)

Compensation: $150,000 – $230,000 + 0.1% – 0.5% Equity

AI Platform Modernizing Government Procurement

San Francisco, On-Site

About the Role:

We're working with a fast-growing defense and AI startup building the infrastructure layer for how governments buy technology. Their platform uses AI and large language models to analyze procurement data and help companies identify and win government contracts more efficiently.

The company already has strong traction with Fortune 500 companies, government agencies, and defense organizations.

They are now hiring Full Stack Engineers to help scale the platform. You'll work on transforming massive government datasets into actionable insights and building the interfaces customers use to identify and win opportunities.

What You'll Do:

• Build full-stack product features that help customers discover and interpret government procurement opportunities
• Develop scalable data pipelines that transform large public datasets into usable product insights
• Design intuitive user interfaces using React and Next.js
• Build backend services and data infrastructure using Python
• Develop AI-powered features and agents using LLMs
• Collaborate directly with users to understand workflows and improve how data is surfaced in the product
• Ship production-ready code quickly and iterate based on real customer feedback

You'll Thrive Here If You:

• Have 1–5 years of experience as a Full Stack Software Engineer
• Have experience shipping production full-stack products used by real customers
• Are comfortable working with React, Next.js, and Python
• Have experience building or integrating AI features, LLMs, or AI agents
• Enjoy working in fast-paced startup environments where engineers ship quickly
• Are excited about building products that support mission-critical defense and national security problems

Nice-to-Haves

• Experience as a technical founder or early startup engineer
• Background working on AI products or high-growth tech startups
• Experience as a Forward Deployed Engineer
• Active GitHub contributions, hackathons, or personal projects

What We Offer

• Competitive base salary and meaningful early-stage equity
• High ownership environment where engineers ship and iterate quickly
• In-person culture with strong collaboration and fast decision-making
• Opportunity to help build foundational technology powering a massive government and defense market

Must-Haves (Logistics)

• U.S. Citizen
• Ability to work on-site in San Francisco 5 days per week
• Authorized to work in the U.S. (visa sponsorship not available)

Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock.

We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7.

We are looking for a pragmatic Applied AI Engineer to join our engineering team.

The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs.

Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data.

You will solve problems like:

• Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents)  from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible.
• Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis.
• Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen.

• Engineer the Integration: Writing production-grade code that interacts with external AI APIs
• "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools.
• Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user.
• Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval.
• Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand.

• Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. 
• Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails.
• Data Handling: Experience with handling complex data structures.
• The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features.
• Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices.

• Experience with AWS infrastructure.
• Familiarity with the US Real Estate, Title, or Escrow process.

• Working in a transparent environment which focuses on solving problems and getting things done.
• The opportunity to work with very smart and driven people.
• The ability to grow your talents and career in a high-growth sector.
• A remuneration package that is based on the candidate's motivation, skills, and experience.

Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable. 

Sr. Platform Engineer | Hybrid in Irving, TX or Baltimore, MD

Optomi, partnering with a top financial services organization, is seeking a Sr. Platform Engineer with experience in contact center systems, reporting, and financial platforms. This hands-on role will take ownership of ongoing projects, deploy NiceCX, integrate GenAI, and build scalable applications and automations that enhance contact center operations. The ideal candidate thrives in fast-paced environments, can work independently with minimal onboarding, and collaborates effectively across teams.

Why This Role Is Exciting:

• Opportunity to move from contract to permanent employment
• Flexible onsite and remote work options
• Work with innovative technologies, including AI-driven automation and analytics
• Play a key role in end-to-end platform development and operational improvements

Responsibilities of the right candidate:

• Build, maintain, and enhance REST and GraphQL APIs, connecting NiceCX and other contact center platforms to internal systems.
• Integrate and maintain telephony systems (SIP, VoIP, PBX), IVR, chatbots, omnichannel routing, and CRM platforms.
• Deploy and operate applications on AWS (EC2, Lambda, S3, API Gateway), ensuring availability, reliability, and scalability.
• Establish and manage deployment pipelines using GitHub, Jenkins, and Kubernetes for seamless, automated delivery.
• Create workflows, reporting dashboards, and operational automations to boost efficiency and agent productivity.
• Monitor, analyze, and optimize system performance for real-time contact center workloads.
• Utilize logging, monitoring, and alerting tools (AWS CloudWatch, ELK stack) to maintain high operational standards.
• Partner with architects, product owners, QA teams, and senior engineers; mentor junior developers; contribute to architectural and technical decision-making.
• Produce technical documentation, runbooks, and knowledge-sharing materials to support operational continuity.
• Follow secure development practices and ensure systems meet regulatory requirements (PCI, SOC2, etc.).

Experience of the right candidate:

• 6–8+ years of professional software development experience
• Strong programming skills in Java, Python, JavaScript, and TypeScript
• Experience designing, developing, and consuming REST APIs
• Hands-on experience with AWS cloud services (EC2, Lambda, S3, API Gateway)
• Familiarity with DevOps and CI/CD tools: GitHub, Jenkins, Kubernetes
• Exposure to contact center technologies, telephony, or customer engagement platforms
• Solid understanding of software engineering best practices: version control, testing, debugging
• Ability to thrive in agile, collaborative team environments
• Enterprise financial services experience