Top skills to feature
- Python
- JavaScript / TypeScript
- Java
- AWS
- Kubernetes
- Docker
- CI/CD
- REST APIs
- Microservices
- SQL / PostgreSQL
- System Design
- Git
The median annual wage for software developers in the United States is $133,080 (BLS, May 2024), with the top 10 percent clearing $211,450. The field is projected to grow 17.9% through 2033 — faster than almost any other occupation. That growth means there are real jobs to land, but each posting still attracts hundreds of applications. What decides who makes the phone screen is not raw talent; it is whether the resume passes an automated filter and then earns 30 seconds of a recruiter’s attention.
This page gives you a complete, ready-to-adapt sample resume, explains why each decision was made, walks through ATS keyword strategy, and flags the five mistakes that knock otherwise-strong candidates out of the funnel.
Full Sample Resume
Jordan Mercer San Francisco, CA · jordan.mercer@email.com · linkedin.com/in/jordanmercer · github.com/jordanmercer
Summary
Backend-leaning software engineer with 6 years building distributed systems and data pipelines at mid-stage SaaS companies. Reduced average API response time 62% at Vantix by redesigning service communication from synchronous REST chains to async event-driven architecture. Comfortable owning full feature cycles from schema design through CI/CD rollout. Seeking a senior IC role where engineering rigor and product velocity are both valued.
Experience
Senior Software Engineer — Vantix Analytics, San Francisco, CA March 2022 – Present
- Redesigned core data ingestion pipeline from a monolithic batch job to a Kafka-based microservices architecture, reducing end-to-end processing latency from 4.2 hours to 18 minutes and cutting infrastructure costs by $34,000/year.
- Led a cross-functional team of 4 engineers to migrate 14 internal services from AWS EC2 to EKS (Kubernetes), achieving 99.97% uptime across a 6-month rollout with zero customer-impacting incidents.
- Built a real-time anomaly detection feature using Python and Apache Spark that flags 94% of data quality issues before they reach downstream dashboards, eliminating a weekly manual audit that consumed 6 analyst-hours.
- Mentored 2 junior engineers through code reviews and pair programming; both were promoted within 14 months.
Software Engineer — Brightloop Inc., Austin, TX July 2019 – February 2022
- Developed and maintained 12 RESTful API endpoints in Java (Spring Boot) serving 3.1 million monthly active users; held 99.9% availability SLA through two Black Friday traffic spikes.
- Reduced CI/CD pipeline execution time by 41% by parallelizing test suites in GitHub Actions and caching Docker layer builds, cutting developer wait time from 22 to 13 minutes per deploy.
- Implemented OAuth 2.0 and role-based access control for a multi-tenant SaaS product, passing SOC 2 Type II audit with zero security findings.
Software Engineering Intern — Crestwood Systems, Austin, TX May 2018 – June 2019
- Built a PostgreSQL query optimization layer that reduced report generation time by 55% for a client with 80M+ rows.
- Wrote integration tests with pytest covering 78% of a legacy Python codebase, enabling safe refactoring of the billing module.
Skills
Languages: Python, Java, JavaScript / TypeScript, Go, SQL
Frameworks & Libraries: Spring Boot, FastAPI, React, Node.js, Apache Spark, Kafka
Cloud & Infrastructure: AWS (EC2, EKS, S3, Lambda, RDS), Docker, Kubernetes, Terraform
Databases: PostgreSQL, MySQL, Redis, DynamoDB
DevOps & Tooling: GitHub Actions, Jenkins, CI/CD pipelines, Git, Datadog, New Relic
Practices: Microservices architecture, REST API design, system design, agile / Scrum, TDD
Education
B.S. Computer Science — University of Texas at Austin
Graduated May 2019 · GPA 3.7/4.0
Relevant coursework: Algorithms, Operating Systems, Distributed Computing, Database Systems
Why This Resume Works — Section by Section
Summary
The summary is three sentences and contains one specific, quantified achievement (62% API latency reduction). This accomplishes two things simultaneously: it gives the ATS a dense cluster of relevant keywords in the most-read part of the document, and it gives a human reader a concrete reason to keep reading before they see a single job title.
What to avoid: summaries that say “passionate software engineer with experience in modern technologies seeking a challenging role.” That phrasing contains zero information and zero keywords. Every word in a summary should be earning its position.
Experience Bullets
Each bullet follows the same internal structure: action verb → scope of work → quantified outcome. Notice that every metric is specific — $34,000 not “significant cost savings,” 18 minutes not “much faster,” 94% not “most issues.” Vague language invites a recruiter to assume the worst.
The bullets also show scope beyond solo code. Leading a team of 4, mentoring 2 engineers, holding an SLA across Black Friday traffic — these signals communicate that Jordan is not just a good coder but a dependable engineer who operates inside a broader system. That distinction matters for any role at the senior level.
Chronological order (most recent first) is the standard for software engineering and what ATS systems expect. Functional resumes — which group by skill category — confuse parsers and read as a red flag to experienced hiring managers.
Skills Section
The skills section is organized into named categories rather than a flat comma-separated list. Category grouping serves two audiences at once: ATS parsers can match skills to the structured fields many applicant tracking systems use for filtering, and human readers can scan in under five seconds to confirm the stack matches the role.
Note that both full names and abbreviations appear together where relevant (“JavaScript / TypeScript” rather than just “JS”). This prevents matching failures when a job description uses one form and your resume uses another.
Do not pad the skills section. If you list 40 skills, a recruiter assumes you are diluting genuine expertise. Twelve to eighteen skills, organized by category and matched to the role, outperforms an exhaustive inventory every time.
Education
For engineers with more than two years of experience, education belongs at the bottom. GPA is worth including if it is 3.5 or higher and you graduated within the last five years. After that, it takes up space better used for a stronger technical achievement. Relevant coursework is optional — include it only if you are earlier in your career and the courses signal depth in the role’s domain (Distributed Computing, for instance, is a direct keyword hit for distributed systems roles).
ATS Keyword Strategy for Software Engineer Roles
ATS software scores your resume against the job description before a human sees it. Understanding how scoring works lets you optimize without stuffing.
How keyword matching actually works
Most enterprise ATS platforms (Workday, Greenhouse, Lever, iCIMS) perform some combination of exact-string matching and TF-IDF-style weighting. A term that appears three times in the job description and zero times in your resume is a hard miss regardless of how closely related your actual experience is. The fix is not dishonesty — it is translation. If you’ve deployed containerized workloads and the JD says “Kubernetes orchestration,” use that phrase.
The highest-frequency keywords in 2026 software engineer JDs
Based on current postings, these terms appear in the largest share of software engineer job descriptions:
- Python — appears in roughly 65% of backend and full-stack JDs; often paired with FastAPI or Django
- Java — dominant in enterprise and fintech, usually with Spring Boot
- JavaScript / TypeScript — near-universal for any role touching the frontend; TypeScript is now the default at most companies, not an add-on
- AWS — the leading cloud platform by job-posting volume; specific services matter (EC2, EKS, Lambda, RDS, S3)
- Kubernetes — standard for any distributed/microservices role; spell it out, not K8s
- Docker — expected in nearly every backend and DevOps-adjacent role
- CI/CD — write it with the slash; “continuous integration” without the slash may not match
- REST APIs / RESTful — use both forms once each if your experience genuinely covers them
- Microservices — one of the most commonly required architectural patterns; include if real
- PostgreSQL / SQL — relational database proficiency is expected; name the specific system
- System design — appears in mid-to-senior JDs; signal it through experience bullets, not just as a listed skill
- Git — assumed but worth listing; GitHub and GitLab are specific platform terms that score separately
Placement strategy
Keyword density matters by section. ATS parsers weight the summary and skills section more heavily than the body of experience bullets in most platforms. Put your most critical stack terms in both the summary and the skills section, then reinforce them with contextual usage in bullets. Contextual usage — “Implemented RESTful APIs using Python and FastAPI” — signals proficiency rather than keyword farming and scores higher in systems that use semantic weighting.
Tailoring for each application
The single highest-ROI action you can take is to read the job description and mirror its exact language. Spend 10 minutes before each application identifying the three to five technologies and practices that repeat most often, then confirm each one appears in your resume in the same form. Do not rewrite the whole document — focus on your summary and the first bullet of your most recent role.
5 Common Software Engineer Resume Mistakes
1. Responsibilities without results
“Developed backend services for the payments platform” tells a recruiter you existed and were assigned work. “Reduced payments service P99 latency from 340ms to 80ms, improving checkout conversion by 1.3%” tells them you understand the business impact of your engineering decisions. Recruiters at technical companies know the difference. Go back through every bullet and ask: what changed because of this work, and by how much?
2. A skills section that lists everything you have ever touched
Engineers often list 30+ skills to signal breadth. The effect is the opposite. A recruiter for a Python/AWS role who sees Python buried alongside COBOL, Assembly, and ColdFusion does not see a Python expert. Keep your skills list tight — eight to eighteen skills — prioritized toward the role. Move anything you would be uncomfortable being tested on in an interview off the page entirely.
3. Outdated or ambiguous technology terms
“Experience with cloud technologies” means nothing. “AWS (EC2, EKS, Lambda, RDS)” means something specific. Similarly, “CI/CD tools” is weaker than “GitHub Actions, Jenkins.” Be specific. Specificity also serves as natural ATS keyword insertion because you are naming the exact tools that appear in job descriptions.
4. No visible link to GitHub or a portfolio
For software engineers, a GitHub profile with real commits is the most credible signal that your resume is honest. A profile with pinned repos that match your resume’s claimed stack converts skepticism into confidence. If your work is proprietary, even a personal project or open-source contribution demonstrates that you write code outside of work. Include the URL in the header — not as a footnote.
5. One-page dogma at the senior level
The one-page resume rule applies to early-career candidates. A software engineer with 5+ years of relevant experience cramming everything into one page typically does so by removing the quantified detail that makes bullets credible. Two pages is standard and expected at the senior level. The rule is that every line must earn its space — not that the document must be physically short.
Building and tailoring a resume for each role is the most time-intensive part of a job search. OfferFlow lets you maintain a single master profile — experience, skills, education — and generate a tailored resume in minutes, with ATS optimization built into the process so you are not manually checking keyword matches for every application.